diff --git a/DESCRIPTION b/DESCRIPTION index 2a2c1b6..080f810 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -43,7 +43,7 @@ URL: https://ellessenne.github.io/rsimsum/ BugReports: https://github.com/ellessenne/rsimsum/issues VignetteBuilder: knitr Roxygen: list(markdown = TRUE) -RoxygenNote: 7.2.3 +RoxygenNote: 7.3.1 LazyData: true ByteCompile: true Encoding: UTF-8 diff --git a/Makefile b/Makefile index 28244b7..09849ad 100644 --- a/Makefile +++ b/Makefile @@ -9,8 +9,6 @@ pre_submission_test: R -e "devtools::check_win_oldrelease(quiet = TRUE)" R -e "devtools::check_mac_release(quiet = TRUE)" R -e "rhub::check_for_cran()" - R -e "rhub::check(platforms = 'macos-highsierra-release-cran')" - R -e "rhub::check(platforms = 'macos-highsierra-release')" make style docs: diff --git a/NEWS.md b/NEWS.md index 26266ac..e4aec09 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,6 +1,12 @@ # rsimsum (development version) -* Fixed issues with nested loop plot when the simulation design is not fully-factorial (#47, thanks @mikesweeting). +* Fixed issues with nested loop plot when the simulation design is not fully-factorial (#47, thanks @mikesweeting); + +* Fixed wrong calculations when the same column was used in `true` and in `by` or elsewhere (#48, thanks @mikesweeting); + +* Updated columns names for confidence intervals in the `tt` dataset; + +* Updated documentation regarding column names that are not allowed when calling `simsum()` or `multisimsum()`. # rsimsum 0.12.0 diff --git a/R/data.R b/R/data.R index 70a5dcc..7ae10dd 100644 --- a/R/data.R +++ b/R/data.R @@ -96,7 +96,7 @@ #' @format A data frame with 4,000 rows and 8 variables: #' * `diff` The difference in mean between groups estimated by the t-test; #' * `se` Standard error of the estimated difference; -#' * `lower`, `upper` Confidence interval for the difference in mean as reported by the t-test; +#' * `conf.low`, `conf.high` Confidence interval for the difference in mean as reported by the t-test; #' * `df` The number of degrees of freedom assumed by the t-test; #' * `repno` Identifies each replication, between 1 and 500; #' * `dgm` Identifies each data-generating mechanism: 1 corresponds to normal data with equal variance between the groups, 2 is normal data with unequal variance, 3 and 4 are skewed data (simulated from a Gamma distribution) with equal and unequal variance between groups, respectively; diff --git a/R/performance.R b/R/performance.R index ff71c97..c47445b 100644 --- a/R/performance.R +++ b/R/performance.R @@ -1,5 +1,8 @@ #' @keywords internal .performance <- function(data, estvarname, se, true, empse_ref = NULL, rho = NULL, ci.limits, df, control) { + ### Adjust 'true' to use internal column if not NULL + if (!is.null(true)) true <- ":true" + ### Make object to return obj <- list() @@ -22,29 +25,17 @@ } # Bias if (!is.null(true)) { - if (is.character(true)) { - bias <- 1 / nsim * sum(data[[estvarname]] - data[[true]], na.rm = control$na.rm) - } else { - bias <- 1 / nsim * sum(data[[estvarname]] - true, na.rm = control$na.rm) - } + bias <- 1 / nsim * sum(data[[estvarname]] - data[[":true"]], na.rm = control$na.rm) } # Relative bias if (!is.null(true)) { - if (is.character(true)) { - rbias <- 1 / nsim * sum((data[[estvarname]] - data[[true]]) / data[[true]], na.rm = control$na.rm) - } else { - rbias <- 1 / nsim * sum((data[[estvarname]] - true) / true, na.rm = control$na.rm) - } + rbias <- 1 / nsim * sum((data[[estvarname]] - data[[":true"]]) / data[[":true"]], na.rm = control$na.rm) } # Empirical standard error empse <- sqrt(1 / (nsim - 1) * sum((data[[estvarname]] - mean(data[[estvarname]], na.rm = control$na.rm))^2, na.rm = control$na.rm)) # Mean squared error if (!is.null(true)) { - if (is.character(true)) { - mse <- 1 / nsim * sum((data[[estvarname]] - data[[true]])^2, na.rm = control$na.rm) - } else { - mse <- 1 / nsim * sum((data[[estvarname]] - true)^2, na.rm = control$na.rm) - } + mse <- 1 / nsim * sum((data[[estvarname]] - data[[":true"]])^2, na.rm = control$na.rm) } # Relative change in precision if (!is.null(empse_ref) & !is.null(rho)) { @@ -68,26 +59,14 @@ # Coverage of a nominal (1 - level)% confidence interval if (!is.null(true) & !is.null(se)) { if (is.null(ci.limits)) { - if (is.character(true)) { - cover <- 1 / nsim * sum(data[[true]] >= data[[estvarname]] - crit * data[[se]] & data[[true]] <= data[[estvarname]] + crit * data[[se]], na.rm = control$na.rm) - } else { - cover <- 1 / nsim * sum(true >= data[[estvarname]] - crit * data[[se]] & true <= data[[estvarname]] + crit * data[[se]], na.rm = control$na.rm) - } + cover <- 1 / nsim * sum(data[[":true"]] >= data[[estvarname]] - crit * data[[se]] & data[[":true"]] <= data[[estvarname]] + crit * data[[se]], na.rm = control$na.rm) } else { if (is.character(ci.limits)) { - if (is.character(true)) { - cover <- 1 / nsim * sum(data[[true]] >= data[[ci.limits[1]]] & data[[true]] <= data[[ci.limits[2]]], na.rm = control$na.rm) - } else { - cover <- 1 / nsim * sum(true >= data[[ci.limits[1]]] & true <= data[[ci.limits[2]]], na.rm = control$na.rm) - } + cover <- 1 / nsim * sum(data[[":true"]] >= data[[ci.limits[1]]] & data[[":true"]] <= data[[ci.limits[2]]], na.rm = control$na.rm) } else if (is.numeric(ci.limits)) { data[["lower"]] <- ci.limits[1] data[["upper"]] <- ci.limits[2] - if (is.character(true)) { - cover <- 1 / nsim * sum(data[[true]] >= data[["lower"]] & data[[true]] <= data[["upper"]], na.rm = control$na.rm) - } else { - cover <- 1 / nsim * sum(true >= data[["lower"]] & true <= data[["upper"]], na.rm = control$na.rm) - } + cover <- 1 / nsim * sum(data[[":true"]] >= data[["lower"]] & data[[":true"]] <= data[["upper"]], na.rm = control$na.rm) } } } @@ -112,20 +91,12 @@ if (control$mcse) { if (!is.null(true)) { bias_mcse <- sqrt(1 / (nsim * (nsim - 1)) * sum((data[[estvarname]] - mean(data[[estvarname]], na.rm = control$na.rm))^2, na.rm = control$na.rm)) - if (is.character(true)) { - rbias_i <- (data[[estvarname]] - data[[true]]) / data[[true]] - } else { - rbias_i <- (data[[estvarname]] - true) / true - } + rbias_i <- (data[[estvarname]] - data[[":true"]]) / data[[":true"]] rbias_mcse <- sd(rbias_i) / sqrt(nsim) } empse_mcse <- empse / sqrt(2 * (nsim - 1)) if (!is.null(true)) { - if (is.character(true)) { - mse_mcse <- sqrt(sum(((data[[estvarname]] - data[[true]])^2 - mse)^2, na.rm = control$na.rm) / (nsim * (nsim - 1))) - } else { - mse_mcse <- sqrt(sum(((data[[estvarname]] - true)^2 - mse)^2, na.rm = control$na.rm) / (nsim * (nsim - 1))) - } + mse_mcse <- sqrt(sum(((data[[estvarname]] - data[[":true"]])^2 - mse)^2, na.rm = control$na.rm) / (nsim * (nsim - 1))) } if (!is.null(empse_ref) & !is.null(rho)) { relprec_mcse <- 200 * (empse_ref / empse)^2 * sqrt((1 - rho^2) / (nsim - 1)) diff --git a/R/simsum.R b/R/simsum.R index b34d78a..86576e3 100644 --- a/R/simsum.R +++ b/R/simsum.R @@ -6,25 +6,32 @@ #' @param data A `data.frame` in which variable names are interpreted. #' It has to be in tidy format, e.g. each variable forms a column and each observation forms a row. #' @param estvarname The name of the variable containing the point estimates. +#' Note that some column names are forbidden: these are listed below in the _Details_ section. #' @param se The name of the variable containing the standard errors of the point estimates. +#' Note that some column names are forbidden: these are listed below in the _Details_ section. #' @param true The true value of the parameter; this is used in calculations of bias, relative bias, coverage, and mean squared error and is required whenever these performance measures are requested. #' `true` can be a numeric value or a string that identifies a column in `data`. #' In the former setting, `simsum` will assume the same value for all replications; conversely, each replication will use a distinct value for `true` as identified by each row of `data`. #' See `vignette("E-custom-inputs", package = "rsimsum")` for more details. +#' Note that some column names are forbidden: these are listed below in the _Details_ section. #' @param methodvar The name of the variable containing the methods to compare. #' For instance, methods could be the models compared within a simulation study. #' Can be `NULL`. #' If a vector of column names is passed to `simsum()`, those columns will be combined into a single column named `:methodvar` using the [base::interaction()] function before computing all performance measures. +#' Note that some column names are forbidden: these are listed below in the _Details_ section. #' @param ref Specifies the reference method against which relative precision will be calculated. #' Only useful if `methodvar` is specified. #' @param by A vector of variable names to compute performance measures by a list of factors. Factors listed here are the (potentially several) data-generating mechanisms used to simulate data under different scenarios (e.g. sample size, true distribution of a variable, etc.). #' Can be `NULL`. +#' Note that some column names are forbidden: these are listed below in the _Details_ section. #' @param ci.limits Can be used to specify the limits (lower and upper) of confidence intervals used to calculate coverage and bias-eliminated coverage. #' Useful for non-Wald type estimators (e.g. bootstrap). #' Defaults to `NULL`, where Wald-type confidence intervals based on the provided SEs are calculated for coverage; otherwise, it can be a numeric vector (for fixed confidence intervals) or a vector of strings that identify columns in `data` with replication-specific lower and upper limits. #' See `vignette("E-custom-inputs", package = "rsimsum")` for more details. +#' Note that some column names are forbidden: these are listed below in the _Details_ section. #' @param df Can be used to specify that a column containing the replication-specific number of degrees of freedom that will be used to calculate confidence intervals for coverage (and bias-eliminated coverage) assuming t-distributed critical values (rather than normal theory intervals). #' See `vignette("E-custom-inputs", package = "rsimsum")` for more details. +#' Note that some column names are forbidden: these are listed below in the _Details_ section. #' @param dropbig Specifies that point estimates or standard errors beyond the maximum acceptable values should be dropped. Defaults to `FALSE`. #' @param x Set to `TRUE` to include the `data` argument used to calculate summary statistics (i.e. after pre-processing the input dataset e.g. removing values deemed too large via the `dropbig` argument) as a slot. Calling `simsum` with `x = TRUE` is required to produce zipper plots. The downside is that the size of the returned object increases considerably, therefore it is set to `FALSE` by default. #' @param control A list of parameters that control the behaviour of `simsum`. @@ -43,7 +50,7 @@ #' @references Gasparini, A. 2018. rsimsum: Summarise results from Monte Carlo simulation studies. Journal of Open Source Software 3(26):739, \doi{10.21105/joss.00739} #' @export #' @details -#' The following names are not allowed for `estvarname`, `se`, `methodvar`, `by`: `stat`, `est`, `mcse`, `lower`, `upper`, `:methodvar`. +#' The following names are not allowed for any column in `data` that is passed to [simsum()]: `stat`, `est`, `mcse`, `lower`, `upper`, `:methodvar`, `:true`. #' #' @examples #' data("MIsim", package = "rsimsum") @@ -62,22 +69,6 @@ simsum <- function(data, dropbig = FALSE, x = FALSE, control = list()) { - # data("nlp", package = "rsimsum") - # nlp.subset <- nlp %>% - # dplyr::filter(!(ss == 100 & esigma == 2)) - # data <- nlp.subset - # estvarname <- "b" - # true <- 0 - # se <- "se" - # methodvar <- "model" - # by <- c("baseline", "ss", "esigma") - # ci.limits <- NULL - # df <- NULL - # dropbig <- FALSE - # x <- FALSE - # control <- list() - # ref <- NULL - ### Check arguments arg_checks <- checkmate::makeAssertCollection() # 'data' must be a data.frame @@ -109,13 +100,13 @@ simsum <- function(data, checkmate::assert_subset(x = by, choices = names(data), add = arg_checks) checkmate::assert_subset(x = methodvar, choices = names(data), add = arg_checks) checkmate::assert_subset(x = df, choices = names(data), add = arg_checks) - # 'estvarname', 'se', 'methodvar', 'by' , 'df' must not be any in ('stat', 'est', 'mcse', 'lower', 'upper', ':methodvar') - .private_names <- c("stat", "est", "mcse", "lower", "upper", ":methodvar") - checkmate::assert_false(x = (estvarname %in% .private_names), add = arg_checks) - if (!is.null(se)) checkmate::assert_false(x = (se %in% .private_names), add = arg_checks) - if (!is.null(methodvar)) checkmate::assert_false(x = any(methodvar %in% .private_names), add = arg_checks) - if (!is.null(by)) checkmate::assert_false(x = any(by %in% .private_names), add = arg_checks) - if (!is.null(df)) checkmate::assert_false(x = any(df %in% .private_names), add = arg_checks) + # 'estvarname', 'se', 'methodvar', 'by' , 'df' must not be any in ('stat', 'est', 'mcse', 'lower', 'upper', ':methodvar', ':true') + .private_names <- c("stat", "est", "mcse", "lower", "upper", ":methodvar", ":true") + .check_private(var = estvarname, label = "estvarname", private_names = .private_names) + .check_private(var = se, label = "se", private_names = .private_names) + .check_private(var = methodvar, label = "methodvar", private_names = .private_names) + .check_private(var = by, label = "by", private_names = .private_names) + .check_private(var = df, label = "df", private_names = .private_names) # Process vector of 'methodvar' if a vector user_methodvar <- NULL if (length(methodvar) > 1) { @@ -134,6 +125,7 @@ simsum <- function(data, if (is.character(ci.limits)) { checkmate::assert_character(x = ci.limits, len = 2, add = arg_checks) checkmate::assert_true(x = all(ci.limits %in% names(data)), add = arg_checks) + lapply(X = ci.limits, FUN = function(x) .check_private(var = x, label = "ci.limits", private_names = .private_names)) } if (is.numeric(ci.limits)) { checkmate::assert_numeric(x = ci.limits, len = 2, add = arg_checks) @@ -164,6 +156,15 @@ simsum <- function(data, ), recursive = FALSE) control <- control.tmp + ### Add hidden column with true values + if (!is.null(true)) { + if (is.character(true)) { + data[[":true"]] <- data[[true]] + } else { + data[[":true"]] <- true + } + } + ### Factorise 'methodvar', 'by' data <- .factorise(data = data, cols = c(methodvar, by)) @@ -256,6 +257,7 @@ simsum <- function(data, obj$control <- control if (x) { obj$x <- .br(lapply(data, .br)) + if (!is.null(true)) obj$x[[":true"]] <- NULL rownames(obj$x) <- NULL } diff --git a/R/utils.R b/R/utils.R index 371bf4b..948f2a9 100644 --- a/R/utils.R +++ b/R/utils.R @@ -201,3 +201,13 @@ data <- data[nrs > 0] return(data) } + +### Check private names +.check_private <- function(var, label, private_names) { + if (!is.null(var)) { + if (any(var %in% private_names)) { + this <- which(var %in% private_names) + stop(paste0("'", var[this], "' is not an allowed name for '", label, "'; see help('simsum') for more details."), call. = FALSE) + } + } +} diff --git a/data-raw/tt-data.R b/data-raw/tt-data.R index b039c0d..1fe75de 100644 --- a/data-raw/tt-data.R +++ b/data-raw/tt-data.R @@ -142,6 +142,8 @@ for (i in seq(B)) { tt.df[[i]] <- out } tt <- do.call(rbind.data.frame, tt.df) +library(dplyr) +tt <- rename(tt, conf.low = lower, conf.high = upper) ### Export for use in the package usethis::use_data(tt, overwrite = TRUE) diff --git a/data/tt.rda b/data/tt.rda index 2ce8682..648133d 100644 Binary files a/data/tt.rda and b/data/tt.rda differ diff --git a/docs/articles/A-introduction.html b/docs/articles/A-introduction.html index 7ee784d..7687a1c 100644 --- a/docs/articles/A-introduction.html +++ b/docs/articles/A-introduction.html @@ -80,7 +80,7 @@

Alessandro Gasparini

-

2023-05-27

+

2023-05-28

Source: vignettes/A-introduction.Rmd
A-introduction.Rmd
diff --git a/docs/articles/B-relhaz.html b/docs/articles/B-relhaz.html index 45f0de6..ba51917 100644 --- a/docs/articles/B-relhaz.html +++ b/docs/articles/B-relhaz.html @@ -80,7 +80,7 @@

Alessandro Gasparini

-

2023-05-27

+

2023-05-28

Source: vignettes/B-relhaz.Rmd
B-relhaz.Rmd
diff --git a/docs/articles/C-plotting.html b/docs/articles/C-plotting.html index 86926ef..f7d73d8 100644 --- a/docs/articles/C-plotting.html +++ b/docs/articles/C-plotting.html @@ -80,7 +80,7 @@

Alessandro Gasparini

-

2023-05-27

+

2023-05-28

Source: vignettes/C-plotting.Rmd
C-plotting.Rmd
diff --git a/docs/articles/D-nlp.html b/docs/articles/D-nlp.html index 533767f..1a94983 100644 --- a/docs/articles/D-nlp.html +++ b/docs/articles/D-nlp.html @@ -80,7 +80,7 @@

Alessandro Gasparini

-

2023-05-27

+

2023-05-28

Source: vignettes/D-nlp.Rmd
D-nlp.Rmd
diff --git a/docs/articles/E-custom-inputs.html b/docs/articles/E-custom-inputs.html index 175d521..fdfab7c 100644 --- a/docs/articles/E-custom-inputs.html +++ b/docs/articles/E-custom-inputs.html @@ -80,7 +80,7 @@

Alessandro Gasparini

-

2023-05-27

+

2023-05-28

Source: vignettes/E-custom-inputs.Rmd
E-custom-inputs.Rmd
@@ -100,7 +100,7 @@

Single Estimandlibrary(rsimsum) data("tt", package = "rsimsum") head(tt) -#> diff se lower upper df repno dgm method +#> diff se conf.low conf.high df repno dgm method #> 1 -2.185467 1.130916 -4.432925 0.06199072 88.00000 1 1 1 #> 2 -3.359683 1.572366 -6.484430 -0.23493506 88.00000 1 2 1 #> 3 -2.185467 1.285290 -4.778318 0.40738411 42.53603 1 1 2 @@ -129,7 +129,7 @@

Single Estimanddata as the ci.limits argument:

-s1 <- simsum(data = tt, estvarname = "diff", true = -1, se = "se", ci.limits = c("lower", "upper"), methodvar = "method", by = "dgm")
+s1 <- simsum(data = tt, estvarname = "diff", true = -1, se = "se", ci.limits = c("conf.low", "conf.high"), methodvar = "method", by = "dgm")
 #> 'ref' method was not specified, 1 set as the reference
 summary(s1, stats = "cover")
 #> Values are:
@@ -175,8 +175,8 @@ 
Single Estimand#>    2 1.0000 (0.0000) 1.0000 (0.0000)
 #>    3 1.0000 (0.0000) 1.0000 (0.0000)
 #>    4 1.0000 (0.0000) 1.0000 (0.0000)
-

If you have a better example of the utility of this method please get in touch - I’d love to -hear from you!

+

If you have a better example of the utility of this method please get +in touch: I’d love to hear from you!

By default, simsum will calculate confidence intervals using normal-theory, Wald-type intervals. It is possible to use t-based critical values by providing a column for the (replication-specific) @@ -185,8 +185,8 @@

Single Estimand
 s4 <- simsum(data = tt, estvarname = "diff", true = -1, se = "se", df = "df", methodvar = "method", by = "dgm")
 #> 'ref' method was not specified, 1 set as the reference
-

Given that the confidence intervals in (lower, -upper) are obtained by using critical values from a t +

Given that the confidence intervals in (conf.low, +conf.high) are obtained by using critical values from a t distribution, the results of s4 will be equivalent to the results of s1:

@@ -195,7 +195,7 @@ 
Single EstimandWe can pass a column of values for true as well:

 
 tt$true <- -1
-s5 <- simsum(data = tt, estvarname = "diff", true = "true", se = "se", ci.limits = c("lower", "upper"), methodvar = "method", by = "dgm")
+s5 <- simsum(data = tt, estvarname = "diff", true = "true", se = "se", ci.limits = c("conf.low", "conf.high"), methodvar = "method", by = "dgm")
 #> 'ref' method was not specified, 1 set as the reference
 summary(s5, stats = "cover")
 #> Values are:
@@ -369,15 +369,15 @@ 
Multiple Estimands at OnceOf course, it can be combined with custom confidence interval limits
 for coverage as well:

 
-frailty$lower <- frailty$b - qt(1 - 0.05 / 2, df = 10) * frailty$se
-frailty$upper <- frailty$b + qt(1 - 0.05 / 2, df = 10) * frailty$se
+frailty$conf.low <- frailty$b - qt(1 - 0.05 / 2, df = 10) * frailty$se
+frailty$conf.high <- frailty$b + qt(1 - 0.05 / 2, df = 10) * frailty$se
 
 ms3 <- multisimsum(
   data = frailty,
   par = "par", true = "true",
   estvarname = "b", se = "se", methodvar = "model",
   by = "fv_dist",
-  ci.limits = c("lower", "upper")
+  ci.limits = c("conf.low", "conf.high")
 )
 #> 'ref' method was not specified, Cox, Gamma set as the reference
 summary(ms3, stats = "cover")
diff --git a/docs/articles/F-rsimsumtidyverse.html b/docs/articles/F-rsimsumtidyverse.html
index 19e2693..e65c680 100644
--- a/docs/articles/F-rsimsumtidyverse.html
+++ b/docs/articles/F-rsimsumtidyverse.html
@@ -80,7 +80,7 @@
                         
Alessandro
 Gasparini

             
-            
2023-05-27

+            
2023-05-28

       
       Source: vignettes/F-rsimsumtidyverse.Rmd
       
F-rsimsumtidyverse.Rmd

diff --git a/docs/news/index.html b/docs/news/index.html
index d443dab..9df527e 100644
--- a/docs/news/index.html
+++ b/docs/news/index.html
@@ -57,7 +57,10 @@
 
     

 
rsimsum (development version)

-
  • Fixed issues with nested loop plot when the simulation design is not fully-factorial (#47, thanks @mikesweeting).
    • 
+
    • Fixed issues with nested loop plot when the simulation design is not fully-factorial (#47, thanks @mikesweeting);
      • 
+
    • Fixed wrong calculations when the same column was used in true and in by or elsewhere (#48, thanks @mikesweeting);
      • 
+
    • Updated columns names for confidence intervals in the tt dataset;
      • 
+
    • Updated documentation regarding column names that are not allowed when calling simsum() or multisimsum().
      • 
 

     

 
rsimsum 0.12.0

diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml
index ba4126d..2652d2a 100644
--- a/docs/pkgdown.yml
+++ b/docs/pkgdown.yml
@@ -8,7 +8,7 @@ articles:
   D-nlp: D-nlp.html
   E-custom-inputs: E-custom-inputs.html
   F-rsimsumtidyverse: F-rsimsumtidyverse.html
-last_built: 2023-05-27T10:43Z
+last_built: 2023-05-28T14:41Z
 urls:
   reference: https://ellessenne.github.io/rsimsum/reference
   article: https://ellessenne.github.io/rsimsum/articles
diff --git a/docs/reference/multisimsum.html b/docs/reference/multisimsum.html
index 6b6ef0b..d7b8024 100644
--- a/docs/reference/multisimsum.html
+++ b/docs/reference/multisimsum.html
@@ -107,25 +107,29 @@ 
Argumentsvignette("E-custom-inputs", package = "rsimsum") for more details.

+See vignette("E-custom-inputs", package = "rsimsum") for more details.
+Note that some column names are forbidden: these are listed below in the Details section.

 
 
 
methodvar

 
The name of the variable containing the methods to compare.
 For instance, methods could be the models compared within a simulation study.
 Can be NULL.
-If a vector of column names is passed to simsum(), those columns will be combined into a single column named :methodvar using the base::interaction() function before computing all performance measures.

+If a vector of column names is passed to simsum(), those columns will be combined into a single column named :methodvar using the base::interaction() function before computing all performance measures.
+Note that some column names are forbidden: these are listed below in the Details section.

 
 
 
ref

@@ -135,19 +139,22 @@ 
Argumentsvignette("E-custom-inputs", package = "rsimsum") for more details.

+See vignette("E-custom-inputs", package = "rsimsum") for more details.
+Note that some column names are forbidden: these are listed below in the Details section.

 
 
 
df

 
Can be used to specify that a column containing the replication-specific number of degrees of freedom that will be used to calculate confidence intervals for coverage (and bias-eliminated coverage) assuming t-distributed critical values (rather than normal theory intervals).
-See vignette("E-custom-inputs", package = "rsimsum") for more details.

+See vignette("E-custom-inputs", package = "rsimsum") for more details.
+Note that some column names are forbidden: these are listed below in the Details section.

 
 
 
dropbig

diff --git a/docs/reference/simsum.html b/docs/reference/simsum.html
index 2d337cc..059132e 100644
--- a/docs/reference/simsum.html
+++ b/docs/reference/simsum.html
@@ -95,25 +95,29 @@ 
Argumentsvignette("E-custom-inputs", package = "rsimsum") for more details.

+See vignette("E-custom-inputs", package = "rsimsum") for more details.
+Note that some column names are forbidden: these are listed below in the Details section.

 
 
 
methodvar

 
The name of the variable containing the methods to compare.
 For instance, methods could be the models compared within a simulation study.
 Can be NULL.
-If a vector of column names is passed to simsum(), those columns will be combined into a single column named :methodvar using the base::interaction() function before computing all performance measures.

+If a vector of column names is passed to simsum(), those columns will be combined into a single column named :methodvar using the base::interaction() function before computing all performance measures.
+Note that some column names are forbidden: these are listed below in the Details section.

 
 
 
ref

@@ -123,19 +127,22 @@ 
Argumentsvignette("E-custom-inputs", package = "rsimsum") for more details.

+See vignette("E-custom-inputs", package = "rsimsum") for more details.
+Note that some column names are forbidden: these are listed below in the Details section.

 
 
 
df

 
Can be used to specify that a column containing the replication-specific number of degrees of freedom that will be used to calculate confidence intervals for coverage (and bias-eliminated coverage) assuming t-distributed critical values (rather than normal theory intervals).
-See vignette("E-custom-inputs", package = "rsimsum") for more details.

+See vignette("E-custom-inputs", package = "rsimsum") for more details.
+Note that some column names are forbidden: these are listed below in the Details section.

 
 
 
dropbig

@@ -167,7 +174,7 @@ 
Value

     

     
Details

-    
The following names are not allowed for estvarname, se, methodvar, by: stat, est, mcse, lower, upper, :methodvar.

+    
The following names are not allowed for any column in data that is passed to simsum(): stat, est, mcse, lower, upper, :methodvar, :true.

     

     

     
References

diff --git a/docs/reference/tt.html b/docs/reference/tt.html
index 2dc7b58..c2f8538 100644
--- a/docs/reference/tt.html
+++ b/docs/reference/tt.html
@@ -75,7 +75,7 @@ 
Usage
     
Format

     
A data frame with 4,000 rows and 8 variables:
  • diff The difference in mean between groups estimated by the t-test;
    • 
 
  • se Standard error of the estimated difference;
    • 
-
  • lower, upper Confidence interval for the difference in mean as reported by the t-test;
    • 
+
  • conf.low, conf.high Confidence interval for the difference in mean as reported by the t-test;
    • 
 
  • df The number of degrees of freedom assumed by the t-test;
    • 
 
  • repno Identifies each replication, between 1 and 500;
    • 
 
  • dgm Identifies each data-generating mechanism: 1 corresponds to normal data with equal variance between the groups, 2 is normal data with unequal variance, 3 and 4 are skewed data (simulated from a Gamma distribution) with equal and unequal variance between groups, respectively;
    • 
diff --git a/docs/search.json b/docs/search.json
index 660bad9..08f4ecb 100644
--- a/docs/search.json
+++ b/docs/search.json
@@ -1 +1 @@
-[{"path":[]},{"path":"https://ellessenne.github.io/rsimsum/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"interest fostering open welcoming environment, contributors maintainers pledge making participation project community harassment-free experience everyone, regardless age, body size, disability, ethnicity, sex characteristics, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, religion, sexual identity orientation.","code":""},{"path":"https://ellessenne.github.io/rsimsum/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes creating positive environment include: Using welcoming inclusive language respectful differing viewpoints experiences Gracefully accepting constructive criticism Focusing best community Showing empathy towards community members Examples unacceptable behavior participants include: use sexualized language imagery unwelcome sexual attention advances Trolling, insulting/derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical electronic address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"https://ellessenne.github.io/rsimsum/CODE_OF_CONDUCT.html","id":"our-responsibilities","dir":"","previous_headings":"","what":"Our Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Project maintainers responsible clarifying standards acceptable behavior expected take appropriate fair corrective action response instances unacceptable behavior. Project maintainers right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, ban temporarily permanently contributor behaviors deem inappropriate, threatening, offensive, harmful.","code":""},{"path":"https://ellessenne.github.io/rsimsum/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within project spaces public spaces individual representing project community. Examples representing project community include using official project e-mail address, posting via official social media account, acting appointed representative online offline event. Representation project may defined clarified project maintainers.","code":""},{"path":"https://ellessenne.github.io/rsimsum/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported contacting project team alessandro.gasparini@ki.se. complaints reviewed investigated result response deemed necessary appropriate circumstances. project team obligated maintain confidentiality regard reporter incident. details specific enforcement policies may posted separately. Project maintainers follow enforce Code Conduct good faith may face temporary permanent repercussions determined members project’s leadership.","code":""},{"path":"https://ellessenne.github.io/rsimsum/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 1.4, available https://www.contributor-covenant.org/version/1/4/code--conduct.html answers common questions code conduct, see https://www.contributor-covenant.org/faq","code":""},{"path":"https://ellessenne.github.io/rsimsum/CONTRIBUTING.html","id":null,"dir":"","previous_headings":"","what":"Contributing","title":"Contributing","text":"want contribute project make better, help welcome. small, simple changes fixing typos can edit file directly GitHub clicking Edit button opening . complicated changes, manually create pull request (PR) forking repository. See next section information. submit non-trivial pull request (e.g. just fixing typo), may add name Authors@R field contributor (ctb) R package DESCRIPTION file wish.","code":""},{"path":"https://ellessenne.github.io/rsimsum/CONTRIBUTING.html","id":"pull-request-workflow","dir":"","previous_headings":"","what":"Pull Request Workflow","title":"Contributing","text":"Create personal fork project Github, clone fork local machine; Create new branch work ; Implement/fix feature, comment code; Follow code style project, including indentation; Run tests using devtools: devtools::test(); Write adapt tests needed; Add change documentation needed. Please run roxygen2, include changes .Rd files pull request - re-roxygenise documentation ; Push branch fork Github; fork open pull request correct branch. step--step workflow adapted https://github.com/MarcDiethelm/contributing. Working first Pull Request? can learn free series Contribute Open Source Project GitHub.","code":""},{"path":"https://ellessenne.github.io/rsimsum/CONTRIBUTING.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"Contributing","text":"contributing project agree adhere Contributors Code Conduct: please read CONDUCT.md proposing change.","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/A-introduction.html","id":"rsimsum","dir":"Articles","previous_headings":"","what":"rsimsum","title":"Introduction to rsimsum","text":"rsimsum R package can compute summary statistics simulation studies. inspired user-written command simsum Stata (White .R., 2010). aim rsimsum helping reporting simulation studies, including understanding role chance results simulation studies. Specifically, rsimsum can compute Monte Carlo standard errors summary statistics, defined standard deviation estimated summary statistic; reported default. Formula summary statistics Monte Carlo standard errors presented next section. Note terms summary statistic performance measure used interchangeably.","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/A-introduction.html","id":"notation","dir":"Articles","previous_headings":"","what":"Notation","title":"Introduction to rsimsum","text":"use th following notation throughout vignette: \\(\\theta\\): estimand, true value \\(n_{\\text{sim}}\\): number simulations \\(= 1, \\dots, n_{\\text{sim}}\\): indexes given simulation \\(\\hat{\\theta}_i\\): estimated value \\(\\theta\\) \\(^{\\text{th}}\\) replication \\(\\widehat{\\text{Var}}(\\hat{\\theta}_i)\\): estimated variance \\(\\text{Var}(\\hat{\\theta}_i)\\) \\(\\hat{\\theta}_i\\) \\(^{\\text{th}}\\) replication \\(\\text{Var}(\\hat{\\theta})\\): empirical variance \\(\\hat{\\theta}\\) \\(\\alpha\\): nominal significance level","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/A-introduction.html","id":"performance-measures","dir":"Articles","previous_headings":"","what":"Performance measures","title":"Introduction to rsimsum","text":"first performance measure interest bias, quantifies whether estimator targets true value \\(\\theta\\) average. Bias calculated : \\[\\text{Bias} = \\frac{1}{n_{\\text{sim}}} \\sum_{= 1} ^ {n_{\\text{sim}}} \\hat{\\theta}_i - \\theta\\] Monte Carlo standard error bias calculated : \\[\\text{MCSE(Bias)} = \\sqrt{\\frac{\\frac{1}{n_{\\text{sim}} - 1} \\sum_{= 1} ^ {n_{\\text{sim}}} (\\hat{\\theta}_i - \\bar{\\theta}) ^ 2}{n_{\\text{sim}}}}\\] rsimsum can also compute relative bias (relative true value \\(\\theta\\)), can interpreted similarly bias, relative terms rather absolute. calculated : \\[\\text{Relative Bias} = \\frac{1}{n_{\\text{sim}}} \\sum_{= 1} ^ {n_{\\text{sim}}} \\frac{\\hat{\\theta}_i - \\theta}{\\theta}\\] Monte Carlo standard error calculated : \\[ \\text{MCSE(Relative Bias)} =  \\sqrt{\\frac{1}{n_{\\text{sim}} (n_{\\text{sim}} - 1)} \\sum_i^{n_{\\text{sim} \\left[ \\frac{\\hat{\\theta}_i - \\theta}{\\theta} - \\widehat{\\text{Relative Bias}} \\right]^2} \\] empirical standard error \\(\\theta\\) depends \\(\\hat{\\theta}\\) require knowledge \\(\\theta\\). estimates standard deviation \\(\\hat{\\theta}\\) \\(n_{\\text{sim}}\\) replications: \\[\\text{Empirical SE} = \\sqrt{\\frac{1}{n_{\\text{sim}} - 1} \\sum_{= 1} ^ {n_{\\text{sim}}} (\\hat{\\theta}_i - \\bar{\\theta}) ^ 2}\\] Monte Carlo standard error calculated : \\[\\text{MCSE(Emp. SE)} = \\frac{\\widehat{\\text{Emp. SE}}}{\\sqrt{2 (n_{\\text{sim}} - 1)}}\\] comparing different methods, relative precision given method B reference method computed : \\[\\text{Relative % increase precision} = 100 \\left[ \\left( \\frac{\\widehat{\\text{Emp. SE}}_A}{\\widehat{\\text{Emp. SE}}_B} \\right) ^ 2 - 1 \\right]\\] (approximated) Monte Carlo standard error : \\[\\text{MCSE(Relative % increase precision)} \\simeq 200 \\left( \\frac{\\widehat{\\text{Emp. SE}}_A}{\\widehat{\\text{Emp. SE}}_B} \\right)^2 \\sqrt{\\frac{1 - \\rho^2_{AB}}{n_{\\text{sim}} - 1}}\\] \\(\\rho^2_{AB}\\) correlation \\(\\hat{\\theta}_A\\) \\(\\hat{\\theta}_B\\). measure takes account precision accuracy method mean squared error, sum squared bias variance \\(\\hat{\\theta}\\): \\[\\text{MSE} = \\frac{1}{n_{\\text{sim}}} \\sum_{= 1} ^ {n_{\\text{sim}}} (\\hat{\\theta}_i - \\theta) ^ 2\\] Monte Carlo standard error : \\[\\text{MCSE(MSE)} = \\sqrt{\\frac{\\sum_{= 1} ^ {n_{\\text{sim}}} \\left[ (\\hat{\\theta}_i - \\theta) ^2 - \\text{MSE} \\right] ^ 2}{n_{\\text{sim}} (n_{\\text{sim}} - 1)}}\\] model based standard error computed averaging estimated standard errors replication: \\[\\text{Model SE} = \\sqrt{\\frac{1}{n_{\\text{sim}}} \\sum_{= 1} ^ {n_{\\text{sim}}} \\widehat{\\text{Var}}(\\hat{\\theta}_i)}\\] (approximated) Monte Carlo standard error computed : \\[\\text{MCSE(Model SE)} \\simeq \\sqrt{\\frac{\\text{Var}[\\widehat{\\text{Var}}(\\hat{\\theta}_i)]}{4 n_{\\text{sim}} \\widehat{\\text{Model SE}}}}\\] model standard error targets empirical standard error. Hence, relative error model standard error informative performance measure: \\[\\text{Relative % error model SE} = 100 \\left( \\frac{\\text{Model SE}}{\\text{Empirical SE}} - 1\\right)\\] Monte Carlo standard error computed : \\[\\text{MCSE(Relative % error model SE)} = 100 \\left( \\frac{\\text{Model SE}}{\\text{Empirical SE}} \\right) \\sqrt{\\frac{\\text{Var}[\\widehat{\\text{Var}}(\\hat{\\theta}_i)]}{4 n_{\\text{sim}} \\widehat{\\text{Model SE}} ^ 4} + \\frac{1}{2(n_{\\text{sim}} - 1)}}\\] Coverage another key property estimator. defined probability confidence interval contains true value \\(\\theta\\), computed : \\[\\text{Coverage} = \\frac{1}{n_{\\text{sim}}} \\sum_{= 1} ^ {n_{\\text{sim}}} (\\hat{\\theta}_{, \\text{low}} \\le \\theta \\le \\hat{\\theta}_{, \\text{upp}})\\] \\((\\cdot)\\) indicator function. Monte Carlo standard error computed : \\[\\text{MCSE(Coverage)} = \\sqrt{\\frac{\\text{Coverage} \\times (1 - \\text{Coverage})}{n_{\\text{sim}}}}\\] coverage expected : \\(\\text{Bias} \\ne 0\\), \\(\\text{Models SE} < \\text{Empirical SE}\\), distribution \\(\\hat{\\theta}\\) normal intervals constructed assuming normality, \\(\\widehat{\\text{Var}}(\\hat{\\theta}_i)\\) variable coverage occurs result \\(\\text{Models SE} > \\text{Empirical SE}\\). coverage may result bias, another useful summary statistic bias-eliminated coverage: \\[\\text{Bias-eliminated coverage} = \\frac{1}{n_{\\text{sim}}} \\sum_{= 1} ^ {n_{\\text{sim}}} (\\hat{\\theta}_{, \\text{low}} \\le \\bar{\\theta} \\le \\hat{\\theta}_{, \\text{upp}}) \\] Monte Carlo standard error analogously coverage: \\[\\text{MCSE(Bias-eliminated coverage)} = \\sqrt{\\frac{\\text{Bias-eliminated coverage} \\times (1 - \\text{Bias-eliminated coverage})}{n_{\\text{sim}}}}\\] Finally, power significance test \\(\\alpha\\) level defined : \\[\\text{Power} = \\frac{1}{n_{\\text{sim}}} \\sum_{= 1} ^ {n_{\\text{sim}}} \\left[ |\\hat{\\theta}_i| \\ge z_{\\alpha/2} \\times \\sqrt{\\widehat{\\text{Var}}(\\hat{\\theta_i})} \\right]\\] Monte Carlo standard error analogously coverage: \\[\\text{MCSE(Power)} = \\sqrt{\\frac{\\text{Power} \\times (1 - \\text{Power})}{n_{\\text{sim}}}}\\] information summary statistics simulation studies can found White (2010) Morris, White, Crowther (2019).","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/A-introduction.html","id":"example-1-simulation-study-on-missing-data","dir":"Articles","previous_headings":"","what":"Example 1: Simulation study on missing data","title":"Introduction to rsimsum","text":"example dataset included rsimsum aim summarise simulation study comparing different ways handle missing covariates fitting Cox model (White Royston, 2009). One thousand datasets simulated, containing normally distributed covariates \\(x\\) \\(z\\) time--event outcome. covariates \\(20\\%\\) values deleted independently variables data became missing completely random (Little Rubin, 2002). simulated dataset analysed three ways. Cox model fit complete cases (CC). two methods multiple imputation using chained equations (van Buuren, Boshuizen, Knook, 1999) used. MI_LOGT method multiply imputes missing values \\(x\\) \\(z\\) outcome included \\(\\log(t)\\) \\(d\\), \\(t\\) survival time \\(d\\) event indicator. MI_T method except \\(\\log(t)\\) replaced \\(t\\) imputation model. load data usual way: Let’s look first 10 rows dataset: included variables : dataset, number simulated dataset; method, method used (CC, MI_LOGT MI_T); b, point estimate; se, standard error point estimate. summarise results simulation study method using simsum function: set true = 0.50 true value point estimate b - data simulated - 0.50. select CC reference method consider complete cases analysis reference method benchmark ; set reference method, simsum picks one automatically. Using default settings, Monte Carlo standard errors computed returned. Summarising simsum object, obtain following output: output begins brief overview setting simulation study (e.g. method variable, unique methods, etc.), continues summary statistic method (defined, case). values reported point estimates Monte Carlo standard errors brackets; however, also possible require confidence intervals based Monte Carlo standard errors reported instead: Highlighting points interest summary results : CC method small-sample bias away null (point estimate 0.0168, 95% confidence interval: 0.0074 - 0.0261); CC inefficient compared MI_LOGT MI_T: relative gain precision two methods 1.3105% 1.2637% compared CC, respectively; Model-based standard errors close empirical standard errors; Coverage nominal 95% confidence intervals also seems fine, surprising view generally low (lack ) bias good model-based standard errors; CC lower power compared MI_LOGT MI_T, surprising view inefficiency.","code":"library(rsimsum) data(\"MIsim\", package = \"rsimsum\") head(MIsim, n = 10) #> # A tibble: 10 × 4 #>    dataset method      b    se #>            #>  1       1 CC      0.707 0.147 #>  2       1 MI_T    0.684 0.126 #>  3       1 MI_LOGT 0.712 0.141 #>  4       2 CC      0.349 0.160 #>  5       2 MI_T    0.406 0.141 #>  6       2 MI_LOGT 0.429 0.136 #>  7       3 CC      0.650 0.152 #>  8       3 MI_T    0.503 0.130 #>  9       3 MI_LOGT 0.560 0.117 #> 10       4 CC      0.432 0.126 str(MIsim) #> tibble [3,000 × 4] (S3: tbl_df/tbl/data.frame) #>  $ dataset: num [1:3000] 1 1 1 2 2 2 3 3 3 4 ... #>  $ method : chr [1:3000] \"CC\" \"MI_T\" \"MI_LOGT\" \"CC\" ... #>  $ b      : num [1:3000] 0.707 0.684 0.712 0.349 0.406 ... #>  $ se     : num [1:3000] 0.147 0.126 0.141 0.16 0.141 ... #>  - attr(*, \"label\")= chr \"simsum example: data from a simulation study comparing 3 ways to handle missing\" s1 <- simsum(data = MIsim, estvarname = \"b\", true = 0.50, se = \"se\", methodvar = \"method\", ref = \"CC\") ss1 <- summary(s1) ss1 #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Non-missing point estimates/standard errors: #>    CC MI_LOGT MI_T #>  1000    1000 1000 #>  #> Average point estimate: #>      CC MI_LOGT   MI_T #>  0.5168  0.5009 0.4988 #>  #> Median point estimate: #>      CC MI_LOGT   MI_T #>  0.5070  0.4969 0.4939 #>  #> Average variance: #>      CC MI_LOGT   MI_T #>  0.0216  0.0182 0.0179 #>  #> Median variance: #>      CC MI_LOGT   MI_T #>  0.0211  0.0172 0.0169 #>  #> Bias in point estimate: #>               CC         MI_LOGT             MI_T #>  0.0168 (0.0048) 0.0009 (0.0042) -0.0012 (0.0043) #>  #> Relative bias in point estimate: #>               CC         MI_LOGT             MI_T #>  0.0335 (0.0096) 0.0018 (0.0083) -0.0024 (0.0085) #>  #> Empirical standard error: #>               CC         MI_LOGT            MI_T #>  0.1511 (0.0034) 0.1320 (0.0030) 0.1344 (0.0030) #>  #> % gain in precision relative to method CC: #>               CC          MI_LOGT             MI_T #>  0.0000 (0.0000) 31.0463 (3.9375) 26.3682 (3.8424) #>  #> Mean squared error: #>               CC         MI_LOGT            MI_T #>  0.0231 (0.0011) 0.0174 (0.0009) 0.0181 (0.0009) #>  #> Model-based standard error: #>               CC         MI_LOGT            MI_T #>  0.1471 (0.0005) 0.1349 (0.0006) 0.1338 (0.0006) #>  #> Relative % error in standard error: #>                CC         MI_LOGT             MI_T #>  -2.6594 (2.2055) 2.2233 (2.3323) -0.4412 (2.2695) #>  #> Coverage of nominal 95% confidence interval: #>               CC         MI_LOGT            MI_T #>  0.9430 (0.0073) 0.9490 (0.0070) 0.9430 (0.0073) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>               CC         MI_LOGT            MI_T #>  0.9400 (0.0075) 0.9490 (0.0070) 0.9430 (0.0073) #>  #> Power of 5% level test: #>               CC         MI_LOGT            MI_T #>  0.9460 (0.0071) 0.9690 (0.0055) 0.9630 (0.0060) print(ss1, mcse = FALSE) #> Values are: #>  Point Estimate (95% Confidence Interval based on Monte Carlo Standard Errors) #>  #> Non-missing point estimates/standard errors: #>    CC MI_LOGT MI_T #>  1000    1000 1000 #>  #> Average point estimate: #>      CC MI_LOGT   MI_T #>  0.5168  0.5009 0.4988 #>  #> Median point estimate: #>      CC MI_LOGT   MI_T #>  0.5070  0.4969 0.4939 #>  #> Average variance: #>      CC MI_LOGT   MI_T #>  0.0216  0.0182 0.0179 #>  #> Median variance: #>      CC MI_LOGT   MI_T #>  0.0211  0.0172 0.0169 #>  #> Bias in point estimate: #>                       CC                  MI_LOGT                      MI_T #>  0.0168 (0.0074, 0.0261) 0.0009 (-0.0073, 0.0091) -0.0012 (-0.0095, 0.0071) #>  #> Relative bias in point estimate: #>                       CC                  MI_LOGT                      MI_T #>  0.0335 (0.0148, 0.0523) 0.0018 (-0.0145, 0.0182) -0.0024 (-0.0190, 0.0143) #>  #> Empirical standard error: #>                       CC                 MI_LOGT                    MI_T #>  0.1511 (0.1445, 0.1577) 0.1320 (0.1262, 0.1378) 0.1344 (0.1285, 0.1403) #>  #> % gain in precision relative to method CC: #>                       CC                    MI_LOGT                       MI_T #>  0.0000 (0.0000, 0.0000) 31.0463 (23.3290, 38.7636) 26.3682 (18.8372, 33.8991) #>  #> Mean squared error: #>                       CC                 MI_LOGT                    MI_T #>  0.0231 (0.0209, 0.0253) 0.0174 (0.0157, 0.0191) 0.0181 (0.0163, 0.0198) #>  #> Model-based standard error: #>                       CC                 MI_LOGT                    MI_T #>  0.1471 (0.1461, 0.1481) 0.1349 (0.1338, 0.1361) 0.1338 (0.1327, 0.1350) #>  #> Relative % error in standard error: #>                         CC                  MI_LOGT                      MI_T #>  -2.6594 (-6.9820, 1.6633) 2.2233 (-2.3480, 6.7946) -0.4412 (-4.8894, 4.0070) #>  #> Coverage of nominal 95% confidence interval: #>                       CC                 MI_LOGT                    MI_T #>  0.9430 (0.9286, 0.9574) 0.9490 (0.9354, 0.9626) 0.9430 (0.9286, 0.9574) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>                       CC                 MI_LOGT                    MI_T #>  0.9400 (0.9253, 0.9547) 0.9490 (0.9354, 0.9626) 0.9430 (0.9286, 0.9574) #>  #> Power of 5% level test: #>                       CC                 MI_LOGT                    MI_T #>  0.9460 (0.9320, 0.9600) 0.9690 (0.9583, 0.9797) 0.9630 (0.9513, 0.9747)"},{"path":"https://ellessenne.github.io/rsimsum/articles/A-introduction.html","id":"tabulating-summary-statistics","dir":"Articles","previous_headings":"Example 1: Simulation study on missing data","what":"Tabulating summary statistics","title":"Introduction to rsimsum","text":"straightforward produce table summary statistics use R Markdown document: Using tidy() combination R packages xtable, kableExtra, tables can yield variety tables suit purposes. information producing tables directly R can found CRAN Task View Reproducible Research.","code":"library(knitr) #>  #> Attaching package: 'knitr' #> The following object is masked from 'package:rsimsum': #>  #>     kable kable(tidy(ss1))"},{"path":"https://ellessenne.github.io/rsimsum/articles/A-introduction.html","id":"plotting-summary-statistics","dir":"Articles","previous_headings":"Example 1: Simulation study on missing data","what":"Plotting summary statistics","title":"Introduction to rsimsum","text":"section, show plot compare summary statistics using popular R package ggplot. Plotting bias method \\(95\\%\\) confidence intervals based Monte Carlo standard errors:  Conversely, say want visually compare coverage three methods compared simulation study:","code":"library(ggplot2) ggplot(tidy(ss1, stats = \"bias\"), aes(x = method, y = est, ymin = lower, ymax = upper)) +   geom_hline(yintercept = 0, color = \"red\", lty = \"dashed\") +   geom_point() +   geom_errorbar(width = 1 / 3) +   theme_bw() +   labs(x = \"Method\", y = \"Bias\") ggplot(tidy(ss1, stats = \"cover\"), aes(x = method, y = est, ymin = lower, ymax = upper)) +   geom_hline(yintercept = 0.95, color = \"red\", lty = \"dashed\") +   geom_point() +   geom_errorbar(width = 1 / 3) +   coord_cartesian(ylim = c(0, 1)) +   theme_bw() +   labs(x = \"Method\", y = \"Coverage\")"},{"path":"https://ellessenne.github.io/rsimsum/articles/A-introduction.html","id":"dropping-large-estimates-and-standard-errors","dir":"Articles","previous_headings":"Example 1: Simulation study on missing data","what":"Dropping large estimates and standard errors","title":"Introduction to rsimsum","text":"rsimsum allows automatically drop estimates standard errors larger predefined value. Specifically, argument simsum control behaviour dropbig, tuning parameters dropbig.max dropbig.semax can passed via control argument. Set dropbig TRUE standardised estimates larger max absolute value dropped; standard errors larger semax times average standard error dropped . default, robust standardisation used (based median inter-quartile range); however, also possible request regular standardisation (based mean standard deviation) setting control parameter dropbig.robust = FALSE. instance, say want drop standardised estimates larger \\(3\\) absolute value standard errors larger \\(1.5\\) times average standard error: estimates dropped, can see number non-missing point estimates, standard errors: Everything else works analogously ; instance, summarise results:","code":"s1.2 <- simsum(data = MIsim, estvarname = \"b\", true = 0.50, se = \"se\", methodvar = \"method\", ref = \"CC\", dropbig = TRUE, control = list(dropbig.max = 4, dropbig.semax = 1.5)) summary(s1.2, stats = \"nsim\") #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Non-missing point estimates/standard errors: #>   CC MI_LOGT MI_T #>  958     951  944 summary(s1.2) #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Non-missing point estimates/standard errors: #>   CC MI_LOGT MI_T #>  958     951  944 #>  #> Average point estimate: #>      CC MI_LOGT   MI_T #>  0.5142  0.4978 0.4973 #>  #> Median point estimate: #>      CC MI_LOGT   MI_T #>  0.5065  0.4934 0.4939 #>  #> Average variance: #>      CC MI_LOGT   MI_T #>  0.0213  0.0175 0.0173 #>  #> Median variance: #>      CC MI_LOGT   MI_T #>  0.0211  0.0170 0.0167 #>  #> Bias in point estimate: #>               CC          MI_LOGT             MI_T #>  0.0142 (0.0048) -0.0022 (0.0043) -0.0027 (0.0043) #>  #> Relative bias in point estimate: #>           CC      MI_LOGT         MI_T #>  0.0283 (NA) -0.0044 (NA) -0.0055 (NA) #>  #> Empirical standard error: #>               CC         MI_LOGT            MI_T #>  0.1493 (0.0034) 0.1320 (0.0030) 0.1323 (0.0030) #>  #> % gain in precision relative to method CC: #>               CC          MI_LOGT             MI_T #>  0.0000 (0.0000) 27.9890 (3.9442) 27.4611 (4.0317) #>  #> Mean squared error: #>               CC         MI_LOGT            MI_T #>  0.0225 (0.0011) 0.0174 (0.0009) 0.0175 (0.0009) #>  #> Model-based standard error: #>               CC         MI_LOGT            MI_T #>  0.1459 (0.0005) 0.1323 (0.0005) 0.1314 (0.0005) #>  #> Relative % error in standard error: #>                CC         MI_LOGT             MI_T #>  -2.2821 (2.2545) 0.2271 (2.3291) -0.6949 (2.3128) #>  #> Coverage of nominal 95% confidence interval: #>               CC         MI_LOGT            MI_T #>  0.9447 (0.0074) 0.9464 (0.0073) 0.9417 (0.0076) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>               CC         MI_LOGT            MI_T #>  0.9426 (0.0075) 0.9453 (0.0074) 0.9439 (0.0075) #>  #> Power of 5% level test: #>               CC         MI_LOGT            MI_T #>  0.9457 (0.0073) 0.9685 (0.0057) 0.9661 (0.0059)"},{"path":"https://ellessenne.github.io/rsimsum/articles/A-introduction.html","id":"example-2-simulation-study-on-survival-modelling","dir":"Articles","previous_headings":"","what":"Example 2: Simulation study on survival modelling","title":"Introduction to rsimsum","text":"Let’s look first 10 rows dataset: included variables : dataset, simulated dataset number; n, sample size simulate dataset; baseline, baseline hazard function simulated dataset; model, method used (Cox model Royston-Parmar model 2 degrees freedom); theta, point estimate log-hazard ratio; se, standard error point estimate. rsimsum can summarise results simulation studies several data-generating mechanisms. instance, example show compute summary statistics baseline hazard function sample size. order summarise results data-generating factors, sufficient define “” factors call simsum: difference methodvar follows: methodvar represents methods (e.g. two models, example) compared simulation study, represents possible data-generating factors varied simulating data (case, sample size true baseline hazard function). Summarising results printed method combination data-generating factors:","code":"data(\"relhaz\", package = \"rsimsum\") head(relhaz, n = 10) #>    dataset  n    baseline       theta        se model #> 1        1 50 Exponential -0.88006151 0.3330172   Cox #> 2        2 50 Exponential -0.81460242 0.3253010   Cox #> 3        3 50 Exponential -0.14262887 0.3050516   Cox #> 4        4 50 Exponential -0.33251820 0.3144033   Cox #> 5        5 50 Exponential -0.48269940 0.3064726   Cox #> 6        6 50 Exponential -0.03160756 0.3097203   Cox #> 7        7 50 Exponential -0.23578090 0.3121350   Cox #> 8        8 50 Exponential -0.05046332 0.3136058   Cox #> 9        9 50 Exponential -0.22378715 0.3066037   Cox #> 10      10 50 Exponential -0.45326446 0.3330173   Cox str(relhaz) #> 'data.frame':    1200 obs. of  6 variables: #>  $ dataset : int  1 2 3 4 5 6 7 8 9 10 ... #>  $ n       : num  50 50 50 50 50 50 50 50 50 50 ... #>  $ baseline: chr  \"Exponential\" \"Exponential\" \"Exponential\" \"Exponential\" ... #>  $ theta   : num  -0.88 -0.815 -0.143 -0.333 -0.483 ... #>  $ se      : num  0.333 0.325 0.305 0.314 0.306 ... #>  $ model   : chr  \"Cox\" \"Cox\" \"Cox\" \"Cox\" ... s2 <- simsum(data = relhaz, estvarname = \"theta\", true = -0.50, se = \"se\", methodvar = \"model\", by = c(\"baseline\", \"n\")) #> 'ref' method was not specified, Cox set as the reference s2 #> Summary of a simulation study with a single estimand. #> True value of the estimand: -0.5  #>  #> Method variable: model  #>  Unique methods: Cox, Exp, RP(2)  #>  Reference method: Cox  #>  #> By factors: baseline, n  #>  #> Monte Carlo standard errors were computed. ss2 <- summary(s2) ss2 #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Non-missing point estimates/standard errors: #>     baseline   n Cox Exp RP(2) #>  Exponential  50 100 100   100 #>  Exponential 250 100 100   100 #>      Weibull  50 100 100   100 #>      Weibull 250 100 100   100 #>  #> Average point estimate: #>     baseline   n     Cox     Exp   RP(2) #>  Exponential  50 -0.4785 -0.4761 -0.4817 #>  Exponential 250 -0.5215 -0.5214 -0.5227 #>      Weibull  50 -0.5282 -0.3491 -0.5348 #>      Weibull 250 -0.5120 -0.3518 -0.5139 #>  #> Median point estimate: #>     baseline   n     Cox     Exp   RP(2) #>  Exponential  50 -0.4507 -0.4571 -0.4574 #>  Exponential 250 -0.5184 -0.5165 -0.5209 #>      Weibull  50 -0.5518 -0.3615 -0.5425 #>      Weibull 250 -0.5145 -0.3633 -0.5078 #>  #> Average variance: #>     baseline   n    Cox    Exp  RP(2) #>  Exponential  50 0.1014 0.0978 0.1002 #>  Exponential 250 0.0195 0.0191 0.0194 #>      Weibull  50 0.0931 0.0834 0.0898 #>      Weibull 250 0.0174 0.0164 0.0172 #>  #> Median variance: #>     baseline   n    Cox    Exp  RP(2) #>  Exponential  50 0.1000 0.0972 0.0989 #>  Exponential 250 0.0195 0.0190 0.0194 #>      Weibull  50 0.0914 0.0825 0.0875 #>      Weibull 250 0.0174 0.0164 0.0171 #>  #> Bias in point estimate: #>     baseline   n              Cox              Exp            RP(2) #>  Exponential  50  0.0215 (0.0328)  0.0239 (0.0326)  0.0183 (0.0331) #>  Exponential 250 -0.0215 (0.0149) -0.0214 (0.0151) -0.0227 (0.0149) #>      Weibull  50 -0.0282 (0.0311)  0.1509 (0.0204) -0.0348 (0.0311) #>      Weibull 250 -0.0120 (0.0133)  0.1482 (0.0093) -0.0139 (0.0137) #>  #> Relative bias in point estimate: #>     baseline   n              Cox              Exp            RP(2) #>  Exponential  50 -0.0430 (0.0657) -0.0478 (0.0652) -0.0366 (0.0662) #>  Exponential 250  0.0430 (0.0298)  0.0427 (0.0301)  0.0455 (0.0298) #>      Weibull  50  0.0564 (0.0623) -0.3018 (0.0408)  0.0695 (0.0622) #>      Weibull 250  0.0241 (0.0267) -0.2963 (0.0186)  0.0279 (0.0274) #>  #> Empirical standard error: #>     baseline   n             Cox             Exp           RP(2) #>  Exponential  50 0.3285 (0.0233) 0.3258 (0.0232) 0.3312 (0.0235) #>  Exponential 250 0.1488 (0.0106) 0.1506 (0.0107) 0.1489 (0.0106) #>      Weibull  50 0.3115 (0.0221) 0.2041 (0.0145) 0.3111 (0.0221) #>      Weibull 250 0.1333 (0.0095) 0.0929 (0.0066) 0.1368 (0.0097) #>  #> % gain in precision relative to method Cox: #>     baseline   n              Cox                Exp            RP(2) #>  Exponential  50 -0.0000 (0.0000)    1.6773 (3.2902) -1.6228 (1.7887) #>  Exponential 250  0.0000 (0.0000)   -2.3839 (3.0501) -0.1491 (0.9916) #>      Weibull  50 -0.0000 (0.0000) 132.7958 (16.4433)  0.2412 (3.7361) #>      Weibull 250 -0.0000 (0.0000) 105.8426 (12.4932) -4.9519 (2.0647) #>  #> Mean squared error: #>     baseline   n             Cox             Exp           RP(2) #>  Exponential  50 0.1073 (0.0149) 0.1056 (0.0146) 0.1089 (0.0154) #>  Exponential 250 0.0224 (0.0028) 0.0229 (0.0028) 0.0225 (0.0028) #>      Weibull  50 0.0968 (0.0117) 0.0640 (0.0083) 0.0970 (0.0117) #>      Weibull 250 0.0177 (0.0027) 0.0305 (0.0033) 0.0187 (0.0028) #>  #> Model-based standard error: #>     baseline   n             Cox             Exp           RP(2) #>  Exponential  50 0.3185 (0.0013) 0.3127 (0.0010) 0.3165 (0.0012) #>  Exponential 250 0.1396 (0.0002) 0.1381 (0.0002) 0.1394 (0.0002) #>      Weibull  50 0.3052 (0.0014) 0.2888 (0.0005) 0.2996 (0.0012) #>      Weibull 250 0.1320 (0.0002) 0.1281 (0.0001) 0.1313 (0.0002) #>  #> Relative % error in standard error: #>     baseline   n              Cox               Exp            RP(2) #>  Exponential  50 -3.0493 (6.9011)  -4.0156 (6.8286) -4.4305 (6.8013) #>  Exponential 250 -6.2002 (6.6679)  -8.3339 (6.5160) -6.4133 (6.6528) #>      Weibull  50 -2.0115 (6.9776) 41.4993 (10.0594) -3.6873 (6.8549) #>      Weibull 250 -0.9728 (7.0397)  37.7762 (9.7917) -4.0191 (6.8228) #>  #> Coverage of nominal 95% confidence interval: #>     baseline   n             Cox             Exp           RP(2) #>  Exponential  50 0.9500 (0.0218) 0.9400 (0.0237) 0.9500 (0.0218) #>  Exponential 250 0.9300 (0.0255) 0.9200 (0.0271) 0.9300 (0.0255) #>      Weibull  50 0.9700 (0.0171) 0.9900 (0.0099) 0.9500 (0.0218) #>      Weibull 250 0.9400 (0.0237) 0.8500 (0.0357) 0.9400 (0.0237) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>     baseline   n             Cox             Exp           RP(2) #>  Exponential  50 0.9500 (0.0218) 0.9500 (0.0218) 0.9500 (0.0218) #>  Exponential 250 0.9400 (0.0237) 0.9400 (0.0237) 0.9400 (0.0237) #>      Weibull  50 0.9500 (0.0218) 1.0000 (0.0000) 0.9500 (0.0218) #>      Weibull 250 0.9500 (0.0218) 0.9900 (0.0099) 0.9400 (0.0237) #>  #> Power of 5% level test: #>     baseline   n             Cox             Exp           RP(2) #>  Exponential  50 0.3600 (0.0480) 0.3800 (0.0485) 0.3700 (0.0483) #>  Exponential 250 0.9800 (0.0140) 0.9900 (0.0099) 0.9900 (0.0099) #>      Weibull  50 0.4300 (0.0495) 0.0900 (0.0286) 0.4700 (0.0499) #>      Weibull 250 0.9700 (0.0171) 0.8600 (0.0347) 0.9700 (0.0171)"},{"path":"https://ellessenne.github.io/rsimsum/articles/A-introduction.html","id":"plotting-summary-statistics-1","dir":"Articles","previous_headings":"Example 2: Simulation study on survival modelling","what":"Plotting summary statistics","title":"Introduction to rsimsum","text":"Tables get cumbersome many different data-generating mechanisms. Plots generally easier interpret, can generated easily . Say want compare bias method baseline hazard function sample size using faceting:","code":"ggplot(tidy(ss2, stats = \"bias\"), aes(x = model, y = est, ymin = lower, ymax = upper)) +   geom_hline(yintercept = 0, color = \"red\", lty = \"dashed\") +   geom_point() +   geom_errorbar(width = 1 / 3) +   facet_grid(baseline ~ n) +   theme_bw() +   labs(x = \"Method\", y = \"Bias\")"},{"path":"https://ellessenne.github.io/rsimsum/articles/A-introduction.html","id":"references","dir":"Articles","previous_headings":"","what":"References","title":"Introduction to rsimsum","text":"White, .R. 2010. simsum: Analyses simulation studies including Monte Carlo error. Stata Journal 10(3): 369-385 Morris, T.P., White, .R. Crowther, M.J. 2019. Using simulation studies evaluate statistical methods. Statistics Medicine 38:2074-2102 White, .R., P. Royston. 2009. Imputing missing covariate values Cox model. Statistics Medicine 28(15):1982-1998 Little, R.J.., D.B. Rubin. 2002. Statistical analysis missing data. 2nd ed. Hoboken, NJ: Wiley van Buuren, S., H.C. Boshuizen, D.L. Knook. 1999. Multiple imputation missing blood pressure covariates survival analysis. Statistics Medicine 18(6):681-694","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Simulating a simulation study","text":"vignette, show simulated data included example dataset simsum generated.","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"motivation","dir":"Articles","previous_headings":"","what":"Motivation","title":"Simulating a simulation study","text":"Say want run simulation study want compare sensitivity parametric semiparametric survival models relative risk estimates.","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"data-generating-mechanisms","dir":"Articles","previous_headings":"","what":"Data generating mechanisms","title":"Simulating a simulation study","text":"simulate hypothetical trial binary treatment. fix log-treatment effect \\(-0.50\\), generate treatment indicator variable simulated individual via \\(Binom(1, 0.5)\\) random variable. simulate two different sample sizes (50 250 individuals) assume two different baseline hazard functions: exponential scale parameter \\(\\lambda = 0.5\\), Weibull scale parameter \\(\\lambda = 0.5\\) shape parameter \\(\\gamma = 1.5\\). Finally, apply administrative censoring time \\(t = 5\\).  survival times estimated using approach Bender et al. (2005), based drawing \\(U(0, 1)\\) random variable applying following transformations: exponential baseline hazard, survival time \\(t\\) simulated : \\[t = -\\frac{log(U)}{\\lambda \\exp(\\beta ^ T X)}\\] Weibull baseline hazard, survival time \\(t\\) simulated : \\[t = \\left(-\\frac{log(U)}{\\lambda \\exp(\\beta ^ T X)}\\right) ^ {1 / \\gamma}\\] R function simulate dataset simulation study defined follows:","code":"exp_basehaz <- function(t, lambda = 0.5) lambda * 1 * t^0 exp_weibull <- function(t, lambda = 0.5, gamma = 1.5) lambda * gamma * t^(gamma - 1) curve(exp_basehaz, from = 0, to = 5, lty = 1, ylim = c(0, 2), ylab = expression(h[0](t)), xlab = \"Follow-up time t\") curve(exp_weibull, from = 0, to = 5, lty = 2, add = TRUE) legend(x = \"topleft\", lty = 1:2, legend = c(\"Exponential baseline hazard\", \"Weibull baseline hazard\"), bty = \"n\") simulate_data <- function(dataset, n, baseline, params = list(), coveff = -0.50) {   # Simulate treatment indicator variable   x <- rbinom(n = n, size = 1, prob = 0.5)   # Draw from a U(0,1) random variable   u <- runif(n)   # Simulate survival times depending on the baseline hazard   if (baseline == \"Exponential\") {     t <- -log(u) / (params$lambda * exp(x * coveff))   } else {     t <- (-log(u) / (params$lambda * exp(x * coveff)))^(1 / params$gamma)   }   # Winsorising tiny values for t (smaller than one day on a yearly-scale, e.g. 1 / 365.242), and adding a tiny amount of white noise not to have too many concurrent values   t <- ifelse(t < 1 / 365.242, 1 / 365.242, t)   t[t == 1 / 365.242] <- t[t == 1 / 365.242] + rnorm(length(t[t == 1 / 365.242]), mean = 0, sd = 1e-4)   # ...and make sure that the resulting value is positive   t <- abs(t)    # Make event indicator variable applying administrative censoring at t = 5   d <- as.numeric(t < 5)   t <- pmin(t, 5)   # Return a data.frame   data.frame(dataset = dataset, x = x, t = t, d = d, n = n, baseline = baseline, stringsAsFactors = FALSE) }"},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"methods","dir":"Articles","previous_headings":"","what":"Methods","title":"Simulating a simulation study","text":"compare Cox model (Cox, 1972) fully parametric survival model assuming exponential baseline hazard flexible parametric model 2 degrees freedom modelling baseline hazard (Royston Parmar, 2002). Cox model can fit via coxph function survival package, exponential model can fit via phreg function eha package, Royston-Parmar model can fixed via stpm2 function rstpm2 package.","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"performance-measures","dir":"Articles","previous_headings":"","what":"Performance measures","title":"Simulating a simulation study","text":"Say interested following performance measures: Bias estimated log-treatment effect, corresponding \\(95\\%\\) Monte Carlo confidence intervals Coverage confidence intervals log-treatment effect, defined proportion simulated data sets true log-treatment effect \\(-0.50\\) lies within \\(95\\%\\) confidence intervals obtained model","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"sample-size","dir":"Articles","previous_headings":"","what":"Sample size","title":"Simulating a simulation study","text":"primarily interested bias, assume variance estimated log-treatment effect \\(0.1\\). Monte Carlo standard error bias : \\[\\text{MCSE} = \\sqrt{\\frac{\\text{variance}}{\\# \\text{simulations}}}\\] Aiming Monte Carlo standard error 0.01 estimated bias, require \\(1,000\\) replications. Monte Carlo standard error coverage : \\[\\text{MCSE} = \\sqrt{\\frac{\\text{coverage} \\times (1 - \\text{coverage})}{\\# \\text{simulations}}}\\] Monte Carlo standard error maximised coverage = \\(0.5\\). setting, Monte Carlo standard error \\(1,000\\) replications \\(0.01581139\\), deemed acceptable. Therefore, run \\(1,000\\) replications simulation study. However, simplicity, run \\(100\\) replications speed process.","code":""},{"path":[]},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"generate-data","dir":"Articles","previous_headings":"Running the simulation study","what":"Generate data","title":"Simulating a simulation study","text":"generate \\(100\\) datasets data-generating mechanism. First, set random seed reproducibility: , simulate data:","code":"set.seed(755353002) reps <- 1:100 data <- list() data[[\"n = 50, baseline = Exp\"]] <- lapply(   X = reps,   FUN = simulate_data,   n = 50,   baseline = \"Exponential\",   params = list(lambda = 0.5) ) data[[\"n = 250, baseline = Exp\"]] <- lapply(   X = reps,   FUN = simulate_data,   n = 250,   baseline = \"Exponential\",   params = list(lambda = 0.5) ) data[[\"n = 50, baseline = Wei\"]] <- lapply(   X = reps,   FUN = simulate_data,   n = 50,   baseline = \"Weibull\",   params = list(lambda = 0.5, gamma = 1.5) ) data[[\"n = 250, baseline = Wei\"]] <- lapply(   X = reps,   FUN = simulate_data,   n = 250,   baseline = \"Weibull\",   params = list(lambda = 0.5, gamma = 1.5) )"},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"run-models","dir":"Articles","previous_headings":"Running the simulation study","what":"Run models","title":"Simulating a simulation study","text":"define function fit models interest: now run models simulated dataset:","code":"library(survival) library(rstpm2) #> Loading required package: splines #>  #> Attaching package: 'rstpm2' #> The following object is masked from 'package:survival': #>  #>     colon library(eha)  fit_models <- function(data, model) {   # Fit model   if (model == \"Cox\") {     fit <- survival::coxph(Surv(t, d) ~ x, data = data)   } else if (model == \"RP(2)\") {     fit <- rstpm2::stpm2(Surv(t, d) ~ x, data = data, df = 2)   } else {     fit <- eha::phreg(Surv(t, d) ~ x, data = data, dist = \"weibull\", shape = 1)   }   # Return relevant coefficients   data.frame(     dataset = unique(data$dataset),     n = unique(data$n),     baseline = unique(data$baseline),     theta = coef(fit)[\"x\"],     se = sqrt(ifelse(model == \"Exp\", fit$var[\"x\", \"x\"], vcov(fit)[\"x\", \"x\"])),     model = model,     stringsAsFactors = FALSE,     row.names = NULL   ) } results <- list() results[[\"n = 50, baseline = Exp, model = Cox\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 50, baseline = Exp\"]],     FUN = fit_models,     model = \"Cox\"   ) ) results[[\"n = 250, baseline = Exp, model = Cox\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 250, baseline = Exp\"]],     FUN = fit_models,     model = \"Cox\"   ) ) results[[\"n = 50, baseline = Wei, model = Cox\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 50, baseline = Wei\"]],     FUN = fit_models,     model = \"Cox\"   ) ) results[[\"n = 250, baseline = Wei, model = Cox\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 250, baseline = Wei\"]],     FUN = fit_models,     model = \"Cox\"   ) )  results[[\"n = 50, baseline = Exp, model = Exp\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 50, baseline = Exp\"]],     FUN = fit_models,     model = \"Exp\"   ) ) results[[\"n = 250, baseline = Exp, model = Exp\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 250, baseline = Exp\"]],     FUN = fit_models,     model = \"Exp\"   ) ) results[[\"n = 50, baseline = Wei, model = Exp\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 50, baseline = Wei\"]],     FUN = fit_models,     model = \"Exp\"   ) ) results[[\"n = 250, baseline = Wei, model = Exp\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 250, baseline = Wei\"]],     FUN = fit_models,     model = \"Exp\"   ) )  results[[\"n = 50, baseline = Exp, model = RP(2)\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 50, baseline = Exp\"]],     FUN = fit_models,     model = \"RP(2)\"   ) ) results[[\"n = 250, baseline = Exp, model = RP(2)\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 250, baseline = Exp\"]],     FUN = fit_models,     model = \"RP(2)\"   ) ) results[[\"n = 50, baseline = Wei, model = RP(2)\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 50, baseline = Wei\"]],     FUN = fit_models,     model = \"RP(2)\"   ) ) results[[\"n = 250, baseline = Wei, model = RP(2)\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 250, baseline = Wei\"]],     FUN = fit_models,     model = \"RP(2)\"   ) )"},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"aggregating-results","dir":"Articles","previous_headings":"Running the simulation study","what":"Aggregating results","title":"Simulating a simulation study","text":"save final results, included example R package rsimsum.","code":"relhaz <- do.call(   rbind.data.frame,   results ) row.names(relhaz) <- NULL library(usethis) usethis::use_data(relhaz, overwrite = TRUE)"},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"summarising-results","dir":"Articles","previous_headings":"Running the simulation study","what":"Summarising results","title":"Simulating a simulation study","text":"Finally, obtain summary statistics calling simsum function:","code":"library(rsimsum) #>  #> Attaching package: 'rsimsum' #> The following object is masked _by_ '.GlobalEnv': #>  #>     relhaz s <- rsimsum::simsum(data = relhaz, estvarname = \"theta\", se = \"se\", true = -0.50, methodvar = \"model\", ref = \"Cox\", by = c(\"n\", \"baseline\")) s #> Summary of a simulation study with a single estimand. #> True value of the estimand: -0.5  #>  #> Method variable: model  #>  Unique methods: Cox, Exp, RP(2)  #>  Reference method: Cox  #>  #> By factors: n, baseline  #>  #> Monte Carlo standard errors were computed. summary(s) #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Non-missing point estimates/standard errors: #>    n    baseline Cox Exp RP(2) #>   50 Exponential 100 100   100 #>   50     Weibull 100 100   100 #>  250 Exponential 100 100   100 #>  250     Weibull 100 100   100 #>  #> Average point estimate: #>    n    baseline     Cox     Exp   RP(2) #>   50 Exponential -0.4785 -0.4761 -0.4817 #>   50     Weibull -0.5282 -0.3491 -0.5345 #>  250 Exponential -0.5215 -0.5214 -0.5227 #>  250     Weibull -0.5120 -0.3518 -0.5139 #>  #> Median point estimate: #>    n    baseline     Cox     Exp   RP(2) #>   50 Exponential -0.4507 -0.4571 -0.4574 #>   50     Weibull -0.5518 -0.3615 -0.5425 #>  250 Exponential -0.5184 -0.5165 -0.5209 #>  250     Weibull -0.5145 -0.3633 -0.5078 #>  #> Average variance: #>    n    baseline    Cox    Exp  RP(2) #>   50 Exponential 0.1014 0.0978 0.1002 #>   50     Weibull 0.0931 0.0834 0.0898 #>  250 Exponential 0.0195 0.0191 0.0194 #>  250     Weibull 0.0174 0.0164 0.0172 #>  #> Median variance: #>    n    baseline    Cox    Exp  RP(2) #>   50 Exponential 0.1000 0.0972 0.0989 #>   50     Weibull 0.0914 0.0825 0.0875 #>  250 Exponential 0.0195 0.0190 0.0194 #>  250     Weibull 0.0174 0.0164 0.0171 #>  #> Bias in point estimate: #>    n    baseline              Cox              Exp            RP(2) #>   50 Exponential  0.0215 (0.0328)  0.0239 (0.0326)  0.0183 (0.0331) #>   50     Weibull -0.0282 (0.0311)  0.1509 (0.0204) -0.0345 (0.0311) #>  250 Exponential -0.0215 (0.0149) -0.0214 (0.0151) -0.0227 (0.0149) #>  250     Weibull -0.0120 (0.0133)  0.1482 (0.0093) -0.0139 (0.0137) #>  #> Relative bias in point estimate: #>    n    baseline              Cox              Exp            RP(2) #>   50 Exponential -0.0430 (0.0657) -0.0478 (0.0652) -0.0366 (0.0662) #>   50     Weibull  0.0564 (0.0623) -0.3018 (0.0408)  0.0690 (0.0622) #>  250 Exponential  0.0430 (0.0298)  0.0427 (0.0301)  0.0455 (0.0298) #>  250     Weibull  0.0241 (0.0267) -0.2963 (0.0186)  0.0279 (0.0274) #>  #> Empirical standard error: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.3285 (0.0233) 0.3258 (0.0232) 0.3312 (0.0235) #>   50     Weibull 0.3115 (0.0221) 0.2041 (0.0145) 0.3109 (0.0221) #>  250 Exponential 0.1488 (0.0106) 0.1506 (0.0107) 0.1489 (0.0106) #>  250     Weibull 0.1333 (0.0095) 0.0929 (0.0066) 0.1368 (0.0097) #>  #> % gain in precision relative to method Cox: #>    n    baseline             Cox                Exp            RP(2) #>   50 Exponential 0.0000 (0.0000)    1.6773 (3.2902) -1.6262 (1.7888) #>   50     Weibull 0.0000 (0.0000) 132.7958 (16.4433)  0.3583 (3.7387) #>  250 Exponential 0.0000 (0.0000)   -2.3839 (3.0501) -0.1491 (0.9917) #>  250     Weibull 0.0000 (0.0000) 105.8426 (12.4932) -4.9534 (2.0649) #>  #> Mean squared error: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.1073 (0.0149) 0.1056 (0.0146) 0.1089 (0.0154) #>   50     Weibull 0.0968 (0.0117) 0.0640 (0.0083) 0.0969 (0.0117) #>  250 Exponential 0.0224 (0.0028) 0.0229 (0.0028) 0.0225 (0.0028) #>  250     Weibull 0.0177 (0.0027) 0.0305 (0.0033) 0.0187 (0.0028) #>  #> Model-based standard error: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.3185 (0.0013) 0.3127 (0.0010) 0.3165 (0.0012) #>   50     Weibull 0.3052 (0.0014) 0.2888 (0.0005) 0.2996 (0.0012) #>  250 Exponential 0.1396 (0.0002) 0.1381 (0.0002) 0.1394 (0.0002) #>  250     Weibull 0.1320 (0.0002) 0.1281 (0.0001) 0.1313 (0.0002) #>  #> Relative % error in standard error: #>    n    baseline              Cox               Exp            RP(2) #>   50 Exponential -3.0493 (6.9011)  -4.0156 (6.8286) -4.4322 (6.8012) #>   50     Weibull -2.0115 (6.9776) 41.4993 (10.0594) -3.6354 (6.8586) #>  250 Exponential -6.2002 (6.6679)  -8.3339 (6.5160) -6.4133 (6.6528) #>  250     Weibull -0.9728 (7.0397)  37.7762 (9.7917) -4.0199 (6.8228) #>  #> Coverage of nominal 95% confidence interval: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.9500 (0.0218) 0.9400 (0.0237) 0.9500 (0.0218) #>   50     Weibull 0.9700 (0.0171) 0.9900 (0.0099) 0.9500 (0.0218) #>  250 Exponential 0.9300 (0.0255) 0.9200 (0.0271) 0.9300 (0.0255) #>  250     Weibull 0.9400 (0.0237) 0.8500 (0.0357) 0.9400 (0.0237) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.9500 (0.0218) 0.9500 (0.0218) 0.9500 (0.0218) #>   50     Weibull 0.9500 (0.0218) 1.0000 (0.0000) 0.9500 (0.0218) #>  250 Exponential 0.9400 (0.0237) 0.9400 (0.0237) 0.9400 (0.0237) #>  250     Weibull 0.9500 (0.0218) 0.9900 (0.0099) 0.9400 (0.0237) #>  #> Power of 5% level test: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.3600 (0.0480) 0.3800 (0.0485) 0.3700 (0.0483) #>   50     Weibull 0.4300 (0.0495) 0.0900 (0.0286) 0.4700 (0.0499) #>  250 Exponential 0.9800 (0.0140) 0.9900 (0.0099) 0.9900 (0.0099) #>  250     Weibull 0.9700 (0.0171) 0.8600 (0.0347) 0.9700 (0.0171)"},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"conclusions","dir":"Articles","previous_headings":"","what":"Conclusions","title":"Simulating a simulation study","text":"vignette showed simulate survival data run small, simple simulation study.","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"references","dir":"Articles","previous_headings":"","what":"References","title":"Simulating a simulation study","text":"Cox D.R. Regression models life-tables. Journal Royal Statistical Society, Series B (Methodological), 1972, 34(2):187-220 Royston P. Parmar M.K. Flexible parametric proportional-hazards proportional-odds models censored survival data, application prognostic modelling estimation treatment effects. Statistics Medicine, 2002, 21(15):2175-2197 Bender R., Augustin T., Blettner M. Generating survival times simulate Cox proportional hazards models. Statistics Medicine, 2005, 24(11):1713-1723","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/C-plotting.html","id":"data","dir":"Articles","previous_headings":"","what":"Data","title":"Visualising results from rsimsum","text":"use data simulation study misspecification baseline hazard survival models. dataset included rsimsum can loaded : Inspecting structure dataset first 15 rows data:","code":"data(\"relhaz\", package = \"rsimsum\") str(relhaz) #> 'data.frame':    1200 obs. of  6 variables: #>  $ dataset : int  1 2 3 4 5 6 7 8 9 10 ... #>  $ n       : num  50 50 50 50 50 50 50 50 50 50 ... #>  $ baseline: chr  \"Exponential\" \"Exponential\" \"Exponential\" \"Exponential\" ... #>  $ theta   : num  -0.88 -0.815 -0.143 -0.333 -0.483 ... #>  $ se      : num  0.333 0.325 0.305 0.314 0.306 ... #>  $ model   : chr  \"Cox\" \"Cox\" \"Cox\" \"Cox\" ... head(relhaz, n = 15) #>    dataset  n    baseline       theta        se model #> 1        1 50 Exponential -0.88006151 0.3330172   Cox #> 2        2 50 Exponential -0.81460242 0.3253010   Cox #> 3        3 50 Exponential -0.14262887 0.3050516   Cox #> 4        4 50 Exponential -0.33251820 0.3144033   Cox #> 5        5 50 Exponential -0.48269940 0.3064726   Cox #> 6        6 50 Exponential -0.03160756 0.3097203   Cox #> 7        7 50 Exponential -0.23578090 0.3121350   Cox #> 8        8 50 Exponential -0.05046332 0.3136058   Cox #> 9        9 50 Exponential -0.22378715 0.3066037   Cox #> 10      10 50 Exponential -0.45326446 0.3330173   Cox #> 11      11 50 Exponential -0.71402510 0.3251902   Cox #> 12      12 50 Exponential -0.32956944 0.3073481   Cox #> 13      13 50 Exponential -0.15351788 0.3056453   Cox #> 14      14 50 Exponential -0.82742207 0.3283561   Cox #> 15      15 50 Exponential -0.14594648 0.3255636   Cox"},{"path":"https://ellessenne.github.io/rsimsum/articles/C-plotting.html","id":"summarise-results","dir":"Articles","previous_headings":"","what":"Summarise results","title":"Visualising results from rsimsum","text":"use simsum function summarise results: call simsum x = TRUE required types plots (e.g. zip plots, scatter plots, etc.). rsimsum implements autoplot method objects classes: simsum, summary.simsum, multisimsum, summary.multisimsum. See ?ggplot2::autoplot() details S3 generic function.","code":"s1 <- simsum(   data = relhaz, estvarname = \"theta\", se = \"se\", true = -0.50,   methodvar = \"model\", by = c(\"n\", \"baseline\"), x = TRUE ) #> 'ref' method was not specified, Cox set as the reference s1 #> Summary of a simulation study with a single estimand. #> True value of the estimand: -0.5  #>  #> Method variable: model  #>  Unique methods: Cox, Exp, RP(2)  #>  Reference method: Cox  #>  #> By factors: n, baseline  #>  #> Monte Carlo standard errors were computed. summary(s1) #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Non-missing point estimates/standard errors: #>    n    baseline Cox Exp RP(2) #>   50 Exponential 100 100   100 #>   50     Weibull 100 100   100 #>  250 Exponential 100 100   100 #>  250     Weibull 100 100   100 #>  #> Average point estimate: #>    n    baseline     Cox     Exp   RP(2) #>   50 Exponential -0.4785 -0.4761 -0.4817 #>   50     Weibull -0.5282 -0.3491 -0.5348 #>  250 Exponential -0.5215 -0.5214 -0.5227 #>  250     Weibull -0.5120 -0.3518 -0.5139 #>  #> Median point estimate: #>    n    baseline     Cox     Exp   RP(2) #>   50 Exponential -0.4507 -0.4571 -0.4574 #>   50     Weibull -0.5518 -0.3615 -0.5425 #>  250 Exponential -0.5184 -0.5165 -0.5209 #>  250     Weibull -0.5145 -0.3633 -0.5078 #>  #> Average variance: #>    n    baseline    Cox    Exp  RP(2) #>   50 Exponential 0.1014 0.0978 0.1002 #>   50     Weibull 0.0931 0.0834 0.0898 #>  250 Exponential 0.0195 0.0191 0.0194 #>  250     Weibull 0.0174 0.0164 0.0172 #>  #> Median variance: #>    n    baseline    Cox    Exp  RP(2) #>   50 Exponential 0.1000 0.0972 0.0989 #>   50     Weibull 0.0914 0.0825 0.0875 #>  250 Exponential 0.0195 0.0190 0.0194 #>  250     Weibull 0.0174 0.0164 0.0171 #>  #> Bias in point estimate: #>    n    baseline              Cox              Exp            RP(2) #>   50 Exponential  0.0215 (0.0328)  0.0239 (0.0326)  0.0183 (0.0331) #>   50     Weibull -0.0282 (0.0311)  0.1509 (0.0204) -0.0348 (0.0311) #>  250 Exponential -0.0215 (0.0149) -0.0214 (0.0151) -0.0227 (0.0149) #>  250     Weibull -0.0120 (0.0133)  0.1482 (0.0093) -0.0139 (0.0137) #>  #> Relative bias in point estimate: #>    n    baseline              Cox              Exp            RP(2) #>   50 Exponential -0.0430 (0.0657) -0.0478 (0.0652) -0.0366 (0.0662) #>   50     Weibull  0.0564 (0.0623) -0.3018 (0.0408)  0.0695 (0.0622) #>  250 Exponential  0.0430 (0.0298)  0.0427 (0.0301)  0.0455 (0.0298) #>  250     Weibull  0.0241 (0.0267) -0.2963 (0.0186)  0.0279 (0.0274) #>  #> Empirical standard error: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.3285 (0.0233) 0.3258 (0.0232) 0.3312 (0.0235) #>   50     Weibull 0.3115 (0.0221) 0.2041 (0.0145) 0.3111 (0.0221) #>  250 Exponential 0.1488 (0.0106) 0.1506 (0.0107) 0.1489 (0.0106) #>  250     Weibull 0.1333 (0.0095) 0.0929 (0.0066) 0.1368 (0.0097) #>  #> % gain in precision relative to method Cox: #>    n    baseline              Cox                Exp            RP(2) #>   50 Exponential -0.0000 (0.0000)    1.6773 (3.2902) -1.6228 (1.7887) #>   50     Weibull -0.0000 (0.0000) 132.7958 (16.4433)  0.2412 (3.7361) #>  250 Exponential  0.0000 (0.0000)   -2.3839 (3.0501) -0.1491 (0.9916) #>  250     Weibull -0.0000 (0.0000) 105.8426 (12.4932) -4.9519 (2.0647) #>  #> Mean squared error: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.1073 (0.0149) 0.1056 (0.0146) 0.1089 (0.0154) #>   50     Weibull 0.0968 (0.0117) 0.0640 (0.0083) 0.0970 (0.0117) #>  250 Exponential 0.0224 (0.0028) 0.0229 (0.0028) 0.0225 (0.0028) #>  250     Weibull 0.0177 (0.0027) 0.0305 (0.0033) 0.0187 (0.0028) #>  #> Model-based standard error: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.3185 (0.0013) 0.3127 (0.0010) 0.3165 (0.0012) #>   50     Weibull 0.3052 (0.0014) 0.2888 (0.0005) 0.2996 (0.0012) #>  250 Exponential 0.1396 (0.0002) 0.1381 (0.0002) 0.1394 (0.0002) #>  250     Weibull 0.1320 (0.0002) 0.1281 (0.0001) 0.1313 (0.0002) #>  #> Relative % error in standard error: #>    n    baseline              Cox               Exp            RP(2) #>   50 Exponential -3.0493 (6.9011)  -4.0156 (6.8286) -4.4305 (6.8013) #>   50     Weibull -2.0115 (6.9776) 41.4993 (10.0594) -3.6873 (6.8549) #>  250 Exponential -6.2002 (6.6679)  -8.3339 (6.5160) -6.4133 (6.6528) #>  250     Weibull -0.9728 (7.0397)  37.7762 (9.7917) -4.0191 (6.8228) #>  #> Coverage of nominal 95% confidence interval: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.9500 (0.0218) 0.9400 (0.0237) 0.9500 (0.0218) #>   50     Weibull 0.9700 (0.0171) 0.9900 (0.0099) 0.9500 (0.0218) #>  250 Exponential 0.9300 (0.0255) 0.9200 (0.0271) 0.9300 (0.0255) #>  250     Weibull 0.9400 (0.0237) 0.8500 (0.0357) 0.9400 (0.0237) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.9500 (0.0218) 0.9500 (0.0218) 0.9500 (0.0218) #>   50     Weibull 0.9500 (0.0218) 1.0000 (0.0000) 0.9500 (0.0218) #>  250 Exponential 0.9400 (0.0237) 0.9400 (0.0237) 0.9400 (0.0237) #>  250     Weibull 0.9500 (0.0218) 0.9900 (0.0099) 0.9400 (0.0237) #>  #> Power of 5% level test: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.3600 (0.0480) 0.3800 (0.0485) 0.3700 (0.0483) #>   50     Weibull 0.4300 (0.0495) 0.0900 (0.0286) 0.4700 (0.0499) #>  250 Exponential 0.9800 (0.0140) 0.9900 (0.0099) 0.9900 (0.0099) #>  250     Weibull 0.9700 (0.0171) 0.8600 (0.0347) 0.9700 (0.0171)"},{"path":"https://ellessenne.github.io/rsimsum/articles/C-plotting.html","id":"scatter-plots","dir":"Articles","previous_headings":"","what":"Scatter plots","title":"Visualising results from rsimsum","text":"Scatter plots allow assess serial trends estimates standard errors. instance, want compare point estimates different methods (across data-generating mechanisms):  Analogously, want compare standard errors:  two plot types allow comparing estimates (standard errors) obtained different methods ease; ideal settings, points scatterplots lay diagonal (dashed line). estimated regression line (X vs Y, blue line) superimposed default ease comparison even . addition plots comparing estimates standard errors, Bland-Altman-type plots supported well:  Bland-Altman plots compare difference estimates two competing methods (y-axis) mean estimates two methods (x-axis). ideal scenario, trend points scatter plot lay around horizontal dashed line. ease comparison, regression line included well. Bland-Altman plots standard errors obtained setting argument type = \"se_ba\".","code":"autoplot(s1, type = \"est\") #> `geom_smooth()` using formula = 'y ~ x' autoplot(s1, type = \"se\") #> `geom_smooth()` using formula = 'y ~ x' autoplot(s1, type = \"est_ba\") #> `geom_smooth()` using formula = 'y ~ x'"},{"path":"https://ellessenne.github.io/rsimsum/articles/C-plotting.html","id":"ridgeline-plots","dir":"Articles","previous_headings":"Scatter plots","what":"Ridgeline plots","title":"Visualising results from rsimsum","text":"Another way visually comparing estimates different methods given ridgeline plots. According documentation ggridges package (source), Ridgeline plots partially overlapping line plots create impression mountain range. can quite useful visualizing changes distributions time space. settings simulation studies, aim visualise changes distribution data-generating mechanisms. instance, say want compare estimates across data-generating mechanisms methods:  allows us see estimates Exp method different methods two four data-generating mechanisms: 50, Weibull 250, Weibull. obtain similar plot standard errors, call autoplot method type = \"se_ridge instead.","code":"autoplot(s1, type = \"est_ridge\") #> Picking joint bandwidth of 0.077"},{"path":"https://ellessenne.github.io/rsimsum/articles/C-plotting.html","id":"lolly-plots","dir":"Articles","previous_headings":"","what":"Lolly plots","title":"Visualising results from rsimsum","text":"Lolly plots used present estimates given summary statistic confidence intervals based Monte Carlo standard errors (calling autoplot method summary objects). allow easily compare methods. Say interested bias:  straightforward identify exponential model yielding biased results true baseline hazard Weibull, irrespectively sample size. relative scale, can plot relative bias well:  confidence intervals based Monte Carlo errors required, sufficient call autoplot method simsum object:  Analogously, coverage:","code":"autoplot(summary(s1), type = \"lolly\", stats = \"bias\") autoplot(summary(s1), type = \"lolly\", stats = \"rbias\") autoplot(s1, type = \"lolly\", stats = \"bias\") autoplot(summary(s1), type = \"lolly\", stats = \"cover\")"},{"path":"https://ellessenne.github.io/rsimsum/articles/C-plotting.html","id":"forest-plots","dir":"Articles","previous_headings":"","what":"Forest plots","title":"Visualising results from rsimsum","text":"Forest plots alternative lolly plots, similar interpretation:","code":"autoplot(s1, type = \"forest\", stats = \"bias\") autoplot(summary(s1), type = \"forest\", stats = \"bias\")"},{"path":"https://ellessenne.github.io/rsimsum/articles/C-plotting.html","id":"zipper-plots","dir":"Articles","previous_headings":"","what":"Zipper plots","title":"Visualising results from rsimsum","text":"Zipper plots (zip plots), introduced Morris et al. (2019), help understand coverage visualising confidence intervals directly. data-generating mechanism method, confidence intervals centile-ranked according significance null hypothesis \\(H_0: \\theta\\) = \\(\\theta_{\\text{true}}\\), assessed via Wald-type test. ranking used vertical axis plotted intervals . method 95% coverage, colour intervals switches 95 vertical axis. Finally, horizontal lines represent confidence intervals estimated coverage based Monte Carlo standard errors.  zipper plot exponential model n = 50 true Weibull baseline hazard shows coverage approximately 95%; however, intervals right \\(\\theta\\) = -0.50 left: indicates model standard errors must overestimating empirical standard error, coverage appropriate despite bias. also possible zoom top x% zip plot increase readability, e.g. top 30%:","code":"autoplot(s1, type = \"zip\") autoplot(s1, type = \"zip\", zoom = 0.3)"},{"path":"https://ellessenne.github.io/rsimsum/articles/C-plotting.html","id":"heat-plots","dir":"Articles","previous_headings":"","what":"Heat plots","title":"Visualising results from rsimsum","text":"Heat plots new visualisation suggest include first time. heat plots, produce heat-map-like plot filling tile represents given summary statistic, say bias:  visualisation type automatically puts data-generating mechanisms y-axis; default, methods included x axis. Therefore, plot useful simulation study includes different methods compared many data-generating mechanisms. Using heat plot, immediate identify visually method performs better data-generating mechanisms. default, heat plots use default ggplot scale filling aesthetic. recommended use different colour palette better characteristics, e.g. viridis colour palette matplotlib; see next section details , details viridis colour palette.","code":"autoplot(s1, type = \"heat\", stats = \"bias\")"},{"path":"https://ellessenne.github.io/rsimsum/articles/C-plotting.html","id":"contour-plots-and-hexbin-plots","dir":"Articles","previous_headings":"","what":"Contour plots and hexbin plots","title":"Visualising results from rsimsum","text":"Individual point estimates standard errors also plotted using contour plots hexbin plots. Contour plots represent 3-dimensional surface plotting constant z slices (called contours) 2-dimensional format. , given value z, lines drawn connecting (x, y) coordinates value z (relatively) homogenous. Hexbin plots useful represent relationship 2 numerical variables lot data points: instead overlapping, plotting window split several hexbins, number points per hexbin counted. colour filling denotes number points. plots provide alternative scatter plots large number data points overlap. Contour plots hexbin plots can easily obtained using autoplot method , using argument type = \"est_density\", type = \"se_density\", type = \"est_hex\", type = \"se_hex\". instance, focussing point estimates:   course, analogous plots obtained standard errors.","code":"autoplot(s1, type = \"est_density\") #> `geom_smooth()` using formula = 'y ~ x' autoplot(s1, type = \"est_hex\") #> `geom_smooth()` using formula = 'y ~ x'"},{"path":"https://ellessenne.github.io/rsimsum/articles/C-plotting.html","id":"custom-plotting","dir":"Articles","previous_headings":"","what":"Custom plotting","title":"Visualising results from rsimsum","text":"plots produced rsimsum meant quick explorations results Monte Carlo simulation studies: meant final manuscript-like-quality plots (although can useful starting point). Generally, output types autoplot calls ggplot objects; hence, generally straightforward customise plots. instance, say want add custom theme:  Compare default plot:  also mentioned colour palette heat plots customised. Say want use default viridis colour palette:  Analogously, say want customise colour palette ridgeline plots, using viridis colour palette:","code":"autoplot(summary(s1), type = \"lolly\", stats = \"bias\") +   ggplot2::theme_bw() autoplot(summary(s1), type = \"lolly\", stats = \"bias\") autoplot(s1, type = \"heat\", stats = \"bias\") +   ggplot2::scale_fill_viridis_c() autoplot(s1, type = \"est_ridge\") +   scale_fill_viridis_d() +   scale_colour_viridis_d() #> Picking joint bandwidth of 0.077"},{"path":"https://ellessenne.github.io/rsimsum/articles/D-nlp.html","id":"references","dir":"Articles","previous_headings":"","what":"References","title":"Nested loop plots","text":"Rücker, G. Schwarzer, G. 2014 Presenting simulation results nested loop plot. BMC Medical Research Methodology 14(1) ","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/E-custom-inputs.html","id":"single-estimand","dir":"Articles","previous_headings":"","what":"Single Estimand","title":"Custom input values for confidence intervals and true values","text":"rsimsum supports custom input values true value estimand confidence intervals limits (used calculate coverage probability). illustrate feature, can use tt dataset (bundled rsimsum): includes results simulation study assessing robustness t-test estimating difference means. t-test assumes t distribution, hence confidence intervals estimated mean generally based t distribution. See instance example t-test documentation (?t.test): can incorporate custom confidence intervals passing name two columns data ci.limits argument: , can incorporate different types confidence intervals analysis Monte Carlo simulation studies. Compare default setting: ci.limits also useful using non-symmetrical confidence intervals, e.g. using bootstrapped confidence intervals. pair values can also passed rsimsum ci.limits argument: better example utility method please get touch - ’d love hear ! default, simsum calculate confidence intervals using normal-theory, Wald-type intervals. possible use t-based critical values providing column (replication-specific) degrees freedom (analogously passing confidence bounds ci.limits): Given confidence intervals (lower, upper) obtained using critical values t distribution, results s4 equivalent results s1: can pass column values true well: Compare default settings: Finally, multiple columns identifying methods well. uses MIsim MIsim2 datasets, bundled {rsimsum}: syntax calling simsum() pretty much : See inferred methods: course, estimated performance measures :","code":"library(rsimsum) data(\"tt\", package = \"rsimsum\") head(tt) #>        diff       se     lower       upper       df repno dgm method #> 1 -2.185467 1.130916 -4.432925  0.06199072 88.00000     1   1      1 #> 2 -3.359683 1.572366 -6.484430 -0.23493506 88.00000     1   2      1 #> 3 -2.185467 1.285290 -4.778318  0.40738411 42.53603     1   1      2 #> 4 -3.359683 2.016465 -7.458611  0.73924596 33.78117     1   2      2 #> 5 -2.989333 1.150093 -5.274900 -0.70376532 88.00000     1   3      1 #> 6 -1.152852 1.368553 -3.872563  1.56685875 88.00000     1   4      1 t.test(extra ~ group, data = sleep) #>  #>  Welch Two Sample t-test #>  #> data:  extra by group #> t = -1.8608, df = 17.776, p-value = 0.07939 #> alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0 #> 95 percent confidence interval: #>  -3.3654832  0.2054832 #> sample estimates: #> mean in group 1 mean in group 2  #>            0.75            2.33 s1 <- simsum(data = tt, estvarname = \"diff\", true = -1, se = \"se\", ci.limits = c(\"lower\", \"upper\"), methodvar = \"method\", by = \"dgm\") #> 'ref' method was not specified, 1 set as the reference summary(s1, stats = \"cover\") #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Coverage of nominal 95% confidence interval: #>  dgm               1               2 #>    1 0.9400 (0.0106) 0.9400 (0.0106) #>    2 0.8780 (0.0146) 0.9420 (0.0105) #>    3 0.9380 (0.0108) 0.9500 (0.0097) #>    4 0.9020 (0.0133) 0.9420 (0.0105) s2 <- simsum(data = tt, estvarname = \"diff\", true = -1, se = \"se\", methodvar = \"method\", by = \"dgm\") #> 'ref' method was not specified, 1 set as the reference summary(s2, stats = \"cover\") #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Coverage of nominal 95% confidence interval: #>  dgm               1               2 #>    1 0.9400 (0.0106) 0.9360 (0.0109) #>    2 0.8680 (0.0151) 0.9320 (0.0113) #>    3 0.9380 (0.0108) 0.9420 (0.0105) #>    4 0.8940 (0.0138) 0.9360 (0.0109) s3 <- simsum(data = tt, estvarname = \"diff\", true = -1, se = \"se\", ci.limits = c(-1.5, -0.5), methodvar = \"method\", by = \"dgm\") #> 'ref' method was not specified, 1 set as the reference summary(s3, stats = \"cover\") #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Coverage of nominal 95% confidence interval: #>  dgm               1               2 #>    1 1.0000 (0.0000) 1.0000 (0.0000) #>    2 1.0000 (0.0000) 1.0000 (0.0000) #>    3 1.0000 (0.0000) 1.0000 (0.0000) #>    4 1.0000 (0.0000) 1.0000 (0.0000) s4 <- simsum(data = tt, estvarname = \"diff\", true = -1, se = \"se\", df = \"df\", methodvar = \"method\", by = \"dgm\") #> 'ref' method was not specified, 1 set as the reference all.equal(tidy(s1), tidy(s4)) #> [1] TRUE tt$true <- -1 s5 <- simsum(data = tt, estvarname = \"diff\", true = \"true\", se = \"se\", ci.limits = c(\"lower\", \"upper\"), methodvar = \"method\", by = \"dgm\") #> 'ref' method was not specified, 1 set as the reference summary(s5, stats = \"cover\") #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Coverage of nominal 95% confidence interval: #>  dgm               1               2 #>    1 0.9400 (0.0106) 0.9400 (0.0106) #>    2 0.8780 (0.0146) 0.9420 (0.0105) #>    3 0.9380 (0.0108) 0.9500 (0.0097) #>    4 0.9020 (0.0133) 0.9420 (0.0105) summary(s2, stats = \"cover\") #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Coverage of nominal 95% confidence interval: #>  dgm               1               2 #>    1 0.9400 (0.0106) 0.9360 (0.0109) #>    2 0.8680 (0.0151) 0.9320 (0.0113) #>    3 0.9380 (0.0108) 0.9420 (0.0105) #>    4 0.8940 (0.0138) 0.9360 (0.0109) data(\"MIsim\", package = \"rsimsum\") data(\"MIsim2\", package = \"rsimsum\") head(MIsim) #> # A tibble: 6 × 4 #>   dataset method      b    se #>           #> 1       1 CC      0.707 0.147 #> 2       1 MI_T    0.684 0.126 #> 3       1 MI_LOGT 0.712 0.141 #> 4       2 CC      0.349 0.160 #> 5       2 MI_T    0.406 0.141 #> 6       2 MI_LOGT 0.429 0.136 head(MIsim2) #> # A tibble: 6 × 5 #>   dataset m1    m2         b    se #>           #> 1       1 CC    \"\"     0.707 0.147 #> 2       1 MI    \"T\"    0.684 0.126 #> 3       1 MI    \"LOGT\" 0.712 0.141 #> 4       2 CC    \"\"     0.349 0.160 #> 5       2 MI    \"T\"    0.406 0.141 #> 6       2 MI    \"LOGT\" 0.429 0.136 s6 <- simsum(data = MIsim, estvarname = \"b\", true = 0.50, se = \"se\", methodvar = \"method\") #> 'ref' method was not specified, CC set as the reference s7 <- simsum(data = MIsim2, estvarname = \"b\", true = 0.50, se = \"se\", methodvar = c(\"m1\", \"m2\")) #> 'ref' method was not specified, CC: set as the reference print(s6) #> Summary of a simulation study with a single estimand. #> True value of the estimand: 0.5  #>  #> Method variable: method  #>  Unique methods: CC, MI_LOGT, MI_T  #>  Reference method: CC  #>  #> By factors: none #>  #> Monte Carlo standard errors were computed. print(s7) #> Summary of a simulation study with a single estimand. #> True value of the estimand: 0.5  #>  #> Columns identifying methods: m1, m2  #>  Unique methods: CC:, MI:LOGT, MI:T  #>  #> By factors: none #>  #> Monte Carlo standard errors were computed. all.equal(tidy(s6)$est, tidy(s7)$est) #> [1] TRUE"},{"path":"https://ellessenne.github.io/rsimsum/articles/E-custom-inputs.html","id":"multiple-estimands-at-once","dir":"Articles","previous_headings":"","what":"Multiple Estimands at Once","title":"Custom input values for confidence intervals and true values","text":"multisimsum can flexible simsum. Remember default behaviour: example, pass true values estimand named vector c(trt = -0.50, fv = 0.75). Say instead stored true value estimand column dataset: data structure, can pass string value multisimsum identify true column dataset: can confirm obtain results two approaches: approach particularly useful true value might vary across replications (e.g. depends simulated dataset). course, can combined custom confidence interval limits coverage well: completely different : Multiple columns identifying methods supported multisimsum() well; examples omitted , works analogously simsum().","code":"data(\"frailty\", package = \"rsimsum\") ms1 <- multisimsum(   data = frailty,   par = \"par\", true = c(trt = -0.50, fv = 0.75),   estvarname = \"b\", se = \"se\", methodvar = \"model\",   by = \"fv_dist\" ) #> 'ref' method was not specified, Cox, Gamma set as the reference summary(ms1, stats = \"bias\") #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #>     #> Parameter: fv  #>  #> Bias in point estimate: #>     fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma RP(P), Log-Normal #>       Gamma -0.0124 (0.0045)  0.2299 (0.0076) -0.0179 (0.0044)   0.2347 (0.0077) #>  Log-Normal -0.1064 (0.0043) -0.0175 (0.0049) -0.1066 (0.0041)  -0.0152 (0.0050) #>  #>  ------------------------------------------------------------------------------------------------------------------------------------------------------  #>   #> Parameter: trt  #>  #> Bias in point estimate: #>     fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma RP(P), Log-Normal #>       Gamma -0.0006 (0.0016) -0.0013 (0.0016) -0.0003 (0.0016)  -0.0015 (0.0016) #>  Log-Normal -0.0006 (0.0015) -0.0014 (0.0015) -0.0006 (0.0015)  -0.0016 (0.0015) frailty$true <- ifelse(frailty$par == \"trt\", -0.50, 0.75) head(frailty) #>   i         b        se par    fv_dist             model true #> 1 1 0.6569546 0.1256964  fv      Gamma        Cox, Gamma 0.75 #> 2 1 0.8396248 0.1663368  fv      Gamma   Cox, Log-Normal 0.75 #> 3 1 0.6583130 0.1260354  fv      Gamma      RP(P), Gamma 0.75 #> 4 1 0.8410503 0.1804898  fv      Gamma RP(P), Log-Normal 0.75 #> 5 1 0.6394722 0.1223808  fv Log-Normal        Cox, Gamma 0.75 #> 6 1 0.7573628 0.1235062  fv Log-Normal   Cox, Log-Normal 0.75 ms2 <- multisimsum(   data = frailty,   par = \"par\", true = \"true\",   estvarname = \"b\", se = \"se\", methodvar = \"model\",   by = \"fv_dist\" ) #> 'ref' method was not specified, Cox, Gamma set as the reference summary(ms2, stats = \"bias\") #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #>     #> Parameter: fv  #>  #> Bias in point estimate: #>     fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma RP(P), Log-Normal #>       Gamma -0.0124 (0.0045)  0.2299 (0.0076) -0.0179 (0.0044)   0.2347 (0.0077) #>  Log-Normal -0.1064 (0.0043) -0.0175 (0.0049) -0.1066 (0.0041)  -0.0152 (0.0050) #>  #>  ------------------------------------------------------------------------------------------------------------------------------------------------------  #>   #> Parameter: trt  #>  #> Bias in point estimate: #>     fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma RP(P), Log-Normal #>       Gamma -0.0006 (0.0016) -0.0013 (0.0016) -0.0003 (0.0016)  -0.0015 (0.0016) #>  Log-Normal -0.0006 (0.0015) -0.0014 (0.0015) -0.0006 (0.0015)  -0.0016 (0.0015) identical(tidy(ms1), tidy(ms2)) #> [1] TRUE frailty$lower <- frailty$b - qt(1 - 0.05 / 2, df = 10) * frailty$se frailty$upper <- frailty$b + qt(1 - 0.05 / 2, df = 10) * frailty$se  ms3 <- multisimsum(   data = frailty,   par = \"par\", true = \"true\",   estvarname = \"b\", se = \"se\", methodvar = \"model\",   by = \"fv_dist\",   ci.limits = c(\"lower\", \"upper\") ) #> 'ref' method was not specified, Cox, Gamma set as the reference summary(ms3, stats = \"cover\") #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #>     #> Parameter: fv  #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.9477 (0.0071) 0.9680 (0.0056) 0.9516 (0.0069)   0.9640 (0.0059) #>  Log-Normal 0.8046 (0.0128) 0.9330 (0.0079) 0.8235 (0.0121)   0.9460 (0.0071) #>  #>  ------------------------------------------------------------------------------------------------------------------------------------------------------  #>   #> Parameter: trt  #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.9730 (0.0051) 0.9710 (0.0053) 0.9732 (0.0052)   0.9710 (0.0053) #>  Log-Normal 0.9710 (0.0053) 0.9690 (0.0055) 0.9719 (0.0052)   0.9690 (0.0055) summary(ms2, stats = \"cover\") #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #>     #> Parameter: fv  #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.9201 (0.0087) 0.9220 (0.0085) 0.9300 (0.0082)   0.9030 (0.0094) #>  Log-Normal 0.7503 (0.0140) 0.9020 (0.0094) 0.7683 (0.0134)   0.9280 (0.0082) #>  #>  ------------------------------------------------------------------------------------------------------------------------------------------------------  #>   #> Parameter: trt  #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.9500 (0.0069) 0.9490 (0.0070) 0.9506 (0.0070)   0.9500 (0.0069) #>  Log-Normal 0.9410 (0.0075) 0.9420 (0.0074) 0.9428 (0.0074)   0.9430 (0.0073)"},{"path":"https://ellessenne.github.io/rsimsum/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Alessandro Gasparini. Author, maintainer. Ian R. White. Author.","code":""},{"path":"https://ellessenne.github.io/rsimsum/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Gasparini, (2018). rsimsum: Summarise results Monte Carlo simulation studies. Journal Open Source Software, 3(26), 739, https://doi.org/10.21105/joss.00739","code":"@Article{,   author = {Alessandro Gasparini},   title = {rsimsum: Summarise results from Monte Carlo simulation studies},   journal = {Journal of Open Source Software},   year = {2018},   volume = {3},   issue = {26},   pages = {739},   doi = {10.21105/joss.00739},   url = {https://doi.org/10.21105/joss.00739}, }"},{"path":"https://ellessenne.github.io/rsimsum/index.html","id":"rsimsum-","dir":"","previous_headings":"","what":"Analysis of Simulation Studies Including Monte Carlo Error","title":"Analysis of Simulation Studies Including Monte Carlo Error","text":"rsimsum R package can compute summary statistics simulation studies. rsimsum modelled upon similar package available Stata, user-written command simsum (White .R., 2010). aim rsimsum help report simulation studies, including understanding role chance results simulation studies: Monte Carlo standard errors confidence intervals based computed presented user default. rsimsum can compute wide variety summary statistics: bias, empirical model-based standard errors, relative precision, relative error model standard error, mean squared error, coverage, bias. details summary statistic presented elsewhere (White .R., 2010; Morris et al, 2019). main function rsimsum called simsum can handle simulation studies single estimand interest time. Missing values excluded default, possible define boundary values drop estimated values standard errors exceeding limits. possible define variable representing methods compared simulation study, possible define factors, , factors vary different simulated scenarios (data-generating mechanisms, DGMs). However, methods DGMs strictly required: case, simulation study single scenario single method assumed. Finally, rsimsum provides function named multisimsum allows summarising simulation studies multiple estimands well. important step reporting simulation study consists visualising results; therefore, rsimsum exploits R package ggplot2 produce portfolio opinionated data visualisations quick exploration results, inferring colours facetting data-generating mechanisms. rsimsum includes methods produce (1) plots summary statistics confidence intervals based Monte Carlo standard errors (forest plots, lolly plots), (2) zipper plots graphically visualise coverage directly plotting confidence intervals, (3) plots method-wise comparisons estimates standard errors (scatter plots, Bland-Altman plots, ridgeline plots), (4) heat plots. latter visualisation type traditionally used present results simulation studies, consists mosaic plot factor x-axis methods compared current simulation study factor y-axis data-generating factors. tile mosaic plot coloured according value summary statistic interest, red colour representing values target value blue colour representing values target.","code":""},{"path":"https://ellessenne.github.io/rsimsum/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Analysis of Simulation Studies Including Monte Carlo Error","text":"can install rsimsum CRAN: Alternatively, possible install development version GitHub using remotes package:","code":"install.packages(\"rsimsum\") # install.packages(\"remotes\") remotes::install_github(\"ellessenne/rsimsum\")"},{"path":"https://ellessenne.github.io/rsimsum/index.html","id":"example","dir":"","previous_headings":"","what":"Example","title":"Analysis of Simulation Studies Including Monte Carlo Error","text":"basic example using data simulation study missing data (type help(\"MIsim\", package = \"rsimsum\") R console information): set x = TRUE required plot types. Summarising results:","code":"library(rsimsum) data(\"MIsim\", package = \"rsimsum\") s <- simsum(data = MIsim, estvarname = \"b\", true = 0.5, se = \"se\", methodvar = \"method\", x = TRUE) #> 'ref' method was not specified, CC set as the reference s #> Summary of a simulation study with a single estimand. #> True value of the estimand: 0.5  #>  #> Method variable: method  #>  Unique methods: CC, MI_LOGT, MI_T  #>  Reference method: CC  #>  #> By factors: none #>  #> Monte Carlo standard errors were computed. summary(s) #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Non-missing point estimates/standard errors: #>    CC MI_LOGT MI_T #>  1000    1000 1000 #>  #> Average point estimate: #>      CC MI_LOGT   MI_T #>  0.5168  0.5009 0.4988 #>  #> Median point estimate: #>      CC MI_LOGT   MI_T #>  0.5070  0.4969 0.4939 #>  #> Average variance: #>      CC MI_LOGT   MI_T #>  0.0216  0.0182 0.0179 #>  #> Median variance: #>      CC MI_LOGT   MI_T #>  0.0211  0.0172 0.0169 #>  #> Bias in point estimate: #>               CC         MI_LOGT             MI_T #>  0.0168 (0.0048) 0.0009 (0.0042) -0.0012 (0.0043) #>  #> Relative bias in point estimate: #>               CC         MI_LOGT             MI_T #>  0.0335 (0.0096) 0.0018 (0.0083) -0.0024 (0.0085) #>  #> Empirical standard error: #>               CC         MI_LOGT            MI_T #>  0.1511 (0.0034) 0.1320 (0.0030) 0.1344 (0.0030) #>  #> % gain in precision relative to method CC: #>               CC          MI_LOGT             MI_T #>  0.0000 (0.0000) 31.0463 (3.9375) 26.3682 (3.8424) #>  #> Mean squared error: #>               CC         MI_LOGT            MI_T #>  0.0231 (0.0011) 0.0174 (0.0009) 0.0181 (0.0009) #>  #> Model-based standard error: #>               CC         MI_LOGT            MI_T #>  0.1471 (0.0005) 0.1349 (0.0006) 0.1338 (0.0006) #>  #> Relative % error in standard error: #>                CC         MI_LOGT             MI_T #>  -2.6594 (2.2055) 2.2233 (2.3323) -0.4412 (2.2695) #>  #> Coverage of nominal 95% confidence interval: #>               CC         MI_LOGT            MI_T #>  0.9430 (0.0073) 0.9490 (0.0070) 0.9430 (0.0073) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>               CC         MI_LOGT            MI_T #>  0.9400 (0.0075) 0.9490 (0.0070) 0.9430 (0.0073) #>  #> Power of 5% level test: #>               CC         MI_LOGT            MI_T #>  0.9460 (0.0071) 0.9690 (0.0055) 0.9630 (0.0060)"},{"path":"https://ellessenne.github.io/rsimsum/index.html","id":"vignettes","dir":"","previous_headings":"","what":"Vignettes","title":"Analysis of Simulation Studies Including Monte Carlo Error","text":"rsimsum comes 5 vignettes. particular, check introductory one: list vignettes obtained typing following R console:","code":"vignette(topic = \"A-introduction\", package = \"rsimsum\") vignette(package = \"rsimsum\")"},{"path":"https://ellessenne.github.io/rsimsum/index.html","id":"visualising-results","dir":"","previous_headings":"","what":"Visualising results","title":"Analysis of Simulation Studies Including Monte Carlo Error","text":"version 0.2.0, rsimsum can produce variety plots: among others, lolly plots, forest plots, zipper plots, etc.:   rsimsum 0.5.0 plotting functionality completely rewritten, new plot types implemented: Scatter plots method-wise comparisons, including Bland-Altman type plots;  Ridgeline plots.  Nested loop plots implemented rsimsum 0.6.0:  Finally, rsimsum 0.7.1 contour plots hexbin plots implemented well:   provide useful alternative several data points large overlap (e.g. scatterplot). plotting functionality now extend S3 generic autoplot: see ?ggplot2::autoplot ?rsimsum::autoplot.simsum details. details information can found vignettes dedicated plotting:","code":"library(ggplot2) autoplot(s, type = \"lolly\", stats = \"bias\") autoplot(s, type = \"zip\") autoplot(s, type = \"est_ba\") #> `geom_smooth()` using formula = 'y ~ x' autoplot(s, type = \"est_ridge\") #> Picking joint bandwidth of 0.0295 data(\"nlp\", package = \"rsimsum\") s.nlp <- rsimsum::simsum(   data = nlp, estvarname = \"b\", true = 0, se = \"se\",   methodvar = \"model\", by = c(\"baseline\", \"ss\", \"esigma\") ) #> 'ref' method was not specified, 1 set as the reference autoplot(s.nlp, stats = \"bias\", type = \"nlp\") autoplot(s, type = \"est_density\") #> `geom_smooth()` using formula = 'y ~ x' autoplot(s, type = \"est_hex\") #> `geom_smooth()` using formula = 'y ~ x' vignette(topic = \"C-plotting\", package = \"rsimsum\") vignette(topic = \"D-nlp\", package = \"rsimsum\")"},{"path":"https://ellessenne.github.io/rsimsum/index.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Analysis of Simulation Studies Including Monte Carlo Error","text":"find rsimsum useful, please cite publications:","code":"citation(\"rsimsum\") #> To cite package 'rsimsum' in publications use: #>  #>   Gasparini, (2018). rsimsum: Summarise results from Monte Carlo simulation studies. #>   Journal of Open Source Software, 3(26), 739, https://doi.org/10.21105/joss.00739 #>  #> A BibTeX entry for LaTeX users is #>  #>   @Article{, #>     author = {Alessandro Gasparini}, #>     title = {rsimsum: Summarise results from Monte Carlo simulation studies}, #>     journal = {Journal of Open Source Software}, #>     year = {2018}, #>     volume = {3}, #>     issue = {26}, #>     pages = {739}, #>     doi = {10.21105/joss.00739}, #>     url = {https://doi.org/10.21105/joss.00739}, #>   }"},{"path":"https://ellessenne.github.io/rsimsum/index.html","id":"references","dir":"","previous_headings":"","what":"References","title":"Analysis of Simulation Studies Including Monte Carlo Error","text":"White, .R. 2010. simsum: Analyses simulation studies including Monte Carlo error. Stata Journal, 10(3): 369-385 Morris, T.P., White, .R. Crowther, M.J. 2019. Using simulation studies evaluate statistical methods. Statistics Medicine, 38: 2074-2102 Gasparini, . 2018. rsimsum: Summarise results Monte Carlo simulation studies. Journal Open Source Software, 3(26):739","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/MIsim.html","id":null,"dir":"Reference","previous_headings":"","what":"Example of a simulation study on missing data — MIsim","title":"Example of a simulation study on missing data — MIsim","text":"dataset simulation study comparing different ways handle missing covariates fitting Cox model (White Royston, 2009). One thousand datasets simulated, containing normally distributed covariates \\(x\\) \\(z\\) time--event outcome. covariates 20\\ simulated dataset analysed three ways. Cox model fit complete cases (CC). two methods multiple imputation using chained equations (van Buuren, Boshuizen, Knook, 1999) used. MI_LOGT method multiply imputes missing values \\(x\\) \\(z\\) outcome included \\(\\log (t)\\) \\(d\\), \\(t\\) survival time \\(d\\) event indicator. MI_T method except \\(\\log (t)\\) replaced \\(t\\) imputation model. results stored long format.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/MIsim.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Example of a simulation study on missing data — MIsim","text":"","code":"MIsim  MIsim2"},{"path":"https://ellessenne.github.io/rsimsum/reference/MIsim.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Example of a simulation study on missing data — MIsim","text":"data frame 3,000 rows 4 variables: dataset Simulated dataset number. method Method used (CC, MI_LOGT MI_T). b Point estimate. se Standard error point estimate. object class tbl_df (inherits tbl, data.frame) 3000 rows 5 columns.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/MIsim.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Example of a simulation study on missing data — MIsim","text":"MIsim2 version dataset method column split two columns, m1 m2.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/MIsim.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Example of a simulation study on missing data — MIsim","text":"White, .R., P. Royston. 2009. Imputing missing covariate values Cox model. Statistics Medicine 28(15):1982-1998 doi:10.1002/sim.3618","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/MIsim.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Example of a simulation study on missing data — MIsim","text":"","code":"data(\"MIsim\", package = \"rsimsum\") data(\"MIsim2\", package = \"rsimsum\")"},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.multisimsum.html","id":null,"dir":"Reference","previous_headings":"","what":"autoplot method for multisimsum objects — autoplot.multisimsum","title":"autoplot method for multisimsum objects — autoplot.multisimsum","text":"autoplot can produce series plot summarise results simulation studies. See vignette(\"C-plotting\", package = \"rsimsum\") details.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.multisimsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"autoplot method for multisimsum objects — autoplot.multisimsum","text":"","code":"# S3 method for multisimsum autoplot(   object,   par,   type = \"forest\",   stats = \"nsim\",   target = NULL,   fitted = TRUE,   scales = \"fixed\",   top = TRUE,   density.legend = TRUE,   zoom = 1,   ... )"},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.multisimsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"autoplot method for multisimsum objects — autoplot.multisimsum","text":"object object class multisimsum. par parameter results plot. type type plot produced. Possible choices : forest, lolly, zip, est, se, est_ba, se_ba, est_density, se_density, est_hex, se_hex, est_ridge, se_ridge, heat, nlp, forest default. stats Summary statistic plot, defaults bias. See summary.simsum() details supported summary statistics. target Target summary statistic, e.g. 0 bias. Defaults NULL, case target inferred. fitted Superimpose fitted regression line, useful type = (est, se, est_ba, se_ba, est_density, se_density, est_hex, se_hex). Defaults TRUE. scales scales fixed (fixed, default), free (free), free one dimension (free_x, free_y)? top legend nested loop plot top side plot? Defaults TRUE. density.legend legend density hexbin plots included? Defaults TRUE. zoom numeric value 0 1 signalling zip plot zoom top x% plot (ease interpretation). Defaults 1, whole zip plot displayed. ... used.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.multisimsum.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"autoplot method for multisimsum objects — autoplot.multisimsum","text":"ggplot object.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.multisimsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"autoplot method for multisimsum objects — autoplot.multisimsum","text":"","code":"data(\"frailty\", package = \"rsimsum\") ms <- multisimsum(   data = frailty,   par = \"par\", true = c(trt = -0.50, fv = 0.75),   estvarname = \"b\", se = \"se\", methodvar = \"model\",   by = \"fv_dist\", x = TRUE ) #> 'ref' method was not specified, Cox, Gamma set as the reference  library(ggplot2) autoplot(ms, par = \"trt\")  autoplot(ms, par = \"trt\", type = \"lolly\", stats = \"cover\")  autoplot(ms, par = \"trt\", type = \"zip\") #> Warning: Removed 32 rows containing missing values (`geom_segment()`).  autoplot(ms, par = \"trt\", type = \"est_ba\") #> `geom_smooth()` using formula = 'y ~ x' #> Warning: Removed 96 rows containing non-finite values (`stat_smooth()`). #> Warning: Removed 96 rows containing missing values (`geom_point()`)."},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.simsum.html","id":null,"dir":"Reference","previous_headings":"","what":"autoplot method for simsum objects — autoplot.simsum","title":"autoplot method for simsum objects — autoplot.simsum","text":"autoplot can produce series plot summarise results simulation studies. See vignette(\"C-plotting\", package = \"rsimsum\") details.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.simsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"autoplot method for simsum objects — autoplot.simsum","text":"","code":"# S3 method for simsum autoplot(   object,   type = \"forest\",   stats = \"nsim\",   target = NULL,   fitted = TRUE,   scales = \"fixed\",   top = TRUE,   density.legend = TRUE,   zoom = 1,   ... )"},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.simsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"autoplot method for simsum objects — autoplot.simsum","text":"object object class simsum. type type plot produced. Possible choices : forest, lolly, zip, est, se, est_ba, se_ba, est_ridge, se_ridge, est_density, se_density, est_hex, se_hex, heat, nlp, forest default. stats Summary statistic plot, defaults nsim (number replications non-missing point estimates/SEs). See summary.simsum() details supported summary statistics. target Target summary statistic, e.g. 0 bias. Defaults NULL, case target inferred. fitted Superimpose fitted regression line, useful type = (est, se, est_ba, se_ba, est_density, se_density, est_hex, se_hex). Defaults TRUE. scales scales fixed (fixed, default), free (free), free one dimension (free_x, free_y)? top legend nested loop plot top side plot? Defaults TRUE. density.legend legend density hexbin plots included? Defaults TRUE. zoom numeric value 0 1 signalling zip plot zoom top x% plot (ease interpretation). Defaults 1, whole zip plot displayed. ... used.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.simsum.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"autoplot method for simsum objects — autoplot.simsum","text":"ggplot object.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.simsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"autoplot method for simsum objects — autoplot.simsum","text":"","code":"data(\"MIsim\", package = \"rsimsum\") s <- rsimsum::simsum(   data = MIsim, estvarname = \"b\", true = 0.5, se = \"se\",   methodvar = \"method\", x = TRUE ) #> 'ref' method was not specified, CC set as the reference  library(ggplot2) autoplot(s)  autoplot(s, type = \"lolly\")  autoplot(s, type = \"est_hex\") #> `geom_smooth()` using formula = 'y ~ x'  autoplot(s, type = \"zip\", zoom = 0.5)   # Nested loop plot: data(\"nlp\", package = \"rsimsum\") s1 <- rsimsum::simsum(   data = nlp, estvarname = \"b\", true = 0, se = \"se\",   methodvar = \"model\", by = c(\"baseline\", \"ss\", \"esigma\") ) #> 'ref' method was not specified, 1 set as the reference autoplot(s1, stats = \"bias\", type = \"nlp\")"},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.summary.multisimsum.html","id":null,"dir":"Reference","previous_headings":"","what":"autoplot method for summary.multisimsum objects — autoplot.summary.multisimsum","title":"autoplot method for summary.multisimsum objects — autoplot.summary.multisimsum","text":"autoplot method summary.multisimsum objects","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.summary.multisimsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"autoplot method for summary.multisimsum objects — autoplot.summary.multisimsum","text":"","code":"# S3 method for summary.multisimsum autoplot(   object,   par,   type = \"forest\",   stats = \"nsim\",   target = NULL,   fitted = TRUE,   scales = \"fixed\",   top = TRUE,   density.legend = TRUE,   zoom = 1,   ... )"},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.summary.multisimsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"autoplot method for summary.multisimsum objects — autoplot.summary.multisimsum","text":"object object class summary.multisimsum. par parameter results plot. type type plot produced. Possible choices : forest, lolly, zip, est, se, est_ba, se_ba, est_density, se_density, est_hex, se_hex, est_ridge, se_ridge, heat, nlp, forest default. stats Summary statistic plot, defaults bias. See summary.simsum() details supported summary statistics. target Target summary statistic, e.g. 0 bias. Defaults NULL, case target inferred. fitted Superimpose fitted regression line, useful type = (est, se, est_ba, se_ba, est_density, se_density, est_hex, se_hex). Defaults TRUE. scales scales fixed (fixed, default), free (free), free one dimension (free_x, free_y)? top legend nested loop plot top side plot? Defaults TRUE. density.legend legend density hexbin plots included? Defaults TRUE. zoom numeric value 0 1 signalling zip plot zoom top x% plot (ease interpretation). Defaults 1, whole zip plot displayed. ... used.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.summary.multisimsum.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"autoplot method for summary.multisimsum objects — autoplot.summary.multisimsum","text":"ggplot object.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.summary.multisimsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"autoplot method for summary.multisimsum objects — autoplot.summary.multisimsum","text":"","code":"data(\"frailty\", package = \"rsimsum\") ms <- multisimsum(   data = frailty,   par = \"par\", true = c(trt = -0.50, fv = 0.75),   estvarname = \"b\", se = \"se\", methodvar = \"model\",   by = \"fv_dist\", x = TRUE ) #> 'ref' method was not specified, Cox, Gamma set as the reference sms <- summary(ms)  library(ggplot2) autoplot(sms, par = \"trt\")"},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.summary.simsum.html","id":null,"dir":"Reference","previous_headings":"","what":"autoplot method for summary.simsum objects — autoplot.summary.simsum","title":"autoplot method for summary.simsum objects — autoplot.summary.simsum","text":"autoplot method summary.simsum objects","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.summary.simsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"autoplot method for summary.simsum objects — autoplot.summary.simsum","text":"","code":"# S3 method for summary.simsum autoplot(   object,   type = \"forest\",   stats = \"nsim\",   target = NULL,   fitted = TRUE,   scales = \"fixed\",   top = TRUE,   density.legend = TRUE,   zoom = 1,   ... )"},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.summary.simsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"autoplot method for summary.simsum objects — autoplot.summary.simsum","text":"object object class summary.simsum. type type plot produced. Possible choices : forest, lolly, zip, est, se, est_ba, se_ba, est_ridge, se_ridge, est_density, se_density, est_hex, se_hex, heat, nlp, forest default. stats Summary statistic plot, defaults nsim (number replications non-missing point estimates/SEs). See summary.simsum() details supported summary statistics. target Target summary statistic, e.g. 0 bias. Defaults NULL, case target inferred. fitted Superimpose fitted regression line, useful type = (est, se, est_ba, se_ba, est_density, se_density, est_hex, se_hex). Defaults TRUE. scales scales fixed (fixed, default), free (free), free one dimension (free_x, free_y)? top legend nested loop plot top side plot? Defaults TRUE. density.legend legend density hexbin plots included? Defaults TRUE. zoom numeric value 0 1 signalling zip plot zoom top x% plot (ease interpretation). Defaults 1, whole zip plot displayed. ... used.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.summary.simsum.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"autoplot method for summary.simsum objects — autoplot.summary.simsum","text":"ggplot object.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.summary.simsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"autoplot method for summary.simsum objects — autoplot.summary.simsum","text":"","code":"data(\"MIsim\", package = \"rsimsum\") s <- rsimsum::simsum(   data = MIsim, estvarname = \"b\", true = 0.5, se = \"se\",   methodvar = \"method\", x = TRUE ) #> 'ref' method was not specified, CC set as the reference ss <- summary(s)  library(ggplot2) autoplot(ss)  autoplot(ss, type = \"lolly\") #> Warning: Removed 3 rows containing missing values (`geom_point()`). #> Warning: Removed 3 rows containing missing values (`geom_point()`)."},{"path":"https://ellessenne.github.io/rsimsum/reference/dropbig.html","id":null,"dir":"Reference","previous_headings":"","what":"Identify replications with large point estimates, standard errors — dropbig","title":"Identify replications with large point estimates, standard errors — dropbig","text":"dropbig useful identify replications large point estimates standard errors. Large values defined standardised values given threshold, defined calling dropbig. Regular standardisation using mean standard deviation implemented, well robust standardisation using median inter-quartile range. ,  standardisation process stratified data-generating mechanism factors defined.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/dropbig.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Identify replications with large point estimates, standard errors — dropbig","text":"","code":"dropbig(   data,   estvarname,   se = NULL,   methodvar = NULL,   by = NULL,   max = 10,   semax = 100,   robust = TRUE )"},{"path":"https://ellessenne.github.io/rsimsum/reference/dropbig.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Identify replications with large point estimates, standard errors — dropbig","text":"data data.frame variable names interpreted. tidy format, e.g. variable forms column observation forms row. estvarname name variable containing point estimates. se name variable containing standard errors point estimates. methodvar name variable containing methods compare. instance, methods models compared within simulation study. Can NULL. vector variable names compute performance measures list factors. Factors listed (potentially several) data-generating mechanisms used simulate data different scenarios (e.g. sample size, true distribution variable, etc.). Can NULL. max Specifies maximum acceptable absolute value point estimates, standardisation. Defaults 10. semax Specifies maximum acceptable absolute value standard error, standardisation. Defaults 100. robust Specifies whether use robust standardisation (using median inter-quartile range) rather normal standardisation (using mean standard deviation). Defaults TRUE.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/dropbig.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Identify replications with large point estimates, standard errors — dropbig","text":"data.frame given input additional column named .dropbig identifying rows classified large (.dropbig = TRUE) according specified criterion.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/dropbig.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Identify replications with large point estimates, standard errors — dropbig","text":"","code":"data(\"frailty\", package = \"rsimsum\") frailty2 <- subset(frailty, par == \"fv\")  # Using low values of max, semax for illustration purposes: dropbig(   data = frailty2, estvarname = \"b\", se = \"se\",   methodvar = \"model\", by = \"fv_dist\", max = 2, semax = 2 ) #>          i         b          se par    fv_dist             model .dropbig #> 1        1 0.6569546 0.125696425  fv      Gamma        Cox, Gamma    FALSE #> 17       2 0.6613376 0.129510423  fv      Gamma        Cox, Gamma    FALSE #> 33       3 1.0953274 0.206427350  fv      Gamma        Cox, Gamma     TRUE #> 49       4 0.8406551 0.156744704  fv      Gamma        Cox, Gamma    FALSE #> 65       5 0.7027899 0.135173710  fv      Gamma        Cox, Gamma    FALSE #> 81       6 0.7745830 0.145766148  fv      Gamma        Cox, Gamma    FALSE #> 97       7 0.6471639 0.124092810  fv      Gamma        Cox, Gamma    FALSE #> 113      8 0.9999895 0.185104048  fv      Gamma        Cox, Gamma    FALSE #> 129      9 0.8249801 0.156193824  fv      Gamma        Cox, Gamma    FALSE #> 145     10 0.8173031 0.154691420  fv      Gamma        Cox, Gamma    FALSE #> 161     11 0.8131207 0.155467829  fv      Gamma        Cox, Gamma    FALSE #> 177     12 0.9917031 0.183639448  fv      Gamma        Cox, Gamma    FALSE #> 193     13 0.9497115 0.177544292  fv      Gamma        Cox, Gamma    FALSE #> 209     14 0.5818812 0.115038898  fv      Gamma        Cox, Gamma    FALSE #> 225     15 0.8821317          NA  fv      Gamma        Cox, Gamma       NA #> 241     16 1.0080549 0.185306797  fv      Gamma        Cox, Gamma    FALSE #> 257     17 0.5966007          NA  fv      Gamma        Cox, Gamma       NA #> 273     18 0.4670966 0.096268874  fv      Gamma        Cox, Gamma    FALSE #> 289     19 0.7333278 0.139560619  fv      Gamma        Cox, Gamma    FALSE #> 305     20 0.9569888 0.178946282  fv      Gamma        Cox, Gamma    FALSE #> 321     21 0.5534068 0.111432621  fv      Gamma        Cox, Gamma    FALSE #> 337     22 0.8922715 0.168260755  fv      Gamma        Cox, Gamma    FALSE #> 353     23 0.6148386 0.118749326  fv      Gamma        Cox, Gamma    FALSE #> 369     24 0.7503412 0.141751724  fv      Gamma        Cox, Gamma    FALSE #> 385     25 0.7795077 0.147239297  fv      Gamma        Cox, Gamma    FALSE #> 401     26 0.7226755 0.138933052  fv      Gamma        Cox, Gamma    FALSE #> 417     27 1.1454385 0.211444516  fv      Gamma        Cox, Gamma     TRUE #> 433     28 1.0146311 0.187317613  fv      Gamma        Cox, Gamma    FALSE #> 449     29 0.9243730 0.171650779  fv      Gamma        Cox, Gamma    FALSE #> 465     30 0.9627598 0.180455732  fv      Gamma        Cox, Gamma    FALSE #> 481     31 0.6097090 0.120254015  fv      Gamma        Cox, Gamma    FALSE #> 497     32 0.7776626 0.148059501  fv      Gamma        Cox, Gamma    FALSE #> 513     33 0.5967068 0.115380144  fv      Gamma        Cox, Gamma    FALSE #> 529     34 0.5604221 0.109501220  fv      Gamma        Cox, Gamma    FALSE #> 545     35 0.7513179 0.145994135  fv      Gamma        Cox, Gamma    FALSE #> 561     36 0.6005370 0.119633066  fv      Gamma        Cox, Gamma    FALSE #> 577     37 0.5965864 0.115755917  fv      Gamma        Cox, Gamma    FALSE #> 593     38 0.5250277 0.103624408  fv      Gamma        Cox, Gamma    FALSE #> 609     39 0.7131612 0.135237995  fv      Gamma        Cox, Gamma    FALSE #> 625     40 0.4799652 0.095913495  fv      Gamma        Cox, Gamma    FALSE #> 641     41 1.1936478 0.213913615  fv      Gamma        Cox, Gamma     TRUE #> 657     42 0.7119055 0.138537976  fv      Gamma        Cox, Gamma    FALSE #> 673     43 0.8157571 0.153496265  fv      Gamma        Cox, Gamma    FALSE #> 689     44 0.8510680 0.159321249  fv      Gamma        Cox, Gamma    FALSE #> 705     45 0.7759695 0.146268948  fv      Gamma        Cox, Gamma    FALSE #> 721     46 0.7346442 0.139055138  fv      Gamma        Cox, Gamma    FALSE #> 737     47 0.9080543 0.172117120  fv      Gamma        Cox, Gamma    FALSE #> 753     48 0.7536020 0.144378149  fv      Gamma        Cox, Gamma    FALSE #> 769     49 0.7841137 0.149576489  fv      Gamma        Cox, Gamma    FALSE #> 785     50 0.7177537 0.136129350  fv      Gamma        Cox, Gamma    FALSE #> 801     51 0.8978122 0.167355928  fv      Gamma        Cox, Gamma    FALSE #> 817     52 0.6175795 0.122643583  fv      Gamma        Cox, Gamma    FALSE #> 833     53 0.6747666 0.130004394  fv      Gamma        Cox, Gamma    FALSE #> 849     54 0.5300899 0.104816453  fv      Gamma        Cox, Gamma    FALSE #> 865     55 0.7787970 0.147506719  fv      Gamma        Cox, Gamma    FALSE #> 881     56 0.7118185 0.137916725  fv      Gamma        Cox, Gamma    FALSE #> 897     57 0.7858698 0.147909226  fv      Gamma        Cox, Gamma    FALSE #> 913     58 0.6599301 0.129157781  fv      Gamma        Cox, Gamma    FALSE #> 929     59 0.7204171 0.137316794  fv      Gamma        Cox, Gamma    FALSE #> 945     60 0.7932676 0.149975681  fv      Gamma        Cox, Gamma    FALSE #> 961     61 0.6694679 0.127685261  fv      Gamma        Cox, Gamma    FALSE #> 977     62 0.6581751 0.128702271  fv      Gamma        Cox, Gamma    FALSE #> 993     63 0.8591200 0.161433261  fv      Gamma        Cox, Gamma    FALSE #> 1009    64 0.6534059 0.125264584  fv      Gamma        Cox, Gamma    FALSE #> 1025    65 0.6942950 0.131759071  fv      Gamma        Cox, Gamma    FALSE #> 1041    66 0.5443571 0.107289026  fv      Gamma        Cox, Gamma    FALSE #> 1057    67 0.8156791 0.152361675  fv      Gamma        Cox, Gamma    FALSE #> 1073    68 0.7439907 0.141612286  fv      Gamma        Cox, Gamma    FALSE #> 1089    69 0.5563484 0.109062941  fv      Gamma        Cox, Gamma    FALSE #> 1105    70 0.7094223 0.138731564  fv      Gamma        Cox, Gamma    FALSE #> 1121    71 0.9385094 0.173908062  fv      Gamma        Cox, Gamma    FALSE #> 1137    72 0.6524139 0.125365577  fv      Gamma        Cox, Gamma    FALSE #> 1153    73 0.4720556 0.093786069  fv      Gamma        Cox, Gamma    FALSE #> 1169    74 0.6739725 0.128962357  fv      Gamma        Cox, Gamma    FALSE #> 1185    75 0.6948754 0.133454468  fv      Gamma        Cox, Gamma    FALSE #> 1201    76 0.6981009 0.137070297  fv      Gamma        Cox, Gamma    FALSE #> 1217    77 0.7876992 0.150774294  fv      Gamma        Cox, Gamma    FALSE #> 1233    78 1.0321320 0.191564904  fv      Gamma        Cox, Gamma    FALSE #> 1249    79 1.3305115 0.241107247  fv      Gamma        Cox, Gamma     TRUE #> 1265    80 0.6233959          NA  fv      Gamma        Cox, Gamma       NA #> 1281    81 0.9222954 0.175122280  fv      Gamma        Cox, Gamma    FALSE #> 1297    82 0.7312982 0.138898303  fv      Gamma        Cox, Gamma    FALSE #> 1313    83 0.4805826 0.099069389  fv      Gamma        Cox, Gamma    FALSE #> 1329    84 0.7162687 0.135900182  fv      Gamma        Cox, Gamma    FALSE #> 1345    85 0.7361328 0.139875756  fv      Gamma        Cox, Gamma    FALSE #> 1361    86 0.7164863 0.136540922  fv      Gamma        Cox, Gamma    FALSE #> 1377    87 0.5816154 0.112900191  fv      Gamma        Cox, Gamma    FALSE #> 1393    88 0.7229512 0.137090004  fv      Gamma        Cox, Gamma    FALSE #> 1409    89 0.7304707 0.138664712  fv      Gamma        Cox, Gamma    FALSE #> 1425    90 0.8836079 0.164198901  fv      Gamma        Cox, Gamma    FALSE #> 1441    91 0.7189481          NA  fv      Gamma        Cox, Gamma       NA #> 1457    92 0.6588464 0.126022294  fv      Gamma        Cox, Gamma    FALSE #> 1473    93 0.9816849 0.189387187  fv      Gamma        Cox, Gamma    FALSE #> 1489    94 0.8230985 0.157285147  fv      Gamma        Cox, Gamma    FALSE #> 1505    95 0.7466798 0.141511812  fv      Gamma        Cox, Gamma    FALSE #> 1521    96 0.4641167 0.092989583  fv      Gamma        Cox, Gamma    FALSE #> 1537    97 0.5859572 0.113349778  fv      Gamma        Cox, Gamma    FALSE #> 1553    98 0.8012617 0.151058934  fv      Gamma        Cox, Gamma    FALSE #> 1569    99 0.5711848 0.112322499  fv      Gamma        Cox, Gamma    FALSE #> 1585   100 0.8500351 0.158095260  fv      Gamma        Cox, Gamma    FALSE #> 1601   101 0.8357950 0.155451666  fv      Gamma        Cox, Gamma    FALSE #> 1617   102 0.7019364 0.133488910  fv      Gamma        Cox, Gamma    FALSE #> 1633   103 0.8787124 0.167784796  fv      Gamma        Cox, Gamma    FALSE #> 1649   104 0.7382161 0.139205129  fv      Gamma        Cox, Gamma    FALSE #> 1665   105 0.8438084 0.159385939  fv      Gamma        Cox, Gamma    FALSE #> 1681   106 0.7100979 0.135186030  fv      Gamma        Cox, Gamma    FALSE #> 1697   107 0.8909452 0.169147434  fv      Gamma        Cox, Gamma    FALSE #> 1713   108 0.7774559 0.150824798  fv      Gamma        Cox, Gamma    FALSE #> 1729   109 0.6953965 0.134268584  fv      Gamma        Cox, Gamma    FALSE #> 1745   110 0.7992946 0.150758285  fv      Gamma        Cox, Gamma    FALSE #> 1761   111 0.8471403 0.159125513  fv      Gamma        Cox, Gamma    FALSE #> 1777   112 0.4643017 0.092950661  fv      Gamma        Cox, Gamma    FALSE #> 1793   113 0.5483133 0.107644803  fv      Gamma        Cox, Gamma    FALSE #> 1809   114 1.1737434 0.213064251  fv      Gamma        Cox, Gamma     TRUE #> 1825   115 0.6447690 0.123844155  fv      Gamma        Cox, Gamma    FALSE #> 1841   116 0.5122411 0.101175678  fv      Gamma        Cox, Gamma    FALSE #> 1857   117 0.7563907 0.142289904  fv      Gamma        Cox, Gamma    FALSE #> 1873   118 0.5579905 0.109454501  fv      Gamma        Cox, Gamma    FALSE #> 1889   119 0.6022598 0.116858325  fv      Gamma        Cox, Gamma    FALSE #> 1905   120 0.7124728 0.135859121  fv      Gamma        Cox, Gamma    FALSE #> 1921   121 0.6402494 0.124028005  fv      Gamma        Cox, Gamma    FALSE #> 1937   122 0.6346064 0.122733103  fv      Gamma        Cox, Gamma    FALSE #> 1953   123 0.7902516 0.149333148  fv      Gamma        Cox, Gamma    FALSE #> 1969   124 0.7329650 0.138554104  fv      Gamma        Cox, Gamma    FALSE #> 1985   125 0.8161002 0.155025922  fv      Gamma        Cox, Gamma    FALSE #> 2001   126 0.9990640 0.191074644  fv      Gamma        Cox, Gamma    FALSE #> 2017   127 0.8700787 0.162375752  fv      Gamma        Cox, Gamma    FALSE #> 2033   128 0.8619723 0.161242325  fv      Gamma        Cox, Gamma    FALSE #> 2049   129 0.5981983 0.118892839  fv      Gamma        Cox, Gamma    FALSE #> 2065   130 0.6716077 0.128978878  fv      Gamma        Cox, Gamma    FALSE #> 2081   131 0.6123596 0.117347356  fv      Gamma        Cox, Gamma    FALSE #> 2097   132 0.7632396 0.147960034  fv      Gamma        Cox, Gamma    FALSE #> 2113   133 0.7684878 0.147084782  fv      Gamma        Cox, Gamma    FALSE #> 2129   134 0.7563895 0.143358097  fv      Gamma        Cox, Gamma    FALSE #> 2145   135 0.5840973 0.113775282  fv      Gamma        Cox, Gamma    FALSE #> 2161   136 0.8139715 0.154214677  fv      Gamma        Cox, Gamma    FALSE #> 2177   137 0.8279570 0.155323396  fv      Gamma        Cox, Gamma    FALSE #> 2193   138 0.9684096 0.181892869  fv      Gamma        Cox, Gamma    FALSE #> 2209   139 0.6380475 0.122896692  fv      Gamma        Cox, Gamma    FALSE #> 2225   140 0.7126356          NA  fv      Gamma        Cox, Gamma       NA #> 2241   141 0.5544497 0.005829212  fv      Gamma        Cox, Gamma     TRUE #> 2257   142 0.6984548 0.133299410  fv      Gamma        Cox, Gamma    FALSE #> 2273   143 1.1447313 0.218348635  fv      Gamma        Cox, Gamma     TRUE #> 2289   144 0.8534851 0.158864910  fv      Gamma        Cox, Gamma    FALSE #> 2305   145 0.6954310 0.132985154  fv      Gamma        Cox, Gamma    FALSE #> 2321   146 0.6862429 0.131920086  fv      Gamma        Cox, Gamma    FALSE #> 2337   147 0.8487307 0.158487657  fv      Gamma        Cox, Gamma    FALSE #> 2353   148 0.5181133 0.101967871  fv      Gamma        Cox, Gamma    FALSE #> 2369   149 0.6841244 0.131624816  fv      Gamma        Cox, Gamma    FALSE #> 2385   150 0.8869154 0.165727435  fv      Gamma        Cox, Gamma    FALSE #> 2401   151 0.8331944 0.156397071  fv      Gamma        Cox, Gamma    FALSE #> 2417   152 0.7961492 0.152467958  fv      Gamma        Cox, Gamma    FALSE #> 2433   153 0.4915269 0.097749704  fv      Gamma        Cox, Gamma    FALSE #> 2449   154 0.8353449 0.156425229  fv      Gamma        Cox, Gamma    FALSE #> 2465   155 0.6917804 0.135298989  fv      Gamma        Cox, Gamma    FALSE #> 2481   156 0.7141483 0.135622707  fv      Gamma        Cox, Gamma    FALSE #> 2497   157 0.9579114 0.180865947  fv      Gamma        Cox, Gamma    FALSE #> 2513   158 0.9919173 0.186831104  fv      Gamma        Cox, Gamma    FALSE #> 2529   159 0.5056687 0.100572196  fv      Gamma        Cox, Gamma    FALSE #> 2545   160 0.5668849 0.110729771  fv      Gamma        Cox, Gamma    FALSE #> 2561   161 1.1593267 0.211623189  fv      Gamma        Cox, Gamma     TRUE #> 2577   162 0.6686198 0.129654468  fv      Gamma        Cox, Gamma    FALSE #> 2593   163 0.5947095 0.115432055  fv      Gamma        Cox, Gamma    FALSE #> 2609   164 0.9409729 0.174195456  fv      Gamma        Cox, Gamma    FALSE #> 2625   165 0.7712525 0.145156218  fv      Gamma        Cox, Gamma    FALSE #> 2641   166 0.7944783 0.152945382  fv      Gamma        Cox, Gamma    FALSE #> 2657   167 0.8759279 0.163421782  fv      Gamma        Cox, Gamma    FALSE #> 2673   168 0.9305016 0.172681632  fv      Gamma        Cox, Gamma    FALSE #> 2689   169 0.6998018 0.134466938  fv      Gamma        Cox, Gamma    FALSE #> 2705   170 0.6956819 0.133436242  fv      Gamma        Cox, Gamma    FALSE #> 2721   171 0.6792319 0.131731221  fv      Gamma        Cox, Gamma    FALSE #> 2737   172 0.8680243 0.162039061  fv      Gamma        Cox, Gamma    FALSE #> 2753   173 0.5991408 0.117150299  fv      Gamma        Cox, Gamma    FALSE #> 2769   174 0.8197266 0.154957877  fv      Gamma        Cox, Gamma    FALSE #> 2785   175 0.6402142 0.124225276  fv      Gamma        Cox, Gamma    FALSE #> 2801   176 0.6677623 0.127397054  fv      Gamma        Cox, Gamma    FALSE #> 2817   177 0.5600635 0.111041351  fv      Gamma        Cox, Gamma    FALSE #> 2833   178 0.8664575 0.161085253  fv      Gamma        Cox, Gamma    FALSE #> 2849   179 0.5696270 0.110580250  fv      Gamma        Cox, Gamma    FALSE #> 2865   180 0.7490451 0.145597001  fv      Gamma        Cox, Gamma    FALSE #> 2881   181 0.8332298 0.156165685  fv      Gamma        Cox, Gamma    FALSE #> 2897   182 0.7299111 0.138267866  fv      Gamma        Cox, Gamma    FALSE #> 2913   183 0.5643054 0.109921943  fv      Gamma        Cox, Gamma    FALSE #> 2929   184 0.6713498 0.129903821  fv      Gamma        Cox, Gamma    FALSE #> 2945   185 0.8565735 0.161036493  fv      Gamma        Cox, Gamma    FALSE #> 2961   186 0.9053793 0.172727818  fv      Gamma        Cox, Gamma    FALSE #> 2977   187 0.7412392 0.141072766  fv      Gamma        Cox, Gamma    FALSE #> 2993   188 0.5539059 0.108329615  fv      Gamma        Cox, Gamma    FALSE #> 3009   189 0.7630802 0.144798954  fv      Gamma        Cox, Gamma    FALSE #> 3025   190 0.7739996 0.145679338  fv      Gamma        Cox, Gamma    FALSE #> 3041   191 0.7531330 0.142505520  fv      Gamma        Cox, Gamma    FALSE #> 3057   192 0.7746974 0.149498584  fv      Gamma        Cox, Gamma    FALSE #> 3073   193 0.6405375 0.123698525  fv      Gamma        Cox, Gamma    FALSE #> 3089   194 0.5955132 0.115145832  fv      Gamma        Cox, Gamma    FALSE #> 3105   195 0.8745908 0.162591705  fv      Gamma        Cox, Gamma    FALSE #> 3121   196 0.8178457 0.154589268  fv      Gamma        Cox, Gamma    FALSE #> 3137   197 0.7511736 0.141661815  fv      Gamma        Cox, Gamma    FALSE #> 3153   198 0.7769079 0.146017528  fv      Gamma        Cox, Gamma    FALSE #> 3169   199 0.5582030 0.109200412  fv      Gamma        Cox, Gamma    FALSE #> 3185   200 0.8259496 0.154374691  fv      Gamma        Cox, Gamma    FALSE #> 3201   201 0.7413535 0.141501117  fv      Gamma        Cox, Gamma    FALSE #> 3217   202 0.7883145 0.147891265  fv      Gamma        Cox, Gamma    FALSE #> 3233   203 0.7376850 0.139098696  fv      Gamma        Cox, Gamma    FALSE #> 3249   204 0.7431473 0.145125912  fv      Gamma        Cox, Gamma    FALSE #> 3265   205 0.5968534 0.116380154  fv      Gamma        Cox, Gamma    FALSE #> 3281   206 0.7364319 0.139955581  fv      Gamma        Cox, Gamma    FALSE #> 3297   207 0.5674448 0.110932711  fv      Gamma        Cox, Gamma    FALSE #> 3313   208 0.7440635 0.141631276  fv      Gamma        Cox, Gamma    FALSE #> 3329   209 0.6788077 0.130198366  fv      Gamma        Cox, Gamma    FALSE #> 3345   210 0.6888451 0.132771993  fv      Gamma        Cox, Gamma    FALSE #> 3361   211 0.9803778 0.184836601  fv      Gamma        Cox, Gamma    FALSE #> 3377   212 0.7256449 0.141318320  fv      Gamma        Cox, Gamma    FALSE #> 3393   213 0.8183619 0.154776877  fv      Gamma        Cox, Gamma    FALSE #> 3409   214 0.6497936 0.125621597  fv      Gamma        Cox, Gamma    FALSE #> 3425   215 0.8793079 0.164432320  fv      Gamma        Cox, Gamma    FALSE #> 3441   216 0.9162205 0.170569691  fv      Gamma        Cox, Gamma    FALSE #> 3457   217 0.6777625 0.131187108  fv      Gamma        Cox, Gamma    FALSE #> 3473   218 0.6131194 0.119393013  fv      Gamma        Cox, Gamma    FALSE #> 3489   219 0.8569040 0.162515848  fv      Gamma        Cox, Gamma    FALSE #> 3505   220 0.5628894 0.109933688  fv      Gamma        Cox, Gamma    FALSE #> 3521   221 0.7097276 0.136447984  fv      Gamma        Cox, Gamma    FALSE #> 3537   222 0.7727905 0.147170732  fv      Gamma        Cox, Gamma    FALSE #> 3553   223 0.7964844 0.154284092  fv      Gamma        Cox, Gamma    FALSE #> 3569   224 0.7614475 0.144615174  fv      Gamma        Cox, Gamma    FALSE #> 3585   225 0.6722549 0.129075014  fv      Gamma        Cox, Gamma    FALSE #> 3601   226 0.8333519 0.160111938  fv      Gamma        Cox, Gamma    FALSE #> 3617   227 0.6560251 0.126793123  fv      Gamma        Cox, Gamma    FALSE #> 3633   228 0.8900574 0.165684363  fv      Gamma        Cox, Gamma    FALSE #> 3649   229 0.7783440 0.147316655  fv      Gamma        Cox, Gamma    FALSE #> 3665   230 0.7010892 0.133597427  fv      Gamma        Cox, Gamma    FALSE #> 3681   231 0.7965352 0.151151697  fv      Gamma        Cox, Gamma    FALSE #> 3697   232 0.7331452 0.142033787  fv      Gamma        Cox, Gamma    FALSE #> 3713   233 0.8746416 0.164268652  fv      Gamma        Cox, Gamma    FALSE #> 3729   234 0.6285312 0.121126267  fv      Gamma        Cox, Gamma    FALSE #> 3745   235 0.7432271 0.143094417  fv      Gamma        Cox, Gamma    FALSE #> 3761   236 0.4979838 0.099104026  fv      Gamma        Cox, Gamma    FALSE #> 3777   237 0.6728080 0.130707771  fv      Gamma        Cox, Gamma    FALSE #> 3793   238 0.5840668 0.114928913  fv      Gamma        Cox, Gamma    FALSE #> 3809   239 0.7097176 0.134414945  fv      Gamma        Cox, Gamma    FALSE #> 3825   240 0.8599517 0.164169343  fv      Gamma        Cox, Gamma    FALSE #> 3841   241 0.6564593 0.126134874  fv      Gamma        Cox, Gamma    FALSE #> 3857   242 0.5141763 0.101693306  fv      Gamma        Cox, Gamma    FALSE #> 3873   243 0.8631191 0.166522993  fv      Gamma        Cox, Gamma    FALSE #> 3889   244 0.5648038 0.110152544  fv      Gamma        Cox, Gamma    FALSE #> 3905   245 0.9067207 0.169979694  fv      Gamma        Cox, Gamma    FALSE #> 3921   246 0.6699933 0.127877304  fv      Gamma        Cox, Gamma    FALSE #> 3937   247 0.7658413 0.145211179  fv      Gamma        Cox, Gamma    FALSE #> 3953   248 0.9431198 0.174221858  fv      Gamma        Cox, Gamma    FALSE #> 3969   249 0.9559739 0.179913652  fv      Gamma        Cox, Gamma    FALSE #> 3985   250 0.7309363 0.139895733  fv      Gamma        Cox, Gamma    FALSE #> 4001   251 0.7953055 0.152686790  fv      Gamma        Cox, Gamma    FALSE #> 4017   252 0.8009815 0.153887446  fv      Gamma        Cox, Gamma    FALSE #> 4033   253 0.9063613 0.176153220  fv      Gamma        Cox, Gamma    FALSE #> 4049   254 0.5192107 0.101929593  fv      Gamma        Cox, Gamma    FALSE #> 4065   255 0.7741374 0.145083036  fv      Gamma        Cox, Gamma    FALSE #> 4081   256 0.7237488 0.138470282  fv      Gamma        Cox, Gamma    FALSE #> 4097   257 0.5354834 0.104354126  fv      Gamma        Cox, Gamma    FALSE #> 4113   258 0.7012728 0.138891396  fv      Gamma        Cox, Gamma    FALSE #> 4129   259 0.7423993 0.141143911  fv      Gamma        Cox, Gamma    FALSE #> 4145   260 0.8676835 0.162799994  fv      Gamma        Cox, Gamma    FALSE #> 4161   261 0.4985565 0.098347563  fv      Gamma        Cox, Gamma    FALSE #> 4177   262 0.7309571 0.140660952  fv      Gamma        Cox, Gamma    FALSE #> 4193   263 0.6045868 0.117674653  fv      Gamma        Cox, Gamma    FALSE #> 4209   264 0.5101925 0.100166533  fv      Gamma        Cox, Gamma    FALSE #> 4225   265 0.5926958 0.114423413  fv      Gamma        Cox, Gamma    FALSE #> 4241   266 0.6141473 0.118472417  fv      Gamma        Cox, Gamma    FALSE #> 4257   267 0.7089350 0.135707003  fv      Gamma        Cox, Gamma    FALSE #> 4273   268 0.7461537 0.141208361  fv      Gamma        Cox, Gamma    FALSE #> 4289   269 1.0603612 0.198754812  fv      Gamma        Cox, Gamma    FALSE #> 4305   270 0.9058827 0.173864681  fv      Gamma        Cox, Gamma    FALSE #> 4321   271 0.8913131 0.167006421  fv      Gamma        Cox, Gamma    FALSE #> 4337   272 0.5385219 0.106340887  fv      Gamma        Cox, Gamma    FALSE #> 4353   273 0.6611358 0.127691135  fv      Gamma        Cox, Gamma    FALSE #> 4369   274 0.7211689 0.136721186  fv      Gamma        Cox, Gamma    FALSE #> 4385   275 0.8557535 0.159471673  fv      Gamma        Cox, Gamma    FALSE #> 4401   276 0.8100907 0.155893661  fv      Gamma        Cox, Gamma    FALSE #> 4417   277 0.6766183 0.128987177  fv      Gamma        Cox, Gamma    FALSE #> 4433   278 0.7339860 0.138921953  fv      Gamma        Cox, Gamma    FALSE #> 4449   279 0.7292968 0.138338078  fv      Gamma        Cox, Gamma    FALSE #> 4465   280 0.7607655 0.143846232  fv      Gamma        Cox, Gamma    FALSE #> 4481   281 1.0222759 0.191682241  fv      Gamma        Cox, Gamma    FALSE #> 4497   282 0.6012837 0.116686105  fv      Gamma        Cox, Gamma    FALSE #> 4513   283 0.8065287 0.008370025  fv      Gamma        Cox, Gamma     TRUE #> 4529   284 0.6538202 0.125329340  fv      Gamma        Cox, Gamma    FALSE #> 4545   285 0.5004678 0.098826427  fv      Gamma        Cox, Gamma    FALSE #> 4561   286 0.7617749 0.144340603  fv      Gamma        Cox, Gamma    FALSE #> 4577   287 0.6411900 0.124111128  fv      Gamma        Cox, Gamma    FALSE #> 4593   288 1.2156838 0.222204393  fv      Gamma        Cox, Gamma     TRUE #> 4609   289 0.6293359 0.121873921  fv      Gamma        Cox, Gamma    FALSE #> 4625   290 0.5973796 0.115942379  fv      Gamma        Cox, Gamma    FALSE #> 4641   291 0.6142454          NA  fv      Gamma        Cox, Gamma       NA #> 4657   292 0.6275111 0.121149223  fv      Gamma        Cox, Gamma    FALSE #> 4673   293 0.8857171 0.166063448  fv      Gamma        Cox, Gamma    FALSE #> 4689   294 0.6322969 0.122255267  fv      Gamma        Cox, Gamma    FALSE #> 4705   295 1.0640640 0.195201183  fv      Gamma        Cox, Gamma    FALSE #> 4721   296 0.7341485 0.140160744  fv      Gamma        Cox, Gamma    FALSE #> 4737   297 1.1991235 0.216487970  fv      Gamma        Cox, Gamma     TRUE #> 4753   298 0.5712964 0.111273754  fv      Gamma        Cox, Gamma    FALSE #> 4769   299 0.5672383 0.111172863  fv      Gamma        Cox, Gamma    FALSE #> 4785   300 0.8495776 0.158426390  fv      Gamma        Cox, Gamma    FALSE #> 4801   301 0.5310383 0.104267983  fv      Gamma        Cox, Gamma    FALSE #> 4817   302 0.7523369 0.141562397  fv      Gamma        Cox, Gamma    FALSE #> 4833   303 0.6689623 0.129247470  fv      Gamma        Cox, Gamma    FALSE #> 4849   304 0.7352516 0.140697289  fv      Gamma        Cox, Gamma    FALSE #> 4865   305 0.8685145 0.162232921  fv      Gamma        Cox, Gamma    FALSE #> 4881   306 0.7403740 0.140931785  fv      Gamma        Cox, Gamma    FALSE #> 4897   307 0.7625273 0.146362956  fv      Gamma        Cox, Gamma    FALSE #> 4913   308 0.6529047 0.125331572  fv      Gamma        Cox, Gamma    FALSE #> 4929   309 0.7335789 0.138755400  fv      Gamma        Cox, Gamma    FALSE #> 4945   310 1.0352441 0.191706968  fv      Gamma        Cox, Gamma    FALSE #> 4961   311 0.8210888 0.154167236  fv      Gamma        Cox, Gamma    FALSE #> 4977   312 1.1316319 0.214506331  fv      Gamma        Cox, Gamma     TRUE #> 4993   313 0.7858570 0.148363040  fv      Gamma        Cox, Gamma    FALSE #> 5009   314 0.6270082 0.121419429  fv      Gamma        Cox, Gamma    FALSE #> 5025   315 0.7580926 0.143019862  fv      Gamma        Cox, Gamma    FALSE #> 5041   316 1.0442184 0.191879128  fv      Gamma        Cox, Gamma    FALSE #> 5057   317 0.6437053 0.124174313  fv      Gamma        Cox, Gamma    FALSE #> 5073   318 0.8451586 0.162886989  fv      Gamma        Cox, Gamma    FALSE #> 5089   319 0.6154748 0.119202669  fv      Gamma        Cox, Gamma    FALSE #> 5105   320 0.6052390 0.117161496  fv      Gamma        Cox, Gamma    FALSE #> 5121   321 0.8562321 0.161151124  fv      Gamma        Cox, Gamma    FALSE #> 5137   322 0.5475235 0.107601448  fv      Gamma        Cox, Gamma    FALSE #> 5153   323 0.8516726 0.159610025  fv      Gamma        Cox, Gamma    FALSE #> 5169   324 0.6284455 0.122771029  fv      Gamma        Cox, Gamma    FALSE #> 5185   325 0.7340504 0.139368912  fv      Gamma        Cox, Gamma    FALSE #> 5201   326 0.7039394 0.134465568  fv      Gamma        Cox, Gamma    FALSE #> 5217   327 0.7570131 0.143284492  fv      Gamma        Cox, Gamma    FALSE #> 5233   328 1.0241436 0.191230022  fv      Gamma        Cox, Gamma    FALSE #> 5249   329 0.8762071 0.165668652  fv      Gamma        Cox, Gamma    FALSE #> 5265   330 0.6943285 0.133117878  fv      Gamma        Cox, Gamma    FALSE #> 5281   331 0.8439616 0.157763791  fv      Gamma        Cox, Gamma    FALSE #> 5297   332 0.5597510 0.110415552  fv      Gamma        Cox, Gamma    FALSE #> 5313   333 0.5408626 0.105579808  fv      Gamma        Cox, Gamma    FALSE #> 5329   334 0.9467958 0.173919137  fv      Gamma        Cox, Gamma    FALSE #> 5345   335 0.7653749 0.145590511  fv      Gamma        Cox, Gamma    FALSE #> 5361   336 0.4797265 0.096031622  fv      Gamma        Cox, Gamma    FALSE #> 5377   337 0.6413684 0.124650010  fv      Gamma        Cox, Gamma    FALSE #> 5393   338 0.6035586          NA  fv      Gamma        Cox, Gamma       NA #> 5409   339 0.8262291 0.156546194  fv      Gamma        Cox, Gamma    FALSE #> 5425   340 0.7801398 0.152957082  fv      Gamma        Cox, Gamma    FALSE #> 5441   341 0.5609456 0.109188392  fv      Gamma        Cox, Gamma    FALSE #> 5457   342 0.4505560 0.089857208  fv      Gamma        Cox, Gamma    FALSE #> 5473   343 0.6379761 0.123470515  fv      Gamma        Cox, Gamma    FALSE #> 5489   344 0.9821211 0.184488378  fv      Gamma        Cox, Gamma    FALSE #> 5505   345 0.8685154 0.163017679  fv      Gamma        Cox, Gamma    FALSE #> 5521   346 0.7913166 0.148203721  fv      Gamma        Cox, Gamma    FALSE #> 5537   347 0.7336193 0.139101579  fv      Gamma        Cox, Gamma    FALSE #> 5553   348 0.9254888 0.171694360  fv      Gamma        Cox, Gamma    FALSE #> 5569   349 0.8488816 0.159294203  fv      Gamma        Cox, Gamma    FALSE #> 5585   350 0.8160615 0.152965564  fv      Gamma        Cox, Gamma    FALSE #> 5601   351 0.8759466 0.167886380  fv      Gamma        Cox, Gamma    FALSE #> 5617   352 0.7981894 0.153964217  fv      Gamma        Cox, Gamma    FALSE #> 5633   353 0.5791672 0.113057885  fv      Gamma        Cox, Gamma    FALSE #> 5649   354 0.7416095 0.141018326  fv      Gamma        Cox, Gamma    FALSE #> 5665   355 0.8010796 0.149943272  fv      Gamma        Cox, Gamma    FALSE #> 5681   356 0.8282803 0.158193917  fv      Gamma        Cox, Gamma    FALSE #> 5697   357 0.6938562 0.132663709  fv      Gamma        Cox, Gamma    FALSE #> 5713   358 0.6402635 0.122101470  fv      Gamma        Cox, Gamma    FALSE #> 5729   359 0.6742980 0.132978427  fv      Gamma        Cox, Gamma    FALSE #> 5745   360 0.6040056 0.117051665  fv      Gamma        Cox, Gamma    FALSE #> 5761   361 0.9421937 0.178772166  fv      Gamma        Cox, Gamma    FALSE #> 5777   362 0.4601477 0.091085384  fv      Gamma        Cox, Gamma    FALSE #> 5793   363 0.7026636 0.135100787  fv      Gamma        Cox, Gamma    FALSE #> 5809   364 0.5302217 0.104442908  fv      Gamma        Cox, Gamma    FALSE #> 5825   365 0.7690703 0.150669849  fv      Gamma        Cox, Gamma    FALSE #> 5841   366 0.8267876 0.157050939  fv      Gamma        Cox, Gamma    FALSE #> 5857   367 0.8874453 0.165351401  fv      Gamma        Cox, Gamma    FALSE #> 5873   368 0.8804541 0.171672792  fv      Gamma        Cox, Gamma    FALSE #> 5889   369 0.5558909 0.108356937  fv      Gamma        Cox, Gamma    FALSE #> 5905   370 0.5224601 0.102908943  fv      Gamma        Cox, Gamma    FALSE #> 5921   371 0.8876388 0.168386174  fv      Gamma        Cox, Gamma    FALSE #> 5937   372 0.6286268 0.125304837  fv      Gamma        Cox, Gamma    FALSE #> 5953   373 0.6690070 0.127890066  fv      Gamma        Cox, Gamma    FALSE #> 5969   374 0.6330213 0.122146795  fv      Gamma        Cox, Gamma    FALSE #> 5985   375 0.6227287 0.120453980  fv      Gamma        Cox, Gamma    FALSE #> 6001   376 0.6703751 0.129140001  fv      Gamma        Cox, Gamma    FALSE #> 6017   377 0.8079140 0.155596402  fv      Gamma        Cox, Gamma    FALSE #> 6033   378 0.7798553 0.146544187  fv      Gamma        Cox, Gamma    FALSE #> 6049   379 0.6475737 0.124463927  fv      Gamma        Cox, Gamma    FALSE #> 6065   380 0.7688097 0.145489816  fv      Gamma        Cox, Gamma    FALSE #> 6081   381 0.6649357 0.128253722  fv      Gamma        Cox, Gamma    FALSE #> 6097   382 0.6807352 0.130459416  fv      Gamma        Cox, Gamma    FALSE #> 6113   383 1.0192008 0.186327756  fv      Gamma        Cox, Gamma    FALSE #> 6129   384 0.8434297 0.158539964  fv      Gamma        Cox, Gamma    FALSE #> 6145   385 0.5428752 0.106117665  fv      Gamma        Cox, Gamma    FALSE #> 6161   386 0.3967401 0.081332469  fv      Gamma        Cox, Gamma    FALSE #> 6177   387 0.5406499 0.105272643  fv      Gamma        Cox, Gamma    FALSE #> 6193   388 0.6602657 0.126552615  fv      Gamma        Cox, Gamma    FALSE #> 6209   389 0.5332555 0.104791180  fv      Gamma        Cox, Gamma    FALSE #> 6225   390 0.6045228 0.117241227  fv      Gamma        Cox, Gamma    FALSE #> 6241   391 0.4999031          NA  fv      Gamma        Cox, Gamma       NA #> 6257   392 0.9248187 0.171305899  fv      Gamma        Cox, Gamma    FALSE #> 6273   393 0.5798027 0.113219618  fv      Gamma        Cox, Gamma    FALSE #> 6289   394 0.8907170 0.167374282  fv      Gamma        Cox, Gamma    FALSE #> 6305   395 0.7016240 0.135025361  fv      Gamma        Cox, Gamma    FALSE #> 6321   396 0.7121455 0.139294610  fv      Gamma        Cox, Gamma    FALSE #> 6337   397 0.8229104 0.153784172  fv      Gamma        Cox, Gamma    FALSE #> 6353   398 0.7712521 0.146309386  fv      Gamma        Cox, Gamma    FALSE #> 6369   399 0.6190504 0.119937746  fv      Gamma        Cox, Gamma    FALSE #> 6385   400 0.6672967 0.128315064  fv      Gamma        Cox, Gamma    FALSE #> 6401   401 0.8584411 0.163304952  fv      Gamma        Cox, Gamma    FALSE #> 6417   402 0.7225680 0.141193789  fv      Gamma        Cox, Gamma    FALSE #> 6433   403 0.6821864 0.130069717  fv      Gamma        Cox, Gamma    FALSE #> 6449   404 0.8921011 0.169978122  fv      Gamma        Cox, Gamma    FALSE #> 6465   405 0.6364897 0.121986924  fv      Gamma        Cox, Gamma    FALSE #> 6481   406 0.6312721 0.122132709  fv      Gamma        Cox, Gamma    FALSE #> 6497   407 0.7537675 0.143468500  fv      Gamma        Cox, Gamma    FALSE #> 6513   408 0.4830750 0.100264446  fv      Gamma        Cox, Gamma    FALSE #> 6529   409 0.9120263 0.168875217  fv      Gamma        Cox, Gamma    FALSE #> 6545   410 0.9317740 0.176472419  fv      Gamma        Cox, Gamma    FALSE #> 6561   411 0.7853073 0.155061040  fv      Gamma        Cox, Gamma    FALSE #> 6577   412 0.6760708 0.129238258  fv      Gamma        Cox, Gamma    FALSE #> 6593   413 0.7106746          NA  fv      Gamma        Cox, Gamma       NA #> 6609   414 0.7126918 0.136010675  fv      Gamma        Cox, Gamma    FALSE #> 6625   415 0.8278815 0.154436751  fv      Gamma        Cox, Gamma    FALSE #> 6641   416 0.6144755 0.118999790  fv      Gamma        Cox, Gamma    FALSE #> 6657   417 0.7064656 0.134614387  fv      Gamma        Cox, Gamma    FALSE #> 6673   418 0.7280710 0.138588048  fv      Gamma        Cox, Gamma    FALSE #> 6689   419 0.5977421 0.117049099  fv      Gamma        Cox, Gamma    FALSE #> 6705   420 0.7984141 0.153630576  fv      Gamma        Cox, Gamma    FALSE #> 6721   421 0.7789264 0.146973632  fv      Gamma        Cox, Gamma    FALSE #> 6737   422 0.7189249 0.136830403  fv      Gamma        Cox, Gamma    FALSE #> 6753   423 0.7767172 0.146505554  fv      Gamma        Cox, Gamma    FALSE #> 6769   424 0.6711159 0.129971477  fv      Gamma        Cox, Gamma    FALSE #> 6785   425 0.5421033 0.106506310  fv      Gamma        Cox, Gamma    FALSE #> 6801   426 0.9738877 0.180388841  fv      Gamma        Cox, Gamma    FALSE #> 6817   427 0.4334204 0.087612339  fv      Gamma        Cox, Gamma    FALSE #> 6833   428 0.9192375 0.174367363  fv      Gamma        Cox, Gamma    FALSE #> 6849   429 0.6307533 0.121860719  fv      Gamma        Cox, Gamma    FALSE #> 6865   430 0.5862901 0.113931845  fv      Gamma        Cox, Gamma    FALSE #> 6881   431 0.8326353 0.156104642  fv      Gamma        Cox, Gamma    FALSE #> 6897   432 0.5651382 0.111271681  fv      Gamma        Cox, Gamma    FALSE #> 6913   433 0.7605602 0.146061740  fv      Gamma        Cox, Gamma    FALSE #> 6929   434 0.9151370 0.168917938  fv      Gamma        Cox, Gamma    FALSE #> 6945   435 0.6420012 0.123004617  fv      Gamma        Cox, Gamma    FALSE #> 6961   436 0.8857909 0.167510125  fv      Gamma        Cox, Gamma    FALSE #> 6977   437 0.6462434 0.124127766  fv      Gamma        Cox, Gamma    FALSE #> 6993   438 0.4972460 0.098754303  fv      Gamma        Cox, Gamma    FALSE #> 7009   439 0.6779588 0.130863527  fv      Gamma        Cox, Gamma    FALSE #> 7025   440 0.6825645 0.130306052  fv      Gamma        Cox, Gamma    FALSE #> 7041   441 0.4502677 0.089999523  fv      Gamma        Cox, Gamma    FALSE #> 7057   442 0.8187358 0.153159795  fv      Gamma        Cox, Gamma    FALSE #> 7073   443 0.4864113 0.097415951  fv      Gamma        Cox, Gamma    FALSE #> 7089   444 0.6307093          NA  fv      Gamma        Cox, Gamma       NA #> 7105   445 0.8960691 0.172700705  fv      Gamma        Cox, Gamma    FALSE #> 7121   446 0.7375956 0.139800669  fv      Gamma        Cox, Gamma    FALSE #> 7137   447 0.7060355 0.134536437  fv      Gamma        Cox, Gamma    FALSE #> 7153   448 0.7606137 0.144593023  fv      Gamma        Cox, Gamma    FALSE #> 7169   449 0.8188267 0.152908387  fv      Gamma        Cox, Gamma    FALSE #> 7185   450 0.6649946 0.127035238  fv      Gamma        Cox, Gamma    FALSE #> 7201   451 0.7889763 0.148648185  fv      Gamma        Cox, Gamma    FALSE #> 7217   452 0.5385995 0.106107012  fv      Gamma        Cox, Gamma    FALSE #> 7233   453 0.7976309 0.149294907  fv      Gamma        Cox, Gamma    FALSE #> 7249   454 0.6812803 0.133807496  fv      Gamma        Cox, Gamma    FALSE #> 7265   455 0.7853285 0.148442373  fv      Gamma        Cox, Gamma    FALSE #> 7281   456 0.8013663 0.150752027  fv      Gamma        Cox, Gamma    FALSE #> 7297   457 0.7567226 0.143306581  fv      Gamma        Cox, Gamma    FALSE #> 7313   458 0.8390265 0.158325038  fv      Gamma        Cox, Gamma    FALSE #> 7329   459 0.6846816 0.131871936  fv      Gamma        Cox, Gamma    FALSE #> 7345   460 0.5993262          NA  fv      Gamma        Cox, Gamma       NA #> 7361   461 0.7089733 0.135818026  fv      Gamma        Cox, Gamma    FALSE #> 7377   462 0.9322032 0.176108434  fv      Gamma        Cox, Gamma    FALSE #> 7393   463 0.5899818 0.113578435  fv      Gamma        Cox, Gamma    FALSE #> 7409   464 0.5457337 0.107935854  fv      Gamma        Cox, Gamma    FALSE #> 7425   465 0.6924278 0.131950434  fv      Gamma        Cox, Gamma    FALSE #> 7441   466 0.8586186 0.164067739  fv      Gamma        Cox, Gamma    FALSE #> 7457   467 0.8607295 0.162516222  fv      Gamma        Cox, Gamma    FALSE #> 7473   468 0.5840632 0.113431719  fv      Gamma        Cox, Gamma    FALSE #> 7489   469 0.7721755 0.148974573  fv      Gamma        Cox, Gamma    FALSE #> 7505   470 0.7864966 0.147551158  fv      Gamma        Cox, Gamma    FALSE #> 7521   471 0.6014325 0.116605603  fv      Gamma        Cox, Gamma    FALSE #> 7537   472 0.7782183 0.146490838  fv      Gamma        Cox, Gamma    FALSE #> 7553   473 0.6782043 0.129840010  fv      Gamma        Cox, Gamma    FALSE #> 7569   474 0.6246471 0.122746003  fv      Gamma        Cox, Gamma    FALSE #> 7585   475 1.1066875 0.208302683  fv      Gamma        Cox, Gamma     TRUE #> 7601   476 0.5556522 0.108984002  fv      Gamma        Cox, Gamma    FALSE #> 7617   477 0.8566296 0.159877492  fv      Gamma        Cox, Gamma    FALSE #> 7633   478 0.6815679 0.131090134  fv      Gamma        Cox, Gamma    FALSE #> 7649   479 0.8652759 0.161735280  fv      Gamma        Cox, Gamma    FALSE #> 7665   480 0.7542582 0.144197098  fv      Gamma        Cox, Gamma    FALSE #> 7681   481 0.6792317 0.131026222  fv      Gamma        Cox, Gamma    FALSE #> 7697   482 0.6255814 0.124083667  fv      Gamma        Cox, Gamma    FALSE #> 7713   483 0.6524135 0.127114059  fv      Gamma        Cox, Gamma    FALSE #> 7729   484 0.7084909 0.134146311  fv      Gamma        Cox, Gamma    FALSE #> 7745   485 0.7116749 0.135010465  fv      Gamma        Cox, Gamma    FALSE #> 7761   486 0.5675852 0.111128327  fv      Gamma        Cox, Gamma    FALSE #> 7777   487 0.8227084 0.154214426  fv      Gamma        Cox, Gamma    FALSE #> 7793   488 0.6805839 0.132475141  fv      Gamma        Cox, Gamma    FALSE #> 7809   489 0.8828861 0.168922643  fv      Gamma        Cox, Gamma    FALSE #> 7825   490 1.0616372 0.193890898  fv      Gamma        Cox, Gamma    FALSE #> 7841   491 0.6822397 0.130612568  fv      Gamma        Cox, Gamma    FALSE #> 7857   492 0.8222004 0.155512481  fv      Gamma        Cox, Gamma    FALSE #> 7873   493 0.7750104 0.151083906  fv      Gamma        Cox, Gamma    FALSE #> 7889   494 0.7222312 0.137802429  fv      Gamma        Cox, Gamma    FALSE #> 7905   495 0.7690374 0.146304536  fv      Gamma        Cox, Gamma    FALSE #> 7921   496 0.5161178 0.102242565  fv      Gamma        Cox, Gamma    FALSE #> 7937   497 0.6616442 0.126467428  fv      Gamma        Cox, Gamma    FALSE #> 7953   498 0.6310750 0.122098317  fv      Gamma        Cox, Gamma    FALSE #> 7969   499 0.9368503 0.175074305  fv      Gamma        Cox, Gamma    FALSE #> 7985   500 0.8980660 0.169636790  fv      Gamma        Cox, Gamma    FALSE #> 8001   501 0.6945294 0.132580566  fv      Gamma        Cox, Gamma    FALSE #> 8017   502 0.7586970 0.143861263  fv      Gamma        Cox, Gamma    FALSE #> 8033   503 0.6796761 0.130505602  fv      Gamma        Cox, Gamma    FALSE #> 8049   504 0.8750771 0.162492220  fv      Gamma        Cox, Gamma    FALSE #> 8065   505 0.9242294 0.173034278  fv      Gamma        Cox, Gamma    FALSE #> 8081   506 0.6642908 0.127078492  fv      Gamma        Cox, Gamma    FALSE #> 8097   507 0.6220734 0.120661088  fv      Gamma        Cox, Gamma    FALSE #> 8113   508 0.6638922 0.127459533  fv      Gamma        Cox, Gamma    FALSE #> 8129   509 0.7011241 0.133602323  fv      Gamma        Cox, Gamma    FALSE #> 8145   510 0.9146957 0.169745733  fv      Gamma        Cox, Gamma    FALSE #> 8161   511 0.7417783 0.141579855  fv      Gamma        Cox, Gamma    FALSE #> 8177   512 0.8087679 0.152328374  fv      Gamma        Cox, Gamma    FALSE #> 8193   513 0.5954906 0.116001360  fv      Gamma        Cox, Gamma    FALSE #> 8209   514 0.6569979 0.126927260  fv      Gamma        Cox, Gamma    FALSE #> 8225   515 0.6212970 0.120107176  fv      Gamma        Cox, Gamma    FALSE #> 8241   516 0.7542450 0.144369845  fv      Gamma        Cox, Gamma    FALSE #> 8257   517 0.7857159 0.148313320  fv      Gamma        Cox, Gamma    FALSE #> 8273   518 0.8537068 0.158622013  fv      Gamma        Cox, Gamma    FALSE #> 8289   519 0.7034337 0.134310592  fv      Gamma        Cox, Gamma    FALSE #> 8305   520 0.6197376 0.119943182  fv      Gamma        Cox, Gamma    FALSE #> 8321   521 0.5610014 0.109140591  fv      Gamma        Cox, Gamma    FALSE #> 8337   522 0.5438508 0.106296184  fv      Gamma        Cox, Gamma    FALSE #> 8353   523 0.6698531 0.129490382  fv      Gamma        Cox, Gamma    FALSE #> 8369   524 0.6020242 0.117226384  fv      Gamma        Cox, Gamma    FALSE #> 8385   525 1.0516324 0.192496879  fv      Gamma        Cox, Gamma    FALSE #> 8401   526 0.7609652 0.144096404  fv      Gamma        Cox, Gamma    FALSE #> 8417   527 0.6881981 0.133087351  fv      Gamma        Cox, Gamma    FALSE #> 8433   528 0.6054273 0.117775780  fv      Gamma        Cox, Gamma    FALSE #> 8449   529 0.8516933 0.159701160  fv      Gamma        Cox, Gamma    FALSE #> 8465   530 0.8926019 0.166575907  fv      Gamma        Cox, Gamma    FALSE #> 8481   531 0.7916298 0.148159862  fv      Gamma        Cox, Gamma    FALSE #> 8497   532 0.7897519 0.149192705  fv      Gamma        Cox, Gamma    FALSE #> 8513   533 0.7284274 0.138699326  fv      Gamma        Cox, Gamma    FALSE #> 8529   534 0.7790291 0.146354155  fv      Gamma        Cox, Gamma    FALSE #> 8545   535 0.9538809 0.176303899  fv      Gamma        Cox, Gamma    FALSE #> 8561   536 0.8270741 0.154370683  fv      Gamma        Cox, Gamma    FALSE #> 8577   537 0.7138513 0.139534596  fv      Gamma        Cox, Gamma    FALSE #> 8593   538 0.6246478          NA  fv      Gamma        Cox, Gamma       NA #> 8609   539 0.8627532 0.161183355  fv      Gamma        Cox, Gamma    FALSE #> 8625   540 0.7660902 0.149389899  fv      Gamma        Cox, Gamma    FALSE #> 8641   541 0.6295377 0.122597777  fv      Gamma        Cox, Gamma    FALSE #> 8657   542 0.8369873 0.157179557  fv      Gamma        Cox, Gamma    FALSE #> 8673   543 0.9027111 0.167848994  fv      Gamma        Cox, Gamma    FALSE #> 8689   544 0.8231412 0.154281762  fv      Gamma        Cox, Gamma    FALSE #> 8705   545 0.6971651 0.133999902  fv      Gamma        Cox, Gamma    FALSE #> 8721   546 0.6917187 0.132692058  fv      Gamma        Cox, Gamma    FALSE #> 8737   547 0.6612332 0.126891190  fv      Gamma        Cox, Gamma    FALSE #> 8753   548 0.6319194 0.006583581  fv      Gamma        Cox, Gamma     TRUE #> 8769   549 0.8020343 0.153784386  fv      Gamma        Cox, Gamma    FALSE #> 8785   550 0.8857710 0.173416696  fv      Gamma        Cox, Gamma    FALSE #> 8801   551 0.7206925 0.137282217  fv      Gamma        Cox, Gamma    FALSE #> 8817   552 0.5655243 0.111609299  fv      Gamma        Cox, Gamma    FALSE #> 8833   553 0.5894449 0.115099271  fv      Gamma        Cox, Gamma    FALSE #> 8849   554 0.6799194 0.131022822  fv      Gamma        Cox, Gamma    FALSE #> 8865   555 0.5942723 0.116121667  fv      Gamma        Cox, Gamma    FALSE #> 8881   556 0.5409466 0.106333958  fv      Gamma        Cox, Gamma    FALSE #> 8897   557 1.1276785 0.208600321  fv      Gamma        Cox, Gamma     TRUE #> 8913   558 0.8056241 0.152243016  fv      Gamma        Cox, Gamma    FALSE #> 8929   559 0.6165829 0.122550777  fv      Gamma        Cox, Gamma    FALSE #> 8945   560 0.7506013 0.143366986  fv      Gamma        Cox, Gamma    FALSE #> 8961   561 0.7560469 0.142619604  fv      Gamma        Cox, Gamma    FALSE #> 8977   562 0.4475603 0.089294336  fv      Gamma        Cox, Gamma    FALSE #> 8993   563 0.7697251 0.146259739  fv      Gamma        Cox, Gamma    FALSE #> 9009   564 0.7596255 0.143001550  fv      Gamma        Cox, Gamma    FALSE #> 9025   565 0.8209886 0.158901699  fv      Gamma        Cox, Gamma    FALSE #> 9041   566 0.8540708 0.160172577  fv      Gamma        Cox, Gamma    FALSE #> 9057   567 0.7239583 0.138160326  fv      Gamma        Cox, Gamma    FALSE #> 9073   568 0.7918967 0.152246336  fv      Gamma        Cox, Gamma    FALSE #> 9089   569 0.6846417 0.132938759  fv      Gamma        Cox, Gamma    FALSE #> 9105   570 0.7180058 0.136793903  fv      Gamma        Cox, Gamma    FALSE #> 9121   571 0.7534625 0.142541419  fv      Gamma        Cox, Gamma    FALSE #> 9137   572 0.8277711 0.154274630  fv      Gamma        Cox, Gamma    FALSE #> 9153   573 0.5338253 0.105713447  fv      Gamma        Cox, Gamma    FALSE #> 9169   574 0.8516856 0.162398703  fv      Gamma        Cox, Gamma    FALSE #> 9185   575 0.7042959 0.134581473  fv      Gamma        Cox, Gamma    FALSE #> 9201   576 0.7417747 0.142360056  fv      Gamma        Cox, Gamma    FALSE #> 9217   577 0.6314368 0.122446267  fv      Gamma        Cox, Gamma    FALSE #> 9233   578 0.6519440 0.125000623  fv      Gamma        Cox, Gamma    FALSE #> 9249   579 0.6465344          NA  fv      Gamma        Cox, Gamma       NA #> 9265   580 0.6101363 0.117780410  fv      Gamma        Cox, Gamma    FALSE #> 9281   581 0.8567743 0.159745166  fv      Gamma        Cox, Gamma    FALSE #> 9297   582 0.4249017 0.084684463  fv      Gamma        Cox, Gamma    FALSE #> 9313   583 0.7812605 0.147186401  fv      Gamma        Cox, Gamma    FALSE #> 9329   584 0.6289872          NA  fv      Gamma        Cox, Gamma       NA #> 9345   585 1.1129083 0.202616476  fv      Gamma        Cox, Gamma     TRUE #> 9361   586 1.0020180 0.183131340  fv      Gamma        Cox, Gamma    FALSE #> 9377   587 0.7823646 0.147627151  fv      Gamma        Cox, Gamma    FALSE #> 9393   588 0.7965984 0.151873142  fv      Gamma        Cox, Gamma    FALSE #> 9409   589 0.5848703 0.113875946  fv      Gamma        Cox, Gamma    FALSE #> 9425   590 0.6723444 0.129201859  fv      Gamma        Cox, Gamma    FALSE #> 9441   591 0.7146685 0.136960728  fv      Gamma        Cox, Gamma    FALSE #> 9457   592 0.8875873 0.165449957  fv      Gamma        Cox, Gamma    FALSE #> 9473   593 0.6956131 0.136694985  fv      Gamma        Cox, Gamma    FALSE #> 9489   594 0.7214667 0.138957335  fv      Gamma        Cox, Gamma    FALSE #> 9505   595 0.7101161 0.135025353  fv      Gamma        Cox, Gamma    FALSE #> 9521   596 0.8418777 0.157263827  fv      Gamma        Cox, Gamma    FALSE #> 9537   597 0.9729782 0.183742916  fv      Gamma        Cox, Gamma    FALSE #> 9553   598 0.7302043 0.138489839  fv      Gamma        Cox, Gamma    FALSE #> 9569   599 1.0924857 0.198613543  fv      Gamma        Cox, Gamma    FALSE #> 9585   600 0.9354165 0.172435311  fv      Gamma        Cox, Gamma    FALSE #> 9601   601 0.6883910 0.131587270  fv      Gamma        Cox, Gamma    FALSE #> 9617   602 0.8070003 0.154414727  fv      Gamma        Cox, Gamma    FALSE #> 9633   603 0.6856989 0.130901389  fv      Gamma        Cox, Gamma    FALSE #> 9649   604 0.8376770 0.164630472  fv      Gamma        Cox, Gamma    FALSE #> 9665   605 0.8981670 0.170534144  fv      Gamma        Cox, Gamma    FALSE #> 9681   606 0.7882221 0.148789284  fv      Gamma        Cox, Gamma    FALSE #> 9697   607 0.6476463 0.125475048  fv      Gamma        Cox, Gamma    FALSE #> 9713   608 0.8155224 0.153555972  fv      Gamma        Cox, Gamma    FALSE #> 9729   609 0.8892325 0.166132966  fv      Gamma        Cox, Gamma    FALSE #> 9745   610 0.7927409 0.149226966  fv      Gamma        Cox, Gamma    FALSE #> 9761   611 0.6492237 0.125252832  fv      Gamma        Cox, Gamma    FALSE #> 9777   612 0.8847558 0.164946654  fv      Gamma        Cox, Gamma    FALSE #> 9793   613 0.7555553 0.143065459  fv      Gamma        Cox, Gamma    FALSE #> 9809   614 0.6999420 0.133898539  fv      Gamma        Cox, Gamma    FALSE #> 9825   615 0.6323970 0.121998668  fv      Gamma        Cox, Gamma    FALSE #> 9841   616 0.9258004 0.171970867  fv      Gamma        Cox, Gamma    FALSE #> 9857   617 0.9810413 0.184675944  fv      Gamma        Cox, Gamma    FALSE #> 9873   618 0.5773346 0.112316606  fv      Gamma        Cox, Gamma    FALSE #> 9889   619 0.6347891 0.122523189  fv      Gamma        Cox, Gamma    FALSE #> 9905   620 0.6827832 0.131100442  fv      Gamma        Cox, Gamma    FALSE #> 9921   621 0.7975355 0.150353049  fv      Gamma        Cox, Gamma    FALSE #> 9937   622 1.1223277 0.204313520  fv      Gamma        Cox, Gamma     TRUE #> 9953   623 0.5579222 0.108700678  fv      Gamma        Cox, Gamma    FALSE #> 9969   624 0.7128043 0.135198610  fv      Gamma        Cox, Gamma    FALSE #> 9985   625 0.6645098 0.127866473  fv      Gamma        Cox, Gamma    FALSE #> 10001  626 0.5434477 0.107111683  fv      Gamma        Cox, Gamma    FALSE #> 10017  627 0.6384977 0.127531672  fv      Gamma        Cox, Gamma    FALSE #> 10033  628 0.7155575 0.135607273  fv      Gamma        Cox, Gamma    FALSE #> 10049  629 0.5743986 0.113030438  fv      Gamma        Cox, Gamma    FALSE #> 10065  630 0.9263040 0.171879492  fv      Gamma        Cox, Gamma    FALSE #> 10081  631 0.8454909 0.163553297  fv      Gamma        Cox, Gamma    FALSE #> 10097  632 0.5915189 0.115112532  fv      Gamma        Cox, Gamma    FALSE #> 10113  633 0.5378909 0.105342707  fv      Gamma        Cox, Gamma    FALSE #> 10129  634 0.5606903 0.109482541  fv      Gamma        Cox, Gamma    FALSE #> 10145  635 0.4726450 0.094667526  fv      Gamma        Cox, Gamma    FALSE #> 10161  636 0.6834728 0.132595448  fv      Gamma        Cox, Gamma    FALSE #> 10177  637 0.7517155 0.142228970  fv      Gamma        Cox, Gamma    FALSE #> 10193  638 0.6135361 0.122501483  fv      Gamma        Cox, Gamma    FALSE #> 10209  639 0.7014499 0.133681174  fv      Gamma        Cox, Gamma    FALSE #> 10225  640 0.6128640          NA  fv      Gamma        Cox, Gamma       NA #> 10241  641 0.6673911 0.127458375  fv      Gamma        Cox, Gamma    FALSE #> 10257  642 0.6815744 0.131201354  fv      Gamma        Cox, Gamma    FALSE #> 10273  643 0.6395380 0.123473684  fv      Gamma        Cox, Gamma    FALSE #> 10289  644 0.9281496 0.178044104  fv      Gamma        Cox, Gamma    FALSE #> 10305  645 0.5058058 0.099576567  fv      Gamma        Cox, Gamma    FALSE #> 10321  646 0.5752018 0.112537616  fv      Gamma        Cox, Gamma    FALSE #> 10337  647 1.0966623 0.201529503  fv      Gamma        Cox, Gamma    FALSE #> 10353  648 0.7244534 0.137071261  fv      Gamma        Cox, Gamma    FALSE #> 10369  649 0.8332207 0.156331374  fv      Gamma        Cox, Gamma    FALSE #> 10385  650 0.9649527 0.179069982  fv      Gamma        Cox, Gamma    FALSE #> 10401  651 0.9464873 0.175101726  fv      Gamma        Cox, Gamma    FALSE #> 10417  652 0.7609635 0.144258476  fv      Gamma        Cox, Gamma    FALSE #> 10433  653 0.9382049 0.177882581  fv      Gamma        Cox, Gamma    FALSE #> 10449  654 0.6062464 0.117645954  fv      Gamma        Cox, Gamma    FALSE #> 10465  655 0.6767305 0.129314528  fv      Gamma        Cox, Gamma    FALSE #> 10481  656 0.7862486 0.148608077  fv      Gamma        Cox, Gamma    FALSE #> 10497  657 0.7137173 0.136369085  fv      Gamma        Cox, Gamma    FALSE #> 10513  658 0.8178731 0.154550758  fv      Gamma        Cox, Gamma    FALSE #> 10529  659 0.8561291 0.161265853  fv      Gamma        Cox, Gamma    FALSE #> 10545  660 0.7951042 0.153064842  fv      Gamma        Cox, Gamma    FALSE #> 10561  661 0.5838602 0.113215726  fv      Gamma        Cox, Gamma    FALSE #> 10577  662 0.4485783 0.089198580  fv      Gamma        Cox, Gamma    FALSE #> 10593  663 0.6581613          NA  fv      Gamma        Cox, Gamma       NA #> 10609  664 0.7241489 0.137001157  fv      Gamma        Cox, Gamma    FALSE #> 10625  665 0.6926612 0.133197792  fv      Gamma        Cox, Gamma    FALSE #> 10641  666 0.6778013 0.132901048  fv      Gamma        Cox, Gamma    FALSE #> 10657  667 0.8867749 0.168166698  fv      Gamma        Cox, Gamma    FALSE #> 10673  668 0.8301043 0.158911230  fv      Gamma        Cox, Gamma    FALSE #> 10689  669 0.5407391 0.106146295  fv      Gamma        Cox, Gamma    FALSE #> 10705  670 0.8485756 0.162192318  fv      Gamma        Cox, Gamma    FALSE #> 10721  671 0.8766589 0.163763076  fv      Gamma        Cox, Gamma    FALSE #> 10737  672 0.6153715          NA  fv      Gamma        Cox, Gamma       NA #> 10753  673 0.6107089 0.117370604  fv      Gamma        Cox, Gamma    FALSE #> 10769  674 0.9545713 0.180865051  fv      Gamma        Cox, Gamma    FALSE #> 10785  675 0.6959295 0.132291736  fv      Gamma        Cox, Gamma    FALSE #> 10801  676 0.5082065 0.102830300  fv      Gamma        Cox, Gamma    FALSE #> 10817  677 0.6335714 0.121472662  fv      Gamma        Cox, Gamma    FALSE #> 10833  678 0.8358190 0.157360400  fv      Gamma        Cox, Gamma    FALSE #> 10849  679 0.9489850 0.175902516  fv      Gamma        Cox, Gamma    FALSE #> 10865  680 0.6831995 0.135084593  fv      Gamma        Cox, Gamma    FALSE #> 10881  681 0.5643254 0.110253548  fv      Gamma        Cox, Gamma    FALSE #> 10897  682 0.7617965 0.143922368  fv      Gamma        Cox, Gamma    FALSE #> 10913  683 0.8612983 0.164005648  fv      Gamma        Cox, Gamma    FALSE #> 10929  684 0.9306887 0.172309343  fv      Gamma        Cox, Gamma    FALSE #> 10945  685 0.6426137 0.123487366  fv      Gamma        Cox, Gamma    FALSE #> 10961  686 0.5504300 0.108056938  fv      Gamma        Cox, Gamma    FALSE #> 10977  687 1.0715471 0.195861853  fv      Gamma        Cox, Gamma    FALSE #> 10993  688 0.7247087 0.137711351  fv      Gamma        Cox, Gamma    FALSE #> 11009  689 0.7044312 0.134177121  fv      Gamma        Cox, Gamma    FALSE #> 11025  690 0.9424856 0.173674021  fv      Gamma        Cox, Gamma    FALSE #> 11041  691 0.7890166 0.149550201  fv      Gamma        Cox, Gamma    FALSE #> 11057  692 0.7272266 0.137587457  fv      Gamma        Cox, Gamma    FALSE #> 11073  693 0.8573916 0.162747887  fv      Gamma        Cox, Gamma    FALSE #> 11089  694 0.8534868 0.161603640  fv      Gamma        Cox, Gamma    FALSE #> 11105  695 0.7322424 0.142478400  fv      Gamma        Cox, Gamma    FALSE #> 11121  696 0.7257254 0.140591529  fv      Gamma        Cox, Gamma    FALSE #> 11137  697 0.7333151 0.139148123  fv      Gamma        Cox, Gamma    FALSE #> 11153  698 0.7079694 0.135061149  fv      Gamma        Cox, Gamma    FALSE #> 11169  699 0.7213398 0.136395589  fv      Gamma        Cox, Gamma    FALSE #> 11185  700 1.1804472 0.212933204  fv      Gamma        Cox, Gamma     TRUE #> 11201  701 0.6387989 0.122746463  fv      Gamma        Cox, Gamma    FALSE #> 11217  702 0.7190115 0.141352091  fv      Gamma        Cox, Gamma    FALSE #> 11233  703 0.5731256 0.112207992  fv      Gamma        Cox, Gamma    FALSE #> 11249  704 0.9037123 0.167031332  fv      Gamma        Cox, Gamma    FALSE #> 11265  705 0.9728518 0.179527679  fv      Gamma        Cox, Gamma    FALSE #> 11281  706 0.7500375 0.141850521  fv      Gamma        Cox, Gamma    FALSE #> 11297  707 0.5756002 0.113226216  fv      Gamma        Cox, Gamma    FALSE #> 11313  708 0.8181883 0.157337000  fv      Gamma        Cox, Gamma    FALSE #> 11329  709 0.7474298 0.141423613  fv      Gamma        Cox, Gamma    FALSE #> 11345  710 0.7454622 0.140549261  fv      Gamma        Cox, Gamma    FALSE #> 11361  711 0.3894059 0.079382350  fv      Gamma        Cox, Gamma    FALSE #> 11377  712 0.7212272 0.137524828  fv      Gamma        Cox, Gamma    FALSE #> 11393  713 0.7565196 0.142332022  fv      Gamma        Cox, Gamma    FALSE #> 11409  714 0.8595678 0.164830902  fv      Gamma        Cox, Gamma    FALSE #> 11425  715 0.9462299 0.175784475  fv      Gamma        Cox, Gamma    FALSE #> 11441  716 0.8149458 0.154563840  fv      Gamma        Cox, Gamma    FALSE #> 11457  717 0.6258843 0.125296314  fv      Gamma        Cox, Gamma    FALSE #> 11473  718 0.7241018 0.138809353  fv      Gamma        Cox, Gamma    FALSE #> 11489  719 0.6472919 0.124029879  fv      Gamma        Cox, Gamma    FALSE #> 11505  720 0.6462965 0.124507001  fv      Gamma        Cox, Gamma    FALSE #> 11521  721 0.8668431 0.163374189  fv      Gamma        Cox, Gamma    FALSE #> 11537  722 0.8751804 0.163803285  fv      Gamma        Cox, Gamma    FALSE #> 11553  723 0.7688477 0.148856537  fv      Gamma        Cox, Gamma    FALSE #> 11569  724 0.6330552 0.122262688  fv      Gamma        Cox, Gamma    FALSE #> 11585  725 0.6439821 0.123472393  fv      Gamma        Cox, Gamma    FALSE #> 11601  726 0.6382621 0.124017757  fv      Gamma        Cox, Gamma    FALSE #> 11617  727 0.8274516 0.157670945  fv      Gamma        Cox, Gamma    FALSE #> 11633  728 0.5470298 0.110455707  fv      Gamma        Cox, Gamma    FALSE #> 11649  729 0.7934510 0.149151202  fv      Gamma        Cox, Gamma    FALSE #> 11665  730 0.9028028 0.172657452  fv      Gamma        Cox, Gamma    FALSE #> 11681  731 0.9106973 0.169985677  fv      Gamma        Cox, Gamma    FALSE #> 11697  732 0.8609186 0.159667483  fv      Gamma        Cox, Gamma    FALSE #> 11713  733 0.5696342 0.111161534  fv      Gamma        Cox, Gamma    FALSE #> 11729  734 0.5714461 0.111644351  fv      Gamma        Cox, Gamma    FALSE #> 11745  735 0.7858057 0.147794812  fv      Gamma        Cox, Gamma    FALSE #> 11761  736 0.8311006 0.159563715  fv      Gamma        Cox, Gamma    FALSE #> 11777  737 0.7011583 0.133559009  fv      Gamma        Cox, Gamma    FALSE #> 11793  738 0.6425217 0.129359897  fv      Gamma        Cox, Gamma    FALSE #> 11809  739 0.6952162 0.132859258  fv      Gamma        Cox, Gamma    FALSE #> 11825  740 0.6816161 0.130493619  fv      Gamma        Cox, Gamma    FALSE #> 11841  741 0.7984124 0.151405815  fv      Gamma        Cox, Gamma    FALSE #> 11857  742 0.6113573 0.118351933  fv      Gamma        Cox, Gamma    FALSE #> 11873  743 0.7768640 0.146725181  fv      Gamma        Cox, Gamma    FALSE #> 11889  744 1.0010037 0.187976904  fv      Gamma        Cox, Gamma    FALSE #> 11905  745 0.6369326 0.124638617  fv      Gamma        Cox, Gamma    FALSE #> 11921  746 0.4547392 0.090878742  fv      Gamma        Cox, Gamma    FALSE #> 11937  747 0.6243564          NA  fv      Gamma        Cox, Gamma       NA #> 11953  748 0.8321617 0.155213104  fv      Gamma        Cox, Gamma    FALSE #> 11969  749 0.6214388 0.120268760  fv      Gamma        Cox, Gamma    FALSE #> 11985  750 0.5547780 0.108170284  fv      Gamma        Cox, Gamma    FALSE #> 12001  751 0.9029269 0.167251872  fv      Gamma        Cox, Gamma    FALSE #> 12017  752 0.8158367 0.153701903  fv      Gamma        Cox, Gamma    FALSE #> 12033  753 0.6268532 0.122830159  fv      Gamma        Cox, Gamma    FALSE #> 12049  754 0.7604952 0.143957643  fv      Gamma        Cox, Gamma    FALSE #> 12065  755 0.7755205 0.146754514  fv      Gamma        Cox, Gamma    FALSE #> 12081  756 1.1338308 0.205371520  fv      Gamma        Cox, Gamma     TRUE #> 12097  757 0.6141619 0.119190168  fv      Gamma        Cox, Gamma    FALSE #> 12113  758 0.5421448 0.106441629  fv      Gamma        Cox, Gamma    FALSE #> 12129  759 0.6135692 0.118641503  fv      Gamma        Cox, Gamma    FALSE #> 12145  760 0.6039901          NA  fv      Gamma        Cox, Gamma       NA #> 12161  761 0.7675576 0.146194900  fv      Gamma        Cox, Gamma    FALSE #> 12177  762 0.6497935 0.124892235  fv      Gamma        Cox, Gamma    FALSE #> 12193  763 0.6141013 0.119005700  fv      Gamma        Cox, Gamma    FALSE #> 12209  764 0.7138323 0.136853512  fv      Gamma        Cox, Gamma    FALSE #> 12225  765 0.6968334 0.134411196  fv      Gamma        Cox, Gamma    FALSE #> 12241  766 0.5653622 0.110834209  fv      Gamma        Cox, Gamma    FALSE #> 12257  767 0.7773964 0.147674261  fv      Gamma        Cox, Gamma    FALSE #> 12273  768 0.7275932 0.138104443  fv      Gamma        Cox, Gamma    FALSE #> 12289  769 0.8012518 0.150258739  fv      Gamma        Cox, Gamma    FALSE #> 12305  770 0.5881467 0.115918836  fv      Gamma        Cox, Gamma    FALSE #> 12321  771 0.5582652 0.109204974  fv      Gamma        Cox, Gamma    FALSE #> 12337  772 0.8615970 0.165608183  fv      Gamma        Cox, Gamma    FALSE #> 12353  773 0.6832303 0.131879273  fv      Gamma        Cox, Gamma    FALSE #> 12369  774 0.7392229 0.139984302  fv      Gamma        Cox, Gamma    FALSE #> 12385  775 0.9718989 0.182805349  fv      Gamma        Cox, Gamma    FALSE #> 12401  776 0.7453084 0.140746137  fv      Gamma        Cox, Gamma    FALSE #> 12417  777 0.6330554 0.122393589  fv      Gamma        Cox, Gamma    FALSE #> 12433  778 0.7985011 0.151646980  fv      Gamma        Cox, Gamma    FALSE #> 12449  779 0.8074756 0.152531003  fv      Gamma        Cox, Gamma    FALSE #> 12465  780 0.8180757 0.154987196  fv      Gamma        Cox, Gamma    FALSE #> 12481  781 0.6082118 0.119222818  fv      Gamma        Cox, Gamma    FALSE #> 12497  782 0.6587172 0.131465834  fv      Gamma        Cox, Gamma    FALSE #> 12513  783 0.7736700 0.145777095  fv      Gamma        Cox, Gamma    FALSE #> 12529  784 0.6471594 0.123949451  fv      Gamma        Cox, Gamma    FALSE #> 12545  785 0.6391755 0.122834514  fv      Gamma        Cox, Gamma    FALSE #> 12561  786 0.9004978 0.168639083  fv      Gamma        Cox, Gamma    FALSE #> 12577  787 0.8098357 0.157221614  fv      Gamma        Cox, Gamma    FALSE #> 12593  788 0.7364478 0.140602985  fv      Gamma        Cox, Gamma    FALSE #> 12609  789 0.8480764 0.161362989  fv      Gamma        Cox, Gamma    FALSE #> 12625  790 0.9009634 0.172274725  fv      Gamma        Cox, Gamma    FALSE #> 12641  791 0.9429739 0.177975160  fv      Gamma        Cox, Gamma    FALSE #> 12657  792 0.9334192 0.173662065  fv      Gamma        Cox, Gamma    FALSE #> 12673  793 0.6720125 0.128866983  fv      Gamma        Cox, Gamma    FALSE #> 12689  794 0.3839860 0.077645568  fv      Gamma        Cox, Gamma    FALSE #> 12705  795 0.6986569 0.134254162  fv      Gamma        Cox, Gamma    FALSE #> 12721  796 0.7909092 0.149755855  fv      Gamma        Cox, Gamma    FALSE #> 12737  797 0.6261971 0.121737443  fv      Gamma        Cox, Gamma    FALSE #> 12753  798 0.5844054 0.114012882  fv      Gamma        Cox, Gamma    FALSE #> 12769  799 0.9180832 0.177794269  fv      Gamma        Cox, Gamma    FALSE #> 12785  800 0.8898310 0.009215322  fv      Gamma        Cox, Gamma     TRUE #> 12801  801 0.6029141 0.118004690  fv      Gamma        Cox, Gamma    FALSE #> 12817  802 0.6136151 0.118209030  fv      Gamma        Cox, Gamma    FALSE #> 12833  803 0.7643843 0.144107978  fv      Gamma        Cox, Gamma    FALSE #> 12849  804 0.7880555 0.148940888  fv      Gamma        Cox, Gamma    FALSE #> 12865  805 0.7998431 0.151085310  fv      Gamma        Cox, Gamma    FALSE #> 12881  806 0.5799163 0.112694012  fv      Gamma        Cox, Gamma    FALSE #> 12897  807 0.9651011 0.178731784  fv      Gamma        Cox, Gamma    FALSE #> 12913  808 0.7025718 0.137651644  fv      Gamma        Cox, Gamma    FALSE #> 12929  809 0.8694688 0.167063978  fv      Gamma        Cox, Gamma    FALSE #> 12945  810 0.7524828 0.142292627  fv      Gamma        Cox, Gamma    FALSE #> 12961  811 0.9760360 0.179659577  fv      Gamma        Cox, Gamma    FALSE #> 12977  812 0.6752901 0.129939984  fv      Gamma        Cox, Gamma    FALSE #> 12993  813 0.8548886 0.159815547  fv      Gamma        Cox, Gamma    FALSE #> 13009  814 0.8475993 0.160224215  fv      Gamma        Cox, Gamma    FALSE #> 13025  815 1.0378135 0.193339139  fv      Gamma        Cox, Gamma    FALSE #> 13041  816 0.6058893 0.118810341  fv      Gamma        Cox, Gamma    FALSE #> 13057  817 0.8294245 0.160278552  fv      Gamma        Cox, Gamma    FALSE #> 13073  818 0.6699606 0.129819938  fv      Gamma        Cox, Gamma    FALSE #> 13089  819 0.9026802 0.171814094  fv      Gamma        Cox, Gamma    FALSE #> 13105  820 0.6607045 0.126534866  fv      Gamma        Cox, Gamma    FALSE #> 13121  821 0.7740695 0.148978813  fv      Gamma        Cox, Gamma    FALSE #> 13137  822 0.5192049 0.101919886  fv      Gamma        Cox, Gamma    FALSE #> 13153  823 0.7124120 0.136595828  fv      Gamma        Cox, Gamma    FALSE #> 13169  824 0.7414032 0.141357073  fv      Gamma        Cox, Gamma    FALSE #> 13185  825 0.5626547 0.109971816  fv      Gamma        Cox, Gamma    FALSE #> 13201  826 0.7043875 0.133119162  fv      Gamma        Cox, Gamma    FALSE #> 13217  827 0.6514503 0.124574860  fv      Gamma        Cox, Gamma    FALSE #> 13233  828 0.9596989 0.181593656  fv      Gamma        Cox, Gamma    FALSE #> 13249  829 0.6007949 0.116361517  fv      Gamma        Cox, Gamma    FALSE #> 13265  830 0.8469501 0.159224212  fv      Gamma        Cox, Gamma    FALSE #> 13281  831 0.5408164 0.107608019  fv      Gamma        Cox, Gamma    FALSE #> 13297  832 0.7255851 0.137920926  fv      Gamma        Cox, Gamma    FALSE #> 13313  833 0.7233601 0.137867717  fv      Gamma        Cox, Gamma    FALSE #> 13329  834 0.5366763 0.106094653  fv      Gamma        Cox, Gamma    FALSE #> 13345  835 0.6807868 0.129887049  fv      Gamma        Cox, Gamma    FALSE #> 13361  836 0.7233304 0.138523590  fv      Gamma        Cox, Gamma    FALSE #> 13377  837 0.6975474 0.134553921  fv      Gamma        Cox, Gamma    FALSE #> 13393  838 0.9069225 0.168108493  fv      Gamma        Cox, Gamma    FALSE #> 13409  839 0.6369026          NA  fv      Gamma        Cox, Gamma       NA #> 13425  840 0.7404369 0.141071662  fv      Gamma        Cox, Gamma    FALSE #> 13441  841 0.7236781 0.136543217  fv      Gamma        Cox, Gamma    FALSE #> 13457  842 0.7269617 0.139559720  fv      Gamma        Cox, Gamma    FALSE #> 13473  843 0.9404634 0.175372253  fv      Gamma        Cox, Gamma    FALSE #> 13489  844 0.7591388 0.146210176  fv      Gamma        Cox, Gamma    FALSE #> 13505  845 0.8950945 0.167596204  fv      Gamma        Cox, Gamma    FALSE #> 13521  846 0.6293815 0.123382026  fv      Gamma        Cox, Gamma    FALSE #> 13537  847 0.6395938 0.126059073  fv      Gamma        Cox, Gamma    FALSE #> 13553  848 0.5252646 0.103677785  fv      Gamma        Cox, Gamma    FALSE #> 13569  849 0.7224527 0.136457894  fv      Gamma        Cox, Gamma    FALSE #> 13585  850 0.6655871 0.127329444  fv      Gamma        Cox, Gamma    FALSE #> 13601  851 0.7693731 0.146390092  fv      Gamma        Cox, Gamma    FALSE #> 13617  852 0.4630289 0.092204110  fv      Gamma        Cox, Gamma    FALSE #> 13633  853 0.7458003 0.141114834  fv      Gamma        Cox, Gamma    FALSE #> 13649  854 0.5495523 0.107672747  fv      Gamma        Cox, Gamma    FALSE #> 13665  855 0.9345197 0.173532238  fv      Gamma        Cox, Gamma    FALSE #> 13681  856 0.8111527 0.152332420  fv      Gamma        Cox, Gamma    FALSE #> 13697  857 0.5890767 0.115410240  fv      Gamma        Cox, Gamma    FALSE #> 13713  858 0.6332795 0.122745694  fv      Gamma        Cox, Gamma    FALSE #> 13729  859 0.6800949 0.133382028  fv      Gamma        Cox, Gamma    FALSE #> 13745  860 0.6622329 0.127201962  fv      Gamma        Cox, Gamma    FALSE #> 13761  861 0.8276490 0.155843336  fv      Gamma        Cox, Gamma    FALSE #> 13777  862 0.6250495 0.119957952  fv      Gamma        Cox, Gamma    FALSE #> 13793  863 0.7531449 0.143142148  fv      Gamma        Cox, Gamma    FALSE #> 13809  864 0.7254803 0.138882972  fv      Gamma        Cox, Gamma    FALSE #> 13825  865 0.7898965 0.149750258  fv      Gamma        Cox, Gamma    FALSE #> 13841  866 0.6936516 0.132582282  fv      Gamma        Cox, Gamma    FALSE #> 13857  867 0.7247385 0.138061579  fv      Gamma        Cox, Gamma    FALSE #> 13873  868 0.7636970 0.144736951  fv      Gamma        Cox, Gamma    FALSE #> 13889  869 0.7396685 0.140631206  fv      Gamma        Cox, Gamma    FALSE #> 13905  870 0.6878653 0.134946113  fv      Gamma        Cox, Gamma    FALSE #> 13921  871 0.9322391 0.174943111  fv      Gamma        Cox, Gamma    FALSE #> 13937  872 0.8718313 0.164024706  fv      Gamma        Cox, Gamma    FALSE #> 13953  873 0.8129908 0.152112199  fv      Gamma        Cox, Gamma    FALSE #> 13969  874 1.0572431 0.200675949  fv      Gamma        Cox, Gamma    FALSE #> 13985  875 0.6157512 0.118829283  fv      Gamma        Cox, Gamma    FALSE #> 14001  876 0.6630098 0.126690567  fv      Gamma        Cox, Gamma    FALSE #> 14017  877 0.7466926 0.141466654  fv      Gamma        Cox, Gamma    FALSE #> 14033  878 0.7914158 0.152095093  fv      Gamma        Cox, Gamma    FALSE #> 14049  879 0.7052097 0.139283078  fv      Gamma        Cox, Gamma    FALSE #> 14065  880 0.9210401 0.170865848  fv      Gamma        Cox, Gamma    FALSE #> 14081  881 0.8075285 0.152978998  fv      Gamma        Cox, Gamma    FALSE #> 14097  882 0.9622325 0.177253168  fv      Gamma        Cox, Gamma    FALSE #> 14113  883 0.6113031 0.118690674  fv      Gamma        Cox, Gamma    FALSE #> 14129  884 0.5963768 0.115010525  fv      Gamma        Cox, Gamma    FALSE #> 14145  885 0.5900931 0.114649215  fv      Gamma        Cox, Gamma    FALSE #> 14161  886 0.5895583 0.114812076  fv      Gamma        Cox, Gamma    FALSE #> 14177  887 0.7148329 0.136753996  fv      Gamma        Cox, Gamma    FALSE #> 14193  888 0.9594745 0.176947839  fv      Gamma        Cox, Gamma    FALSE #> 14209  889 0.8042972 0.150368824  fv      Gamma        Cox, Gamma    FALSE #> 14225  890 0.6175176 0.120106236  fv      Gamma        Cox, Gamma    FALSE #> 14241  891 0.5137172 0.100840519  fv      Gamma        Cox, Gamma    FALSE #> 14257  892 0.6850107 0.131015607  fv      Gamma        Cox, Gamma    FALSE #> 14273  893 0.8293255 0.157982630  fv      Gamma        Cox, Gamma    FALSE #> 14289  894 0.5677705 0.110836627  fv      Gamma        Cox, Gamma    FALSE #> 14305  895 0.7644482 0.145093246  fv      Gamma        Cox, Gamma    FALSE #> 14321  896 0.8710288 0.162208151  fv      Gamma        Cox, Gamma    FALSE #> 14337  897 0.7168600 0.136395174  fv      Gamma        Cox, Gamma    FALSE #> 14353  898 0.9065450 0.167962428  fv      Gamma        Cox, Gamma    FALSE #> 14369  899 0.7682189 0.146120927  fv      Gamma        Cox, Gamma    FALSE #> 14385  900 0.7950990 0.152564307  fv      Gamma        Cox, Gamma    FALSE #> 14401  901 0.6035077          NA  fv      Gamma        Cox, Gamma       NA #> 14417  902 0.5803465 0.112617990  fv      Gamma        Cox, Gamma    FALSE #> 14433  903 0.6449096 0.123722630  fv      Gamma        Cox, Gamma    FALSE #> 14449  904 1.0645195 0.202580828  fv      Gamma        Cox, Gamma    FALSE #> 14465  905 0.6154062 0.118202301  fv      Gamma        Cox, Gamma    FALSE #> 14481  906 0.9287891 0.171263363  fv      Gamma        Cox, Gamma    FALSE #> 14497  907 0.7180920 0.136679548  fv      Gamma        Cox, Gamma    FALSE #> 14513  908 0.6552036 0.129720385  fv      Gamma        Cox, Gamma    FALSE #> 14529  909 0.6176879 0.120066685  fv      Gamma        Cox, Gamma    FALSE #> 14545  910 0.5521694 0.107962585  fv      Gamma        Cox, Gamma    FALSE #> 14561  911 0.7069066 0.138490781  fv      Gamma        Cox, Gamma    FALSE #> 14577  912 0.5462190 0.106165748  fv      Gamma        Cox, Gamma    FALSE #> 14593  913 0.7016262 0.133463712  fv      Gamma        Cox, Gamma    FALSE #> 14609  914 0.6332994 0.123546571  fv      Gamma        Cox, Gamma    FALSE #> 14625  915 0.8871169 0.168167223  fv      Gamma        Cox, Gamma    FALSE #> 14641  916 0.5314523 0.103737093  fv      Gamma        Cox, Gamma    FALSE #> 14657  917 0.8251601 0.158076990  fv      Gamma        Cox, Gamma    FALSE #> 14673  918 0.7812981 0.146882310  fv      Gamma        Cox, Gamma    FALSE #> 14689  919 0.5633497 0.109510022  fv      Gamma        Cox, Gamma    FALSE #> 14705  920 0.7551588 0.142268945  fv      Gamma        Cox, Gamma    FALSE #> 14721  921 0.8233179 0.155619571  fv      Gamma        Cox, Gamma    FALSE #> 14737  922 1.0592208 0.198177894  fv      Gamma        Cox, Gamma    FALSE #> 14753  923 0.7166090 0.136329906  fv      Gamma        Cox, Gamma    FALSE #> 14769  924 0.7695951 0.144746860  fv      Gamma        Cox, Gamma    FALSE #> 14785  925 0.8674089 0.165902857  fv      Gamma        Cox, Gamma    FALSE #> 14801  926 0.7045694 0.133491756  fv      Gamma        Cox, Gamma    FALSE #> 14817  927 0.4593230 0.091649779  fv      Gamma        Cox, Gamma    FALSE #> 14833  928 0.6908884 0.131414692  fv      Gamma        Cox, Gamma    FALSE #> 14849  929 0.7466114 0.142611050  fv      Gamma        Cox, Gamma    FALSE #> 14865  930 0.8842713 0.169298190  fv      Gamma        Cox, Gamma    FALSE #> 14881  931 0.6753965 0.128818557  fv      Gamma        Cox, Gamma    FALSE #> 14897  932 0.8354712 0.155898458  fv      Gamma        Cox, Gamma    FALSE #> 14913  933 0.6292981 0.121754957  fv      Gamma        Cox, Gamma    FALSE #> 14929  934 0.6014700 0.116226490  fv      Gamma        Cox, Gamma    FALSE #> 14945  935 0.5048390 0.100465756  fv      Gamma        Cox, Gamma    FALSE #> 14961  936 0.5914851 0.114415232  fv      Gamma        Cox, Gamma    FALSE #> 14977  937 1.1046727 0.204362478  fv      Gamma        Cox, Gamma    FALSE #> 14993  938 0.7889907 0.149274856  fv      Gamma        Cox, Gamma    FALSE #> 15009  939 0.8269311 0.155176151  fv      Gamma        Cox, Gamma    FALSE #> 15025  940 0.7645462 0.144080751  fv      Gamma        Cox, Gamma    FALSE #> 15041  941 0.6339856 0.122117198  fv      Gamma        Cox, Gamma    FALSE #> 15057  942 0.6443675 0.124341205  fv      Gamma        Cox, Gamma    FALSE #> 15073  943 0.4804556 0.095616415  fv      Gamma        Cox, Gamma    FALSE #> 15089  944 0.6182545 0.118864711  fv      Gamma        Cox, Gamma    FALSE #> 15105  945 0.6165893 0.119585898  fv      Gamma        Cox, Gamma    FALSE #> 15121  946 0.7660069 0.148721347  fv      Gamma        Cox, Gamma    FALSE #> 15137  947 0.6810811 0.132003647  fv      Gamma        Cox, Gamma    FALSE #> 15153  948 0.5142477 0.102747891  fv      Gamma        Cox, Gamma    FALSE #> 15169  949 0.6180526 0.120672028  fv      Gamma        Cox, Gamma    FALSE #> 15185  950 0.6232314 0.121836187  fv      Gamma        Cox, Gamma    FALSE #> 15201  951 0.7127207 0.135731437  fv      Gamma        Cox, Gamma    FALSE #> 15217  952 0.6730731 0.129521227  fv      Gamma        Cox, Gamma    FALSE #> 15233  953 1.0916190 0.201684689  fv      Gamma        Cox, Gamma    FALSE #> 15249  954 0.6736457 0.128998241  fv      Gamma        Cox, Gamma    FALSE #> 15265  955 0.8188607 0.153567795  fv      Gamma        Cox, Gamma    FALSE #> 15281  956 0.6635977 0.128355306  fv      Gamma        Cox, Gamma    FALSE #> 15297  957 0.6342700 0.123055464  fv      Gamma        Cox, Gamma    FALSE #> 15313  958 0.5356595 0.105054232  fv      Gamma        Cox, Gamma    FALSE #> 15329  959 0.5970231 0.115463296  fv      Gamma        Cox, Gamma    FALSE #> 15345  960 0.7817517 0.148307504  fv      Gamma        Cox, Gamma    FALSE #> 15361  961 0.5115240 0.101112635  fv      Gamma        Cox, Gamma    FALSE #> 15377  962 0.9019772 0.168201411  fv      Gamma        Cox, Gamma    FALSE #> 15393  963 0.8333257 0.157848012  fv      Gamma        Cox, Gamma    FALSE #> 15409  964 0.6911721 0.132489255  fv      Gamma        Cox, Gamma    FALSE #> 15425  965 0.6365177          NA  fv      Gamma        Cox, Gamma       NA #> 15441  966 0.7677420 0.146639440  fv      Gamma        Cox, Gamma    FALSE #> 15457  967 0.6649532 0.127278523  fv      Gamma        Cox, Gamma    FALSE #> 15473  968 0.5605857          NA  fv      Gamma        Cox, Gamma       NA #> 15489  969 0.7488110 0.144103923  fv      Gamma        Cox, Gamma    FALSE #> 15505  970 0.7009266 0.138336093  fv      Gamma        Cox, Gamma    FALSE #> 15521  971 0.6355460 0.123055558  fv      Gamma        Cox, Gamma    FALSE #> 15537  972 0.6550597 0.129518392  fv      Gamma        Cox, Gamma    FALSE #> 15553  973 0.9634266 0.184669702  fv      Gamma        Cox, Gamma    FALSE #> 15569  974 0.5254167 0.103755606  fv      Gamma        Cox, Gamma    FALSE #> 15585  975 0.5023696 0.099748952  fv      Gamma        Cox, Gamma    FALSE #> 15601  976 0.7553050 0.143657040  fv      Gamma        Cox, Gamma    FALSE #> 15617  977 0.8486740 0.158219365  fv      Gamma        Cox, Gamma    FALSE #> 15633  978 0.8302479 0.159751197  fv      Gamma        Cox, Gamma    FALSE #> 15649  979 0.8144014 0.157040892  fv      Gamma        Cox, Gamma    FALSE #> 15665  980 0.5347503 0.104809583  fv      Gamma        Cox, Gamma    FALSE #> 15681  981 0.7146458 0.137812497  fv      Gamma        Cox, Gamma    FALSE #> 15697  982 0.9672795 0.181190607  fv      Gamma        Cox, Gamma    FALSE #> 15713  983 0.5328782 0.105163422  fv      Gamma        Cox, Gamma    FALSE #> 15729  984 0.7516136 0.142836565  fv      Gamma        Cox, Gamma    FALSE #> 15745  985 0.8197373 0.157629048  fv      Gamma        Cox, Gamma    FALSE #> 15761  986 0.6112163 0.117185425  fv      Gamma        Cox, Gamma    FALSE #> 15777  987 0.5479787 0.107370042  fv      Gamma        Cox, Gamma    FALSE #> 15793  988 0.6274646 0.121024201  fv      Gamma        Cox, Gamma    FALSE #> 15809  989 0.7944407 0.149409280  fv      Gamma        Cox, Gamma    FALSE #> 15825  990 0.7107532 0.134620748  fv      Gamma        Cox, Gamma    FALSE #> 15841  991 0.7552528 0.144020517  fv      Gamma        Cox, Gamma    FALSE #> 15857  992 0.7777255 0.148341692  fv      Gamma        Cox, Gamma    FALSE #> 15873  993 0.9434033 0.174832389  fv      Gamma        Cox, Gamma    FALSE #> 15889  994 0.6601987 0.127035638  fv      Gamma        Cox, Gamma    FALSE #> 15905  995 0.8169684 0.154338190  fv      Gamma        Cox, Gamma    FALSE #> 15921  996 0.6693038 0.128326952  fv      Gamma        Cox, Gamma    FALSE #> 15937  997 0.6015899 0.120247558  fv      Gamma        Cox, Gamma    FALSE #> 15953  998 0.6444796          NA  fv      Gamma        Cox, Gamma       NA #> 15969  999 0.5082930 0.099750960  fv      Gamma        Cox, Gamma    FALSE #> 15985 1000 0.4986563 0.099227493  fv      Gamma        Cox, Gamma    FALSE #> 2        1 0.8396248 0.166336769  fv      Gamma   Cox, Log-Normal    FALSE #> 18       2 0.8654809 0.287973324  fv      Gamma   Cox, Log-Normal    FALSE #> 34       3 1.5533362 0.443124033  fv      Gamma   Cox, Log-Normal     TRUE #> 50       4 1.2021700 0.231528152  fv      Gamma   Cox, Log-Normal    FALSE #> 66       5 0.9069256 0.231546211  fv      Gamma   Cox, Log-Normal    FALSE #> 82       6 0.9705696 0.123099170  fv      Gamma   Cox, Log-Normal    FALSE #> 98       7 0.9037494 0.210255478  fv      Gamma   Cox, Log-Normal    FALSE #> 114      8 1.3330730 0.290669413  fv      Gamma   Cox, Log-Normal    FALSE #> 130      9 1.2289061 0.328816511  fv      Gamma   Cox, Log-Normal    FALSE #> 146     10 0.9917595 0.216966969  fv      Gamma   Cox, Log-Normal    FALSE #> 162     11 1.0384351 0.279205813  fv      Gamma   Cox, Log-Normal    FALSE #> 178     12 1.4401730 0.363584050  fv      Gamma   Cox, Log-Normal    FALSE #> 194     13 1.1820887 0.272273545  fv      Gamma   Cox, Log-Normal    FALSE #> 210     14 0.7876591 0.215587735  fv      Gamma   Cox, Log-Normal    FALSE #> 226     15 1.1958391 0.297749174  fv      Gamma   Cox, Log-Normal    FALSE #> 242     16 1.2056374 0.239853982  fv      Gamma   Cox, Log-Normal    FALSE #> 258     17 0.7638555 0.152259647  fv      Gamma   Cox, Log-Normal    FALSE #> 274     18 0.5600481 0.242034309  fv      Gamma   Cox, Log-Normal    FALSE #> 290     19 0.8972620 0.206362814  fv      Gamma   Cox, Log-Normal    FALSE #> 306     20 1.2974784 0.351726424  fv      Gamma   Cox, Log-Normal    FALSE #> 322     21 0.6876797 0.226521087  fv      Gamma   Cox, Log-Normal    FALSE #> 338     22 1.2148856 0.314376529  fv      Gamma   Cox, Log-Normal    FALSE #> 354     23 0.8145580 0.191955407  fv      Gamma   Cox, Log-Normal    FALSE #> 370     24 1.0265042 0.210536939  fv      Gamma   Cox, Log-Normal    FALSE #> 386     25 1.1179286 0.310945298  fv      Gamma   Cox, Log-Normal    FALSE #> 402     26 0.9579917 0.258514556  fv      Gamma   Cox, Log-Normal    FALSE #> 418     27 1.7975474 0.493417117  fv      Gamma   Cox, Log-Normal     TRUE #> 434     28 1.4423476 0.315633062  fv      Gamma   Cox, Log-Normal    FALSE #> 450     29 1.2699356 0.241097065  fv      Gamma   Cox, Log-Normal    FALSE #> 466     30 1.4047494 0.406179915  fv      Gamma   Cox, Log-Normal    FALSE #> 482     31 0.8005746 0.266232147  fv      Gamma   Cox, Log-Normal    FALSE #> 498     32 0.9957436 0.261294995  fv      Gamma   Cox, Log-Normal    FALSE #> 514     33 0.8044589 0.172836665  fv      Gamma   Cox, Log-Normal    FALSE #> 530     34 0.7033578 0.165484797  fv      Gamma   Cox, Log-Normal    FALSE #> 546     35 1.0301148 0.275033997  fv      Gamma   Cox, Log-Normal    FALSE #> 562     36 0.7542718 0.277262843  fv      Gamma   Cox, Log-Normal    FALSE #> 578     37 0.7112477 0.143086191  fv      Gamma   Cox, Log-Normal    FALSE #> 594     38 0.6321543 0.120638937  fv      Gamma   Cox, Log-Normal    FALSE #> 610     39 0.9190196 0.162403199  fv      Gamma   Cox, Log-Normal    FALSE #> 626     40 0.5901511 0.153295406  fv      Gamma   Cox, Log-Normal    FALSE #> 642     41 1.6955260 0.274068495  fv      Gamma   Cox, Log-Normal     TRUE #> 658     42 0.9786594 0.338436250  fv      Gamma   Cox, Log-Normal    FALSE #> 674     43 1.0846014 0.238001169  fv      Gamma   Cox, Log-Normal    FALSE #> 690     44 1.0670686 0.209168137  fv      Gamma   Cox, Log-Normal    FALSE #> 706     45 0.9094972 0.153713130  fv      Gamma   Cox, Log-Normal    FALSE #> 722     46 0.8628380 0.143624017  fv      Gamma   Cox, Log-Normal    FALSE #> 738     47 1.3744833 0.379085783  fv      Gamma   Cox, Log-Normal    FALSE #> 754     48 0.9447438 0.241373759  fv      Gamma   Cox, Log-Normal    FALSE #> 770     49 1.2051056 0.332843614  fv      Gamma   Cox, Log-Normal    FALSE #> 786     50 1.0122736 0.235362960  fv      Gamma   Cox, Log-Normal    FALSE #> 802     51 1.2202208 0.297438475  fv      Gamma   Cox, Log-Normal    FALSE #> 818     52 0.6319282 0.158343089  fv      Gamma   Cox, Log-Normal    FALSE #> 834     53 0.7892154 0.148666919  fv      Gamma   Cox, Log-Normal    FALSE #> 850     54 0.6218626 0.147453939  fv      Gamma   Cox, Log-Normal    FALSE #> 866     55 1.0992895 0.242091300  fv      Gamma   Cox, Log-Normal    FALSE #> 882     56 0.7880115 0.207821575  fv      Gamma   Cox, Log-Normal    FALSE #> 898     57 1.0838536 0.252999308  fv      Gamma   Cox, Log-Normal    FALSE #> 914     58 0.9053863 0.269296974  fv      Gamma   Cox, Log-Normal    FALSE #> 930     59 0.8521828 0.183532101  fv      Gamma   Cox, Log-Normal    FALSE #> 946     60 1.1226700 0.315581488  fv      Gamma   Cox, Log-Normal    FALSE #> 962     61 0.8470775 0.165184536  fv      Gamma   Cox, Log-Normal    FALSE #> 978     62 0.6807293 0.158237205  fv      Gamma   Cox, Log-Normal    FALSE #> 994     63 1.1740857 0.253571694  fv      Gamma   Cox, Log-Normal    FALSE #> 1010    64 0.8143805 0.154909462  fv      Gamma   Cox, Log-Normal    FALSE #> 1026    65 0.8776911 0.151461233  fv      Gamma   Cox, Log-Normal    FALSE #> 1042    66 0.6450936 0.146446549  fv      Gamma   Cox, Log-Normal    FALSE #> 1058    67 1.1252565 0.202649366  fv      Gamma   Cox, Log-Normal    FALSE #> 1074    68 0.9440104 0.190197229  fv      Gamma   Cox, Log-Normal    FALSE #> 1090    69 0.6562820 0.142885574  fv      Gamma   Cox, Log-Normal    FALSE #> 1106    70 0.8936893 0.304947589  fv      Gamma   Cox, Log-Normal    FALSE #> 1122    71 1.2357687 0.253047569  fv      Gamma   Cox, Log-Normal    FALSE #> 1138    72 0.7974302 0.195318813  fv      Gamma   Cox, Log-Normal    FALSE #> 1154    73 0.5968091 0.117975560  fv      Gamma   Cox, Log-Normal    FALSE #> 1170    74 0.8786436 0.164497228  fv      Gamma   Cox, Log-Normal    FALSE #> 1186    75 0.9750754 0.226532064  fv      Gamma   Cox, Log-Normal    FALSE #> 1202    76 0.9645318 0.277393275  fv      Gamma   Cox, Log-Normal    FALSE #> 1218    77 1.0142834 0.249169464  fv      Gamma   Cox, Log-Normal    FALSE #> 1234    78 1.4324625 0.392466363  fv      Gamma   Cox, Log-Normal    FALSE #> 1250    79 2.0973063 0.420079538  fv      Gamma   Cox, Log-Normal     TRUE #> 1266    80 0.7760451 0.266768649  fv      Gamma   Cox, Log-Normal    FALSE #> 1282    81 1.2518287 0.326399591  fv      Gamma   Cox, Log-Normal    FALSE #> 1298    82 0.9445711 0.170469026  fv      Gamma   Cox, Log-Normal    FALSE #> 1314    83 0.6203977 0.269831486  fv      Gamma   Cox, Log-Normal    FALSE #> 1330    84 0.9623414 0.181377810  fv      Gamma   Cox, Log-Normal    FALSE #> 1346    85 0.8411381 0.151718027  fv      Gamma   Cox, Log-Normal    FALSE #> 1362    86 0.8777074 0.173496863  fv      Gamma   Cox, Log-Normal    FALSE #> 1378    87 0.7852935 0.148358262  fv      Gamma   Cox, Log-Normal    FALSE #> 1394    88 0.8880239 0.169358612  fv      Gamma   Cox, Log-Normal    FALSE #> 1410    89 1.0105583 0.218935211  fv      Gamma   Cox, Log-Normal    FALSE #> 1426    90 1.1248867 0.226352162  fv      Gamma   Cox, Log-Normal    FALSE #> 1442    91 0.9313413 0.176657570  fv      Gamma   Cox, Log-Normal    FALSE #> 1458    92 0.8291607 0.161043102  fv      Gamma   Cox, Log-Normal    FALSE #> 1474    93 1.4062271 0.492947581  fv      Gamma   Cox, Log-Normal     TRUE #> 1490    94 1.1792259 0.371694722  fv      Gamma   Cox, Log-Normal    FALSE #> 1506    95 0.9422527 0.186808785  fv      Gamma   Cox, Log-Normal    FALSE #> 1522    96 0.5352317 0.122349552  fv      Gamma   Cox, Log-Normal    FALSE #> 1538    97 0.7041875 0.129219142  fv      Gamma   Cox, Log-Normal    FALSE #> 1554    98 1.0580233 0.191281068  fv      Gamma   Cox, Log-Normal    FALSE #> 1570    99 0.7207367 0.195627282  fv      Gamma   Cox, Log-Normal    FALSE #> 1586   100 1.2143961 0.232039398  fv      Gamma   Cox, Log-Normal    FALSE #> 1602   101 1.1645575 0.202974678  fv      Gamma   Cox, Log-Normal    FALSE #> 1618   102 0.9260904 0.205704353  fv      Gamma   Cox, Log-Normal    FALSE #> 1634   103 1.3313203 0.415434246  fv      Gamma   Cox, Log-Normal    FALSE #> 1650   104 1.0674271 0.230488475  fv      Gamma   Cox, Log-Normal    FALSE #> 1666   105 1.2580642 0.312120608  fv      Gamma   Cox, Log-Normal    FALSE #> 1682   106 0.8964461 0.176933658  fv      Gamma   Cox, Log-Normal    FALSE #> 1698   107 1.3021989 0.320620447  fv      Gamma   Cox, Log-Normal    FALSE #> 1714   108 1.1976726 0.374873974  fv      Gamma   Cox, Log-Normal    FALSE #> 1730   109 0.9569265 0.273685851  fv      Gamma   Cox, Log-Normal    FALSE #> 1746   110 1.0515898 0.268561562  fv      Gamma   Cox, Log-Normal    FALSE #> 1762   111 1.1520637 0.261829502  fv      Gamma   Cox, Log-Normal    FALSE #> 1778   112 0.5659670 0.130417896  fv      Gamma   Cox, Log-Normal    FALSE #> 1794   113 0.6317424 0.122015603  fv      Gamma   Cox, Log-Normal    FALSE #> 1810   114 1.6902270 0.334508909  fv      Gamma   Cox, Log-Normal     TRUE #> 1826   115 0.8076343 0.168987445  fv      Gamma   Cox, Log-Normal    FALSE #> 1842   116 0.5972826 0.130764421  fv      Gamma   Cox, Log-Normal    FALSE #> 1858   117 1.0718606 0.210925331  fv      Gamma   Cox, Log-Normal    FALSE #> 1874   118 0.6408203 0.135263593  fv      Gamma   Cox, Log-Normal    FALSE #> 1890   119 0.7973938 0.174571464  fv      Gamma   Cox, Log-Normal    FALSE #> 1906   120 0.9153147 0.177857493  fv      Gamma   Cox, Log-Normal    FALSE #> 1922   121 0.7644599 0.150392418  fv      Gamma   Cox, Log-Normal    FALSE #> 1938   122 0.8651735 0.261036284  fv      Gamma   Cox, Log-Normal    FALSE #> 1954   123 0.9257951 0.187252850  fv      Gamma   Cox, Log-Normal    FALSE #> 1970   124 0.9726617 0.154366389  fv      Gamma   Cox, Log-Normal    FALSE #> 1986   125 1.2347948 0.317895986  fv      Gamma   Cox, Log-Normal    FALSE #> 2002   126 1.5107344 0.412559767  fv      Gamma   Cox, Log-Normal    FALSE #> 2018   127 1.0864985 0.244291312  fv      Gamma   Cox, Log-Normal    FALSE #> 2034   128 1.0878460 0.217467789  fv      Gamma   Cox, Log-Normal    FALSE #> 2050   129 0.7731209 0.303435174  fv      Gamma   Cox, Log-Normal    FALSE #> 2066   130 0.8530204 0.197021469  fv      Gamma   Cox, Log-Normal    FALSE #> 2082   131 0.8648655 0.165310174  fv      Gamma   Cox, Log-Normal    FALSE #> 2098   132 1.0140972 0.302995158  fv      Gamma   Cox, Log-Normal    FALSE #> 2114   133 0.9104868 0.221438344  fv      Gamma   Cox, Log-Normal    FALSE #> 2130   134 1.0784862 0.271217304  fv      Gamma   Cox, Log-Normal    FALSE #> 2146   135 0.7869113 0.180651674  fv      Gamma   Cox, Log-Normal    FALSE #> 2162   136 0.9755650 0.258643410  fv      Gamma   Cox, Log-Normal    FALSE #> 2178   137 1.2555462 0.298280359  fv      Gamma   Cox, Log-Normal    FALSE #> 2194   138 1.2653651 0.320038448  fv      Gamma   Cox, Log-Normal    FALSE #> 2210   139 0.7961798 0.144604970  fv      Gamma   Cox, Log-Normal    FALSE #> 2226   140 1.0511116 0.243823137  fv      Gamma   Cox, Log-Normal    FALSE #> 2242   141 0.7462247 0.208792390  fv      Gamma   Cox, Log-Normal    FALSE #> 2258   142 0.9738903 0.212138716  fv      Gamma   Cox, Log-Normal    FALSE #> 2274   143 1.5330380 0.537623136  fv      Gamma   Cox, Log-Normal     TRUE #> 2290   144 1.1149075 0.230445555  fv      Gamma   Cox, Log-Normal    FALSE #> 2306   145 0.8547372 0.185823683  fv      Gamma   Cox, Log-Normal    FALSE #> 2322   146 0.8861187 0.183574772  fv      Gamma   Cox, Log-Normal    FALSE #> 2338   147 1.0399587 0.194159810  fv      Gamma   Cox, Log-Normal    FALSE #> 2354   148 0.6173024 0.109281577  fv      Gamma   Cox, Log-Normal    FALSE #> 2370   149 0.8373295 0.191571256  fv      Gamma   Cox, Log-Normal    FALSE #> 2386   150 1.1780887 0.217442230  fv      Gamma   Cox, Log-Normal    FALSE #> 2402   151 1.1285433 0.226278803  fv      Gamma   Cox, Log-Normal    FALSE #> 2418   152 1.1992517 0.394939611  fv      Gamma   Cox, Log-Normal    FALSE #> 2434   153 0.6319684 0.172725513  fv      Gamma   Cox, Log-Normal    FALSE #> 2450   154 1.1200567 0.236910662  fv      Gamma   Cox, Log-Normal    FALSE #> 2466   155 0.9404373 0.309352450  fv      Gamma   Cox, Log-Normal    FALSE #> 2482   156 0.9335558 0.170459226  fv      Gamma   Cox, Log-Normal    FALSE #> 2498   157 1.4355503 0.361703696  fv      Gamma   Cox, Log-Normal    FALSE #> 2514   158 1.4701395 0.366841193  fv      Gamma   Cox, Log-Normal    FALSE #> 2530   159 0.6612553 0.189431483  fv      Gamma   Cox, Log-Normal    FALSE #> 2546   160 0.6884649 0.160081027  fv      Gamma   Cox, Log-Normal    FALSE #> 2562   161 1.7235061 0.366167519  fv      Gamma   Cox, Log-Normal     TRUE #> 2578   162 0.9637307 0.277366991  fv      Gamma   Cox, Log-Normal    FALSE #> 2594   163 0.6826128 0.123999357  fv      Gamma   Cox, Log-Normal    FALSE #> 2610   164 1.2137278 0.254986878  fv      Gamma   Cox, Log-Normal    FALSE #> 2626   165 1.0759865 0.243107518  fv      Gamma   Cox, Log-Normal    FALSE #> 2642   166 1.1514913 0.353009050  fv      Gamma   Cox, Log-Normal    FALSE #> 2658   167 1.3171715 0.267054689  fv      Gamma   Cox, Log-Normal    FALSE #> 2674   168 1.0866206 0.235629785  fv      Gamma   Cox, Log-Normal    FALSE #> 2690   169 0.9467015 0.224115190  fv      Gamma   Cox, Log-Normal    FALSE #> 2706   170 0.9395929 0.217597367  fv      Gamma   Cox, Log-Normal    FALSE #> 2722   171 0.9618300 0.263408111  fv      Gamma   Cox, Log-Normal    FALSE #> 2738   172 1.1425683 0.242325710  fv      Gamma   Cox, Log-Normal    FALSE #> 2754   173 0.7877272 0.217794070  fv      Gamma   Cox, Log-Normal    FALSE #> 2770   174 1.1282426 0.267735233  fv      Gamma   Cox, Log-Normal    FALSE #> 2786   175 0.8178924 0.230738271  fv      Gamma   Cox, Log-Normal    FALSE #> 2802   176 0.8741514 0.162586064  fv      Gamma   Cox, Log-Normal    FALSE #> 2818   177 0.7687814 0.283467846  fv      Gamma   Cox, Log-Normal    FALSE #> 2834   178 1.1744687 0.211056326  fv      Gamma   Cox, Log-Normal    FALSE #> 2850   179 0.7526095 0.150027385  fv      Gamma   Cox, Log-Normal    FALSE #> 2866   180 1.0216310 0.316148826  fv      Gamma   Cox, Log-Normal    FALSE #> 2882   181 1.1712040 0.260266639  fv      Gamma   Cox, Log-Normal    FALSE #> 2898   182 0.9333976 0.175417306  fv      Gamma   Cox, Log-Normal    FALSE #> 2914   183 0.7609429 0.152764885  fv      Gamma   Cox, Log-Normal    FALSE #> 2930   184 0.9364676 0.263118357  fv      Gamma   Cox, Log-Normal    FALSE #> 2946   185 1.1970108 0.256427056  fv      Gamma   Cox, Log-Normal    FALSE #> 2962   186 1.3811930 0.386834280  fv      Gamma   Cox, Log-Normal    FALSE #> 2978   187 0.9677626 0.218961822  fv      Gamma   Cox, Log-Normal    FALSE #> 2994   188 0.6677381 0.129193425  fv      Gamma   Cox, Log-Normal    FALSE #> 3010   189 1.0300136 0.181675457  fv      Gamma   Cox, Log-Normal    FALSE #> 3026   190 0.9781161 0.186623640  fv      Gamma   Cox, Log-Normal    FALSE #> 3042   191 1.0047812 0.234422284  fv      Gamma   Cox, Log-Normal    FALSE #> 3058   192 1.0481335 0.313856424  fv      Gamma   Cox, Log-Normal    FALSE #> 3074   193 0.8578876 0.206851646  fv      Gamma   Cox, Log-Normal    FALSE #> 3090   194 0.8025329 0.177765199  fv      Gamma   Cox, Log-Normal    FALSE #> 3106   195 1.0948348 0.189268663  fv      Gamma   Cox, Log-Normal    FALSE #> 3122   196 1.1531601 0.315355691  fv      Gamma   Cox, Log-Normal    FALSE #> 3138   197 0.9174118 0.146017107  fv      Gamma   Cox, Log-Normal    FALSE #> 3154   198 0.9822719 0.160214536  fv      Gamma   Cox, Log-Normal    FALSE #> 3170   199 0.7665154 0.178048907  fv      Gamma   Cox, Log-Normal    FALSE #> 3186   200 1.0827449 0.216626911  fv      Gamma   Cox, Log-Normal    FALSE #> 3202   201 1.0550061 0.243012425  fv      Gamma   Cox, Log-Normal    FALSE #> 3218   202 1.0972858 0.215662323  fv      Gamma   Cox, Log-Normal    FALSE #> 3234   203 0.9855765 0.182481322  fv      Gamma   Cox, Log-Normal    FALSE #> 3250   204 1.0561904 0.348906497  fv      Gamma   Cox, Log-Normal    FALSE #> 3266   205 0.7564109 0.205512464  fv      Gamma   Cox, Log-Normal    FALSE #> 3282   206 1.0125371 0.222694936  fv      Gamma   Cox, Log-Normal    FALSE #> 3298   207 0.6826566 0.147213825  fv      Gamma   Cox, Log-Normal    FALSE #> 3314   208 0.9760813 0.224712745  fv      Gamma   Cox, Log-Normal    FALSE #> 3330   209 0.9269613 0.220844066  fv      Gamma   Cox, Log-Normal    FALSE #> 3346   210 0.9133674 0.231763968  fv      Gamma   Cox, Log-Normal    FALSE #> 3362   211 1.4904914 0.390725669  fv      Gamma   Cox, Log-Normal    FALSE #> 3378   212 0.9920371 0.255836508  fv      Gamma   Cox, Log-Normal    FALSE #> 3394   213 1.1118333 0.294714345  fv      Gamma   Cox, Log-Normal    FALSE #> 3410   214 1.0039471 0.304092232  fv      Gamma   Cox, Log-Normal    FALSE #> 3426   215 1.1241297 0.264189786  fv      Gamma   Cox, Log-Normal    FALSE #> 3442   216 1.2582014 0.301083523  fv      Gamma   Cox, Log-Normal    FALSE #> 3458   217 0.8366225 0.210156062  fv      Gamma   Cox, Log-Normal    FALSE #> 3474   218 0.8448105 0.236493852  fv      Gamma   Cox, Log-Normal    FALSE #> 3490   219 1.2107113 0.347155926  fv      Gamma   Cox, Log-Normal    FALSE #> 3506   220 0.7158888 0.136382455  fv      Gamma   Cox, Log-Normal    FALSE #> 3522   221 0.9339555 0.266680492  fv      Gamma   Cox, Log-Normal    FALSE #> 3538   222 1.1192118 0.312072336  fv      Gamma   Cox, Log-Normal    FALSE #> 3554   223 1.0452753 0.280574246  fv      Gamma   Cox, Log-Normal    FALSE #> 3570   224 1.0115289 0.233439970  fv      Gamma   Cox, Log-Normal    FALSE #> 3586   225 0.8032168 0.161726631  fv      Gamma   Cox, Log-Normal    FALSE #> 3602   226 1.3087768 0.413967329  fv      Gamma   Cox, Log-Normal    FALSE #> 3618   227 0.8661987 0.237439745  fv      Gamma   Cox, Log-Normal    FALSE #> 3634   228 1.1166755 0.216930095  fv      Gamma   Cox, Log-Normal    FALSE #> 3650   229 1.1105627 0.275511999  fv      Gamma   Cox, Log-Normal    FALSE #> 3666   230 0.8823663 0.147648628  fv      Gamma   Cox, Log-Normal    FALSE #> 3682   231 1.1464490 0.264342378  fv      Gamma   Cox, Log-Normal    FALSE #> 3698   232 1.0282286 0.294509349  fv      Gamma   Cox, Log-Normal    FALSE #> 3714   233 1.1858851 0.308748988  fv      Gamma   Cox, Log-Normal    FALSE #> 3730   234 0.9141730 0.234737862  fv      Gamma   Cox, Log-Normal    FALSE #> 3746   235 1.1254600 0.356891640  fv      Gamma   Cox, Log-Normal    FALSE #> 3762   236 0.6441731 0.174629945  fv      Gamma   Cox, Log-Normal    FALSE #> 3778   237 0.8396326 0.205428196  fv      Gamma   Cox, Log-Normal    FALSE #> 3794   238 0.8108753 0.210967352  fv      Gamma   Cox, Log-Normal    FALSE #> 3810   239 0.9353923 0.175452236  fv      Gamma   Cox, Log-Normal    FALSE #> 3826   240 1.1534031 0.316909074  fv      Gamma   Cox, Log-Normal    FALSE #> 3842   241 0.8525632 0.153161651  fv      Gamma   Cox, Log-Normal    FALSE #> 3858   242 0.6325823 0.110859718  fv      Gamma   Cox, Log-Normal    FALSE #> 3874   243 1.3438274 0.504696267  fv      Gamma   Cox, Log-Normal     TRUE #> 3890   244 0.6847331 0.117664089  fv      Gamma   Cox, Log-Normal    FALSE #> 3906   245 1.5084013 0.416220066  fv      Gamma   Cox, Log-Normal    FALSE #> 3922   246 0.8600815 0.160092148  fv      Gamma   Cox, Log-Normal    FALSE #> 3938   247 1.0459691 0.247888885  fv      Gamma   Cox, Log-Normal    FALSE #> 3954   248 1.3774923 0.295724239  fv      Gamma   Cox, Log-Normal    FALSE #> 3970   249 1.4544026 0.401018407  fv      Gamma   Cox, Log-Normal    FALSE #> 3986   250 0.9930866 0.252367133  fv      Gamma   Cox, Log-Normal    FALSE #> 4002   251 1.0750961 0.286717462  fv      Gamma   Cox, Log-Normal    FALSE #> 4018   252 1.1463194 0.342407069  fv      Gamma   Cox, Log-Normal    FALSE #> 4034   253 1.2383183 0.401788395  fv      Gamma   Cox, Log-Normal    FALSE #> 4050   254 0.6184252 0.098351797  fv      Gamma   Cox, Log-Normal    FALSE #> 4066   255 0.9288740 0.135923481  fv      Gamma   Cox, Log-Normal    FALSE #> 4082   256 0.9116082 0.198199738  fv      Gamma   Cox, Log-Normal    FALSE #> 4098   257 0.6749869 0.129906431  fv      Gamma   Cox, Log-Normal    FALSE #> 4114   258 1.0142908 0.337359222  fv      Gamma   Cox, Log-Normal    FALSE #> 4130   259 0.9440221 0.210134843  fv      Gamma   Cox, Log-Normal    FALSE #> 4146   260 1.1202138 0.249898993  fv      Gamma   Cox, Log-Normal    FALSE #> 4162   261 0.5960250 0.118672454  fv      Gamma   Cox, Log-Normal    FALSE #> 4178   262 0.8366969 0.176398436  fv      Gamma   Cox, Log-Normal    FALSE #> 4194   263 0.7871702 0.205713317  fv      Gamma   Cox, Log-Normal    FALSE #> 4210   264 0.6057126 0.113149327  fv      Gamma   Cox, Log-Normal    FALSE #> 4226   265 0.7758375 0.147043597  fv      Gamma   Cox, Log-Normal    FALSE #> 4242   266 0.8500845 0.224891518  fv      Gamma   Cox, Log-Normal    FALSE #> 4258   267 0.9199981 0.195893000  fv      Gamma   Cox, Log-Normal    FALSE #> 4274   268 0.9880338 0.209263821  fv      Gamma   Cox, Log-Normal    FALSE #> 4290   269 1.6572488 0.438643117  fv      Gamma   Cox, Log-Normal     TRUE #> 4306   270 1.2169293 0.315454041  fv      Gamma   Cox, Log-Normal    FALSE #> 4322   271 1.2092937 0.306710304  fv      Gamma   Cox, Log-Normal    FALSE #> 4338   272 0.7054006 0.192228252  fv      Gamma   Cox, Log-Normal    FALSE #> 4354   273 0.8125655 0.154642396  fv      Gamma   Cox, Log-Normal    FALSE #> 4370   274 0.9034828 0.186117871  fv      Gamma   Cox, Log-Normal    FALSE #> 4386   275 1.1334718 0.225436721  fv      Gamma   Cox, Log-Normal    FALSE #> 4402   276 1.0808167 0.354131546  fv      Gamma   Cox, Log-Normal    FALSE #> 4418   277 0.8663479 0.141176671  fv      Gamma   Cox, Log-Normal    FALSE #> 4434   278 1.0154270 0.195194389  fv      Gamma   Cox, Log-Normal    FALSE #> 4450   279 0.9972416 0.246791708  fv      Gamma   Cox, Log-Normal    FALSE #> 4466   280 0.9485671 0.192665901  fv      Gamma   Cox, Log-Normal    FALSE #> 4482   281 1.5419471 0.432963938  fv      Gamma   Cox, Log-Normal     TRUE #> 4498   282 0.7366272 0.154485998  fv      Gamma   Cox, Log-Normal    FALSE #> 4514   283 1.1387523 0.351311035  fv      Gamma   Cox, Log-Normal    FALSE #> 4530   284 0.7606273 0.130651621  fv      Gamma   Cox, Log-Normal    FALSE #> 4546   285 0.5940809 0.114410663  fv      Gamma   Cox, Log-Normal    FALSE #> 4562   286 0.9980889 0.165993278  fv      Gamma   Cox, Log-Normal    FALSE #> 4578   287 0.7786292 0.173527925  fv      Gamma   Cox, Log-Normal    FALSE #> 4594   288 1.8012469 0.384382846  fv      Gamma   Cox, Log-Normal     TRUE #> 4610   289 0.8352625 0.230080256  fv      Gamma   Cox, Log-Normal    FALSE #> 4626   290 0.7462650 0.161150218  fv      Gamma   Cox, Log-Normal    FALSE #> 4642   291 0.7581738 0.185194416  fv      Gamma   Cox, Log-Normal    FALSE #> 4658   292 0.7315072 0.136632050  fv      Gamma   Cox, Log-Normal    FALSE #> 4674   293 1.1794738 0.263230250  fv      Gamma   Cox, Log-Normal    FALSE #> 4690   294 0.8364797 0.177888851  fv      Gamma   Cox, Log-Normal    FALSE #> 4706   295 1.5702252 0.363660287  fv      Gamma   Cox, Log-Normal    FALSE #> 4722   296 1.0030032 0.212419723  fv      Gamma   Cox, Log-Normal    FALSE #> 4738   297 1.7048282 0.324692247  fv      Gamma   Cox, Log-Normal     TRUE #> 4754   298 0.6792576 0.124013511  fv      Gamma   Cox, Log-Normal    FALSE #> 4770   299 0.7179893 0.156934076  fv      Gamma   Cox, Log-Normal    FALSE #> 4786   300 1.1245685 0.198322193  fv      Gamma   Cox, Log-Normal    FALSE #> 4802   301 0.6708749 0.171248942  fv      Gamma   Cox, Log-Normal    FALSE #> 4818   302 1.0425587 0.181386611  fv      Gamma   Cox, Log-Normal    FALSE #> 4834   303 0.7687011 0.144588971  fv      Gamma   Cox, Log-Normal    FALSE #> 4850   304 0.8183131 0.180688666  fv      Gamma   Cox, Log-Normal    FALSE #> 4866   305 1.1994373 0.254185287  fv      Gamma   Cox, Log-Normal    FALSE #> 4882   306 0.9480399 0.206670969  fv      Gamma   Cox, Log-Normal    FALSE #> 4898   307 1.0547876 0.317754660  fv      Gamma   Cox, Log-Normal    FALSE #> 4914   308 0.8707234 0.206289074  fv      Gamma   Cox, Log-Normal    FALSE #> 4930   309 1.0009221 0.187321610  fv      Gamma   Cox, Log-Normal    FALSE #> 4946   310 1.5183534 0.350397464  fv      Gamma   Cox, Log-Normal    FALSE #> 4962   311 1.2122527 0.296579713  fv      Gamma   Cox, Log-Normal    FALSE #> 4978   312 1.8443405 0.479858067  fv      Gamma   Cox, Log-Normal     TRUE #> 4994   313 1.1266272 0.250518734  fv      Gamma   Cox, Log-Normal    FALSE #> 5010   314 0.9134451 0.223254762  fv      Gamma   Cox, Log-Normal    FALSE #> 5026   315 1.0694137 0.206784794  fv      Gamma   Cox, Log-Normal    FALSE #> 5042   316 1.5557750 0.331763485  fv      Gamma   Cox, Log-Normal    FALSE #> 5058   317 0.7900325 0.184343319  fv      Gamma   Cox, Log-Normal    FALSE #> 5074   318 0.9676750 0.285161091  fv      Gamma   Cox, Log-Normal    FALSE #> 5090   319 0.7534842 0.186475417  fv      Gamma   Cox, Log-Normal    FALSE #> 5106   320 0.7587523 0.158245032  fv      Gamma   Cox, Log-Normal    FALSE #> 5122   321 1.3296280 0.289607929  fv      Gamma   Cox, Log-Normal    FALSE #> 5138   322 0.6540554 0.153362582  fv      Gamma   Cox, Log-Normal    FALSE #> 5154   323 1.1866786 0.246796331  fv      Gamma   Cox, Log-Normal    FALSE #> 5170   324 0.7879666 0.235532790  fv      Gamma   Cox, Log-Normal    FALSE #> 5186   325 0.9063958 0.177813514  fv      Gamma   Cox, Log-Normal    FALSE #> 5202   326 0.8994038 0.180708837  fv      Gamma   Cox, Log-Normal    FALSE #> 5218   327 0.9343756 0.199207745  fv      Gamma   Cox, Log-Normal    FALSE #> 5234   328 1.4427292 0.367840271  fv      Gamma   Cox, Log-Normal    FALSE #> 5250   329 1.2314166 0.320033252  fv      Gamma   Cox, Log-Normal    FALSE #> 5266   330 0.9467010 0.225445798  fv      Gamma   Cox, Log-Normal    FALSE #> 5282   331 1.1330281 0.231943006  fv      Gamma   Cox, Log-Normal    FALSE #> 5298   332 0.7331899 0.197574585  fv      Gamma   Cox, Log-Normal    FALSE #> 5314   333 0.6844227 0.140883756  fv      Gamma   Cox, Log-Normal    FALSE #> 5330   334 1.3781416 0.249637577  fv      Gamma   Cox, Log-Normal    FALSE #> 5346   335 1.0702186 0.271371029  fv      Gamma   Cox, Log-Normal    FALSE #> 5362   336 0.6209932 0.164255992  fv      Gamma   Cox, Log-Normal    FALSE #> 5378   337 0.8421416 0.206148684  fv      Gamma   Cox, Log-Normal    FALSE #> 5394   338 0.7236815 0.112024580  fv      Gamma   Cox, Log-Normal    FALSE #> 5410   339 1.0388795 0.295391600  fv      Gamma   Cox, Log-Normal    FALSE #> 5426   340 1.1095304 0.403572705  fv      Gamma   Cox, Log-Normal    FALSE #> 5442   341 0.6719273 0.137761634  fv      Gamma   Cox, Log-Normal    FALSE #> 5458   342 0.5332889 0.101209542  fv      Gamma   Cox, Log-Normal    FALSE #> 5474   343 0.7748324 0.181756300  fv      Gamma   Cox, Log-Normal    FALSE #> 5490   344 1.3667207 0.352452784  fv      Gamma   Cox, Log-Normal    FALSE #> 5506   345 1.1973392 0.238025218  fv      Gamma   Cox, Log-Normal    FALSE #> 5522   346 1.0638629 0.203973708  fv      Gamma   Cox, Log-Normal    FALSE #> 5538   347 0.9372712 0.157409347  fv      Gamma   Cox, Log-Normal    FALSE #> 5554   348 1.4096446 0.303746493  fv      Gamma   Cox, Log-Normal    FALSE #> 5570   349 1.1515909 0.267338558  fv      Gamma   Cox, Log-Normal    FALSE #> 5586   350 1.0566777 0.204651400  fv      Gamma   Cox, Log-Normal    FALSE #> 5602   351 1.2270499 0.365187960  fv      Gamma   Cox, Log-Normal    FALSE #> 5618   352 1.1384745 0.320730548  fv      Gamma   Cox, Log-Normal    FALSE #> 5634   353 0.6761084 0.151468116  fv      Gamma   Cox, Log-Normal    FALSE #> 5650   354 0.9381758 0.195546224  fv      Gamma   Cox, Log-Normal    FALSE #> 5666   355 1.1119338 0.223665047  fv      Gamma   Cox, Log-Normal    FALSE #> 5682   356 1.0905507 0.292129252  fv      Gamma   Cox, Log-Normal    FALSE #> 5698   357 0.8452529 0.184177665  fv      Gamma   Cox, Log-Normal    FALSE #> 5714   358 0.8066733 0.115900961  fv      Gamma   Cox, Log-Normal    FALSE #> 5730   359 0.8677696 0.265080079  fv      Gamma   Cox, Log-Normal    FALSE #> 5746   360 0.7287289 0.131955369  fv      Gamma   Cox, Log-Normal    FALSE #> 5762   361 1.3008883 0.360862820  fv      Gamma   Cox, Log-Normal    FALSE #> 5778   362 0.5904270 0.130278388  fv      Gamma   Cox, Log-Normal    FALSE #> 5794   363 0.9529346 0.266922925  fv      Gamma   Cox, Log-Normal    FALSE #> 5810   364 0.6480905 0.167160297  fv      Gamma   Cox, Log-Normal    FALSE #> 5826   365 0.9971018 0.330971308  fv      Gamma   Cox, Log-Normal    FALSE #> 5842   366 1.1939180 0.294834729  fv      Gamma   Cox, Log-Normal    FALSE #> 5858   367 1.1703409 0.220120120  fv      Gamma   Cox, Log-Normal    FALSE #> 5874   368 1.1791884 0.429781697  fv      Gamma   Cox, Log-Normal     TRUE #> 5890   369 0.6704603 0.124258362  fv      Gamma   Cox, Log-Normal    FALSE #> 5906   370 0.6437177 0.144677882  fv      Gamma   Cox, Log-Normal    FALSE #> 5922   371 1.0793130 0.276618474  fv      Gamma   Cox, Log-Normal    FALSE #> 5938   372 0.7821637 0.249248520  fv      Gamma   Cox, Log-Normal    FALSE #> 5954   373 0.9198681 0.214796254  fv      Gamma   Cox, Log-Normal    FALSE #> 5970   374 0.7206397 0.140563196  fv      Gamma   Cox, Log-Normal    FALSE #> 5986   375 0.7455317 0.156345249  fv      Gamma   Cox, Log-Normal    FALSE #> 6002   376 0.7820201 0.164687256  fv      Gamma   Cox, Log-Normal    FALSE #> 6018   377 1.2011353 0.333770351  fv      Gamma   Cox, Log-Normal    FALSE #> 6034   378 1.0732917 0.230685922  fv      Gamma   Cox, Log-Normal    FALSE #> 6050   379 0.7956228 0.135068436  fv      Gamma   Cox, Log-Normal    FALSE #> 6066   380 0.9821977 0.202408585  fv      Gamma   Cox, Log-Normal    FALSE #> 6082   381 0.7109656 0.149643496  fv      Gamma   Cox, Log-Normal    FALSE #> 6098   382 0.9332571 0.225055001  fv      Gamma   Cox, Log-Normal    FALSE #> 6114   383 1.4525060 0.252050709  fv      Gamma   Cox, Log-Normal    FALSE #> 6130   384 1.1156376 0.225314386  fv      Gamma   Cox, Log-Normal    FALSE #> 6146   385 0.6937414 0.130805747  fv      Gamma   Cox, Log-Normal    FALSE #> 6162   386 0.4539095 0.143952602  fv      Gamma   Cox, Log-Normal    FALSE #> 6178   387 0.6909378 0.131527306  fv      Gamma   Cox, Log-Normal    FALSE #> 6194   388 0.8732335 0.176442179  fv      Gamma   Cox, Log-Normal    FALSE #> 6210   389 0.6361769 0.145037919  fv      Gamma   Cox, Log-Normal    FALSE #> 6226   390 0.7550553 0.176928641  fv      Gamma   Cox, Log-Normal    FALSE #> 6242   391 0.6148799 0.135829174  fv      Gamma   Cox, Log-Normal    FALSE #> 6258   392 1.1216041 0.230266849  fv      Gamma   Cox, Log-Normal    FALSE #> 6274   393 0.6766989 0.155586331  fv      Gamma   Cox, Log-Normal    FALSE #> 6290   394 1.2809946 0.303295151  fv      Gamma   Cox, Log-Normal    FALSE #> 6306   395 0.9574912 0.257132721  fv      Gamma   Cox, Log-Normal    FALSE #> 6322   396 0.9517729 0.286349874  fv      Gamma   Cox, Log-Normal    FALSE #> 6338   397 1.1124126 0.212177754  fv      Gamma   Cox, Log-Normal    FALSE #> 6354   398 0.9331498 0.195380303  fv      Gamma   Cox, Log-Normal    FALSE #> 6370   399 0.7590104 0.183901117  fv      Gamma   Cox, Log-Normal    FALSE #> 6386   400 0.8141348 0.209282394  fv      Gamma   Cox, Log-Normal    FALSE #> 6402   401 1.1725501 0.302794794  fv      Gamma   Cox, Log-Normal    FALSE #> 6418   402 0.8902602 0.257412268  fv      Gamma   Cox, Log-Normal    FALSE #> 6434   403 0.8519330 0.172126937  fv      Gamma   Cox, Log-Normal    FALSE #> 6450   404 1.0476725 0.336457821  fv      Gamma   Cox, Log-Normal    FALSE #> 6466   405 0.7691769 0.130780437  fv      Gamma   Cox, Log-Normal    FALSE #> 6482   406 0.7361662 0.138962491  fv      Gamma   Cox, Log-Normal    FALSE #> 6498   407 1.0450332 0.255588768  fv      Gamma   Cox, Log-Normal    FALSE #> 6514   408 0.6282204 0.263436321  fv      Gamma   Cox, Log-Normal    FALSE #> 6530   409 1.2675705 0.255827563  fv      Gamma   Cox, Log-Normal    FALSE #> 6546   410 1.4027855 0.405498694  fv      Gamma   Cox, Log-Normal    FALSE #> 6562   411 1.0909367 0.364351515  fv      Gamma   Cox, Log-Normal    FALSE #> 6578   412 0.8247547 0.147850429  fv      Gamma   Cox, Log-Normal    FALSE #> 6594   413 0.9001954 0.207926748  fv      Gamma   Cox, Log-Normal    FALSE #> 6610   414 0.8922666 0.205074388  fv      Gamma   Cox, Log-Normal    FALSE #> 6626   415 1.1201345 0.235581947  fv      Gamma   Cox, Log-Normal    FALSE #> 6642   416 0.7256155 0.151266912  fv      Gamma   Cox, Log-Normal    FALSE #> 6658   417 0.9635329 0.165467319  fv      Gamma   Cox, Log-Normal    FALSE #> 6674   418 0.9579341 0.221398430  fv      Gamma   Cox, Log-Normal    FALSE #> 6690   419 0.8134821 0.226987586  fv      Gamma   Cox, Log-Normal    FALSE #> 6706   420 1.1122495 0.304778954  fv      Gamma   Cox, Log-Normal    FALSE #> 6722   421 1.0634088 0.195189997  fv      Gamma   Cox, Log-Normal    FALSE #> 6738   422 0.9576175 0.239546727  fv      Gamma   Cox, Log-Normal    FALSE #> 6754   423 1.0594321 0.228721736  fv      Gamma   Cox, Log-Normal    FALSE #> 6770   424 0.9597868 0.276897329  fv      Gamma   Cox, Log-Normal    FALSE #> 6786   425 0.7315512 0.180004030  fv      Gamma   Cox, Log-Normal    FALSE #> 6802   426 1.2737580 0.295162754  fv      Gamma   Cox, Log-Normal    FALSE #> 6818   427 0.5082034 0.138832393  fv      Gamma   Cox, Log-Normal    FALSE #> 6834   428 1.4427275 0.408389941  fv      Gamma   Cox, Log-Normal    FALSE #> 6850   429 0.7931159 0.177763555  fv      Gamma   Cox, Log-Normal    FALSE #> 6866   430 0.6869118 0.109383857  fv      Gamma   Cox, Log-Normal    FALSE #> 6882   431 1.0984440 0.245113401  fv      Gamma   Cox, Log-Normal    FALSE #> 6898   432 0.6733838 0.147400668  fv      Gamma   Cox, Log-Normal    FALSE #> 6914   433 1.1186541 0.329798430  fv      Gamma   Cox, Log-Normal    FALSE #> 6930   434 1.2398972 0.222930487  fv      Gamma   Cox, Log-Normal    FALSE #> 6946   435 0.8050301 0.140179777  fv      Gamma   Cox, Log-Normal    FALSE #> 6962   436 1.2438138 0.307965337  fv      Gamma   Cox, Log-Normal    FALSE #> 6978   437 0.8224460 0.126221473  fv      Gamma   Cox, Log-Normal    FALSE #> 6994   438 0.6359268 0.189779025  fv      Gamma   Cox, Log-Normal    FALSE #> 7010   439 0.9316025 0.286812594  fv      Gamma   Cox, Log-Normal    FALSE #> 7026   440 0.8116677 0.150546885  fv      Gamma   Cox, Log-Normal    FALSE #> 7042   441 0.4957894 0.090606260  fv      Gamma   Cox, Log-Normal    FALSE #> 7058   442 0.9920610 0.183115913  fv      Gamma   Cox, Log-Normal    FALSE #> 7074   443 0.6649345 0.222904431  fv      Gamma   Cox, Log-Normal    FALSE #> 7090   444 0.8035197 0.183494932  fv      Gamma   Cox, Log-Normal    FALSE #> 7106   445 1.2090738 0.358004906  fv      Gamma   Cox, Log-Normal    FALSE #> 7122   446 1.0087995 0.220975718  fv      Gamma   Cox, Log-Normal    FALSE #> 7138   447 0.9565913 0.200822801  fv      Gamma   Cox, Log-Normal    FALSE #> 7154   448 1.0441738 0.260365565  fv      Gamma   Cox, Log-Normal    FALSE #> 7170   449 1.1615839 0.216975618  fv      Gamma   Cox, Log-Normal    FALSE #> 7186   450 0.7740953 0.140879888  fv      Gamma   Cox, Log-Normal    FALSE #> 7202   451 1.0692578 0.222198213  fv      Gamma   Cox, Log-Normal    FALSE #> 7218   452 0.6524954 0.123359523  fv      Gamma   Cox, Log-Normal    FALSE #> 7234   453 1.0336945 0.199674407  fv      Gamma   Cox, Log-Normal    FALSE #> 7250   454 0.8403049 0.274222788  fv      Gamma   Cox, Log-Normal    FALSE #> 7266   455 1.0557566 0.225824987  fv      Gamma   Cox, Log-Normal    FALSE #> 7282   456 1.0962428 0.243979297  fv      Gamma   Cox, Log-Normal    FALSE #> 7298   457 1.1029915 0.213750191  fv      Gamma   Cox, Log-Normal    FALSE #> 7314   458 1.2720893 0.351284624  fv      Gamma   Cox, Log-Normal    FALSE #> 7330   459 0.8717904 0.217191101  fv      Gamma   Cox, Log-Normal    FALSE #> 7346   460 0.8326436 0.222186414  fv      Gamma   Cox, Log-Normal    FALSE #> 7362   461 1.0365468 0.264064386  fv      Gamma   Cox, Log-Normal    FALSE #> 7378   462 1.3924264 0.387524188  fv      Gamma   Cox, Log-Normal    FALSE #> 7394   463 0.7356121 0.119417840  fv      Gamma   Cox, Log-Normal    FALSE #> 7410   464 0.6727029 0.179079073  fv      Gamma   Cox, Log-Normal    FALSE #> 7426   465 0.9358999 0.191441499  fv      Gamma   Cox, Log-Normal    FALSE #> 7442   466 1.0797508 0.320286330  fv      Gamma   Cox, Log-Normal    FALSE #> 7458   467 1.2546135 0.331880843  fv      Gamma   Cox, Log-Normal    FALSE #> 7474   468 0.6594459 0.127506910  fv      Gamma   Cox, Log-Normal    FALSE #> 7490   469 1.0773071 0.306539717  fv      Gamma   Cox, Log-Normal    FALSE #> 7506   470 0.9831728 0.182063344  fv      Gamma   Cox, Log-Normal    FALSE #> 7522   471 0.7441140 0.128457720  fv      Gamma   Cox, Log-Normal    FALSE #> 7538   472 1.1705633 0.275046221  fv      Gamma   Cox, Log-Normal    FALSE #> 7554   473 0.7944060 0.160426950  fv      Gamma   Cox, Log-Normal    FALSE #> 7570   474 0.7893312 0.236801144  fv      Gamma   Cox, Log-Normal    FALSE #> 7586   475 1.6420040 0.472204521  fv      Gamma   Cox, Log-Normal     TRUE #> 7602   476 0.6907611 0.179152271  fv      Gamma   Cox, Log-Normal    FALSE #> 7618   477 1.2306596 0.240740348  fv      Gamma   Cox, Log-Normal    FALSE #> 7634   478 0.9703432 0.280043037  fv      Gamma   Cox, Log-Normal    FALSE #> 7650   479 1.2556369 0.278832138  fv      Gamma   Cox, Log-Normal    FALSE #> 7666   480 1.0316289 0.262194195  fv      Gamma   Cox, Log-Normal    FALSE #> 7682   481 0.9069980 0.240001733  fv      Gamma   Cox, Log-Normal    FALSE #> 7698   482 0.8651847 0.324883873  fv      Gamma   Cox, Log-Normal    FALSE #> 7714   483 0.9195134 0.324966495  fv      Gamma   Cox, Log-Normal    FALSE #> 7730   484 0.9354766 0.158821908  fv      Gamma   Cox, Log-Normal    FALSE #> 7746   485 1.0036369 0.235477830  fv      Gamma   Cox, Log-Normal    FALSE #> 7762   486 0.7230942 0.191080579  fv      Gamma   Cox, Log-Normal    FALSE #> 7778   487 1.0953227 0.216107707  fv      Gamma   Cox, Log-Normal    FALSE #> 7794   488 0.9509228 0.341422686  fv      Gamma   Cox, Log-Normal    FALSE #> 7810   489 1.2438654 0.335909184  fv      Gamma   Cox, Log-Normal    FALSE #> 7826   490 1.6108304 0.304536731  fv      Gamma   Cox, Log-Normal     TRUE #> 7842   491 0.8306550 0.168517444  fv      Gamma   Cox, Log-Normal    FALSE #> 7858   492 1.2528581 0.347548040  fv      Gamma   Cox, Log-Normal    FALSE #> 7874   493 1.1141412 0.417141114  fv      Gamma   Cox, Log-Normal    FALSE #> 7890   494 0.8588516 0.179209258  fv      Gamma   Cox, Log-Normal    FALSE #> 7906   495 0.9641937 0.220531498  fv      Gamma   Cox, Log-Normal    FALSE #> 7922   496 0.6759623 0.166289250  fv      Gamma   Cox, Log-Normal    FALSE #> 7938   497 0.9033618 0.200323244  fv      Gamma   Cox, Log-Normal    FALSE #> 7954   498 0.8062435 0.190505432  fv      Gamma   Cox, Log-Normal    FALSE #> 7970   499 1.0779911 0.255751410  fv      Gamma   Cox, Log-Normal    FALSE #> 7986   500 1.2670375 0.297555986  fv      Gamma   Cox, Log-Normal    FALSE #> 8002   501 0.8648506 0.180810911  fv      Gamma   Cox, Log-Normal    FALSE #> 8018   502 1.0364983 0.208051259  fv      Gamma   Cox, Log-Normal    FALSE #> 8034   503 0.7537958 0.149464952  fv      Gamma   Cox, Log-Normal    FALSE #> 8050   504 1.2053252 0.210116068  fv      Gamma   Cox, Log-Normal    FALSE #> 8066   505 1.4316809 0.361150122  fv      Gamma   Cox, Log-Normal    FALSE #> 8082   506 0.8599211 0.164904216  fv      Gamma   Cox, Log-Normal    FALSE #> 8098   507 0.6803896 0.132319900  fv      Gamma   Cox, Log-Normal    FALSE #> 8114   508 0.8321579 0.174584707  fv      Gamma   Cox, Log-Normal    FALSE #> 8130   509 0.8577265 0.171261565  fv      Gamma   Cox, Log-Normal    FALSE #> 8146   510 1.0840758 0.191525801  fv      Gamma   Cox, Log-Normal    FALSE #> 8162   511 0.9751571 0.228962046  fv      Gamma   Cox, Log-Normal    FALSE #> 8178   512 0.9171955 0.141575466  fv      Gamma   Cox, Log-Normal    FALSE #> 8194   513 0.7704456 0.179734941  fv      Gamma   Cox, Log-Normal    FALSE #> 8210   514 0.9767960 0.270516974  fv      Gamma   Cox, Log-Normal    FALSE #> 8226   515 0.8482220 0.193164393  fv      Gamma   Cox, Log-Normal    FALSE #> 8242   516 1.0376892 0.256220330  fv      Gamma   Cox, Log-Normal    FALSE #> 8258   517 1.1357326 0.273350115  fv      Gamma   Cox, Log-Normal    FALSE #> 8274   518 1.2253076 0.238917068  fv      Gamma   Cox, Log-Normal    FALSE #> 8290   519 0.8713882 0.184042855  fv      Gamma   Cox, Log-Normal    FALSE #> 8306   520 0.7926449 0.167454593  fv      Gamma   Cox, Log-Normal    FALSE #> 8322   521 0.7127690 0.140016713  fv      Gamma   Cox, Log-Normal    FALSE #> 8338   522 0.6570335 0.147981785  fv      Gamma   Cox, Log-Normal    FALSE #> 8354   523 0.9035491 0.240796228  fv      Gamma   Cox, Log-Normal    FALSE #> 8370   524 0.7910639 0.197298251  fv      Gamma   Cox, Log-Normal    FALSE #> 8386   525 1.3295251 0.263165691  fv      Gamma   Cox, Log-Normal    FALSE #> 8402   526 1.1085831 0.260362630  fv      Gamma   Cox, Log-Normal    FALSE #> 8418   527 0.9930652 0.328052452  fv      Gamma   Cox, Log-Normal    FALSE #> 8434   528 0.7418328 0.169881227  fv      Gamma   Cox, Log-Normal    FALSE #> 8450   529 1.2037156 0.256995886  fv      Gamma   Cox, Log-Normal    FALSE #> 8466   530 1.3353275 0.308725331  fv      Gamma   Cox, Log-Normal    FALSE #> 8482   531 1.0724559 0.185489763  fv      Gamma   Cox, Log-Normal    FALSE #> 8498   532 1.1767181 0.288783024  fv      Gamma   Cox, Log-Normal    FALSE #> 8514   533 0.9461511 0.224624441  fv      Gamma   Cox, Log-Normal    FALSE #> 8530   534 1.0525213 0.206749296  fv      Gamma   Cox, Log-Normal    FALSE #> 8546   535 1.4301389 0.327696069  fv      Gamma   Cox, Log-Normal    FALSE #> 8562   536 1.0021084 0.171694724  fv      Gamma   Cox, Log-Normal    FALSE #> 8578   537 0.9908633 0.334784893  fv      Gamma   Cox, Log-Normal    FALSE #> 8594   538 0.7459350 0.166232904  fv      Gamma   Cox, Log-Normal    FALSE #> 8610   539 1.1963909 0.302554905  fv      Gamma   Cox, Log-Normal    FALSE #> 8626   540 1.0600937 0.334538983  fv      Gamma   Cox, Log-Normal    FALSE #> 8642   541 0.7824209 0.191635059  fv      Gamma   Cox, Log-Normal    FALSE #> 8658   542 1.0469726 0.186010712  fv      Gamma   Cox, Log-Normal    FALSE #> 8674   543 1.1353147 0.200048549  fv      Gamma   Cox, Log-Normal    FALSE #> 8690   544 1.0727346 0.223928441  fv      Gamma   Cox, Log-Normal    FALSE #> 8706   545 0.9542188 0.258825073  fv      Gamma   Cox, Log-Normal    FALSE #> 8722   546 0.7626356 0.145367051  fv      Gamma   Cox, Log-Normal    FALSE #> 8738   547 0.7998809 0.146606750  fv      Gamma   Cox, Log-Normal    FALSE #> 8754   548 0.8468470 0.311423205  fv      Gamma   Cox, Log-Normal    FALSE #> 8770   549 1.0343320 0.291774386  fv      Gamma   Cox, Log-Normal    FALSE #> 8786   550 1.3436451 0.531137533  fv      Gamma   Cox, Log-Normal     TRUE #> 8802   551 0.9109458 0.190163812  fv      Gamma   Cox, Log-Normal    FALSE #> 8818   552 0.7473400 0.168944580  fv      Gamma   Cox, Log-Normal    FALSE #> 8834   553 0.7435618 0.152999604  fv      Gamma   Cox, Log-Normal    FALSE #> 8850   554 0.9450358 0.248564971  fv      Gamma   Cox, Log-Normal    FALSE #> 8866   555 0.6737041 0.126162135  fv      Gamma   Cox, Log-Normal    FALSE #> 8882   556 0.6772282 0.151785951  fv      Gamma   Cox, Log-Normal    FALSE #> 8898   557 1.6904828 0.395312396  fv      Gamma   Cox, Log-Normal     TRUE #> 8914   558 1.0339234 0.212529669  fv      Gamma   Cox, Log-Normal    FALSE #> 8930   559 0.7993772 0.259858142  fv      Gamma   Cox, Log-Normal    FALSE #> 8946   560 0.9719681 0.242674636  fv      Gamma   Cox, Log-Normal    FALSE #> 8962   561 1.0261247 0.212406152  fv      Gamma   Cox, Log-Normal    FALSE #> 8978   562 0.5757420 0.150997039  fv      Gamma   Cox, Log-Normal    FALSE #> 8994   563 1.0409490 0.228433773  fv      Gamma   Cox, Log-Normal    FALSE #> 9010   564 1.0615467 0.193348628  fv      Gamma   Cox, Log-Normal    FALSE #> 9026   565 1.1679880 0.390837268  fv      Gamma   Cox, Log-Normal    FALSE #> 9042   566 1.2199602 0.278996060  fv      Gamma   Cox, Log-Normal    FALSE #> 9058   567 0.9822957 0.244996294  fv      Gamma   Cox, Log-Normal    FALSE #> 9074   568 1.0201589 0.280017514  fv      Gamma   Cox, Log-Normal    FALSE #> 9090   569 0.9406773 0.270807399  fv      Gamma   Cox, Log-Normal    FALSE #> 9106   570 0.9279776 0.161765327  fv      Gamma   Cox, Log-Normal    FALSE #> 9122   571 0.9326456 0.179721507  fv      Gamma   Cox, Log-Normal    FALSE #> 9138   572 1.1013126 0.198471955  fv      Gamma   Cox, Log-Normal    FALSE #> 9154   573 0.6222332 0.126446396  fv      Gamma   Cox, Log-Normal    FALSE #> 9170   574 1.1432237 0.294379732  fv      Gamma   Cox, Log-Normal    FALSE #> 9186   575 0.9600009 0.226550540  fv      Gamma   Cox, Log-Normal    FALSE #> 9202   576 1.0609559 0.287309234  fv      Gamma   Cox, Log-Normal    FALSE #> 9218   577 0.9115962 0.250289364  fv      Gamma   Cox, Log-Normal    FALSE #> 9234   578 0.9202321 0.181635402  fv      Gamma   Cox, Log-Normal    FALSE #> 9250   579 0.7970005 0.198574996  fv      Gamma   Cox, Log-Normal    FALSE #> 9266   580 0.8541770 0.199446336  fv      Gamma   Cox, Log-Normal    FALSE #> 9282   581 1.1327424 0.203938321  fv      Gamma   Cox, Log-Normal    FALSE #> 9298   582 0.5324844 0.110727241  fv      Gamma   Cox, Log-Normal    FALSE #> 9314   583 1.2170472 0.265887560  fv      Gamma   Cox, Log-Normal    FALSE #> 9330   584 0.7405038 0.190327265  fv      Gamma   Cox, Log-Normal    FALSE #> 9346   585 1.4674663 0.296880097  fv      Gamma   Cox, Log-Normal    FALSE #> 9362   586 1.3357663 0.233595693  fv      Gamma   Cox, Log-Normal    FALSE #> 9378   587 1.0434712 0.197298685  fv      Gamma   Cox, Log-Normal    FALSE #> 9394   588 1.0601227 0.260760641  fv      Gamma   Cox, Log-Normal    FALSE #> 9410   589 0.7426001 0.163007177  fv      Gamma   Cox, Log-Normal    FALSE #> 9426   590 0.8895731 0.197968824  fv      Gamma   Cox, Log-Normal    FALSE #> 9442   591 0.9799824 0.254028822  fv      Gamma   Cox, Log-Normal    FALSE #> 9458   592 1.2819594 0.227298189  fv      Gamma   Cox, Log-Normal    FALSE #> 9474   593 0.9126781 0.272510318  fv      Gamma   Cox, Log-Normal    FALSE #> 9490   594 0.9415930 0.242944719  fv      Gamma   Cox, Log-Normal    FALSE #> 9506   595 0.8669225 0.154822055  fv      Gamma   Cox, Log-Normal    FALSE #> 9522   596 1.2023114 0.234135962  fv      Gamma   Cox, Log-Normal    FALSE #> 9538   597 1.1852910 0.306402855  fv      Gamma   Cox, Log-Normal    FALSE #> 9554   598 1.0144108 0.236994186  fv      Gamma   Cox, Log-Normal    FALSE #> 9570   599 1.5141491 0.267682298  fv      Gamma   Cox, Log-Normal    FALSE #> 9586   600 1.3093034 0.231071705  fv      Gamma   Cox, Log-Normal    FALSE #> 9602   601 0.9685267 0.220530237  fv      Gamma   Cox, Log-Normal    FALSE #> 9618   602 0.9567572 0.270622698  fv      Gamma   Cox, Log-Normal    FALSE #> 9634   603 0.9007697 0.220945058  fv      Gamma   Cox, Log-Normal    FALSE #> 9650   604 1.2452340 0.442246635  fv      Gamma   Cox, Log-Normal     TRUE #> 9666   605 1.2222252 0.357745466  fv      Gamma   Cox, Log-Normal    FALSE #> 9682   606 1.0475542 0.230114466  fv      Gamma   Cox, Log-Normal    FALSE #> 9698   607 0.8173250 0.184012955  fv      Gamma   Cox, Log-Normal    FALSE #> 9714   608 1.0264445 0.211869827  fv      Gamma   Cox, Log-Normal    FALSE #> 9730   609 1.3393035 0.328197864  fv      Gamma   Cox, Log-Normal    FALSE #> 9746   610 1.1612145 0.269944445  fv      Gamma   Cox, Log-Normal    FALSE #> 9762   611 0.8716488 0.218240481  fv      Gamma   Cox, Log-Normal    FALSE #> 9778   612 1.2478780 0.254679202  fv      Gamma   Cox, Log-Normal    FALSE #> 9794   613 0.9089129 0.180981311  fv      Gamma   Cox, Log-Normal    FALSE #> 9810   614 0.8236289 0.176298875  fv      Gamma   Cox, Log-Normal    FALSE #> 9826   615 0.7781034 0.172342440  fv      Gamma   Cox, Log-Normal    FALSE #> 9842   616 1.3207941 0.299666982  fv      Gamma   Cox, Log-Normal    FALSE #> 9858   617 1.3523404 0.308465331  fv      Gamma   Cox, Log-Normal    FALSE #> 9874   618 0.7054131 0.154359305  fv      Gamma   Cox, Log-Normal    FALSE #> 9890   619 0.7621622 0.144288017  fv      Gamma   Cox, Log-Normal    FALSE #> 9906   620 0.9294349 0.245020462  fv      Gamma   Cox, Log-Normal    FALSE #> 9922   621 1.0852212 0.238577452  fv      Gamma   Cox, Log-Normal    FALSE #> 9938   622 1.6889800 0.375733753  fv      Gamma   Cox, Log-Normal     TRUE #> 9954   623 0.6497480 0.112506675  fv      Gamma   Cox, Log-Normal    FALSE #> 9970   624 0.9417119 0.185039732  fv      Gamma   Cox, Log-Normal    FALSE #> 9986   625 0.9615533 0.250108888  fv      Gamma   Cox, Log-Normal    FALSE #> 10002  626 0.6491316 0.143634254  fv      Gamma   Cox, Log-Normal    FALSE #> 10018  627 0.7991016 0.265477031  fv      Gamma   Cox, Log-Normal    FALSE #> 10034  628 0.9209861 0.166585647  fv      Gamma   Cox, Log-Normal    FALSE #> 10050  629 0.7470039 0.203007785  fv      Gamma   Cox, Log-Normal    FALSE #> 10066  630 1.0690011 0.196367163  fv      Gamma   Cox, Log-Normal    FALSE #> 10082  631 1.2764893 0.441219524  fv      Gamma   Cox, Log-Normal     TRUE #> 10098  632 0.6869833 0.163540177  fv      Gamma   Cox, Log-Normal    FALSE #> 10114  633 0.7001066 0.175297359  fv      Gamma   Cox, Log-Normal    FALSE #> 10130  634 0.7032764 0.156311954  fv      Gamma   Cox, Log-Normal    FALSE #> 10146  635 0.5491568 0.134395251  fv      Gamma   Cox, Log-Normal    FALSE #> 10162  636 0.8513401 0.270874157  fv      Gamma   Cox, Log-Normal    FALSE #> 10178  637 0.9566533 0.176784838  fv      Gamma   Cox, Log-Normal    FALSE #> 10194  638 0.7933296 0.280428246  fv      Gamma   Cox, Log-Normal    FALSE #> 10210  639 0.8824408 0.186779642  fv      Gamma   Cox, Log-Normal    FALSE #> 10226  640 0.6936361 0.161515249  fv      Gamma   Cox, Log-Normal    FALSE #> 10242  641 0.8355947 0.150330827  fv      Gamma   Cox, Log-Normal    FALSE #> 10258  642 0.9279600 0.209555469  fv      Gamma   Cox, Log-Normal    FALSE #> 10274  643 0.8074046 0.197113858  fv      Gamma   Cox, Log-Normal    FALSE #> 10290  644 1.3611674 0.423889750  fv      Gamma   Cox, Log-Normal    FALSE #> 10306  645 0.6554522 0.148982743  fv      Gamma   Cox, Log-Normal    FALSE #> 10322  646 0.7228923 0.181773449  fv      Gamma   Cox, Log-Normal    FALSE #> 10338  647 1.8011240 0.416701461  fv      Gamma   Cox, Log-Normal     TRUE #> 10354  648 0.9024813 0.147263424  fv      Gamma   Cox, Log-Normal    FALSE #> 10370  649 1.1228993 0.247566629  fv      Gamma   Cox, Log-Normal    FALSE #> 10386  650 1.3658269 0.347823938  fv      Gamma   Cox, Log-Normal    FALSE #> 10402  651 1.3826703 0.312517206  fv      Gamma   Cox, Log-Normal    FALSE #> 10418  652 0.9966013 0.263252969  fv      Gamma   Cox, Log-Normal    FALSE #> 10434  653 1.3938498 0.378569327  fv      Gamma   Cox, Log-Normal    FALSE #> 10450  654 0.7498765 0.198991232  fv      Gamma   Cox, Log-Normal    FALSE #> 10466  655 0.8188198 0.148632081  fv      Gamma   Cox, Log-Normal    FALSE #> 10482  656 0.9838947 0.237718941  fv      Gamma   Cox, Log-Normal    FALSE #> 10498  657 0.9509122 0.222243095  fv      Gamma   Cox, Log-Normal    FALSE #> 10514  658 1.0495215 0.221859992  fv      Gamma   Cox, Log-Normal    FALSE #> 10530  659 1.1024600 0.246582294  fv      Gamma   Cox, Log-Normal    FALSE #> 10546  660 1.1214802 0.345331077  fv      Gamma   Cox, Log-Normal    FALSE #> 10562  661 0.8252543 0.208741101  fv      Gamma   Cox, Log-Normal    FALSE #> 10578  662 0.5439256 0.113712777  fv      Gamma   Cox, Log-Normal    FALSE #> 10594  663 0.7762586 0.185818017  fv      Gamma   Cox, Log-Normal    FALSE #> 10610  664 0.9321685 0.141486786  fv      Gamma   Cox, Log-Normal    FALSE #> 10626  665 0.9641151 0.245897886  fv      Gamma   Cox, Log-Normal    FALSE #> 10642  666 0.9707480 0.281544181  fv      Gamma   Cox, Log-Normal    FALSE #> 10658  667 1.1775076 0.327488577  fv      Gamma   Cox, Log-Normal    FALSE #> 10674  668 1.2100674 0.383647041  fv      Gamma   Cox, Log-Normal    FALSE #> 10690  669 0.7079595 0.202483076  fv      Gamma   Cox, Log-Normal    FALSE #> 10706  670 1.1701748 0.308158336  fv      Gamma   Cox, Log-Normal    FALSE #> 10722  671 1.2338212 0.274821951  fv      Gamma   Cox, Log-Normal    FALSE #> 10738  672 0.7795158 0.186065151  fv      Gamma   Cox, Log-Normal    FALSE #> 10754  673 0.8208763 0.152826786  fv      Gamma   Cox, Log-Normal    FALSE #> 10770  674 1.3740360 0.392376078  fv      Gamma   Cox, Log-Normal    FALSE #> 10786  675 0.9580433 0.177217021  fv      Gamma   Cox, Log-Normal    FALSE #> 10802  676 0.6479120 0.215451916  fv      Gamma   Cox, Log-Normal    FALSE #> 10818  677 0.8237457 0.173619019  fv      Gamma   Cox, Log-Normal    FALSE #> 10834  678 1.1448183 0.294799498  fv      Gamma   Cox, Log-Normal    FALSE #> 10850  679 1.4160710 0.319465728  fv      Gamma   Cox, Log-Normal    FALSE #> 10866  680 1.0010333 0.366282201  fv      Gamma   Cox, Log-Normal    FALSE #> 10882  681 0.7361065 0.213144710  fv      Gamma   Cox, Log-Normal    FALSE #> 10898  682 0.9640440 0.204357977  fv      Gamma   Cox, Log-Normal    FALSE #> 10914  683 1.1832964 0.328296114  fv      Gamma   Cox, Log-Normal    FALSE #> 10930  684 1.2352413 0.256935059  fv      Gamma   Cox, Log-Normal    FALSE #> 10946  685 0.8576592 0.208323295  fv      Gamma   Cox, Log-Normal    FALSE #> 10962  686 0.6559387 0.148327340  fv      Gamma   Cox, Log-Normal    FALSE #> 10978  687 1.3955422 0.274232845  fv      Gamma   Cox, Log-Normal    FALSE #> 10994  688 0.9477181 0.185695063  fv      Gamma   Cox, Log-Normal    FALSE #> 11010  689 0.8098337 0.146404742  fv      Gamma   Cox, Log-Normal    FALSE #> 11026  690 1.2282291 0.224138226  fv      Gamma   Cox, Log-Normal    FALSE #> 11042  691 1.0052381 0.169059700  fv      Gamma   Cox, Log-Normal    FALSE #> 11058  692 0.9559934 0.175651808  fv      Gamma   Cox, Log-Normal    FALSE #> 11074  693 1.3037994 0.320750495  fv      Gamma   Cox, Log-Normal    FALSE #> 11090  694 1.0887350 0.262845102  fv      Gamma   Cox, Log-Normal    FALSE #> 11106  695 1.0245538 0.316179341  fv      Gamma   Cox, Log-Normal    FALSE #> 11122  696 1.0057025 0.279965660  fv      Gamma   Cox, Log-Normal    FALSE #> 11138  697 1.0332112 0.228229709  fv      Gamma   Cox, Log-Normal    FALSE #> 11154  698 1.0008029 0.230392985  fv      Gamma   Cox, Log-Normal    FALSE #> 11170  699 0.9448768 0.148606204  fv      Gamma   Cox, Log-Normal    FALSE #> 11186  700 1.6100507 0.301322970  fv      Gamma   Cox, Log-Normal     TRUE #> 11202  701 0.8168552 0.166749623  fv      Gamma   Cox, Log-Normal    FALSE #> 11218  702 0.7951008 0.229465092  fv      Gamma   Cox, Log-Normal    FALSE #> 11234  703 0.7124699 0.176676006  fv      Gamma   Cox, Log-Normal    FALSE #> 11250  704 1.2850043 0.227968238  fv      Gamma   Cox, Log-Normal    FALSE #> 11266  705 1.4407282 0.311041525  fv      Gamma   Cox, Log-Normal    FALSE #> 11282  706 1.0292844 0.184432785  fv      Gamma   Cox, Log-Normal    FALSE #> 11298  707 0.7592113 0.220094759  fv      Gamma   Cox, Log-Normal    FALSE #> 11314  708 1.1536924 0.378570168  fv      Gamma   Cox, Log-Normal    FALSE #> 11330  709 0.9301348 0.152019700  fv      Gamma   Cox, Log-Normal    FALSE #> 11346  710 0.9747393 0.152258390  fv      Gamma   Cox, Log-Normal    FALSE #> 11362  711 0.4419933 0.091587040  fv      Gamma   Cox, Log-Normal    FALSE #> 11378  712 0.9574598 0.232824090  fv      Gamma   Cox, Log-Normal    FALSE #> 11394  713 0.9989393 0.196517724  fv      Gamma   Cox, Log-Normal    FALSE #> 11410  714 1.2846766 0.430198645  fv      Gamma   Cox, Log-Normal     TRUE #> 11426  715 1.3765564 0.287137467  fv      Gamma   Cox, Log-Normal    FALSE #> 11442  716 1.0736204 0.271160711  fv      Gamma   Cox, Log-Normal    FALSE #> 11458  717 0.8447250 0.275879055  fv      Gamma   Cox, Log-Normal    FALSE #> 11474  718 1.0081585 0.250844357  fv      Gamma   Cox, Log-Normal    FALSE #> 11490  719 0.7888853 0.143021641  fv      Gamma   Cox, Log-Normal    FALSE #> 11506  720 0.8275914 0.169821218  fv      Gamma   Cox, Log-Normal    FALSE #> 11522  721 1.0362940 0.250343175  fv      Gamma   Cox, Log-Normal    FALSE #> 11538  722 1.2802454 0.333262567  fv      Gamma   Cox, Log-Normal    FALSE #> 11554  723 1.0636312 0.323034788  fv      Gamma   Cox, Log-Normal    FALSE #> 11570  724 0.7908268 0.162506524  fv      Gamma   Cox, Log-Normal    FALSE #> 11586  725 0.8741268 0.195905074  fv      Gamma   Cox, Log-Normal    FALSE #> 11602  726 0.7664078 0.217471393  fv      Gamma   Cox, Log-Normal    FALSE #> 11618  727 1.1345593 0.312048852  fv      Gamma   Cox, Log-Normal    FALSE #> 11634  728 0.6815268 0.256231339  fv      Gamma   Cox, Log-Normal    FALSE #> 11650  729 1.0012762 0.190967467  fv      Gamma   Cox, Log-Normal    FALSE #> 11666  730 1.3645868 0.417363902  fv      Gamma   Cox, Log-Normal    FALSE #> 11682  731 1.4012566 0.325484691  fv      Gamma   Cox, Log-Normal    FALSE #> 11698  732 1.2333383 0.213696113  fv      Gamma   Cox, Log-Normal    FALSE #> 11714  733 0.7422468 0.180001456  fv      Gamma   Cox, Log-Normal    FALSE #> 11730  734 0.7656523 0.212408503  fv      Gamma   Cox, Log-Normal    FALSE #> 11746  735 1.1366086 0.281915857  fv      Gamma   Cox, Log-Normal    FALSE #> 11762  736 1.0835050 0.304493693  fv      Gamma   Cox, Log-Normal    FALSE #> 11778  737 0.9811711 0.246886659  fv      Gamma   Cox, Log-Normal    FALSE #> 11794  738 0.8368011 0.340475523  fv      Gamma   Cox, Log-Normal    FALSE #> 11810  739 0.9087165 0.200542432  fv      Gamma   Cox, Log-Normal    FALSE #> 11826  740 0.8700050 0.193399163  fv      Gamma   Cox, Log-Normal    FALSE #> 11842  741 1.0493966 0.242318925  fv      Gamma   Cox, Log-Normal    FALSE #> 11858  742 0.7285165 0.152167499  fv      Gamma   Cox, Log-Normal    FALSE #> 11874  743 1.0809077 0.253157125  fv      Gamma   Cox, Log-Normal    FALSE #> 11890  744 1.3116924 0.349032088  fv      Gamma   Cox, Log-Normal    FALSE #> 11906  745 0.8668810 0.255673856  fv      Gamma   Cox, Log-Normal    FALSE #> 11922  746 0.5031063 0.086395670  fv      Gamma   Cox, Log-Normal    FALSE #> 11938  747 0.8514091 0.212312538  fv      Gamma   Cox, Log-Normal    FALSE #> 11954  748 1.0763630 0.181266049  fv      Gamma   Cox, Log-Normal    FALSE #> 11970  749 0.8902869 0.251796213  fv      Gamma   Cox, Log-Normal    FALSE #> 11986  750 0.6972912 0.147370632  fv      Gamma   Cox, Log-Normal    FALSE #> 12002  751 1.1695505 0.209407579  fv      Gamma   Cox, Log-Normal    FALSE #> 12018  752 1.0586978 0.231401972  fv      Gamma   Cox, Log-Normal    FALSE #> 12034  753 0.7359262 0.219724376  fv      Gamma   Cox, Log-Normal    FALSE #> 12050  754 1.0893551 0.230029873  fv      Gamma   Cox, Log-Normal    FALSE #> 12066  755 0.9971904 0.175161437  fv      Gamma   Cox, Log-Normal    FALSE #> 12082  756 1.5691599 0.295112101  fv      Gamma   Cox, Log-Normal    FALSE #> 12098  757 0.7713164 0.186796598  fv      Gamma   Cox, Log-Normal    FALSE #> 12114  758 0.6428408 0.152198490  fv      Gamma   Cox, Log-Normal    FALSE #> 12130  759 0.7885099 0.154161821  fv      Gamma   Cox, Log-Normal    FALSE #> 12146  760 0.7606324 0.162254956  fv      Gamma   Cox, Log-Normal    FALSE #> 12162  761 1.0477843 0.279182770  fv      Gamma   Cox, Log-Normal    FALSE #> 12178  762 0.8354850 0.168909484  fv      Gamma   Cox, Log-Normal    FALSE #> 12194  763 0.7569949 0.166489594  fv      Gamma   Cox, Log-Normal    FALSE #> 12210  764 0.9842876 0.267116745  fv      Gamma   Cox, Log-Normal    FALSE #> 12226  765 0.7749107 0.196827870  fv      Gamma   Cox, Log-Normal    FALSE #> 12242  766 0.6556944 0.126006011  fv      Gamma   Cox, Log-Normal    FALSE #> 12258  767 0.9765773 0.221128587  fv      Gamma   Cox, Log-Normal    FALSE #> 12274  768 1.0265077 0.226275490  fv      Gamma   Cox, Log-Normal    FALSE #> 12290  769 1.0165964 0.206041439  fv      Gamma   Cox, Log-Normal    FALSE #> 12306  770 0.7551010 0.216493504  fv      Gamma   Cox, Log-Normal    FALSE #> 12322  771 0.6450434 0.111705699  fv      Gamma   Cox, Log-Normal    FALSE #> 12338  772 1.1912443 0.351233857  fv      Gamma   Cox, Log-Normal    FALSE #> 12354  773 0.8052817 0.219677124  fv      Gamma   Cox, Log-Normal    FALSE #> 12370  774 0.9495006 0.183682679  fv      Gamma   Cox, Log-Normal    FALSE #> 12386  775 1.4295249 0.357730455  fv      Gamma   Cox, Log-Normal    FALSE #> 12402  776 0.9464133 0.161655065  fv      Gamma   Cox, Log-Normal    FALSE #> 12418  777 0.7990472 0.188022633  fv      Gamma   Cox, Log-Normal    FALSE #> 12434  778 1.1233230 0.279950067  fv      Gamma   Cox, Log-Normal    FALSE #> 12450  779 1.1826743 0.287929833  fv      Gamma   Cox, Log-Normal    FALSE #> 12466  780 1.1225019 0.260847577  fv      Gamma   Cox, Log-Normal    FALSE #> 12482  781 0.8087508 0.219948457  fv      Gamma   Cox, Log-Normal    FALSE #> 12498  782 0.9323221 0.354579850  fv      Gamma   Cox, Log-Normal    FALSE #> 12514  783 0.9546923 0.172823948  fv      Gamma   Cox, Log-Normal    FALSE #> 12530  784 0.8109267 0.135871785  fv      Gamma   Cox, Log-Normal    FALSE #> 12546  785 0.8227292 0.153966550  fv      Gamma   Cox, Log-Normal    FALSE #> 12562  786 1.0155313 0.221229923  fv      Gamma   Cox, Log-Normal    FALSE #> 12578  787 1.2265997 0.381780641  fv      Gamma   Cox, Log-Normal    FALSE #> 12594  788 0.9968011 0.271020910  fv      Gamma   Cox, Log-Normal    FALSE #> 12610  789 0.9961110 0.264108258  fv      Gamma   Cox, Log-Normal    FALSE #> 12626  790 1.3866559 0.403052216  fv      Gamma   Cox, Log-Normal    FALSE #> 12642  791 1.2942187 0.345936087  fv      Gamma   Cox, Log-Normal    FALSE #> 12658  792 1.3274802 0.294559219  fv      Gamma   Cox, Log-Normal    FALSE #> 12674  793 0.8710422 0.188337532  fv      Gamma   Cox, Log-Normal    FALSE #> 12690  794 0.4656342 0.086212385  fv      Gamma   Cox, Log-Normal    FALSE #> 12706  795 0.9488004 0.249943737  fv      Gamma   Cox, Log-Normal    FALSE #> 12722  796 1.0833683 0.238579911  fv      Gamma   Cox, Log-Normal    FALSE #> 12738  797 0.7134433 0.174971445  fv      Gamma   Cox, Log-Normal    FALSE #> 12754  798 0.7488683 0.203887403  fv      Gamma   Cox, Log-Normal    FALSE #> 12770  799 1.4826244 0.460159427  fv      Gamma   Cox, Log-Normal     TRUE #> 12786  800 1.2555919 0.228477636  fv      Gamma   Cox, Log-Normal    FALSE #> 12802  801 0.7767814 0.216792490  fv      Gamma   Cox, Log-Normal    FALSE #> 12818  802 0.8039006 0.143589898  fv      Gamma   Cox, Log-Normal    FALSE #> 12834  803 0.9486562 0.154256665  fv      Gamma   Cox, Log-Normal    FALSE #> 12850  804 1.0328948 0.231771198  fv      Gamma   Cox, Log-Normal    FALSE #> 12866  805 0.9798605 0.228212803  fv      Gamma   Cox, Log-Normal    FALSE #> 12882  806 0.7306827 0.144691202  fv      Gamma   Cox, Log-Normal    FALSE #> 12898  807 1.2700539 0.278143788  fv      Gamma   Cox, Log-Normal    FALSE #> 12914  808 0.9736841 0.293168234  fv      Gamma   Cox, Log-Normal    FALSE #> 12930  809 1.3303860 0.442691890  fv      Gamma   Cox, Log-Normal     TRUE #> 12946  810 0.9218010 0.172303136  fv      Gamma   Cox, Log-Normal    FALSE #> 12962  811 1.3147421 0.258687544  fv      Gamma   Cox, Log-Normal    FALSE #> 12978  812 0.8372171 0.211667829  fv      Gamma   Cox, Log-Normal    FALSE #> 12994  813 1.1669162 0.244223344  fv      Gamma   Cox, Log-Normal    FALSE #> 13010  814 0.9559600 0.260826010  fv      Gamma   Cox, Log-Normal    FALSE #> 13026  815 1.4235527 0.327459602  fv      Gamma   Cox, Log-Normal    FALSE #> 13042  816 0.7081849 0.196971428  fv      Gamma   Cox, Log-Normal    FALSE #> 13058  817 1.2131452 0.372971263  fv      Gamma   Cox, Log-Normal    FALSE #> 13074  818 0.8741341 0.256450653  fv      Gamma   Cox, Log-Normal    FALSE #> 13090  819 1.3459854 0.408062364  fv      Gamma   Cox, Log-Normal    FALSE #> 13106  820 0.8721563 0.225198849  fv      Gamma   Cox, Log-Normal    FALSE #> 13122  821 0.9494623 0.270727048  fv      Gamma   Cox, Log-Normal    FALSE #> 13138  822 0.6048632 0.109814168  fv      Gamma   Cox, Log-Normal    FALSE #> 13154  823 1.0187693 0.277289565  fv      Gamma   Cox, Log-Normal    FALSE #> 13170  824 0.9878398 0.232512666  fv      Gamma   Cox, Log-Normal    FALSE #> 13186  825 0.6361843 0.116639807  fv      Gamma   Cox, Log-Normal    FALSE #> 13202  826 0.9407440 0.186621880  fv      Gamma   Cox, Log-Normal    FALSE #> 13218  827 0.9250230 0.206624297  fv      Gamma   Cox, Log-Normal    FALSE #> 13234  828 1.4586544 0.400674246  fv      Gamma   Cox, Log-Normal    FALSE #> 13250  829 0.7062700 0.123119510  fv      Gamma   Cox, Log-Normal    FALSE #> 13266  830 1.2702881 0.292952627  fv      Gamma   Cox, Log-Normal    FALSE #> 13282  831 0.7167738 0.210742781  fv      Gamma   Cox, Log-Normal    FALSE #> 13298  832 0.8667566 0.156346725  fv      Gamma   Cox, Log-Normal    FALSE #> 13314  833 0.9890096 0.226437277  fv      Gamma   Cox, Log-Normal    FALSE #> 13330  834 0.6529406 0.148180979  fv      Gamma   Cox, Log-Normal    FALSE #> 13346  835 0.9492850 0.219981130  fv      Gamma   Cox, Log-Normal    FALSE #> 13362  836 0.9453736 0.258429879  fv      Gamma   Cox, Log-Normal    FALSE #> 13378  837 0.9578582 0.272680782  fv      Gamma   Cox, Log-Normal    FALSE #> 13394  838 1.2202325 0.219416306  fv      Gamma   Cox, Log-Normal    FALSE #> 13410  839 0.7622538 0.136150062  fv      Gamma   Cox, Log-Normal    FALSE #> 13426  840 1.0482271 0.241604455  fv      Gamma   Cox, Log-Normal    FALSE #> 13442  841 0.9043676 0.148058562  fv      Gamma   Cox, Log-Normal    FALSE #> 13458  842 0.9913150 0.280168128  fv      Gamma   Cox, Log-Normal    FALSE #> 13474  843 1.3223045 0.330990887  fv      Gamma   Cox, Log-Normal    FALSE #> 13490  844 1.0021235 0.292823919  fv      Gamma   Cox, Log-Normal    FALSE #> 13506  845 1.4004414 0.318104284  fv      Gamma   Cox, Log-Normal    FALSE #> 13522  846 0.8416453 0.250660878  fv      Gamma   Cox, Log-Normal    FALSE #> 13538  847 0.8243172 0.288155697  fv      Gamma   Cox, Log-Normal    FALSE #> 13554  848 0.5899439 0.122537752  fv      Gamma   Cox, Log-Normal    FALSE #> 13570  849 0.9414000 0.178355553  fv      Gamma   Cox, Log-Normal    FALSE #> 13586  850 0.8407891 0.160878072  fv      Gamma   Cox, Log-Normal    FALSE #> 13602  851 0.9823066 0.238544662  fv      Gamma   Cox, Log-Normal    FALSE #> 13618  852 0.5618333 0.110283440  fv      Gamma   Cox, Log-Normal    FALSE #> 13634  853 0.9624791 0.197866836  fv      Gamma   Cox, Log-Normal    FALSE #> 13650  854 0.7179179 0.157504403  fv      Gamma   Cox, Log-Normal    FALSE #> 13666  855 1.2551276 0.310599897  fv      Gamma   Cox, Log-Normal    FALSE #> 13682  856 1.0833605 0.207529494  fv      Gamma   Cox, Log-Normal    FALSE #> 13698  857 0.7307127 0.179278420  fv      Gamma   Cox, Log-Normal    FALSE #> 13714  858 0.8702718 0.224544233  fv      Gamma   Cox, Log-Normal    FALSE #> 13730  859 0.8669632 0.270433850  fv      Gamma   Cox, Log-Normal    FALSE #> 13746  860 0.7547683 0.132468609  fv      Gamma   Cox, Log-Normal    FALSE #> 13762  861 1.1262160 0.257465167  fv      Gamma   Cox, Log-Normal    FALSE #> 13778  862 0.8389212 0.161464653  fv      Gamma   Cox, Log-Normal    FALSE #> 13794  863 1.0119069 0.212102924  fv      Gamma   Cox, Log-Normal    FALSE #> 13810  864 0.9537157 0.216189336  fv      Gamma   Cox, Log-Normal    FALSE #> 13826  865 1.0120405 0.205255774  fv      Gamma   Cox, Log-Normal    FALSE #> 13842  866 0.7974231 0.133804459  fv      Gamma   Cox, Log-Normal    FALSE #> 13858  867 0.9060825 0.156806604  fv      Gamma   Cox, Log-Normal    FALSE #> 13874  868 0.9688863 0.217092971  fv      Gamma   Cox, Log-Normal    FALSE #> 13890  869 1.0266109 0.254779900  fv      Gamma   Cox, Log-Normal    FALSE #> 13906  870 0.9479034 0.327682086  fv      Gamma   Cox, Log-Normal    FALSE #> 13922  871 1.2468126 0.291359832  fv      Gamma   Cox, Log-Normal    FALSE #> 13938  872 1.3083943 0.333635934  fv      Gamma   Cox, Log-Normal    FALSE #> 13954  873 1.1743319 0.209116592  fv      Gamma   Cox, Log-Normal    FALSE #> 13970  874 1.5305586 0.443951756  fv      Gamma   Cox, Log-Normal     TRUE #> 13986  875 0.7607191 0.145312089  fv      Gamma   Cox, Log-Normal    FALSE #> 14002  876 0.8779484 0.192866111  fv      Gamma   Cox, Log-Normal    FALSE #> 14018  877 0.9984085 0.211132798  fv      Gamma   Cox, Log-Normal    FALSE #> 14034  878 1.0891524 0.319090619  fv      Gamma   Cox, Log-Normal    FALSE #> 14050  879 0.8993115 0.342239070  fv      Gamma   Cox, Log-Normal    FALSE #> 14066  880 1.4072146 0.315934948  fv      Gamma   Cox, Log-Normal    FALSE #> 14082  881 1.1304945 0.294741363  fv      Gamma   Cox, Log-Normal    FALSE #> 14098  882 1.2693027 0.233265611  fv      Gamma   Cox, Log-Normal    FALSE #> 14114  883 0.7511724 0.169083381  fv      Gamma   Cox, Log-Normal    FALSE #> 14130  884 0.7769513 0.153621573  fv      Gamma   Cox, Log-Normal    FALSE #> 14146  885 0.7564225 0.181152611  fv      Gamma   Cox, Log-Normal    FALSE #> 14162  886 0.7533057 0.187639873  fv      Gamma   Cox, Log-Normal    FALSE #> 14178  887 0.9411945 0.197051463  fv      Gamma   Cox, Log-Normal    FALSE #> 14194  888 1.3209266 0.241801270  fv      Gamma   Cox, Log-Normal    FALSE #> 14210  889 1.0464163 0.206246274  fv      Gamma   Cox, Log-Normal    FALSE #> 14226  890 0.7922736 0.208611946  fv      Gamma   Cox, Log-Normal    FALSE #> 14242  891 0.6048097 0.093277354  fv      Gamma   Cox, Log-Normal    FALSE #> 14258  892 0.9090234 0.181751021  fv      Gamma   Cox, Log-Normal    FALSE #> 14274  893 1.1860418 0.343862998  fv      Gamma   Cox, Log-Normal    FALSE #> 14290  894 0.7139899 0.164547200  fv      Gamma   Cox, Log-Normal    FALSE #> 14306  895 0.8511802 0.176060960  fv      Gamma   Cox, Log-Normal    FALSE #> 14322  896 1.1897072 0.217763226  fv      Gamma   Cox, Log-Normal    FALSE #> 14338  897 0.8726068 0.157842972  fv      Gamma   Cox, Log-Normal    FALSE #> 14354  898 1.1845061 0.237803283  fv      Gamma   Cox, Log-Normal    FALSE #> 14370  899 1.0443795 0.246772790  fv      Gamma   Cox, Log-Normal    FALSE #> 14386  900 1.1583504 0.323680854  fv      Gamma   Cox, Log-Normal    FALSE #> 14402  901 0.7415650 0.170452452  fv      Gamma   Cox, Log-Normal    FALSE #> 14418  902 0.7003490 0.139088567  fv      Gamma   Cox, Log-Normal    FALSE #> 14434  903 0.7841447 0.149742194  fv      Gamma   Cox, Log-Normal    FALSE #> 14450  904 1.5901697 0.482677057  fv      Gamma   Cox, Log-Normal     TRUE #> 14466  905 0.7896432 0.138737460  fv      Gamma   Cox, Log-Normal    FALSE #> 14482  906 1.3915225 0.266295262  fv      Gamma   Cox, Log-Normal    FALSE #> 14498  907 1.0235347 0.258435199  fv      Gamma   Cox, Log-Normal    FALSE #> 14514  908 0.8794528 0.274871726  fv      Gamma   Cox, Log-Normal    FALSE #> 14530  909 0.7616585 0.153069885  fv      Gamma   Cox, Log-Normal    FALSE #> 14546  910 0.6709826 0.127266750  fv      Gamma   Cox, Log-Normal    FALSE #> 14562  911 0.9426690 0.305758226  fv      Gamma   Cox, Log-Normal    FALSE #> 14578  912 0.6876512 0.115011789  fv      Gamma   Cox, Log-Normal    FALSE #> 14594  913 0.9720124 0.200778297  fv      Gamma   Cox, Log-Normal    FALSE #> 14610  914 0.8574690 0.251944490  fv      Gamma   Cox, Log-Normal    FALSE #> 14626  915 1.1770862 0.283699685  fv      Gamma   Cox, Log-Normal    FALSE #> 14642  916 0.6674906 0.129719682  fv      Gamma   Cox, Log-Normal    FALSE #> 14658  917 1.0089240 0.301683903  fv      Gamma   Cox, Log-Normal    FALSE #> 14674  918 1.0180468 0.176241349  fv      Gamma   Cox, Log-Normal    FALSE #> 14690  919 0.6774361 0.111074751  fv      Gamma   Cox, Log-Normal    FALSE #> 14706  920 0.9816049 0.176035972  fv      Gamma   Cox, Log-Normal    FALSE #> 14722  921 1.1225462 0.265504818  fv      Gamma   Cox, Log-Normal    FALSE #> 14738  922 1.6005520 0.403568432  fv      Gamma   Cox, Log-Normal    FALSE #> 14754  923 0.9384639 0.171544257  fv      Gamma   Cox, Log-Normal    FALSE #> 14770  924 0.9551133 0.151122096  fv      Gamma   Cox, Log-Normal    FALSE #> 14786  925 1.2062083 0.344311268  fv      Gamma   Cox, Log-Normal    FALSE #> 14802  926 0.9341805 0.185300287  fv      Gamma   Cox, Log-Normal    FALSE #> 14818  927 0.5496008 0.113479221  fv      Gamma   Cox, Log-Normal    FALSE #> 14834  928 0.9298163 0.196767579  fv      Gamma   Cox, Log-Normal    FALSE #> 14850  929 1.0148063 0.250301564  fv      Gamma   Cox, Log-Normal    FALSE #> 14866  930 1.4671972 0.477190164  fv      Gamma   Cox, Log-Normal     TRUE #> 14882  931 0.9037657 0.193220022  fv      Gamma   Cox, Log-Normal    FALSE #> 14898  932 1.2131691 0.230914741  fv      Gamma   Cox, Log-Normal    FALSE #> 14914  933 0.7664552 0.172978498  fv      Gamma   Cox, Log-Normal    FALSE #> 14930  934 0.7235467 0.099478559  fv      Gamma   Cox, Log-Normal    FALSE #> 14946  935 0.5651276 0.109392225  fv      Gamma   Cox, Log-Normal    FALSE #> 14962  936 0.7738704 0.156934151  fv      Gamma   Cox, Log-Normal    FALSE #> 14978  937 1.4874432 0.363632319  fv      Gamma   Cox, Log-Normal    FALSE #> 14994  938 1.0628662 0.267143882  fv      Gamma   Cox, Log-Normal    FALSE #> 15010  939 1.0222365 0.192388758  fv      Gamma   Cox, Log-Normal    FALSE #> 15026  940 1.0277460 0.196087165  fv      Gamma   Cox, Log-Normal    FALSE #> 15042  941 0.8016317 0.159316442  fv      Gamma   Cox, Log-Normal    FALSE #> 15058  942 0.8411527 0.182284638  fv      Gamma   Cox, Log-Normal    FALSE #> 15074  943 0.5594256 0.113623496  fv      Gamma   Cox, Log-Normal    FALSE #> 15090  944 0.7729183 0.124686294  fv      Gamma   Cox, Log-Normal    FALSE #> 15106  945 0.7428305 0.151083868  fv      Gamma   Cox, Log-Normal    FALSE #> 15122  946 1.1677163 0.377504451  fv      Gamma   Cox, Log-Normal    FALSE #> 15138  947 0.8375811 0.210228463  fv      Gamma   Cox, Log-Normal    FALSE #> 15154  948 0.6906720 0.230450716  fv      Gamma   Cox, Log-Normal    FALSE #> 15170  949 0.8148721 0.226169057  fv      Gamma   Cox, Log-Normal    FALSE #> 15186  950 0.7721582 0.203677104  fv      Gamma   Cox, Log-Normal    FALSE #> 15202  951 0.9992324 0.220599272  fv      Gamma   Cox, Log-Normal    FALSE #> 15218  952 0.8222391 0.179491347  fv      Gamma   Cox, Log-Normal    FALSE #> 15234  953 1.6443296 0.391757692  fv      Gamma   Cox, Log-Normal     TRUE #> 15250  954 0.8622421 0.193926799  fv      Gamma   Cox, Log-Normal    FALSE #> 15266  955 1.0271637 0.198165599  fv      Gamma   Cox, Log-Normal    FALSE #> 15282  956 0.7877326 0.190345590  fv      Gamma   Cox, Log-Normal    FALSE #> 15298  957 0.7332077 0.170648591  fv      Gamma   Cox, Log-Normal    FALSE #> 15314  958 0.6742120 0.141736639  fv      Gamma   Cox, Log-Normal    FALSE #> 15330  959 0.8116423 0.176636628  fv      Gamma   Cox, Log-Normal    FALSE #> 15346  960 1.0381126 0.247132858  fv      Gamma   Cox, Log-Normal    FALSE #> 15362  961 0.6263490 0.119573651  fv      Gamma   Cox, Log-Normal    FALSE #> 15378  962 1.2298672 0.279659616  fv      Gamma   Cox, Log-Normal    FALSE #> 15394  963 1.3100317 0.351291999  fv      Gamma   Cox, Log-Normal    FALSE #> 15410  964 0.9385725 0.212853684  fv      Gamma   Cox, Log-Normal    FALSE #> 15426  965 0.7237833 0.136184000  fv      Gamma   Cox, Log-Normal    FALSE #> 15442  966 1.0774498 0.255201646  fv      Gamma   Cox, Log-Normal    FALSE #> 15458  967 0.8661890 0.186999729  fv      Gamma   Cox, Log-Normal    FALSE #> 15474  968 0.7440313 0.163577636  fv      Gamma   Cox, Log-Normal    FALSE #> 15490  969 1.0548245 0.323917765  fv      Gamma   Cox, Log-Normal    FALSE #> 15506  970 1.0335275 0.417785729  fv      Gamma   Cox, Log-Normal    FALSE #> 15522  971 0.8920170 0.217781465  fv      Gamma   Cox, Log-Normal    FALSE #> 15538  972 0.8443654 0.262375588  fv      Gamma   Cox, Log-Normal    FALSE #> 15554  973 1.4316470 0.431582164  fv      Gamma   Cox, Log-Normal     TRUE #> 15570  974 0.6408896 0.154553156  fv      Gamma   Cox, Log-Normal    FALSE #> 15586  975 0.5818109 0.121328131  fv      Gamma   Cox, Log-Normal    FALSE #> 15602  976 0.9803179 0.204723535  fv      Gamma   Cox, Log-Normal    FALSE #> 15618  977 1.1977389 0.247126848  fv      Gamma   Cox, Log-Normal    FALSE #> 15634  978 1.1178645 0.327386366  fv      Gamma   Cox, Log-Normal    FALSE #> 15650  979 1.2145658 0.344268311  fv      Gamma   Cox, Log-Normal    FALSE #> 15666  980 0.6638111 0.139988436  fv      Gamma   Cox, Log-Normal    FALSE #> 15682  981 0.9741935 0.298000366  fv      Gamma   Cox, Log-Normal    FALSE #> 15698  982 1.2667102 0.291885120  fv      Gamma   Cox, Log-Normal    FALSE #> 15714  983 0.6366284 0.142543764  fv      Gamma   Cox, Log-Normal    FALSE #> 15730  984 0.9916257 0.230161087  fv      Gamma   Cox, Log-Normal    FALSE #> 15746  985 1.1673924 0.329455282  fv      Gamma   Cox, Log-Normal    FALSE #> 15762  986 0.8093946 0.131512474  fv      Gamma   Cox, Log-Normal    FALSE #> 15778  987 0.6809663 0.166413324  fv      Gamma   Cox, Log-Normal    FALSE #> 15794  988 0.8090418 0.168468434  fv      Gamma   Cox, Log-Normal    FALSE #> 15810  989 1.1203963 0.254390270  fv      Gamma   Cox, Log-Normal    FALSE #> 15826  990 0.8937730 0.181708706  fv      Gamma   Cox, Log-Normal    FALSE #> 15842  991 1.0581390 0.254618273  fv      Gamma   Cox, Log-Normal    FALSE #> 15858  992 1.1236897 0.339523124  fv      Gamma   Cox, Log-Normal    FALSE #> 15874  993 1.4089872 0.331849490  fv      Gamma   Cox, Log-Normal    FALSE #> 15890  994 0.9304340 0.200697045  fv      Gamma   Cox, Log-Normal    FALSE #> 15906  995 0.9726530 0.218311522  fv      Gamma   Cox, Log-Normal    FALSE #> 15922  996 0.8111108 0.164699823  fv      Gamma   Cox, Log-Normal    FALSE #> 15938  997 0.7307507 0.230449780  fv      Gamma   Cox, Log-Normal    FALSE #> 15954  998 0.8727082 0.192062571  fv      Gamma   Cox, Log-Normal    FALSE #> 15970  999 0.6342790 0.116767975  fv      Gamma   Cox, Log-Normal    FALSE #> 15986 1000 0.6557219 0.167090143  fv      Gamma   Cox, Log-Normal    FALSE #> 3        1 0.6583130 0.126035398  fv      Gamma      RP(P), Gamma    FALSE #> 19       2 0.6622712 0.129798360  fv      Gamma      RP(P), Gamma    FALSE #> 35       3 1.0983598 0.207128706  fv      Gamma      RP(P), Gamma     TRUE #> 51       4 0.8432273 0.157280985  fv      Gamma      RP(P), Gamma    FALSE #> 67       5 0.7044549 0.135560564  fv      Gamma      RP(P), Gamma    FALSE #> 83       6        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 99       7 0.6501343 0.124699716  fv      Gamma      RP(P), Gamma    FALSE #> 115      8 1.0008371 0.185404780  fv      Gamma      RP(P), Gamma    FALSE #> 131      9 0.8262565 0.156514195  fv      Gamma      RP(P), Gamma    FALSE #> 147     10 0.8201887 0.155263227  fv      Gamma      RP(P), Gamma    FALSE #> 163     11 0.8137370 0.155704386  fv      Gamma      RP(P), Gamma    FALSE #> 179     12 0.9939974 0.184176616  fv      Gamma      RP(P), Gamma    FALSE #> 195     13 0.9504802 0.177824029  fv      Gamma      RP(P), Gamma    FALSE #> 211     14 0.5829730 0.115298145  fv      Gamma      RP(P), Gamma    FALSE #> 227     15 0.8822492 0.165491846  fv      Gamma      RP(P), Gamma    FALSE #> 243     16 1.0082479 0.185522929  fv      Gamma      RP(P), Gamma    FALSE #> 259     17 0.5973382 0.115826569  fv      Gamma      RP(P), Gamma    FALSE #> 275     18 0.4678429 0.096466091  fv      Gamma      RP(P), Gamma    FALSE #> 291     19 0.7328936 0.139614821  fv      Gamma      RP(P), Gamma    FALSE #> 307     20 0.9565953 0.179037879  fv      Gamma      RP(P), Gamma    FALSE #> 323     21 0.5538343 0.111582907  fv      Gamma      RP(P), Gamma    FALSE #> 339     22 0.8928450 0.168502035  fv      Gamma      RP(P), Gamma    FALSE #> 355     23 0.6152640 0.118919219  fv      Gamma      RP(P), Gamma    FALSE #> 371     24 0.7529937 0.142318629  fv      Gamma      RP(P), Gamma    FALSE #> 387     25 0.7807405 0.147597737  fv      Gamma      RP(P), Gamma    FALSE #> 403     26 0.7246273 0.139343002  fv      Gamma      RP(P), Gamma    FALSE #> 419     27 1.1459225 0.211761785  fv      Gamma      RP(P), Gamma     TRUE #> 435     28 1.0210508 0.188347485  fv      Gamma      RP(P), Gamma    FALSE #> 451     29        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 467     30 0.9633830 0.180741692  fv      Gamma      RP(P), Gamma    FALSE #> 483     31 0.6172289 0.121507402  fv      Gamma      RP(P), Gamma    FALSE #> 499     32 0.7787334 0.148374349  fv      Gamma      RP(P), Gamma    FALSE #> 515     33 0.5966043 0.115428078  fv      Gamma      RP(P), Gamma    FALSE #> 531     34 0.5606909 0.109628967  fv      Gamma      RP(P), Gamma    FALSE #> 547     35 0.7528722 0.146377360  fv      Gamma      RP(P), Gamma    FALSE #> 563     36 0.6003364 0.119702219  fv      Gamma      RP(P), Gamma    FALSE #> 579     37 0.5981520 0.116125997  fv      Gamma      RP(P), Gamma    FALSE #> 595     38 0.5258415 0.103812772  fv      Gamma      RP(P), Gamma    FALSE #> 611     39 0.7151039 0.135677110  fv      Gamma      RP(P), Gamma    FALSE #> 627     40 0.4805411 0.096069472  fv      Gamma      RP(P), Gamma    FALSE #> 643     41 1.1955770 0.214465980  fv      Gamma      RP(P), Gamma     TRUE #> 659     42 0.7131938 0.138882554  fv      Gamma      RP(P), Gamma    FALSE #> 675     43 0.8178025 0.153932387  fv      Gamma      RP(P), Gamma    FALSE #> 691     44 0.8517164 0.159552144  fv      Gamma      RP(P), Gamma    FALSE #> 707     45 0.7770909 0.146570656  fv      Gamma      RP(P), Gamma    FALSE #> 723     46 0.7352140 0.139274517  fv      Gamma      RP(P), Gamma    FALSE #> 739     47 0.9088789 0.172401938  fv      Gamma      RP(P), Gamma    FALSE #> 755     48 0.7543666 0.144637452  fv      Gamma      RP(P), Gamma    FALSE #> 771     49 0.7861070 0.150029967  fv      Gamma      RP(P), Gamma    FALSE #> 787     50 0.7194816 0.136551253  fv      Gamma      RP(P), Gamma    FALSE #> 803     51 0.8995177 0.167805917  fv      Gamma      RP(P), Gamma    FALSE #> 819     52 0.6174492 0.122678304  fv      Gamma      RP(P), Gamma    FALSE #> 835     53 0.6750597 0.130159913  fv      Gamma      RP(P), Gamma    FALSE #> 851     54 0.5309038 0.105027975  fv      Gamma      RP(P), Gamma    FALSE #> 867     55 0.7826463 0.148256356  fv      Gamma      RP(P), Gamma    FALSE #> 883     56 0.7107366 0.137819603  fv      Gamma      RP(P), Gamma    FALSE #> 899     57 0.7873837 0.148295624  fv      Gamma      RP(P), Gamma    FALSE #> 915     58 0.6604236 0.129333742  fv      Gamma      RP(P), Gamma    FALSE #> 931     59 0.7204677 0.137455234  fv      Gamma      RP(P), Gamma    FALSE #> 947     60 0.7937934 0.150215116  fv      Gamma      RP(P), Gamma    FALSE #> 963     61 0.6713512 0.128115321  fv      Gamma      RP(P), Gamma    FALSE #> 979     62 0.6573296 0.128650691  fv      Gamma      RP(P), Gamma    FALSE #> 995     63 0.8607833 0.161828019  fv      Gamma      RP(P), Gamma    FALSE #> 1011    64 0.6543734 0.125543532  fv      Gamma      RP(P), Gamma    FALSE #> 1027    65 0.6954612 0.132073413  fv      Gamma      RP(P), Gamma    FALSE #> 1043    66 0.5448760 0.107425993  fv      Gamma      RP(P), Gamma    FALSE #> 1059    67 0.8194453 0.153073618  fv      Gamma      RP(P), Gamma    FALSE #> 1075    68 0.7446814 0.141854001  fv      Gamma      RP(P), Gamma    FALSE #> 1091    69 0.5579674 0.109410924  fv      Gamma      RP(P), Gamma    FALSE #> 1107    70 0.7098810 0.138933383  fv      Gamma      RP(P), Gamma    FALSE #> 1123    71 0.9406454 0.174400598  fv      Gamma      RP(P), Gamma    FALSE #> 1139    72 0.6530136 0.125588844  fv      Gamma      RP(P), Gamma    FALSE #> 1155    73 0.4734941 0.094092884  fv      Gamma      RP(P), Gamma    FALSE #> 1171    74 0.6754394 0.129318464  fv      Gamma      RP(P), Gamma    FALSE #> 1187    75 0.6957309 0.133701552  fv      Gamma      RP(P), Gamma    FALSE #> 1203    76 0.6999121 0.137477919  fv      Gamma      RP(P), Gamma    FALSE #> 1219    77 0.7887771 0.151086397  fv      Gamma      RP(P), Gamma    FALSE #> 1235    78 1.0335900 0.192017708  fv      Gamma      RP(P), Gamma    FALSE #> 1251    79        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 1267    80 0.6232660 0.123397871  fv      Gamma      RP(P), Gamma    FALSE #> 1283    81 0.9226520 0.175330403  fv      Gamma      RP(P), Gamma    FALSE #> 1299    82 0.7323600 0.139191757  fv      Gamma      RP(P), Gamma    FALSE #> 1315    83 0.4818189 0.099344646  fv      Gamma      RP(P), Gamma    FALSE #> 1331    84 0.7176281 0.136243403  fv      Gamma      RP(P), Gamma    FALSE #> 1347    85 0.7361589 0.140006217  fv      Gamma      RP(P), Gamma    FALSE #> 1363    86 0.7168970 0.136729680  fv      Gamma      RP(P), Gamma    FALSE #> 1379    87 0.5834150 0.113285946  fv      Gamma      RP(P), Gamma    FALSE #> 1395    88 0.7231209 0.137245493  fv      Gamma      RP(P), Gamma    FALSE #> 1411    89 0.7319681 0.139036681  fv      Gamma      RP(P), Gamma    FALSE #> 1427    90 0.8849887 0.164574278  fv      Gamma      RP(P), Gamma    FALSE #> 1443    91 0.7182218 0.136983847  fv      Gamma      RP(P), Gamma    FALSE #> 1459    92 0.6588262 0.126126153  fv      Gamma      RP(P), Gamma    FALSE #> 1475    93 0.9819063 0.189623911  fv      Gamma      RP(P), Gamma    FALSE #> 1491    94 0.8240654 0.157587552  fv      Gamma      RP(P), Gamma    FALSE #> 1507    95 0.7488191 0.141983395  fv      Gamma      RP(P), Gamma    FALSE #> 1523    96 0.4645649 0.093124853  fv      Gamma      RP(P), Gamma    FALSE #> 1539    97 0.5863916 0.113518710  fv      Gamma      RP(P), Gamma    FALSE #> 1555    98 0.8032145 0.151506486  fv      Gamma      RP(P), Gamma    FALSE #> 1571    99 0.5726988 0.112665995  fv      Gamma      RP(P), Gamma    FALSE #> 1587   100 0.8511137 0.158396953  fv      Gamma      RP(P), Gamma    FALSE #> 1603   101 0.8372638 0.155812635  fv      Gamma      RP(P), Gamma    FALSE #> 1619   102 0.7029086 0.133768529  fv      Gamma      RP(P), Gamma    FALSE #> 1635   103 0.8836859 0.168715151  fv      Gamma      RP(P), Gamma    FALSE #> 1651   104 0.7399044 0.139619137  fv      Gamma      RP(P), Gamma    FALSE #> 1667   105 0.8444006 0.159608342  fv      Gamma      RP(P), Gamma    FALSE #> 1683   106 0.7104030 0.135352973  fv      Gamma      RP(P), Gamma    FALSE #> 1699   107 0.8920210 0.169462833  fv      Gamma      RP(P), Gamma    FALSE #> 1715   108 0.7782067 0.151086705  fv      Gamma      RP(P), Gamma    FALSE #> 1731   109 0.6967850 0.134601272  fv      Gamma      RP(P), Gamma    FALSE #> 1747   110 0.8004486 0.151100596  fv      Gamma      RP(P), Gamma    FALSE #> 1763   111 0.8477821 0.159358489  fv      Gamma      RP(P), Gamma    FALSE #> 1779   112 0.4652326 0.093174135  fv      Gamma      RP(P), Gamma    FALSE #> 1795   113 0.5514675 0.108252595  fv      Gamma      RP(P), Gamma    FALSE #> 1811   114 1.1754267 0.213550148  fv      Gamma      RP(P), Gamma     TRUE #> 1827   115 0.6453176 0.124038453  fv      Gamma      RP(P), Gamma    FALSE #> 1843   116 0.5128212 0.101337623  fv      Gamma      RP(P), Gamma    FALSE #> 1859   117 0.7576375 0.142629401  fv      Gamma      RP(P), Gamma    FALSE #> 1875   118 0.5586394 0.109635442  fv      Gamma      RP(P), Gamma    FALSE #> 1891   119 0.6029588 0.117070228  fv      Gamma      RP(P), Gamma    FALSE #> 1907   120 0.7150186 0.136386100  fv      Gamma      RP(P), Gamma    FALSE #> 1923   121 0.6403640 0.124114963  fv      Gamma      RP(P), Gamma    FALSE #> 1939   122 0.6358076 0.123045049  fv      Gamma      RP(P), Gamma    FALSE #> 1955   123 0.7902879 0.149476111  fv      Gamma      RP(P), Gamma    FALSE #> 1971   124 0.7337196 0.138801406  fv      Gamma      RP(P), Gamma    FALSE #> 1987   125 0.8200071 0.155766631  fv      Gamma      RP(P), Gamma    FALSE #> 2003   126 1.0013545 0.191643283  fv      Gamma      RP(P), Gamma    FALSE #> 2019   127 0.8700811 0.162504747  fv      Gamma      RP(P), Gamma    FALSE #> 2035   128 0.8632368 0.161576650  fv      Gamma      RP(P), Gamma    FALSE #> 2051   129 0.5996664 0.119267007  fv      Gamma      RP(P), Gamma    FALSE #> 2067   130 0.6725998 0.129252647  fv      Gamma      RP(P), Gamma    FALSE #> 2083   131 0.6140982 0.117746976  fv      Gamma      RP(P), Gamma    FALSE #> 2099   132 0.7648175 0.148356745  fv      Gamma      RP(P), Gamma    FALSE #> 2115   133 0.7689487 0.147279141  fv      Gamma      RP(P), Gamma    FALSE #> 2131   134 0.7587084 0.143867770  fv      Gamma      RP(P), Gamma    FALSE #> 2147   135 0.5861381 0.114200376  fv      Gamma      RP(P), Gamma    FALSE #> 2163   136 0.8141926 0.154375749  fv      Gamma      RP(P), Gamma    FALSE #> 2179   137 0.8289906 0.155615181  fv      Gamma      RP(P), Gamma    FALSE #> 2195   138 0.9755553 0.183087173  fv      Gamma      RP(P), Gamma    FALSE #> 2211   139 0.6394931 0.123231427  fv      Gamma      RP(P), Gamma    FALSE #> 2227   140 0.7139152 0.135322499  fv      Gamma      RP(P), Gamma    FALSE #> 2243   141 0.5553028 0.110080872  fv      Gamma      RP(P), Gamma    FALSE #> 2259   142 0.6996978 0.133621865  fv      Gamma      RP(P), Gamma    FALSE #> 2275   143 1.1445345 0.218513226  fv      Gamma      RP(P), Gamma     TRUE #> 2291   144 0.8547572 0.159213535  fv      Gamma      RP(P), Gamma    FALSE #> 2307   145 0.6957523 0.133145347  fv      Gamma      RP(P), Gamma    FALSE #> 2323   146 0.6861047 0.131992921  fv      Gamma      RP(P), Gamma    FALSE #> 2339   147        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 2355   148 0.5179757 0.102001564  fv      Gamma      RP(P), Gamma    FALSE #> 2371   149 0.6846178 0.131810489  fv      Gamma      RP(P), Gamma    FALSE #> 2387   150        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 2403   151 0.8349086 0.156790347  fv      Gamma      RP(P), Gamma    FALSE #> 2419   152 0.7973294 0.152804025  fv      Gamma      RP(P), Gamma    FALSE #> 2435   153 0.4923993 0.097955760  fv      Gamma      RP(P), Gamma    FALSE #> 2451   154 0.8363995 0.156721844  fv      Gamma      RP(P), Gamma    FALSE #> 2467   155 0.6940619 0.135793329  fv      Gamma      RP(P), Gamma    FALSE #> 2483   156 0.7151754 0.135913072  fv      Gamma      RP(P), Gamma    FALSE #> 2499   157 0.9592753 0.181238490  fv      Gamma      RP(P), Gamma    FALSE #> 2515   158 0.9946384 0.187427777  fv      Gamma      RP(P), Gamma    FALSE #> 2531   159 0.5061336 0.100702406  fv      Gamma      RP(P), Gamma    FALSE #> 2547   160 0.5671472 0.110846444  fv      Gamma      RP(P), Gamma    FALSE #> 2563   161 1.1633775 0.212438568  fv      Gamma      RP(P), Gamma     TRUE #> 2579   162 0.6706864 0.130117295  fv      Gamma      RP(P), Gamma    FALSE #> 2595   163 0.5941737 0.115420188  fv      Gamma      RP(P), Gamma    FALSE #> 2611   164        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 2627   165 0.7721841 0.145456395  fv      Gamma      RP(P), Gamma    FALSE #> 2643   166 0.7965391 0.153433961  fv      Gamma      RP(P), Gamma    FALSE #> 2659   167 0.8767056 0.163672379  fv      Gamma      RP(P), Gamma    FALSE #> 2675   168 0.9296400 0.172682823  fv      Gamma      RP(P), Gamma    FALSE #> 2691   169 0.7003157 0.134657034  fv      Gamma      RP(P), Gamma    FALSE #> 2707   170 0.6969487 0.133752385  fv      Gamma      RP(P), Gamma    FALSE #> 2723   171 0.6804580 0.132041501  fv      Gamma      RP(P), Gamma    FALSE #> 2739   172 0.8676534 0.162110574  fv      Gamma      RP(P), Gamma    FALSE #> 2755   173 0.6007524 0.117520007  fv      Gamma      RP(P), Gamma    FALSE #> 2771   174 0.8205264 0.155211088  fv      Gamma      RP(P), Gamma    FALSE #> 2787   175 0.6411124 0.124482470  fv      Gamma      RP(P), Gamma    FALSE #> 2803   176 0.6685131 0.127629256  fv      Gamma      RP(P), Gamma    FALSE #> 2819   177 0.5612191 0.111324967  fv      Gamma      RP(P), Gamma    FALSE #> 2835   178 0.8696153 0.161721652  fv      Gamma      RP(P), Gamma    FALSE #> 2851   179 0.5719307 0.111038706  fv      Gamma      RP(P), Gamma    FALSE #> 2867   180 0.7498661 0.145859719  fv      Gamma      RP(P), Gamma    FALSE #> 2883   181 0.8342400 0.156449843  fv      Gamma      RP(P), Gamma    FALSE #> 2899   182 0.7307317 0.138530913  fv      Gamma      RP(P), Gamma    FALSE #> 2915   183 0.5660622 0.110296482  fv      Gamma      RP(P), Gamma    FALSE #> 2931   184 0.6722313 0.130153600  fv      Gamma      RP(P), Gamma    FALSE #> 2947   185 0.8576717 0.161343877  fv      Gamma      RP(P), Gamma    FALSE #> 2963   186 0.9062698 0.173016643  fv      Gamma      RP(P), Gamma    FALSE #> 2979   187 0.7414907 0.141220753  fv      Gamma      RP(P), Gamma    FALSE #> 2995   188 0.5549364 0.108588007  fv      Gamma      RP(P), Gamma    FALSE #> 3011   189        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 3027   190 0.7746357 0.145922206  fv      Gamma      RP(P), Gamma    FALSE #> 3043   191 0.7551856 0.142985236  fv      Gamma      RP(P), Gamma    FALSE #> 3059   192 0.7775915 0.150107716  fv      Gamma      RP(P), Gamma    FALSE #> 3075   193 0.6430137 0.124203106  fv      Gamma      RP(P), Gamma    FALSE #> 3091   194 0.5962792 0.115366357  fv      Gamma      RP(P), Gamma    FALSE #> 3107   195 0.8757453 0.162926509  fv      Gamma      RP(P), Gamma    FALSE #> 3123   196 0.8185691 0.154828956  fv      Gamma      RP(P), Gamma    FALSE #> 3139   197 0.7523839 0.141992354  fv      Gamma      RP(P), Gamma    FALSE #> 3155   198 0.7791112 0.146503900  fv      Gamma      RP(P), Gamma    FALSE #> 3171   199 0.5594019 0.109474490  fv      Gamma      RP(P), Gamma    FALSE #> 3187   200 0.8269718 0.154676067  fv      Gamma      RP(P), Gamma    FALSE #> 3203   201 0.7421167 0.141738015  fv      Gamma      RP(P), Gamma    FALSE #> 3219   202 0.7899331 0.148298132  fv      Gamma      RP(P), Gamma    FALSE #> 3235   203 0.7402666 0.139639494  fv      Gamma      RP(P), Gamma    FALSE #> 3251   204 0.7440994 0.145413762  fv      Gamma      RP(P), Gamma    FALSE #> 3267   205 0.5970540 0.116504438  fv      Gamma      RP(P), Gamma    FALSE #> 3283   206 0.7403789 0.140695149  fv      Gamma      RP(P), Gamma    FALSE #> 3299   207 0.5683539 0.111182081  fv      Gamma      RP(P), Gamma    FALSE #> 3315   208 0.7459009 0.142060451  fv      Gamma      RP(P), Gamma    FALSE #> 3331   209 0.6797062 0.130454189  fv      Gamma      RP(P), Gamma    FALSE #> 3347   210 0.6908023 0.133192700  fv      Gamma      RP(P), Gamma    FALSE #> 3363   211 0.9814670 0.185180252  fv      Gamma      RP(P), Gamma    FALSE #> 3379   212 0.7275717 0.141752091  fv      Gamma      RP(P), Gamma    FALSE #> 3395   213 0.8195451 0.155112422  fv      Gamma      RP(P), Gamma    FALSE #> 3411   214 0.6510424 0.125935368  fv      Gamma      RP(P), Gamma    FALSE #> 3427   215 0.8809648 0.164847839  fv      Gamma      RP(P), Gamma    FALSE #> 3443   216 0.9160453 0.170696980  fv      Gamma      RP(P), Gamma    FALSE #> 3459   217 0.6786443 0.131436644  fv      Gamma      RP(P), Gamma    FALSE #> 3475   218 0.6130170 0.119462464  fv      Gamma      RP(P), Gamma    FALSE #> 3491   219 0.8587860 0.162940219  fv      Gamma      RP(P), Gamma    FALSE #> 3507   220 0.5645745 0.110301667  fv      Gamma      RP(P), Gamma    FALSE #> 3523   221 0.7121007 0.136949273  fv      Gamma      RP(P), Gamma    FALSE #> 3539   222 0.7729783 0.147339017  fv      Gamma      RP(P), Gamma    FALSE #> 3555   223 0.7974666 0.154576435  fv      Gamma      RP(P), Gamma    FALSE #> 3571   224 0.7615940 0.144773736  fv      Gamma      RP(P), Gamma    FALSE #> 3587   225 0.6728903 0.129293781  fv      Gamma      RP(P), Gamma    FALSE #> 3603   226 0.8358787 0.160645352  fv      Gamma      RP(P), Gamma    FALSE #> 3619   227 0.6563351 0.126951384  fv      Gamma      RP(P), Gamma    FALSE #> 3635   228 0.8883501 0.165539138  fv      Gamma      RP(P), Gamma    FALSE #> 3651   229 0.7794882 0.147653006  fv      Gamma      RP(P), Gamma    FALSE #> 3667   230 0.7046264 0.134302636  fv      Gamma      RP(P), Gamma    FALSE #> 3683   231 0.7995473 0.151758843  fv      Gamma      RP(P), Gamma    FALSE #> 3699   232 0.7343045 0.142360273  fv      Gamma      RP(P), Gamma    FALSE #> 3715   233 0.8751457 0.164490904  fv      Gamma      RP(P), Gamma    FALSE #> 3731   234 0.6297026 0.121422242  fv      Gamma      RP(P), Gamma    FALSE #> 3747   235 0.7447860 0.143473450  fv      Gamma      RP(P), Gamma    FALSE #> 3763   236 0.4983589 0.099237135  fv      Gamma      RP(P), Gamma    FALSE #> 3779   237 0.6746635 0.131114127  fv      Gamma      RP(P), Gamma    FALSE #> 3795   238 0.5865575 0.115419368  fv      Gamma      RP(P), Gamma    FALSE #> 3811   239 0.7115553 0.134845742  fv      Gamma      RP(P), Gamma    FALSE #> 3827   240 0.8624671 0.164706486  fv      Gamma      RP(P), Gamma    FALSE #> 3843   241 0.6575508 0.126415736  fv      Gamma      RP(P), Gamma    FALSE #> 3859   242 0.5155896 0.101988080  fv      Gamma      RP(P), Gamma    FALSE #> 3875   243 0.8672063 0.167331273  fv      Gamma      RP(P), Gamma    FALSE #> 3891   244 0.5652190 0.110299698  fv      Gamma      RP(P), Gamma    FALSE #> 3907   245 0.9099031 0.170615102  fv      Gamma      RP(P), Gamma    FALSE #> 3923   246 0.6715121 0.128245541  fv      Gamma      RP(P), Gamma    FALSE #> 3939   247 0.7666596 0.145481254  fv      Gamma      RP(P), Gamma    FALSE #> 3955   248 0.9441329 0.174552266  fv      Gamma      RP(P), Gamma    FALSE #> 3971   249 0.9565287 0.180161217  fv      Gamma      RP(P), Gamma    FALSE #> 3987   250 0.7319608 0.140182669  fv      Gamma      RP(P), Gamma    FALSE #> 4003   251 0.7972592 0.153143991  fv      Gamma      RP(P), Gamma    FALSE #> 4019   252 0.8050622 0.154700370  fv      Gamma      RP(P), Gamma    FALSE #> 4035   253 0.9078567 0.176560322  fv      Gamma      RP(P), Gamma    FALSE #> 4051   254 0.5209792 0.102295614  fv      Gamma      RP(P), Gamma    FALSE #> 4067   255 0.7747142 0.145325614  fv      Gamma      RP(P), Gamma    FALSE #> 4083   256 0.7249451 0.138771215  fv      Gamma      RP(P), Gamma    FALSE #> 4099   257 0.5361170 0.104550822  fv      Gamma      RP(P), Gamma    FALSE #> 4115   258 0.7026252 0.139222844  fv      Gamma      RP(P), Gamma    FALSE #> 4131   259 0.7429085 0.141357296  fv      Gamma      RP(P), Gamma    FALSE #> 4147   260        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 4163   261 0.4996380 0.098593653  fv      Gamma      RP(P), Gamma    FALSE #> 4179   262 0.7307282 0.140705499  fv      Gamma      RP(P), Gamma    FALSE #> 4195   263 0.6060010 0.118004035  fv      Gamma      RP(P), Gamma    FALSE #> 4211   264 0.5116451 0.100491965  fv      Gamma      RP(P), Gamma    FALSE #> 4227   265 0.5946271 0.114842799  fv      Gamma      RP(P), Gamma    FALSE #> 4243   266 0.6163830 0.118942533  fv      Gamma      RP(P), Gamma    FALSE #> 4259   267 0.7102904 0.136036062  fv      Gamma      RP(P), Gamma    FALSE #> 4275   268 0.7470312 0.141482234  fv      Gamma      RP(P), Gamma    FALSE #> 4291   269 1.0631565 0.199380875  fv      Gamma      RP(P), Gamma    FALSE #> 4307   270 0.9061584 0.174043080  fv      Gamma      RP(P), Gamma    FALSE #> 4323   271 0.8927398 0.167378590  fv      Gamma      RP(P), Gamma    FALSE #> 4339   272 0.5411831 0.106864266  fv      Gamma      RP(P), Gamma    FALSE #> 4355   273 0.6638746 0.128232822  fv      Gamma      RP(P), Gamma    FALSE #> 4371   274 0.7225398 0.137091182  fv      Gamma      RP(P), Gamma    FALSE #> 4387   275 0.8562018 0.159672512  fv      Gamma      RP(P), Gamma    FALSE #> 4403   276 0.8120395 0.156356817  fv      Gamma      RP(P), Gamma    FALSE #> 4419   277 0.6780585 0.129342060  fv      Gamma      RP(P), Gamma    FALSE #> 4435   278 0.7362699 0.139418618  fv      Gamma      RP(P), Gamma    FALSE #> 4451   279 0.7312040 0.138791432  fv      Gamma      RP(P), Gamma    FALSE #> 4467   280 0.7617472 0.144139706  fv      Gamma      RP(P), Gamma    FALSE #> 4483   281 1.0239004 0.192140750  fv      Gamma      RP(P), Gamma    FALSE #> 4499   282 0.6014472 0.116810971  fv      Gamma      RP(P), Gamma    FALSE #> 4515   283 0.8070494 0.156406698  fv      Gamma      RP(P), Gamma    FALSE #> 4531   284 0.6547454 0.125591638  fv      Gamma      RP(P), Gamma    FALSE #> 4547   285 0.5017963 0.099125117  fv      Gamma      RP(P), Gamma    FALSE #> 4563   286 0.7664404 0.145194703  fv      Gamma      RP(P), Gamma    FALSE #> 4579   287 0.6417145 0.124295516  fv      Gamma      RP(P), Gamma    FALSE #> 4595   288 1.2160035 0.222504503  fv      Gamma      RP(P), Gamma     TRUE #> 4611   289 0.6310461 0.122257396  fv      Gamma      RP(P), Gamma    FALSE #> 4627   290 0.5976140 0.116077104  fv      Gamma      RP(P), Gamma    FALSE #> 4643   291 0.6144723 0.119062165  fv      Gamma      RP(P), Gamma    FALSE #> 4659   292 0.6279208 0.121314205  fv      Gamma      RP(P), Gamma    FALSE #> 4675   293 0.8865261 0.166337950  fv      Gamma      RP(P), Gamma    FALSE #> 4691   294 0.6338803 0.122601043  fv      Gamma      RP(P), Gamma    FALSE #> 4707   295 1.0653819 0.195613485  fv      Gamma      RP(P), Gamma    FALSE #> 4723   296 0.7351061 0.140428978  fv      Gamma      RP(P), Gamma    FALSE #> 4739   297        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 4755   298 0.5714635 0.111383939  fv      Gamma      RP(P), Gamma    FALSE #> 4771   299 0.5687379 0.111502873  fv      Gamma      RP(P), Gamma    FALSE #> 4787   300 0.8507623 0.158735467  fv      Gamma      RP(P), Gamma    FALSE #> 4803   301 0.5324432 0.104591380  fv      Gamma      RP(P), Gamma    FALSE #> 4819   302 0.7542968 0.142000299  fv      Gamma      RP(P), Gamma    FALSE #> 4835   303 0.6702254 0.129544084  fv      Gamma      RP(P), Gamma    FALSE #> 4851   304 0.7359526 0.140947337  fv      Gamma      RP(P), Gamma    FALSE #> 4867   305 0.8686497 0.162388264  fv      Gamma      RP(P), Gamma    FALSE #> 4883   306 0.7459705 0.141847704  fv      Gamma      RP(P), Gamma    FALSE #> 4899   307 0.7645224 0.146818849  fv      Gamma      RP(P), Gamma    FALSE #> 4915   308 0.6534080 0.125521136  fv      Gamma      RP(P), Gamma    FALSE #> 4931   309 0.7355909 0.139210502  fv      Gamma      RP(P), Gamma    FALSE #> 4947   310        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 4963   311 0.8223787 0.154504491  fv      Gamma      RP(P), Gamma    FALSE #> 4979   312 1.1338355 0.215053067  fv      Gamma      RP(P), Gamma     TRUE #> 4995   313 0.7878946 0.148828816  fv      Gamma      RP(P), Gamma    FALSE #> 5011   314 0.6331384 0.122483624  fv      Gamma      RP(P), Gamma    FALSE #> 5027   315 0.7590237 0.143303796  fv      Gamma      RP(P), Gamma    FALSE #> 5043   316 1.0456069 0.192281909  fv      Gamma      RP(P), Gamma    FALSE #> 5059   317 0.6438263 0.124298460  fv      Gamma      RP(P), Gamma    FALSE #> 5075   318 0.8458746 0.163143415  fv      Gamma      RP(P), Gamma    FALSE #> 5091   319 0.6167836 0.119519907  fv      Gamma      RP(P), Gamma    FALSE #> 5107   320 0.6054894 0.117299351  fv      Gamma      RP(P), Gamma    FALSE #> 5123   321 0.8581595 0.161575543  fv      Gamma      RP(P), Gamma    FALSE #> 5139   322 0.5470126 0.107569123  fv      Gamma      RP(P), Gamma    FALSE #> 5155   323 0.8521730 0.159824438  fv      Gamma      RP(P), Gamma    FALSE #> 5171   324 0.6293737 0.123041276  fv      Gamma      RP(P), Gamma    FALSE #> 5187   325 0.7351303 0.139660930  fv      Gamma      RP(P), Gamma    FALSE #> 5203   326 0.7037406 0.134539252  fv      Gamma      RP(P), Gamma    FALSE #> 5219   327 0.7573005 0.143468222  fv      Gamma      RP(P), Gamma    FALSE #> 5235   328 1.0260740 0.191722687  fv      Gamma      RP(P), Gamma    FALSE #> 5251   329 0.8785208 0.166167340  fv      Gamma      RP(P), Gamma    FALSE #> 5267   330 0.6958925 0.133498433  fv      Gamma      RP(P), Gamma    FALSE #> 5283   331 0.8444511 0.157981839  fv      Gamma      RP(P), Gamma    FALSE #> 5299   332 0.5635456 0.111106954  fv      Gamma      RP(P), Gamma    FALSE #> 5315   333 0.5430382 0.106020576  fv      Gamma      RP(P), Gamma    FALSE #> 5331   334 0.9485748 0.174368602  fv      Gamma      RP(P), Gamma    FALSE #> 5347   335 0.7668800 0.145970993  fv      Gamma      RP(P), Gamma    FALSE #> 5363   336 0.4803202 0.096188584  fv      Gamma      RP(P), Gamma    FALSE #> 5379   337 0.6414976 0.124756829  fv      Gamma      RP(P), Gamma    FALSE #> 5395   338 0.6042093 0.116438825  fv      Gamma      RP(P), Gamma    FALSE #> 5411   339 0.8270540 0.156836453  fv      Gamma      RP(P), Gamma    FALSE #> 5427   340 0.7812948 0.153293387  fv      Gamma      RP(P), Gamma    FALSE #> 5443   341 0.5615693 0.109395593  fv      Gamma      RP(P), Gamma    FALSE #> 5459   342 0.4507156 0.089944670  fv      Gamma      RP(P), Gamma    FALSE #> 5475   343 0.6379126 0.123551359  fv      Gamma      RP(P), Gamma    FALSE #> 5491   344 0.9832700 0.184814008  fv      Gamma      RP(P), Gamma    FALSE #> 5507   345 0.8700732 0.163382934  fv      Gamma      RP(P), Gamma    FALSE #> 5523   346 0.7930586 0.148638590  fv      Gamma      RP(P), Gamma    FALSE #> 5539   347 0.7362875 0.139653656  fv      Gamma      RP(P), Gamma    FALSE #> 5555   348 0.9288355 0.172358490  fv      Gamma      RP(P), Gamma    FALSE #> 5571   349 0.8545774 0.160193152  fv      Gamma      RP(P), Gamma    FALSE #> 5587   350 0.8162435 0.153114319  fv      Gamma      RP(P), Gamma    FALSE #> 5603   351 0.8768429 0.168170983  fv      Gamma      RP(P), Gamma    FALSE #> 5619   352 0.7998651 0.154372925  fv      Gamma      RP(P), Gamma    FALSE #> 5635   353 0.5789433 0.113105924  fv      Gamma      RP(P), Gamma    FALSE #> 5651   354 0.7427434 0.141322244  fv      Gamma      RP(P), Gamma    FALSE #> 5667   355 0.8022031 0.150273181  fv      Gamma      RP(P), Gamma    FALSE #> 5683   356 0.8292656 0.158481791  fv      Gamma      RP(P), Gamma    FALSE #> 5699   357 0.6949861 0.132957253  fv      Gamma      RP(P), Gamma    FALSE #> 5715   358 0.6410077 0.122340318  fv      Gamma      RP(P), Gamma    FALSE #> 5731   359 0.6758443 0.133342092  fv      Gamma      RP(P), Gamma    FALSE #> 5747   360 0.6048735 0.117286870  fv      Gamma      RP(P), Gamma    FALSE #> 5763   361 0.9452275 0.179410146  fv      Gamma      RP(P), Gamma    FALSE #> 5779   362 0.4613285 0.091336265  fv      Gamma      RP(P), Gamma    FALSE #> 5795   363        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 5811   364 0.5305074 0.104571551  fv      Gamma      RP(P), Gamma    FALSE #> 5827   365 0.7692393 0.150826618  fv      Gamma      RP(P), Gamma    FALSE #> 5843   366 0.8281260 0.157369897  fv      Gamma      RP(P), Gamma    FALSE #> 5859   367 0.8879069 0.165562059  fv      Gamma      RP(P), Gamma    FALSE #> 5875   368 0.8819495 0.172077745  fv      Gamma      RP(P), Gamma    FALSE #> 5891   369 0.5571989 0.108663257  fv      Gamma      RP(P), Gamma    FALSE #> 5907   370 0.5240141 0.103230461  fv      Gamma      RP(P), Gamma    FALSE #> 5923   371 0.8850740 0.167914113  fv      Gamma      RP(P), Gamma    FALSE #> 5939   372 0.6292203 0.125493047  fv      Gamma      RP(P), Gamma    FALSE #> 5955   373 0.6711393 0.128355923  fv      Gamma      RP(P), Gamma    FALSE #> 5971   374 0.6330126 0.122222933  fv      Gamma      RP(P), Gamma    FALSE #> 5987   375 0.6232037 0.120619676  fv      Gamma      RP(P), Gamma    FALSE #> 6003   376 0.6709763 0.129346165  fv      Gamma      RP(P), Gamma    FALSE #> 6019   377 0.8081042 0.155740601  fv      Gamma      RP(P), Gamma    FALSE #> 6035   378 0.7807703 0.146835814  fv      Gamma      RP(P), Gamma    FALSE #> 6051   379 0.6489020 0.124780001  fv      Gamma      RP(P), Gamma    FALSE #> 6067   380 0.7690472 0.145653760  fv      Gamma      RP(P), Gamma    FALSE #> 6083   381 0.6655172 0.128470538  fv      Gamma      RP(P), Gamma    FALSE #> 6099   382 0.6834100 0.131022145  fv      Gamma      RP(P), Gamma    FALSE #> 6115   383 1.0199434 0.186627092  fv      Gamma      RP(P), Gamma    FALSE #> 6131   384 0.8425240 0.158501752  fv      Gamma      RP(P), Gamma    FALSE #> 6147   385 0.5435103 0.106298014  fv      Gamma      RP(P), Gamma    FALSE #> 6163   386 0.3974050 0.081499042  fv      Gamma      RP(P), Gamma    FALSE #> 6179   387 0.5426046 0.105687478  fv      Gamma      RP(P), Gamma    FALSE #> 6195   388 0.6611317 0.126806617  fv      Gamma      RP(P), Gamma    FALSE #> 6211   389 0.5349625 0.105162575  fv      Gamma      RP(P), Gamma    FALSE #> 6227   390 0.6059506 0.117577612  fv      Gamma      RP(P), Gamma    FALSE #> 6243   391 0.5031306 0.099223928  fv      Gamma      RP(P), Gamma    FALSE #> 6259   392 0.9247264 0.171447639  fv      Gamma      RP(P), Gamma    FALSE #> 6275   393 0.5799003 0.113309467  fv      Gamma      RP(P), Gamma    FALSE #> 6291   394 0.8923633 0.167756406  fv      Gamma      RP(P), Gamma    FALSE #> 6307   395 0.7025183 0.135296087  fv      Gamma      RP(P), Gamma    FALSE #> 6323   396 0.7120067 0.139386238  fv      Gamma      RP(P), Gamma    FALSE #> 6339   397 0.8245329 0.154169882  fv      Gamma      RP(P), Gamma    FALSE #> 6355   398 0.7714605 0.146465081  fv      Gamma      RP(P), Gamma    FALSE #> 6371   399 0.6201603 0.120225120  fv      Gamma      RP(P), Gamma    FALSE #> 6387   400 0.6674704 0.128448157  fv      Gamma      RP(P), Gamma    FALSE #> 6403   401 0.8591833 0.163558247  fv      Gamma      RP(P), Gamma    FALSE #> 6419   402 0.7237335 0.141496085  fv      Gamma      RP(P), Gamma    FALSE #> 6435   403 0.6842458 0.130528240  fv      Gamma      RP(P), Gamma    FALSE #> 6451   404 0.8914124 0.170001726  fv      Gamma      RP(P), Gamma    FALSE #> 6467   405 0.6372709 0.122209769  fv      Gamma      RP(P), Gamma    FALSE #> 6483   406 0.6333429 0.122577106  fv      Gamma      RP(P), Gamma    FALSE #> 6499   407 0.7540527 0.143640882  fv      Gamma      RP(P), Gamma    FALSE #> 6515   408 0.4838950 0.100461103  fv      Gamma      RP(P), Gamma    FALSE #> 6531   409 0.9146888 0.169439375  fv      Gamma      RP(P), Gamma    FALSE #> 6547   410 0.9330222 0.176834198  fv      Gamma      RP(P), Gamma    FALSE #> 6563   411 0.7883049 0.155697900  fv      Gamma      RP(P), Gamma    FALSE #> 6579   412 0.6774845 0.129576379  fv      Gamma      RP(P), Gamma    FALSE #> 6595   413 0.7116535 0.136948608  fv      Gamma      RP(P), Gamma    FALSE #> 6611   414 0.7132797 0.136232402  fv      Gamma      RP(P), Gamma    FALSE #> 6627   415 0.8286193 0.154693246  fv      Gamma      RP(P), Gamma    FALSE #> 6643   416 0.6156083 0.119284639  fv      Gamma      RP(P), Gamma    FALSE #> 6659   417 0.7087812 0.135096167  fv      Gamma      RP(P), Gamma    FALSE #> 6675   418 0.7293437 0.138932311  fv      Gamma      RP(P), Gamma    FALSE #> 6691   419 0.5997472 0.117475840  fv      Gamma      RP(P), Gamma    FALSE #> 6707   420 0.7993144 0.153914851  fv      Gamma      RP(P), Gamma    FALSE #> 6723   421 0.7797894 0.147239639  fv      Gamma      RP(P), Gamma    FALSE #> 6739   422 0.7196492 0.137084047  fv      Gamma      RP(P), Gamma    FALSE #> 6755   423 0.7782277 0.146884783  fv      Gamma      RP(P), Gamma    FALSE #> 6771   424 0.6735367 0.130483600  fv      Gamma      RP(P), Gamma    FALSE #> 6787   425 0.5438044 0.106872272  fv      Gamma      RP(P), Gamma    FALSE #> 6803   426 0.9765959 0.180951859  fv      Gamma      RP(P), Gamma    FALSE #> 6819   427 0.4342931 0.087816670  fv      Gamma      RP(P), Gamma    FALSE #> 6835   428        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 6851   429 0.6326812 0.122272867  fv      Gamma      RP(P), Gamma    FALSE #> 6867   430 0.5864832 0.114045582  fv      Gamma      RP(P), Gamma    FALSE #> 6883   431 0.8330418 0.156297552  fv      Gamma      RP(P), Gamma    FALSE #> 6899   432 0.5660420 0.111497263  fv      Gamma      RP(P), Gamma    FALSE #> 6915   433 0.7633897 0.146680676  fv      Gamma      RP(P), Gamma    FALSE #> 6931   434 0.9157854 0.169179334  fv      Gamma      RP(P), Gamma    FALSE #> 6947   435 0.6436417 0.123386611  fv      Gamma      RP(P), Gamma    FALSE #> 6963   436 0.8894330 0.168215631  fv      Gamma      RP(P), Gamma    FALSE #> 6979   437 0.6466005 0.124257627  fv      Gamma      RP(P), Gamma    FALSE #> 6995   438 0.4983309 0.099003740  fv      Gamma      RP(P), Gamma    FALSE #> 7011   439 0.6788690 0.131122725  fv      Gamma      RP(P), Gamma    FALSE #> 7027   440 0.6840970 0.130674970  fv      Gamma      RP(P), Gamma    FALSE #> 7043   441 0.4509432 0.090190377  fv      Gamma      RP(P), Gamma    FALSE #> 7059   442 0.8197896 0.153466848  fv      Gamma      RP(P), Gamma    FALSE #> 7075   443 0.4883504 0.097806334  fv      Gamma      RP(P), Gamma    FALSE #> 7091   444 0.6309643 0.121865041  fv      Gamma      RP(P), Gamma    FALSE #> 7107   445 0.8964975 0.172918156  fv      Gamma      RP(P), Gamma    FALSE #> 7123   446 0.7383350 0.140046750  fv      Gamma      RP(P), Gamma    FALSE #> 7139   447 0.7068869 0.134798962  fv      Gamma      RP(P), Gamma    FALSE #> 7155   448 0.7623019 0.144996154  fv      Gamma      RP(P), Gamma    FALSE #> 7171   449 0.8202607 0.153262713  fv      Gamma      RP(P), Gamma    FALSE #> 7187   450 0.6652518 0.127192030  fv      Gamma      RP(P), Gamma    FALSE #> 7203   451 0.7929428 0.149414357  fv      Gamma      RP(P), Gamma    FALSE #> 7219   452 0.5390468 0.106252035  fv      Gamma      RP(P), Gamma    FALSE #> 7235   453 0.7983611 0.149574089  fv      Gamma      RP(P), Gamma    FALSE #> 7251   454 0.6809155 0.133855974  fv      Gamma      RP(P), Gamma    FALSE #> 7267   455 0.7867915 0.148808687  fv      Gamma      RP(P), Gamma    FALSE #> 7283   456 0.8027674 0.151115965  fv      Gamma      RP(P), Gamma    FALSE #> 7299   457 0.7599211 0.143934714  fv      Gamma      RP(P), Gamma    FALSE #> 7315   458 0.8392784 0.158497506  fv      Gamma      RP(P), Gamma    FALSE #> 7331   459 0.6859136 0.132185682  fv      Gamma      RP(P), Gamma    FALSE #> 7347   460 0.5989569 0.116734400  fv      Gamma      RP(P), Gamma    FALSE #> 7363   461 0.7104775 0.136171002  fv      Gamma      RP(P), Gamma    FALSE #> 7379   462 0.9353550 0.176644991  fv      Gamma      RP(P), Gamma    FALSE #> 7395   463 0.5917203 0.113971563  fv      Gamma      RP(P), Gamma    FALSE #> 7411   464 0.5466129 0.108141319  fv      Gamma      RP(P), Gamma    FALSE #> 7427   465 0.6924133 0.132057038  fv      Gamma      RP(P), Gamma    FALSE #> 7443   466 0.8595890 0.164380309  fv      Gamma      RP(P), Gamma    FALSE #> 7459   467 0.8621341 0.162880467  fv      Gamma      RP(P), Gamma    FALSE #> 7475   468 0.5844938 0.113603790  fv      Gamma      RP(P), Gamma    FALSE #> 7491   469 0.7748601 0.149549630  fv      Gamma      RP(P), Gamma    FALSE #> 7507   470 0.7885976 0.148029828  fv      Gamma      RP(P), Gamma    FALSE #> 7523   471 0.6020256 0.116789527  fv      Gamma      RP(P), Gamma    FALSE #> 7539   472 0.7796100 0.146855855  fv      Gamma      RP(P), Gamma    FALSE #> 7555   473 0.6785752 0.130008471  fv      Gamma      RP(P), Gamma    FALSE #> 7571   474 0.6250698 0.122879162  fv      Gamma      RP(P), Gamma    FALSE #> 7587   475 1.1078072 0.208724589  fv      Gamma      RP(P), Gamma     TRUE #> 7603   476 0.5563729 0.109196239  fv      Gamma      RP(P), Gamma    FALSE #> 7619   477 0.8587266 0.160352193  fv      Gamma      RP(P), Gamma    FALSE #> 7635   478 0.6830960 0.131457533  fv      Gamma      RP(P), Gamma    FALSE #> 7651   479 0.8681593 0.162333605  fv      Gamma      RP(P), Gamma    FALSE #> 7667   480 0.7574428 0.144816517  fv      Gamma      RP(P), Gamma    FALSE #> 7683   481        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 7699   482 0.6266013 0.124370257  fv      Gamma      RP(P), Gamma    FALSE #> 7715   483 0.6528467 0.127306631  fv      Gamma      RP(P), Gamma    FALSE #> 7731   484 0.7127943 0.134930802  fv      Gamma      RP(P), Gamma    FALSE #> 7747   485 0.7125054 0.135276927  fv      Gamma      RP(P), Gamma    FALSE #> 7763   486 0.5687850 0.111413020  fv      Gamma      RP(P), Gamma    FALSE #> 7779   487 0.8243935 0.154600910  fv      Gamma      RP(P), Gamma    FALSE #> 7795   488 0.6812360 0.132703870  fv      Gamma      RP(P), Gamma    FALSE #> 7811   489 0.8845371 0.169323636  fv      Gamma      RP(P), Gamma    FALSE #> 7827   490 1.0653722 0.194660353  fv      Gamma      RP(P), Gamma    FALSE #> 7843   491 0.6826541 0.130776905  fv      Gamma      RP(P), Gamma    FALSE #> 7859   492 0.8235202 0.155848858  fv      Gamma      RP(P), Gamma    FALSE #> 7875   493 0.7768356 0.151524876  fv      Gamma      RP(P), Gamma    FALSE #> 7891   494 0.7218053 0.137841570  fv      Gamma      RP(P), Gamma    FALSE #> 7907   495 0.7695705 0.146521336  fv      Gamma      RP(P), Gamma    FALSE #> 7923   496 0.5166882 0.102399021  fv      Gamma      RP(P), Gamma    FALSE #> 7939   497 0.6627873 0.126766292  fv      Gamma      RP(P), Gamma    FALSE #> 7955   498 0.6342445 0.122728374  fv      Gamma      RP(P), Gamma    FALSE #> 7971   499 0.9374378 0.175338174  fv      Gamma      RP(P), Gamma    FALSE #> 7987   500 0.9019653 0.170409658  fv      Gamma      RP(P), Gamma    FALSE #> 8003   501 0.6962305 0.132980257  fv      Gamma      RP(P), Gamma    FALSE #> 8019   502 0.7603688 0.144250280  fv      Gamma      RP(P), Gamma    FALSE #> 8035   503 0.6803697 0.130734079  fv      Gamma      RP(P), Gamma    FALSE #> 8051   504 0.8753725 0.162673418  fv      Gamma      RP(P), Gamma    FALSE #> 8067   505 0.9260534 0.173473955  fv      Gamma      RP(P), Gamma    FALSE #> 8083   506 0.6660089 0.127478067  fv      Gamma      RP(P), Gamma    FALSE #> 8099   507 0.6217409 0.120696018  fv      Gamma      RP(P), Gamma    FALSE #> 8115   508 0.6657625 0.127882730  fv      Gamma      RP(P), Gamma    FALSE #> 8131   509 0.7035885 0.134122091  fv      Gamma      RP(P), Gamma    FALSE #> 8147   510 0.9153649 0.169975579  fv      Gamma      RP(P), Gamma    FALSE #> 8163   511 0.7435226 0.141999828  fv      Gamma      RP(P), Gamma    FALSE #> 8179   512 0.8092206 0.152504675  fv      Gamma      RP(P), Gamma    FALSE #> 8195   513 0.5970830 0.116342118  fv      Gamma      RP(P), Gamma    FALSE #> 8211   514 0.6584162 0.127259558  fv      Gamma      RP(P), Gamma    FALSE #> 8227   515 0.6218205 0.120288402  fv      Gamma      RP(P), Gamma    FALSE #> 8243   516 0.7564849 0.144835314  fv      Gamma      RP(P), Gamma    FALSE #> 8259   517 0.7866480 0.148609375  fv      Gamma      RP(P), Gamma    FALSE #> 8275   518 0.8554770 0.159037294  fv      Gamma      RP(P), Gamma    FALSE #> 8291   519 0.7052320 0.134728823  fv      Gamma      RP(P), Gamma    FALSE #> 8307   520 0.6204574 0.120158025  fv      Gamma      RP(P), Gamma    FALSE #> 8323   521 0.5621929 0.109422753  fv      Gamma      RP(P), Gamma    FALSE #> 8339   522 0.5443101 0.106427943  fv      Gamma      RP(P), Gamma    FALSE #> 8355   523 0.6711061 0.129798304  fv      Gamma      RP(P), Gamma    FALSE #> 8371   524 0.6038576 0.117617477  fv      Gamma      RP(P), Gamma    FALSE #> 8387   525 1.0537419 0.193004302  fv      Gamma      RP(P), Gamma    FALSE #> 8403   526 0.7616132 0.144330441  fv      Gamma      RP(P), Gamma    FALSE #> 8419   527 0.6897576 0.133491604  fv      Gamma      RP(P), Gamma    FALSE #> 8435   528 0.6067378 0.118097165  fv      Gamma      RP(P), Gamma    FALSE #> 8451   529 0.8534833 0.160118465  fv      Gamma      RP(P), Gamma    FALSE #> 8467   530 0.8925411 0.166714870  fv      Gamma      RP(P), Gamma    FALSE #> 8483   531 0.7934168 0.148589902  fv      Gamma      RP(P), Gamma    FALSE #> 8499   532 0.7905062 0.149455790  fv      Gamma      RP(P), Gamma    FALSE #> 8515   533 0.7295545 0.139010779  fv      Gamma      RP(P), Gamma    FALSE #> 8531   534 0.7802222 0.146683135  fv      Gamma      RP(P), Gamma    FALSE #> 8547   535 0.9550213 0.176657581  fv      Gamma      RP(P), Gamma    FALSE #> 8563   536 0.8285902 0.154754825  fv      Gamma      RP(P), Gamma    FALSE #> 8579   537 0.7142590 0.139710304  fv      Gamma      RP(P), Gamma    FALSE #> 8595   538 0.6242860 0.121665242  fv      Gamma      RP(P), Gamma    FALSE #> 8611   539 0.8641128 0.161545364  fv      Gamma      RP(P), Gamma    FALSE #> 8627   540 0.7678492 0.149811233  fv      Gamma      RP(P), Gamma    FALSE #> 8643   541 0.6289813 0.122609687  fv      Gamma      RP(P), Gamma    FALSE #> 8659   542 0.8359050 0.157109048  fv      Gamma      RP(P), Gamma    FALSE #> 8675   543 0.9027601 0.167995185  fv      Gamma      RP(P), Gamma    FALSE #> 8691   544 0.8244925 0.154618216  fv      Gamma      RP(P), Gamma    FALSE #> 8707   545 0.6980857 0.134268057  fv      Gamma      RP(P), Gamma    FALSE #> 8723   546 0.6933300 0.133073387  fv      Gamma      RP(P), Gamma    FALSE #> 8739   547        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 8755   548 0.6333770 0.125231052  fv      Gamma      RP(P), Gamma    FALSE #> 8771   549 0.8023245 0.153987219  fv      Gamma      RP(P), Gamma    FALSE #> 8787   550 0.8868958 0.173752332  fv      Gamma      RP(P), Gamma    FALSE #> 8803   551 0.7222047 0.137638041  fv      Gamma      RP(P), Gamma    FALSE #> 8819   552 0.5671938 0.111950384  fv      Gamma      RP(P), Gamma    FALSE #> 8835   553 0.5909826 0.115431956  fv      Gamma      RP(P), Gamma    FALSE #> 8851   554 0.6819668 0.131463459  fv      Gamma      RP(P), Gamma    FALSE #> 8867   555 0.5949893 0.116327674  fv      Gamma      RP(P), Gamma    FALSE #> 8883   556 0.5424623 0.106665952  fv      Gamma      RP(P), Gamma    FALSE #> 8899   557 1.1345537 0.209862447  fv      Gamma      RP(P), Gamma     TRUE #> 8915   558 0.8058485 0.152388030  fv      Gamma      RP(P), Gamma    FALSE #> 8931   559 0.6173724 0.122782335  fv      Gamma      RP(P), Gamma    FALSE #> 8947   560 0.7512495 0.143599104  fv      Gamma      RP(P), Gamma    FALSE #> 8963   561 0.7585141 0.143155705  fv      Gamma      RP(P), Gamma    FALSE #> 8979   562 0.4484573 0.089532416  fv      Gamma      RP(P), Gamma    FALSE #> 8995   563 0.7698720 0.146396748  fv      Gamma      RP(P), Gamma    FALSE #> 9011   564 0.7607873 0.143322348  fv      Gamma      RP(P), Gamma    FALSE #> 9027   565 0.8222472 0.159236501  fv      Gamma      RP(P), Gamma    FALSE #> 9043   566 0.8548495 0.160429756  fv      Gamma      RP(P), Gamma    FALSE #> 9059   567 0.7245818 0.138376691  fv      Gamma      RP(P), Gamma    FALSE #> 9075   568 0.7931173 0.152597975  fv      Gamma      RP(P), Gamma    FALSE #> 9091   569 0.6850610 0.133116653  fv      Gamma      RP(P), Gamma    FALSE #> 9107   570        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 9123   571 0.7549228 0.142914728  fv      Gamma      RP(P), Gamma    FALSE #> 9139   572 0.8278657 0.154426950  fv      Gamma      RP(P), Gamma    FALSE #> 9155   573 0.5344300 0.105884223  fv      Gamma      RP(P), Gamma    FALSE #> 9171   574 0.8527038 0.162694626  fv      Gamma      RP(P), Gamma    FALSE #> 9187   575 0.7057682 0.134947723  fv      Gamma      RP(P), Gamma    FALSE #> 9203   576 0.7448504 0.142986350  fv      Gamma      RP(P), Gamma    FALSE #> 9219   577 0.6324739 0.122708071  fv      Gamma      RP(P), Gamma    FALSE #> 9235   578 0.6535771 0.125371078  fv      Gamma      RP(P), Gamma    FALSE #> 9251   579 0.6463148 0.124602683  fv      Gamma      RP(P), Gamma    FALSE #> 9267   580 0.6122098 0.118229398  fv      Gamma      RP(P), Gamma    FALSE #> 9283   581 0.8581943 0.160096945  fv      Gamma      RP(P), Gamma    FALSE #> 9299   582 0.4255333 0.084857238  fv      Gamma      RP(P), Gamma    FALSE #> 9315   583 0.7830994 0.147615332  fv      Gamma      RP(P), Gamma    FALSE #> 9331   584 0.6297757 0.122421778  fv      Gamma      RP(P), Gamma    FALSE #> 9347   585 1.1118116 0.202600547  fv      Gamma      RP(P), Gamma     TRUE #> 9363   586        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 9379   587 0.7835051 0.147939858  fv      Gamma      RP(P), Gamma    FALSE #> 9395   588 0.7974640 0.152143429  fv      Gamma      RP(P), Gamma    FALSE #> 9411   589 0.5862546 0.114190230  fv      Gamma      RP(P), Gamma    FALSE #> 9427   590 0.6735269 0.129506738  fv      Gamma      RP(P), Gamma    FALSE #> 9443   591 0.7163856 0.137360805  fv      Gamma      RP(P), Gamma    FALSE #> 9459   592 0.8887836 0.165763416  fv      Gamma      RP(P), Gamma    FALSE #> 9475   593 0.6961761 0.136894275  fv      Gamma      RP(P), Gamma    FALSE #> 9491   594 0.7225011 0.139237787  fv      Gamma      RP(P), Gamma    FALSE #> 9507   595 0.7110869 0.135311991  fv      Gamma      RP(P), Gamma    FALSE #> 9523   596 0.8419027 0.157392494  fv      Gamma      RP(P), Gamma    FALSE #> 9539   597 0.9726863 0.183877561  fv      Gamma      RP(P), Gamma    FALSE #> 9555   598 0.7321676 0.138931246  fv      Gamma      RP(P), Gamma    FALSE #> 9571   599 1.0933409 0.198947458  fv      Gamma      RP(P), Gamma    FALSE #> 9587   600 0.9365142 0.172756965  fv      Gamma      RP(P), Gamma    FALSE #> 9603   601 0.6900339 0.131971647  fv      Gamma      RP(P), Gamma    FALSE #> 9619   602 0.8071034 0.154541397  fv      Gamma      RP(P), Gamma    FALSE #> 9635   603 0.6864634 0.131149003  fv      Gamma      RP(P), Gamma    FALSE #> 9651   604 0.8388411 0.164957900  fv      Gamma      RP(P), Gamma    FALSE #> 9667   605 0.8991808 0.170856264  fv      Gamma      RP(P), Gamma    FALSE #> 9683   606 0.7896722 0.149157106  fv      Gamma      RP(P), Gamma    FALSE #> 9699   607 0.6483373 0.125688013  fv      Gamma      RP(P), Gamma    FALSE #> 9715   608 0.8165667 0.153820340  fv      Gamma      RP(P), Gamma    FALSE #> 9731   609 0.8902387 0.166429149  fv      Gamma      RP(P), Gamma    FALSE #> 9747   610 0.7933518 0.149471334  fv      Gamma      RP(P), Gamma    FALSE #> 9763   611 0.6512893 0.125696501  fv      Gamma      RP(P), Gamma    FALSE #> 9779   612 0.8855873 0.165210328  fv      Gamma      RP(P), Gamma    FALSE #> 9795   613 0.7551929 0.143131416  fv      Gamma      RP(P), Gamma    FALSE #> 9811   614 0.7010086 0.134204870  fv      Gamma      RP(P), Gamma    FALSE #> 9827   615 0.6334929 0.122282301  fv      Gamma      RP(P), Gamma    FALSE #> 9843   616        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 9859   617 0.9807549 0.184785018  fv      Gamma      RP(P), Gamma    FALSE #> 9875   618 0.5779344 0.112517396  fv      Gamma      RP(P), Gamma    FALSE #> 9891   619 0.6355496 0.122741929  fv      Gamma      RP(P), Gamma    FALSE #> 9907   620 0.6841379 0.131439881  fv      Gamma      RP(P), Gamma    FALSE #> 9923   621 0.7994067 0.150798986  fv      Gamma      RP(P), Gamma    FALSE #> 9939   622 1.1226630 0.204596360  fv      Gamma      RP(P), Gamma     TRUE #> 9955   623 0.5592545 0.109014752  fv      Gamma      RP(P), Gamma    FALSE #> 9971   624 0.7146248 0.135617788  fv      Gamma      RP(P), Gamma    FALSE #> 9987   625 0.6678007 0.128544119  fv      Gamma      RP(P), Gamma    FALSE #> 10003  626 0.5438265 0.107223540  fv      Gamma      RP(P), Gamma    FALSE #> 10019  627 0.6402631 0.127929319  fv      Gamma      RP(P), Gamma    FALSE #> 10035  628 0.7161136 0.135821754  fv      Gamma      RP(P), Gamma    FALSE #> 10051  629 0.5761695 0.113413852  fv      Gamma      RP(P), Gamma    FALSE #> 10067  630 0.9265988 0.172078476  fv      Gamma      RP(P), Gamma    FALSE #> 10083  631 0.8463990 0.163840387  fv      Gamma      RP(P), Gamma    FALSE #> 10099  632 0.5918212 0.115253393  fv      Gamma      RP(P), Gamma    FALSE #> 10115  633 0.5392676 0.105659170  fv      Gamma      RP(P), Gamma    FALSE #> 10131  634 0.5612710 0.109666236  fv      Gamma      RP(P), Gamma    FALSE #> 10147  635 0.4758954 0.095277949  fv      Gamma      RP(P), Gamma    FALSE #> 10163  636 0.6850059 0.132963753  fv      Gamma      RP(P), Gamma    FALSE #> 10179  637 0.7534974 0.142630643  fv      Gamma      RP(P), Gamma    FALSE #> 10195  638 0.6156667 0.122944131  fv      Gamma      RP(P), Gamma    FALSE #> 10211  639 0.7024871 0.133973160  fv      Gamma      RP(P), Gamma    FALSE #> 10227  640 0.6138612 0.120005152  fv      Gamma      RP(P), Gamma    FALSE #> 10243  641 0.6687009 0.127792012  fv      Gamma      RP(P), Gamma    FALSE #> 10259  642 0.6827599 0.131499855  fv      Gamma      RP(P), Gamma    FALSE #> 10275  643 0.6416117 0.123916292  fv      Gamma      RP(P), Gamma    FALSE #> 10291  644 0.9303135 0.178541883  fv      Gamma      RP(P), Gamma    FALSE #> 10307  645 0.5072111 0.099892269  fv      Gamma      RP(P), Gamma    FALSE #> 10323  646 0.5770236 0.112923822  fv      Gamma      RP(P), Gamma    FALSE #> 10339  647 1.0987860 0.202063919  fv      Gamma      RP(P), Gamma     TRUE #> 10355  648 0.7249466 0.137273492  fv      Gamma      RP(P), Gamma    FALSE #> 10371  649 0.8361975 0.156905913  fv      Gamma      RP(P), Gamma    FALSE #> 10387  650 0.9657631 0.179386120  fv      Gamma      RP(P), Gamma    FALSE #> 10403  651 0.9480153 0.175508178  fv      Gamma      RP(P), Gamma    FALSE #> 10419  652 0.7609753 0.144403263  fv      Gamma      RP(P), Gamma    FALSE #> 10435  653 0.9390345 0.178175424  fv      Gamma      RP(P), Gamma    FALSE #> 10451  654 0.6071795 0.117910755  fv      Gamma      RP(P), Gamma    FALSE #> 10467  655 0.6768799 0.129452910  fv      Gamma      RP(P), Gamma    FALSE #> 10483  656 0.7872342 0.148934201  fv      Gamma      RP(P), Gamma    FALSE #> 10499  657 0.7155506 0.136779245  fv      Gamma      RP(P), Gamma    FALSE #> 10515  658 0.8186467 0.154783223  fv      Gamma      RP(P), Gamma    FALSE #> 10531  659 0.8561195 0.161384412  fv      Gamma      RP(P), Gamma    FALSE #> 10547  660 0.7969361 0.153486464  fv      Gamma      RP(P), Gamma    FALSE #> 10563  661 0.5847750 0.113459778  fv      Gamma      RP(P), Gamma    FALSE #> 10579  662 0.4491533 0.089376759  fv      Gamma      RP(P), Gamma    FALSE #> 10595  663 0.6583715 0.127150411  fv      Gamma      RP(P), Gamma    FALSE #> 10611  664 0.7245792 0.137191115  fv      Gamma      RP(P), Gamma    FALSE #> 10627  665 0.6935069 0.133446603  fv      Gamma      RP(P), Gamma    FALSE #> 10643  666 0.6789625 0.133210260  fv      Gamma      RP(P), Gamma    FALSE #> 10659  667        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 10675  668 0.8326042 0.159460222  fv      Gamma      RP(P), Gamma    FALSE #> 10691  669 0.5423378 0.106498804  fv      Gamma      RP(P), Gamma    FALSE #> 10707  670 0.8502685 0.162585636  fv      Gamma      RP(P), Gamma    FALSE #> 10723  671 0.8776545 0.164067176  fv      Gamma      RP(P), Gamma    FALSE #> 10739  672 0.6152927 0.119051797  fv      Gamma      RP(P), Gamma    FALSE #> 10755  673 0.6122459 0.117726094  fv      Gamma      RP(P), Gamma    FALSE #> 10771  674 0.9559380 0.181254051  fv      Gamma      RP(P), Gamma    FALSE #> 10787  675 0.6980390 0.132753824  fv      Gamma      RP(P), Gamma    FALSE #> 10803  676 0.5088804 0.102994006  fv      Gamma      RP(P), Gamma    FALSE #> 10819  677 0.6339165 0.121646475  fv      Gamma      RP(P), Gamma    FALSE #> 10835  678 0.8369559 0.157675553  fv      Gamma      RP(P), Gamma    FALSE #> 10851  679 0.9492848 0.176109260  fv      Gamma      RP(P), Gamma    FALSE #> 10867  680 0.6841460 0.135356905  fv      Gamma      RP(P), Gamma    FALSE #> 10883  681 0.5654321 0.110524762  fv      Gamma      RP(P), Gamma    FALSE #> 10899  682 0.7617394 0.144044913  fv      Gamma      RP(P), Gamma    FALSE #> 10915  683 0.8624482 0.164333849  fv      Gamma      RP(P), Gamma    FALSE #> 10931  684 0.9321014 0.172684748  fv      Gamma      RP(P), Gamma    FALSE #> 10947  685 0.6441355 0.123847642  fv      Gamma      RP(P), Gamma    FALSE #> 10963  686 0.5512106 0.108266248  fv      Gamma      RP(P), Gamma    FALSE #> 10979  687        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 10995  688 0.7248728 0.137856421  fv      Gamma      RP(P), Gamma    FALSE #> 11011  689 0.7052454 0.134429054  fv      Gamma      RP(P), Gamma    FALSE #> 11027  690        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11043  691        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11059  692 0.7287757 0.137960478  fv      Gamma      RP(P), Gamma    FALSE #> 11075  693 0.8591672 0.163147539  fv      Gamma      RP(P), Gamma    FALSE #> 11091  694 0.8546217 0.161886212  fv      Gamma      RP(P), Gamma    FALSE #> 11107  695 0.7359517 0.143204482  fv      Gamma      RP(P), Gamma    FALSE #> 11123  696 0.7274184 0.140975651  fv      Gamma      RP(P), Gamma    FALSE #> 11139  697 0.7343352 0.139432429  fv      Gamma      RP(P), Gamma    FALSE #> 11155  698 0.7107206 0.135622115  fv      Gamma      RP(P), Gamma    FALSE #> 11171  699 0.7219693 0.136624664  fv      Gamma      RP(P), Gamma    FALSE #> 11187  700        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11203  701 0.6390749 0.122901167  fv      Gamma      RP(P), Gamma    FALSE #> 11219  702 0.7207084 0.141765393  fv      Gamma      RP(P), Gamma    FALSE #> 11235  703 0.5731972 0.112301241  fv      Gamma      RP(P), Gamma    FALSE #> 11251  704 0.9050465 0.167387536  fv      Gamma      RP(P), Gamma    FALSE #> 11267  705 0.9729034 0.179704350  fv      Gamma      RP(P), Gamma    FALSE #> 11283  706 0.7510740 0.142142712  fv      Gamma      RP(P), Gamma    FALSE #> 11299  707 0.5762848 0.113425276  fv      Gamma      RP(P), Gamma    FALSE #> 11315  708 0.8182433 0.157478515  fv      Gamma      RP(P), Gamma    FALSE #> 11331  709 0.7488299 0.141777904  fv      Gamma      RP(P), Gamma    FALSE #> 11347  710 0.7464753 0.140839219  fv      Gamma      RP(P), Gamma    FALSE #> 11363  711 0.3895724 0.079456850  fv      Gamma      RP(P), Gamma    FALSE #> 11379  712 0.7226782 0.137898089  fv      Gamma      RP(P), Gamma    FALSE #> 11395  713 0.7579136 0.142711103  fv      Gamma      RP(P), Gamma    FALSE #> 11411  714 0.8613708 0.165279895  fv      Gamma      RP(P), Gamma    FALSE #> 11427  715 0.9499191 0.176494223  fv      Gamma      RP(P), Gamma    FALSE #> 11443  716 0.8153731 0.154756057  fv      Gamma      RP(P), Gamma    FALSE #> 11459  717 0.6266283 0.125506065  fv      Gamma      RP(P), Gamma    FALSE #> 11475  718        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11491  719 0.6487120 0.124374007  fv      Gamma      RP(P), Gamma    FALSE #> 11507  720 0.6467946 0.124681595  fv      Gamma      RP(P), Gamma    FALSE #> 11523  721 0.8677451 0.163658213  fv      Gamma      RP(P), Gamma    FALSE #> 11539  722 0.8762603 0.164114507  fv      Gamma      RP(P), Gamma    FALSE #> 11555  723 0.7702204 0.149232323  fv      Gamma      RP(P), Gamma    FALSE #> 11571  724        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11587  725 0.6452807 0.123798465  fv      Gamma      RP(P), Gamma    FALSE #> 11603  726 0.6388286 0.124187802  fv      Gamma      RP(P), Gamma    FALSE #> 11619  727 0.8294437 0.158131813  fv      Gamma      RP(P), Gamma    FALSE #> 11635  728 0.5498798 0.110995415  fv      Gamma      RP(P), Gamma    FALSE #> 11651  729 0.7956737 0.149669575  fv      Gamma      RP(P), Gamma    FALSE #> 11667  730 0.9039416 0.172983881  fv      Gamma      RP(P), Gamma    FALSE #> 11683  731 0.9129412 0.170480535  fv      Gamma      RP(P), Gamma    FALSE #> 11699  732 0.8631376 0.160142721  fv      Gamma      RP(P), Gamma    FALSE #> 11715  733 0.5700636 0.111318610  fv      Gamma      RP(P), Gamma    FALSE #> 11731  734 0.5720887 0.111838652  fv      Gamma      RP(P), Gamma    FALSE #> 11747  735 0.7865514 0.148067100  fv      Gamma      RP(P), Gamma    FALSE #> 11763  736 0.8314412 0.159749066  fv      Gamma      RP(P), Gamma    FALSE #> 11779  737 0.7051831 0.134332472  fv      Gamma      RP(P), Gamma    FALSE #> 11795  738 0.6441563 0.129738565  fv      Gamma      RP(P), Gamma    FALSE #> 11811  739 0.6962830 0.133154711  fv      Gamma      RP(P), Gamma    FALSE #> 11827  740 0.6820458 0.130662984  fv      Gamma      RP(P), Gamma    FALSE #> 11843  741        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11859  742 0.6129049 0.118716275  fv      Gamma      RP(P), Gamma    FALSE #> 11875  743 0.7773048 0.146924665  fv      Gamma      RP(P), Gamma    FALSE #> 11891  744 1.0015653 0.188279252  fv      Gamma      RP(P), Gamma    FALSE #> 11907  745 0.6374989 0.124833327  fv      Gamma      RP(P), Gamma    FALSE #> 11923  746 0.4555035 0.091061162  fv      Gamma      RP(P), Gamma    FALSE #> 11939  747 0.6241370 0.120584114  fv      Gamma      RP(P), Gamma    FALSE #> 11955  748 0.8319601 0.155303605  fv      Gamma      RP(P), Gamma    FALSE #> 11971  749 0.6239035 0.120784818  fv      Gamma      RP(P), Gamma    FALSE #> 11987  750 0.5559165 0.108448974  fv      Gamma      RP(P), Gamma    FALSE #> 12003  751 0.9025966 0.167345296  fv      Gamma      RP(P), Gamma    FALSE #> 12019  752 0.8153572 0.153739062  fv      Gamma      RP(P), Gamma    FALSE #> 12035  753 0.6272796 0.122999496  fv      Gamma      RP(P), Gamma    FALSE #> 12051  754 0.7630634 0.144501360  fv      Gamma      RP(P), Gamma    FALSE #> 12067  755 0.7765286 0.147048699  fv      Gamma      RP(P), Gamma    FALSE #> 12083  756 1.1339230 0.205593685  fv      Gamma      RP(P), Gamma     TRUE #> 12099  757 0.6148180 0.119394869  fv      Gamma      RP(P), Gamma    FALSE #> 12115  758 0.5432530 0.106690499  fv      Gamma      RP(P), Gamma    FALSE #> 12131  759 0.6139540 0.118795452  fv      Gamma      RP(P), Gamma    FALSE #> 12147  760 0.6053061 0.117009343  fv      Gamma      RP(P), Gamma    FALSE #> 12163  761 0.7687177 0.146506742  fv      Gamma      RP(P), Gamma    FALSE #> 12179  762 0.6503456 0.125085698  fv      Gamma      RP(P), Gamma    FALSE #> 12195  763 0.6147158 0.119201346  fv      Gamma      RP(P), Gamma    FALSE #> 12211  764 0.7158499 0.137306674  fv      Gamma      RP(P), Gamma    FALSE #> 12227  765 0.7002176 0.134930951  fv      Gamma      RP(P), Gamma    FALSE #> 12243  766 0.5657031 0.110972938  fv      Gamma      RP(P), Gamma    FALSE #> 12259  767 0.7776944 0.147857952  fv      Gamma      RP(P), Gamma    FALSE #> 12275  768 0.7286661 0.138405976  fv      Gamma      RP(P), Gamma    FALSE #> 12291  769 0.8013336 0.150430910  fv      Gamma      RP(P), Gamma    FALSE #> 12307  770 0.5887824 0.116113997  fv      Gamma      RP(P), Gamma    FALSE #> 12323  771 0.5586792 0.109343864  fv      Gamma      RP(P), Gamma    FALSE #> 12339  772 0.8625072 0.165893739  fv      Gamma      RP(P), Gamma    FALSE #> 12355  773 0.6841501 0.132154034  fv      Gamma      RP(P), Gamma    FALSE #> 12371  774 0.7403145 0.140287332  fv      Gamma      RP(P), Gamma    FALSE #> 12387  775 0.9725393 0.183070759  fv      Gamma      RP(P), Gamma    FALSE #> 12403  776 0.7450303 0.140817496  fv      Gamma      RP(P), Gamma    FALSE #> 12419  777 0.6343648 0.122711321  fv      Gamma      RP(P), Gamma    FALSE #> 12435  778 0.7993270 0.151902110  fv      Gamma      RP(P), Gamma    FALSE #> 12451  779 0.8088646 0.152875106  fv      Gamma      RP(P), Gamma    FALSE #> 12467  780        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 12483  781 0.6087847 0.119407501  fv      Gamma      RP(P), Gamma    FALSE #> 12499  782 0.6605803 0.131867548  fv      Gamma      RP(P), Gamma    FALSE #> 12515  783 0.7750586 0.146132801  fv      Gamma      RP(P), Gamma    FALSE #> 12531  784 0.6495380 0.124443981  fv      Gamma      RP(P), Gamma    FALSE #> 12547  785 0.6407272 0.123198032  fv      Gamma      RP(P), Gamma    FALSE #> 12563  786 0.9000376 0.168714826  fv      Gamma      RP(P), Gamma    FALSE #> 12579  787 0.8111483 0.157542078  fv      Gamma      RP(P), Gamma    FALSE #> 12595  788 0.7380264 0.140992473  fv      Gamma      RP(P), Gamma    FALSE #> 12611  789 0.8476976 0.161406608  fv      Gamma      RP(P), Gamma    FALSE #> 12627  790 0.9024427 0.172655911  fv      Gamma      RP(P), Gamma    FALSE #> 12643  791 0.9430376 0.178166763  fv      Gamma      RP(P), Gamma    FALSE #> 12659  792 0.9351843 0.174085705  fv      Gamma      RP(P), Gamma    FALSE #> 12675  793 0.6732365 0.129192553  fv      Gamma      RP(P), Gamma    FALSE #> 12691  794 0.3859247 0.078027842  fv      Gamma      RP(P), Gamma    FALSE #> 12707  795 0.6998057 0.134561671  fv      Gamma      RP(P), Gamma    FALSE #> 12723  796 0.7919689 0.150058245  fv      Gamma      RP(P), Gamma    FALSE #> 12739  797 0.6275349 0.122051366  fv      Gamma      RP(P), Gamma    FALSE #> 12755  798 0.5850261 0.114219338  fv      Gamma      RP(P), Gamma    FALSE #> 12771  799 0.9191908 0.178128093  fv      Gamma      RP(P), Gamma    FALSE #> 12787  800 0.8922223 0.166340459  fv      Gamma      RP(P), Gamma    FALSE #> 12803  801 0.6043574 0.118347117  fv      Gamma      RP(P), Gamma    FALSE #> 12819  802 0.6171306 0.118894255  fv      Gamma      RP(P), Gamma    FALSE #> 12835  803 0.7658729 0.144480842  fv      Gamma      RP(P), Gamma    FALSE #> 12851  804 0.7889772 0.149222466  fv      Gamma      RP(P), Gamma    FALSE #> 12867  805 0.8005181 0.151346516  fv      Gamma      RP(P), Gamma    FALSE #> 12883  806 0.5808515 0.112939967  fv      Gamma      RP(P), Gamma    FALSE #> 12899  807 0.9661626 0.179076575  fv      Gamma      RP(P), Gamma    FALSE #> 12915  808 0.7042314 0.138042522  fv      Gamma      RP(P), Gamma    FALSE #> 12931  809 0.8734012 0.167819080  fv      Gamma      RP(P), Gamma    FALSE #> 12947  810 0.7531191 0.142535233  fv      Gamma      RP(P), Gamma    FALSE #> 12963  811 0.9776521 0.180079230  fv      Gamma      RP(P), Gamma    FALSE #> 12979  812 0.6756066 0.130110250  fv      Gamma      RP(P), Gamma    FALSE #> 12995  813 0.8547872 0.159923942  fv      Gamma      RP(P), Gamma    FALSE #> 13011  814 0.8478379 0.160402232  fv      Gamma      RP(P), Gamma    FALSE #> 13027  815 1.0381546 0.193586062  fv      Gamma      RP(P), Gamma    FALSE #> 13043  816 0.6065386 0.119016822  fv      Gamma      RP(P), Gamma    FALSE #> 13059  817 0.8312686 0.160699876  fv      Gamma      RP(P), Gamma    FALSE #> 13075  818 0.6723233 0.130326892  fv      Gamma      RP(P), Gamma    FALSE #> 13091  819 0.9040734 0.172206834  fv      Gamma      RP(P), Gamma    FALSE #> 13107  820 0.6626870 0.126985479  fv      Gamma      RP(P), Gamma    FALSE #> 13123  821 0.7749392 0.149228961  fv      Gamma      RP(P), Gamma    FALSE #> 13139  822 0.5198505 0.102096349  fv      Gamma      RP(P), Gamma    FALSE #> 13155  823 0.7135305 0.136903270  fv      Gamma      RP(P), Gamma    FALSE #> 13171  824 0.7431181 0.141763121  fv      Gamma      RP(P), Gamma    FALSE #> 13187  825 0.5631657 0.110129879  fv      Gamma      RP(P), Gamma    FALSE #> 13203  826 0.7061344 0.133539029  fv      Gamma      RP(P), Gamma    FALSE #> 13219  827 0.6528873 0.124927870  fv      Gamma      RP(P), Gamma    FALSE #> 13235  828 0.9604082 0.181879005  fv      Gamma      RP(P), Gamma    FALSE #> 13251  829 0.6024186 0.116726974  fv      Gamma      RP(P), Gamma    FALSE #> 13267  830 0.8517937 0.160118257  fv      Gamma      RP(P), Gamma    FALSE #> 13283  831 0.5413722 0.107776935  fv      Gamma      RP(P), Gamma    FALSE #> 13299  832 0.7271789 0.138304720  fv      Gamma      RP(P), Gamma    FALSE #> 13315  833 0.7249351 0.138256244  fv      Gamma      RP(P), Gamma    FALSE #> 13331  834 0.5385471 0.106479275  fv      Gamma      RP(P), Gamma    FALSE #> 13347  835 0.6823086 0.130247610  fv      Gamma      RP(P), Gamma    FALSE #> 13363  836 0.7231375 0.138611031  fv      Gamma      RP(P), Gamma    FALSE #> 13379  837 0.6984835 0.134825376  fv      Gamma      RP(P), Gamma    FALSE #> 13395  838 0.9073089 0.168321113  fv      Gamma      RP(P), Gamma    FALSE #> 13411  839 0.6372419 0.123018519  fv      Gamma      RP(P), Gamma    FALSE #> 13427  840 0.7448403 0.141879837  fv      Gamma      RP(P), Gamma    FALSE #> 13443  841 0.7244250 0.136804241  fv      Gamma      RP(P), Gamma    FALSE #> 13459  842 0.7297928 0.140145685  fv      Gamma      RP(P), Gamma    FALSE #> 13475  843 0.9415358 0.175690499  fv      Gamma      RP(P), Gamma    FALSE #> 13491  844 0.7608448 0.146469678  fv      Gamma      RP(P), Gamma    FALSE #> 13507  845 0.8961165 0.167892095  fv      Gamma      RP(P), Gamma    FALSE #> 13523  846 0.6313314 0.123796847  fv      Gamma      RP(P), Gamma    FALSE #> 13539  847 0.6408113 0.126385690  fv      Gamma      RP(P), Gamma    FALSE #> 13555  848 0.5258133 0.103834384  fv      Gamma      RP(P), Gamma    FALSE #> 13571  849 0.7230815 0.136689050  fv      Gamma      RP(P), Gamma    FALSE #> 13587  850 0.6668834 0.127661821  fv      Gamma      RP(P), Gamma    FALSE #> 13603  851 0.7700720 0.146643873  fv      Gamma      RP(P), Gamma    FALSE #> 13619  852 0.4635693 0.092359411  fv      Gamma      RP(P), Gamma    FALSE #> 13635  853 0.7474297 0.141513530  fv      Gamma      RP(P), Gamma    FALSE #> 13651  854 0.5512805 0.108040252  fv      Gamma      RP(P), Gamma    FALSE #> 13667  855 0.9322641 0.173321281  fv      Gamma      RP(P), Gamma    FALSE #> 13683  856 0.8130425 0.152735715  fv      Gamma      RP(P), Gamma    FALSE #> 13699  857 0.5913117 0.115856491  fv      Gamma      RP(P), Gamma    FALSE #> 13715  858 0.6348206 0.123095885  fv      Gamma      RP(P), Gamma    FALSE #> 13731  859 0.6829374 0.133973853  fv      Gamma      RP(P), Gamma    FALSE #> 13747  860 0.6630881 0.127449186  fv      Gamma      RP(P), Gamma    FALSE #> 13763  861 0.8296646 0.156284689  fv      Gamma      RP(P), Gamma    FALSE #> 13779  862 0.6256559 0.120163322  fv      Gamma      RP(P), Gamma    FALSE #> 13795  863 0.7547157 0.143508193  fv      Gamma      RP(P), Gamma    FALSE #> 13811  864 0.7274700 0.139329512  fv      Gamma      RP(P), Gamma    FALSE #> 13827  865 0.7915269 0.150148411  fv      Gamma      RP(P), Gamma    FALSE #> 13843  866 0.6938166 0.132710273  fv      Gamma      RP(P), Gamma    FALSE #> 13859  867 0.7270595 0.138558270  fv      Gamma      RP(P), Gamma    FALSE #> 13875  868 0.7646349 0.145030386  fv      Gamma      RP(P), Gamma    FALSE #> 13891  869 0.7412567 0.141031242  fv      Gamma      RP(P), Gamma    FALSE #> 13907  870 0.6928811 0.135884346  fv      Gamma      RP(P), Gamma    FALSE #> 13923  871        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 13939  872 0.8741667 0.164519963  fv      Gamma      RP(P), Gamma    FALSE #> 13955  873 0.8141794 0.152418868  fv      Gamma      RP(P), Gamma    FALSE #> 13971  874 1.0582781 0.201045860  fv      Gamma      RP(P), Gamma    FALSE #> 13987  875 0.6152695 0.118843687  fv      Gamma      RP(P), Gamma    FALSE #> 14003  876 0.6653659 0.127197470  fv      Gamma      RP(P), Gamma    FALSE #> 14019  877 0.7482744 0.141869490  fv      Gamma      RP(P), Gamma    FALSE #> 14035  878 0.7940041 0.152669508  fv      Gamma      RP(P), Gamma    FALSE #> 14051  879 0.7056140 0.139457238  fv      Gamma      RP(P), Gamma    FALSE #> 14067  880 0.9237356 0.171450639  fv      Gamma      RP(P), Gamma    FALSE #> 14083  881        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 14099  882 0.9622642 0.177419442  fv      Gamma      RP(P), Gamma    FALSE #> 14115  883 0.6122745 0.118943858  fv      Gamma      RP(P), Gamma    FALSE #> 14131  884 0.6036147 0.116254204  fv      Gamma      RP(P), Gamma    FALSE #> 14147  885 0.5917685 0.115023471  fv      Gamma      RP(P), Gamma    FALSE #> 14163  886 0.5903262 0.115035223  fv      Gamma      RP(P), Gamma    FALSE #> 14179  887 0.7178929 0.137358795  fv      Gamma      RP(P), Gamma    FALSE #> 14195  888 0.9596692 0.177126009  fv      Gamma      RP(P), Gamma    FALSE #> 14211  889 0.8047857 0.150574821  fv      Gamma      RP(P), Gamma    FALSE #> 14227  890 0.6195377 0.120542563  fv      Gamma      RP(P), Gamma    FALSE #> 14243  891 0.5142069 0.100991313  fv      Gamma      RP(P), Gamma    FALSE #> 14259  892 0.6862121 0.131311434  fv      Gamma      RP(P), Gamma    FALSE #> 14275  893 0.8301538 0.158225903  fv      Gamma      RP(P), Gamma    FALSE #> 14291  894 0.5690579 0.111132288  fv      Gamma      RP(P), Gamma    FALSE #> 14307  895 0.7646876 0.145255201  fv      Gamma      RP(P), Gamma    FALSE #> 14323  896 0.8736150 0.162750200  fv      Gamma      RP(P), Gamma    FALSE #> 14339  897 0.7174357 0.136603078  fv      Gamma      RP(P), Gamma    FALSE #> 14355  898 0.9077453 0.168301401  fv      Gamma      RP(P), Gamma    FALSE #> 14371  899 0.7703075 0.146578385  fv      Gamma      RP(P), Gamma    FALSE #> 14387  900 0.7968261 0.152992830  fv      Gamma      RP(P), Gamma    FALSE #> 14403  901 0.6041539 0.117492458  fv      Gamma      RP(P), Gamma    FALSE #> 14419  902 0.5806196 0.112757680  fv      Gamma      RP(P), Gamma    FALSE #> 14435  903 0.6449749 0.123830439  fv      Gamma      RP(P), Gamma    FALSE #> 14451  904 1.0648896 0.202836264  fv      Gamma      RP(P), Gamma    FALSE #> 14467  905 0.6172244 0.118612589  fv      Gamma      RP(P), Gamma    FALSE #> 14483  906 0.9307485 0.171739678  fv      Gamma      RP(P), Gamma    FALSE #> 14499  907 0.7212674 0.137324092  fv      Gamma      RP(P), Gamma    FALSE #> 14515  908 0.6557254 0.129913240  fv      Gamma      RP(P), Gamma    FALSE #> 14531  909 0.6191823 0.120399527  fv      Gamma      RP(P), Gamma    FALSE #> 14547  910 0.5543950 0.108411251  fv      Gamma      RP(P), Gamma    FALSE #> 14563  911 0.7093924 0.139027722  fv      Gamma      RP(P), Gamma    FALSE #> 14579  912 0.5474285 0.106437830  fv      Gamma      RP(P), Gamma    FALSE #> 14595  913 0.7027527 0.133771400  fv      Gamma      RP(P), Gamma    FALSE #> 14611  914 0.6350090 0.123912603  fv      Gamma      RP(P), Gamma    FALSE #> 14627  915 0.8877144 0.168402032  fv      Gamma      RP(P), Gamma    FALSE #> 14643  916 0.5324769 0.103993777  fv      Gamma      RP(P), Gamma    FALSE #> 14659  917 0.8257094 0.158306447  fv      Gamma      RP(P), Gamma    FALSE #> 14675  918 0.7822604 0.147161994  fv      Gamma      RP(P), Gamma    FALSE #> 14691  919 0.5649634 0.109871170  fv      Gamma      RP(P), Gamma    FALSE #> 14707  920 0.7581416 0.142890003  fv      Gamma      RP(P), Gamma    FALSE #> 14723  921 0.8239834 0.155853841  fv      Gamma      RP(P), Gamma    FALSE #> 14739  922 1.0610788 0.198654926  fv      Gamma      RP(P), Gamma    FALSE #> 14755  923 0.7195818 0.136933304  fv      Gamma      RP(P), Gamma    FALSE #> 14771  924 0.7698761 0.144921933  fv      Gamma      RP(P), Gamma    FALSE #> 14787  925 0.8687568 0.166258634  fv      Gamma      RP(P), Gamma    FALSE #> 14803  926 0.7069269 0.133988760  fv      Gamma      RP(P), Gamma    FALSE #> 14819  927 0.4598690 0.091786557  fv      Gamma      RP(P), Gamma    FALSE #> 14835  928 0.6924455 0.131790224  fv      Gamma      RP(P), Gamma    FALSE #> 14851  929        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 14867  930 0.8848479 0.169540478  fv      Gamma      RP(P), Gamma    FALSE #> 14883  931 0.6753327 0.128916825  fv      Gamma      RP(P), Gamma    FALSE #> 14899  932 0.8372623 0.156313520  fv      Gamma      RP(P), Gamma    FALSE #> 14915  933 0.6307088 0.122091618  fv      Gamma      RP(P), Gamma    FALSE #> 14931  934 0.6027997 0.116538645  fv      Gamma      RP(P), Gamma    FALSE #> 14947  935 0.5052707 0.100596407  fv      Gamma      RP(P), Gamma    FALSE #> 14963  936 0.5930017 0.114762813  fv      Gamma      RP(P), Gamma    FALSE #> 14979  937 1.1060700 0.204812720  fv      Gamma      RP(P), Gamma     TRUE #> 14995  938 0.7900036 0.149577687  fv      Gamma      RP(P), Gamma    FALSE #> 15011  939 0.8269911 0.155312585  fv      Gamma      RP(P), Gamma    FALSE #> 15027  940 0.7651135 0.144304466  fv      Gamma      RP(P), Gamma    FALSE #> 15043  941 0.6356078 0.122487768  fv      Gamma      RP(P), Gamma    FALSE #> 15059  942 0.6473050 0.124922562  fv      Gamma      RP(P), Gamma    FALSE #> 15075  943 0.4807370 0.095724602  fv      Gamma      RP(P), Gamma    FALSE #> 15091  944 0.6194064 0.119154705  fv      Gamma      RP(P), Gamma    FALSE #> 15107  945 0.6175935 0.119838731  fv      Gamma      RP(P), Gamma    FALSE #> 15123  946 0.7670644 0.149036648  fv      Gamma      RP(P), Gamma    FALSE #> 15139  947 0.6811637 0.132119739  fv      Gamma      RP(P), Gamma    FALSE #> 15155  948 0.5151351 0.102962455  fv      Gamma      RP(P), Gamma    FALSE #> 15171  949 0.6194144 0.120993729  fv      Gamma      RP(P), Gamma    FALSE #> 15187  950 0.6245088 0.122145644  fv      Gamma      RP(P), Gamma    FALSE #> 15203  951 0.7155764 0.136307065  fv      Gamma      RP(P), Gamma    FALSE #> 15219  952 0.6737609 0.129729678  fv      Gamma      RP(P), Gamma    FALSE #> 15235  953 1.0941966 0.202309534  fv      Gamma      RP(P), Gamma    FALSE #> 15251  954 0.6752267 0.129373036  fv      Gamma      RP(P), Gamma    FALSE #> 15267  955 0.8191963 0.153734262  fv      Gamma      RP(P), Gamma    FALSE #> 15283  956 0.6642468 0.128557962  fv      Gamma      RP(P), Gamma    FALSE #> 15299  957 0.6334643 0.123008889  fv      Gamma      RP(P), Gamma    FALSE #> 15315  958 0.5365145 0.105276009  fv      Gamma      RP(P), Gamma    FALSE #> 15331  959 0.5981546 0.115741211  fv      Gamma      RP(P), Gamma    FALSE #> 15347  960 0.7820444 0.148491202  fv      Gamma      RP(P), Gamma    FALSE #> 15363  961 0.5120426 0.101261877  fv      Gamma      RP(P), Gamma    FALSE #> 15379  962 0.9039760 0.168664395  fv      Gamma      RP(P), Gamma    FALSE #> 15395  963 0.8351072 0.158257000  fv      Gamma      RP(P), Gamma    FALSE #> 15411  964 0.6922496 0.132776055  fv      Gamma      RP(P), Gamma    FALSE #> 15427  965 0.6365475 0.123530828  fv      Gamma      RP(P), Gamma    FALSE #> 15443  966 0.7682227 0.146838969  fv      Gamma      RP(P), Gamma    FALSE #> 15459  967 0.6676674 0.127821817  fv      Gamma      RP(P), Gamma    FALSE #> 15475  968 0.5625265 0.109741850  fv      Gamma      RP(P), Gamma    FALSE #> 15491  969 0.7509732 0.144589636  fv      Gamma      RP(P), Gamma    FALSE #> 15507  970 0.7023211 0.138688899  fv      Gamma      RP(P), Gamma    FALSE #> 15523  971 0.6365563 0.123319119  fv      Gamma      RP(P), Gamma    FALSE #> 15539  972 0.6556819 0.129732139  fv      Gamma      RP(P), Gamma    FALSE #> 15555  973 0.9647090 0.185057265  fv      Gamma      RP(P), Gamma    FALSE #> 15571  974 0.5263112 0.103972669  fv      Gamma      RP(P), Gamma    FALSE #> 15587  975 0.5028392 0.099877710  fv      Gamma      RP(P), Gamma    FALSE #> 15603  976 0.7556945 0.143837742  fv      Gamma      RP(P), Gamma    FALSE #> 15619  977 0.8499235 0.158553778  fv      Gamma      RP(P), Gamma    FALSE #> 15635  978 0.8299769 0.159832741  fv      Gamma      RP(P), Gamma    FALSE #> 15651  979 0.8153734 0.157312216  fv      Gamma      RP(P), Gamma    FALSE #> 15667  980 0.5361506 0.105128657  fv      Gamma      RP(P), Gamma    FALSE #> 15683  981 0.7147316 0.137951031  fv      Gamma      RP(P), Gamma    FALSE #> 15699  982 0.9684844 0.181555375  fv      Gamma      RP(P), Gamma    FALSE #> 15715  983 0.5330180 0.105260888  fv      Gamma      RP(P), Gamma    FALSE #> 15731  984 0.7522072 0.143060278  fv      Gamma      RP(P), Gamma    FALSE #> 15747  985 0.8205779 0.157882770  fv      Gamma      RP(P), Gamma    FALSE #> 15763  986 0.6120942 0.117431990  fv      Gamma      RP(P), Gamma    FALSE #> 15779  987 0.5490514 0.107616085  fv      Gamma      RP(P), Gamma    FALSE #> 15795  988 0.6296822 0.121481511  fv      Gamma      RP(P), Gamma    FALSE #> 15811  989 0.7954111 0.149703493  fv      Gamma      RP(P), Gamma    FALSE #> 15827  990 0.7113507 0.134852556  fv      Gamma      RP(P), Gamma    FALSE #> 15843  991 0.7586014 0.144688767  fv      Gamma      RP(P), Gamma    FALSE #> 15859  992 0.7789712 0.148678906  fv      Gamma      RP(P), Gamma    FALSE #> 15875  993 0.9452686 0.175283351  fv      Gamma      RP(P), Gamma    FALSE #> 15891  994 0.6625835 0.127525541  fv      Gamma      RP(P), Gamma    FALSE #> 15907  995 0.8179336 0.154628613  fv      Gamma      RP(P), Gamma    FALSE #> 15923  996 0.6698410 0.128532500  fv      Gamma      RP(P), Gamma    FALSE #> 15939  997 0.6029261 0.120579994  fv      Gamma      RP(P), Gamma    FALSE #> 15955  998 0.6444980 0.124308172  fv      Gamma      RP(P), Gamma    FALSE #> 15971  999 0.5097824 0.100070485  fv      Gamma      RP(P), Gamma    FALSE #> 15987 1000 0.5002252 0.099547221  fv      Gamma      RP(P), Gamma    FALSE #> 4        1 0.8410503 0.180489790  fv      Gamma RP(P), Log-Normal    FALSE #> 20       2 0.8678277 0.194181070  fv      Gamma RP(P), Log-Normal    FALSE #> 36       3 1.5656905 0.354448508  fv      Gamma RP(P), Log-Normal    FALSE #> 52       4 1.2089109 0.260522826  fv      Gamma RP(P), Log-Normal    FALSE #> 68       5 0.9105106 0.200479265  fv      Gamma RP(P), Log-Normal    FALSE #> 84       6 0.9727359 0.207142387  fv      Gamma RP(P), Log-Normal    FALSE #> 100      7 0.9091356 0.198318108  fv      Gamma RP(P), Log-Normal    FALSE #> 116      8 1.3377013 0.293288046  fv      Gamma RP(P), Log-Normal    FALSE #> 132      9 1.2350450 0.276016839  fv      Gamma RP(P), Log-Normal    FALSE #> 148     10 0.9974789 0.217294847  fv      Gamma RP(P), Log-Normal    FALSE #> 164     11 1.0414795 0.229502409  fv      Gamma RP(P), Log-Normal    FALSE #> 180     12 1.4499625 0.321000485  fv      Gamma RP(P), Log-Normal    FALSE #> 196     13 1.2289253 0.270499075  fv      Gamma RP(P), Log-Normal    FALSE #> 212     14 0.7903710 0.178471107  fv      Gamma RP(P), Log-Normal    FALSE #> 228     15 1.1996110 0.263087699  fv      Gamma RP(P), Log-Normal    FALSE #> 244     16 1.2290670 0.262683325  fv      Gamma RP(P), Log-Normal    FALSE #> 260     17 0.7668133 0.166707205  fv      Gamma RP(P), Log-Normal    FALSE #> 276     18 0.5614283 0.129201981  fv      Gamma RP(P), Log-Normal    FALSE #> 292     19 0.8973139 0.194570679  fv      Gamma RP(P), Log-Normal    FALSE #> 308     20 1.2979832 0.290290296  fv      Gamma RP(P), Log-Normal    FALSE #> 324     21 0.6887073 0.156427688  fv      Gamma RP(P), Log-Normal    FALSE #> 340     22 1.2170119 0.272426758  fv      Gamma RP(P), Log-Normal    FALSE #> 356     23 0.8168514 0.177990111  fv      Gamma RP(P), Log-Normal    FALSE #> 372     24 1.0319698 0.223783982  fv      Gamma RP(P), Log-Normal    FALSE #> 388     25 1.1205947 0.246445015  fv      Gamma RP(P), Log-Normal    FALSE #> 404     26 0.9638065 0.214741205  fv      Gamma RP(P), Log-Normal    FALSE #> 420     27 1.8077166 0.405187974  fv      Gamma RP(P), Log-Normal     TRUE #> 436     28 1.4582922 0.319696485  fv      Gamma RP(P), Log-Normal    FALSE #> 452     29 1.2743998 0.277048737  fv      Gamma RP(P), Log-Normal    FALSE #> 468     30 1.4103568 0.311798652  fv      Gamma RP(P), Log-Normal    FALSE #> 484     31 0.8138218 0.185276938  fv      Gamma RP(P), Log-Normal    FALSE #> 500     32 0.9982089 0.220955990  fv      Gamma RP(P), Log-Normal    FALSE #> 516     33 0.8061031 0.175345832  fv      Gamma RP(P), Log-Normal    FALSE #> 532     34 0.7039887 0.153529988  fv      Gamma RP(P), Log-Normal    FALSE #> 548     35 1.0346859 0.233365573  fv      Gamma RP(P), Log-Normal    FALSE #> 564     36 0.7549084 0.171089345  fv      Gamma RP(P), Log-Normal    FALSE #> 580     37 0.7130831 0.152936839  fv      Gamma RP(P), Log-Normal    FALSE #> 596     38 0.6323124 0.137321184  fv      Gamma RP(P), Log-Normal    FALSE #> 612     39 0.9223978 0.197745952  fv      Gamma RP(P), Log-Normal    FALSE #> 628     40 0.5917448 0.131429331  fv      Gamma RP(P), Log-Normal    FALSE #> 644     41 1.7030475 0.362512848  fv      Gamma RP(P), Log-Normal     TRUE #> 660     42 0.9836085 0.221167054  fv      Gamma RP(P), Log-Normal    FALSE #> 676     43 1.0892011 0.236781660  fv      Gamma RP(P), Log-Normal    FALSE #> 692     44 1.0691287 0.229946817  fv      Gamma RP(P), Log-Normal    FALSE #> 708     45 0.9125777 0.193490742  fv      Gamma RP(P), Log-Normal    FALSE #> 724     46 0.8640446 0.183399015  fv      Gamma RP(P), Log-Normal    FALSE #> 740     47 1.3812417 0.310356076  fv      Gamma RP(P), Log-Normal    FALSE #> 756     48 0.9461687 0.209437725  fv      Gamma RP(P), Log-Normal    FALSE #> 772     49 1.2123569 0.272535046  fv      Gamma RP(P), Log-Normal    FALSE #> 788     50 1.0157173 0.219640404  fv      Gamma RP(P), Log-Normal    FALSE #> 804     51 1.2240924 0.266048868  fv      Gamma RP(P), Log-Normal    FALSE #> 820     52 0.6314951 0.135520991  fv      Gamma RP(P), Log-Normal    FALSE #> 836     53 0.7902155 0.170518782  fv      Gamma RP(P), Log-Normal    FALSE #> 852     54 0.6234466 0.136430712  fv      Gamma RP(P), Log-Normal    FALSE #> 868     55 1.1077144 0.243206554  fv      Gamma RP(P), Log-Normal    FALSE #> 884     56 0.8032454 0.176040775  fv      Gamma RP(P), Log-Normal    FALSE #> 900     57 1.0879018 0.236307364  fv      Gamma RP(P), Log-Normal    FALSE #> 916     58 0.9079961 0.206563826  fv      Gamma RP(P), Log-Normal    FALSE #> 932     59 0.8521420 0.182802754  fv      Gamma RP(P), Log-Normal    FALSE #> 948     60 1.1246211 0.247632446  fv      Gamma RP(P), Log-Normal    FALSE #> 964     61 0.8496498 0.182406159  fv      Gamma RP(P), Log-Normal    FALSE #> 980     62 0.6798459 0.145192799  fv      Gamma RP(P), Log-Normal    FALSE #> 996     63 1.1786060 0.259638432  fv      Gamma RP(P), Log-Normal    FALSE #> 1012    64 0.8159884 0.175037739  fv      Gamma RP(P), Log-Normal    FALSE #> 1028    65 0.8800785 0.187329515  fv      Gamma RP(P), Log-Normal    FALSE #> 1044    66 0.6475174 0.141594919  fv      Gamma RP(P), Log-Normal    FALSE #> 1060    67 1.1346861 0.243224867  fv      Gamma RP(P), Log-Normal    FALSE #> 1076    68 0.9451782 0.204530548  fv      Gamma RP(P), Log-Normal    FALSE #> 1092    69 0.6591367 0.142421595  fv      Gamma RP(P), Log-Normal    FALSE #> 1108    70 0.8957225 0.201454630  fv      Gamma RP(P), Log-Normal    FALSE #> 1124    71 1.2425651 0.269862801  fv      Gamma RP(P), Log-Normal    FALSE #> 1140    72 0.7988484 0.172472083  fv      Gamma RP(P), Log-Normal    FALSE #> 1156    73 0.5992919 0.131137709  fv      Gamma RP(P), Log-Normal    FALSE #> 1172    74 0.8804460 0.189838649  fv      Gamma RP(P), Log-Normal    FALSE #> 1188    75 0.9777687 0.216420261  fv      Gamma RP(P), Log-Normal    FALSE #> 1204    76 0.9693736 0.219502318  fv      Gamma RP(P), Log-Normal    FALSE #> 1220    77 1.0165404 0.226139509  fv      Gamma RP(P), Log-Normal    FALSE #> 1236    78 1.4399271 0.315071555  fv      Gamma RP(P), Log-Normal    FALSE #> 1252    79 2.1221995 0.470009490  fv      Gamma RP(P), Log-Normal     TRUE #> 1268    80 0.7791535 0.174703739  fv      Gamma RP(P), Log-Normal    FALSE #> 1284    81 1.2547237 0.280827316  fv      Gamma RP(P), Log-Normal    FALSE #> 1300    82 0.9467868 0.204477217  fv      Gamma RP(P), Log-Normal    FALSE #> 1316    83 0.6230714 0.145922655  fv      Gamma RP(P), Log-Normal    FALSE #> 1332    84 0.9656183 0.208305949  fv      Gamma RP(P), Log-Normal    FALSE #> 1348    85 0.8409584 0.179338509  fv      Gamma RP(P), Log-Normal    FALSE #> 1364    86 0.8783902 0.188634107  fv      Gamma RP(P), Log-Normal    FALSE #> 1380    87 0.7891754 0.171683960  fv      Gamma RP(P), Log-Normal    FALSE #> 1396    88 0.8889765 0.189117565  fv      Gamma RP(P), Log-Normal    FALSE #> 1412    89 1.0136504 0.220546193  fv      Gamma RP(P), Log-Normal    FALSE #> 1428    90 1.1286349 0.241320253  fv      Gamma RP(P), Log-Normal    FALSE #> 1444    91 0.9312858 0.201825397  fv      Gamma RP(P), Log-Normal    FALSE #> 1460    92 0.8289786 0.178341610  fv      Gamma RP(P), Log-Normal    FALSE #> 1476    93 1.4146168 0.330757275  fv      Gamma RP(P), Log-Normal    FALSE #> 1492    94 1.1853824 0.265460198  fv      Gamma RP(P), Log-Normal    FALSE #> 1508    95 0.9465371 0.204446330  fv      Gamma RP(P), Log-Normal    FALSE #> 1524    96 0.5360025 0.117580795  fv      Gamma RP(P), Log-Normal    FALSE #> 1540    97 0.7049504 0.150930049  fv      Gamma RP(P), Log-Normal    FALSE #> 1556    98 1.0626450 0.230692215  fv      Gamma RP(P), Log-Normal    FALSE #> 1572    99 0.7236906 0.160439565  fv      Gamma RP(P), Log-Normal    FALSE #> 1588   100 1.2194488 0.261578712  fv      Gamma RP(P), Log-Normal    FALSE #> 1604   101 1.0668733 0.228523775  fv      Gamma RP(P), Log-Normal    FALSE #> 1620   102 0.9285004 0.200447554  fv      Gamma RP(P), Log-Normal    FALSE #> 1636   103 1.3458088 0.304378913  fv      Gamma RP(P), Log-Normal    FALSE #> 1652   104 1.0710874 0.231465125  fv      Gamma RP(P), Log-Normal    FALSE #> 1668   105 1.2613946 0.281394393  fv      Gamma RP(P), Log-Normal    FALSE #> 1684   106 0.8969644 0.193536579  fv      Gamma RP(P), Log-Normal    FALSE #> 1700   107 1.3073644 0.291540572  fv      Gamma RP(P), Log-Normal    FALSE #> 1716   108 1.2015396 0.273156263  fv      Gamma RP(P), Log-Normal    FALSE #> 1732   109 0.9608367 0.215133741  fv      Gamma RP(P), Log-Normal    FALSE #> 1748   110 1.0549760 0.230967027  fv      Gamma RP(P), Log-Normal    FALSE #> 1764   111 1.1546607 0.253379239  fv      Gamma RP(P), Log-Normal    FALSE #> 1780   112 0.5673895 0.125437515  fv      Gamma RP(P), Log-Normal    FALSE #> 1796   113 0.6343064 0.137652658  fv      Gamma RP(P), Log-Normal    FALSE #> 1812   114 1.6994774 0.372630539  fv      Gamma RP(P), Log-Normal     TRUE #> 1828   115 0.8096436 0.174316311  fv      Gamma RP(P), Log-Normal    FALSE #> 1844   116 0.5983113 0.130571723  fv      Gamma RP(P), Log-Normal    FALSE #> 1860   117 1.0752666 0.230788747  fv      Gamma RP(P), Log-Normal    FALSE #> 1876   118 0.6424306 0.138884328  fv      Gamma RP(P), Log-Normal    FALSE #> 1892   119 0.7987293 0.174838654  fv      Gamma RP(P), Log-Normal    FALSE #> 1908   120 0.9198102 0.199426585  fv      Gamma RP(P), Log-Normal    FALSE #> 1924   121 0.7655232 0.165876205  fv      Gamma RP(P), Log-Normal    FALSE #> 1940   122 0.8673380 0.192315723  fv      Gamma RP(P), Log-Normal    FALSE #> 1956   123 0.9257457 0.199557099  fv      Gamma RP(P), Log-Normal    FALSE #> 1972   124 0.9741059 0.208749126  fv      Gamma RP(P), Log-Normal    FALSE #> 1988   125 1.2460856 0.279458468  fv      Gamma RP(P), Log-Normal    FALSE #> 2004   126 1.5223418 0.348979386  fv      Gamma RP(P), Log-Normal    FALSE #> 2020   127 1.0897918 0.233748704  fv      Gamma RP(P), Log-Normal    FALSE #> 2036   128 1.0913695 0.235245203  fv      Gamma RP(P), Log-Normal    FALSE #> 2052   129 0.7759233 0.174810378  fv      Gamma RP(P), Log-Normal    FALSE #> 2068   130 0.8542536 0.185655091  fv      Gamma RP(P), Log-Normal    FALSE #> 2084   131 0.8677951 0.186392333  fv      Gamma RP(P), Log-Normal    FALSE #> 2100   132 1.0182273 0.229239447  fv      Gamma RP(P), Log-Normal    FALSE #> 2116   133 0.9314544 0.204039232  fv      Gamma RP(P), Log-Normal    FALSE #> 2132   134 1.0852088 0.238460386  fv      Gamma RP(P), Log-Normal    FALSE #> 2148   135 0.7909149 0.173975625  fv      Gamma RP(P), Log-Normal    FALSE #> 2164   136 0.9778860 0.214124322  fv      Gamma RP(P), Log-Normal    FALSE #> 2180   137 1.2598163 0.276133548  fv      Gamma RP(P), Log-Normal    FALSE #> 2196   138 1.2809055 0.281451627  fv      Gamma RP(P), Log-Normal    FALSE #> 2212   139 0.7995624 0.172343978  fv      Gamma RP(P), Log-Normal    FALSE #> 2228   140 1.0542020 0.228792828  fv      Gamma RP(P), Log-Normal    FALSE #> 2244   141 0.7478963 0.168448746  fv      Gamma RP(P), Log-Normal    FALSE #> 2260   142 0.9760714 0.213021566  fv      Gamma RP(P), Log-Normal    FALSE #> 2276   143 1.7801465 0.420367979  fv      Gamma RP(P), Log-Normal     TRUE #> 2292   144 1.1180069 0.240026858  fv      Gamma RP(P), Log-Normal    FALSE #> 2308   145 0.8550480 0.185257078  fv      Gamma RP(P), Log-Normal    FALSE #> 2324   146 0.8869459 0.194368374  fv      Gamma RP(P), Log-Normal    FALSE #> 2340   147 1.0416163 0.222624864  fv      Gamma RP(P), Log-Normal    FALSE #> 2356   148 0.6177941 0.133321319  fv      Gamma RP(P), Log-Normal    FALSE #> 2372   149 0.8384950 0.183594689  fv      Gamma RP(P), Log-Normal    FALSE #> 2388   150 1.1818709 0.256428027  fv      Gamma RP(P), Log-Normal    FALSE #> 2404   151 1.1336835 0.246106754  fv      Gamma RP(P), Log-Normal    FALSE #> 2420   152 1.2047244 0.274407174  fv      Gamma RP(P), Log-Normal    FALSE #> 2436   153 0.6319178 0.140024355  fv      Gamma RP(P), Log-Normal    FALSE #> 2452   154 1.1227542 0.243273981  fv      Gamma RP(P), Log-Normal    FALSE #> 2468   155 0.9472756 0.213435649  fv      Gamma RP(P), Log-Normal    FALSE #> 2484   156 0.9353948 0.201845857  fv      Gamma RP(P), Log-Normal    FALSE #> 2500   157 1.4443196 0.325027201  fv      Gamma RP(P), Log-Normal    FALSE #> 2516   158 1.4804150 0.332558943  fv      Gamma RP(P), Log-Normal    FALSE #> 2532   159 0.6630153 0.148287051  fv      Gamma RP(P), Log-Normal    FALSE #> 2548   160 0.6900087 0.149587077  fv      Gamma RP(P), Log-Normal    FALSE #> 2564   161 1.7387701 0.385887845  fv      Gamma RP(P), Log-Normal     TRUE #> 2580   162 0.9687233 0.217750869  fv      Gamma RP(P), Log-Normal    FALSE #> 2596   163 0.6827167 0.145583781  fv      Gamma RP(P), Log-Normal    FALSE #> 2612   164 1.2172745 0.262189900  fv      Gamma RP(P), Log-Normal    FALSE #> 2628   165 1.0784115 0.233084303  fv      Gamma RP(P), Log-Normal    FALSE #> 2644   166 1.1583751 0.261285259  fv      Gamma RP(P), Log-Normal    FALSE #> 2660   167 1.3212424 0.288994706  fv      Gamma RP(P), Log-Normal    FALSE #> 2676   168 1.0892162 0.232654723  fv      Gamma RP(P), Log-Normal    FALSE #> 2692   169 0.9488717 0.210488425  fv      Gamma RP(P), Log-Normal    FALSE #> 2708   170 0.9425105 0.207346315  fv      Gamma RP(P), Log-Normal    FALSE #> 2724   171 0.9648281 0.217152696  fv      Gamma RP(P), Log-Normal    FALSE #> 2740   172 1.1441352 0.247932693  fv      Gamma RP(P), Log-Normal    FALSE #> 2756   173 0.7910405 0.176024495  fv      Gamma RP(P), Log-Normal    FALSE #> 2772   174 1.1316952 0.249970141  fv      Gamma RP(P), Log-Normal    FALSE #> 2788   175 0.8198924 0.180989910  fv      Gamma RP(P), Log-Normal    FALSE #> 2804   176 0.8753872 0.188037677  fv      Gamma RP(P), Log-Normal    FALSE #> 2820   177 0.7720114 0.176313354  fv      Gamma RP(P), Log-Normal    FALSE #> 2836   178 1.1816336 0.253573112  fv      Gamma RP(P), Log-Normal    FALSE #> 2852   179 0.7570887 0.163987104  fv      Gamma RP(P), Log-Normal    FALSE #> 2868   180 1.0248482 0.231084001  fv      Gamma RP(P), Log-Normal    FALSE #> 2884   181 1.1758148 0.255526928  fv      Gamma RP(P), Log-Normal    FALSE #> 2900   182 0.9353048 0.200381412  fv      Gamma RP(P), Log-Normal    FALSE #> 2916   183 0.7649203 0.166913250  fv      Gamma RP(P), Log-Normal    FALSE #> 2932   184 0.9391842 0.210675866  fv      Gamma RP(P), Log-Normal    FALSE #> 2948   185 1.2001237 0.263877714  fv      Gamma RP(P), Log-Normal    FALSE #> 2964   186 1.3870806 0.315929817  fv      Gamma RP(P), Log-Normal    FALSE #> 2980   187 0.9699397 0.211577834  fv      Gamma RP(P), Log-Normal    FALSE #> 2996   188 0.6690904 0.144881941  fv      Gamma RP(P), Log-Normal    FALSE #> 3012   189 1.0329302 0.225123247  fv      Gamma RP(P), Log-Normal    FALSE #> 3028   190 0.9803038 0.208776860  fv      Gamma RP(P), Log-Normal    FALSE #> 3044   191 1.0084836 0.219927110  fv      Gamma RP(P), Log-Normal    FALSE #> 3060   192 1.0550664 0.236314960  fv      Gamma RP(P), Log-Normal    FALSE #> 3076   193 0.8630140 0.189691189  fv      Gamma RP(P), Log-Normal    FALSE #> 3092   194 0.8052466 0.175195362  fv      Gamma RP(P), Log-Normal    FALSE #> 3108   195 1.0968900 0.233922924  fv      Gamma RP(P), Log-Normal    FALSE #> 3124   196 1.1559404 0.256854876  fv      Gamma RP(P), Log-Normal    FALSE #> 3140   197 0.9197354 0.195423075  fv      Gamma RP(P), Log-Normal    FALSE #> 3156   198 0.9870597 0.210203075  fv      Gamma RP(P), Log-Normal    FALSE #> 3172   199 0.7693873 0.169248931  fv      Gamma RP(P), Log-Normal    FALSE #> 3188   200 1.0852385 0.232970650  fv      Gamma RP(P), Log-Normal    FALSE #> 3204   201 1.0582087 0.233919328  fv      Gamma RP(P), Log-Normal    FALSE #> 3220   202 1.1012224 0.237450055  fv      Gamma RP(P), Log-Normal    FALSE #> 3236   203 0.9917678 0.212158246  fv      Gamma RP(P), Log-Normal    FALSE #> 3252   204 1.0600987 0.242348250  fv      Gamma RP(P), Log-Normal    FALSE #> 3268   205 0.7573698 0.166925875  fv      Gamma RP(P), Log-Normal    FALSE #> 3284   206 1.0214815 0.222696133  fv      Gamma RP(P), Log-Normal    FALSE #> 3300   207 0.6835123 0.147794118  fv      Gamma RP(P), Log-Normal    FALSE #> 3316   208 0.9790364 0.214484170  fv      Gamma RP(P), Log-Normal    FALSE #> 3332   209 0.9284396 0.203537107  fv      Gamma RP(P), Log-Normal    FALSE #> 3348   210 0.9177248 0.203825830  fv      Gamma RP(P), Log-Normal    FALSE #> 3364   211 1.4985260 0.338006117  fv      Gamma RP(P), Log-Normal    FALSE #> 3380   212 0.9970864 0.223396310  fv      Gamma RP(P), Log-Normal    FALSE #> 3396   213 1.1144267 0.246404561  fv      Gamma RP(P), Log-Normal    FALSE #> 3412   214 1.0088299 0.226415030  fv      Gamma RP(P), Log-Normal    FALSE #> 3428   215 1.1291796 0.244563544  fv      Gamma RP(P), Log-Normal    FALSE #> 3444   216 1.2609631 0.275896977  fv      Gamma RP(P), Log-Normal    FALSE #> 3460   217 0.8389670 0.184949511  fv      Gamma RP(P), Log-Normal    FALSE #> 3476   218 0.8453860 0.188622069  fv      Gamma RP(P), Log-Normal    FALSE #> 3492   219 1.2183609 0.274303728  fv      Gamma RP(P), Log-Normal    FALSE #> 3508   220 0.7187300 0.156561885  fv      Gamma RP(P), Log-Normal    FALSE #> 3524   221 0.9388220 0.208447345  fv      Gamma RP(P), Log-Normal    FALSE #> 3540   222 1.1209367 0.250349485  fv      Gamma RP(P), Log-Normal    FALSE #> 3556   223 1.0480275 0.237133986  fv      Gamma RP(P), Log-Normal    FALSE #> 3572   224 1.0128154 0.221061644  fv      Gamma RP(P), Log-Normal    FALSE #> 3588   225 0.8044790 0.173788213  fv      Gamma RP(P), Log-Normal    FALSE #> 3604   226 1.3216154 0.300532131  fv      Gamma RP(P), Log-Normal    FALSE #> 3620   227 0.8680673 0.191662277  fv      Gamma RP(P), Log-Normal    FALSE #> 3636   228 1.1162978 0.238070849  fv      Gamma RP(P), Log-Normal    FALSE #> 3652   229 1.1133721 0.244781394  fv      Gamma RP(P), Log-Normal    FALSE #> 3668   230 0.8878602 0.190636787  fv      Gamma RP(P), Log-Normal    FALSE #> 3684   231 1.1544228 0.255759683  fv      Gamma RP(P), Log-Normal    FALSE #> 3700   232 1.0320456 0.230128037  fv      Gamma RP(P), Log-Normal    FALSE #> 3716   233 1.1888143 0.263237985  fv      Gamma RP(P), Log-Normal    FALSE #> 3732   234 0.9164521 0.201120134  fv      Gamma RP(P), Log-Normal    FALSE #> 3748   235 1.1327970 0.257687761  fv      Gamma RP(P), Log-Normal    FALSE #> 3764   236 0.6460332 0.144131419  fv      Gamma RP(P), Log-Normal    FALSE #> 3780   237 0.8430326 0.186855350  fv      Gamma RP(P), Log-Normal    FALSE #> 3796   238 0.8158895 0.183957007  fv      Gamma RP(P), Log-Normal    FALSE #> 3812   239 0.9394292 0.201459225  fv      Gamma RP(P), Log-Normal    FALSE #> 3828   240 1.1606621 0.257905170  fv      Gamma RP(P), Log-Normal    FALSE #> 3844   241 0.8538658 0.185111653  fv      Gamma RP(P), Log-Normal    FALSE #> 3860   242 0.6336259 0.138341079  fv      Gamma RP(P), Log-Normal    FALSE #> 3876   243 1.3611347 0.316943569  fv      Gamma RP(P), Log-Normal    FALSE #> 3892   244 0.6853487 0.148004398  fv      Gamma RP(P), Log-Normal    FALSE #> 3908   245 1.5239087 0.341431129  fv      Gamma RP(P), Log-Normal    FALSE #> 3924   246 0.8620671 0.184937320  fv      Gamma RP(P), Log-Normal    FALSE #> 3940   247 1.0483086 0.230069168  fv      Gamma RP(P), Log-Normal    FALSE #> 3956   248 1.3814399 0.299598493  fv      Gamma RP(P), Log-Normal    FALSE #> 3972   249 1.4587490 0.332527808  fv      Gamma RP(P), Log-Normal    FALSE #> 3988   250 0.9961178 0.219966795  fv      Gamma RP(P), Log-Normal    FALSE #> 4004   251 1.0802323 0.239577478  fv      Gamma RP(P), Log-Normal    FALSE #> 4020   252 1.1573802 0.260140925  fv      Gamma RP(P), Log-Normal    FALSE #> 4036   253 1.2435742 0.287752260  fv      Gamma RP(P), Log-Normal    FALSE #> 4052   254 0.6213066 0.133993890  fv      Gamma RP(P), Log-Normal    FALSE #> 4068   255 0.9306108 0.196210153  fv      Gamma RP(P), Log-Normal    FALSE #> 4084   256 0.9142294 0.199393458  fv      Gamma RP(P), Log-Normal    FALSE #> 4100   257 0.6756633 0.145660199  fv      Gamma RP(P), Log-Normal    FALSE #> 4116   258 1.0192314 0.236693687  fv      Gamma RP(P), Log-Normal    FALSE #> 4132   259 0.9446257 0.205216936  fv      Gamma RP(P), Log-Normal    FALSE #> 4148   260 1.1233469 0.244803377  fv      Gamma RP(P), Log-Normal    FALSE #> 4164   261 0.5981253 0.129981226  fv      Gamma RP(P), Log-Normal    FALSE #> 4180   262 0.8469669 0.185096728  fv      Gamma RP(P), Log-Normal    FALSE #> 4196   263 0.7899133 0.174604035  fv      Gamma RP(P), Log-Normal    FALSE #> 4212   264 0.6078800 0.131030433  fv      Gamma RP(P), Log-Normal    FALSE #> 4228   265 0.7793063 0.167770678  fv      Gamma RP(P), Log-Normal    FALSE #> 4244   266 0.8557823 0.187576892  fv      Gamma RP(P), Log-Normal    FALSE #> 4260   267 0.9221636 0.200920447  fv      Gamma RP(P), Log-Normal    FALSE #> 4276   268 0.9907061 0.213920651  fv      Gamma RP(P), Log-Normal    FALSE #> 4292   269 1.6707648 0.379565298  fv      Gamma RP(P), Log-Normal     TRUE #> 4308   270 1.2213651 0.278069743  fv      Gamma RP(P), Log-Normal    FALSE #> 4324   271 1.2134813 0.268186948  fv      Gamma RP(P), Log-Normal    FALSE #> 4340   272 0.7105029 0.158227375  fv      Gamma RP(P), Log-Normal    FALSE #> 4356   273 0.8171010 0.178367886  fv      Gamma RP(P), Log-Normal    FALSE #> 4372   274 0.9050407 0.193402733  fv      Gamma RP(P), Log-Normal    FALSE #> 4388   275 1.1353543 0.243983601  fv      Gamma RP(P), Log-Normal    FALSE #> 4404   276 1.0858343 0.244403762  fv      Gamma RP(P), Log-Normal    FALSE #> 4420   277 0.8684428 0.186238953  fv      Gamma RP(P), Log-Normal    FALSE #> 4436   278 1.0203287 0.220451182  fv      Gamma RP(P), Log-Normal    FALSE #> 4452   279 1.0011619 0.217423012  fv      Gamma RP(P), Log-Normal    FALSE #> 4468   280 0.9509821 0.203861367  fv      Gamma RP(P), Log-Normal    FALSE #> 4484   281 1.5506510 0.348875344  fv      Gamma RP(P), Log-Normal    FALSE #> 4500   282 0.7365934 0.158887674  fv      Gamma RP(P), Log-Normal    FALSE #> 4516   283 1.1427590 0.261767217  fv      Gamma RP(P), Log-Normal    FALSE #> 4532   284 0.7622570 0.162455472  fv      Gamma RP(P), Log-Normal    FALSE #> 4548   285 0.5961491 0.129287813  fv      Gamma RP(P), Log-Normal    FALSE #> 4564   286 1.0061213 0.217649530  fv      Gamma RP(P), Log-Normal    FALSE #> 4580   287 0.7806262 0.169733695  fv      Gamma RP(P), Log-Normal    FALSE #> 4596   288 1.8098902 0.399947941  fv      Gamma RP(P), Log-Normal     TRUE #> 4612   289 0.8393518 0.185200626  fv      Gamma RP(P), Log-Normal    FALSE #> 4628   290 0.7468449 0.162723595  fv      Gamma RP(P), Log-Normal    FALSE #> 4644   291 0.7601939 0.165843465  fv      Gamma RP(P), Log-Normal    FALSE #> 4660   292 0.7323268 0.156954458  fv      Gamma RP(P), Log-Normal    FALSE #> 4676   293 1.2258149 0.268151985  fv      Gamma RP(P), Log-Normal    FALSE #> 4692   294 0.8404157 0.183782801  fv      Gamma RP(P), Log-Normal    FALSE #> 4708   295 1.5766100 0.346101076  fv      Gamma RP(P), Log-Normal    FALSE #> 4724   296 1.0056320 0.220767234  fv      Gamma RP(P), Log-Normal    FALSE #> 4740   297 1.7157538 0.372587669  fv      Gamma RP(P), Log-Normal     TRUE #> 4756   298 0.6795482 0.146389054  fv      Gamma RP(P), Log-Normal    FALSE #> 4772   299 0.7207333 0.158465129  fv      Gamma RP(P), Log-Normal    FALSE #> 4788   300 1.1288850 0.241916357  fv      Gamma RP(P), Log-Normal    FALSE #> 4804   301 0.6731434 0.147303733  fv      Gamma RP(P), Log-Normal    FALSE #> 4820   302 1.0472072 0.224351808  fv      Gamma RP(P), Log-Normal    FALSE #> 4836   303 0.7717841 0.166341408  fv      Gamma RP(P), Log-Normal    FALSE #> 4852   304 0.8192309 0.175783833  fv      Gamma RP(P), Log-Normal    FALSE #> 4868   305 1.2026302 0.261708291  fv      Gamma RP(P), Log-Normal    FALSE #> 4884   306 0.9576788 0.208093071  fv      Gamma RP(P), Log-Normal    FALSE #> 4900   307 1.0605048 0.238865352  fv      Gamma RP(P), Log-Normal    FALSE #> 4916   308 0.8711031 0.189633570  fv      Gamma RP(P), Log-Normal    FALSE #> 4932   309 1.0053989 0.216562485  fv      Gamma RP(P), Log-Normal    FALSE #> 4948   310 1.6051705 0.357305337  fv      Gamma RP(P), Log-Normal     TRUE #> 4964   311 1.2178320 0.266118483  fv      Gamma RP(P), Log-Normal    FALSE #> 4980   312 1.8621584 0.430025773  fv      Gamma RP(P), Log-Normal     TRUE #> 4996   313 1.1324318 0.248100889  fv      Gamma RP(P), Log-Normal    FALSE #> 5012   314 0.9259319 0.204944464  fv      Gamma RP(P), Log-Normal    FALSE #> 5028   315 1.0717161 0.231194628  fv      Gamma RP(P), Log-Normal    FALSE #> 5044   316 1.5632161 0.343308715  fv      Gamma RP(P), Log-Normal    FALSE #> 5060   317 0.7911773 0.172163115  fv      Gamma RP(P), Log-Normal    FALSE #> 5076   318 1.0257467 0.229465201  fv      Gamma RP(P), Log-Normal    FALSE #> 5092   319 0.7560379 0.164851201  fv      Gamma RP(P), Log-Normal    FALSE #> 5108   320 0.7598209 0.164946075  fv      Gamma RP(P), Log-Normal    FALSE #> 5124   321 1.3366113 0.296232365  fv      Gamma RP(P), Log-Normal    FALSE #> 5140   322 0.6541514 0.142874097  fv      Gamma RP(P), Log-Normal    FALSE #> 5156   323 1.1888806 0.259384609  fv      Gamma RP(P), Log-Normal    FALSE #> 5172   324 0.7895205 0.174817665  fv      Gamma RP(P), Log-Normal    FALSE #> 5188   325 0.9089904 0.195887537  fv      Gamma RP(P), Log-Normal    FALSE #> 5204   326 0.8991867 0.194800348  fv      Gamma RP(P), Log-Normal    FALSE #> 5220   327 0.9354573 0.200972552  fv      Gamma RP(P), Log-Normal    FALSE #> 5236   328 1.4508772 0.321883010  fv      Gamma RP(P), Log-Normal    FALSE #> 5252   329 1.2389575 0.278410321  fv      Gamma RP(P), Log-Normal    FALSE #> 5268   330 0.9497564 0.208683102  fv      Gamma RP(P), Log-Normal    FALSE #> 5284   331 1.1348318 0.243830181  fv      Gamma RP(P), Log-Normal    FALSE #> 5300   332 0.7406454 0.165819274  fv      Gamma RP(P), Log-Normal    FALSE #> 5316   333 0.6882928 0.148784950  fv      Gamma RP(P), Log-Normal    FALSE #> 5332   334 1.3842558 0.296929851  fv      Gamma RP(P), Log-Normal    FALSE #> 5348   335 1.0741546 0.237337608  fv      Gamma RP(P), Log-Normal    FALSE #> 5364   336 0.6223286 0.139826644  fv      Gamma RP(P), Log-Normal    FALSE #> 5380   337 0.8436957 0.186307291  fv      Gamma RP(P), Log-Normal    FALSE #> 5396   338 0.7251021 0.154411004  fv      Gamma RP(P), Log-Normal    FALSE #> 5412   339 1.0911888 0.239706177  fv      Gamma RP(P), Log-Normal    FALSE #> 5428   340 1.1139385 0.259970148  fv      Gamma RP(P), Log-Normal    FALSE #> 5444   341 0.6722575 0.144746633  fv      Gamma RP(P), Log-Normal    FALSE #> 5460   342 0.5335198 0.115837477  fv      Gamma RP(P), Log-Normal    FALSE #> 5476   343 0.7759368 0.168497568  fv      Gamma RP(P), Log-Normal    FALSE #> 5492   344 1.3745439 0.304745479  fv      Gamma RP(P), Log-Normal    FALSE #> 5508   345 1.2019517 0.264238640  fv      Gamma RP(P), Log-Normal    FALSE #> 5524   346 1.0680673 0.228681184  fv      Gamma RP(P), Log-Normal    FALSE #> 5540   347 0.9424073 0.202173546  fv      Gamma RP(P), Log-Normal    FALSE #> 5556   348 1.4206305 0.311160176  fv      Gamma RP(P), Log-Normal    FALSE #> 5572   349 1.1631266 0.253819909  fv      Gamma RP(P), Log-Normal    FALSE #> 5588   350 1.0587565 0.227239061  fv      Gamma RP(P), Log-Normal    FALSE #> 5604   351 1.2314624 0.279628007  fv      Gamma RP(P), Log-Normal    FALSE #> 5620   352 1.1441911 0.257794647  fv      Gamma RP(P), Log-Normal    FALSE #> 5636   353 0.6759264 0.146595798  fv      Gamma RP(P), Log-Normal    FALSE #> 5652   354 0.9403395 0.204457172  fv      Gamma RP(P), Log-Normal    FALSE #> 5668   355 1.1145079 0.239429075  fv      Gamma RP(P), Log-Normal    FALSE #> 5684   356 1.0944187 0.241452823  fv      Gamma RP(P), Log-Normal    FALSE #> 5700   357 0.8472675 0.182834330  fv      Gamma RP(P), Log-Normal    FALSE #> 5716   358 0.8078994 0.171141015  fv      Gamma RP(P), Log-Normal    FALSE #> 5732   359 0.8715760 0.197056186  fv      Gamma RP(P), Log-Normal    FALSE #> 5748   360 0.7305572 0.157575039  fv      Gamma RP(P), Log-Normal    FALSE #> 5764   361 1.3093898 0.295995439  fv      Gamma RP(P), Log-Normal    FALSE #> 5780   362 0.5932042 0.128820637  fv      Gamma RP(P), Log-Normal    FALSE #> 5796   363 0.9537684 0.211563876  fv      Gamma RP(P), Log-Normal    FALSE #> 5812   364 0.6500835 0.143060235  fv      Gamma RP(P), Log-Normal    FALSE #> 5828   365 0.9988684 0.230090658  fv      Gamma RP(P), Log-Normal    FALSE #> 5844   366 1.2002573 0.268259798  fv      Gamma RP(P), Log-Normal    FALSE #> 5860   367 1.1732540 0.253572484  fv      Gamma RP(P), Log-Normal    FALSE #> 5876   368 1.1839640 0.274942607  fv      Gamma RP(P), Log-Normal    FALSE #> 5892   369 0.6725999 0.144571959  fv      Gamma RP(P), Log-Normal    FALSE #> 5908   370 0.6474614 0.141195590  fv      Gamma RP(P), Log-Normal    FALSE #> 5924   371 1.0778251 0.237098302  fv      Gamma RP(P), Log-Normal    FALSE #> 5940   372 0.7840598 0.178284497  fv      Gamma RP(P), Log-Normal    FALSE #> 5956   373 0.9240125 0.200650555  fv      Gamma RP(P), Log-Normal    FALSE #> 5972   374 0.7215876 0.154150935  fv      Gamma RP(P), Log-Normal    FALSE #> 5988   375 0.7472158 0.161834638  fv      Gamma RP(P), Log-Normal    FALSE #> 6004   376 0.7840256 0.168608101  fv      Gamma RP(P), Log-Normal    FALSE #> 6020   377 1.2063017 0.272271466  fv      Gamma RP(P), Log-Normal    FALSE #> 6036   378 1.0759738 0.232885696  fv      Gamma RP(P), Log-Normal    FALSE #> 6052   379 0.7991445 0.171767634  fv      Gamma RP(P), Log-Normal    FALSE #> 6068   380 0.9835843 0.213394452  fv      Gamma RP(P), Log-Normal    FALSE #> 6084   381 0.7117307 0.151443197  fv      Gamma RP(P), Log-Normal    FALSE #> 6100   382 0.9374011 0.204621752  fv      Gamma RP(P), Log-Normal    FALSE #> 6116   383 1.4564452 0.312580654  fv      Gamma RP(P), Log-Normal    FALSE #> 6132   384 1.1166026 0.243039524  fv      Gamma RP(P), Log-Normal    FALSE #> 6148   385 0.6950395 0.150883736  fv      Gamma RP(P), Log-Normal    FALSE #> 6164   386 0.4544464 0.102122826  fv      Gamma RP(P), Log-Normal    FALSE #> 6180   387 0.6941927 0.149352262  fv      Gamma RP(P), Log-Normal    FALSE #> 6196   388 0.8740749 0.189471295  fv      Gamma RP(P), Log-Normal    FALSE #> 6212   389 0.6379024 0.138928630  fv      Gamma RP(P), Log-Normal    FALSE #> 6228   390 0.7579377 0.165386684  fv      Gamma RP(P), Log-Normal    FALSE #> 6244   391 0.6208441 0.135164000  fv      Gamma RP(P), Log-Normal    FALSE #> 6260   392 1.1388947 0.243164287  fv      Gamma RP(P), Log-Normal    FALSE #> 6276   393 0.6777050 0.146669241  fv      Gamma RP(P), Log-Normal    FALSE #> 6292   394 1.2875572 0.285500045  fv      Gamma RP(P), Log-Normal    FALSE #> 6308   395 0.9594942 0.212902410  fv      Gamma RP(P), Log-Normal    FALSE #> 6324   396 0.9535688 0.214993979  fv      Gamma RP(P), Log-Normal    FALSE #> 6340   397 1.1170706 0.239961536  fv      Gamma RP(P), Log-Normal    FALSE #> 6356   398 0.9337227 0.201800746  fv      Gamma RP(P), Log-Normal    FALSE #> 6372   399 0.7611877 0.165402284  fv      Gamma RP(P), Log-Normal    FALSE #> 6388   400 0.8163529 0.177586051  fv      Gamma RP(P), Log-Normal    FALSE #> 6404   401 1.1755879 0.260480234  fv      Gamma RP(P), Log-Normal    FALSE #> 6420   402 0.8926168 0.200255305  fv      Gamma RP(P), Log-Normal    FALSE #> 6436   403 0.8545840 0.183751295  fv      Gamma RP(P), Log-Normal    FALSE #> 6452   404 1.1315518 0.257023968  fv      Gamma RP(P), Log-Normal    FALSE #> 6468   405 0.7711867 0.164072761  fv      Gamma RP(P), Log-Normal    FALSE #> 6484   406 0.7394725 0.158175027  fv      Gamma RP(P), Log-Normal    FALSE #> 6500   407 1.0465095 0.229942406  fv      Gamma RP(P), Log-Normal    FALSE #> 6516   408 0.6300849 0.149381842  fv      Gamma RP(P), Log-Normal    FALSE #> 6532   409 1.2759445 0.275964040  fv      Gamma RP(P), Log-Normal    FALSE #> 6548   410 1.4092819 0.317311958  fv      Gamma RP(P), Log-Normal    FALSE #> 6564   411 1.0991484 0.254405935  fv      Gamma RP(P), Log-Normal    FALSE #> 6580   412 0.8267034 0.177108154  fv      Gamma RP(P), Log-Normal    FALSE #> 6596   413 0.9031192 0.199459030  fv      Gamma RP(P), Log-Normal    FALSE #> 6612   414 0.8929692 0.192911734  fv      Gamma RP(P), Log-Normal    FALSE #> 6628   415 1.1226055 0.241604742  fv      Gamma RP(P), Log-Normal    FALSE #> 6644   416 0.7277533 0.157426254  fv      Gamma RP(P), Log-Normal    FALSE #> 6660   417 0.9685098 0.210134619  fv      Gamma RP(P), Log-Normal    FALSE #> 6676   418 0.9593147 0.209686673  fv      Gamma RP(P), Log-Normal    FALSE #> 6692   419 0.8180942 0.182657405  fv      Gamma RP(P), Log-Normal    FALSE #> 6708   420 1.1163400 0.250241104  fv      Gamma RP(P), Log-Normal    FALSE #> 6724   421 1.0662506 0.230681634  fv      Gamma RP(P), Log-Normal    FALSE #> 6740   422 0.9590765 0.208021402  fv      Gamma RP(P), Log-Normal    FALSE #> 6756   423 1.0631685 0.230888818  fv      Gamma RP(P), Log-Normal    FALSE #> 6772   424 0.9657118 0.217152814  fv      Gamma RP(P), Log-Normal    FALSE #> 6788   425 0.7349995 0.162179797  fv      Gamma RP(P), Log-Normal    FALSE #> 6804   426 1.2825616 0.279074728  fv      Gamma RP(P), Log-Normal    FALSE #> 6820   427 0.5095550 0.112703591  fv      Gamma RP(P), Log-Normal    FALSE #> 6836   428 1.4523732 0.327933855  fv      Gamma RP(P), Log-Normal    FALSE #> 6852   429 0.7978037 0.173408480  fv      Gamma RP(P), Log-Normal    FALSE #> 6868   430 0.6875011 0.147810346  fv      Gamma RP(P), Log-Normal    FALSE #> 6884   431 1.1006941 0.238750756  fv      Gamma RP(P), Log-Normal    FALSE #> 6900   432 0.6748862 0.147308411  fv      Gamma RP(P), Log-Normal    FALSE #> 6916   433 1.1282877 0.250568935  fv      Gamma RP(P), Log-Normal    FALSE #> 6932   434 1.2431724 0.265520208  fv      Gamma RP(P), Log-Normal    FALSE #> 6948   435 0.8078352 0.172249398  fv      Gamma RP(P), Log-Normal    FALSE #> 6964   436 1.2539909 0.282120990  fv      Gamma RP(P), Log-Normal    FALSE #> 6980   437 0.8230815 0.177122345  fv      Gamma RP(P), Log-Normal    FALSE #> 6996   438 0.6367504 0.141576527  fv      Gamma RP(P), Log-Normal    FALSE #> 7012   439 0.9345544 0.208661903  fv      Gamma RP(P), Log-Normal    FALSE #> 7028   440 0.8145396 0.174404632  fv      Gamma RP(P), Log-Normal    FALSE #> 7044   441 0.4963037 0.107331468  fv      Gamma RP(P), Log-Normal    FALSE #> 7060   442 0.9945112 0.210487712  fv      Gamma RP(P), Log-Normal    FALSE #> 7076   443 0.6687881 0.151032821  fv      Gamma RP(P), Log-Normal    FALSE #> 7092   444 0.8057132 0.174622153  fv      Gamma RP(P), Log-Normal    FALSE #> 7108   445 1.2113594 0.278671053  fv      Gamma RP(P), Log-Normal    FALSE #> 7124   446 1.0112616 0.219825528  fv      Gamma RP(P), Log-Normal    FALSE #> 7140   447 0.9580334 0.208122592  fv      Gamma RP(P), Log-Normal    FALSE #> 7156   448 1.0480268 0.231358840  fv      Gamma RP(P), Log-Normal    FALSE #> 7172   449 1.1654833 0.250305711  fv      Gamma RP(P), Log-Normal    FALSE #> 7188   450 0.7747101 0.164631434  fv      Gamma RP(P), Log-Normal    FALSE #> 7204   451 1.0778703 0.233850216  fv      Gamma RP(P), Log-Normal    FALSE #> 7220   452 0.6532856 0.142936025  fv      Gamma RP(P), Log-Normal    FALSE #> 7236   453 1.0354556 0.220201966  fv      Gamma RP(P), Log-Normal    FALSE #> 7252   454 0.8410267 0.188393838  fv      Gamma RP(P), Log-Normal    FALSE #> 7268   455 1.0590126 0.231017540  fv      Gamma RP(P), Log-Normal    FALSE #> 7284   456 1.1002554 0.239040113  fv      Gamma RP(P), Log-Normal    FALSE #> 7300   457 1.1113213 0.242020836  fv      Gamma RP(P), Log-Normal    FALSE #> 7316   458 1.2737451 0.283902711  fv      Gamma RP(P), Log-Normal    FALSE #> 7332   459 0.8741005 0.192529765  fv      Gamma RP(P), Log-Normal    FALSE #> 7348   460 0.8343565 0.185513409  fv      Gamma RP(P), Log-Normal    FALSE #> 7364   461 1.0413598 0.229681208  fv      Gamma RP(P), Log-Normal    FALSE #> 7380   462 1.4058311 0.313874121  fv      Gamma RP(P), Log-Normal    FALSE #> 7396   463 0.7385880 0.157268096  fv      Gamma RP(P), Log-Normal    FALSE #> 7412   464 0.6749140 0.150334899  fv      Gamma RP(P), Log-Normal    FALSE #> 7428   465 0.9372626 0.202416087  fv      Gamma RP(P), Log-Normal    FALSE #> 7444   466 1.0819470 0.240560277  fv      Gamma RP(P), Log-Normal    FALSE #> 7460   467 1.2583393 0.280960356  fv      Gamma RP(P), Log-Normal    FALSE #> 7476   468 0.6603316 0.141287880  fv      Gamma RP(P), Log-Normal    FALSE #> 7492   469 1.0850180 0.243295647  fv      Gamma RP(P), Log-Normal    FALSE #> 7508   470 0.9881027 0.210406927  fv      Gamma RP(P), Log-Normal    FALSE #> 7524   471 0.7454241 0.160990011  fv      Gamma RP(P), Log-Normal    FALSE #> 7540   472 1.1745015 0.256706796  fv      Gamma RP(P), Log-Normal    FALSE #> 7556   473 0.7959574 0.170031541  fv      Gamma RP(P), Log-Normal    FALSE #> 7572   474 0.7918319 0.177803843  fv      Gamma RP(P), Log-Normal    FALSE #> 7588   475 1.6522706 0.375398426  fv      Gamma RP(P), Log-Normal     TRUE #> 7604   476 0.6916373 0.152453433  fv      Gamma RP(P), Log-Normal    FALSE #> 7620   477 1.2375353 0.268085782  fv      Gamma RP(P), Log-Normal    FALSE #> 7636   478 0.9740985 0.216425920  fv      Gamma RP(P), Log-Normal    FALSE #> 7652   479 1.2632676 0.276699164  fv      Gamma RP(P), Log-Normal    FALSE #> 7668   480 1.0387783 0.230531068  fv      Gamma RP(P), Log-Normal    FALSE #> 7684   481 0.9091348 0.201095913  fv      Gamma RP(P), Log-Normal    FALSE #> 7700   482 0.8691584 0.198334797  fv      Gamma RP(P), Log-Normal    FALSE #> 7716   483 0.9225715 0.209461889  fv      Gamma RP(P), Log-Normal    FALSE #> 7732   484 0.9439964 0.201865531  fv      Gamma RP(P), Log-Normal    FALSE #> 7748   485 1.0052738 0.218556409  fv      Gamma RP(P), Log-Normal    FALSE #> 7764   486 0.7260035 0.159970767  fv      Gamma RP(P), Log-Normal    FALSE #> 7780   487 1.1001328 0.238315614  fv      Gamma RP(P), Log-Normal    FALSE #> 7796   488 0.9538392 0.216822184  fv      Gamma RP(P), Log-Normal    FALSE #> 7812   489 1.2501391 0.282675830  fv      Gamma RP(P), Log-Normal    FALSE #> 7828   490 1.6236317 0.352529801  fv      Gamma RP(P), Log-Normal     TRUE #> 7844   491 0.8316296 0.178919604  fv      Gamma RP(P), Log-Normal    FALSE #> 7860   492 1.2586735 0.281277951  fv      Gamma RP(P), Log-Normal    FALSE #> 7876   493 1.1213778 0.258755786  fv      Gamma RP(P), Log-Normal    FALSE #> 7892   494 0.8594317 0.184538921  fv      Gamma RP(P), Log-Normal    FALSE #> 7908   495 0.9649592 0.211567053  fv      Gamma RP(P), Log-Normal    FALSE #> 7924   496 0.6773521 0.150596337  fv      Gamma RP(P), Log-Normal    FALSE #> 7940   497 0.9052519 0.196094400  fv      Gamma RP(P), Log-Normal    FALSE #> 7956   498 0.8116850 0.178283650  fv      Gamma RP(P), Log-Normal    FALSE #> 7972   499 1.1086720 0.241326577  fv      Gamma RP(P), Log-Normal    FALSE #> 7988   500 1.2773651 0.281428323  fv      Gamma RP(P), Log-Normal    FALSE #> 8004   501 0.8676161 0.186252713  fv      Gamma RP(P), Log-Normal    FALSE #> 8020   502 1.0407176 0.226742031  fv      Gamma RP(P), Log-Normal    FALSE #> 8036   503 0.7548621 0.161416065  fv      Gamma RP(P), Log-Normal    FALSE #> 8052   504 1.2077979 0.258824089  fv      Gamma RP(P), Log-Normal    FALSE #> 8068   505 1.4398156 0.321294471  fv      Gamma RP(P), Log-Normal    FALSE #> 8084   506 0.8624584 0.186157457  fv      Gamma RP(P), Log-Normal    FALSE #> 8100   507 0.6802796 0.145481059  fv      Gamma RP(P), Log-Normal    FALSE #> 8116   508 0.8342436 0.181087868  fv      Gamma RP(P), Log-Normal    FALSE #> 8132   509 0.8612357 0.185773025  fv      Gamma RP(P), Log-Normal    FALSE #> 8148   510 1.0875058 0.231453325  fv      Gamma RP(P), Log-Normal    FALSE #> 8164   511 0.9780855 0.214288070  fv      Gamma RP(P), Log-Normal    FALSE #> 8180   512 0.9185424 0.195605141  fv      Gamma RP(P), Log-Normal    FALSE #> 8196   513 0.7742017 0.169231006  fv      Gamma RP(P), Log-Normal    FALSE #> 8212   514 0.9812394 0.218050507  fv      Gamma RP(P), Log-Normal    FALSE #> 8228   515 0.8492711 0.186072576  fv      Gamma RP(P), Log-Normal    FALSE #> 8244   516 1.0440155 0.231448528  fv      Gamma RP(P), Log-Normal    FALSE #> 8260   517 1.1390878 0.249921695  fv      Gamma RP(P), Log-Normal    FALSE #> 8276   518 1.2314535 0.263976453  fv      Gamma RP(P), Log-Normal    FALSE #> 8292   519 0.8741643 0.188132491  fv      Gamma RP(P), Log-Normal    FALSE #> 8308   520 0.7946016 0.172820195  fv      Gamma RP(P), Log-Normal    FALSE #> 8324   521 0.7155341 0.154658107  fv      Gamma RP(P), Log-Normal    FALSE #> 8340   522 0.6586910 0.142144906  fv      Gamma RP(P), Log-Normal    FALSE #> 8356   523 0.9070928 0.201961629  fv      Gamma RP(P), Log-Normal    FALSE #> 8372   524 0.7949849 0.175434365  fv      Gamma RP(P), Log-Normal    FALSE #> 8388   525 1.3355748 0.288021411  fv      Gamma RP(P), Log-Normal    FALSE #> 8404   526 1.1111854 0.243883438  fv      Gamma RP(P), Log-Normal    FALSE #> 8420   527 0.9980110 0.225250690  fv      Gamma RP(P), Log-Normal    FALSE #> 8436   528 0.7536701 0.165035815  fv      Gamma RP(P), Log-Normal    FALSE #> 8452   529 1.2088138 0.264226878  fv      Gamma RP(P), Log-Normal    FALSE #> 8468   530 1.3388039 0.295083388  fv      Gamma RP(P), Log-Normal    FALSE #> 8484   531 1.0765928 0.230423607  fv      Gamma RP(P), Log-Normal    FALSE #> 8500   532 1.1797360 0.260368744  fv      Gamma RP(P), Log-Normal    FALSE #> 8516   533 0.9477534 0.207558206  fv      Gamma RP(P), Log-Normal    FALSE #> 8532   534 1.0563309 0.227002868  fv      Gamma RP(P), Log-Normal    FALSE #> 8548   535 1.4357549 0.313963101  fv      Gamma RP(P), Log-Normal    FALSE #> 8564   536 1.0051141 0.212301508  fv      Gamma RP(P), Log-Normal    FALSE #> 8580   537 0.9940413 0.229846666  fv      Gamma RP(P), Log-Normal    FALSE #> 8596   538 0.7485919 0.163118834  fv      Gamma RP(P), Log-Normal    FALSE #> 8612   539 1.2009352 0.262424788  fv      Gamma RP(P), Log-Normal    FALSE #> 8628   540 1.0656493 0.243252483  fv      Gamma RP(P), Log-Normal    FALSE #> 8644   541 0.7818527 0.171862648  fv      Gamma RP(P), Log-Normal    FALSE #> 8660   542 1.0476007 0.225722387  fv      Gamma RP(P), Log-Normal    FALSE #> 8676   543 1.1371033 0.243339241  fv      Gamma RP(P), Log-Normal    FALSE #> 8692   544 1.0773876 0.231123459  fv      Gamma RP(P), Log-Normal    FALSE #> 8708   545 0.9565211 0.212700204  fv      Gamma RP(P), Log-Normal    FALSE #> 8724   546 0.7647347 0.163566244  fv      Gamma RP(P), Log-Normal    FALSE #> 8740   547 0.8206825 0.176359832  fv      Gamma RP(P), Log-Normal    FALSE #> 8756   548 0.8505963 0.192550911  fv      Gamma RP(P), Log-Normal    FALSE #> 8772   549 1.0358106 0.229635225  fv      Gamma RP(P), Log-Normal    FALSE #> 8788   550 1.3523884 0.318258072  fv      Gamma RP(P), Log-Normal    FALSE #> 8804   551 0.9140688 0.197916220  fv      Gamma RP(P), Log-Normal    FALSE #> 8820   552 0.7505092 0.167863310  fv      Gamma RP(P), Log-Normal    FALSE #> 8836   553 0.7462582 0.163755065  fv      Gamma RP(P), Log-Normal    FALSE #> 8852   554 0.9503633 0.210343956  fv      Gamma RP(P), Log-Normal    FALSE #> 8868   555 0.6745831 0.145777323  fv      Gamma RP(P), Log-Normal    FALSE #> 8884   556 0.6796815 0.149173569  fv      Gamma RP(P), Log-Normal    FALSE #> 8900   557 1.7294668 0.385290497  fv      Gamma RP(P), Log-Normal     TRUE #> 8916   558 1.0353587 0.226097195  fv      Gamma RP(P), Log-Normal    FALSE #> 8932   559 0.8016693 0.181657786  fv      Gamma RP(P), Log-Normal    FALSE #> 8948   560 0.9729378 0.214345554  fv      Gamma RP(P), Log-Normal    FALSE #> 8964   561 1.0321929 0.223653751  fv      Gamma RP(P), Log-Normal    FALSE #> 8980   562 0.5768487 0.127198483  fv      Gamma RP(P), Log-Normal    FALSE #> 8996   563 1.0433632 0.228621090  fv      Gamma RP(P), Log-Normal    FALSE #> 9012   564 1.0641236 0.228678050  fv      Gamma RP(P), Log-Normal    FALSE #> 9028   565 1.1732304 0.270298444  fv      Gamma RP(P), Log-Normal    FALSE #> 9044   566 1.2237949 0.268476490  fv      Gamma RP(P), Log-Normal    FALSE #> 9060   567 0.9843680 0.216254289  fv      Gamma RP(P), Log-Normal    FALSE #> 9076   568 1.0225418 0.226931553  fv      Gamma RP(P), Log-Normal    FALSE #> 9092   569 0.9425398 0.212381043  fv      Gamma RP(P), Log-Normal    FALSE #> 9108   570 0.9305842 0.201175459  fv      Gamma RP(P), Log-Normal    FALSE #> 9124   571 0.9345155 0.201116344  fv      Gamma RP(P), Log-Normal    FALSE #> 9140   572 1.1021244 0.234409464  fv      Gamma RP(P), Log-Normal    FALSE #> 9156   573 0.6234484 0.137000395  fv      Gamma RP(P), Log-Normal    FALSE #> 9172   574 1.1480059 0.255124057  fv      Gamma RP(P), Log-Normal    FALSE #> 9188   575 0.9620612 0.211148150  fv      Gamma RP(P), Log-Normal    FALSE #> 9204   576 1.0678341 0.238868687  fv      Gamma RP(P), Log-Normal    FALSE #> 9220   577 0.9150045 0.204456329  fv      Gamma RP(P), Log-Normal    FALSE #> 9236   578 0.9233870 0.200603592  fv      Gamma RP(P), Log-Normal    FALSE #> 9252   579 0.7994219 0.174027563  fv      Gamma RP(P), Log-Normal    FALSE #> 9268   580 0.8585172 0.187898896  fv      Gamma RP(P), Log-Normal    FALSE #> 9284   581 1.1376346 0.243722038  fv      Gamma RP(P), Log-Normal    FALSE #> 9300   582 0.5331588 0.116180181  fv      Gamma RP(P), Log-Normal    FALSE #> 9316   583 1.2227234 0.266819438  fv      Gamma RP(P), Log-Normal    FALSE #> 9332   584 0.7424917 0.162892931  fv      Gamma RP(P), Log-Normal    FALSE #> 9348   585 1.4718067 0.317670941  fv      Gamma RP(P), Log-Normal    FALSE #> 9364   586 1.3376029 0.285083541  fv      Gamma RP(P), Log-Normal    FALSE #> 9380   587 1.0466999 0.227298927  fv      Gamma RP(P), Log-Normal    FALSE #> 9396   588 1.0628152 0.236226350  fv      Gamma RP(P), Log-Normal    FALSE #> 9412   589 0.7456047 0.162916840  fv      Gamma RP(P), Log-Normal    FALSE #> 9428   590 0.8908216 0.194809140  fv      Gamma RP(P), Log-Normal    FALSE #> 9444   591 0.9844521 0.217603161  fv      Gamma RP(P), Log-Normal    FALSE #> 9460   592 1.2872132 0.280054795  fv      Gamma RP(P), Log-Normal    FALSE #> 9476   593 0.9145775 0.207193045  fv      Gamma RP(P), Log-Normal    FALSE #> 9492   594 0.9446292 0.210280528  fv      Gamma RP(P), Log-Normal    FALSE #> 9508   595 0.8683941 0.185769779  fv      Gamma RP(P), Log-Normal    FALSE #> 9524   596 1.2043136 0.260901489  fv      Gamma RP(P), Log-Normal    FALSE #> 9540   597 1.2713689 0.283428607  fv      Gamma RP(P), Log-Normal    FALSE #> 9556   598 1.0191519 0.221381269  fv      Gamma RP(P), Log-Normal    FALSE #> 9572   599 1.5192954 0.325918384  fv      Gamma RP(P), Log-Normal    FALSE #> 9588   600 1.3131604 0.281586578  fv      Gamma RP(P), Log-Normal    FALSE #> 9604   601 0.9717941 0.212607335  fv      Gamma RP(P), Log-Normal    FALSE #> 9620   602 1.1056106 0.248359854  fv      Gamma RP(P), Log-Normal    FALSE #> 9636   603 0.9020656 0.196090741  fv      Gamma RP(P), Log-Normal    FALSE #> 9652   604 1.2529459 0.293640836  fv      Gamma RP(P), Log-Normal    FALSE #> 9668   605 1.2259883 0.274240763  fv      Gamma RP(P), Log-Normal    FALSE #> 9684   606 1.0511216 0.228404129  fv      Gamma RP(P), Log-Normal    FALSE #> 9700   607 0.8190508 0.180281936  fv      Gamma RP(P), Log-Normal    FALSE #> 9716   608 1.0311424 0.221802458  fv      Gamma RP(P), Log-Normal    FALSE #> 9732   609 1.3455592 0.295910286  fv      Gamma RP(P), Log-Normal    FALSE #> 9748   610 1.1642916 0.254371166  fv      Gamma RP(P), Log-Normal    FALSE #> 9764   611 0.8758176 0.192522572  fv      Gamma RP(P), Log-Normal    FALSE #> 9780   612 1.2516100 0.272167401  fv      Gamma RP(P), Log-Normal    FALSE #> 9796   613 0.9097464 0.194713999  fv      Gamma RP(P), Log-Normal    FALSE #> 9812   614 0.8241780 0.176682356  fv      Gamma RP(P), Log-Normal    FALSE #> 9828   615 0.7807667 0.169402047  fv      Gamma RP(P), Log-Normal    FALSE #> 9844   616 1.3256338 0.290042297  fv      Gamma RP(P), Log-Normal    FALSE #> 9860   617 1.3554468 0.302421137  fv      Gamma RP(P), Log-Normal    FALSE #> 9876   618 0.7059805 0.153032728  fv      Gamma RP(P), Log-Normal    FALSE #> 9892   619 0.7640548 0.164327342  fv      Gamma RP(P), Log-Normal    FALSE #> 9908   620 0.9324604 0.205897957  fv      Gamma RP(P), Log-Normal    FALSE #> 9924   621 1.0897527 0.237414370  fv      Gamma RP(P), Log-Normal    FALSE #> 9940   622 1.6936806 0.371698035  fv      Gamma RP(P), Log-Normal     TRUE #> 9956   623 0.6527658 0.139972359  fv      Gamma RP(P), Log-Normal    FALSE #> 9972   624 0.9466176 0.203085311  fv      Gamma RP(P), Log-Normal    FALSE #> 9988   625 0.9681196 0.214775219  fv      Gamma RP(P), Log-Normal    FALSE #> 10004  626 0.6523744 0.142834891  fv      Gamma RP(P), Log-Normal    FALSE #> 10020  627 0.8021879 0.184418783  fv      Gamma RP(P), Log-Normal    FALSE #> 10036  628 0.9225400 0.197465937  fv      Gamma RP(P), Log-Normal    FALSE #> 10052  629 0.7501559 0.167348318  fv      Gamma RP(P), Log-Normal    FALSE #> 10068  630 1.0706745 0.227798971  fv      Gamma RP(P), Log-Normal    FALSE #> 10084  631 1.2827158 0.297285469  fv      Gamma RP(P), Log-Normal    FALSE #> 10100  632 0.6876342 0.149439809  fv      Gamma RP(P), Log-Normal    FALSE #> 10116  633 0.7028224 0.154619674  fv      Gamma RP(P), Log-Normal    FALSE #> 10132  634 0.7042120 0.153299268  fv      Gamma RP(P), Log-Normal    FALSE #> 10148  635 0.5541380 0.122244773  fv      Gamma RP(P), Log-Normal    FALSE #> 10164  636 0.8544896 0.190728571  fv      Gamma RP(P), Log-Normal    FALSE #> 10180  637 0.9603207 0.207191756  fv      Gamma RP(P), Log-Normal    FALSE #> 10196  638 0.7983102 0.182031114  fv      Gamma RP(P), Log-Normal    FALSE #> 10212  639 0.8838410 0.190983119  fv      Gamma RP(P), Log-Normal    FALSE #> 10228  640 0.6961483 0.152110407  fv      Gamma RP(P), Log-Normal    FALSE #> 10244  641 0.8369696 0.179150999  fv      Gamma RP(P), Log-Normal    FALSE #> 10260  642 0.9306106 0.205637032  fv      Gamma RP(P), Log-Normal    FALSE #> 10276  643 0.8113072 0.177171734  fv      Gamma RP(P), Log-Normal    FALSE #> 10292  644 1.3693170 0.317286312  fv      Gamma RP(P), Log-Normal    FALSE #> 10308  645 0.6575557 0.143623229  fv      Gamma RP(P), Log-Normal    FALSE #> 10324  646 0.7264648 0.160017681  fv      Gamma RP(P), Log-Normal    FALSE #> 10340  647 1.8140427 0.405472844  fv      Gamma RP(P), Log-Normal     TRUE #> 10356  648 0.9039734 0.192803400  fv      Gamma RP(P), Log-Normal    FALSE #> 10372  649 1.1307165 0.245793699  fv      Gamma RP(P), Log-Normal    FALSE #> 10388  650 1.3697853 0.300532613  fv      Gamma RP(P), Log-Normal    FALSE #> 10404  651 1.3913723 0.303438110  fv      Gamma RP(P), Log-Normal    FALSE #> 10420  652 0.9976010 0.218156662  fv      Gamma RP(P), Log-Normal    FALSE #> 10436  653 1.3997037 0.316519464  fv      Gamma RP(P), Log-Normal    FALSE #> 10452  654 0.7512885 0.164131512  fv      Gamma RP(P), Log-Normal    FALSE #> 10468  655 0.8184646 0.175458083  fv      Gamma RP(P), Log-Normal    FALSE #> 10484  656 0.9856965 0.213573425  fv      Gamma RP(P), Log-Normal    FALSE #> 10500  657 0.9542220 0.209937231  fv      Gamma RP(P), Log-Normal    FALSE #> 10516  658 1.0526322 0.230309237  fv      Gamma RP(P), Log-Normal    FALSE #> 10532  659 1.1040578 0.242269392  fv      Gamma RP(P), Log-Normal    FALSE #> 10548  660 1.1274148 0.257234161  fv      Gamma RP(P), Log-Normal    FALSE #> 10564  661 0.8272565 0.181590492  fv      Gamma RP(P), Log-Normal    FALSE #> 10580  662 0.5442579 0.118095785  fv      Gamma RP(P), Log-Normal    FALSE #> 10596  663 0.7790189 0.168677889  fv      Gamma RP(P), Log-Normal    FALSE #> 10612  664 0.9338401 0.199297546  fv      Gamma RP(P), Log-Normal    FALSE #> 10628  665 0.9666500 0.213744208  fv      Gamma RP(P), Log-Normal    FALSE #> 10644  666 0.9744446 0.220001257  fv      Gamma RP(P), Log-Normal    FALSE #> 10660  667 1.1828443 0.261467314  fv      Gamma RP(P), Log-Normal    FALSE #> 10676  668 1.2192520 0.274526839  fv      Gamma RP(P), Log-Normal    FALSE #> 10692  669 0.7113574 0.156924713  fv      Gamma RP(P), Log-Normal    FALSE #> 10708  670 1.1756310 0.262566467  fv      Gamma RP(P), Log-Normal    FALSE #> 10724  671 1.2383003 0.270216646  fv      Gamma RP(P), Log-Normal    FALSE #> 10740  672 0.7815664 0.169986858  fv      Gamma RP(P), Log-Normal    FALSE #> 10756  673 0.8229793 0.176870677  fv      Gamma RP(P), Log-Normal    FALSE #> 10772  674 1.3774475 0.311832718  fv      Gamma RP(P), Log-Normal    FALSE #> 10788  675 0.9621601 0.207902235  fv      Gamma RP(P), Log-Normal    FALSE #> 10804  676 0.6528028 0.150614959  fv      Gamma RP(P), Log-Normal    FALSE #> 10820  677 0.8233554 0.177246238  fv      Gamma RP(P), Log-Normal    FALSE #> 10836  678 1.1489514 0.253442670  fv      Gamma RP(P), Log-Normal    FALSE #> 10852  679 1.4208344 0.311543201  fv      Gamma RP(P), Log-Normal    FALSE #> 10868  680 1.0054416 0.232372166  fv      Gamma RP(P), Log-Normal    FALSE #> 10884  681 0.7391488 0.162759723  fv      Gamma RP(P), Log-Normal    FALSE #> 10900  682 0.9652976 0.207135311  fv      Gamma RP(P), Log-Normal    FALSE #> 10916  683 1.1870484 0.264442808  fv      Gamma RP(P), Log-Normal    FALSE #> 10932  684 1.2401849 0.268198690  fv      Gamma RP(P), Log-Normal    FALSE #> 10948  685 0.8596652 0.187197015  fv      Gamma RP(P), Log-Normal    FALSE #> 10964  686 0.6571789 0.143054753  fv      Gamma RP(P), Log-Normal    FALSE #> 10980  687 1.3996390 0.301433070  fv      Gamma RP(P), Log-Normal    FALSE #> 10996  688 0.9489165 0.205546007  fv      Gamma RP(P), Log-Normal    FALSE #> 11012  689 0.8114256 0.172547414  fv      Gamma RP(P), Log-Normal    FALSE #> 11028  690 1.2437062 0.265491213  fv      Gamma RP(P), Log-Normal    FALSE #> 11044  691 1.0092470 0.219771733  fv      Gamma RP(P), Log-Normal    FALSE #> 11060  692 0.9598097 0.205613691  fv      Gamma RP(P), Log-Normal    FALSE #> 11076  693 1.3113167 0.296323950  fv      Gamma RP(P), Log-Normal    FALSE #> 11092  694 1.0933889 0.242376514  fv      Gamma RP(P), Log-Normal    FALSE #> 11108  695 1.0333338 0.234007271  fv      Gamma RP(P), Log-Normal    FALSE #> 11124  696 1.0102497 0.229737838  fv      Gamma RP(P), Log-Normal    FALSE #> 11140  697 1.0358479 0.225442770  fv      Gamma RP(P), Log-Normal    FALSE #> 11156  698 1.0073535 0.220756703  fv      Gamma RP(P), Log-Normal    FALSE #> 11172  699 0.9466231 0.201809941  fv      Gamma RP(P), Log-Normal    FALSE #> 11188  700 1.6203374 0.346406720  fv      Gamma RP(P), Log-Normal     TRUE #> 11204  701 0.8178477 0.176518370  fv      Gamma RP(P), Log-Normal    FALSE #> 11220  702 0.8281316 0.185009839  fv      Gamma RP(P), Log-Normal    FALSE #> 11236  703 0.7131766 0.156512821  fv      Gamma RP(P), Log-Normal    FALSE #> 11252  704 1.2908383 0.275089666  fv      Gamma RP(P), Log-Normal    FALSE #> 11268  705 1.4435519 0.314942107  fv      Gamma RP(P), Log-Normal    FALSE #> 11284  706 1.0319566 0.223149598  fv      Gamma RP(P), Log-Normal    FALSE #> 11300  707 0.7611768 0.169895358  fv      Gamma RP(P), Log-Normal    FALSE #> 11316  708 1.1576638 0.261635419  fv      Gamma RP(P), Log-Normal    FALSE #> 11332  709 0.9334649 0.200133791  fv      Gamma RP(P), Log-Normal    FALSE #> 11348  710 0.9774021 0.208540201  fv      Gamma RP(P), Log-Normal    FALSE #> 11364  711 0.4418561 0.097246388  fv      Gamma RP(P), Log-Normal    FALSE #> 11380  712 0.9598169 0.208774489  fv      Gamma RP(P), Log-Normal    FALSE #> 11396  713 1.0013023 0.213927288  fv      Gamma RP(P), Log-Normal    FALSE #> 11412  714 1.2931185 0.294648103  fv      Gamma RP(P), Log-Normal    FALSE #> 11428  715 1.3871912 0.304898248  fv      Gamma RP(P), Log-Normal    FALSE #> 11444  716 1.0762644 0.237239678  fv      Gamma RP(P), Log-Normal    FALSE #> 11460  717 0.8472068 0.196043062  fv      Gamma RP(P), Log-Normal    FALSE #> 11476  718 1.0140154 0.225564166  fv      Gamma RP(P), Log-Normal    FALSE #> 11492  719 0.7918815 0.168968345  fv      Gamma RP(P), Log-Normal    FALSE #> 11508  720 0.8275318 0.180171933  fv      Gamma RP(P), Log-Normal    FALSE #> 11524  721 1.0706093 0.233121948  fv      Gamma RP(P), Log-Normal    FALSE #> 11540  722 1.2852624 0.283010838  fv      Gamma RP(P), Log-Normal    FALSE #> 11556  723 1.0671711 0.239730437  fv      Gamma RP(P), Log-Normal    FALSE #> 11572  724 0.7945824 0.172668400  fv      Gamma RP(P), Log-Normal    FALSE #> 11588  725 0.8761793 0.190162437  fv      Gamma RP(P), Log-Normal    FALSE #> 11604  726 0.7683224 0.169454349  fv      Gamma RP(P), Log-Normal    FALSE #> 11620  727 1.1401463 0.252371583  fv      Gamma RP(P), Log-Normal    FALSE #> 11636  728 0.6869455 0.156140309  fv      Gamma RP(P), Log-Normal    FALSE #> 11652  729 1.0045609 0.214384308  fv      Gamma RP(P), Log-Normal    FALSE #> 11668  730 1.3739350 0.314933136  fv      Gamma RP(P), Log-Normal    FALSE #> 11684  731 1.4105734 0.312439279  fv      Gamma RP(P), Log-Normal    FALSE #> 11700  732 1.2408039 0.265123430  fv      Gamma RP(P), Log-Normal    FALSE #> 11716  733 0.7434313 0.162871630  fv      Gamma RP(P), Log-Normal    FALSE #> 11732  734 0.7670277 0.169974871  fv      Gamma RP(P), Log-Normal    FALSE #> 11748  735 1.1391446 0.249095776  fv      Gamma RP(P), Log-Normal    FALSE #> 11764  736 1.0869389 0.241739791  fv      Gamma RP(P), Log-Normal    FALSE #> 11780  737 0.9900843 0.215836490  fv      Gamma RP(P), Log-Normal    FALSE #> 11796  738 0.8400574 0.198380530  fv      Gamma RP(P), Log-Normal    FALSE #> 11812  739 0.9098679 0.198083628  fv      Gamma RP(P), Log-Normal    FALSE #> 11828  740 0.8715673 0.188184780  fv      Gamma RP(P), Log-Normal    FALSE #> 11844  741 1.0522008 0.231884466  fv      Gamma RP(P), Log-Normal    FALSE #> 11860  742 0.7308650 0.157131775  fv      Gamma RP(P), Log-Normal    FALSE #> 11876  743 1.0840980 0.236451512  fv      Gamma RP(P), Log-Normal    FALSE #> 11892  744 1.4346874 0.319759809  fv      Gamma RP(P), Log-Normal    FALSE #> 11908  745 0.8684263 0.196492889  fv      Gamma RP(P), Log-Normal    FALSE #> 11924  746 0.5042351 0.108711465  fv      Gamma RP(P), Log-Normal    FALSE #> 11940  747 0.8521053 0.186267508  fv      Gamma RP(P), Log-Normal    FALSE #> 11956  748 1.0776501 0.229694112  fv      Gamma RP(P), Log-Normal    FALSE #> 11972  749 0.8956342 0.198659923  fv      Gamma RP(P), Log-Normal    FALSE #> 11988  750 0.6991894 0.151825792  fv      Gamma RP(P), Log-Normal    FALSE #> 12004  751 1.1707087 0.250296870  fv      Gamma RP(P), Log-Normal    FALSE #> 12020  752 1.0602200 0.230669899  fv      Gamma RP(P), Log-Normal    FALSE #> 12036  753 0.7372900 0.163529975  fv      Gamma RP(P), Log-Normal    FALSE #> 12052  754 1.0951085 0.238851460  fv      Gamma RP(P), Log-Normal    FALSE #> 12068  755 0.9993447 0.215552225  fv      Gamma RP(P), Log-Normal    FALSE #> 12084  756 1.5740582 0.337943971  fv      Gamma RP(P), Log-Normal    FALSE #> 12100  757 0.7728525 0.169474840  fv      Gamma RP(P), Log-Normal    FALSE #> 12116  758 0.6452476 0.140301410  fv      Gamma RP(P), Log-Normal    FALSE #> 12132  759 0.7901227 0.171488061  fv      Gamma RP(P), Log-Normal    FALSE #> 12148  760 0.7639433 0.164920427  fv      Gamma RP(P), Log-Normal    FALSE #> 12164  761 1.0515490 0.232290105  fv      Gamma RP(P), Log-Normal    FALSE #> 12180  762 0.8354865 0.180633162  fv      Gamma RP(P), Log-Normal    FALSE #> 12196  763 0.7587626 0.164916919  fv      Gamma RP(P), Log-Normal    FALSE #> 12212  764 0.9886533 0.219427415  fv      Gamma RP(P), Log-Normal    FALSE #> 12228  765 0.7802736 0.170307432  fv      Gamma RP(P), Log-Normal    FALSE #> 12244  766 0.6561777 0.142009060  fv      Gamma RP(P), Log-Normal    FALSE #> 12260  767 0.9769743 0.213573667  fv      Gamma RP(P), Log-Normal    FALSE #> 12276  768 1.0293469 0.224440289  fv      Gamma RP(P), Log-Normal    FALSE #> 12292  769 1.0177818 0.217646319  fv      Gamma RP(P), Log-Normal    FALSE #> 12308  770 0.7562416 0.168946252  fv      Gamma RP(P), Log-Normal    FALSE #> 12324  771 0.6463465 0.139187794  fv      Gamma RP(P), Log-Normal    FALSE #> 12340  772 1.1961842 0.271932662  fv      Gamma RP(P), Log-Normal    FALSE #> 12356  773 0.8067420 0.176962096  fv      Gamma RP(P), Log-Normal    FALSE #> 12372  774 0.9520088 0.205128560  fv      Gamma RP(P), Log-Normal    FALSE #> 12388  775 1.4347408 0.319703347  fv      Gamma RP(P), Log-Normal    FALSE #> 12404  776 0.9481417 0.202311942  fv      Gamma RP(P), Log-Normal    FALSE #> 12420  777 0.8016802 0.175031737  fv      Gamma RP(P), Log-Normal    FALSE #> 12436  778 1.1275293 0.249908367  fv      Gamma RP(P), Log-Normal    FALSE #> 12452  779 1.1870282 0.261537316  fv      Gamma RP(P), Log-Normal    FALSE #> 12468  780 1.1268945 0.249877221  fv      Gamma RP(P), Log-Normal    FALSE #> 12484  781 0.8099723 0.181662555  fv      Gamma RP(P), Log-Normal    FALSE #> 12500  782 0.9387734 0.218754552  fv      Gamma RP(P), Log-Normal    FALSE #> 12516  783 0.9578883 0.204613312  fv      Gamma RP(P), Log-Normal    FALSE #> 12532  784 0.8156845 0.174404492  fv      Gamma RP(P), Log-Normal    FALSE #> 12548  785 0.8247289 0.177841946  fv      Gamma RP(P), Log-Normal    FALSE #> 12564  786 1.0226574 0.217558799  fv      Gamma RP(P), Log-Normal    FALSE #> 12580  787 1.2335064 0.284150031  fv      Gamma RP(P), Log-Normal    FALSE #> 12596  788 1.0013196 0.221958849  fv      Gamma RP(P), Log-Normal    FALSE #> 12612  789 1.0288684 0.227267275  fv      Gamma RP(P), Log-Normal    FALSE #> 12628  790 1.3948807 0.318147375  fv      Gamma RP(P), Log-Normal    FALSE #> 12644  791 1.2962548 0.289253927  fv      Gamma RP(P), Log-Normal    FALSE #> 12660  792 1.3337738 0.290805393  fv      Gamma RP(P), Log-Normal    FALSE #> 12676  793 0.8720682 0.188928270  fv      Gamma RP(P), Log-Normal    FALSE #> 12692  794 0.4682845 0.102407124  fv      Gamma RP(P), Log-Normal    FALSE #> 12708  795 0.9519556 0.210182873  fv      Gamma RP(P), Log-Normal    FALSE #> 12724  796 1.0864968 0.238092719  fv      Gamma RP(P), Log-Normal    FALSE #> 12740  797 0.7159644 0.155862128  fv      Gamma RP(P), Log-Normal    FALSE #> 12756  798 0.7497156 0.165610200  fv      Gamma RP(P), Log-Normal    FALSE #> 12772  799 1.4945789 0.345846891  fv      Gamma RP(P), Log-Normal    FALSE #> 12788  800 1.2630625 0.274880885  fv      Gamma RP(P), Log-Normal    FALSE #> 12804  801 0.7800030 0.172871017  fv      Gamma RP(P), Log-Normal    FALSE #> 12820  802 0.8108326 0.174897662  fv      Gamma RP(P), Log-Normal    FALSE #> 12836  803 0.9512588 0.202956493  fv      Gamma RP(P), Log-Normal    FALSE #> 12852  804 1.0362523 0.225794955  fv      Gamma RP(P), Log-Normal    FALSE #> 12868  805 0.9811922 0.212636632  fv      Gamma RP(P), Log-Normal    FALSE #> 12884  806 0.7326683 0.158761559  fv      Gamma RP(P), Log-Normal    FALSE #> 12900  807 1.2740750 0.276544259  fv      Gamma RP(P), Log-Normal    FALSE #> 12916  808 0.9781884 0.222359075  fv      Gamma RP(P), Log-Normal    FALSE #> 12932  809 1.3453651 0.309478390  fv      Gamma RP(P), Log-Normal    FALSE #> 12948  810 0.9232016 0.196664367  fv      Gamma RP(P), Log-Normal    FALSE #> 12964  811 1.3197955 0.283396132  fv      Gamma RP(P), Log-Normal    FALSE #> 12980  812 0.8368495 0.182262628  fv      Gamma RP(P), Log-Normal    FALSE #> 12996  813 1.1692435 0.253391788  fv      Gamma RP(P), Log-Normal    FALSE #> 13012  814 0.9869950 0.215275425  fv      Gamma RP(P), Log-Normal    FALSE #> 13028  815 1.4267797 0.314102008  fv      Gamma RP(P), Log-Normal    FALSE #> 13044  816 0.7096351 0.156897106  fv      Gamma RP(P), Log-Normal    FALSE #> 13060  817 1.2207826 0.279563602  fv      Gamma RP(P), Log-Normal    FALSE #> 13076  818 0.8781833 0.195168438  fv      Gamma RP(P), Log-Normal    FALSE #> 13092  819 1.3528171 0.307115701  fv      Gamma RP(P), Log-Normal    FALSE #> 13108  820 0.8750937 0.190140123  fv      Gamma RP(P), Log-Normal    FALSE #> 13124  821 1.0024784 0.225742050  fv      Gamma RP(P), Log-Normal    FALSE #> 13140  822 0.6059361 0.130452065  fv      Gamma RP(P), Log-Normal    FALSE #> 13156  823 1.0219096 0.227328071  fv      Gamma RP(P), Log-Normal    FALSE #> 13172  824 0.9918559 0.217538890  fv      Gamma RP(P), Log-Normal    FALSE #> 13188  825 0.6366212 0.136266805  fv      Gamma RP(P), Log-Normal    FALSE #> 13204  826 0.9444450 0.201370921  fv      Gamma RP(P), Log-Normal    FALSE #> 13220  827 0.9275230 0.201228122  fv      Gamma RP(P), Log-Normal    FALSE #> 13236  828 1.4648905 0.331911086  fv      Gamma RP(P), Log-Normal    FALSE #> 13252  829 0.7088462 0.152408167  fv      Gamma RP(P), Log-Normal    FALSE #> 13268  830 1.2836749 0.282634446  fv      Gamma RP(P), Log-Normal    FALSE #> 13284  831 0.7178710 0.163143070  fv      Gamma RP(P), Log-Normal    FALSE #> 13300  832 0.8691501 0.185987043  fv      Gamma RP(P), Log-Normal    FALSE #> 13316  833 0.9918025 0.216794384  fv      Gamma RP(P), Log-Normal    FALSE #> 13332  834 0.6561897 0.145029001  fv      Gamma RP(P), Log-Normal    FALSE #> 13348  835 0.9531690 0.206507185  fv      Gamma RP(P), Log-Normal    FALSE #> 13364  836 0.9457929 0.208627065  fv      Gamma RP(P), Log-Normal    FALSE #> 13380  837 0.9604259 0.214827897  fv      Gamma RP(P), Log-Normal    FALSE #> 13396  838 1.2231002 0.262948896  fv      Gamma RP(P), Log-Normal    FALSE #> 13412  839 0.7639873 0.164814888  fv      Gamma RP(P), Log-Normal    FALSE #> 13428  840 1.0584085 0.233394444  fv      Gamma RP(P), Log-Normal    FALSE #> 13444  841 0.9060566 0.191644127  fv      Gamma RP(P), Log-Normal    FALSE #> 13460  842 0.9981854 0.222833868  fv      Gamma RP(P), Log-Normal    FALSE #> 13476  843 1.3271882 0.294385787  fv      Gamma RP(P), Log-Normal    FALSE #> 13492  844 1.0083776 0.222785765  fv      Gamma RP(P), Log-Normal    FALSE #> 13508  845 1.4067028 0.311118514  fv      Gamma RP(P), Log-Normal    FALSE #> 13524  846 0.8457063 0.189664761  fv      Gamma RP(P), Log-Normal    FALSE #> 13540  847 0.8266072 0.185765621  fv      Gamma RP(P), Log-Normal    FALSE #> 13556  848 0.5911078 0.127933794  fv      Gamma RP(P), Log-Normal    FALSE #> 13572  849 0.9435684 0.200827455  fv      Gamma RP(P), Log-Normal    FALSE #> 13588  850 0.8421106 0.180835192  fv      Gamma RP(P), Log-Normal    FALSE #> 13604  851 0.9838631 0.215975837  fv      Gamma RP(P), Log-Normal    FALSE #> 13620  852 0.5626470 0.122791446  fv      Gamma RP(P), Log-Normal    FALSE #> 13636  853 0.9664855 0.207250226  fv      Gamma RP(P), Log-Normal    FALSE #> 13652  854 0.7210802 0.158669568  fv      Gamma RP(P), Log-Normal    FALSE #> 13668  855 1.2549558 0.273909144  fv      Gamma RP(P), Log-Normal    FALSE #> 13684  856 1.0890084 0.235216876  fv      Gamma RP(P), Log-Normal    FALSE #> 13700  857 0.7349918 0.162187111  fv      Gamma RP(P), Log-Normal    FALSE #> 13716  858 0.8738882 0.193200988  fv      Gamma RP(P), Log-Normal    FALSE #> 13732  859 0.8725583 0.195344571  fv      Gamma RP(P), Log-Normal    FALSE #> 13748  860 0.7565733 0.161739089  fv      Gamma RP(P), Log-Normal    FALSE #> 13764  861 1.1321227 0.246524283  fv      Gamma RP(P), Log-Normal    FALSE #> 13780  862 0.8393021 0.180926336  fv      Gamma RP(P), Log-Normal    FALSE #> 13796  863 1.0161557 0.222141368  fv      Gamma RP(P), Log-Normal    FALSE #> 13812  864 0.9572296 0.210418635  fv      Gamma RP(P), Log-Normal    FALSE #> 13828  865 1.0152870 0.222102537  fv      Gamma RP(P), Log-Normal    FALSE #> 13844  866 0.7984746 0.170205293  fv      Gamma RP(P), Log-Normal    FALSE #> 13860  867 0.9096029 0.196759398  fv      Gamma RP(P), Log-Normal    FALSE #> 13876  868 0.9705552 0.210115673  fv      Gamma RP(P), Log-Normal    FALSE #> 13892  869 1.0294965 0.226495818  fv      Gamma RP(P), Log-Normal    FALSE #> 13908  870 0.9585866 0.217548683  fv      Gamma RP(P), Log-Normal    FALSE #> 13924  871 1.2540751 0.273750013  fv      Gamma RP(P), Log-Normal    FALSE #> 13940  872 1.3178539 0.292907644  fv      Gamma RP(P), Log-Normal    FALSE #> 13956  873 1.1780594 0.254082562  fv      Gamma RP(P), Log-Normal    FALSE #> 13972  874 1.5369549 0.349989569  fv      Gamma RP(P), Log-Normal    FALSE #> 13988  875 0.7606339 0.164512020  fv      Gamma RP(P), Log-Normal    FALSE #> 14004  876 0.8818046 0.191259261  fv      Gamma RP(P), Log-Normal    FALSE #> 14020  877 1.0016215 0.217910809  fv      Gamma RP(P), Log-Normal    FALSE #> 14036  878 1.0960247 0.243448439  fv      Gamma RP(P), Log-Normal    FALSE #> 14052  879 0.9010159 0.208415640  fv      Gamma RP(P), Log-Normal    FALSE #> 14068  880 1.4167836 0.309960875  fv      Gamma RP(P), Log-Normal    FALSE #> 14084  881 1.1367712 0.251722155  fv      Gamma RP(P), Log-Normal    FALSE #> 14100  882 1.2721470 0.272715293  fv      Gamma RP(P), Log-Normal    FALSE #> 14116  883 0.7534025 0.164687938  fv      Gamma RP(P), Log-Normal    FALSE #> 14132  884 0.7895471 0.169947985  fv      Gamma RP(P), Log-Normal    FALSE #> 14148  885 0.7598150 0.165598184  fv      Gamma RP(P), Log-Normal    FALSE #> 14164  886 0.7546992 0.165577188  fv      Gamma RP(P), Log-Normal    FALSE #> 14180  887 0.9464325 0.207391951  fv      Gamma RP(P), Log-Normal    FALSE #> 14196  888 1.3249936 0.285528452  fv      Gamma RP(P), Log-Normal    FALSE #> 14212  889 1.0483529 0.223855961  fv      Gamma RP(P), Log-Normal    FALSE #> 14228  890 0.7960197 0.175686722  fv      Gamma RP(P), Log-Normal    FALSE #> 14244  891 0.6057941 0.129842155  fv      Gamma RP(P), Log-Normal    FALSE #> 14260  892 0.9117945 0.197815689  fv      Gamma RP(P), Log-Normal    FALSE #> 14276  893 1.1931191 0.269494148  fv      Gamma RP(P), Log-Normal    FALSE #> 14292  894 0.7163861 0.156284310  fv      Gamma RP(P), Log-Normal    FALSE #> 14308  895 0.8521234 0.181727642  fv      Gamma RP(P), Log-Normal    FALSE #> 14324  896 1.1969657 0.257466332  fv      Gamma RP(P), Log-Normal    FALSE #> 14340  897 0.8738869 0.187008230  fv      Gamma RP(P), Log-Normal    FALSE #> 14356  898 1.1901902 0.254087597  fv      Gamma RP(P), Log-Normal    FALSE #> 14372  899 1.0493014 0.231872092  fv      Gamma RP(P), Log-Normal    FALSE #> 14388  900 1.1641367 0.259296079  fv      Gamma RP(P), Log-Normal    FALSE #> 14404  901 0.7441833 0.162379902  fv      Gamma RP(P), Log-Normal    FALSE #> 14420  902 0.7006841 0.150598713  fv      Gamma RP(P), Log-Normal    FALSE #> 14436  903 0.7852252 0.167720028  fv      Gamma RP(P), Log-Normal    FALSE #> 14452  904 1.5979510 0.368445748  fv      Gamma RP(P), Log-Normal     TRUE #> 14468  905 0.7930490 0.170065240  fv      Gamma RP(P), Log-Normal    FALSE #> 14484  906 1.3977134 0.301200536  fv      Gamma RP(P), Log-Normal    FALSE #> 14500  907 1.0303398 0.225804461  fv      Gamma RP(P), Log-Normal    FALSE #> 14516  908 0.8813457 0.201251276  fv      Gamma RP(P), Log-Normal    FALSE #> 14532  909 0.7644669 0.167107442  fv      Gamma RP(P), Log-Normal    FALSE #> 14548  910 0.6744757 0.145971855  fv      Gamma RP(P), Log-Normal    FALSE #> 14564  911 0.9481477 0.214870715  fv      Gamma RP(P), Log-Normal    FALSE #> 14580  912 0.6898847 0.148216456  fv      Gamma RP(P), Log-Normal    FALSE #> 14596  913 0.9740810 0.210880647  fv      Gamma RP(P), Log-Normal    FALSE #> 14612  914 0.8619948 0.192708186  fv      Gamma RP(P), Log-Normal    FALSE #> 14628  915 1.1804584 0.260025660  fv      Gamma RP(P), Log-Normal    FALSE #> 14644  916 0.6691827 0.144375958  fv      Gamma RP(P), Log-Normal    FALSE #> 14660  917 1.0113326 0.222850102  fv      Gamma RP(P), Log-Normal    FALSE #> 14676  918 1.0209571 0.217855650  fv      Gamma RP(P), Log-Normal    FALSE #> 14692  919 0.6796905 0.145360386  fv      Gamma RP(P), Log-Normal    FALSE #> 14708  920 0.9871577 0.211586286  fv      Gamma RP(P), Log-Normal    FALSE #> 14724  921 1.1250715 0.248801866  fv      Gamma RP(P), Log-Normal    FALSE #> 14740  922 1.6097787 0.362204329  fv      Gamma RP(P), Log-Normal     TRUE #> 14756  923 0.9436780 0.203595015  fv      Gamma RP(P), Log-Normal    FALSE #> 14772  924 0.9564219 0.203337756  fv      Gamma RP(P), Log-Normal    FALSE #> 14788  925 1.2119817 0.273392844  fv      Gamma RP(P), Log-Normal    FALSE #> 14804  926 0.9400838 0.200647180  fv      Gamma RP(P), Log-Normal    FALSE #> 14820  927 0.5509122 0.120006203  fv      Gamma RP(P), Log-Normal    FALSE #> 14836  928 0.9335398 0.201024284  fv      Gamma RP(P), Log-Normal    FALSE #> 14852  929 1.0175155 0.223295340  fv      Gamma RP(P), Log-Normal    FALSE #> 14868  930 1.4778512 0.339083118  fv      Gamma RP(P), Log-Normal    FALSE #> 14884  931 0.9049402 0.195294270  fv      Gamma RP(P), Log-Normal    FALSE #> 14900  932 1.2187532 0.262280942  fv      Gamma RP(P), Log-Normal    FALSE #> 14916  933 0.7691144 0.167095118  fv      Gamma RP(P), Log-Normal    FALSE #> 14932  934 0.7255674 0.155278746  fv      Gamma RP(P), Log-Normal    FALSE #> 14948  935 0.5660748 0.122968010  fv      Gamma RP(P), Log-Normal    FALSE #> 14964  936 0.7769992 0.168390284  fv      Gamma RP(P), Log-Normal    FALSE #> 14980  937 1.4918244 0.328500321  fv      Gamma RP(P), Log-Normal    FALSE #> 14996  938 1.0659751 0.233315986  fv      Gamma RP(P), Log-Normal    FALSE #> 15012  939 1.0236145 0.218522667  fv      Gamma RP(P), Log-Normal    FALSE #> 15028  940 1.0295400 0.221691720  fv      Gamma RP(P), Log-Normal    FALSE #> 15044  941 0.8047617 0.173567485  fv      Gamma RP(P), Log-Normal    FALSE #> 15060  942 0.8464834 0.185539126  fv      Gamma RP(P), Log-Normal    FALSE #> 15076  943 0.5599465 0.122123725  fv      Gamma RP(P), Log-Normal    FALSE #> 15092  944 0.7749006 0.165689234  fv      Gamma RP(P), Log-Normal    FALSE #> 15108  945 0.7455152 0.160417654  fv      Gamma RP(P), Log-Normal    FALSE #> 15124  946 1.1738343 0.268801235  fv      Gamma RP(P), Log-Normal    FALSE #> 15140  947 0.8388128 0.185803625  fv      Gamma RP(P), Log-Normal    FALSE #> 15156  948 0.6952556 0.158342180  fv      Gamma RP(P), Log-Normal    FALSE #> 15172  949 0.8177120 0.182041579  fv      Gamma RP(P), Log-Normal    FALSE #> 15188  950 0.7743235 0.171749308  fv      Gamma RP(P), Log-Normal    FALSE #> 15204  951 1.0063523 0.219655118  fv      Gamma RP(P), Log-Normal    FALSE #> 15220  952 0.8235324 0.177580617  fv      Gamma RP(P), Log-Normal    FALSE #> 15236  953 1.6557073 0.364829706  fv      Gamma RP(P), Log-Normal     TRUE #> 15252  954 0.8653755 0.187285027  fv      Gamma RP(P), Log-Normal    FALSE #> 15268  955 1.0301056 0.220205471  fv      Gamma RP(P), Log-Normal    FALSE #> 15284  956 0.7894323 0.172205969  fv      Gamma RP(P), Log-Normal    FALSE #> 15300  957 0.7333930 0.159610119  fv      Gamma RP(P), Log-Normal    FALSE #> 15316  958 0.6756133 0.147379474  fv      Gamma RP(P), Log-Normal    FALSE #> 15332  959 0.8148421 0.177271917  fv      Gamma RP(P), Log-Normal    FALSE #> 15348  960 1.0392486 0.227370460  fv      Gamma RP(P), Log-Normal    FALSE #> 15364  961 0.6272968 0.137352074  fv      Gamma RP(P), Log-Normal    FALSE #> 15380  962 1.2355976 0.269890470  fv      Gamma RP(P), Log-Normal    FALSE #> 15396  963 1.3179458 0.295990708  fv      Gamma RP(P), Log-Normal    FALSE #> 15412  964 0.9410797 0.206058732  fv      Gamma RP(P), Log-Normal    FALSE #> 15428  965 0.7249062 0.156451201  fv      Gamma RP(P), Log-Normal    FALSE #> 15444  966 1.0797601 0.240333361  fv      Gamma RP(P), Log-Normal    FALSE #> 15460  967 0.8711198 0.188877816  fv      Gamma RP(P), Log-Normal    FALSE #> 15476  968 0.7484915 0.163756006  fv      Gamma RP(P), Log-Normal    FALSE #> 15492  969 1.0608001 0.239446947  fv      Gamma RP(P), Log-Normal    FALSE #> 15508  970 1.0392551 0.242127789  fv      Gamma RP(P), Log-Normal    FALSE #> 15524  971 0.8947299 0.198047800  fv      Gamma RP(P), Log-Normal    FALSE #> 15540  972 0.8458660 0.191087294  fv      Gamma RP(P), Log-Normal    FALSE #> 15556  973 1.4370855 0.329114189  fv      Gamma RP(P), Log-Normal    FALSE #> 15572  974 0.6426835 0.141462608  fv      Gamma RP(P), Log-Normal    FALSE #> 15588  975 0.5829796 0.126731490  fv      Gamma RP(P), Log-Normal    FALSE #> 15604  976 0.9819053 0.214952765  fv      Gamma RP(P), Log-Normal    FALSE #> 15620  977 1.2025767 0.259993700  fv      Gamma RP(P), Log-Normal    FALSE #> 15636  978 1.1207741 0.253448839  fv      Gamma RP(P), Log-Normal    FALSE #> 15652  979 1.2212617 0.277004405  fv      Gamma RP(P), Log-Normal    FALSE #> 15668  980 0.6660679 0.144904550  fv      Gamma RP(P), Log-Normal    FALSE #> 15684  981 0.9800822 0.220568363  fv      Gamma RP(P), Log-Normal    FALSE #> 15700  982 1.2715142 0.278377255  fv      Gamma RP(P), Log-Normal    FALSE #> 15716  983 0.6362243 0.139600397  fv      Gamma RP(P), Log-Normal    FALSE #> 15732  984 0.9930194 0.216807089  fv      Gamma RP(P), Log-Normal    FALSE #> 15748  985 1.1721930 0.263401263  fv      Gamma RP(P), Log-Normal    FALSE #> 15764  986 0.8120336 0.173385919  fv      Gamma RP(P), Log-Normal    FALSE #> 15780  987 0.6828491 0.148950787  fv      Gamma RP(P), Log-Normal    FALSE #> 15796  988 0.8144041 0.176435041  fv      Gamma RP(P), Log-Normal    FALSE #> 15812  989 1.1247055 0.243500492  fv      Gamma RP(P), Log-Normal    FALSE #> 15828  990 0.8947567 0.191212448  fv      Gamma RP(P), Log-Normal    FALSE #> 15844  991 1.0661028 0.236299935  fv      Gamma RP(P), Log-Normal    FALSE #> 15860  992 1.1284313 0.252598990  fv      Gamma RP(P), Log-Normal    FALSE #> 15876  993 1.4178796 0.311252553  fv      Gamma RP(P), Log-Normal    FALSE #> 15892  994 0.9354356 0.205470856  fv      Gamma RP(P), Log-Normal    FALSE #> 15908  995 0.9748574 0.210421807  fv      Gamma RP(P), Log-Normal    FALSE #> 15924  996 0.8126153 0.174760175  fv      Gamma RP(P), Log-Normal    FALSE #> 15940  997 0.7325642 0.165565100  fv      Gamma RP(P), Log-Normal    FALSE #> 15956  998 0.8758146 0.191746972  fv      Gamma RP(P), Log-Normal    FALSE #> 15972  999 0.6360544 0.137587237  fv      Gamma RP(P), Log-Normal    FALSE #> 15988 1000 0.6592714 0.146375303  fv      Gamma RP(P), Log-Normal    FALSE #> 5        1 0.6394722 0.122380809  fv Log-Normal        Cox, Gamma    FALSE #> 21       2 0.6045856          NA  fv Log-Normal        Cox, Gamma       NA #> 37       3 0.8010657 0.151976580  fv Log-Normal        Cox, Gamma    FALSE #> 53       4 0.5251708 0.102995382  fv Log-Normal        Cox, Gamma    FALSE #> 69       5 0.7983593 0.148846197  fv Log-Normal        Cox, Gamma    FALSE #> 85       6 0.6885611 0.130409358  fv Log-Normal        Cox, Gamma    FALSE #> 101      7 0.5151179 0.100941935  fv Log-Normal        Cox, Gamma    FALSE #> 117      8 0.7621628 0.144318000  fv Log-Normal        Cox, Gamma    FALSE #> 133      9 0.6643665 0.127376922  fv Log-Normal        Cox, Gamma    FALSE #> 149     10 0.8283729 0.155318927  fv Log-Normal        Cox, Gamma    FALSE #> 165     11 0.7869555 0.147558877  fv Log-Normal        Cox, Gamma    FALSE #> 181     12 0.5133479 0.101148388  fv Log-Normal        Cox, Gamma    FALSE #> 197     13 0.7532925 0.143254004  fv Log-Normal        Cox, Gamma    FALSE #> 213     14 0.6319419 0.120525268  fv Log-Normal        Cox, Gamma    FALSE #> 229     15 0.6431606          NA  fv Log-Normal        Cox, Gamma       NA #> 245     16 0.5317893 0.104988331  fv Log-Normal        Cox, Gamma    FALSE #> 261     17 0.6485239          NA  fv Log-Normal        Cox, Gamma       NA #> 277     18 0.6937009 0.131641157  fv Log-Normal        Cox, Gamma    FALSE #> 293     19 0.7893061 0.147649710  fv Log-Normal        Cox, Gamma    FALSE #> 309     20 0.5473277 0.107505962  fv Log-Normal        Cox, Gamma    FALSE #> 325     21 0.6159281 0.119712689  fv Log-Normal        Cox, Gamma    FALSE #> 341     22 0.5034632 0.098706022  fv Log-Normal        Cox, Gamma    FALSE #> 357     23 0.8872145 0.167318484  fv Log-Normal        Cox, Gamma    FALSE #> 373     24 0.6747845 0.128587018  fv Log-Normal        Cox, Gamma    FALSE #> 389     25 0.5306071 0.103635336  fv Log-Normal        Cox, Gamma    FALSE #> 405     26 0.6424292 0.123098114  fv Log-Normal        Cox, Gamma    FALSE #> 421     27 0.4616309 0.092627917  fv Log-Normal        Cox, Gamma    FALSE #> 437     28 0.6455285 0.124584641  fv Log-Normal        Cox, Gamma    FALSE #> 453     29 0.9355245 0.171887190  fv Log-Normal        Cox, Gamma    FALSE #> 469     30 0.5683618          NA  fv Log-Normal        Cox, Gamma       NA #> 485     31 0.5122115 0.101457499  fv Log-Normal        Cox, Gamma    FALSE #> 501     32 0.5137421 0.101410278  fv Log-Normal        Cox, Gamma    FALSE #> 517     33 0.6617973 0.126758113  fv Log-Normal        Cox, Gamma    FALSE #> 533     34 0.8792537 0.165007321  fv Log-Normal        Cox, Gamma    FALSE #> 549     35 0.5056708 0.102050813  fv Log-Normal        Cox, Gamma    FALSE #> 565     36 0.4631456 0.092364702  fv Log-Normal        Cox, Gamma    FALSE #> 581     37 0.6402471 0.123639086  fv Log-Normal        Cox, Gamma    FALSE #> 597     38 0.6072469 0.118505183  fv Log-Normal        Cox, Gamma    FALSE #> 613     39 0.7170843 0.136908818  fv Log-Normal        Cox, Gamma    FALSE #> 629     40 0.5771348 0.115752065  fv Log-Normal        Cox, Gamma    FALSE #> 645     41 0.6529139 0.124393480  fv Log-Normal        Cox, Gamma    FALSE #> 661     42 0.5148011 0.101711999  fv Log-Normal        Cox, Gamma    FALSE #> 677     43 0.4666952 0.004937570  fv Log-Normal        Cox, Gamma     TRUE #> 693     44 0.6189380 0.118445497  fv Log-Normal        Cox, Gamma    FALSE #> 709     45 0.5376220 0.104802034  fv Log-Normal        Cox, Gamma    FALSE #> 725     46 0.3144607 0.065053567  fv Log-Normal        Cox, Gamma    FALSE #> 741     47 0.7584395 0.142672550  fv Log-Normal        Cox, Gamma    FALSE #> 757     48 0.8275518 0.156556744  fv Log-Normal        Cox, Gamma    FALSE #> 773     49 0.8489886 0.158293529  fv Log-Normal        Cox, Gamma    FALSE #> 789     50 0.5482973 0.107386748  fv Log-Normal        Cox, Gamma    FALSE #> 805     51 0.6839991 0.129492956  fv Log-Normal        Cox, Gamma    FALSE #> 821     52 0.4843987 0.096408435  fv Log-Normal        Cox, Gamma    FALSE #> 837     53 0.8510057 0.158864620  fv Log-Normal        Cox, Gamma    FALSE #> 853     54 0.6256909 0.120555710  fv Log-Normal        Cox, Gamma    FALSE #> 869     55 0.8346268 0.156087294  fv Log-Normal        Cox, Gamma    FALSE #> 885     56 0.7882049 0.150416666  fv Log-Normal        Cox, Gamma    FALSE #> 901     57 0.8201443 0.154000281  fv Log-Normal        Cox, Gamma    FALSE #> 917     58 0.7040050 0.135316400  fv Log-Normal        Cox, Gamma    FALSE #> 933     59 0.6359651 0.121923449  fv Log-Normal        Cox, Gamma    FALSE #> 949     60 0.8198970 0.153870480  fv Log-Normal        Cox, Gamma    FALSE #> 965     61 0.7175756 0.137152304  fv Log-Normal        Cox, Gamma    FALSE #> 981     62 0.6076507 0.118508879  fv Log-Normal        Cox, Gamma    FALSE #> 997     63 0.7819970 0.147791047  fv Log-Normal        Cox, Gamma    FALSE #> 1013    64 0.6957054 0.132639426  fv Log-Normal        Cox, Gamma    FALSE #> 1029    65 0.9526125 0.009775405  fv Log-Normal        Cox, Gamma     TRUE #> 1045    66 0.5441474 0.106172085  fv Log-Normal        Cox, Gamma    FALSE #> 1061    67 0.5523208 0.108353716  fv Log-Normal        Cox, Gamma    FALSE #> 1077    68 0.4929681 0.098414398  fv Log-Normal        Cox, Gamma    FALSE #> 1093    69 0.7299153 0.138530230  fv Log-Normal        Cox, Gamma    FALSE #> 1109    70 0.6423527 0.122802482  fv Log-Normal        Cox, Gamma    FALSE #> 1125    71 0.8632862 0.161486059  fv Log-Normal        Cox, Gamma    FALSE #> 1141    72 0.5591545 0.109417396  fv Log-Normal        Cox, Gamma    FALSE #> 1157    73 0.6075278 0.117438980  fv Log-Normal        Cox, Gamma    FALSE #> 1173    74 0.4193468 0.085150618  fv Log-Normal        Cox, Gamma    FALSE #> 1189    75 0.6458334 0.123807889  fv Log-Normal        Cox, Gamma    FALSE #> 1205    76 0.5319590 0.103524013  fv Log-Normal        Cox, Gamma    FALSE #> 1221    77 0.8210381 0.156007454  fv Log-Normal        Cox, Gamma    FALSE #> 1237    78 0.7326486 0.139950963  fv Log-Normal        Cox, Gamma    FALSE #> 1253    79 0.9943199 0.182305762  fv Log-Normal        Cox, Gamma     TRUE #> 1269    80 0.5401692 0.105772312  fv Log-Normal        Cox, Gamma    FALSE #> 1285    81 0.8195515 0.152333242  fv Log-Normal        Cox, Gamma    FALSE #> 1301    82 0.5996208 0.115639258  fv Log-Normal        Cox, Gamma    FALSE #> 1317    83 0.6878985 0.131159675  fv Log-Normal        Cox, Gamma    FALSE #> 1333    84 0.5677818 0.110729113  fv Log-Normal        Cox, Gamma    FALSE #> 1349    85 0.6777671 0.132744504  fv Log-Normal        Cox, Gamma    FALSE #> 1365    86 0.5697309 0.113283344  fv Log-Normal        Cox, Gamma    FALSE #> 1381    87 0.6515879 0.125557308  fv Log-Normal        Cox, Gamma    FALSE #> 1397    88 0.6589741 0.126940719  fv Log-Normal        Cox, Gamma    FALSE #> 1413    89 0.9088941 0.169266584  fv Log-Normal        Cox, Gamma    FALSE #> 1429    90 0.7931475 0.150240420  fv Log-Normal        Cox, Gamma    FALSE #> 1445    91 0.7963163 0.149402965  fv Log-Normal        Cox, Gamma    FALSE #> 1461    92 0.7857943 0.149847987  fv Log-Normal        Cox, Gamma    FALSE #> 1477    93 0.5504720 0.107382694  fv Log-Normal        Cox, Gamma    FALSE #> 1493    94 0.6884429 0.131346884  fv Log-Normal        Cox, Gamma    FALSE #> 1509    95 0.6380857 0.123419439  fv Log-Normal        Cox, Gamma    FALSE #> 1525    96 0.5041330 0.099649898  fv Log-Normal        Cox, Gamma    FALSE #> 1541    97 0.7322696 0.139902706  fv Log-Normal        Cox, Gamma    FALSE #> 1557    98 0.4127046 0.082919455  fv Log-Normal        Cox, Gamma    FALSE #> 1573    99 0.6763370 0.128560573  fv Log-Normal        Cox, Gamma    FALSE #> 1589   100 0.5878556 0.114387018  fv Log-Normal        Cox, Gamma    FALSE #> 1605   101 0.5514084 0.106995494  fv Log-Normal        Cox, Gamma    FALSE #> 1621   102 0.4762293 0.094742579  fv Log-Normal        Cox, Gamma    FALSE #> 1637   103 0.7020256 0.133873178  fv Log-Normal        Cox, Gamma    FALSE #> 1653   104 0.7099326 0.137457024  fv Log-Normal        Cox, Gamma    FALSE #> 1669   105 0.5077478 0.103091644  fv Log-Normal        Cox, Gamma    FALSE #> 1685   106 0.5839560          NA  fv Log-Normal        Cox, Gamma       NA #> 1701   107 0.6986634 0.132088893  fv Log-Normal        Cox, Gamma    FALSE #> 1717   108 0.6167183 0.119245954  fv Log-Normal        Cox, Gamma    FALSE #> 1733   109 0.8992052 0.168845162  fv Log-Normal        Cox, Gamma    FALSE #> 1749   110 0.7958962 0.150043027  fv Log-Normal        Cox, Gamma    FALSE #> 1765   111 0.6292353 0.123510171  fv Log-Normal        Cox, Gamma    FALSE #> 1781   112 0.6629978 0.127077109  fv Log-Normal        Cox, Gamma    FALSE #> 1797   113 0.7261570 0.136779956  fv Log-Normal        Cox, Gamma    FALSE #> 1813   114 0.6276345 0.122291276  fv Log-Normal        Cox, Gamma    FALSE #> 1829   115 0.6639073 0.126950626  fv Log-Normal        Cox, Gamma    FALSE #> 1845   116 0.6771155 0.129017151  fv Log-Normal        Cox, Gamma    FALSE #> 1861   117 0.7574856 0.142852173  fv Log-Normal        Cox, Gamma    FALSE #> 1877   118 0.5400931 0.105299387  fv Log-Normal        Cox, Gamma    FALSE #> 1893   119 0.5348068 0.104913423  fv Log-Normal        Cox, Gamma    FALSE #> 1909   120 0.7474894 0.142057002  fv Log-Normal        Cox, Gamma    FALSE #> 1925   121 0.6748811 0.129647969  fv Log-Normal        Cox, Gamma    FALSE #> 1941   122 0.5375076 0.108052856  fv Log-Normal        Cox, Gamma    FALSE #> 1957   123 0.4856003 0.096121275  fv Log-Normal        Cox, Gamma    FALSE #> 1973   124 0.5246200 0.103885319  fv Log-Normal        Cox, Gamma    FALSE #> 1989   125 0.4720605          NA  fv Log-Normal        Cox, Gamma       NA #> 2005   126 0.9482783 0.174156199  fv Log-Normal        Cox, Gamma    FALSE #> 2021   127 0.4306473 0.085975068  fv Log-Normal        Cox, Gamma    FALSE #> 2037   128 0.4410806 0.087616373  fv Log-Normal        Cox, Gamma    FALSE #> 2053   129 0.5998340 0.116337857  fv Log-Normal        Cox, Gamma    FALSE #> 2069   130 0.5329207 0.106038502  fv Log-Normal        Cox, Gamma    FALSE #> 2085   131 0.5852483 0.113419735  fv Log-Normal        Cox, Gamma    FALSE #> 2101   132 0.6742929 0.128681326  fv Log-Normal        Cox, Gamma    FALSE #> 2117   133 0.8438814 0.157495241  fv Log-Normal        Cox, Gamma    FALSE #> 2133   134 0.8725599 0.161209909  fv Log-Normal        Cox, Gamma    FALSE #> 2149   135 0.6599414 0.127969864  fv Log-Normal        Cox, Gamma    FALSE #> 2165   136 0.5626806 0.112982953  fv Log-Normal        Cox, Gamma    FALSE #> 2181   137 0.4613542 0.092148877  fv Log-Normal        Cox, Gamma    FALSE #> 2197   138 0.4897440 0.096970193  fv Log-Normal        Cox, Gamma    FALSE #> 2213   139 0.6186832 0.118880800  fv Log-Normal        Cox, Gamma    FALSE #> 2229   140 0.6882313 0.130677278  fv Log-Normal        Cox, Gamma    FALSE #> 2245   141 0.4057784 0.082456100  fv Log-Normal        Cox, Gamma    FALSE #> 2261   142 0.4533127 0.090505938  fv Log-Normal        Cox, Gamma    FALSE #> 2277   143 0.5205757 0.101899405  fv Log-Normal        Cox, Gamma    FALSE #> 2293   144 0.6642470 0.129879650  fv Log-Normal        Cox, Gamma    FALSE #> 2309   145 0.4846138 0.095680840  fv Log-Normal        Cox, Gamma    FALSE #> 2325   146 0.6727758 0.128705520  fv Log-Normal        Cox, Gamma    FALSE #> 2341   147 0.6505837 0.128350311  fv Log-Normal        Cox, Gamma    FALSE #> 2357   148 0.5095640 0.100748115  fv Log-Normal        Cox, Gamma    FALSE #> 2373   149 0.3838389 0.078579334  fv Log-Normal        Cox, Gamma    FALSE #> 2389   150 0.5015661 0.098921642  fv Log-Normal        Cox, Gamma    FALSE #> 2405   151 0.8316167 0.156175999  fv Log-Normal        Cox, Gamma    FALSE #> 2421   152 0.6107663 0.117805851  fv Log-Normal        Cox, Gamma    FALSE #> 2437   153 0.7774550 0.147567258  fv Log-Normal        Cox, Gamma    FALSE #> 2453   154 0.6456305 0.123420490  fv Log-Normal        Cox, Gamma    FALSE #> 2469   155 0.9161229 0.170688228  fv Log-Normal        Cox, Gamma    FALSE #> 2485   156 0.5364627 0.104848903  fv Log-Normal        Cox, Gamma    FALSE #> 2501   157 0.5613152 0.109806565  fv Log-Normal        Cox, Gamma    FALSE #> 2517   158 0.6129741          NA  fv Log-Normal        Cox, Gamma       NA #> 2533   159 0.6589814 0.126591843  fv Log-Normal        Cox, Gamma    FALSE #> 2549   160 0.6071451 0.116592113  fv Log-Normal        Cox, Gamma    FALSE #> 2565   161 0.8464096 0.158851699  fv Log-Normal        Cox, Gamma    FALSE #> 2581   162 0.8600343 0.160292687  fv Log-Normal        Cox, Gamma    FALSE #> 2597   163 0.5244066 0.102558542  fv Log-Normal        Cox, Gamma    FALSE #> 2613   164 0.6350957 0.122832752  fv Log-Normal        Cox, Gamma    FALSE #> 2629   165 0.4845964 0.095537265  fv Log-Normal        Cox, Gamma    FALSE #> 2645   166 0.4272914 0.086071366  fv Log-Normal        Cox, Gamma    FALSE #> 2661   167 0.6479949 0.124144693  fv Log-Normal        Cox, Gamma    FALSE #> 2677   168 0.7462762 0.140607751  fv Log-Normal        Cox, Gamma    FALSE #> 2693   169 0.6323112 0.122436745  fv Log-Normal        Cox, Gamma    FALSE #> 2709   170 0.6601451 0.125902988  fv Log-Normal        Cox, Gamma    FALSE #> 2725   171 0.7032168 0.133018961  fv Log-Normal        Cox, Gamma    FALSE #> 2741   172 0.6390154 0.122082524  fv Log-Normal        Cox, Gamma    FALSE #> 2757   173 0.7009973 0.134209465  fv Log-Normal        Cox, Gamma    FALSE #> 2773   174 0.5290113 0.103348766  fv Log-Normal        Cox, Gamma    FALSE #> 2789   175 0.7105678 0.135604428  fv Log-Normal        Cox, Gamma    FALSE #> 2805   176 0.8662738 0.161421953  fv Log-Normal        Cox, Gamma    FALSE #> 2821   177 0.6637685 0.126258249  fv Log-Normal        Cox, Gamma    FALSE #> 2837   178 0.4790982 0.094932397  fv Log-Normal        Cox, Gamma    FALSE #> 2853   179 0.7824449 0.146344350  fv Log-Normal        Cox, Gamma    FALSE #> 2869   180 0.4960902 0.097942874  fv Log-Normal        Cox, Gamma    FALSE #> 2885   181 0.6319581          NA  fv Log-Normal        Cox, Gamma       NA #> 2901   182 1.0215608 0.186181702  fv Log-Normal        Cox, Gamma     TRUE #> 2917   183 0.6556942 0.127650618  fv Log-Normal        Cox, Gamma    FALSE #> 2933   184 0.8197292 0.152798041  fv Log-Normal        Cox, Gamma    FALSE #> 2949   185 0.7209598 0.136991783  fv Log-Normal        Cox, Gamma    FALSE #> 2965   186 0.6961555 0.132783636  fv Log-Normal        Cox, Gamma    FALSE #> 2981   187 0.6427010 0.124017514  fv Log-Normal        Cox, Gamma    FALSE #> 2997   188 0.8413523 0.159781367  fv Log-Normal        Cox, Gamma    FALSE #> 3013   189 0.6291343 0.120949937  fv Log-Normal        Cox, Gamma    FALSE #> 3029   190 0.6312602 0.120553681  fv Log-Normal        Cox, Gamma    FALSE #> 3045   191 0.6229767 0.120163049  fv Log-Normal        Cox, Gamma    FALSE #> 3061   192 0.6625294 0.128824188  fv Log-Normal        Cox, Gamma    FALSE #> 3077   193 0.6095303 0.117152349  fv Log-Normal        Cox, Gamma    FALSE #> 3093   194 0.8906886 0.165363633  fv Log-Normal        Cox, Gamma    FALSE #> 3109   195 0.5763599 0.113600171  fv Log-Normal        Cox, Gamma    FALSE #> 3125   196 0.5388661 0.105243328  fv Log-Normal        Cox, Gamma    FALSE #> 3141   197 0.6062427 0.117145578  fv Log-Normal        Cox, Gamma    FALSE #> 3157   198 0.6999424 0.133524072  fv Log-Normal        Cox, Gamma    FALSE #> 3173   199 0.4751412 0.094093909  fv Log-Normal        Cox, Gamma    FALSE #> 3189   200 0.5362176 0.105172510  fv Log-Normal        Cox, Gamma    FALSE #> 3205   201 0.7915355 0.148896926  fv Log-Normal        Cox, Gamma    FALSE #> 3221   202 0.6256725 0.120094411  fv Log-Normal        Cox, Gamma    FALSE #> 3237   203 0.5558678 0.108296694  fv Log-Normal        Cox, Gamma    FALSE #> 3253   204 0.5876585 0.113892273  fv Log-Normal        Cox, Gamma    FALSE #> 3269   205 0.5468949 0.106525018  fv Log-Normal        Cox, Gamma    FALSE #> 3285   206 0.6698007 0.128281193  fv Log-Normal        Cox, Gamma    FALSE #> 3301   207 0.8537181 0.163478068  fv Log-Normal        Cox, Gamma    FALSE #> 3317   208 0.8151591 0.151573969  fv Log-Normal        Cox, Gamma    FALSE #> 3333   209 0.5738887 0.112038746  fv Log-Normal        Cox, Gamma    FALSE #> 3349   210 0.5948765 0.115005913  fv Log-Normal        Cox, Gamma    FALSE #> 3365   211 0.7051577 0.134016025  fv Log-Normal        Cox, Gamma    FALSE #> 3381   212 0.6688139 0.127473682  fv Log-Normal        Cox, Gamma    FALSE #> 3397   213 0.5682107 0.111343598  fv Log-Normal        Cox, Gamma    FALSE #> 3413   214 0.5596977 0.108622186  fv Log-Normal        Cox, Gamma    FALSE #> 3429   215 0.6736498 0.131769952  fv Log-Normal        Cox, Gamma    FALSE #> 3445   216 0.8402526 0.156811031  fv Log-Normal        Cox, Gamma    FALSE #> 3461   217 0.6569014 0.126067931  fv Log-Normal        Cox, Gamma    FALSE #> 3477   218 0.6265203          NA  fv Log-Normal        Cox, Gamma       NA #> 3493   219 0.8265282 0.156692936  fv Log-Normal        Cox, Gamma    FALSE #> 3509   220 0.7025852 0.132963964  fv Log-Normal        Cox, Gamma    FALSE #> 3525   221 0.5591480 0.109170032  fv Log-Normal        Cox, Gamma    FALSE #> 3541   222 0.3308424 0.068028520  fv Log-Normal        Cox, Gamma    FALSE #> 3557   223 0.4912096 0.096931558  fv Log-Normal        Cox, Gamma    FALSE #> 3573   224 0.4900371 0.096260044  fv Log-Normal        Cox, Gamma    FALSE #> 3589   225 0.7671184 0.144972525  fv Log-Normal        Cox, Gamma    FALSE #> 3605   226 0.8535113 0.158140918  fv Log-Normal        Cox, Gamma    FALSE #> 3621   227 0.6378454 0.121921746  fv Log-Normal        Cox, Gamma    FALSE #> 3637   228 0.7197385 0.135876027  fv Log-Normal        Cox, Gamma    FALSE #> 3653   229 0.3791053 0.077674263  fv Log-Normal        Cox, Gamma    FALSE #> 3669   230 0.5811553 0.113632012  fv Log-Normal        Cox, Gamma    FALSE #> 3685   231 0.5860880 0.113549906  fv Log-Normal        Cox, Gamma    FALSE #> 3701   232 0.8037955 0.151262566  fv Log-Normal        Cox, Gamma    FALSE #> 3717   233 0.8533986 0.160021433  fv Log-Normal        Cox, Gamma    FALSE #> 3733   234 0.8484815 0.159241562  fv Log-Normal        Cox, Gamma    FALSE #> 3749   235 0.4897224 0.096400413  fv Log-Normal        Cox, Gamma    FALSE #> 3765   236 0.5762535 0.112239275  fv Log-Normal        Cox, Gamma    FALSE #> 3781   237 0.5269204 0.103993561  fv Log-Normal        Cox, Gamma    FALSE #> 3797   238 0.7820117 0.148029154  fv Log-Normal        Cox, Gamma    FALSE #> 3813   239 0.8192601 0.155041621  fv Log-Normal        Cox, Gamma    FALSE #> 3829   240 0.5402785 0.105436912  fv Log-Normal        Cox, Gamma    FALSE #> 3845   241 0.6507911 0.125139921  fv Log-Normal        Cox, Gamma    FALSE #> 3861   242 0.4837204 0.095399989  fv Log-Normal        Cox, Gamma    FALSE #> 3877   243 0.6195218 0.119990163  fv Log-Normal        Cox, Gamma    FALSE #> 3893   244 0.5100376 0.100590658  fv Log-Normal        Cox, Gamma    FALSE #> 3909   245 0.4265852 0.085555768  fv Log-Normal        Cox, Gamma    FALSE #> 3925   246 0.7625282 0.147743867  fv Log-Normal        Cox, Gamma    FALSE #> 3941   247 0.6393146 0.124452824  fv Log-Normal        Cox, Gamma    FALSE #> 3957   248 0.8878569 0.164863233  fv Log-Normal        Cox, Gamma    FALSE #> 3973   249 0.5104467 0.100139240  fv Log-Normal        Cox, Gamma    FALSE #> 3989   250 0.7090348 0.135416883  fv Log-Normal        Cox, Gamma    FALSE #> 4005   251 0.5665994 0.110662478  fv Log-Normal        Cox, Gamma    FALSE #> 4021   252 0.4789176 0.096840906  fv Log-Normal        Cox, Gamma    FALSE #> 4037   253 0.7726023 0.145748257  fv Log-Normal        Cox, Gamma    FALSE #> 4053   254 0.6799045 0.131222201  fv Log-Normal        Cox, Gamma    FALSE #> 4069   255 0.8679381 0.163075058  fv Log-Normal        Cox, Gamma    FALSE #> 4085   256 0.7877915 0.149581667  fv Log-Normal        Cox, Gamma    FALSE #> 4101   257 0.7172398 0.135506691  fv Log-Normal        Cox, Gamma    FALSE #> 4117   258 0.4064345 0.082947195  fv Log-Normal        Cox, Gamma    FALSE #> 4133   259 0.5807491 0.112471382  fv Log-Normal        Cox, Gamma    FALSE #> 4149   260 0.5464734 0.106275466  fv Log-Normal        Cox, Gamma    FALSE #> 4165   261 0.7065837 0.133504731  fv Log-Normal        Cox, Gamma    FALSE #> 4181   262 0.5931230 0.114792244  fv Log-Normal        Cox, Gamma    FALSE #> 4197   263 0.7014259 0.133353663  fv Log-Normal        Cox, Gamma    FALSE #> 4213   264 0.7179491 0.137495764  fv Log-Normal        Cox, Gamma    FALSE #> 4229   265 0.5649677 0.109814735  fv Log-Normal        Cox, Gamma    FALSE #> 4245   266 0.5471308 0.106789710  fv Log-Normal        Cox, Gamma    FALSE #> 4261   267 0.5878749 0.115444716  fv Log-Normal        Cox, Gamma    FALSE #> 4277   268 0.8704538 0.161935150  fv Log-Normal        Cox, Gamma    FALSE #> 4293   269 0.5588668 0.109315818  fv Log-Normal        Cox, Gamma    FALSE #> 4309   270 0.5682294 0.110657678  fv Log-Normal        Cox, Gamma    FALSE #> 4325   271 0.7742804 0.148840997  fv Log-Normal        Cox, Gamma    FALSE #> 4341   272 0.5158531 0.101581050  fv Log-Normal        Cox, Gamma    FALSE #> 4357   273 0.6160109          NA  fv Log-Normal        Cox, Gamma       NA #> 4373   274 0.7917479 0.153086307  fv Log-Normal        Cox, Gamma    FALSE #> 4389   275 0.6364515 0.126896193  fv Log-Normal        Cox, Gamma    FALSE #> 4405   276 0.6699600 0.127579619  fv Log-Normal        Cox, Gamma    FALSE #> 4421   277 0.6950828 0.007187089  fv Log-Normal        Cox, Gamma     TRUE #> 4437   278 0.5145957 0.101023595  fv Log-Normal        Cox, Gamma    FALSE #> 4453   279 0.8117977 0.153216708  fv Log-Normal        Cox, Gamma    FALSE #> 4469   280 0.6997337 0.133181330  fv Log-Normal        Cox, Gamma    FALSE #> 4485   281 0.6982049 0.133445042  fv Log-Normal        Cox, Gamma    FALSE #> 4501   282 0.5416213 0.105440717  fv Log-Normal        Cox, Gamma    FALSE #> 4517   283 0.6857669 0.130142790  fv Log-Normal        Cox, Gamma    FALSE #> 4533   284 0.5399607 0.105818606  fv Log-Normal        Cox, Gamma    FALSE #> 4549   285 0.5893622 0.113916611  fv Log-Normal        Cox, Gamma    FALSE #> 4565   286 0.6293867 0.121852607  fv Log-Normal        Cox, Gamma    FALSE #> 4581   287 0.5320429 0.104084556  fv Log-Normal        Cox, Gamma    FALSE #> 4597   288 0.5385214          NA  fv Log-Normal        Cox, Gamma       NA #> 4613   289 0.6079604 0.117589769  fv Log-Normal        Cox, Gamma    FALSE #> 4629   290 0.6198681 0.119709759  fv Log-Normal        Cox, Gamma    FALSE #> 4645   291 0.6348176 0.121448764  fv Log-Normal        Cox, Gamma    FALSE #> 4661   292 0.5566394 0.109253711  fv Log-Normal        Cox, Gamma    FALSE #> 4677   293 0.5642341 0.108813689  fv Log-Normal        Cox, Gamma    FALSE #> 4693   294 0.6430886 0.123339440  fv Log-Normal        Cox, Gamma    FALSE #> 4709   295 0.5805056 0.113140088  fv Log-Normal        Cox, Gamma    FALSE #> 4725   296 0.7567236 0.143584763  fv Log-Normal        Cox, Gamma    FALSE #> 4741   297 0.3855174 0.078215125  fv Log-Normal        Cox, Gamma    FALSE #> 4757   298 0.5794998 0.112104842  fv Log-Normal        Cox, Gamma    FALSE #> 4773   299 0.7028882 0.133589533  fv Log-Normal        Cox, Gamma    FALSE #> 4789   300 0.5797419 0.112542288  fv Log-Normal        Cox, Gamma    FALSE #> 4805   301 0.9211398 0.170258250  fv Log-Normal        Cox, Gamma    FALSE #> 4821   302 0.7451349 0.144010919  fv Log-Normal        Cox, Gamma    FALSE #> 4837   303 0.5897070 0.114105453  fv Log-Normal        Cox, Gamma    FALSE #> 4853   304 0.5902198 0.114066882  fv Log-Normal        Cox, Gamma    FALSE #> 4869   305 0.6998113 0.132962809  fv Log-Normal        Cox, Gamma    FALSE #> 4885   306 0.5558410 0.108825873  fv Log-Normal        Cox, Gamma    FALSE #> 4901   307 0.5096845 0.099400324  fv Log-Normal        Cox, Gamma    FALSE #> 4917   308 0.6120856 0.118043549  fv Log-Normal        Cox, Gamma    FALSE #> 4933   309 0.5238446 0.102522839  fv Log-Normal        Cox, Gamma    FALSE #> 4949   310 0.5755179 0.112344745  fv Log-Normal        Cox, Gamma    FALSE #> 4965   311 0.7940267 0.148985319  fv Log-Normal        Cox, Gamma    FALSE #> 4981   312 0.5853714 0.006099306  fv Log-Normal        Cox, Gamma     TRUE #> 4997   313 0.4366253 0.087746151  fv Log-Normal        Cox, Gamma    FALSE #> 5013   314 0.6141543 0.119168693  fv Log-Normal        Cox, Gamma    FALSE #> 5029   315 0.5634745 0.109117311  fv Log-Normal        Cox, Gamma    FALSE #> 5045   316 0.5563368 0.109703245  fv Log-Normal        Cox, Gamma    FALSE #> 5061   317 0.7188303 0.135419985  fv Log-Normal        Cox, Gamma    FALSE #> 5077   318 0.5950034 0.119644402  fv Log-Normal        Cox, Gamma    FALSE #> 5093   319 0.6531083 0.125747127  fv Log-Normal        Cox, Gamma    FALSE #> 5109   320 0.7196713 0.136030114  fv Log-Normal        Cox, Gamma    FALSE #> 5125   321 0.8308015 0.156780085  fv Log-Normal        Cox, Gamma    FALSE #> 5141   322 0.4956023 0.097888214  fv Log-Normal        Cox, Gamma    FALSE #> 5157   323 0.6546792 0.124835750  fv Log-Normal        Cox, Gamma    FALSE #> 5173   324 0.4840185 0.095889192  fv Log-Normal        Cox, Gamma    FALSE #> 5189   325 0.5702055 0.111852128  fv Log-Normal        Cox, Gamma    FALSE #> 5205   326 0.7875548 0.148425894  fv Log-Normal        Cox, Gamma    FALSE #> 5221   327 0.4456639 0.088551255  fv Log-Normal        Cox, Gamma    FALSE #> 5237   328 0.6199910 0.118511296  fv Log-Normal        Cox, Gamma    FALSE #> 5253   329 0.6070999 0.118226137  fv Log-Normal        Cox, Gamma    FALSE #> 5269   330 0.4693525 0.092970101  fv Log-Normal        Cox, Gamma    FALSE #> 5285   331 0.7782761 0.145952440  fv Log-Normal        Cox, Gamma    FALSE #> 5301   332 0.6147740 0.118149084  fv Log-Normal        Cox, Gamma    FALSE #> 5317   333 0.4880236 0.097261035  fv Log-Normal        Cox, Gamma    FALSE #> 5333   334 0.4884141 0.096379233  fv Log-Normal        Cox, Gamma    FALSE #> 5349   335 0.5032586 0.099171283  fv Log-Normal        Cox, Gamma    FALSE #> 5365   336 0.7805535 0.148128686  fv Log-Normal        Cox, Gamma    FALSE #> 5381   337 0.6032561 0.116743833  fv Log-Normal        Cox, Gamma    FALSE #> 5397   338 0.6551628 0.125118867  fv Log-Normal        Cox, Gamma    FALSE #> 5413   339 0.5169801 0.101821996  fv Log-Normal        Cox, Gamma    FALSE #> 5429   340 0.8196064 0.154398664  fv Log-Normal        Cox, Gamma    FALSE #> 5445   341 0.5937845 0.117321745  fv Log-Normal        Cox, Gamma    FALSE #> 5461   342 0.5195210 0.101714573  fv Log-Normal        Cox, Gamma    FALSE #> 5477   343 0.5449285 0.106821634  fv Log-Normal        Cox, Gamma    FALSE #> 5493   344 0.6178628 0.119729312  fv Log-Normal        Cox, Gamma    FALSE #> 5509   345 0.5748172 0.111195189  fv Log-Normal        Cox, Gamma    FALSE #> 5525   346 0.4467481 0.089775532  fv Log-Normal        Cox, Gamma    FALSE #> 5541   347 0.5922002 0.115336519  fv Log-Normal        Cox, Gamma    FALSE #> 5557   348 0.5431553 0.107023045  fv Log-Normal        Cox, Gamma    FALSE #> 5573   349 0.5963678 0.115282859  fv Log-Normal        Cox, Gamma    FALSE #> 5589   350 0.7126978 0.135785768  fv Log-Normal        Cox, Gamma    FALSE #> 5605   351 0.5000000 0.098314792  fv Log-Normal        Cox, Gamma    FALSE #> 5621   352 0.7598097 0.144565206  fv Log-Normal        Cox, Gamma    FALSE #> 5637   353 0.6849065 0.131859665  fv Log-Normal        Cox, Gamma    FALSE #> 5653   354 0.5847636 0.113209083  fv Log-Normal        Cox, Gamma    FALSE #> 5669   355 0.6647230 0.126982092  fv Log-Normal        Cox, Gamma    FALSE #> 5685   356 0.6167743          NA  fv Log-Normal        Cox, Gamma       NA #> 5701   357 0.9010051 0.172186528  fv Log-Normal        Cox, Gamma    FALSE #> 5717   358 0.6069449 0.117219188  fv Log-Normal        Cox, Gamma    FALSE #> 5733   359 0.4821542 0.096106206  fv Log-Normal        Cox, Gamma    FALSE #> 5749   360 0.5664989 0.109859357  fv Log-Normal        Cox, Gamma    FALSE #> 5765   361 0.5678027 0.110631454  fv Log-Normal        Cox, Gamma    FALSE #> 5781   362 0.6276318          NA  fv Log-Normal        Cox, Gamma       NA #> 5797   363 0.5816629 0.114016656  fv Log-Normal        Cox, Gamma    FALSE #> 5813   364 0.6859902 0.129879220  fv Log-Normal        Cox, Gamma    FALSE #> 5829   365 0.6491866 0.124319049  fv Log-Normal        Cox, Gamma    FALSE #> 5845   366 0.5865690 0.113684228  fv Log-Normal        Cox, Gamma    FALSE #> 5861   367 0.7319157 0.139897352  fv Log-Normal        Cox, Gamma    FALSE #> 5877   368 0.8046332 0.150989946  fv Log-Normal        Cox, Gamma    FALSE #> 5893   369 0.5082926 0.099866024  fv Log-Normal        Cox, Gamma    FALSE #> 5909   370 0.6604881 0.126498901  fv Log-Normal        Cox, Gamma    FALSE #> 5925   371 0.6356362 0.124258194  fv Log-Normal        Cox, Gamma    FALSE #> 5941   372 0.4589990 0.091576188  fv Log-Normal        Cox, Gamma    FALSE #> 5957   373 0.8629317 0.160738289  fv Log-Normal        Cox, Gamma    FALSE #> 5973   374 0.5057169 0.100061515  fv Log-Normal        Cox, Gamma    FALSE #> 5989   375 0.6330062 0.123040876  fv Log-Normal        Cox, Gamma    FALSE #> 6005   376 0.6046560 0.116978108  fv Log-Normal        Cox, Gamma    FALSE #> 6021   377 0.4747655 0.005013608  fv Log-Normal        Cox, Gamma     TRUE #> 6037   378 0.5334781 0.005584094  fv Log-Normal        Cox, Gamma     TRUE #> 6053   379 0.4830196 0.095784689  fv Log-Normal        Cox, Gamma    FALSE #> 6069   380 0.5694002 0.110358969  fv Log-Normal        Cox, Gamma    FALSE #> 6085   381 0.6863816 0.130635692  fv Log-Normal        Cox, Gamma    FALSE #> 6101   382 0.6287443 0.121561327  fv Log-Normal        Cox, Gamma    FALSE #> 6117   383 0.6705983 0.128564833  fv Log-Normal        Cox, Gamma    FALSE #> 6133   384 0.5832236          NA  fv Log-Normal        Cox, Gamma       NA #> 6149   385 0.5054799 0.100036351  fv Log-Normal        Cox, Gamma    FALSE #> 6165   386 0.7721235 0.146738604  fv Log-Normal        Cox, Gamma    FALSE #> 6181   387 0.5792390 0.113921561  fv Log-Normal        Cox, Gamma    FALSE #> 6197   388 0.6998366 0.131999951  fv Log-Normal        Cox, Gamma    FALSE #> 6213   389 0.6587321 0.125619377  fv Log-Normal        Cox, Gamma    FALSE #> 6229   390 0.5746738 0.111840939  fv Log-Normal        Cox, Gamma    FALSE #> 6245   391 0.7150477 0.135480569  fv Log-Normal        Cox, Gamma    FALSE #> 6261   392 0.5580029 0.109198136  fv Log-Normal        Cox, Gamma    FALSE #> 6277   393 0.5189269 0.101936787  fv Log-Normal        Cox, Gamma    FALSE #> 6293   394 0.8337900 0.157631224  fv Log-Normal        Cox, Gamma    FALSE #> 6309   395 0.6557804 0.125496415  fv Log-Normal        Cox, Gamma    FALSE #> 6325   396 0.8542463 0.159311110  fv Log-Normal        Cox, Gamma    FALSE #> 6341   397 0.5753214 0.111380720  fv Log-Normal        Cox, Gamma    FALSE #> 6357   398 0.5763301          NA  fv Log-Normal        Cox, Gamma       NA #> 6373   399 0.7343354 0.139561737  fv Log-Normal        Cox, Gamma    FALSE #> 6389   400 0.4829329 0.095986778  fv Log-Normal        Cox, Gamma    FALSE #> 6405   401 0.5236326 0.102648828  fv Log-Normal        Cox, Gamma    FALSE #> 6421   402 0.4724927 0.094782726  fv Log-Normal        Cox, Gamma    FALSE #> 6437   403 0.4746930 0.093432378  fv Log-Normal        Cox, Gamma    FALSE #> 6453   404 0.5498989 0.108729092  fv Log-Normal        Cox, Gamma    FALSE #> 6469   405 0.4680169 0.093560491  fv Log-Normal        Cox, Gamma    FALSE #> 6485   406 0.5976504 0.115198092  fv Log-Normal        Cox, Gamma    FALSE #> 6501   407 0.7073151 0.135807607  fv Log-Normal        Cox, Gamma    FALSE #> 6517   408 0.4534840 0.092196184  fv Log-Normal        Cox, Gamma    FALSE #> 6533   409 0.5996849 0.115802131  fv Log-Normal        Cox, Gamma    FALSE #> 6549   410 0.7350483 0.141098444  fv Log-Normal        Cox, Gamma    FALSE #> 6565   411 0.5844294 0.114213027  fv Log-Normal        Cox, Gamma    FALSE #> 6581   412 0.6355002 0.123732471  fv Log-Normal        Cox, Gamma    FALSE #> 6597   413 0.4795980 0.095797688  fv Log-Normal        Cox, Gamma    FALSE #> 6613   414 0.8214290 0.154482941  fv Log-Normal        Cox, Gamma    FALSE #> 6629   415 1.0474272 0.190204210  fv Log-Normal        Cox, Gamma     TRUE #> 6645   416 0.5058717 0.100738059  fv Log-Normal        Cox, Gamma    FALSE #> 6661   417 0.5077597 0.099999290  fv Log-Normal        Cox, Gamma    FALSE #> 6677   418 0.7561877 0.141887306  fv Log-Normal        Cox, Gamma    FALSE #> 6693   419 0.4072063 0.081901396  fv Log-Normal        Cox, Gamma    FALSE #> 6709   420 0.6455902 0.124271550  fv Log-Normal        Cox, Gamma    FALSE #> 6725   421 0.7228223 0.137917495  fv Log-Normal        Cox, Gamma    FALSE #> 6741   422 0.5497526 0.108664623  fv Log-Normal        Cox, Gamma    FALSE #> 6757   423 0.5299681 0.103771903  fv Log-Normal        Cox, Gamma    FALSE #> 6773   424 0.5967779 0.115501171  fv Log-Normal        Cox, Gamma    FALSE #> 6789   425 0.7086593 0.136018726  fv Log-Normal        Cox, Gamma    FALSE #> 6805   426 0.7463880 0.141871924  fv Log-Normal        Cox, Gamma    FALSE #> 6821   427 0.9312417 0.173523729  fv Log-Normal        Cox, Gamma    FALSE #> 6837   428 0.7297720 0.139335836  fv Log-Normal        Cox, Gamma    FALSE #> 6853   429 0.6423904 0.123215428  fv Log-Normal        Cox, Gamma    FALSE #> 6869   430 0.7904786 0.149398357  fv Log-Normal        Cox, Gamma    FALSE #> 6885   431 0.5748521 0.111859450  fv Log-Normal        Cox, Gamma    FALSE #> 6901   432 0.7837588 0.147930476  fv Log-Normal        Cox, Gamma    FALSE #> 6917   433 0.5077611 0.099539593  fv Log-Normal        Cox, Gamma    FALSE #> 6933   434 0.5698565 0.111750053  fv Log-Normal        Cox, Gamma    FALSE #> 6949   435 0.4345445 0.087168355  fv Log-Normal        Cox, Gamma    FALSE #> 6965   436 0.6488462 0.124059132  fv Log-Normal        Cox, Gamma    FALSE #> 6981   437 0.4985519 0.098328201  fv Log-Normal        Cox, Gamma    FALSE #> 6997   438 0.7555537 0.142820397  fv Log-Normal        Cox, Gamma    FALSE #> 7013   439 0.5195431 0.102728067  fv Log-Normal        Cox, Gamma    FALSE #> 7029   440 0.4001901 0.081978639  fv Log-Normal        Cox, Gamma    FALSE #> 7045   441 0.5221735 0.103055594  fv Log-Normal        Cox, Gamma    FALSE #> 7061   442 0.6261760 0.120790762  fv Log-Normal        Cox, Gamma    FALSE #> 7077   443 0.7115103 0.135894182  fv Log-Normal        Cox, Gamma    FALSE #> 7093   444 0.8105371 0.154148350  fv Log-Normal        Cox, Gamma    FALSE #> 7109   445 0.7507591 0.141487559  fv Log-Normal        Cox, Gamma    FALSE #> 7125   446 0.5493869 0.107028499  fv Log-Normal        Cox, Gamma    FALSE #> 7141   447 0.7140244 0.135131039  fv Log-Normal        Cox, Gamma    FALSE #> 7157   448 0.7267933 0.007501018  fv Log-Normal        Cox, Gamma     TRUE #> 7173   449 0.8146904 0.153718357  fv Log-Normal        Cox, Gamma    FALSE #> 7189   450 0.5712926 0.005956948  fv Log-Normal        Cox, Gamma     TRUE #> 7205   451 0.6845371 0.007089436  fv Log-Normal        Cox, Gamma     TRUE #> 7221   452 0.6853901 0.130472792  fv Log-Normal        Cox, Gamma    FALSE #> 7237   453 0.6417479 0.123250237  fv Log-Normal        Cox, Gamma    FALSE #> 7253   454 0.5911276 0.114601422  fv Log-Normal        Cox, Gamma    FALSE #> 7269   455 0.5984098 0.116590552  fv Log-Normal        Cox, Gamma    FALSE #> 7285   456 0.4505173 0.090165786  fv Log-Normal        Cox, Gamma    FALSE #> 7301   457 0.7620831 0.143403670  fv Log-Normal        Cox, Gamma    FALSE #> 7317   458 0.6686242 0.128940301  fv Log-Normal        Cox, Gamma    FALSE #> 7333   459 0.7889405 0.148922011  fv Log-Normal        Cox, Gamma    FALSE #> 7349   460 0.5358846 0.103974358  fv Log-Normal        Cox, Gamma    FALSE #> 7365   461 0.6733711 0.128134140  fv Log-Normal        Cox, Gamma    FALSE #> 7381   462 0.5991040 0.115019026  fv Log-Normal        Cox, Gamma    FALSE #> 7397   463 0.8014668 0.152431379  fv Log-Normal        Cox, Gamma    FALSE #> 7413   464 0.6531009 0.124232793  fv Log-Normal        Cox, Gamma    FALSE #> 7429   465 0.7414829 0.140694298  fv Log-Normal        Cox, Gamma    FALSE #> 7445   466 0.7425237 0.140996639  fv Log-Normal        Cox, Gamma    FALSE #> 7461   467 0.6586817 0.127143401  fv Log-Normal        Cox, Gamma    FALSE #> 7477   468 0.7449020 0.139983687  fv Log-Normal        Cox, Gamma    FALSE #> 7493   469 0.7953894 0.151211847  fv Log-Normal        Cox, Gamma    FALSE #> 7509   470 0.6709136 0.129021836  fv Log-Normal        Cox, Gamma    FALSE #> 7525   471 0.5187494 0.101602830  fv Log-Normal        Cox, Gamma    FALSE #> 7541   472 0.7762352 0.146346463  fv Log-Normal        Cox, Gamma    FALSE #> 7557   473 0.6079842 0.117712573  fv Log-Normal        Cox, Gamma    FALSE #> 7573   474 0.8214972 0.153722361  fv Log-Normal        Cox, Gamma    FALSE #> 7589   475 0.5320746 0.103794209  fv Log-Normal        Cox, Gamma    FALSE #> 7605   476 0.4423624 0.088897145  fv Log-Normal        Cox, Gamma    FALSE #> 7621   477 0.4959494 0.099039376  fv Log-Normal        Cox, Gamma    FALSE #> 7637   478 0.6609360 0.125421024  fv Log-Normal        Cox, Gamma    FALSE #> 7653   479 0.6794332 0.129846506  fv Log-Normal        Cox, Gamma    FALSE #> 7669   480 0.9217237 0.171612582  fv Log-Normal        Cox, Gamma    FALSE #> 7685   481 0.8691868 0.161785535  fv Log-Normal        Cox, Gamma    FALSE #> 7701   482 0.6070555 0.116947739  fv Log-Normal        Cox, Gamma    FALSE #> 7717   483 0.7383561 0.139682652  fv Log-Normal        Cox, Gamma    FALSE #> 7733   484 0.7324532 0.138770244  fv Log-Normal        Cox, Gamma    FALSE #> 7749   485 0.5259924 0.102916295  fv Log-Normal        Cox, Gamma    FALSE #> 7765   486 0.3905568 0.078816713  fv Log-Normal        Cox, Gamma    FALSE #> 7781   487 0.7444582 0.140331842  fv Log-Normal        Cox, Gamma    FALSE #> 7797   488 0.3979924 0.080542514  fv Log-Normal        Cox, Gamma    FALSE #> 7813   489 0.6556261 0.126188084  fv Log-Normal        Cox, Gamma    FALSE #> 7829   490 0.6030237          NA  fv Log-Normal        Cox, Gamma       NA #> 7845   491 0.6246608 0.120905487  fv Log-Normal        Cox, Gamma    FALSE #> 7861   492 0.4825731 0.094903496  fv Log-Normal        Cox, Gamma    FALSE #> 7877   493 0.9584215 0.177094162  fv Log-Normal        Cox, Gamma    FALSE #> 7893   494 0.6014177          NA  fv Log-Normal        Cox, Gamma       NA #> 7909   495 0.7160493 0.135345935  fv Log-Normal        Cox, Gamma    FALSE #> 7925   496 0.8782739 0.009032245  fv Log-Normal        Cox, Gamma     TRUE #> 7941   497 0.5213246 0.102227484  fv Log-Normal        Cox, Gamma    FALSE #> 7957   498 0.6085879          NA  fv Log-Normal        Cox, Gamma       NA #> 7973   499 0.7577549 0.144119208  fv Log-Normal        Cox, Gamma    FALSE #> 7989   500 0.6578232          NA  fv Log-Normal        Cox, Gamma       NA #> 8005   501 1.1931654 0.214830369  fv Log-Normal        Cox, Gamma     TRUE #> 8021   502 0.7043797 0.134622077  fv Log-Normal        Cox, Gamma    FALSE #> 8037   503 0.6449373 0.123467432  fv Log-Normal        Cox, Gamma    FALSE #> 8053   504 0.7763836 0.146112050  fv Log-Normal        Cox, Gamma    FALSE #> 8069   505 0.6039837 0.115828958  fv Log-Normal        Cox, Gamma    FALSE #> 8085   506 0.8130845 0.152643800  fv Log-Normal        Cox, Gamma    FALSE #> 8101   507 0.5864967 0.112727930  fv Log-Normal        Cox, Gamma    FALSE #> 8117   508 0.5052933 0.100823068  fv Log-Normal        Cox, Gamma    FALSE #> 8133   509 0.5737083 0.111195098  fv Log-Normal        Cox, Gamma    FALSE #> 8149   510 0.5598720 0.108532643  fv Log-Normal        Cox, Gamma    FALSE #> 8165   511 0.4042964 0.081176179  fv Log-Normal        Cox, Gamma    FALSE #> 8181   512 0.5921053 0.114606976  fv Log-Normal        Cox, Gamma    FALSE #> 8197   513 0.6463252 0.123735617  fv Log-Normal        Cox, Gamma    FALSE #> 8213   514 0.6396754 0.123749665  fv Log-Normal        Cox, Gamma    FALSE #> 8229   515 0.5031870 0.099629425  fv Log-Normal        Cox, Gamma    FALSE #> 8245   516 0.6478424 0.124667693  fv Log-Normal        Cox, Gamma    FALSE #> 8261   517 0.3317136 0.068474900  fv Log-Normal        Cox, Gamma    FALSE #> 8277   518 0.6553708 0.125632038  fv Log-Normal        Cox, Gamma    FALSE #> 8293   519 0.6725635 0.128430012  fv Log-Normal        Cox, Gamma    FALSE #> 8309   520 0.6841932 0.129888821  fv Log-Normal        Cox, Gamma    FALSE #> 8325   521 0.6377897          NA  fv Log-Normal        Cox, Gamma       NA #> 8341   522 0.4878991 0.096317522  fv Log-Normal        Cox, Gamma    FALSE #> 8357   523 0.6491452 0.123990211  fv Log-Normal        Cox, Gamma    FALSE #> 8373   524 0.5224167 0.104004647  fv Log-Normal        Cox, Gamma    FALSE #> 8389   525 0.6777538 0.130516488  fv Log-Normal        Cox, Gamma    FALSE #> 8405   526 0.5584814 0.109562292  fv Log-Normal        Cox, Gamma    FALSE #> 8421   527 0.6843104 0.132090449  fv Log-Normal        Cox, Gamma    FALSE #> 8437   528 0.7413526 0.140137362  fv Log-Normal        Cox, Gamma    FALSE #> 8453   529 0.7941552 0.148738686  fv Log-Normal        Cox, Gamma    FALSE #> 8469   530 0.3946714 0.079959532  fv Log-Normal        Cox, Gamma    FALSE #> 8485   531 0.7861082 0.147135826  fv Log-Normal        Cox, Gamma    FALSE #> 8501   532 0.6150512          NA  fv Log-Normal        Cox, Gamma       NA #> 8517   533 0.6126927 0.118046878  fv Log-Normal        Cox, Gamma    FALSE #> 8533   534 0.6733886 0.129512171  fv Log-Normal        Cox, Gamma    FALSE #> 8549   535 0.7332816 0.138322504  fv Log-Normal        Cox, Gamma    FALSE #> 8565   536 0.5205081 0.102413941  fv Log-Normal        Cox, Gamma    FALSE #> 8581   537 1.0384914 0.188738973  fv Log-Normal        Cox, Gamma     TRUE #> 8597   538 0.4543334 0.090536911  fv Log-Normal        Cox, Gamma    FALSE #> 8613   539 0.6715901          NA  fv Log-Normal        Cox, Gamma       NA #> 8629   540 0.5523389 0.107900473  fv Log-Normal        Cox, Gamma    FALSE #> 8645   541 0.8043327 0.150755997  fv Log-Normal        Cox, Gamma    FALSE #> 8661   542 0.6934063 0.132246580  fv Log-Normal        Cox, Gamma    FALSE #> 8677   543 0.7469130 0.142208358  fv Log-Normal        Cox, Gamma    FALSE #> 8693   544 0.6771137 0.129576795  fv Log-Normal        Cox, Gamma    FALSE #> 8709   545 0.5138754 0.100742098  fv Log-Normal        Cox, Gamma    FALSE #> 8725   546 0.8303685 0.156135534  fv Log-Normal        Cox, Gamma    FALSE #> 8741   547 0.6111091 0.118380971  fv Log-Normal        Cox, Gamma    FALSE #> 8757   548 0.5141719 0.102038969  fv Log-Normal        Cox, Gamma    FALSE #> 8773   549 0.7349328 0.138690104  fv Log-Normal        Cox, Gamma    FALSE #> 8789   550 0.5083307 0.101829261  fv Log-Normal        Cox, Gamma    FALSE #> 8805   551 0.6683084 0.127523621  fv Log-Normal        Cox, Gamma    FALSE #> 8821   552 0.6281157          NA  fv Log-Normal        Cox, Gamma       NA #> 8837   553 0.7055114 0.132958925  fv Log-Normal        Cox, Gamma    FALSE #> 8853   554 0.8280844 0.156933583  fv Log-Normal        Cox, Gamma    FALSE #> 8869   555 0.6843468 0.130041654  fv Log-Normal        Cox, Gamma    FALSE #> 8885   556 0.7533713 0.142048697  fv Log-Normal        Cox, Gamma    FALSE #> 8901   557 0.6250902 0.120157525  fv Log-Normal        Cox, Gamma    FALSE #> 8917   558 0.6066749 0.117016286  fv Log-Normal        Cox, Gamma    FALSE #> 8933   559 0.5426162 0.106388816  fv Log-Normal        Cox, Gamma    FALSE #> 8949   560 0.7141690 0.135766994  fv Log-Normal        Cox, Gamma    FALSE #> 8965   561 1.0274772 0.187741551  fv Log-Normal        Cox, Gamma     TRUE #> 8981   562 0.7421217 0.140796140  fv Log-Normal        Cox, Gamma    FALSE #> 8997   563 0.6799533 0.129434410  fv Log-Normal        Cox, Gamma    FALSE #> 9013   564 0.5069500 0.099182157  fv Log-Normal        Cox, Gamma    FALSE #> 9029   565 0.5192371 0.102478262  fv Log-Normal        Cox, Gamma    FALSE #> 9045   566 0.6242465 0.120118523  fv Log-Normal        Cox, Gamma    FALSE #> 9061   567 0.5965461 0.115018660  fv Log-Normal        Cox, Gamma    FALSE #> 9077   568 0.4716597 0.093558081  fv Log-Normal        Cox, Gamma    FALSE #> 9093   569 0.7968988 0.150002405  fv Log-Normal        Cox, Gamma    FALSE #> 9109   570 0.4621690 0.091289543  fv Log-Normal        Cox, Gamma    FALSE #> 9125   571 0.5841130 0.112584938  fv Log-Normal        Cox, Gamma    FALSE #> 9141   572 0.5706712 0.111580535  fv Log-Normal        Cox, Gamma    FALSE #> 9157   573 0.5738192 0.111598149  fv Log-Normal        Cox, Gamma    FALSE #> 9173   574 0.6448252 0.123758649  fv Log-Normal        Cox, Gamma    FALSE #> 9189   575 0.5479147 0.107160503  fv Log-Normal        Cox, Gamma    FALSE #> 9205   576 0.5551117 0.108212537  fv Log-Normal        Cox, Gamma    FALSE #> 9221   577 0.9281460 0.174612909  fv Log-Normal        Cox, Gamma    FALSE #> 9237   578 0.5259939 0.103027487  fv Log-Normal        Cox, Gamma    FALSE #> 9253   579 0.5383092 0.106116519  fv Log-Normal        Cox, Gamma    FALSE #> 9269   580 0.4711285 0.094424105  fv Log-Normal        Cox, Gamma    FALSE #> 9285   581 0.6494811 0.124008306  fv Log-Normal        Cox, Gamma    FALSE #> 9301   582 0.6771744 0.129385168  fv Log-Normal        Cox, Gamma    FALSE #> 9317   583 0.8865092 0.163523339  fv Log-Normal        Cox, Gamma    FALSE #> 9333   584 0.5000000 0.098868076  fv Log-Normal        Cox, Gamma    FALSE #> 9349   585 0.6156845 0.118126235  fv Log-Normal        Cox, Gamma    FALSE #> 9365   586 0.6909358 0.132262861  fv Log-Normal        Cox, Gamma    FALSE #> 9381   587 0.8254731 0.156164504  fv Log-Normal        Cox, Gamma    FALSE #> 9397   588 0.4985840 0.098185971  fv Log-Normal        Cox, Gamma    FALSE #> 9413   589 0.5667331 0.110590810  fv Log-Normal        Cox, Gamma    FALSE #> 9429   590 0.6755327 0.128974744  fv Log-Normal        Cox, Gamma    FALSE #> 9445   591 0.7100735 0.134783444  fv Log-Normal        Cox, Gamma    FALSE #> 9461   592 0.6398759 0.122043702  fv Log-Normal        Cox, Gamma    FALSE #> 9477   593 0.8497606 0.159346921  fv Log-Normal        Cox, Gamma    FALSE #> 9493   594 0.5974971 0.114783658  fv Log-Normal        Cox, Gamma    FALSE #> 9509   595 0.4889633 0.096514942  fv Log-Normal        Cox, Gamma    FALSE #> 9525   596 0.7551888 0.146743300  fv Log-Normal        Cox, Gamma    FALSE #> 9541   597 0.5546966 0.108577585  fv Log-Normal        Cox, Gamma    FALSE #> 9557   598 0.8867973 0.164441792  fv Log-Normal        Cox, Gamma    FALSE #> 9573   599 0.7171896 0.139493732  fv Log-Normal        Cox, Gamma    FALSE #> 9589   600 0.4879105 0.096772910  fv Log-Normal        Cox, Gamma    FALSE #> 9605   601 1.0026921          NA  fv Log-Normal        Cox, Gamma     TRUE #> 9621   602 0.9325088 0.173557163  fv Log-Normal        Cox, Gamma    FALSE #> 9637   603 0.3888751 0.079033438  fv Log-Normal        Cox, Gamma    FALSE #> 9653   604 0.6842209 0.130715889  fv Log-Normal        Cox, Gamma    FALSE #> 9669   605 1.2003127 0.217054265  fv Log-Normal        Cox, Gamma     TRUE #> 9685   606 0.6547442          NA  fv Log-Normal        Cox, Gamma       NA #> 9701   607 0.5317105 0.105097289  fv Log-Normal        Cox, Gamma    FALSE #> 9717   608 0.3897320 0.078854986  fv Log-Normal        Cox, Gamma    FALSE #> 9733   609 0.7396654 0.139623911  fv Log-Normal        Cox, Gamma    FALSE #> 9749   610 0.5778586 0.112592700  fv Log-Normal        Cox, Gamma    FALSE #> 9765   611 0.7311360 0.139959143  fv Log-Normal        Cox, Gamma    FALSE #> 9781   612 0.4822317 0.094986841  fv Log-Normal        Cox, Gamma    FALSE #> 9797   613 0.6700561 0.127315233  fv Log-Normal        Cox, Gamma    FALSE #> 9813   614 0.6139652 0.117963537  fv Log-Normal        Cox, Gamma    FALSE #> 9829   615 0.7041258 0.133147573  fv Log-Normal        Cox, Gamma    FALSE #> 9845   616 0.6486597 0.123698992  fv Log-Normal        Cox, Gamma    FALSE #> 9861   617 0.6631049 0.126776116  fv Log-Normal        Cox, Gamma    FALSE #> 9877   618 0.6326642 0.122967228  fv Log-Normal        Cox, Gamma    FALSE #> 9893   619 0.7031687 0.133526200  fv Log-Normal        Cox, Gamma    FALSE #> 9909   620 0.7016931 0.134030260  fv Log-Normal        Cox, Gamma    FALSE #> 9925   621 0.4804179 0.094630231  fv Log-Normal        Cox, Gamma    FALSE #> 9941   622 0.5398830 0.105518836  fv Log-Normal        Cox, Gamma    FALSE #> 9957   623 0.7882768          NA  fv Log-Normal        Cox, Gamma       NA #> 9973   624 0.5199565 0.102594438  fv Log-Normal        Cox, Gamma    FALSE #> 9989   625 0.6821884 0.131007762  fv Log-Normal        Cox, Gamma    FALSE #> 10005  626 0.5553299 0.108156062  fv Log-Normal        Cox, Gamma    FALSE #> 10021  627 0.5171324 0.100946474  fv Log-Normal        Cox, Gamma    FALSE #> 10037  628 0.6021959 0.117996583  fv Log-Normal        Cox, Gamma    FALSE #> 10053  629 0.5988361 0.116317156  fv Log-Normal        Cox, Gamma    FALSE #> 10069  630 0.7275214 0.137648611  fv Log-Normal        Cox, Gamma    FALSE #> 10085  631 0.6014324 0.116267022  fv Log-Normal        Cox, Gamma    FALSE #> 10101  632 0.6539662 0.125735227  fv Log-Normal        Cox, Gamma    FALSE #> 10117  633 0.4515294 0.090140744  fv Log-Normal        Cox, Gamma    FALSE #> 10133  634 0.5366501 0.104960671  fv Log-Normal        Cox, Gamma    FALSE #> 10149  635 0.7992162 0.151686284  fv Log-Normal        Cox, Gamma    FALSE #> 10165  636 0.3679142 0.074745635  fv Log-Normal        Cox, Gamma    FALSE #> 10181  637 0.8172567 0.153430015  fv Log-Normal        Cox, Gamma    FALSE #> 10197  638 0.6188470 0.119900789  fv Log-Normal        Cox, Gamma    FALSE #> 10213  639 0.4075475 0.082636108  fv Log-Normal        Cox, Gamma    FALSE #> 10229  640 0.6079813 0.117311944  fv Log-Normal        Cox, Gamma    FALSE #> 10245  641 0.5327991 0.105035147  fv Log-Normal        Cox, Gamma    FALSE #> 10261  642 0.5597292 0.109129262  fv Log-Normal        Cox, Gamma    FALSE #> 10277  643 0.6139384 0.118367241  fv Log-Normal        Cox, Gamma    FALSE #> 10293  644 0.5866635          NA  fv Log-Normal        Cox, Gamma       NA #> 10309  645 0.7208784 0.137431969  fv Log-Normal        Cox, Gamma    FALSE #> 10325  646 0.6933400 0.131413088  fv Log-Normal        Cox, Gamma    FALSE #> 10341  647 0.5671578 0.109870687  fv Log-Normal        Cox, Gamma    FALSE #> 10357  648 0.9313582 0.172295847  fv Log-Normal        Cox, Gamma    FALSE #> 10373  649 0.5481963 0.107649002  fv Log-Normal        Cox, Gamma    FALSE #> 10389  650 0.7605507 0.143662754  fv Log-Normal        Cox, Gamma    FALSE #> 10405  651 0.6464110 0.123572571  fv Log-Normal        Cox, Gamma    FALSE #> 10421  652 1.0094659          NA  fv Log-Normal        Cox, Gamma     TRUE #> 10437  653 0.4670246 0.092824199  fv Log-Normal        Cox, Gamma    FALSE #> 10453  654 0.5010104 0.099183261  fv Log-Normal        Cox, Gamma    FALSE #> 10469  655 0.6150549          NA  fv Log-Normal        Cox, Gamma       NA #> 10485  656 0.5876953 0.113979268  fv Log-Normal        Cox, Gamma    FALSE #> 10501  657 0.4694330 0.093140718  fv Log-Normal        Cox, Gamma    FALSE #> 10517  658 0.9549667 0.176185188  fv Log-Normal        Cox, Gamma    FALSE #> 10533  659 0.9190884 0.171500306  fv Log-Normal        Cox, Gamma    FALSE #> 10549  660 0.6910145 0.131000152  fv Log-Normal        Cox, Gamma    FALSE #> 10565  661 0.4568377 0.090509242  fv Log-Normal        Cox, Gamma    FALSE #> 10581  662 0.5172112 0.101535270  fv Log-Normal        Cox, Gamma    FALSE #> 10597  663 0.5894338 0.114077847  fv Log-Normal        Cox, Gamma    FALSE #> 10613  664 0.6056533 0.116455334  fv Log-Normal        Cox, Gamma    FALSE #> 10629  665 0.7852957 0.148553995  fv Log-Normal        Cox, Gamma    FALSE #> 10645  666 0.9859896 0.180554439  fv Log-Normal        Cox, Gamma     TRUE #> 10661  667 0.5862766 0.113642712  fv Log-Normal        Cox, Gamma    FALSE #> 10677  668 0.5949446 0.115866220  fv Log-Normal        Cox, Gamma    FALSE #> 10693  669 0.7850263 0.147802853  fv Log-Normal        Cox, Gamma    FALSE #> 10709  670 0.5635746          NA  fv Log-Normal        Cox, Gamma       NA #> 10725  671 0.7259235 0.138202958  fv Log-Normal        Cox, Gamma    FALSE #> 10741  672 0.8718181 0.163010978  fv Log-Normal        Cox, Gamma    FALSE #> 10757  673 0.6408388 0.123876096  fv Log-Normal        Cox, Gamma    FALSE #> 10773  674 0.7466389 0.142055048  fv Log-Normal        Cox, Gamma    FALSE #> 10789  675 0.5421365 0.106966298  fv Log-Normal        Cox, Gamma    FALSE #> 10805  676 0.8391278 0.157251504  fv Log-Normal        Cox, Gamma    FALSE #> 10821  677 0.6225082 0.120465864  fv Log-Normal        Cox, Gamma    FALSE #> 10837  678 0.5245500 0.103447698  fv Log-Normal        Cox, Gamma    FALSE #> 10853  679 0.5851618          NA  fv Log-Normal        Cox, Gamma       NA #> 10869  680 0.6683333 0.127906739  fv Log-Normal        Cox, Gamma    FALSE #> 10885  681 0.8702246 0.162150474  fv Log-Normal        Cox, Gamma    FALSE #> 10901  682 0.5397913 0.104974509  fv Log-Normal        Cox, Gamma    FALSE #> 10917  683 0.7569255 0.145064290  fv Log-Normal        Cox, Gamma    FALSE #> 10933  684 0.9591995 0.177344786  fv Log-Normal        Cox, Gamma    FALSE #> 10949  685 0.5623235 0.109076488  fv Log-Normal        Cox, Gamma    FALSE #> 10965  686 0.8192108 0.153746623  fv Log-Normal        Cox, Gamma    FALSE #> 10981  687 0.5286876 0.103347965  fv Log-Normal        Cox, Gamma    FALSE #> 10997  688 0.5358129 0.105056766  fv Log-Normal        Cox, Gamma    FALSE #> 11013  689 0.5913183 0.115293694  fv Log-Normal        Cox, Gamma    FALSE #> 11029  690 0.7268248 0.137887225  fv Log-Normal        Cox, Gamma    FALSE #> 11045  691 0.7463031 0.145380092  fv Log-Normal        Cox, Gamma    FALSE #> 11061  692 0.5489217 0.106600253  fv Log-Normal        Cox, Gamma    FALSE #> 11077  693 0.4519482 0.090149874  fv Log-Normal        Cox, Gamma    FALSE #> 11093  694 0.6822745 0.130763160  fv Log-Normal        Cox, Gamma    FALSE #> 11109  695 0.5559127 0.108383281  fv Log-Normal        Cox, Gamma    FALSE #> 11125  696 0.6691356 0.127526992  fv Log-Normal        Cox, Gamma    FALSE #> 11141  697 0.8042098 0.152144346  fv Log-Normal        Cox, Gamma    FALSE #> 11157  698 0.4023952 0.081060891  fv Log-Normal        Cox, Gamma    FALSE #> 11173  699 0.6212888 0.120567498  fv Log-Normal        Cox, Gamma    FALSE #> 11189  700 0.4839348 0.095596275  fv Log-Normal        Cox, Gamma    FALSE #> 11205  701 0.7137080 0.135569766  fv Log-Normal        Cox, Gamma    FALSE #> 11221  702 0.7879064 0.150369164  fv Log-Normal        Cox, Gamma    FALSE #> 11237  703 0.6841934 0.131021982  fv Log-Normal        Cox, Gamma    FALSE #> 11253  704 0.5994003 0.116696139  fv Log-Normal        Cox, Gamma    FALSE #> 11269  705 0.5822209 0.112386316  fv Log-Normal        Cox, Gamma    FALSE #> 11285  706 0.6451694 0.123668202  fv Log-Normal        Cox, Gamma    FALSE #> 11301  707 0.7728336 0.144921118  fv Log-Normal        Cox, Gamma    FALSE #> 11317  708 0.7578368 0.142268276  fv Log-Normal        Cox, Gamma    FALSE #> 11333  709 0.7044466 0.137535324  fv Log-Normal        Cox, Gamma    FALSE #> 11349  710 0.4848854 0.096366538  fv Log-Normal        Cox, Gamma    FALSE #> 11365  711 0.6696038 0.131629200  fv Log-Normal        Cox, Gamma    FALSE #> 11381  712 0.6364269          NA  fv Log-Normal        Cox, Gamma       NA #> 11397  713 0.8785677 0.164027544  fv Log-Normal        Cox, Gamma    FALSE #> 11413  714 0.7289698 0.139114880  fv Log-Normal        Cox, Gamma    FALSE #> 11429  715 0.6760923 0.128597343  fv Log-Normal        Cox, Gamma    FALSE #> 11445  716 0.6206559 0.118841559  fv Log-Normal        Cox, Gamma    FALSE #> 11461  717 0.6715545 0.128487711  fv Log-Normal        Cox, Gamma    FALSE #> 11477  718 0.7875216 0.148889321  fv Log-Normal        Cox, Gamma    FALSE #> 11493  719 0.9351608 0.174706425  fv Log-Normal        Cox, Gamma    FALSE #> 11509  720 0.6329848 0.120820543  fv Log-Normal        Cox, Gamma    FALSE #> 11525  721 0.5076976 0.099834680  fv Log-Normal        Cox, Gamma    FALSE #> 11541  722 0.7036759 0.133565138  fv Log-Normal        Cox, Gamma    FALSE #> 11557  723 0.5811768 0.113354759  fv Log-Normal        Cox, Gamma    FALSE #> 11573  724 0.6810073 0.131625143  fv Log-Normal        Cox, Gamma    FALSE #> 11589  725 0.6749253 0.128842134  fv Log-Normal        Cox, Gamma    FALSE #> 11605  726 0.5682980 0.110789939  fv Log-Normal        Cox, Gamma    FALSE #> 11621  727 0.6973867 0.132403499  fv Log-Normal        Cox, Gamma    FALSE #> 11637  728 0.9034403 0.167176467  fv Log-Normal        Cox, Gamma    FALSE #> 11653  729 0.6618256 0.126659612  fv Log-Normal        Cox, Gamma    FALSE #> 11669  730 0.7355975 0.139569325  fv Log-Normal        Cox, Gamma    FALSE #> 11685  731 0.4578597 0.091222814  fv Log-Normal        Cox, Gamma    FALSE #> 11701  732 0.3962879 0.079619289  fv Log-Normal        Cox, Gamma    FALSE #> 11717  733 0.7799217 0.146397355  fv Log-Normal        Cox, Gamma    FALSE #> 11733  734 0.7250782 0.136961355  fv Log-Normal        Cox, Gamma    FALSE #> 11749  735 0.8080674 0.150410061  fv Log-Normal        Cox, Gamma    FALSE #> 11765  736 0.7302051 0.138445599  fv Log-Normal        Cox, Gamma    FALSE #> 11781  737 0.6501185 0.124084760  fv Log-Normal        Cox, Gamma    FALSE #> 11797  738 0.5133997 0.101780781  fv Log-Normal        Cox, Gamma    FALSE #> 11813  739 0.5361525 0.104999322  fv Log-Normal        Cox, Gamma    FALSE #> 11829  740 0.7272712 0.138201013  fv Log-Normal        Cox, Gamma    FALSE #> 11845  741 0.7920042 0.148046562  fv Log-Normal        Cox, Gamma    FALSE #> 11861  742 0.5971878 0.115515589  fv Log-Normal        Cox, Gamma    FALSE #> 11877  743 0.6372487 0.122156878  fv Log-Normal        Cox, Gamma    FALSE #> 11893  744 0.6076604 0.117080863  fv Log-Normal        Cox, Gamma    FALSE #> 11909  745 0.6258474 0.120185601  fv Log-Normal        Cox, Gamma    FALSE #> 11925  746 0.6137741 0.122398199  fv Log-Normal        Cox, Gamma    FALSE #> 11941  747 0.5661390 0.109952145  fv Log-Normal        Cox, Gamma    FALSE #> 11957  748 0.8181814 0.154842528  fv Log-Normal        Cox, Gamma    FALSE #> 11973  749 0.8883396 0.166043136  fv Log-Normal        Cox, Gamma    FALSE #> 11989  750 0.6714251 0.128300301  fv Log-Normal        Cox, Gamma    FALSE #> 12005  751 0.7715463 0.145206839  fv Log-Normal        Cox, Gamma    FALSE #> 12021  752 0.6441060 0.126152659  fv Log-Normal        Cox, Gamma    FALSE #> 12037  753 0.4018435 0.081668489  fv Log-Normal        Cox, Gamma    FALSE #> 12053  754 0.6463386 0.123715910  fv Log-Normal        Cox, Gamma    FALSE #> 12069  755 0.5965575 0.115533717  fv Log-Normal        Cox, Gamma    FALSE #> 12085  756 0.3440358 0.070858933  fv Log-Normal        Cox, Gamma    FALSE #> 12101  757 0.6413942 0.123412706  fv Log-Normal        Cox, Gamma    FALSE #> 12117  758 0.6787276 0.129764259  fv Log-Normal        Cox, Gamma    FALSE #> 12133  759 0.5787070 0.112332541  fv Log-Normal        Cox, Gamma    FALSE #> 12149  760 0.8563906 0.161448535  fv Log-Normal        Cox, Gamma    FALSE #> 12165  761 0.5460240 0.107074937  fv Log-Normal        Cox, Gamma    FALSE #> 12181  762 0.7127921 0.136154341  fv Log-Normal        Cox, Gamma    FALSE #> 12197  763 0.5129074 0.101292545  fv Log-Normal        Cox, Gamma    FALSE #> 12213  764 0.5763837 0.111781244  fv Log-Normal        Cox, Gamma    FALSE #> 12229  765 0.7664589 0.143748738  fv Log-Normal        Cox, Gamma    FALSE #> 12245  766 0.5600605 0.108454352  fv Log-Normal        Cox, Gamma    FALSE #> 12261  767 0.7366908 0.139359440  fv Log-Normal        Cox, Gamma    FALSE #> 12277  768 0.4817040 0.094934157  fv Log-Normal        Cox, Gamma    FALSE #> 12293  769 0.8405919 0.157104432  fv Log-Normal        Cox, Gamma    FALSE #> 12309  770 0.5195843 0.102208060  fv Log-Normal        Cox, Gamma    FALSE #> 12325  771 0.5317918 0.106680566  fv Log-Normal        Cox, Gamma    FALSE #> 12341  772 0.5016173 0.098605760  fv Log-Normal        Cox, Gamma    FALSE #> 12357  773 0.5638723 0.111342842  fv Log-Normal        Cox, Gamma    FALSE #> 12373  774 0.6730202 0.129443064  fv Log-Normal        Cox, Gamma    FALSE #> 12389  775 0.6121184          NA  fv Log-Normal        Cox, Gamma       NA #> 12405  776 0.5603536 0.108454516  fv Log-Normal        Cox, Gamma    FALSE #> 12421  777 0.5635692 0.109901110  fv Log-Normal        Cox, Gamma    FALSE #> 12437  778 0.5287791 0.103608108  fv Log-Normal        Cox, Gamma    FALSE #> 12453  779 0.5459400 0.106667094  fv Log-Normal        Cox, Gamma    FALSE #> 12469  780 0.5454313 0.106487875  fv Log-Normal        Cox, Gamma    FALSE #> 12485  781 0.6435394 0.123723033  fv Log-Normal        Cox, Gamma    FALSE #> 12501  782 0.5440785 0.106183644  fv Log-Normal        Cox, Gamma    FALSE #> 12517  783 0.5646684 0.110072451  fv Log-Normal        Cox, Gamma    FALSE #> 12533  784 0.7140410 0.135997697  fv Log-Normal        Cox, Gamma    FALSE #> 12549  785 0.4320567 0.086209585  fv Log-Normal        Cox, Gamma    FALSE #> 12565  786 0.5871582 0.114417704  fv Log-Normal        Cox, Gamma    FALSE #> 12581  787 0.8307302 0.154887306  fv Log-Normal        Cox, Gamma    FALSE #> 12597  788 0.6235801          NA  fv Log-Normal        Cox, Gamma       NA #> 12613  789 0.7648412 0.144381392  fv Log-Normal        Cox, Gamma    FALSE #> 12629  790 0.6109958 0.117593356  fv Log-Normal        Cox, Gamma    FALSE #> 12645  791 0.3740806 0.075608302  fv Log-Normal        Cox, Gamma    FALSE #> 12661  792 0.5561341 0.110068462  fv Log-Normal        Cox, Gamma    FALSE #> 12677  793 0.7406961 0.139600573  fv Log-Normal        Cox, Gamma    FALSE #> 12693  794 0.6753768 0.133145979  fv Log-Normal        Cox, Gamma    FALSE #> 12709  795 0.5773739 0.112448186  fv Log-Normal        Cox, Gamma    FALSE #> 12725  796 0.5102600 0.100449198  fv Log-Normal        Cox, Gamma    FALSE #> 12741  797 0.5152045 0.100934224  fv Log-Normal        Cox, Gamma    FALSE #> 12757  798 0.4019849 0.081496314  fv Log-Normal        Cox, Gamma    FALSE #> 12773  799 0.6295888 0.120381526  fv Log-Normal        Cox, Gamma    FALSE #> 12789  800 0.6506860 0.125151707  fv Log-Normal        Cox, Gamma    FALSE #> 12805  801 0.9235044 0.172121125  fv Log-Normal        Cox, Gamma    FALSE #> 12821  802 0.6243786 0.119285799  fv Log-Normal        Cox, Gamma    FALSE #> 12837  803 0.6127131 0.118494093  fv Log-Normal        Cox, Gamma    FALSE #> 12853  804 0.6683181 0.127845508  fv Log-Normal        Cox, Gamma    FALSE #> 12869  805 0.8655709 0.164958554  fv Log-Normal        Cox, Gamma    FALSE #> 12885  806 0.8307338 0.158511657  fv Log-Normal        Cox, Gamma    FALSE #> 12901  807 0.6847624 0.007098338  fv Log-Normal        Cox, Gamma     TRUE #> 12917  808 0.4608903 0.091363357  fv Log-Normal        Cox, Gamma    FALSE #> 12933  809 0.5746463 0.111581806  fv Log-Normal        Cox, Gamma    FALSE #> 12949  810 0.6261066 0.120222463  fv Log-Normal        Cox, Gamma    FALSE #> 12965  811 0.4101906 0.082327643  fv Log-Normal        Cox, Gamma    FALSE #> 12981  812 0.6375601 0.122977631  fv Log-Normal        Cox, Gamma    FALSE #> 12997  813 0.7067174 0.133583771  fv Log-Normal        Cox, Gamma    FALSE #> 13013  814 0.6125992 0.118493837  fv Log-Normal        Cox, Gamma    FALSE #> 13029  815 0.5418829 0.107600002  fv Log-Normal        Cox, Gamma    FALSE #> 13045  816 0.5858533          NA  fv Log-Normal        Cox, Gamma       NA #> 13061  817 0.4076984 0.081983169  fv Log-Normal        Cox, Gamma    FALSE #> 13077  818 0.6378915 0.124745913  fv Log-Normal        Cox, Gamma    FALSE #> 13093  819 0.7019073 0.132946154  fv Log-Normal        Cox, Gamma    FALSE #> 13109  820 0.8104918 0.153613082  fv Log-Normal        Cox, Gamma    FALSE #> 13125  821 0.4928717 0.096887270  fv Log-Normal        Cox, Gamma    FALSE #> 13141  822 0.8106514 0.152692972  fv Log-Normal        Cox, Gamma    FALSE #> 13157  823 0.9414082 0.176020573  fv Log-Normal        Cox, Gamma    FALSE #> 13173  824 0.7807771 0.147247985  fv Log-Normal        Cox, Gamma    FALSE #> 13189  825 0.7034024 0.134541272  fv Log-Normal        Cox, Gamma    FALSE #> 13205  826 0.7094238 0.135741788  fv Log-Normal        Cox, Gamma    FALSE #> 13221  827 0.8135921 0.154539346  fv Log-Normal        Cox, Gamma    FALSE #> 13237  828 0.5962366 0.116746571  fv Log-Normal        Cox, Gamma    FALSE #> 13253  829 0.6516192 0.125243568  fv Log-Normal        Cox, Gamma    FALSE #> 13269  830 0.7515323 0.142232279  fv Log-Normal        Cox, Gamma    FALSE #> 13285  831 0.6930557 0.131294024  fv Log-Normal        Cox, Gamma    FALSE #> 13301  832 0.4914554 0.097267429  fv Log-Normal        Cox, Gamma    FALSE #> 13317  833 0.7539417 0.142658069  fv Log-Normal        Cox, Gamma    FALSE #> 13333  834 0.5800657 0.113033660  fv Log-Normal        Cox, Gamma    FALSE #> 13349  835 0.6207208 0.120104030  fv Log-Normal        Cox, Gamma    FALSE #> 13365  836 0.6793893 0.129865727  fv Log-Normal        Cox, Gamma    FALSE #> 13381  837 0.7548904 0.143482390  fv Log-Normal        Cox, Gamma    FALSE #> 13397  838 0.6016750 0.116332111  fv Log-Normal        Cox, Gamma    FALSE #> 13413  839 0.5676191 0.111629149  fv Log-Normal        Cox, Gamma    FALSE #> 13429  840 0.5784233 0.006032357  fv Log-Normal        Cox, Gamma     TRUE #> 13445  841 0.9024294 0.169028872  fv Log-Normal        Cox, Gamma    FALSE #> 13461  842 0.4944220 0.097387303  fv Log-Normal        Cox, Gamma    FALSE #> 13477  843 0.6174343          NA  fv Log-Normal        Cox, Gamma       NA #> 13493  844 0.7765827 0.145469783  fv Log-Normal        Cox, Gamma    FALSE #> 13509  845 0.8061865 0.151157541  fv Log-Normal        Cox, Gamma    FALSE #> 13525  846 0.4946398 0.097713008  fv Log-Normal        Cox, Gamma    FALSE #> 13541  847 0.8872828 0.164244428  fv Log-Normal        Cox, Gamma    FALSE #> 13557  848 0.6722396 0.128137186  fv Log-Normal        Cox, Gamma    FALSE #> 13573  849 0.5499169 0.107476581  fv Log-Normal        Cox, Gamma    FALSE #> 13589  850 0.7639498 0.144795253  fv Log-Normal        Cox, Gamma    FALSE #> 13605  851 0.5845154 0.112833034  fv Log-Normal        Cox, Gamma    FALSE #> 13621  852 0.6056401 0.116696724  fv Log-Normal        Cox, Gamma    FALSE #> 13637  853 0.8570990 0.158665026  fv Log-Normal        Cox, Gamma    FALSE #> 13653  854 0.6183688          NA  fv Log-Normal        Cox, Gamma       NA #> 13669  855 0.5442098 0.106470731  fv Log-Normal        Cox, Gamma    FALSE #> 13685  856 0.7602114 0.143711564  fv Log-Normal        Cox, Gamma    FALSE #> 13701  857 0.7054449 0.134533671  fv Log-Normal        Cox, Gamma    FALSE #> 13717  858 0.8738845 0.162323725  fv Log-Normal        Cox, Gamma    FALSE #> 13733  859 0.8433205 0.158129658  fv Log-Normal        Cox, Gamma    FALSE #> 13749  860 0.6194807 0.120192334  fv Log-Normal        Cox, Gamma    FALSE #> 13765  861 0.4240218 0.085035129  fv Log-Normal        Cox, Gamma    FALSE #> 13781  862 0.5727095 0.111056530  fv Log-Normal        Cox, Gamma    FALSE #> 13797  863 0.5931713 0.114924197  fv Log-Normal        Cox, Gamma    FALSE #> 13813  864 0.7886915 0.148632446  fv Log-Normal        Cox, Gamma    FALSE #> 13829  865 0.8417216 0.157705339  fv Log-Normal        Cox, Gamma    FALSE #> 13845  866 0.7324513 0.140415114  fv Log-Normal        Cox, Gamma    FALSE #> 13861  867 0.5336145 0.105020826  fv Log-Normal        Cox, Gamma    FALSE #> 13877  868 0.8326129 0.157190658  fv Log-Normal        Cox, Gamma    FALSE #> 13893  869 0.4553176 0.090454476  fv Log-Normal        Cox, Gamma    FALSE #> 13909  870 0.7275115 0.139000119  fv Log-Normal        Cox, Gamma    FALSE #> 13925  871 0.4562028 0.090945564  fv Log-Normal        Cox, Gamma    FALSE #> 13941  872 0.4282411 0.086039728  fv Log-Normal        Cox, Gamma    FALSE #> 13957  873 0.7410010 0.139529175  fv Log-Normal        Cox, Gamma    FALSE #> 13973  874 0.6406572 0.123512358  fv Log-Normal        Cox, Gamma    FALSE #> 13989  875 0.5379126 0.104728825  fv Log-Normal        Cox, Gamma    FALSE #> 14005  876 0.5522451 0.108150503  fv Log-Normal        Cox, Gamma    FALSE #> 14021  877 0.5176314 0.102540214  fv Log-Normal        Cox, Gamma    FALSE #> 14037  878 0.6117499 0.118653415  fv Log-Normal        Cox, Gamma    FALSE #> 14053  879 0.6092139 0.117915292  fv Log-Normal        Cox, Gamma    FALSE #> 14069  880 0.7281917 0.137629429  fv Log-Normal        Cox, Gamma    FALSE #> 14085  881 0.4806627 0.094979574  fv Log-Normal        Cox, Gamma    FALSE #> 14101  882 0.6538869 0.126627474  fv Log-Normal        Cox, Gamma    FALSE #> 14117  883 0.5610964 0.109264809  fv Log-Normal        Cox, Gamma    FALSE #> 14133  884 0.4925104 0.097240268  fv Log-Normal        Cox, Gamma    FALSE #> 14149  885 0.6589978 0.126130195  fv Log-Normal        Cox, Gamma    FALSE #> 14165  886 0.5726060 0.111766627  fv Log-Normal        Cox, Gamma    FALSE #> 14181  887 0.3455108 0.071029692  fv Log-Normal        Cox, Gamma    FALSE #> 14197  888 0.5385587 0.104973741  fv Log-Normal        Cox, Gamma    FALSE #> 14213  889 0.6028528 0.116696393  fv Log-Normal        Cox, Gamma    FALSE #> 14229  890 0.6115686 0.117674263  fv Log-Normal        Cox, Gamma    FALSE #> 14245  891 0.6530045 0.124860018  fv Log-Normal        Cox, Gamma    FALSE #> 14261  892 0.9512529 0.177813247  fv Log-Normal        Cox, Gamma    FALSE #> 14277  893 0.4324512 0.086825693  fv Log-Normal        Cox, Gamma    FALSE #> 14293  894 0.5597415 0.110075287  fv Log-Normal        Cox, Gamma    FALSE #> 14309  895 0.7000887 0.134095874  fv Log-Normal        Cox, Gamma    FALSE #> 14325  896 0.4728721 0.093547165  fv Log-Normal        Cox, Gamma    FALSE #> 14341  897 0.5701801 0.110691422  fv Log-Normal        Cox, Gamma    FALSE #> 14357  898 0.6771217 0.129572295  fv Log-Normal        Cox, Gamma    FALSE #> 14373  899 0.7731560 0.148972225  fv Log-Normal        Cox, Gamma    FALSE #> 14389  900 0.6242420 0.120427482  fv Log-Normal        Cox, Gamma    FALSE #> 14405  901 0.6907226 0.131189457  fv Log-Normal        Cox, Gamma    FALSE #> 14421  902 0.7152259 0.135339899  fv Log-Normal        Cox, Gamma    FALSE #> 14437  903 0.5105152 0.100732976  fv Log-Normal        Cox, Gamma    FALSE #> 14453  904 0.5856935 0.113481600  fv Log-Normal        Cox, Gamma    FALSE #> 14469  905 0.5997602          NA  fv Log-Normal        Cox, Gamma       NA #> 14485  906 0.6365419 0.122578578  fv Log-Normal        Cox, Gamma    FALSE #> 14501  907 0.5898802 0.115521684  fv Log-Normal        Cox, Gamma    FALSE #> 14517  908 0.4531988 0.090312108  fv Log-Normal        Cox, Gamma    FALSE #> 14533  909 0.7511674 0.141395630  fv Log-Normal        Cox, Gamma    FALSE #> 14549  910 0.5647211 0.109999123  fv Log-Normal        Cox, Gamma    FALSE #> 14565  911 0.6067530 0.117194452  fv Log-Normal        Cox, Gamma    FALSE #> 14581  912 0.3617871 0.073947377  fv Log-Normal        Cox, Gamma    FALSE #> 14597  913 0.5505871 0.107420031  fv Log-Normal        Cox, Gamma    FALSE #> 14613  914 0.7699292 0.145248215  fv Log-Normal        Cox, Gamma    FALSE #> 14629  915 0.5864275 0.113192932  fv Log-Normal        Cox, Gamma    FALSE #> 14645  916 0.6235821          NA  fv Log-Normal        Cox, Gamma       NA #> 14661  917 0.4809311 0.095930729  fv Log-Normal        Cox, Gamma    FALSE #> 14677  918 0.5527238 0.108983870  fv Log-Normal        Cox, Gamma    FALSE #> 14693  919 0.6191935 0.119875457  fv Log-Normal        Cox, Gamma    FALSE #> 14709  920 0.5966615          NA  fv Log-Normal        Cox, Gamma       NA #> 14725  921 0.9739077 0.178572509  fv Log-Normal        Cox, Gamma    FALSE #> 14741  922 0.5740252 0.111843075  fv Log-Normal        Cox, Gamma    FALSE #> 14757  923 0.8611072 0.160092580  fv Log-Normal        Cox, Gamma    FALSE #> 14773  924 0.6116145 0.118190811  fv Log-Normal        Cox, Gamma    FALSE #> 14789  925 0.6970632 0.133922744  fv Log-Normal        Cox, Gamma    FALSE #> 14805  926 0.7548431 0.141797187  fv Log-Normal        Cox, Gamma    FALSE #> 14821  927 0.7246747 0.137313580  fv Log-Normal        Cox, Gamma    FALSE #> 14837  928 0.6419417          NA  fv Log-Normal        Cox, Gamma       NA #> 14853  929 0.6743449 0.128440051  fv Log-Normal        Cox, Gamma    FALSE #> 14869  930 0.5122725 0.101372331  fv Log-Normal        Cox, Gamma    FALSE #> 14885  931 0.7130454 0.135971450  fv Log-Normal        Cox, Gamma    FALSE #> 14901  932 0.5066433 0.100500273  fv Log-Normal        Cox, Gamma    FALSE #> 14917  933 0.4945458 0.097082695  fv Log-Normal        Cox, Gamma    FALSE #> 14933  934 0.6492706          NA  fv Log-Normal        Cox, Gamma       NA #> 14949  935 0.7595802 0.142781942  fv Log-Normal        Cox, Gamma    FALSE #> 14965  936 0.6649180 0.127703570  fv Log-Normal        Cox, Gamma    FALSE #> 14981  937 0.6533127 0.124319736  fv Log-Normal        Cox, Gamma    FALSE #> 14997  938 0.6926645 0.131356315  fv Log-Normal        Cox, Gamma    FALSE #> 15013  939 0.5077710 0.099590277  fv Log-Normal        Cox, Gamma    FALSE #> 15029  940 0.6933669 0.133191128  fv Log-Normal        Cox, Gamma    FALSE #> 15045  941 0.4268047 0.085815756  fv Log-Normal        Cox, Gamma    FALSE #> 15061  942 0.7084437 0.133839212  fv Log-Normal        Cox, Gamma    FALSE #> 15077  943 0.4584328 0.090854771  fv Log-Normal        Cox, Gamma    FALSE #> 15093  944 0.5666850 0.110036299  fv Log-Normal        Cox, Gamma    FALSE #> 15109  945 0.9440737 0.175421907  fv Log-Normal        Cox, Gamma    FALSE #> 15125  946 0.7158152 0.136016918  fv Log-Normal        Cox, Gamma    FALSE #> 15141  947 0.7167894 0.135529442  fv Log-Normal        Cox, Gamma    FALSE #> 15157  948 0.4493495 0.091216146  fv Log-Normal        Cox, Gamma    FALSE #> 15173  949 0.5803668 0.112156181  fv Log-Normal        Cox, Gamma    FALSE #> 15189  950 0.6935612 0.132417693  fv Log-Normal        Cox, Gamma    FALSE #> 15205  951 0.4651010 0.092037357  fv Log-Normal        Cox, Gamma    FALSE #> 15221  952 0.5304067 0.103569265  fv Log-Normal        Cox, Gamma    FALSE #> 15237  953 0.5574506          NA  fv Log-Normal        Cox, Gamma       NA #> 15253  954 0.7829632 0.149765497  fv Log-Normal        Cox, Gamma    FALSE #> 15269  955 0.6315200 0.121635710  fv Log-Normal        Cox, Gamma    FALSE #> 15285  956 0.7256935 0.136559638  fv Log-Normal        Cox, Gamma    FALSE #> 15301  957 0.5255019 0.102668152  fv Log-Normal        Cox, Gamma    FALSE #> 15317  958 0.5515319 0.108203497  fv Log-Normal        Cox, Gamma    FALSE #> 15333  959 0.6365335 0.006618674  fv Log-Normal        Cox, Gamma     TRUE #> 15349  960 0.4975672 0.097788653  fv Log-Normal        Cox, Gamma    FALSE #> 15365  961 0.7256961 0.136960775  fv Log-Normal        Cox, Gamma    FALSE #> 15381  962 0.6723918 0.128074823  fv Log-Normal        Cox, Gamma    FALSE #> 15397  963 0.8582505 0.161076038  fv Log-Normal        Cox, Gamma    FALSE #> 15413  964 0.6765533 0.131222054  fv Log-Normal        Cox, Gamma    FALSE #> 15429  965 0.4969462 0.098034066  fv Log-Normal        Cox, Gamma    FALSE #> 15445  966 0.8281505 0.153884185  fv Log-Normal        Cox, Gamma    FALSE #> 15461  967 0.8024846 0.151662537  fv Log-Normal        Cox, Gamma    FALSE #> 15477  968 0.7562529 0.144638541  fv Log-Normal        Cox, Gamma    FALSE #> 15493  969 0.9270354 0.171035756  fv Log-Normal        Cox, Gamma    FALSE #> 15509  970 0.7075527 0.135390065  fv Log-Normal        Cox, Gamma    FALSE #> 15525  971 0.7638483 0.143021387  fv Log-Normal        Cox, Gamma    FALSE #> 15541  972 0.5393256 0.105657239  fv Log-Normal        Cox, Gamma    FALSE #> 15557  973 0.7927163 0.148657584  fv Log-Normal        Cox, Gamma    FALSE #> 15573  974 0.8194812 0.153583984  fv Log-Normal        Cox, Gamma    FALSE #> 15589  975 0.8901438 0.164621225  fv Log-Normal        Cox, Gamma    FALSE #> 15605  976 0.7033173 0.135752844  fv Log-Normal        Cox, Gamma    FALSE #> 15621  977 0.9184243 0.169985183  fv Log-Normal        Cox, Gamma    FALSE #> 15637  978 0.7000262 0.133687476  fv Log-Normal        Cox, Gamma    FALSE #> 15653  979 0.5554882 0.108354847  fv Log-Normal        Cox, Gamma    FALSE #> 15669  980 0.6736097 0.129146495  fv Log-Normal        Cox, Gamma    FALSE #> 15685  981 0.5661670 0.109523726  fv Log-Normal        Cox, Gamma    FALSE #> 15701  982 0.5354088 0.104414629  fv Log-Normal        Cox, Gamma    FALSE #> 15717  983 0.6487939 0.124135434  fv Log-Normal        Cox, Gamma    FALSE #> 15733  984 0.6188661 0.120173122  fv Log-Normal        Cox, Gamma    FALSE #> 15749  985 0.7714019 0.145426296  fv Log-Normal        Cox, Gamma    FALSE #> 15765  986 0.6954945 0.133563065  fv Log-Normal        Cox, Gamma    FALSE #> 15781  987 0.6624646 0.129133922  fv Log-Normal        Cox, Gamma    FALSE #> 15797  988 0.7075265 0.133801077  fv Log-Normal        Cox, Gamma    FALSE #> 15813  989 0.7489396 0.140608370  fv Log-Normal        Cox, Gamma    FALSE #> 15829  990 0.6790675 0.130260397  fv Log-Normal        Cox, Gamma    FALSE #> 15845  991 0.7490903 0.141714729  fv Log-Normal        Cox, Gamma    FALSE #> 15861  992 0.6467935 0.124231773  fv Log-Normal        Cox, Gamma    FALSE #> 15877  993 0.6374168 0.121764982  fv Log-Normal        Cox, Gamma    FALSE #> 15893  994 0.6287016 0.122781015  fv Log-Normal        Cox, Gamma    FALSE #> 15909  995 0.5297770 0.103847152  fv Log-Normal        Cox, Gamma    FALSE #> 15925  996 0.6734033 0.130429589  fv Log-Normal        Cox, Gamma    FALSE #> 15941  997 0.5717180 0.110420307  fv Log-Normal        Cox, Gamma    FALSE #> 15957  998 0.5513744 0.107819150  fv Log-Normal        Cox, Gamma    FALSE #> 15973  999 0.6754048 0.129106649  fv Log-Normal        Cox, Gamma    FALSE #> 15989 1000 0.5817786 0.112687286  fv Log-Normal        Cox, Gamma    FALSE #> 6        1 0.7573628 0.123506225  fv Log-Normal   Cox, Log-Normal    FALSE #> 22       2 0.6405703 0.151148609  fv Log-Normal   Cox, Log-Normal    FALSE #> 38       3 0.8261367 0.185927234  fv Log-Normal   Cox, Log-Normal    FALSE #> 54       4 0.6143026 0.132920004  fv Log-Normal   Cox, Log-Normal    FALSE #> 70       5 1.0036278 0.198158194  fv Log-Normal   Cox, Log-Normal    FALSE #> 86       6 0.8832715 0.168543121  fv Log-Normal   Cox, Log-Normal    FALSE #> 102      7 0.5928196 0.100287978  fv Log-Normal   Cox, Log-Normal    FALSE #> 118      8 0.8252806 0.180131613  fv Log-Normal   Cox, Log-Normal    FALSE #> 134      9 0.7244461 0.143635393  fv Log-Normal   Cox, Log-Normal    FALSE #> 150     10 1.0102669 0.202207973  fv Log-Normal   Cox, Log-Normal    FALSE #> 166     11 0.9143155 0.184227624  fv Log-Normal   Cox, Log-Normal    FALSE #> 182     12 0.5534246 0.104169695  fv Log-Normal   Cox, Log-Normal    FALSE #> 198     13 0.8283860 0.166449749  fv Log-Normal   Cox, Log-Normal    FALSE #> 214     14 0.8115641 0.147107977  fv Log-Normal   Cox, Log-Normal    FALSE #> 230     15 0.7390334 0.149549271  fv Log-Normal   Cox, Log-Normal    FALSE #> 246     16 0.5808222 0.137956200  fv Log-Normal   Cox, Log-Normal    FALSE #> 262     17 0.6452196 0.146194236  fv Log-Normal   Cox, Log-Normal    FALSE #> 278     18 0.8714554 0.169853265  fv Log-Normal   Cox, Log-Normal    FALSE #> 294     19 0.9410003 0.159312483  fv Log-Normal   Cox, Log-Normal    FALSE #> 310     20 0.6101011 0.120280145  fv Log-Normal   Cox, Log-Normal    FALSE #> 326     21 0.7051458 0.143022121  fv Log-Normal   Cox, Log-Normal    FALSE #> 342     22 0.5999060 0.090970833  fv Log-Normal   Cox, Log-Normal    FALSE #> 358     23 0.8708236 0.203636912  fv Log-Normal   Cox, Log-Normal    FALSE #> 374     24 0.8089626 0.168542382  fv Log-Normal   Cox, Log-Normal    FALSE #> 390     25 0.6228305 0.119304963  fv Log-Normal   Cox, Log-Normal    FALSE #> 406     26 0.7537106 0.142965921  fv Log-Normal   Cox, Log-Normal    FALSE #> 422     27 0.5366948 0.165486396  fv Log-Normal   Cox, Log-Normal    FALSE #> 438     28 0.7237506 0.149495788  fv Log-Normal   Cox, Log-Normal    FALSE #> 454     29 1.0748691 0.171233165  fv Log-Normal   Cox, Log-Normal    FALSE #> 470     30 0.7213200 0.196299621  fv Log-Normal   Cox, Log-Normal    FALSE #> 486     31 0.5593267 0.126828054  fv Log-Normal   Cox, Log-Normal    FALSE #> 502     32 0.5324768 0.090967716  fv Log-Normal   Cox, Log-Normal    FALSE #> 518     33 0.7693620 0.147380984  fv Log-Normal   Cox, Log-Normal    FALSE #> 534     34 0.9152415 0.206375212  fv Log-Normal   Cox, Log-Normal    FALSE #> 550     35 0.5246976 0.132009450  fv Log-Normal   Cox, Log-Normal    FALSE #> 566     36 0.5188294 0.102537117  fv Log-Normal   Cox, Log-Normal    FALSE #> 582     37 0.7011186 0.157272513  fv Log-Normal   Cox, Log-Normal    FALSE #> 598     38 0.6353909 0.145388120  fv Log-Normal   Cox, Log-Normal    FALSE #> 614     39 0.8001182 0.162578217  fv Log-Normal   Cox, Log-Normal    FALSE #> 630     40 0.5711178 0.160784364  fv Log-Normal   Cox, Log-Normal    FALSE #> 646     41 0.8319567 0.168130783  fv Log-Normal   Cox, Log-Normal    FALSE #> 662     42 0.5614636 0.119677372  fv Log-Normal   Cox, Log-Normal    FALSE #> 678     43 0.5634340 0.106012887  fv Log-Normal   Cox, Log-Normal    FALSE #> 694     44 0.7924587 0.144458133  fv Log-Normal   Cox, Log-Normal    FALSE #> 710     45 0.6313241 0.120340182  fv Log-Normal   Cox, Log-Normal    FALSE #> 726     46 0.3400322 0.055945672  fv Log-Normal   Cox, Log-Normal    FALSE #> 742     47 0.9526428 0.199570335  fv Log-Normal   Cox, Log-Normal    FALSE #> 758     48 0.8841695 0.209442515  fv Log-Normal   Cox, Log-Normal    FALSE #> 774     49 0.9679034 0.166504814  fv Log-Normal   Cox, Log-Normal    FALSE #> 790     50 0.6036607 0.119569376  fv Log-Normal   Cox, Log-Normal    FALSE #> 806     51 0.8862827 0.155150877  fv Log-Normal   Cox, Log-Normal    FALSE #> 822     52 0.5297618 0.099447197  fv Log-Normal   Cox, Log-Normal    FALSE #> 838     53 0.9292767 0.157610779  fv Log-Normal   Cox, Log-Normal    FALSE #> 854     54 0.7239010 0.141347724  fv Log-Normal   Cox, Log-Normal    FALSE #> 870     55 0.9331984 0.171379276  fv Log-Normal   Cox, Log-Normal    FALSE #> 886     56 0.7706847 0.175186290  fv Log-Normal   Cox, Log-Normal    FALSE #> 902     57 0.9189265 0.207804687  fv Log-Normal   Cox, Log-Normal    FALSE #> 918     58 0.7658154 0.166165565  fv Log-Normal   Cox, Log-Normal    FALSE #> 934     59 0.7182062 0.124324102  fv Log-Normal   Cox, Log-Normal    FALSE #> 950     60 1.0041047 0.255917467  fv Log-Normal   Cox, Log-Normal     TRUE #> 966     61 0.7553592 0.164985154  fv Log-Normal   Cox, Log-Normal    FALSE #> 982     62 0.6225567 0.137396308  fv Log-Normal   Cox, Log-Normal    FALSE #> 998     63 0.8218612 0.151697592  fv Log-Normal   Cox, Log-Normal    FALSE #> 1014    64 0.7358860 0.131559640  fv Log-Normal   Cox, Log-Normal    FALSE #> 1030    65 0.9223297 0.240231970  fv Log-Normal   Cox, Log-Normal     TRUE #> 1046    66 0.6545818 0.131376390  fv Log-Normal   Cox, Log-Normal    FALSE #> 1062    67 0.6277202 0.131711521  fv Log-Normal   Cox, Log-Normal    FALSE #> 1078    68 0.5256708 0.115778396  fv Log-Normal   Cox, Log-Normal    FALSE #> 1094    69 0.8150341 0.153682813  fv Log-Normal   Cox, Log-Normal    FALSE #> 1110    70 0.7740717 0.131663013  fv Log-Normal   Cox, Log-Normal    FALSE #> 1126    71 1.0082462 0.227978478  fv Log-Normal   Cox, Log-Normal    FALSE #> 1142    72 0.6084139 0.122907751  fv Log-Normal   Cox, Log-Normal    FALSE #> 1158    73 0.7363271 0.136694735  fv Log-Normal   Cox, Log-Normal    FALSE #> 1174    74 0.4269599 0.099018016  fv Log-Normal   Cox, Log-Normal    FALSE #> 1190    75 0.7249021 0.145933489  fv Log-Normal   Cox, Log-Normal    FALSE #> 1206    76 0.6560751 0.124898132  fv Log-Normal   Cox, Log-Normal    FALSE #> 1222    77 0.8511698 0.197171406  fv Log-Normal   Cox, Log-Normal    FALSE #> 1238    78 0.7871053 0.166915910  fv Log-Normal   Cox, Log-Normal    FALSE #> 1254    79 1.0822921 0.209965236  fv Log-Normal   Cox, Log-Normal    FALSE #> 1270    80 0.5922208 0.101102935  fv Log-Normal   Cox, Log-Normal    FALSE #> 1286    81 1.0111710 0.155662408  fv Log-Normal   Cox, Log-Normal    FALSE #> 1302    82 0.6914727 0.112813615  fv Log-Normal   Cox, Log-Normal    FALSE #> 1318    83 0.8092839 0.153960210  fv Log-Normal   Cox, Log-Normal    FALSE #> 1334    84 0.6559520 0.132512452  fv Log-Normal   Cox, Log-Normal    FALSE #> 1350    85 0.6577962 0.171457580  fv Log-Normal   Cox, Log-Normal    FALSE #> 1366    86 0.5651294 0.146528647  fv Log-Normal   Cox, Log-Normal    FALSE #> 1382    87 0.7661226 0.160460673  fv Log-Normal   Cox, Log-Normal    FALSE #> 1398    88 0.7721346 0.178271337  fv Log-Normal   Cox, Log-Normal    FALSE #> 1414    89 1.0368109 0.213632342  fv Log-Normal   Cox, Log-Normal    FALSE #> 1430    90 0.8168601 0.156924329  fv Log-Normal   Cox, Log-Normal    FALSE #> 1446    91 0.9053362 0.158323513  fv Log-Normal   Cox, Log-Normal    FALSE #> 1462    92 0.8835783 0.208147013  fv Log-Normal   Cox, Log-Normal    FALSE #> 1478    93 0.6132071 0.113008294  fv Log-Normal   Cox, Log-Normal    FALSE #> 1494    94 0.8483006 0.176707967  fv Log-Normal   Cox, Log-Normal    FALSE #> 1510    95 0.6763772 0.139840226  fv Log-Normal   Cox, Log-Normal    FALSE #> 1526    96 0.5777829 0.104392446  fv Log-Normal   Cox, Log-Normal    FALSE #> 1542    97 0.8161674 0.168581778  fv Log-Normal   Cox, Log-Normal    FALSE #> 1558    98 0.4622867 0.077274220  fv Log-Normal   Cox, Log-Normal    FALSE #> 1574    99 0.9279581 0.217300732  fv Log-Normal   Cox, Log-Normal    FALSE #> 1590   100 0.6855048 0.169304914  fv Log-Normal   Cox, Log-Normal    FALSE #> 1606   101 0.6455828 0.111943749  fv Log-Normal   Cox, Log-Normal    FALSE #> 1622   102 0.4964866 0.090284117  fv Log-Normal   Cox, Log-Normal    FALSE #> 1638   103 0.7884297 0.140191610  fv Log-Normal   Cox, Log-Normal    FALSE #> 1654   104 0.7372374 0.160504976  fv Log-Normal   Cox, Log-Normal    FALSE #> 1670   105 0.4689447 0.130167559  fv Log-Normal   Cox, Log-Normal    FALSE #> 1686   106 0.6774750 0.142381935  fv Log-Normal   Cox, Log-Normal    FALSE #> 1702   107 0.8642295 0.176000808  fv Log-Normal   Cox, Log-Normal    FALSE #> 1718   108 0.7159932 0.164105206  fv Log-Normal   Cox, Log-Normal    FALSE #> 1734   109 0.9263322 0.205073657  fv Log-Normal   Cox, Log-Normal    FALSE #> 1750   110 0.9255388 0.203254399  fv Log-Normal   Cox, Log-Normal    FALSE #> 1766   111 0.6391791 0.151025676  fv Log-Normal   Cox, Log-Normal    FALSE #> 1782   112 0.7006322 0.121622711  fv Log-Normal   Cox, Log-Normal    FALSE #> 1798   113 0.8573833 0.120517037  fv Log-Normal   Cox, Log-Normal    FALSE #> 1814   114 0.6713922 0.143109099  fv Log-Normal   Cox, Log-Normal    FALSE #> 1830   115 0.7800116 0.158241038  fv Log-Normal   Cox, Log-Normal    FALSE #> 1846   116 0.7935211 0.143635068  fv Log-Normal   Cox, Log-Normal    FALSE #> 1862   117 0.8402853 0.144118761  fv Log-Normal   Cox, Log-Normal    FALSE #> 1878   118 0.6211441 0.115222597  fv Log-Normal   Cox, Log-Normal    FALSE #> 1894   119 0.5731702 0.104678548  fv Log-Normal   Cox, Log-Normal    FALSE #> 1910   120 0.8207332 0.162722934  fv Log-Normal   Cox, Log-Normal    FALSE #> 1926   121 0.7191754 0.144618775  fv Log-Normal   Cox, Log-Normal    FALSE #> 1942   122 0.5527592 0.153698623  fv Log-Normal   Cox, Log-Normal    FALSE #> 1958   123 0.5289509 0.095546347  fv Log-Normal   Cox, Log-Normal    FALSE #> 1974   124 0.5600358 0.120518423  fv Log-Normal   Cox, Log-Normal    FALSE #> 1990   125 0.5451336 0.088492549  fv Log-Normal   Cox, Log-Normal    FALSE #> 2006   126 1.2150397 0.221438937  fv Log-Normal   Cox, Log-Normal     TRUE #> 2022   127 0.5215282 0.106426631  fv Log-Normal   Cox, Log-Normal    FALSE #> 2038   128 0.5208087 0.101330616  fv Log-Normal   Cox, Log-Normal    FALSE #> 2054   129 0.7158500 0.146716475  fv Log-Normal   Cox, Log-Normal    FALSE #> 2070   130 0.5736312 0.140201893  fv Log-Normal   Cox, Log-Normal    FALSE #> 2086   131 0.6678274 0.113502192  fv Log-Normal   Cox, Log-Normal    FALSE #> 2102   132 0.7954489 0.169093243  fv Log-Normal   Cox, Log-Normal    FALSE #> 2118   133 0.9256333 0.173618373  fv Log-Normal   Cox, Log-Normal    FALSE #> 2134   134 1.0816300 0.168628629  fv Log-Normal   Cox, Log-Normal    FALSE #> 2150   135 0.6646850 0.165230055  fv Log-Normal   Cox, Log-Normal    FALSE #> 2166   136 0.5493449 0.148696582  fv Log-Normal   Cox, Log-Normal    FALSE #> 2182   137 0.5273812 0.117786553  fv Log-Normal   Cox, Log-Normal    FALSE #> 2198   138 0.5253386 0.088599027  fv Log-Normal   Cox, Log-Normal    FALSE #> 2214   139 0.7508027 0.135122381  fv Log-Normal   Cox, Log-Normal    FALSE #> 2230   140 0.8098031 0.141963269  fv Log-Normal   Cox, Log-Normal    FALSE #> 2246   141 0.4369386 0.083891814  fv Log-Normal   Cox, Log-Normal    FALSE #> 2262   142 0.4940935 0.087599059  fv Log-Normal   Cox, Log-Normal    FALSE #> 2278   143 0.5792783 0.101315528  fv Log-Normal   Cox, Log-Normal    FALSE #> 2294   144 0.6762864 0.155722587  fv Log-Normal   Cox, Log-Normal    FALSE #> 2310   145 0.5822286 0.120935529  fv Log-Normal   Cox, Log-Normal    FALSE #> 2326   146 0.7312281 0.136443900  fv Log-Normal   Cox, Log-Normal    FALSE #> 2342   147 0.6361521 0.169644112  fv Log-Normal   Cox, Log-Normal    FALSE #> 2358   148 0.5484598 0.111863218  fv Log-Normal   Cox, Log-Normal    FALSE #> 2374   149 0.4096536 0.100250733  fv Log-Normal   Cox, Log-Normal    FALSE #> 2390   150 0.5619967 0.105650453  fv Log-Normal   Cox, Log-Normal    FALSE #> 2406   151 0.9789970 0.195216476  fv Log-Normal   Cox, Log-Normal    FALSE #> 2422   152 0.7259292 0.151900672  fv Log-Normal   Cox, Log-Normal    FALSE #> 2438   153 0.7965834 0.152245452  fv Log-Normal   Cox, Log-Normal    FALSE #> 2454   154 0.7530393 0.132140632  fv Log-Normal   Cox, Log-Normal    FALSE #> 2470   155 1.0025250 0.232384531  fv Log-Normal   Cox, Log-Normal    FALSE #> 2486   156 0.6533424 0.120684343  fv Log-Normal   Cox, Log-Normal    FALSE #> 2502   157 0.6428468 0.167081803  fv Log-Normal   Cox, Log-Normal    FALSE #> 2518   158 0.6380194 0.127185912  fv Log-Normal   Cox, Log-Normal    FALSE #> 2534   159 0.8212363 0.203723673  fv Log-Normal   Cox, Log-Normal    FALSE #> 2550   160 0.8091504 0.165469968  fv Log-Normal   Cox, Log-Normal    FALSE #> 2566   161 0.9019637 0.169031267  fv Log-Normal   Cox, Log-Normal    FALSE #> 2582   162 1.0323230 0.200155147  fv Log-Normal   Cox, Log-Normal    FALSE #> 2598   163 0.6359122 0.120933159  fv Log-Normal   Cox, Log-Normal    FALSE #> 2614   164 0.6830636 0.149902066  fv Log-Normal   Cox, Log-Normal    FALSE #> 2630   165 0.5514472 0.106974805  fv Log-Normal   Cox, Log-Normal    FALSE #> 2646   166 0.4478951 0.089446434  fv Log-Normal   Cox, Log-Normal    FALSE #> 2662   167 0.7607050 0.130475089  fv Log-Normal   Cox, Log-Normal    FALSE #> 2678   168 0.8939775 0.171724578  fv Log-Normal   Cox, Log-Normal    FALSE #> 2694   169 0.6535068 0.134031000  fv Log-Normal   Cox, Log-Normal    FALSE #> 2710   170 0.7646505 0.136587486  fv Log-Normal   Cox, Log-Normal    FALSE #> 2726   171 0.8427968 0.138307896  fv Log-Normal   Cox, Log-Normal    FALSE #> 2742   172 0.7751922 0.140039170  fv Log-Normal   Cox, Log-Normal    FALSE #> 2758   173 0.7330887 0.134029421  fv Log-Normal   Cox, Log-Normal    FALSE #> 2774   174 0.6091521 0.106460561  fv Log-Normal   Cox, Log-Normal    FALSE #> 2790   175 0.8038532 0.153669430  fv Log-Normal   Cox, Log-Normal    FALSE #> 2806   176 1.0095644 0.198360609  fv Log-Normal   Cox, Log-Normal    FALSE #> 2822   177 0.8252955 0.152377027  fv Log-Normal   Cox, Log-Normal    FALSE #> 2838   178 0.5408288 0.097128672  fv Log-Normal   Cox, Log-Normal    FALSE #> 2854   179 0.9621040 0.157483433  fv Log-Normal   Cox, Log-Normal    FALSE #> 2870   180 0.5787665 0.115056496  fv Log-Normal   Cox, Log-Normal    FALSE #> 2886   181 0.7536706 0.134534082  fv Log-Normal   Cox, Log-Normal    FALSE #> 2902   182 1.2239585 0.231054881  fv Log-Normal   Cox, Log-Normal     TRUE #> 2918   183 0.7538198 0.198686043  fv Log-Normal   Cox, Log-Normal    FALSE #> 2934   184 0.9676200 0.162661310  fv Log-Normal   Cox, Log-Normal    FALSE #> 2950   185 0.8095095 0.154239320  fv Log-Normal   Cox, Log-Normal    FALSE #> 2966   186 0.7963401 0.151409478  fv Log-Normal   Cox, Log-Normal    FALSE #> 2982   187 0.6878139 0.128133229  fv Log-Normal   Cox, Log-Normal    FALSE #> 2998   188 0.8316980 0.199665691  fv Log-Normal   Cox, Log-Normal    FALSE #> 3014   189 0.6992176 0.115061086  fv Log-Normal   Cox, Log-Normal    FALSE #> 3030   190 0.8038076 0.144511600  fv Log-Normal   Cox, Log-Normal    FALSE #> 3046   191 0.7962095 0.180472090  fv Log-Normal   Cox, Log-Normal    FALSE #> 3062   192 0.6544469 0.152934636  fv Log-Normal   Cox, Log-Normal    FALSE #> 3078   193 0.7893740 0.183862164  fv Log-Normal   Cox, Log-Normal    FALSE #> 3094   194 0.9888659 0.175645880  fv Log-Normal   Cox, Log-Normal    FALSE #> 3110   195 0.5870695 0.128305897  fv Log-Normal   Cox, Log-Normal    FALSE #> 3126   196 0.6371292 0.130232476  fv Log-Normal   Cox, Log-Normal    FALSE #> 3142   197 0.6610005 0.111740926  fv Log-Normal   Cox, Log-Normal    FALSE #> 3158   198 0.7978277 0.140662110  fv Log-Normal   Cox, Log-Normal    FALSE #> 3174   199 0.5343989 0.094741806  fv Log-Normal   Cox, Log-Normal    FALSE #> 3190   200 0.6102206 0.130221390  fv Log-Normal   Cox, Log-Normal    FALSE #> 3206   201 0.8895148 0.164670932  fv Log-Normal   Cox, Log-Normal    FALSE #> 3222   202 0.7229980 0.120155652  fv Log-Normal   Cox, Log-Normal    FALSE #> 3238   203 0.6368252 0.115279152  fv Log-Normal   Cox, Log-Normal    FALSE #> 3254   204 0.6809315 0.138454115  fv Log-Normal   Cox, Log-Normal    FALSE #> 3270   205 0.6617769 0.130662589  fv Log-Normal   Cox, Log-Normal    FALSE #> 3286   206 0.7916678 0.146803021  fv Log-Normal   Cox, Log-Normal    FALSE #> 3302   207 0.8047997 0.205254562  fv Log-Normal   Cox, Log-Normal    FALSE #> 3318   208 1.0690480 0.176315972  fv Log-Normal   Cox, Log-Normal    FALSE #> 3334   209 0.6734025 0.157675845  fv Log-Normal   Cox, Log-Normal    FALSE #> 3350   210 0.7235119 0.168335407  fv Log-Normal   Cox, Log-Normal    FALSE #> 3366   211 0.8209679 0.150541551  fv Log-Normal   Cox, Log-Normal    FALSE #> 3382   212 0.8093963 0.164234906  fv Log-Normal   Cox, Log-Normal    FALSE #> 3398   213 0.6197138 0.117369296  fv Log-Normal   Cox, Log-Normal    FALSE #> 3414   214 0.6649361 0.120661018  fv Log-Normal   Cox, Log-Normal    FALSE #> 3430   215 0.6650857 0.179625366  fv Log-Normal   Cox, Log-Normal    FALSE #> 3446   216 0.9689108 0.174717968  fv Log-Normal   Cox, Log-Normal    FALSE #> 3462   217 0.7612506 0.147631973  fv Log-Normal   Cox, Log-Normal    FALSE #> 3478   218 0.5926323 0.153430759  fv Log-Normal   Cox, Log-Normal    FALSE #> 3494   219 0.8441365 0.191720259  fv Log-Normal   Cox, Log-Normal    FALSE #> 3510   220 0.9102425 0.169208023  fv Log-Normal   Cox, Log-Normal    FALSE #> 3526   221 0.6440419 0.169991151  fv Log-Normal   Cox, Log-Normal    FALSE #> 3542   222 0.3699244 0.073773612  fv Log-Normal   Cox, Log-Normal    FALSE #> 3558   223 0.5477821 0.112031749  fv Log-Normal   Cox, Log-Normal    FALSE #> 3574   224 0.5942285 0.107253851  fv Log-Normal   Cox, Log-Normal    FALSE #> 3590   225 0.8208106 0.157270676  fv Log-Normal   Cox, Log-Normal    FALSE #> 3606   226 1.0721837 0.179757807  fv Log-Normal   Cox, Log-Normal    FALSE #> 3622   227 0.7651791 0.135412199  fv Log-Normal   Cox, Log-Normal    FALSE #> 3638   228 0.8680490 0.143223630  fv Log-Normal   Cox, Log-Normal    FALSE #> 3654   229 0.4073158 0.083161888  fv Log-Normal   Cox, Log-Normal    FALSE #> 3670   230 0.6139439 0.120049198  fv Log-Normal   Cox, Log-Normal    FALSE #> 3686   231 0.6567719 0.124099366  fv Log-Normal   Cox, Log-Normal    FALSE #> 3702   232 0.9446119 0.189529640  fv Log-Normal   Cox, Log-Normal    FALSE #> 3718   233 0.9526530 0.209694354  fv Log-Normal   Cox, Log-Normal    FALSE #> 3734   234 0.9358169 0.188575345  fv Log-Normal   Cox, Log-Normal    FALSE #> 3750   235 0.5533697 0.097841887  fv Log-Normal   Cox, Log-Normal    FALSE #> 3766   236 0.6345935 0.120180217  fv Log-Normal   Cox, Log-Normal    FALSE #> 3782   237 0.5440302 0.109896985  fv Log-Normal   Cox, Log-Normal    FALSE #> 3798   238 0.8898235 0.229632108  fv Log-Normal   Cox, Log-Normal    FALSE #> 3814   239 0.9262859 0.200846435  fv Log-Normal   Cox, Log-Normal    FALSE #> 3830   240 0.6338872 0.129524301  fv Log-Normal   Cox, Log-Normal    FALSE #> 3846   241 0.7667705 0.153378360  fv Log-Normal   Cox, Log-Normal    FALSE #> 3862   242 0.5466475 0.100527491  fv Log-Normal   Cox, Log-Normal    FALSE #> 3878   243 0.6728653 0.123466796  fv Log-Normal   Cox, Log-Normal    FALSE #> 3894   244 0.6107308 0.139143285  fv Log-Normal   Cox, Log-Normal    FALSE #> 3910   245 0.4997340 0.111627420  fv Log-Normal   Cox, Log-Normal    FALSE #> 3926   246 0.7877534 0.194794439  fv Log-Normal   Cox, Log-Normal    FALSE #> 3942   247 0.6585011 0.152234917  fv Log-Normal   Cox, Log-Normal    FALSE #> 3958   248 1.1751511 0.286449350  fv Log-Normal   Cox, Log-Normal     TRUE #> 3974   249 0.5939856 0.117058074  fv Log-Normal   Cox, Log-Normal    FALSE #> 3990   250 0.7479317 0.166505164  fv Log-Normal   Cox, Log-Normal    FALSE #> 4006   251 0.6258817 0.112068474  fv Log-Normal   Cox, Log-Normal    FALSE #> 4022   252 0.4768019 0.119359450  fv Log-Normal   Cox, Log-Normal    FALSE #> 4038   253 0.8642953 0.190101155  fv Log-Normal   Cox, Log-Normal    FALSE #> 4054   254 0.7457473 0.159020740  fv Log-Normal   Cox, Log-Normal    FALSE #> 4070   255 0.9277065 0.230633805  fv Log-Normal   Cox, Log-Normal    FALSE #> 4086   256 0.8557776 0.195869085  fv Log-Normal   Cox, Log-Normal    FALSE #> 4102   257 0.8342419 0.124293996  fv Log-Normal   Cox, Log-Normal    FALSE #> 4118   258 0.4166917 0.091790350  fv Log-Normal   Cox, Log-Normal    FALSE #> 4134   259 0.6658868 0.122476181  fv Log-Normal   Cox, Log-Normal    FALSE #> 4150   260 0.6874868 0.138634719  fv Log-Normal   Cox, Log-Normal    FALSE #> 4166   261 0.8838488 0.152030166  fv Log-Normal   Cox, Log-Normal    FALSE #> 4182   262 0.6874792 0.132166589  fv Log-Normal   Cox, Log-Normal    FALSE #> 4198   263 0.8748474 0.168551544  fv Log-Normal   Cox, Log-Normal    FALSE #> 4214   264 0.7949965 0.167523004  fv Log-Normal   Cox, Log-Normal    FALSE #> 4230   265 0.6229840 0.104494211  fv Log-Normal   Cox, Log-Normal    FALSE #> 4246   266 0.6632234 0.135646780  fv Log-Normal   Cox, Log-Normal    FALSE #> 4262   267 0.6158842 0.130400568  fv Log-Normal   Cox, Log-Normal    FALSE #> 4278   268 0.9506333 0.175878947  fv Log-Normal   Cox, Log-Normal    FALSE #> 4294   269 0.6188439 0.130825645  fv Log-Normal   Cox, Log-Normal    FALSE #> 4310   270 0.6262115 0.114392203  fv Log-Normal   Cox, Log-Normal    FALSE #> 4326   271 0.7801412 0.198342003  fv Log-Normal   Cox, Log-Normal    FALSE #> 4342   272 0.5658894 0.105200138  fv Log-Normal   Cox, Log-Normal    FALSE #> 4358   273 0.7581958 0.155271956  fv Log-Normal   Cox, Log-Normal    FALSE #> 4374   274 0.7608956 0.184496710  fv Log-Normal   Cox, Log-Normal    FALSE #> 4390   275 0.6392780 0.170823574  fv Log-Normal   Cox, Log-Normal    FALSE #> 4406   276 0.7882949 0.154743052  fv Log-Normal   Cox, Log-Normal    FALSE #> 4422   277 0.7194733 0.150653839  fv Log-Normal   Cox, Log-Normal    FALSE #> 4438   278 0.6262877 0.146135300  fv Log-Normal   Cox, Log-Normal    FALSE #> 4454   279 0.8160827 0.161699463  fv Log-Normal   Cox, Log-Normal    FALSE #> 4470   280 0.8380508 0.165760210  fv Log-Normal   Cox, Log-Normal    FALSE #> 4486   281 0.7250819 0.136678134  fv Log-Normal   Cox, Log-Normal    FALSE #> 4502   282 0.6543630 0.124834778  fv Log-Normal   Cox, Log-Normal    FALSE #> 4518   283 0.8861316 0.181607406  fv Log-Normal   Cox, Log-Normal    FALSE #> 4534   284 0.6234693 0.121773534  fv Log-Normal   Cox, Log-Normal    FALSE #> 4550   285 0.7075084 0.140506363  fv Log-Normal   Cox, Log-Normal    FALSE #> 4566   286 0.6991377 0.141637828  fv Log-Normal   Cox, Log-Normal    FALSE #> 4582   287 0.5969511 0.095232884  fv Log-Normal   Cox, Log-Normal    FALSE #> 4598   288 0.6185630 0.128807253  fv Log-Normal   Cox, Log-Normal    FALSE #> 4614   289 0.6932102 0.126244042  fv Log-Normal   Cox, Log-Normal    FALSE #> 4630   290 0.6795473 0.133309208  fv Log-Normal   Cox, Log-Normal    FALSE #> 4646   291 0.7658600 0.125787549  fv Log-Normal   Cox, Log-Normal    FALSE #> 4662   292 0.6655638 0.182337657  fv Log-Normal   Cox, Log-Normal    FALSE #> 4678   293 0.6811121 0.097619440  fv Log-Normal   Cox, Log-Normal    FALSE #> 4694   294 0.7341433 0.126424230  fv Log-Normal   Cox, Log-Normal    FALSE #> 4710   295 0.6397064 0.131345588  fv Log-Normal   Cox, Log-Normal    FALSE #> 4726   296 0.8036840 0.153632947  fv Log-Normal   Cox, Log-Normal    FALSE #> 4742   297 0.4156726 0.078965945  fv Log-Normal   Cox, Log-Normal    FALSE #> 4758   298 0.6992210 0.122399735  fv Log-Normal   Cox, Log-Normal    FALSE #> 4774   299 0.7895367 0.126931179  fv Log-Normal   Cox, Log-Normal    FALSE #> 4790   300 0.6389342 0.119908849  fv Log-Normal   Cox, Log-Normal    FALSE #> 4806   301 1.0721887 0.198275473  fv Log-Normal   Cox, Log-Normal    FALSE #> 4822   302 0.7313978 0.168882249  fv Log-Normal   Cox, Log-Normal    FALSE #> 4838   303 0.6443221 0.103189570  fv Log-Normal   Cox, Log-Normal    FALSE #> 4854   304 0.6883138 0.109793240  fv Log-Normal   Cox, Log-Normal    FALSE #> 4870   305 0.8457392 0.150880524  fv Log-Normal   Cox, Log-Normal    FALSE #> 4886   306 0.5848402 0.114151600  fv Log-Normal   Cox, Log-Normal    FALSE #> 4902   307 0.6233021 0.109508346  fv Log-Normal   Cox, Log-Normal    FALSE #> 4918   308 0.7261324 0.145349003  fv Log-Normal   Cox, Log-Normal    FALSE #> 4934   309 0.6156243 0.121821259  fv Log-Normal   Cox, Log-Normal    FALSE #> 4950   310 0.6653635 0.156392201  fv Log-Normal   Cox, Log-Normal    FALSE #> 4966   311 0.8914660 0.154933778  fv Log-Normal   Cox, Log-Normal    FALSE #> 4982   312 0.7331430 0.136281844  fv Log-Normal   Cox, Log-Normal    FALSE #> 4998   313 0.5088109 0.113177945  fv Log-Normal   Cox, Log-Normal    FALSE #> 5014   314 0.6998085 0.147494090  fv Log-Normal   Cox, Log-Normal    FALSE #> 5030   315 0.6788598 0.118669605  fv Log-Normal   Cox, Log-Normal    FALSE #> 5046   316 0.5935425 0.134907825  fv Log-Normal   Cox, Log-Normal    FALSE #> 5062   317 0.8622104 0.132961863  fv Log-Normal   Cox, Log-Normal    FALSE #> 5078   318 0.5477029 0.159243237  fv Log-Normal   Cox, Log-Normal    FALSE #> 5094   319 0.7504793 0.175775213  fv Log-Normal   Cox, Log-Normal    FALSE #> 5110   320 0.8374628 0.142534760  fv Log-Normal   Cox, Log-Normal    FALSE #> 5126   321 0.9088461 0.199125271  fv Log-Normal   Cox, Log-Normal    FALSE #> 5142   322 0.5883454 0.138882190  fv Log-Normal   Cox, Log-Normal    FALSE #> 5158   323 0.8097169 0.145185115  fv Log-Normal   Cox, Log-Normal    FALSE #> 5174   324 0.5327484 0.097126455  fv Log-Normal   Cox, Log-Normal    FALSE #> 5190   325 0.6209278 0.123937040  fv Log-Normal   Cox, Log-Normal    FALSE #> 5206   326 1.0813592 0.260419864  fv Log-Normal   Cox, Log-Normal     TRUE #> 5222   327 0.5318052 0.101090195  fv Log-Normal   Cox, Log-Normal    FALSE #> 5238   328 0.7967825 0.152965020  fv Log-Normal   Cox, Log-Normal    FALSE #> 5254   329 0.6356635 0.133230934  fv Log-Normal   Cox, Log-Normal    FALSE #> 5270   330 0.5814746 0.143686266  fv Log-Normal   Cox, Log-Normal    FALSE #> 5286   331 0.9345516 0.181733555  fv Log-Normal   Cox, Log-Normal    FALSE #> 5302   332 0.6891797 0.105822208  fv Log-Normal   Cox, Log-Normal    FALSE #> 5318   333 0.5057585 0.107033611  fv Log-Normal   Cox, Log-Normal    FALSE #> 5334   334 0.5523392 0.103592158  fv Log-Normal   Cox, Log-Normal    FALSE #> 5350   335 0.5487718 0.096238261  fv Log-Normal   Cox, Log-Normal    FALSE #> 5366   336 0.7938662 0.153381827  fv Log-Normal   Cox, Log-Normal    FALSE #> 5382   337 0.6558362 0.122412197  fv Log-Normal   Cox, Log-Normal    FALSE #> 5398   338 0.7716627 0.133216328  fv Log-Normal   Cox, Log-Normal    FALSE #> 5414   339 0.5946563 0.112089158  fv Log-Normal   Cox, Log-Normal    FALSE #> 5430   340 0.9258154 0.173020079  fv Log-Normal   Cox, Log-Normal    FALSE #> 5446   341 0.6554285 0.188998496  fv Log-Normal   Cox, Log-Normal    FALSE #> 5462   342 0.5903363 0.103543007  fv Log-Normal   Cox, Log-Normal    FALSE #> 5478   343 0.5801205 0.105220570  fv Log-Normal   Cox, Log-Normal    FALSE #> 5494   344 0.6781217 0.139143373  fv Log-Normal   Cox, Log-Normal    FALSE #> 5510   345 0.6961196 0.128199872  fv Log-Normal   Cox, Log-Normal    FALSE #> 5526   346 0.5227107 0.129366265  fv Log-Normal   Cox, Log-Normal    FALSE #> 5542   347 0.6271774 0.116481432  fv Log-Normal   Cox, Log-Normal    FALSE #> 5558   348 0.6129095 0.127848791  fv Log-Normal   Cox, Log-Normal    FALSE #> 5574   349 0.7061869 0.130911383  fv Log-Normal   Cox, Log-Normal    FALSE #> 5590   350 0.7924372 0.140354741  fv Log-Normal   Cox, Log-Normal    FALSE #> 5606   351 0.6081129 0.110915071  fv Log-Normal   Cox, Log-Normal    FALSE #> 5622   352 0.8113829 0.207987891  fv Log-Normal   Cox, Log-Normal    FALSE #> 5638   353 0.7123554 0.148029613  fv Log-Normal   Cox, Log-Normal    FALSE #> 5654   354 0.6733492 0.120250828  fv Log-Normal   Cox, Log-Normal    FALSE #> 5670   355 0.7413575 0.117491541  fv Log-Normal   Cox, Log-Normal    FALSE #> 5686   356 0.6356097 0.136723847  fv Log-Normal   Cox, Log-Normal    FALSE #> 5702   357 0.9077288 0.201687015  fv Log-Normal   Cox, Log-Normal    FALSE #> 5718   358 0.6760533 0.114786462  fv Log-Normal   Cox, Log-Normal    FALSE #> 5734   359 0.5219090 0.108201573  fv Log-Normal   Cox, Log-Normal    FALSE #> 5750   360 0.6815372 0.124079334  fv Log-Normal   Cox, Log-Normal    FALSE #> 5766   361 0.6430326 0.131155722  fv Log-Normal   Cox, Log-Normal    FALSE #> 5782   362 0.6311695 0.139240974  fv Log-Normal   Cox, Log-Normal    FALSE #> 5798   363 0.6177379 0.136118552  fv Log-Normal   Cox, Log-Normal    FALSE #> 5814   364 0.8976105 0.177776665  fv Log-Normal   Cox, Log-Normal    FALSE #> 5830   365 0.8077777 0.181160990  fv Log-Normal   Cox, Log-Normal    FALSE #> 5846   366 0.6859270 0.163243165  fv Log-Normal   Cox, Log-Normal    FALSE #> 5862   367 0.8039909 0.173052304  fv Log-Normal   Cox, Log-Normal    FALSE #> 5878   368 0.9904820 0.206693114  fv Log-Normal   Cox, Log-Normal    FALSE #> 5894   369 0.6043360 0.105582542  fv Log-Normal   Cox, Log-Normal    FALSE #> 5910   370 0.7742858 0.160759545  fv Log-Normal   Cox, Log-Normal    FALSE #> 5926   371 0.6578030 0.151843773  fv Log-Normal   Cox, Log-Normal    FALSE #> 5942   372 0.5007659 0.102818471  fv Log-Normal   Cox, Log-Normal    FALSE #> 5958   373 1.1151799 0.262411215  fv Log-Normal   Cox, Log-Normal     TRUE #> 5974   374 0.5438101 0.110074187  fv Log-Normal   Cox, Log-Normal    FALSE #> 5990   375 0.6580755 0.148102054  fv Log-Normal   Cox, Log-Normal    FALSE #> 6006   376 0.7039508 0.155302979  fv Log-Normal   Cox, Log-Normal    FALSE #> 6022   377 0.5414599 0.090535372  fv Log-Normal   Cox, Log-Normal    FALSE #> 6038   378 0.6197608 0.130994750  fv Log-Normal   Cox, Log-Normal    FALSE #> 6054   379 0.5067599 0.084260679  fv Log-Normal   Cox, Log-Normal    FALSE #> 6070   380 0.6564966 0.109664243  fv Log-Normal   Cox, Log-Normal    FALSE #> 6086   381 0.8540702 0.184255358  fv Log-Normal   Cox, Log-Normal    FALSE #> 6102   382 0.7318377 0.153279580  fv Log-Normal   Cox, Log-Normal    FALSE #> 6118   383 0.7133871 0.142053344  fv Log-Normal   Cox, Log-Normal    FALSE #> 6134   384 0.7092118 0.136370965  fv Log-Normal   Cox, Log-Normal    FALSE #> 6150   385 0.5917005 0.147258323  fv Log-Normal   Cox, Log-Normal    FALSE #> 6166   386 0.9153763 0.229498321  fv Log-Normal   Cox, Log-Normal    FALSE #> 6182   387 0.5871767 0.123612345  fv Log-Normal   Cox, Log-Normal    FALSE #> 6198   388 0.9291695 0.122982818  fv Log-Normal   Cox, Log-Normal    FALSE #> 6214   389 0.8058096 0.150461962  fv Log-Normal   Cox, Log-Normal    FALSE #> 6230   390 0.6773542 0.151801071  fv Log-Normal   Cox, Log-Normal    FALSE #> 6246   391 0.8182120 0.134244623  fv Log-Normal   Cox, Log-Normal    FALSE #> 6262   392 0.6261693 0.144322919  fv Log-Normal   Cox, Log-Normal    FALSE #> 6278   393 0.5608767 0.087397909  fv Log-Normal   Cox, Log-Normal    FALSE #> 6294   394 0.8782935 0.189730141  fv Log-Normal   Cox, Log-Normal    FALSE #> 6310   395 0.7611073 0.155530156  fv Log-Normal   Cox, Log-Normal    FALSE #> 6326   396 1.0179662 0.186941257  fv Log-Normal   Cox, Log-Normal    FALSE #> 6342   397 0.7116466 0.138074147  fv Log-Normal   Cox, Log-Normal    FALSE #> 6358   398 0.6727192 0.112933246  fv Log-Normal   Cox, Log-Normal    FALSE #> 6374   399 0.8183800 0.153200171  fv Log-Normal   Cox, Log-Normal    FALSE #> 6390   400 0.5367667 0.115885505  fv Log-Normal   Cox, Log-Normal    FALSE #> 6406   401 0.6126184 0.116844582  fv Log-Normal   Cox, Log-Normal    FALSE #> 6422   402 0.5449950 0.165808259  fv Log-Normal   Cox, Log-Normal    FALSE #> 6438   403 0.6208233 0.124821022  fv Log-Normal   Cox, Log-Normal    FALSE #> 6454   404 0.5770424 0.151038157  fv Log-Normal   Cox, Log-Normal    FALSE #> 6470   405 0.4747106 0.100298660  fv Log-Normal   Cox, Log-Normal    FALSE #> 6486   406 0.7328698 0.142571527  fv Log-Normal   Cox, Log-Normal    FALSE #> 6502   407 0.7521805 0.168896665  fv Log-Normal   Cox, Log-Normal    FALSE #> 6518   408 0.4939505 0.126659415  fv Log-Normal   Cox, Log-Normal    FALSE #> 6534   409 0.7342496 0.137209818  fv Log-Normal   Cox, Log-Normal    FALSE #> 6550   410 0.7711058 0.166901809  fv Log-Normal   Cox, Log-Normal    FALSE #> 6566   411 0.6537021 0.158644072  fv Log-Normal   Cox, Log-Normal    FALSE #> 6582   412 0.6641258 0.185779173  fv Log-Normal   Cox, Log-Normal    FALSE #> 6598   413 0.5336693 0.120967307  fv Log-Normal   Cox, Log-Normal    FALSE #> 6614   414 0.8645269 0.156417045  fv Log-Normal   Cox, Log-Normal    FALSE #> 6630   415 1.2669904 0.221355780  fv Log-Normal   Cox, Log-Normal     TRUE #> 6646   416 0.5679880 0.136164326  fv Log-Normal   Cox, Log-Normal    FALSE #> 6662   417 0.5518002 0.097475326  fv Log-Normal   Cox, Log-Normal    FALSE #> 6678   418 0.8899199 0.126041947  fv Log-Normal   Cox, Log-Normal    FALSE #> 6694   419 0.4910310 0.096522319  fv Log-Normal   Cox, Log-Normal    FALSE #> 6710   420 0.7613114 0.168472044  fv Log-Normal   Cox, Log-Normal    FALSE #> 6726   421 0.7927672 0.149403972  fv Log-Normal   Cox, Log-Normal    FALSE #> 6742   422 0.5762327 0.132336946  fv Log-Normal   Cox, Log-Normal    FALSE #> 6758   423 0.5858586 0.109042212  fv Log-Normal   Cox, Log-Normal    FALSE #> 6774   424 0.6812210 0.135407029  fv Log-Normal   Cox, Log-Normal    FALSE #> 6790   425 0.7494056 0.158380464  fv Log-Normal   Cox, Log-Normal    FALSE #> 6806   426 0.8255828 0.167092229  fv Log-Normal   Cox, Log-Normal    FALSE #> 6822   427 0.9580083 0.193525749  fv Log-Normal   Cox, Log-Normal    FALSE #> 6838   428 0.8200189 0.174800466  fv Log-Normal   Cox, Log-Normal    FALSE #> 6854   429 0.7253120 0.138989939  fv Log-Normal   Cox, Log-Normal    FALSE #> 6870   430 0.8015608 0.159246665  fv Log-Normal   Cox, Log-Normal    FALSE #> 6886   431 0.6839649 0.163805863  fv Log-Normal   Cox, Log-Normal    FALSE #> 6902   432 0.8651093 0.182008216  fv Log-Normal   Cox, Log-Normal    FALSE #> 6918   433 0.5920234 0.102567571  fv Log-Normal   Cox, Log-Normal    FALSE #> 6934   434 0.5880071 0.117101961  fv Log-Normal   Cox, Log-Normal    FALSE #> 6950   435 0.4973641 0.107090021  fv Log-Normal   Cox, Log-Normal    FALSE #> 6966   436 0.7631187 0.131617867  fv Log-Normal   Cox, Log-Normal    FALSE #> 6982   437 0.5823778 0.125462900  fv Log-Normal   Cox, Log-Normal    FALSE #> 6998   438 0.8514556 0.152749346  fv Log-Normal   Cox, Log-Normal    FALSE #> 7014   439 0.5976061 0.142466128  fv Log-Normal   Cox, Log-Normal    FALSE #> 7030   440 0.4167886 0.097617508  fv Log-Normal   Cox, Log-Normal    FALSE #> 7046   441 0.5600775 0.113085806  fv Log-Normal   Cox, Log-Normal    FALSE #> 7062   442 0.7506161 0.147798952  fv Log-Normal   Cox, Log-Normal    FALSE #> 7078   443 0.8033583 0.166071013  fv Log-Normal   Cox, Log-Normal    FALSE #> 7094   444 0.8324845 0.192734911  fv Log-Normal   Cox, Log-Normal    FALSE #> 7110   445 0.9003486 0.176256265  fv Log-Normal   Cox, Log-Normal    FALSE #> 7126   446 0.6375473 0.120152949  fv Log-Normal   Cox, Log-Normal    FALSE #> 7142   447 0.8891201 0.168609893  fv Log-Normal   Cox, Log-Normal    FALSE #> 7158   448 0.9157472 0.197688993  fv Log-Normal   Cox, Log-Normal    FALSE #> 7174   449 0.9081860 0.189349612  fv Log-Normal   Cox, Log-Normal    FALSE #> 7190   450 0.7032306 0.140992126  fv Log-Normal   Cox, Log-Normal    FALSE #> 7206   451 0.7939868 0.149065953  fv Log-Normal   Cox, Log-Normal    FALSE #> 7222   452 0.7822568 0.149666090  fv Log-Normal   Cox, Log-Normal    FALSE #> 7238   453 0.6987296 0.135190518  fv Log-Normal   Cox, Log-Normal    FALSE #> 7254   454 0.6802980 0.149217852  fv Log-Normal   Cox, Log-Normal    FALSE #> 7270   455 0.6300706 0.117145542  fv Log-Normal   Cox, Log-Normal    FALSE #> 7286   456 0.4853340 0.098943448  fv Log-Normal   Cox, Log-Normal    FALSE #> 7302   457 0.9159317 0.166991448  fv Log-Normal   Cox, Log-Normal    FALSE #> 7318   458 0.7926127 0.218179833  fv Log-Normal   Cox, Log-Normal    FALSE #> 7334   459 0.9673546 0.239194160  fv Log-Normal   Cox, Log-Normal     TRUE #> 7350   460 0.6824635 0.114496923  fv Log-Normal   Cox, Log-Normal    FALSE #> 7366   461 0.7838993 0.123060287  fv Log-Normal   Cox, Log-Normal    FALSE #> 7382   462 0.7263722 0.136940630  fv Log-Normal   Cox, Log-Normal    FALSE #> 7398   463 0.8725465 0.208727400  fv Log-Normal   Cox, Log-Normal    FALSE #> 7414   464 0.8133746 0.125786465  fv Log-Normal   Cox, Log-Normal    FALSE #> 7430   465 0.8180210 0.162596932  fv Log-Normal   Cox, Log-Normal    FALSE #> 7446   466 0.8447400 0.174373325  fv Log-Normal   Cox, Log-Normal    FALSE #> 7462   467 0.7417616 0.156331232  fv Log-Normal   Cox, Log-Normal    FALSE #> 7478   468 0.9181124 0.152344493  fv Log-Normal   Cox, Log-Normal    FALSE #> 7494   469 0.8086114 0.162584399  fv Log-Normal   Cox, Log-Normal    FALSE #> 7510   470 0.7530716 0.158528182  fv Log-Normal   Cox, Log-Normal    FALSE #> 7526   471 0.6314900 0.146336756  fv Log-Normal   Cox, Log-Normal    FALSE #> 7542   472 0.8683746 0.156186168  fv Log-Normal   Cox, Log-Normal    FALSE #> 7558   473 0.6937239 0.141938343  fv Log-Normal   Cox, Log-Normal    FALSE #> 7574   474 1.0218309 0.201167398  fv Log-Normal   Cox, Log-Normal    FALSE #> 7590   475 0.6337743 0.116592408  fv Log-Normal   Cox, Log-Normal    FALSE #> 7606   476 0.4770815 0.107961700  fv Log-Normal   Cox, Log-Normal    FALSE #> 7622   477 0.5086332 0.109130539  fv Log-Normal   Cox, Log-Normal    FALSE #> 7638   478 0.8075402 0.117965092  fv Log-Normal   Cox, Log-Normal    FALSE #> 7654   479 0.7389806 0.136893016  fv Log-Normal   Cox, Log-Normal    FALSE #> 7670   480 1.0175151 0.199915585  fv Log-Normal   Cox, Log-Normal    FALSE #> 7686   481 1.0192289 0.206087507  fv Log-Normal   Cox, Log-Normal    FALSE #> 7702   482 0.7832508 0.159491148  fv Log-Normal   Cox, Log-Normal    FALSE #> 7718   483 0.9418885 0.220672055  fv Log-Normal   Cox, Log-Normal    FALSE #> 7734   484 0.8962617 0.202093121  fv Log-Normal   Cox, Log-Normal    FALSE #> 7750   485 0.5958992 0.105063175  fv Log-Normal   Cox, Log-Normal    FALSE #> 7766   486 0.4667542 0.102867880  fv Log-Normal   Cox, Log-Normal    FALSE #> 7782   487 0.8900147 0.175007983  fv Log-Normal   Cox, Log-Normal    FALSE #> 7798   488 0.4449524 0.087682549  fv Log-Normal   Cox, Log-Normal    FALSE #> 7814   489 0.8004214 0.186144327  fv Log-Normal   Cox, Log-Normal    FALSE #> 7830   490 0.7127792 0.119173213  fv Log-Normal   Cox, Log-Normal    FALSE #> 7846   491 0.6889070 0.133673254  fv Log-Normal   Cox, Log-Normal    FALSE #> 7862   492 0.5582058 0.086242399  fv Log-Normal   Cox, Log-Normal    FALSE #> 7878   493 1.0663941 0.245806620  fv Log-Normal   Cox, Log-Normal     TRUE #> 7894   494 0.6613066 0.106604021  fv Log-Normal   Cox, Log-Normal    FALSE #> 7910   495 0.8228011 0.118045197  fv Log-Normal   Cox, Log-Normal    FALSE #> 7926   496 1.0887179 0.237339281  fv Log-Normal   Cox, Log-Normal     TRUE #> 7942   497 0.5916038 0.114587057  fv Log-Normal   Cox, Log-Normal    FALSE #> 7958   498 0.6348066 0.135633761  fv Log-Normal   Cox, Log-Normal    FALSE #> 7974   499 0.8889109 0.216181001  fv Log-Normal   Cox, Log-Normal    FALSE #> 7990   500 0.6773264 0.138954096  fv Log-Normal   Cox, Log-Normal    FALSE #> 8006   501 1.3435254 0.291530812  fv Log-Normal   Cox, Log-Normal     TRUE #> 8022   502 0.7736005 0.146718156  fv Log-Normal   Cox, Log-Normal    FALSE #> 8038   503 0.7460948 0.134956945  fv Log-Normal   Cox, Log-Normal    FALSE #> 8054   504 0.8756279 0.159497799  fv Log-Normal   Cox, Log-Normal    FALSE #> 8070   505 0.7539893 0.111108625  fv Log-Normal   Cox, Log-Normal    FALSE #> 8086   506 1.0221922 0.240938697  fv Log-Normal   Cox, Log-Normal     TRUE #> 8102   507 0.7310864 0.114690626  fv Log-Normal   Cox, Log-Normal    FALSE #> 8118   508 0.5378310 0.123741319  fv Log-Normal   Cox, Log-Normal    FALSE #> 8134   509 0.6777937 0.130389895  fv Log-Normal   Cox, Log-Normal    FALSE #> 8150   510 0.6842877 0.138741429  fv Log-Normal   Cox, Log-Normal    FALSE #> 8166   511 0.4603930 0.088394301  fv Log-Normal   Cox, Log-Normal    FALSE #> 8182   512 0.7229525 0.147506273  fv Log-Normal   Cox, Log-Normal    FALSE #> 8198   513 0.8035298 0.149275045  fv Log-Normal   Cox, Log-Normal    FALSE #> 8214   514 0.7179322 0.136809080  fv Log-Normal   Cox, Log-Normal    FALSE #> 8230   515 0.5586526 0.122315382  fv Log-Normal   Cox, Log-Normal    FALSE #> 8246   516 0.7377219 0.143754572  fv Log-Normal   Cox, Log-Normal    FALSE #> 8262   517 0.3667741 0.085169579  fv Log-Normal   Cox, Log-Normal    FALSE #> 8278   518 0.7435838 0.138029022  fv Log-Normal   Cox, Log-Normal    FALSE #> 8294   519 0.7674745 0.150261965  fv Log-Normal   Cox, Log-Normal    FALSE #> 8310   520 0.8003345 0.122407092  fv Log-Normal   Cox, Log-Normal    FALSE #> 8326   521 0.7988626 0.169064785  fv Log-Normal   Cox, Log-Normal    FALSE #> 8342   522 0.5375144 0.095228819  fv Log-Normal   Cox, Log-Normal    FALSE #> 8358   523 0.7667009 0.131558815  fv Log-Normal   Cox, Log-Normal    FALSE #> 8374   524 0.5269024 0.120077784  fv Log-Normal   Cox, Log-Normal    FALSE #> 8390   525 0.7031804 0.154586399  fv Log-Normal   Cox, Log-Normal    FALSE #> 8406   526 0.6061274 0.117091908  fv Log-Normal   Cox, Log-Normal    FALSE #> 8422   527 0.7137822 0.163596077  fv Log-Normal   Cox, Log-Normal    FALSE #> 8438   528 0.9252247 0.189829300  fv Log-Normal   Cox, Log-Normal    FALSE #> 8454   529 0.9342341 0.181406052  fv Log-Normal   Cox, Log-Normal    FALSE #> 8470   530 0.4498170 0.111087235  fv Log-Normal   Cox, Log-Normal    FALSE #> 8486   531 0.9979562 0.213629379  fv Log-Normal   Cox, Log-Normal    FALSE #> 8502   532 0.7223377 0.116231722  fv Log-Normal   Cox, Log-Normal    FALSE #> 8518   533 0.6906718 0.122960600  fv Log-Normal   Cox, Log-Normal    FALSE #> 8534   534 0.7416424 0.148941672  fv Log-Normal   Cox, Log-Normal    FALSE #> 8550   535 0.8626834 0.157323432  fv Log-Normal   Cox, Log-Normal    FALSE #> 8566   536 0.5963041 0.116089213  fv Log-Normal   Cox, Log-Normal    FALSE #> 8582   537 1.2345153 0.237582349  fv Log-Normal   Cox, Log-Normal     TRUE #> 8598   538 0.5063558 0.092401072  fv Log-Normal   Cox, Log-Normal    FALSE #> 8614   539 0.6862567 0.149536685  fv Log-Normal   Cox, Log-Normal    FALSE #> 8630   540 0.6141186 0.114391863  fv Log-Normal   Cox, Log-Normal    FALSE #> 8646   541 0.8968782 0.167673684  fv Log-Normal   Cox, Log-Normal    FALSE #> 8662   542 0.8198767 0.169342183  fv Log-Normal   Cox, Log-Normal    FALSE #> 8678   543 0.7575504 0.148707340  fv Log-Normal   Cox, Log-Normal    FALSE #> 8694   544 0.7617908 0.155859277  fv Log-Normal   Cox, Log-Normal    FALSE #> 8710   545 0.5717824 0.084305835  fv Log-Normal   Cox, Log-Normal    FALSE #> 8726   546 0.9040874 0.167410002  fv Log-Normal   Cox, Log-Normal    FALSE #> 8742   547 0.6870910 0.129415648  fv Log-Normal   Cox, Log-Normal    FALSE #> 8758   548 0.5381865 0.117060922  fv Log-Normal   Cox, Log-Normal    FALSE #> 8774   549 0.8835431 0.179113769  fv Log-Normal   Cox, Log-Normal    FALSE #> 8790   550 0.5208702 0.124333872  fv Log-Normal   Cox, Log-Normal    FALSE #> 8806   551 0.7964585 0.156422129  fv Log-Normal   Cox, Log-Normal    FALSE #> 8822   552 0.7041652 0.128276679  fv Log-Normal   Cox, Log-Normal    FALSE #> 8838   553 0.8459051 0.122339846  fv Log-Normal   Cox, Log-Normal    FALSE #> 8854   554 0.8977503 0.179088453  fv Log-Normal   Cox, Log-Normal    FALSE #> 8870   555 0.8326376 0.128746242  fv Log-Normal   Cox, Log-Normal    FALSE #> 8886   556 0.8753515 0.143451520  fv Log-Normal   Cox, Log-Normal    FALSE #> 8902   557 0.6984218 0.127912102  fv Log-Normal   Cox, Log-Normal    FALSE #> 8918   558 0.6669430 0.112161043  fv Log-Normal   Cox, Log-Normal    FALSE #> 8934   559 0.6132347 0.122896494  fv Log-Normal   Cox, Log-Normal    FALSE #> 8950   560 0.7760753 0.145292156  fv Log-Normal   Cox, Log-Normal    FALSE #> 8966   561 1.2406263 0.221751865  fv Log-Normal   Cox, Log-Normal     TRUE #> 8982   562 0.8951923 0.192853014  fv Log-Normal   Cox, Log-Normal    FALSE #> 8998   563 0.7936453 0.148256364  fv Log-Normal   Cox, Log-Normal    FALSE #> 9014   564 0.6496611 0.154999773  fv Log-Normal   Cox, Log-Normal    FALSE #> 9030   565 0.5558608 0.112968507  fv Log-Normal   Cox, Log-Normal    FALSE #> 9046   566 0.7784225 0.197678997  fv Log-Normal   Cox, Log-Normal    FALSE #> 9062   567 0.7390722 0.134151819  fv Log-Normal   Cox, Log-Normal    FALSE #> 9078   568 0.5370427 0.106409861  fv Log-Normal   Cox, Log-Normal    FALSE #> 9094   569 0.8446977 0.151362680  fv Log-Normal   Cox, Log-Normal    FALSE #> 9110   570 0.5783874 0.154235730  fv Log-Normal   Cox, Log-Normal    FALSE #> 9126   571 0.6980819 0.132611887  fv Log-Normal   Cox, Log-Normal    FALSE #> 9142   572 0.6078955 0.113509666  fv Log-Normal   Cox, Log-Normal    FALSE #> 9158   573 0.6531702 0.123193776  fv Log-Normal   Cox, Log-Normal    FALSE #> 9174   574 0.7369219 0.133697888  fv Log-Normal   Cox, Log-Normal    FALSE #> 9190   575 0.6652456 0.174809549  fv Log-Normal   Cox, Log-Normal    FALSE #> 9206   576 0.7042127 0.184240750  fv Log-Normal   Cox, Log-Normal    FALSE #> 9222   577 0.9058959 0.206369728  fv Log-Normal   Cox, Log-Normal    FALSE #> 9238   578 0.5871046 0.099243005  fv Log-Normal   Cox, Log-Normal    FALSE #> 9254   579 0.6010841 0.132716062  fv Log-Normal   Cox, Log-Normal    FALSE #> 9270   580 0.4971421 0.107766896  fv Log-Normal   Cox, Log-Normal    FALSE #> 9286   581 0.7923715 0.151082100  fv Log-Normal   Cox, Log-Normal    FALSE #> 9302   582 0.7728312 0.153502508  fv Log-Normal   Cox, Log-Normal    FALSE #> 9318   583 1.0323624 0.163822527  fv Log-Normal   Cox, Log-Normal    FALSE #> 9334   584 0.5414420 0.108025677  fv Log-Normal   Cox, Log-Normal    FALSE #> 9350   585 0.7190622 0.114529054  fv Log-Normal   Cox, Log-Normal    FALSE #> 9366   586 0.7455106 0.124365353  fv Log-Normal   Cox, Log-Normal    FALSE #> 9382   587 0.9302355 0.214573938  fv Log-Normal   Cox, Log-Normal    FALSE #> 9398   588 0.5806374 0.109803503  fv Log-Normal   Cox, Log-Normal    FALSE #> 9414   589 0.6039216 0.119344261  fv Log-Normal   Cox, Log-Normal    FALSE #> 9430   590 0.8219766 0.176507665  fv Log-Normal   Cox, Log-Normal    FALSE #> 9446   591 0.8456887 0.166784984  fv Log-Normal   Cox, Log-Normal    FALSE #> 9462   592 0.8298067 0.163691115  fv Log-Normal   Cox, Log-Normal    FALSE #> 9478   593 0.9301881 0.184785185  fv Log-Normal   Cox, Log-Normal    FALSE #> 9494   594 0.7212752 0.124340342  fv Log-Normal   Cox, Log-Normal    FALSE #> 9510   595 0.5431571 0.090258789  fv Log-Normal   Cox, Log-Normal    FALSE #> 9526   596 0.7293813 0.174344234  fv Log-Normal   Cox, Log-Normal    FALSE #> 9542   597 0.6050940 0.111506243  fv Log-Normal   Cox, Log-Normal    FALSE #> 9558   598 1.0673488 0.205896016  fv Log-Normal   Cox, Log-Normal    FALSE #> 9574   599 0.7497517 0.183646091  fv Log-Normal   Cox, Log-Normal    FALSE #> 9590   600 0.5310092 0.109738635  fv Log-Normal   Cox, Log-Normal    FALSE #> 9606   601 1.1622807 0.252214764  fv Log-Normal   Cox, Log-Normal     TRUE #> 9622   602 0.9860745 0.203449964  fv Log-Normal   Cox, Log-Normal    FALSE #> 9638   603 0.4156386 0.069227727  fv Log-Normal   Cox, Log-Normal    FALSE #> 9654   604 0.7547442 0.131357593  fv Log-Normal   Cox, Log-Normal    FALSE #> 9670   605 1.2270888 0.254788035  fv Log-Normal   Cox, Log-Normal     TRUE #> 9686   606 0.6744288 0.140766466  fv Log-Normal   Cox, Log-Normal    FALSE #> 9702   607 0.6089607 0.135399445  fv Log-Normal   Cox, Log-Normal    FALSE #> 9718   608 0.4385750 0.078430090  fv Log-Normal   Cox, Log-Normal    FALSE #> 9734   609 0.8290773 0.146094145  fv Log-Normal   Cox, Log-Normal    FALSE #> 9750   610 0.6340374 0.128702321  fv Log-Normal   Cox, Log-Normal    FALSE #> 9766   611 0.8007515 0.201200477  fv Log-Normal   Cox, Log-Normal    FALSE #> 9782   612 0.5875066 0.117282979  fv Log-Normal   Cox, Log-Normal    FALSE #> 9798   613 0.8175702 0.130135551  fv Log-Normal   Cox, Log-Normal    FALSE #> 9814   614 0.7773840 0.134334791  fv Log-Normal   Cox, Log-Normal    FALSE #> 9830   615 0.8689451 0.145406422  fv Log-Normal   Cox, Log-Normal    FALSE #> 9846   616 0.7820989 0.151533700  fv Log-Normal   Cox, Log-Normal    FALSE #> 9862   617 0.7837638 0.136211673  fv Log-Normal   Cox, Log-Normal    FALSE #> 9878   618 0.6788178 0.142475685  fv Log-Normal   Cox, Log-Normal    FALSE #> 9894   619 0.8183659 0.154788400  fv Log-Normal   Cox, Log-Normal    FALSE #> 9910   620 0.8171046 0.180268515  fv Log-Normal   Cox, Log-Normal    FALSE #> 9926   621 0.5639292 0.107073034  fv Log-Normal   Cox, Log-Normal    FALSE #> 9942   622 0.6314516 0.125356048  fv Log-Normal   Cox, Log-Normal    FALSE #> 9958   623 0.8785102 0.184572000  fv Log-Normal   Cox, Log-Normal    FALSE #> 9974   624 0.5825642 0.140201227  fv Log-Normal   Cox, Log-Normal    FALSE #> 9990   625 0.7614824 0.157638018  fv Log-Normal   Cox, Log-Normal    FALSE #> 10006  626 0.6383478 0.128329406  fv Log-Normal   Cox, Log-Normal    FALSE #> 10022  627 0.6242897 0.114015728  fv Log-Normal   Cox, Log-Normal    FALSE #> 10038  628 0.6642862 0.172314284  fv Log-Normal   Cox, Log-Normal    FALSE #> 10054  629 0.6375845 0.122839399  fv Log-Normal   Cox, Log-Normal    FALSE #> 10070  630 0.8324783 0.130755118  fv Log-Normal   Cox, Log-Normal    FALSE #> 10086  631 0.6702640 0.108227424  fv Log-Normal   Cox, Log-Normal    FALSE #> 10102  632 0.7767630 0.177729336  fv Log-Normal   Cox, Log-Normal    FALSE #> 10118  633 0.4914987 0.093416187  fv Log-Normal   Cox, Log-Normal    FALSE #> 10134  634 0.6746632 0.175170229  fv Log-Normal   Cox, Log-Normal    FALSE #> 10150  635 0.9036130 0.202423279  fv Log-Normal   Cox, Log-Normal    FALSE #> 10166  636 0.4183601 0.083783931  fv Log-Normal   Cox, Log-Normal    FALSE #> 10182  637 0.8719040 0.157295311  fv Log-Normal   Cox, Log-Normal    FALSE #> 10198  638 0.6832427 0.161228334  fv Log-Normal   Cox, Log-Normal    FALSE #> 10214  639 0.4325527 0.097111445  fv Log-Normal   Cox, Log-Normal    FALSE #> 10230  640 0.7229937 0.154618672  fv Log-Normal   Cox, Log-Normal    FALSE #> 10246  641 0.5857330 0.122395333  fv Log-Normal   Cox, Log-Normal    FALSE #> 10262  642 0.6360379 0.117279907  fv Log-Normal   Cox, Log-Normal    FALSE #> 10278  643 0.6645645 0.116264569  fv Log-Normal   Cox, Log-Normal    FALSE #> 10294  644 0.6190932 0.107311160  fv Log-Normal   Cox, Log-Normal    FALSE #> 10310  645 0.7533956 0.134819768  fv Log-Normal   Cox, Log-Normal    FALSE #> 10326  646 0.8375410 0.134833528  fv Log-Normal   Cox, Log-Normal    FALSE #> 10342  647 0.6563751 0.098262571  fv Log-Normal   Cox, Log-Normal    FALSE #> 10358  648 1.0706016 0.216998183  fv Log-Normal   Cox, Log-Normal    FALSE #> 10374  649 0.6314217 0.139306982  fv Log-Normal   Cox, Log-Normal    FALSE #> 10390  650 0.8102765 0.157581814  fv Log-Normal   Cox, Log-Normal    FALSE #> 10406  651 0.7925761 0.156304582  fv Log-Normal   Cox, Log-Normal    FALSE #> 10422  652 1.2665462 0.209947407  fv Log-Normal   Cox, Log-Normal     TRUE #> 10438  653 0.5434712 0.103592893  fv Log-Normal   Cox, Log-Normal    FALSE #> 10454  654 0.5856523 0.164414521  fv Log-Normal   Cox, Log-Normal    FALSE #> 10470  655 0.7001387 0.134566498  fv Log-Normal   Cox, Log-Normal    FALSE #> 10486  656 0.7099659 0.150674082  fv Log-Normal   Cox, Log-Normal    FALSE #> 10502  657 0.5343694 0.110794639  fv Log-Normal   Cox, Log-Normal    FALSE #> 10518  658 1.1477870 0.241951186  fv Log-Normal   Cox, Log-Normal     TRUE #> 10534  659 1.0433141 0.268908122  fv Log-Normal   Cox, Log-Normal     TRUE #> 10550  660 0.8574517 0.160474979  fv Log-Normal   Cox, Log-Normal    FALSE #> 10566  661 0.5656016 0.115462157  fv Log-Normal   Cox, Log-Normal    FALSE #> 10582  662 0.5913374 0.112065321  fv Log-Normal   Cox, Log-Normal    FALSE #> 10598  663 0.7014024 0.115616243  fv Log-Normal   Cox, Log-Normal    FALSE #> 10614  664 0.7024798 0.117240169  fv Log-Normal   Cox, Log-Normal    FALSE #> 10630  665 0.8771094 0.169469126  fv Log-Normal   Cox, Log-Normal    FALSE #> 10646  666 1.1630685 0.201255082  fv Log-Normal   Cox, Log-Normal     TRUE #> 10662  667 0.6484067 0.117314626  fv Log-Normal   Cox, Log-Normal    FALSE #> 10678  668 0.6308263 0.131132730  fv Log-Normal   Cox, Log-Normal    FALSE #> 10694  669 0.9142532 0.187111491  fv Log-Normal   Cox, Log-Normal    FALSE #> 10710  670 0.6192754 0.147049588  fv Log-Normal   Cox, Log-Normal    FALSE #> 10726  671 0.7969559 0.146088966  fv Log-Normal   Cox, Log-Normal    FALSE #> 10742  672 0.9573071 0.193663466  fv Log-Normal   Cox, Log-Normal    FALSE #> 10758  673 0.6501472 0.117106072  fv Log-Normal   Cox, Log-Normal    FALSE #> 10774  674 0.8224194 0.160584426  fv Log-Normal   Cox, Log-Normal    FALSE #> 10790  675 0.6495018 0.188477878  fv Log-Normal   Cox, Log-Normal    FALSE #> 10806  676 0.8711933 0.164562370  fv Log-Normal   Cox, Log-Normal    FALSE #> 10822  677 0.6800675 0.117054835  fv Log-Normal   Cox, Log-Normal    FALSE #> 10838  678 0.5713441 0.107816673  fv Log-Normal   Cox, Log-Normal    FALSE #> 10854  679 0.6112346 0.133477913  fv Log-Normal   Cox, Log-Normal    FALSE #> 10870  680 0.7496116 0.136062520  fv Log-Normal   Cox, Log-Normal    FALSE #> 10886  681 1.0147299 0.200149345  fv Log-Normal   Cox, Log-Normal    FALSE #> 10902  682 0.6897060 0.140083930  fv Log-Normal   Cox, Log-Normal    FALSE #> 10918  683 0.8143957 0.185740341  fv Log-Normal   Cox, Log-Normal    FALSE #> 10934  684 1.0560264 0.219153739  fv Log-Normal   Cox, Log-Normal    FALSE #> 10950  685 0.6654488 0.115993957  fv Log-Normal   Cox, Log-Normal    FALSE #> 10966  686 0.8930725 0.173037645  fv Log-Normal   Cox, Log-Normal    FALSE #> 10982  687 0.5843867 0.083530258  fv Log-Normal   Cox, Log-Normal    FALSE #> 10998  688 0.6143148 0.131684418  fv Log-Normal   Cox, Log-Normal    FALSE #> 11014  689 0.6573937 0.127658438  fv Log-Normal   Cox, Log-Normal    FALSE #> 11030  690 0.8718297 0.179672033  fv Log-Normal   Cox, Log-Normal    FALSE #> 11046  691 0.7069982 0.288250138  fv Log-Normal   Cox, Log-Normal     TRUE #> 11062  692 0.6778167 0.148233924  fv Log-Normal   Cox, Log-Normal    FALSE #> 11078  693 0.5430129 0.135999915  fv Log-Normal   Cox, Log-Normal    FALSE #> 11094  694 0.7297001 0.140998825  fv Log-Normal   Cox, Log-Normal    FALSE #> 11110  695 0.6424014 0.105666649  fv Log-Normal   Cox, Log-Normal    FALSE #> 11126  696 0.7792619 0.119330409  fv Log-Normal   Cox, Log-Normal    FALSE #> 11142  697 0.8896887 0.198744409  fv Log-Normal   Cox, Log-Normal    FALSE #> 11158  698 0.4671205 0.106620840  fv Log-Normal   Cox, Log-Normal    FALSE #> 11174  699 0.7181789 0.160616129  fv Log-Normal   Cox, Log-Normal    FALSE #> 11190  700 0.5477280 0.108273968  fv Log-Normal   Cox, Log-Normal    FALSE #> 11206  701 0.8589172 0.180922288  fv Log-Normal   Cox, Log-Normal    FALSE #> 11222  702 0.8686646 0.196511490  fv Log-Normal   Cox, Log-Normal    FALSE #> 11238  703 0.7410847 0.159178375  fv Log-Normal   Cox, Log-Normal    FALSE #> 11254  704 0.6408199 0.125427367  fv Log-Normal   Cox, Log-Normal    FALSE #> 11270  705 0.7057959 0.146779535  fv Log-Normal   Cox, Log-Normal    FALSE #> 11286  706 0.7643511 0.148323471  fv Log-Normal   Cox, Log-Normal    FALSE #> 11302  707 0.9700524 0.160443888  fv Log-Normal   Cox, Log-Normal    FALSE #> 11318  708 0.9265933 0.149354147  fv Log-Normal   Cox, Log-Normal    FALSE #> 11334  709 0.6749683 0.172123684  fv Log-Normal   Cox, Log-Normal    FALSE #> 11350  710 0.5117771 0.091200765  fv Log-Normal   Cox, Log-Normal    FALSE #> 11366  711 0.6439905 0.167360644  fv Log-Normal   Cox, Log-Normal    FALSE #> 11382  712 0.6767084 0.108127089  fv Log-Normal   Cox, Log-Normal    FALSE #> 11398  713 1.0129778 0.274729370  fv Log-Normal   Cox, Log-Normal     TRUE #> 11414  714 0.8089406 0.174250652  fv Log-Normal   Cox, Log-Normal    FALSE #> 11430  715 0.8597580 0.165342420  fv Log-Normal   Cox, Log-Normal    FALSE #> 11446  716 0.7624100 0.134839371  fv Log-Normal   Cox, Log-Normal    FALSE #> 11462  717 0.8249533 0.167079927  fv Log-Normal   Cox, Log-Normal    FALSE #> 11478  718 0.8576847 0.162024555  fv Log-Normal   Cox, Log-Normal    FALSE #> 11494  719 0.9824621 0.237930201  fv Log-Normal   Cox, Log-Normal     TRUE #> 11510  720 0.7869505 0.125298604  fv Log-Normal   Cox, Log-Normal    FALSE #> 11526  721 0.6114592 0.138309040  fv Log-Normal   Cox, Log-Normal    FALSE #> 11542  722 0.8040976 0.146430602  fv Log-Normal   Cox, Log-Normal    FALSE #> 11558  723 0.6317170 0.117974648  fv Log-Normal   Cox, Log-Normal    FALSE #> 11574  724 0.7495479 0.173784769  fv Log-Normal   Cox, Log-Normal    FALSE #> 11590  725 0.7586515 0.141571771  fv Log-Normal   Cox, Log-Normal    FALSE #> 11606  726 0.6758165 0.142506550  fv Log-Normal   Cox, Log-Normal    FALSE #> 11622  727 0.7878067 0.116750587  fv Log-Normal   Cox, Log-Normal    FALSE #> 11638  728 1.0293747 0.182526831  fv Log-Normal   Cox, Log-Normal    FALSE #> 11654  729 0.7858074 0.152231699  fv Log-Normal   Cox, Log-Normal    FALSE #> 11670  730 0.8523065 0.177705684  fv Log-Normal   Cox, Log-Normal    FALSE #> 11686  731 0.5676312 0.154710463  fv Log-Normal   Cox, Log-Normal    FALSE #> 11702  732 0.4997332 0.136812917  fv Log-Normal   Cox, Log-Normal    FALSE #> 11718  733 0.9890456 0.207143362  fv Log-Normal   Cox, Log-Normal    FALSE #> 11734  734 0.8982896 0.180036540  fv Log-Normal   Cox, Log-Normal    FALSE #> 11750  735 1.0022962 0.154539597  fv Log-Normal   Cox, Log-Normal    FALSE #> 11766  736 0.8541157 0.183590550  fv Log-Normal   Cox, Log-Normal    FALSE #> 11782  737 0.7416449 0.113810433  fv Log-Normal   Cox, Log-Normal    FALSE #> 11798  738 0.5320803 0.105301645  fv Log-Normal   Cox, Log-Normal    FALSE #> 11814  739 0.6012800 0.128194651  fv Log-Normal   Cox, Log-Normal    FALSE #> 11830  740 0.8138247 0.152345638  fv Log-Normal   Cox, Log-Normal    FALSE #> 11846  741 1.0145235 0.181258293  fv Log-Normal   Cox, Log-Normal    FALSE #> 11862  742 0.6611129 0.120578274  fv Log-Normal   Cox, Log-Normal    FALSE #> 11878  743 0.7645426 0.114386181  fv Log-Normal   Cox, Log-Normal    FALSE #> 11894  744 0.7905449 0.201901154  fv Log-Normal   Cox, Log-Normal    FALSE #> 11910  745 0.7800280 0.154382410  fv Log-Normal   Cox, Log-Normal    FALSE #> 11926  746 0.5983568 0.171488391  fv Log-Normal   Cox, Log-Normal    FALSE #> 11942  747 0.6553279 0.126681997  fv Log-Normal   Cox, Log-Normal    FALSE #> 11958  748 0.8596291 0.190755108  fv Log-Normal   Cox, Log-Normal    FALSE #> 11974  749 0.9163101 0.186289412  fv Log-Normal   Cox, Log-Normal    FALSE #> 11990  750 0.7524690 0.142892311  fv Log-Normal   Cox, Log-Normal    FALSE #> 12006  751 0.8953943 0.163271302  fv Log-Normal   Cox, Log-Normal    FALSE #> 12022  752 0.6902168 0.167689577  fv Log-Normal   Cox, Log-Normal    FALSE #> 12038  753 0.4443201 0.114075408  fv Log-Normal   Cox, Log-Normal    FALSE #> 12054  754 0.7877421 0.145197625  fv Log-Normal   Cox, Log-Normal    FALSE #> 12070  755 0.6689381 0.126865509  fv Log-Normal   Cox, Log-Normal    FALSE #> 12086  756 0.3785131 0.082873155  fv Log-Normal   Cox, Log-Normal    FALSE #> 12102  757 0.6779404 0.130786163  fv Log-Normal   Cox, Log-Normal    FALSE #> 12118  758 0.7746253 0.163500811  fv Log-Normal   Cox, Log-Normal    FALSE #> 12134  759 0.6781740 0.122448396  fv Log-Normal   Cox, Log-Normal    FALSE #> 12150  760 0.8695697 0.184253732  fv Log-Normal   Cox, Log-Normal    FALSE #> 12166  761 0.6318074 0.126609451  fv Log-Normal   Cox, Log-Normal    FALSE #> 12182  762 0.7612468 0.155081467  fv Log-Normal   Cox, Log-Normal    FALSE #> 12198  763 0.5637018 0.111824322  fv Log-Normal   Cox, Log-Normal    FALSE #> 12214  764 0.6553212 0.114285817  fv Log-Normal   Cox, Log-Normal    FALSE #> 12230  765 0.9462467 0.163155624  fv Log-Normal   Cox, Log-Normal    FALSE #> 12246  766 0.6537097 0.106200814  fv Log-Normal   Cox, Log-Normal    FALSE #> 12262  767 0.8747035 0.162635548  fv Log-Normal   Cox, Log-Normal    FALSE #> 12278  768 0.5877160 0.115237900  fv Log-Normal   Cox, Log-Normal    FALSE #> 12294  769 1.0167998 0.184375254  fv Log-Normal   Cox, Log-Normal    FALSE #> 12310  770 0.6130030 0.145352310  fv Log-Normal   Cox, Log-Normal    FALSE #> 12326  771 0.5745927 0.203706310  fv Log-Normal   Cox, Log-Normal    FALSE #> 12342  772 0.5853131 0.110646970  fv Log-Normal   Cox, Log-Normal    FALSE #> 12358  773 0.5687756 0.134007492  fv Log-Normal   Cox, Log-Normal    FALSE #> 12374  774 0.7226932 0.149336319  fv Log-Normal   Cox, Log-Normal    FALSE #> 12390  775 0.6797903 0.122447722  fv Log-Normal   Cox, Log-Normal    FALSE #> 12406  776 0.6853206 0.109785022  fv Log-Normal   Cox, Log-Normal    FALSE #> 12422  777 0.6212015 0.129042772  fv Log-Normal   Cox, Log-Normal    FALSE #> 12438  778 0.7164382 0.234844057  fv Log-Normal   Cox, Log-Normal    FALSE #> 12454  779 0.6742564 0.143043418  fv Log-Normal   Cox, Log-Normal    FALSE #> 12470  780 0.6170242 0.105097932  fv Log-Normal   Cox, Log-Normal    FALSE #> 12486  781 0.7318112 0.142735071  fv Log-Normal   Cox, Log-Normal    FALSE #> 12502  782 0.6610061 0.135449920  fv Log-Normal   Cox, Log-Normal    FALSE #> 12518  783 0.6278950 0.104305213  fv Log-Normal   Cox, Log-Normal    FALSE #> 12534  784 0.8094113 0.169945752  fv Log-Normal   Cox, Log-Normal    FALSE #> 12550  785 0.4946073 0.092835822  fv Log-Normal   Cox, Log-Normal    FALSE #> 12566  786 0.6267274 0.128041392  fv Log-Normal   Cox, Log-Normal    FALSE #> 12582  787 1.0178487 0.161660428  fv Log-Normal   Cox, Log-Normal    FALSE #> 12598  788 0.7008192 0.129005706  fv Log-Normal   Cox, Log-Normal    FALSE #> 12614  789 0.9344409 0.209106923  fv Log-Normal   Cox, Log-Normal    FALSE #> 12630  790 0.7454167 0.158623779  fv Log-Normal   Cox, Log-Normal    FALSE #> 12646  791 0.4161568 0.067941163  fv Log-Normal   Cox, Log-Normal    FALSE #> 12662  792 0.5456873 0.127448237  fv Log-Normal   Cox, Log-Normal    FALSE #> 12678  793 0.8498802 0.152802063  fv Log-Normal   Cox, Log-Normal    FALSE #> 12694  794 0.6776564 0.170730758  fv Log-Normal   Cox, Log-Normal    FALSE #> 12710  795 0.6364088 0.114399391  fv Log-Normal   Cox, Log-Normal    FALSE #> 12726  796 0.6120280 0.123040994  fv Log-Normal   Cox, Log-Normal    FALSE #> 12742  797 0.6868664 0.174130114  fv Log-Normal   Cox, Log-Normal    FALSE #> 12758  798 0.4111110 0.073952807  fv Log-Normal   Cox, Log-Normal    FALSE #> 12774  799 0.7667146 0.131502219  fv Log-Normal   Cox, Log-Normal    FALSE #> 12790  800 0.7651482 0.172314768  fv Log-Normal   Cox, Log-Normal    FALSE #> 12806  801 0.9872713 0.175396964  fv Log-Normal   Cox, Log-Normal    FALSE #> 12822  802 0.7981148 0.154386226  fv Log-Normal   Cox, Log-Normal    FALSE #> 12838  803 0.6583993 0.114725176  fv Log-Normal   Cox, Log-Normal    FALSE #> 12854  804 0.7555532 0.134524463  fv Log-Normal   Cox, Log-Normal    FALSE #> 12870  805 0.8249342 0.224337487  fv Log-Normal   Cox, Log-Normal    FALSE #> 12886  806 0.7903732 0.194773703  fv Log-Normal   Cox, Log-Normal    FALSE #> 12902  807 0.6441408 0.165412856  fv Log-Normal   Cox, Log-Normal    FALSE #> 12918  808 0.5046575 0.080358900  fv Log-Normal   Cox, Log-Normal    FALSE #> 12934  809 0.6864933 0.146661840  fv Log-Normal   Cox, Log-Normal    FALSE #> 12950  810 0.8124512 0.154133092  fv Log-Normal   Cox, Log-Normal    FALSE #> 12966  811 0.4692017 0.082645886  fv Log-Normal   Cox, Log-Normal    FALSE #> 12982  812 0.7250259 0.147300631  fv Log-Normal   Cox, Log-Normal    FALSE #> 12998  813 0.8814457 0.152466669  fv Log-Normal   Cox, Log-Normal    FALSE #> 13014  814 0.6852626 0.133497265  fv Log-Normal   Cox, Log-Normal    FALSE #> 13030  815 0.5973459 0.152294373  fv Log-Normal   Cox, Log-Normal    FALSE #> 13046  816 0.6997353 0.136317443  fv Log-Normal   Cox, Log-Normal    FALSE #> 13062  817 0.4710155 0.088285645  fv Log-Normal   Cox, Log-Normal    FALSE #> 13078  818 0.6451949 0.153857802  fv Log-Normal   Cox, Log-Normal    FALSE #> 13094  819 0.8337783 0.122400350  fv Log-Normal   Cox, Log-Normal    FALSE #> 13110  820 0.8563875 0.184562604  fv Log-Normal   Cox, Log-Normal    FALSE #> 13126  821 0.5642452 0.099701124  fv Log-Normal   Cox, Log-Normal    FALSE #> 13142  822 0.8848165 0.173698620  fv Log-Normal   Cox, Log-Normal    FALSE #> 13158  823 0.9679673 0.224333994  fv Log-Normal   Cox, Log-Normal    FALSE #> 13174  824 0.9169811 0.190827566  fv Log-Normal   Cox, Log-Normal    FALSE #> 13190  825 0.7620785 0.143634398  fv Log-Normal   Cox, Log-Normal    FALSE #> 13206  826 0.8129126 0.187223856  fv Log-Normal   Cox, Log-Normal    FALSE #> 13222  827 0.8913960 0.200847045  fv Log-Normal   Cox, Log-Normal    FALSE #> 13238  828 0.7526682 0.217873031  fv Log-Normal   Cox, Log-Normal    FALSE #> 13254  829 0.7129035 0.141271513  fv Log-Normal   Cox, Log-Normal    FALSE #> 13270  830 0.8093686 0.161447055  fv Log-Normal   Cox, Log-Normal    FALSE #> 13286  831 0.8728235 0.152899961  fv Log-Normal   Cox, Log-Normal    FALSE #> 13302  832 0.5911143 0.140956737  fv Log-Normal   Cox, Log-Normal    FALSE #> 13318  833 0.8823798 0.182578061  fv Log-Normal   Cox, Log-Normal    FALSE #> 13334  834 0.6489802 0.138432704  fv Log-Normal   Cox, Log-Normal    FALSE #> 13350  835 0.6823934 0.138367545  fv Log-Normal   Cox, Log-Normal    FALSE #> 13366  836 0.7826148 0.163460070  fv Log-Normal   Cox, Log-Normal    FALSE #> 13382  837 0.7736597 0.176327722  fv Log-Normal   Cox, Log-Normal    FALSE #> 13398  838 0.7054494 0.122169599  fv Log-Normal   Cox, Log-Normal    FALSE #> 13414  839 0.5919390 0.130336343  fv Log-Normal   Cox, Log-Normal    FALSE #> 13430  840 0.6180481 0.108543993  fv Log-Normal   Cox, Log-Normal    FALSE #> 13446  841 0.9302992 0.196914198  fv Log-Normal   Cox, Log-Normal    FALSE #> 13462  842 0.5602323 0.109237597  fv Log-Normal   Cox, Log-Normal    FALSE #> 13478  843 0.6748513 0.144994565  fv Log-Normal   Cox, Log-Normal    FALSE #> 13494  844 0.9129811 0.159326671  fv Log-Normal   Cox, Log-Normal    FALSE #> 13510  845 0.9877512 0.201813260  fv Log-Normal   Cox, Log-Normal    FALSE #> 13526  846 0.5533760 0.112530844  fv Log-Normal   Cox, Log-Normal    FALSE #> 13542  847 1.0264997 0.158287594  fv Log-Normal   Cox, Log-Normal    FALSE #> 13558  848 0.8399707 0.148734031  fv Log-Normal   Cox, Log-Normal    FALSE #> 13574  849 0.6201535 0.111310526  fv Log-Normal   Cox, Log-Normal    FALSE #> 13590  850 0.8142559 0.145644218  fv Log-Normal   Cox, Log-Normal    FALSE #> 13606  851 0.7006251 0.122041091  fv Log-Normal   Cox, Log-Normal    FALSE #> 13622  852 0.7511030 0.133087367  fv Log-Normal   Cox, Log-Normal    FALSE #> 13638  853 1.0390655 0.145203301  fv Log-Normal   Cox, Log-Normal    FALSE #> 13654  854 0.7097626 0.174226283  fv Log-Normal   Cox, Log-Normal    FALSE #> 13670  855 0.6546727 0.164479144  fv Log-Normal   Cox, Log-Normal    FALSE #> 13686  856 0.8742938 0.176632638  fv Log-Normal   Cox, Log-Normal    FALSE #> 13702  857 0.8235076 0.201058874  fv Log-Normal   Cox, Log-Normal    FALSE #> 13718  858 1.0655379 0.200597120  fv Log-Normal   Cox, Log-Normal    FALSE #> 13734  859 0.9019343 0.175412623  fv Log-Normal   Cox, Log-Normal    FALSE #> 13750  860 0.6622603 0.126053239  fv Log-Normal   Cox, Log-Normal    FALSE #> 13766  861 0.4665198 0.077897819  fv Log-Normal   Cox, Log-Normal    FALSE #> 13782  862 0.6543993 0.124272472  fv Log-Normal   Cox, Log-Normal    FALSE #> 13798  863 0.6978115 0.134982065  fv Log-Normal   Cox, Log-Normal    FALSE #> 13814  864 0.9283803 0.173095332  fv Log-Normal   Cox, Log-Normal    FALSE #> 13830  865 0.9136195 0.174912207  fv Log-Normal   Cox, Log-Normal    FALSE #> 13846  866 0.7371495 0.158525534  fv Log-Normal   Cox, Log-Normal    FALSE #> 13862  867 0.6008699 0.124295016  fv Log-Normal   Cox, Log-Normal    FALSE #> 13878  868 0.8928902 0.189023552  fv Log-Normal   Cox, Log-Normal    FALSE #> 13894  869 0.5323448 0.094885987  fv Log-Normal   Cox, Log-Normal    FALSE #> 13910  870 0.7740212 0.153614509  fv Log-Normal   Cox, Log-Normal    FALSE #> 13926  871 0.5040690 0.094185702  fv Log-Normal   Cox, Log-Normal    FALSE #> 13942  872 0.4682306 0.082330866  fv Log-Normal   Cox, Log-Normal    FALSE #> 13958  873 0.8744887 0.139709149  fv Log-Normal   Cox, Log-Normal    FALSE #> 13974  874 0.7783567 0.192580753  fv Log-Normal   Cox, Log-Normal    FALSE #> 13990  875 0.6773657 0.139640942  fv Log-Normal   Cox, Log-Normal    FALSE #> 14006  876 0.6165045 0.121485821  fv Log-Normal   Cox, Log-Normal    FALSE #> 14022  877 0.5859028 0.131899842  fv Log-Normal   Cox, Log-Normal    FALSE #> 14038  878 0.6917847 0.157165569  fv Log-Normal   Cox, Log-Normal    FALSE #> 14054  879 0.6977268 0.137740612  fv Log-Normal   Cox, Log-Normal    FALSE #> 14070  880 0.8483322 0.141854241  fv Log-Normal   Cox, Log-Normal    FALSE #> 14086  881 0.5661982 0.102733370  fv Log-Normal   Cox, Log-Normal    FALSE #> 14102  882 0.7169868 0.152447981  fv Log-Normal   Cox, Log-Normal    FALSE #> 14118  883 0.6447592 0.153543953  fv Log-Normal   Cox, Log-Normal    FALSE #> 14134  884 0.5975498 0.128517356  fv Log-Normal   Cox, Log-Normal    FALSE #> 14150  885 0.7782512 0.162836252  fv Log-Normal   Cox, Log-Normal    FALSE #> 14166  886 0.6628296 0.148932066  fv Log-Normal   Cox, Log-Normal    FALSE #> 14182  887 0.3830570 0.087415331  fv Log-Normal   Cox, Log-Normal    FALSE #> 14198  888 0.6791310 0.150167427  fv Log-Normal   Cox, Log-Normal    FALSE #> 14214  889 0.7780627 0.203727025  fv Log-Normal   Cox, Log-Normal    FALSE #> 14230  890 0.7108866 0.125667784  fv Log-Normal   Cox, Log-Normal    FALSE #> 14246  891 0.7540428 0.144451491  fv Log-Normal   Cox, Log-Normal    FALSE #> 14262  892 1.0121293 0.224929443  fv Log-Normal   Cox, Log-Normal    FALSE #> 14278  893 0.4956099 0.115792086  fv Log-Normal   Cox, Log-Normal    FALSE #> 14294  894 0.5889320 0.111970124  fv Log-Normal   Cox, Log-Normal    FALSE #> 14310  895 0.8335347 0.185574046  fv Log-Normal   Cox, Log-Normal    FALSE #> 14326  896 0.6037923 0.156766168  fv Log-Normal   Cox, Log-Normal    FALSE #> 14342  897 0.6843269 0.122402774  fv Log-Normal   Cox, Log-Normal    FALSE #> 14358  898 0.9409321 0.285299319  fv Log-Normal   Cox, Log-Normal     TRUE #> 14374  899 0.9418146 0.342156384  fv Log-Normal   Cox, Log-Normal     TRUE #> 14390  900 0.7374075 0.157498955  fv Log-Normal   Cox, Log-Normal    FALSE #> 14406  901 0.7858528 0.120999175  fv Log-Normal   Cox, Log-Normal    FALSE #> 14422  902 0.8540252 0.162479893  fv Log-Normal   Cox, Log-Normal    FALSE #> 14438  903 0.5849627 0.125627421  fv Log-Normal   Cox, Log-Normal    FALSE #> 14454  904 0.7057806 0.149798576  fv Log-Normal   Cox, Log-Normal    FALSE #> 14470  905 0.7357375 0.126263556  fv Log-Normal   Cox, Log-Normal    FALSE #> 14486  906 0.7226696 0.143793789  fv Log-Normal   Cox, Log-Normal    FALSE #> 14502  907 0.6382255 0.144489887  fv Log-Normal   Cox, Log-Normal    FALSE #> 14518  908 0.5633960 0.116541748  fv Log-Normal   Cox, Log-Normal    FALSE #> 14534  909 0.9533251 0.171236085  fv Log-Normal   Cox, Log-Normal    FALSE #> 14550  910 0.6853516 0.148763485  fv Log-Normal   Cox, Log-Normal    FALSE #> 14566  911 0.6876648 0.117291524  fv Log-Normal   Cox, Log-Normal    FALSE #> 14582  912 0.3920258 0.067947080  fv Log-Normal   Cox, Log-Normal    FALSE #> 14598  913 0.6137430 0.109088353  fv Log-Normal   Cox, Log-Normal    FALSE #> 14614  914 0.8636100 0.164033956  fv Log-Normal   Cox, Log-Normal    FALSE #> 14630  915 0.6906558 0.126734273  fv Log-Normal   Cox, Log-Normal    FALSE #> 14646  916 0.7289457 0.129897014  fv Log-Normal   Cox, Log-Normal    FALSE #> 14662  917 0.5314274 0.129139130  fv Log-Normal   Cox, Log-Normal    FALSE #> 14678  918 0.5742138 0.121553839  fv Log-Normal   Cox, Log-Normal    FALSE #> 14694  919 0.6544943 0.119380355  fv Log-Normal   Cox, Log-Normal    FALSE #> 14710  920 0.6868399 0.113637131  fv Log-Normal   Cox, Log-Normal    FALSE #> 14726  921 1.1773278 0.226105941  fv Log-Normal   Cox, Log-Normal     TRUE #> 14742  922 0.6144325 0.114228710  fv Log-Normal   Cox, Log-Normal    FALSE #> 14758  923 1.0843000 0.228582600  fv Log-Normal   Cox, Log-Normal    FALSE #> 14774  924 0.6749561 0.128183794  fv Log-Normal   Cox, Log-Normal    FALSE #> 14790  925 0.7478889 0.156179177  fv Log-Normal   Cox, Log-Normal    FALSE #> 14806  926 0.9518760 0.174183082  fv Log-Normal   Cox, Log-Normal    FALSE #> 14822  927 0.8086761 0.157608442  fv Log-Normal   Cox, Log-Normal    FALSE #> 14838  928 0.6843932 0.138396866  fv Log-Normal   Cox, Log-Normal    FALSE #> 14854  929 0.7647168 0.139036563  fv Log-Normal   Cox, Log-Normal    FALSE #> 14870  930 0.5777332 0.125461849  fv Log-Normal   Cox, Log-Normal    FALSE #> 14886  931 0.8122488 0.151665716  fv Log-Normal   Cox, Log-Normal    FALSE #> 14902  932 0.5420925 0.116762834  fv Log-Normal   Cox, Log-Normal    FALSE #> 14918  933 0.5739756 0.094085379  fv Log-Normal   Cox, Log-Normal    FALSE #> 14934  934 0.6826506 0.151986119  fv Log-Normal   Cox, Log-Normal    FALSE #> 14950  935 0.8998188 0.151748807  fv Log-Normal   Cox, Log-Normal    FALSE #> 14966  936 0.6997538 0.130621651  fv Log-Normal   Cox, Log-Normal    FALSE #> 14982  937 0.8472782 0.151815981  fv Log-Normal   Cox, Log-Normal    FALSE #> 14998  938 0.9004974 0.178529342  fv Log-Normal   Cox, Log-Normal    FALSE #> 15014  939 0.5682556 0.086970214  fv Log-Normal   Cox, Log-Normal    FALSE #> 15030  940 0.8662010 0.228227941  fv Log-Normal   Cox, Log-Normal    FALSE #> 15046  941 0.4726126 0.093706557  fv Log-Normal   Cox, Log-Normal    FALSE #> 15062  942 0.8714100 0.165388066  fv Log-Normal   Cox, Log-Normal    FALSE #> 15078  943 0.5203635 0.076183783  fv Log-Normal   Cox, Log-Normal    FALSE #> 15094  944 0.6583700 0.114715236  fv Log-Normal   Cox, Log-Normal    FALSE #> 15110  945 1.0014192 0.198006785  fv Log-Normal   Cox, Log-Normal    FALSE #> 15126  946 0.8283976 0.138699106  fv Log-Normal   Cox, Log-Normal    FALSE #> 15142  947 0.8336294 0.130080513  fv Log-Normal   Cox, Log-Normal    FALSE #> 15158  948 0.4624278 0.106368903  fv Log-Normal   Cox, Log-Normal    FALSE #> 15174  949 0.7755816 0.201619990  fv Log-Normal   Cox, Log-Normal    FALSE #> 15190  950 0.7749094 0.131061734  fv Log-Normal   Cox, Log-Normal    FALSE #> 15206  951 0.5867880 0.126974333  fv Log-Normal   Cox, Log-Normal    FALSE #> 15222  952 0.6279933 0.113401628  fv Log-Normal   Cox, Log-Normal    FALSE #> 15238  953 0.6028978 0.127851761  fv Log-Normal   Cox, Log-Normal    FALSE #> 15254  954 0.8198247 0.196525947  fv Log-Normal   Cox, Log-Normal    FALSE #> 15270  955 0.7011257 0.118020695  fv Log-Normal   Cox, Log-Normal    FALSE #> 15286  956 0.8909384 0.147092482  fv Log-Normal   Cox, Log-Normal    FALSE #> 15302  957 0.6256487 0.123780844  fv Log-Normal   Cox, Log-Normal    FALSE #> 15318  958 0.6012760 0.127411782  fv Log-Normal   Cox, Log-Normal    FALSE #> 15334  959 0.6842127 0.110349251  fv Log-Normal   Cox, Log-Normal    FALSE #> 15350  960 0.5962401 0.132639556  fv Log-Normal   Cox, Log-Normal    FALSE #> 15366  961 0.8256761 0.134731038  fv Log-Normal   Cox, Log-Normal    FALSE #> 15382  962 0.8480599 0.146238080  fv Log-Normal   Cox, Log-Normal    FALSE #> 15398  963 0.8964273 0.190800209  fv Log-Normal   Cox, Log-Normal    FALSE #> 15414  964 0.6844403 0.155462521  fv Log-Normal   Cox, Log-Normal    FALSE #> 15430  965 0.5646155 0.099615793  fv Log-Normal   Cox, Log-Normal    FALSE #> 15446  966 1.0564302 0.173266059  fv Log-Normal   Cox, Log-Normal    FALSE #> 15462  967 0.8965299 0.184549026  fv Log-Normal   Cox, Log-Normal    FALSE #> 15478  968 0.8387679 0.191014624  fv Log-Normal   Cox, Log-Normal    FALSE #> 15494  969 1.0086294 0.181030289  fv Log-Normal   Cox, Log-Normal    FALSE #> 15510  970 0.7743469 0.160146415  fv Log-Normal   Cox, Log-Normal    FALSE #> 15526  971 0.9588093 0.163447254  fv Log-Normal   Cox, Log-Normal    FALSE #> 15542  972 0.6142044 0.129972343  fv Log-Normal   Cox, Log-Normal    FALSE #> 15558  973 0.9177821 0.145918328  fv Log-Normal   Cox, Log-Normal    FALSE #> 15574  974 0.9095060 0.166708944  fv Log-Normal   Cox, Log-Normal    FALSE #> 15590  975 1.0452709 0.179306204  fv Log-Normal   Cox, Log-Normal    FALSE #> 15606  976 0.8166536 0.248030345  fv Log-Normal   Cox, Log-Normal     TRUE #> 15622  977 1.1346207 0.218925064  fv Log-Normal   Cox, Log-Normal     TRUE #> 15638  978 0.8376048 0.216970640  fv Log-Normal   Cox, Log-Normal    FALSE #> 15654  979 0.6250216 0.119316195  fv Log-Normal   Cox, Log-Normal    FALSE #> 15670  980 0.8403925 0.203135178  fv Log-Normal   Cox, Log-Normal    FALSE #> 15686  981 0.6682226 0.111181799  fv Log-Normal   Cox, Log-Normal    FALSE #> 15702  982 0.7057857 0.165757380  fv Log-Normal   Cox, Log-Normal    FALSE #> 15718  983 0.7389994 0.128759268  fv Log-Normal   Cox, Log-Normal    FALSE #> 15734  984 0.6410471 0.118385691  fv Log-Normal   Cox, Log-Normal    FALSE #> 15750  985 0.8274032 0.154219628  fv Log-Normal   Cox, Log-Normal    FALSE #> 15766  986 0.7677255 0.160069092  fv Log-Normal   Cox, Log-Normal    FALSE #> 15782  987 0.6687190 0.167108475  fv Log-Normal   Cox, Log-Normal    FALSE #> 15798  988 0.8994325 0.141177294  fv Log-Normal   Cox, Log-Normal    FALSE #> 15814  989 0.9739533 0.164384471  fv Log-Normal   Cox, Log-Normal    FALSE #> 15830  990 0.7007834 0.125967616  fv Log-Normal   Cox, Log-Normal    FALSE #> 15846  991 0.7971769 0.144583688  fv Log-Normal   Cox, Log-Normal    FALSE #> 15862  992 0.7144825 0.127981863  fv Log-Normal   Cox, Log-Normal    FALSE #> 15878  993 0.7552077 0.121304392  fv Log-Normal   Cox, Log-Normal    FALSE #> 15894  994 0.6920912 0.164611440  fv Log-Normal   Cox, Log-Normal    FALSE #> 15910  995 0.6370552 0.159854672  fv Log-Normal   Cox, Log-Normal    FALSE #> 15926  996 0.7158013 0.157550693  fv Log-Normal   Cox, Log-Normal    FALSE #> 15942  997 0.7112983 0.119441114  fv Log-Normal   Cox, Log-Normal    FALSE #> 15958  998 0.6493443 0.159161298  fv Log-Normal   Cox, Log-Normal    FALSE #> 15974  999 0.8004319 0.155806429  fv Log-Normal   Cox, Log-Normal    FALSE #> 15990 1000 0.7192738 0.144032838  fv Log-Normal   Cox, Log-Normal    FALSE #> 7        1 0.6405455 0.122690524  fv Log-Normal      RP(P), Gamma    FALSE #> 23       2 0.6040462 0.117656180  fv Log-Normal      RP(P), Gamma    FALSE #> 39       3 0.8022026 0.152352601  fv Log-Normal      RP(P), Gamma    FALSE #> 55       4 0.5259592 0.103211324  fv Log-Normal      RP(P), Gamma    FALSE #> 71       5 0.7983299 0.149019874  fv Log-Normal      RP(P), Gamma    FALSE #> 87       6 0.6887647 0.130581125  fv Log-Normal      RP(P), Gamma    FALSE #> 103      7 0.5143373 0.100826891  fv Log-Normal      RP(P), Gamma    FALSE #> 119      8 0.7636843 0.144723641  fv Log-Normal      RP(P), Gamma    FALSE #> 135      9 0.6642983 0.127490449  fv Log-Normal      RP(P), Gamma    FALSE #> 151     10 0.8292666 0.155612348  fv Log-Normal      RP(P), Gamma    FALSE #> 167     11 0.7870963 0.147766260  fv Log-Normal      RP(P), Gamma    FALSE #> 183     12 0.5128538 0.101130755  fv Log-Normal      RP(P), Gamma    FALSE #> 199     13 0.7531485 0.143377407  fv Log-Normal      RP(P), Gamma    FALSE #> 215     14 0.6331756 0.120852213  fv Log-Normal      RP(P), Gamma    FALSE #> 231     15 0.6426603 0.123809994  fv Log-Normal      RP(P), Gamma    FALSE #> 247     16 0.5322474 0.105162595  fv Log-Normal      RP(P), Gamma    FALSE #> 263     17 0.6467134 0.126503719  fv Log-Normal      RP(P), Gamma    FALSE #> 279     18 0.6943998 0.131886091  fv Log-Normal      RP(P), Gamma    FALSE #> 295     19 0.7899824 0.147933146  fv Log-Normal      RP(P), Gamma    FALSE #> 311     20 0.5484487 0.107786986  fv Log-Normal      RP(P), Gamma    FALSE #> 327     21 0.6161933 0.119855712  fv Log-Normal      RP(P), Gamma    FALSE #> 343     22 0.5040710 0.098879998  fv Log-Normal      RP(P), Gamma    FALSE #> 359     23 0.8877674 0.167618206  fv Log-Normal      RP(P), Gamma    FALSE #> 375     24 0.6757630 0.128886073  fv Log-Normal      RP(P), Gamma    FALSE #> 391     25 0.5307117 0.103738093  fv Log-Normal      RP(P), Gamma    FALSE #> 407     26 0.6429191 0.123298527  fv Log-Normal      RP(P), Gamma    FALSE #> 423     27 0.4611677 0.092589138  fv Log-Normal      RP(P), Gamma    FALSE #> 439     28 0.6456617 0.124703184  fv Log-Normal      RP(P), Gamma    FALSE #> 455     29 0.9326416 0.171576792  fv Log-Normal      RP(P), Gamma    FALSE #> 471     30 0.5693105 0.110689741  fv Log-Normal      RP(P), Gamma    FALSE #> 487     31 0.5125629 0.101588852  fv Log-Normal      RP(P), Gamma    FALSE #> 503     32 0.5118841 0.101147723  fv Log-Normal      RP(P), Gamma    FALSE #> 519     33 0.6618378 0.126871990  fv Log-Normal      RP(P), Gamma    FALSE #> 535     34 0.8797795 0.165259342  fv Log-Normal      RP(P), Gamma    FALSE #> 551     35 0.5063559 0.102207355  fv Log-Normal      RP(P), Gamma    FALSE #> 567     36 0.4635876 0.092513305  fv Log-Normal      RP(P), Gamma    FALSE #> 583     37 0.6395122 0.123631418  fv Log-Normal      RP(P), Gamma    FALSE #> 599     38 0.6075237 0.118657265  fv Log-Normal      RP(P), Gamma    FALSE #> 615     39 0.7176400 0.137133349  fv Log-Normal      RP(P), Gamma    FALSE #> 631     40 0.5781112 0.116042341  fv Log-Normal      RP(P), Gamma    FALSE #> 647     41 0.6542709 0.124754965  fv Log-Normal      RP(P), Gamma    FALSE #> 663     42 0.5154684 0.101882146  fv Log-Normal      RP(P), Gamma    FALSE #> 679     43 0.4670205 0.092725837  fv Log-Normal      RP(P), Gamma    FALSE #> 695     44 0.6203867 0.118800155  fv Log-Normal      RP(P), Gamma    FALSE #> 711     45 0.5393777 0.105195798  fv Log-Normal      RP(P), Gamma    FALSE #> 727     46 0.3151313 0.065214531  fv Log-Normal      RP(P), Gamma    FALSE #> 743     47 0.7594989 0.142998177  fv Log-Normal      RP(P), Gamma    FALSE #> 759     48 0.8276292 0.156727119  fv Log-Normal      RP(P), Gamma    FALSE #> 775     49 0.8478641 0.158244438  fv Log-Normal      RP(P), Gamma    FALSE #> 791     50 0.5475928 0.107331065  fv Log-Normal      RP(P), Gamma    FALSE #> 807     51 0.6844050 0.129691061  fv Log-Normal      RP(P), Gamma    FALSE #> 823     52 0.4849833 0.096565419  fv Log-Normal      RP(P), Gamma    FALSE #> 839     53 0.8506738 0.158927483  fv Log-Normal      RP(P), Gamma    FALSE #> 855     54 0.6258808 0.120694285  fv Log-Normal      RP(P), Gamma    FALSE #> 871     55 0.8334571 0.156035069  fv Log-Normal      RP(P), Gamma    FALSE #> 887     56 0.7883870 0.150629653  fv Log-Normal      RP(P), Gamma    FALSE #> 903     57 0.8198680 0.154099203  fv Log-Normal      RP(P), Gamma    FALSE #> 919     58 0.7046033 0.135489320  fv Log-Normal      RP(P), Gamma    FALSE #> 935     59 0.6362143 0.122087484  fv Log-Normal      RP(P), Gamma    FALSE #> 951     60 0.8194371 0.153940246  fv Log-Normal      RP(P), Gamma    FALSE #> 967     61 0.7165910 0.137115513  fv Log-Normal      RP(P), Gamma    FALSE #> 983     62 0.6072289 0.118534620  fv Log-Normal      RP(P), Gamma    FALSE #> 999     63 0.7813425 0.147824198  fv Log-Normal      RP(P), Gamma    FALSE #> 1015    64 0.6962526 0.132885352  fv Log-Normal      RP(P), Gamma    FALSE #> 1031    65 0.9532066 0.179257953  fv Log-Normal      RP(P), Gamma    FALSE #> 1047    66 0.5446300 0.106323243  fv Log-Normal      RP(P), Gamma    FALSE #> 1063    67 0.5523958 0.108439867  fv Log-Normal      RP(P), Gamma    FALSE #> 1079    68 0.4935455 0.098591049  fv Log-Normal      RP(P), Gamma    FALSE #> 1095    69 0.7293272 0.138575438  fv Log-Normal      RP(P), Gamma    FALSE #> 1111    70 0.6433089 0.123090851  fv Log-Normal      RP(P), Gamma    FALSE #> 1127    71 0.8654650 0.161985674  fv Log-Normal      RP(P), Gamma    FALSE #> 1143    72 0.5596582 0.109600090  fv Log-Normal      RP(P), Gamma    FALSE #> 1159    73 0.6080334 0.117616590  fv Log-Normal      RP(P), Gamma    FALSE #> 1175    74 0.4192212 0.085190539  fv Log-Normal      RP(P), Gamma    FALSE #> 1191    75 0.6459502 0.123937508  fv Log-Normal      RP(P), Gamma    FALSE #> 1207    76 0.5317111 0.103568281  fv Log-Normal      RP(P), Gamma    FALSE #> 1223    77 0.8201123 0.155989547  fv Log-Normal      RP(P), Gamma    FALSE #> 1239    78 0.7324703 0.140075929  fv Log-Normal      RP(P), Gamma    FALSE #> 1255    79 0.9938648 0.182439175  fv Log-Normal      RP(P), Gamma     TRUE #> 1271    80 0.5406339 0.105944290  fv Log-Normal      RP(P), Gamma    FALSE #> 1287    81 0.8194269 0.152455464  fv Log-Normal      RP(P), Gamma    FALSE #> 1303    82 0.6005756 0.115909588  fv Log-Normal      RP(P), Gamma    FALSE #> 1319    83 0.6898550 0.131609094  fv Log-Normal      RP(P), Gamma    FALSE #> 1335    84 0.5667630 0.110642783  fv Log-Normal      RP(P), Gamma    FALSE #> 1351    85 0.6773712 0.132784297  fv Log-Normal      RP(P), Gamma    FALSE #> 1367    86 0.5699243 0.113421403  fv Log-Normal      RP(P), Gamma    FALSE #> 1383    87 0.6537014 0.126044444  fv Log-Normal      RP(P), Gamma    FALSE #> 1399    88 0.6600437 0.127234347  fv Log-Normal      RP(P), Gamma    FALSE #> 1415    89 0.9099395 0.169648022  fv Log-Normal      RP(P), Gamma    FALSE #> 1431    90 0.7941829 0.150612563  fv Log-Normal      RP(P), Gamma    FALSE #> 1447    91 0.7956442 0.149468843  fv Log-Normal      RP(P), Gamma    FALSE #> 1463    92 0.7891605 0.150545862  fv Log-Normal      RP(P), Gamma    FALSE #> 1479    93 0.5507555 0.107524863  fv Log-Normal      RP(P), Gamma    FALSE #> 1495    94 0.6893063 0.131615461  fv Log-Normal      RP(P), Gamma    FALSE #> 1511    95 0.6382982 0.123572285  fv Log-Normal      RP(P), Gamma    FALSE #> 1527    96 0.5046216 0.099786695  fv Log-Normal      RP(P), Gamma    FALSE #> 1543    97 0.7335341 0.140274698  fv Log-Normal      RP(P), Gamma    FALSE #> 1559    98 0.4142127 0.083239347  fv Log-Normal      RP(P), Gamma    FALSE #> 1575    99 0.6777154 0.128918607  fv Log-Normal      RP(P), Gamma    FALSE #> 1591   100 0.5891772 0.114720160  fv Log-Normal      RP(P), Gamma    FALSE #> 1607   101 0.5518648 0.107174335  fv Log-Normal      RP(P), Gamma    FALSE #> 1623   102 0.4756834 0.094711857  fv Log-Normal      RP(P), Gamma    FALSE #> 1639   103 0.7016967 0.133963829  fv Log-Normal      RP(P), Gamma    FALSE #> 1655   104 0.7084303 0.137263107  fv Log-Normal      RP(P), Gamma    FALSE #> 1671   105 0.5064685 0.102906578  fv Log-Normal      RP(P), Gamma    FALSE #> 1687   106 0.5857525 0.114320345  fv Log-Normal      RP(P), Gamma    FALSE #> 1703   107 0.6995063 0.132392724  fv Log-Normal      RP(P), Gamma    FALSE #> 1719   108 0.6165509 0.119326267  fv Log-Normal      RP(P), Gamma    FALSE #> 1735   109 0.8984590 0.168924157  fv Log-Normal      RP(P), Gamma    FALSE #> 1751   110 0.7971634 0.150429620  fv Log-Normal      RP(P), Gamma    FALSE #> 1767   111 0.6308884 0.123949462  fv Log-Normal      RP(P), Gamma    FALSE #> 1783   112 0.6636078 0.127316904  fv Log-Normal      RP(P), Gamma    FALSE #> 1799   113 0.7259975 0.136892504  fv Log-Normal      RP(P), Gamma    FALSE #> 1815   114 0.6262837 0.122125778  fv Log-Normal      RP(P), Gamma    FALSE #> 1831   115 0.6652682 0.127308897  fv Log-Normal      RP(P), Gamma    FALSE #> 1847   116 0.6770393 0.129129051  fv Log-Normal      RP(P), Gamma    FALSE #> 1863   117 0.7575098 0.143016176  fv Log-Normal      RP(P), Gamma    FALSE #> 1879   118 0.5399997 0.105372939  fv Log-Normal      RP(P), Gamma    FALSE #> 1895   119 0.5340591 0.104867540  fv Log-Normal      RP(P), Gamma    FALSE #> 1911   120 0.7487613 0.142422272  fv Log-Normal      RP(P), Gamma    FALSE #> 1927   121 0.6742231 0.129655167  fv Log-Normal      RP(P), Gamma    FALSE #> 1943   122 0.5368862 0.108010594  fv Log-Normal      RP(P), Gamma    FALSE #> 1959   123 0.4854876 0.096157026  fv Log-Normal      RP(P), Gamma    FALSE #> 1975   124 0.5249067 0.104010179  fv Log-Normal      RP(P), Gamma    FALSE #> 1991   125 0.4728895 0.093518687  fv Log-Normal      RP(P), Gamma    FALSE #> 2007   126 0.9488240 0.174441002  fv Log-Normal      RP(P), Gamma    FALSE #> 2023   127 0.4311185 0.086119704  fv Log-Normal      RP(P), Gamma    FALSE #> 2039   128 0.4413847 0.087730859  fv Log-Normal      RP(P), Gamma    FALSE #> 2055   129        NA          NA  fv Log-Normal      RP(P), Gamma       NA #> 2071   130 0.5336320 0.106231024  fv Log-Normal      RP(P), Gamma    FALSE #> 2087   131 0.5858983 0.113618046  fv Log-Normal      RP(P), Gamma    FALSE #> 2103   132 0.6742043 0.128792567  fv Log-Normal      RP(P), Gamma    FALSE #> 2119   133 0.8441107 0.157692189  fv Log-Normal      RP(P), Gamma    FALSE #> 2135   134 0.8722116 0.161293518  fv Log-Normal      RP(P), Gamma    FALSE #> 2151   135 0.6602743 0.128176844  fv Log-Normal      RP(P), Gamma    FALSE #> 2167   136 0.5612475 0.112751238  fv Log-Normal      RP(P), Gamma    FALSE #> 2183   137 0.4623204 0.092357534  fv Log-Normal      RP(P), Gamma    FALSE #> 2199   138 0.4908476 0.097235287  fv Log-Normal      RP(P), Gamma    FALSE #> 2215   139 0.6199716 0.119201745  fv Log-Normal      RP(P), Gamma    FALSE #> 2231   140 0.6891782 0.130965978  fv Log-Normal      RP(P), Gamma    FALSE #> 2247   141 0.4059617 0.082546224  fv Log-Normal      RP(P), Gamma    FALSE #> 2263   142 0.4534912 0.090599077  fv Log-Normal      RP(P), Gamma    FALSE #> 2279   143 0.5205738 0.101978989  fv Log-Normal      RP(P), Gamma    FALSE #> 2295   144 0.6658738 0.130280150  fv Log-Normal      RP(P), Gamma    FALSE #> 2311   145 0.4853461 0.095873172  fv Log-Normal      RP(P), Gamma    FALSE #> 2327   146 0.6720809 0.128706896  fv Log-Normal      RP(P), Gamma    FALSE #> 2343   147 0.6507118 0.128489909  fv Log-Normal      RP(P), Gamma    FALSE #> 2359   148 0.5095945 0.100822955  fv Log-Normal      RP(P), Gamma    FALSE #> 2375   149 0.3835714 0.078576851  fv Log-Normal      RP(P), Gamma    FALSE #> 2391   150 0.5016718 0.099016609  fv Log-Normal      RP(P), Gamma    FALSE #> 2407   151 0.8315877 0.156138668  fv Log-Normal      RP(P), Gamma    FALSE #> 2423   152 0.6110434 0.117965209  fv Log-Normal      RP(P), Gamma    FALSE #> 2439   153 0.7767963 0.147635467  fv Log-Normal      RP(P), Gamma    FALSE #> 2455   154 0.6464367 0.123675217  fv Log-Normal      RP(P), Gamma    FALSE #> 2471   155 0.9166992 0.171012178  fv Log-Normal      RP(P), Gamma    FALSE #> 2487   156 0.5371060 0.105038383  fv Log-Normal      RP(P), Gamma    FALSE #> 2503   157 0.5603420 0.109709264  fv Log-Normal      RP(P), Gamma    FALSE #> 2519   158 0.6131854 0.119373111  fv Log-Normal      RP(P), Gamma    FALSE #> 2535   159 0.6606685 0.127011784  fv Log-Normal      RP(P), Gamma    FALSE #> 2551   160 0.6082429 0.116880821  fv Log-Normal      RP(P), Gamma    FALSE #> 2567   161 0.8477261 0.159265826  fv Log-Normal      RP(P), Gamma    FALSE #> 2583   162 0.8610655 0.160638530  fv Log-Normal      RP(P), Gamma    FALSE #> 2599   163 0.5255327 0.102820821  fv Log-Normal      RP(P), Gamma    FALSE #> 2615   164 0.6363234 0.123177257  fv Log-Normal      RP(P), Gamma    FALSE #> 2631   165 0.4847113 0.095621852  fv Log-Normal      RP(P), Gamma    FALSE #> 2647   166 0.4273386 0.086136647  fv Log-Normal      RP(P), Gamma    FALSE #> 2663   167 0.6483222 0.124315665  fv Log-Normal      RP(P), Gamma    FALSE #> 2679   168 0.7464834 0.140802165  fv Log-Normal      RP(P), Gamma    FALSE #> 2695   169 0.6310328 0.122313242  fv Log-Normal      RP(P), Gamma    FALSE #> 2711   170 0.6614880 0.126258548  fv Log-Normal      RP(P), Gamma    FALSE #> 2727   171 0.7041851 0.133318185  fv Log-Normal      RP(P), Gamma    FALSE #> 2743   172 0.6398290 0.122342065  fv Log-Normal      RP(P), Gamma    FALSE #> 2759   173 0.7006805 0.134276835  fv Log-Normal      RP(P), Gamma    FALSE #> 2775   174 0.5291788 0.103456703  fv Log-Normal      RP(P), Gamma    FALSE #> 2791   175 0.7108273 0.135795471  fv Log-Normal      RP(P), Gamma    FALSE #> 2807   176 0.8661291 0.161557935  fv Log-Normal      RP(P), Gamma    FALSE #> 2823   177 0.6642310 0.126471594  fv Log-Normal      RP(P), Gamma    FALSE #> 2839   178 0.4796659 0.095097392  fv Log-Normal      RP(P), Gamma    FALSE #> 2855   179 0.7824077 0.146493201  fv Log-Normal      RP(P), Gamma    FALSE #> 2871   180 0.4968833 0.098150177  fv Log-Normal      RP(P), Gamma    FALSE #> 2887   181 0.6323696 0.121435745  fv Log-Normal      RP(P), Gamma    FALSE #> 2903   182 1.0216845 0.186453940  fv Log-Normal      RP(P), Gamma     TRUE #> 2919   183 0.6566254 0.127917698  fv Log-Normal      RP(P), Gamma    FALSE #> 2935   184 0.8214407 0.153256632  fv Log-Normal      RP(P), Gamma    FALSE #> 2951   185 0.7216302 0.137253976  fv Log-Normal      RP(P), Gamma    FALSE #> 2967   186 0.6969526 0.133055560  fv Log-Normal      RP(P), Gamma    FALSE #> 2983   187 0.6428409 0.124161801  fv Log-Normal      RP(P), Gamma    FALSE #> 2999   188 0.8407790 0.159841769  fv Log-Normal      RP(P), Gamma    FALSE #> 3015   189 0.6289527 0.121021866  fv Log-Normal      RP(P), Gamma    FALSE #> 3031   190 0.6326976 0.120915735  fv Log-Normal      RP(P), Gamma    FALSE #> 3047   191 0.6249393 0.120592489  fv Log-Normal      RP(P), Gamma    FALSE #> 3063   192 0.6598537 0.128466551  fv Log-Normal      RP(P), Gamma    FALSE #> 3079   193 0.6102061 0.117379674  fv Log-Normal      RP(P), Gamma    FALSE #> 3095   194 0.8914916 0.165672989  fv Log-Normal      RP(P), Gamma    FALSE #> 3111   195 0.5772301 0.113864924  fv Log-Normal      RP(P), Gamma    FALSE #> 3127   196 0.5383756 0.105235105  fv Log-Normal      RP(P), Gamma    FALSE #> 3143   197 0.6041119 0.116883514  fv Log-Normal      RP(P), Gamma    FALSE #> 3159   198 0.7005811 0.133773352  fv Log-Normal      RP(P), Gamma    FALSE #> 3175   199 0.4750485 0.094149962  fv Log-Normal      RP(P), Gamma    FALSE #> 3191   200 0.5370248 0.105409839  fv Log-Normal      RP(P), Gamma    FALSE #> 3207   201 0.7905997 0.148883784  fv Log-Normal      RP(P), Gamma    FALSE #> 3223   202 0.6263271 0.120314826  fv Log-Normal      RP(P), Gamma    FALSE #> 3239   203 0.5566798 0.108533443  fv Log-Normal      RP(P), Gamma    FALSE #> 3255   204 0.5878622 0.114038141  fv Log-Normal      RP(P), Gamma    FALSE #> 3271   205 0.5479470 0.106767841  fv Log-Normal      RP(P), Gamma    FALSE #> 3287   206 0.6715801 0.128670374  fv Log-Normal      RP(P), Gamma    FALSE #> 3303   207 0.8542152 0.163744329  fv Log-Normal      RP(P), Gamma    FALSE #> 3319   208 0.8157609 0.151809241  fv Log-Normal      RP(P), Gamma    FALSE #> 3335   209 0.5728611 0.111944591  fv Log-Normal      RP(P), Gamma    FALSE #> 3351   210 0.5943906 0.115022190  fv Log-Normal      RP(P), Gamma    FALSE #> 3367   211 0.7064552 0.134382106  fv Log-Normal      RP(P), Gamma    FALSE #> 3383   212 0.6689386 0.127628218  fv Log-Normal      RP(P), Gamma    FALSE #> 3399   213 0.5688727 0.111551542  fv Log-Normal      RP(P), Gamma    FALSE #> 3415   214 0.5600375 0.108774437  fv Log-Normal      RP(P), Gamma    FALSE #> 3431   215 0.6737893 0.131910998  fv Log-Normal      RP(P), Gamma    FALSE #> 3447   216 0.8405789 0.157041468  fv Log-Normal      RP(P), Gamma    FALSE #> 3463   217 0.6564690 0.126109444  fv Log-Normal      RP(P), Gamma    FALSE #> 3479   218 0.6246779 0.123646184  fv Log-Normal      RP(P), Gamma    FALSE #> 3495   219 0.8259887 0.156771669  fv Log-Normal      RP(P), Gamma    FALSE #> 3511   220 0.7024489 0.133066264  fv Log-Normal      RP(P), Gamma    FALSE #> 3527   221 0.5596475 0.109357114  fv Log-Normal      RP(P), Gamma    FALSE #> 3543   222 0.3319187 0.068263082  fv Log-Normal      RP(P), Gamma    FALSE #> 3559   223 0.4898847 0.096767377  fv Log-Normal      RP(P), Gamma    FALSE #> 3575   224 0.4907177 0.096440093  fv Log-Normal      RP(P), Gamma    FALSE #> 3591   225 0.7652595 0.144819052  fv Log-Normal      RP(P), Gamma    FALSE #> 3607   226 0.8552764 0.158589758  fv Log-Normal      RP(P), Gamma    FALSE #> 3623   227 0.6388617 0.122214127  fv Log-Normal      RP(P), Gamma    FALSE #> 3639   228 0.7198722 0.136042538  fv Log-Normal      RP(P), Gamma    FALSE #> 3655   229 0.3795975 0.077804857  fv Log-Normal      RP(P), Gamma    FALSE #> 3671   230 0.5809617 0.113716968  fv Log-Normal      RP(P), Gamma    FALSE #> 3687   231 0.5863665 0.113707295  fv Log-Normal      RP(P), Gamma    FALSE #> 3703   232 0.8032751 0.151280169  fv Log-Normal      RP(P), Gamma    FALSE #> 3719   233 0.8531541 0.160153943  fv Log-Normal      RP(P), Gamma    FALSE #> 3735   234 0.8495275 0.159594009  fv Log-Normal      RP(P), Gamma    FALSE #> 3751   235 0.4897131 0.096464651  fv Log-Normal      RP(P), Gamma    FALSE #> 3767   236 0.5762813 0.112345236  fv Log-Normal      RP(P), Gamma    FALSE #> 3783   237 0.5286123 0.104396860  fv Log-Normal      RP(P), Gamma    FALSE #> 3799   238 0.7811056 0.148031077  fv Log-Normal      RP(P), Gamma    FALSE #> 3815   239 0.8198879 0.155297026  fv Log-Normal      RP(P), Gamma    FALSE #> 3831   240 0.5414650 0.105722595  fv Log-Normal      RP(P), Gamma    FALSE #> 3847   241 0.6511463 0.125298011  fv Log-Normal      RP(P), Gamma    FALSE #> 3863   242 0.4836988 0.095465475  fv Log-Normal      RP(P), Gamma    FALSE #> 3879   243 0.6196244 0.120104981  fv Log-Normal      RP(P), Gamma    FALSE #> 3895   244 0.5113606 0.100849696  fv Log-Normal      RP(P), Gamma    FALSE #> 3911   245 0.4278909 0.085833193  fv Log-Normal      RP(P), Gamma    FALSE #> 3927   246 0.7643256 0.148247377  fv Log-Normal      RP(P), Gamma    FALSE #> 3943   247 0.6396835 0.124646729  fv Log-Normal      RP(P), Gamma    FALSE #> 3959   248 0.8887262 0.165189703  fv Log-Normal      RP(P), Gamma    FALSE #> 3975   249 0.5107049 0.100257685  fv Log-Normal      RP(P), Gamma    FALSE #> 3991   250 0.7077054 0.135338727  fv Log-Normal      RP(P), Gamma    FALSE #> 4007   251 0.5668351 0.110779312  fv Log-Normal      RP(P), Gamma    FALSE #> 4023   252 0.4787966 0.096884322  fv Log-Normal      RP(P), Gamma    FALSE #> 4039   253 0.7726230 0.145916040  fv Log-Normal      RP(P), Gamma    FALSE #> 4055   254 0.6804182 0.131478555  fv Log-Normal      RP(P), Gamma    FALSE #> 4071   255 0.8644481 0.162650447  fv Log-Normal      RP(P), Gamma    FALSE #> 4087   256 0.7870450 0.149599723  fv Log-Normal      RP(P), Gamma    FALSE #> 4103   257 0.7192110 0.135991127  fv Log-Normal      RP(P), Gamma    FALSE #> 4119   258 0.4068613 0.083073788  fv Log-Normal      RP(P), Gamma    FALSE #> 4135   259 0.5817998 0.112751709  fv Log-Normal      RP(P), Gamma    FALSE #> 4151   260 0.5469431 0.106420507  fv Log-Normal      RP(P), Gamma    FALSE #> 4167   261 0.7080536 0.133881161  fv Log-Normal      RP(P), Gamma    FALSE #> 4183   262 0.5942497 0.115095777  fv Log-Normal      RP(P), Gamma    FALSE #> 4199   263 0.7020528 0.133587665  fv Log-Normal      RP(P), Gamma    FALSE #> 4215   264 0.7159177 0.137273577  fv Log-Normal      RP(P), Gamma    FALSE #> 4231   265 0.5643244 0.109794624  fv Log-Normal      RP(P), Gamma    FALSE #> 4247   266 0.5478052 0.106965318  fv Log-Normal      RP(P), Gamma    FALSE #> 4263   267 0.5885489 0.115653369  fv Log-Normal      RP(P), Gamma    FALSE #> 4279   268 0.8693749 0.161917429  fv Log-Normal      RP(P), Gamma    FALSE #> 4295   269 0.5582825 0.109290397  fv Log-Normal      RP(P), Gamma    FALSE #> 4311   270 0.5684455 0.110779055  fv Log-Normal      RP(P), Gamma    FALSE #> 4327   271 0.7749650 0.149141098  fv Log-Normal      RP(P), Gamma    FALSE #> 4343   272 0.5156209 0.101591602  fv Log-Normal      RP(P), Gamma    FALSE #> 4359   273 0.6159012 0.118371233  fv Log-Normal      RP(P), Gamma    FALSE #> 4375   274 0.7947242 0.153820357  fv Log-Normal      RP(P), Gamma    FALSE #> 4391   275 0.6368109 0.127096784  fv Log-Normal      RP(P), Gamma    FALSE #> 4407   276 0.6711689 0.127922100  fv Log-Normal      RP(P), Gamma    FALSE #> 4423   277 0.6940475 0.133116364  fv Log-Normal      RP(P), Gamma    FALSE #> 4439   278 0.5152790 0.101199568  fv Log-Normal      RP(P), Gamma    FALSE #> 4455   279 0.8113280 0.153290256  fv Log-Normal      RP(P), Gamma    FALSE #> 4471   280 0.7000853 0.133350179  fv Log-Normal      RP(P), Gamma    FALSE #> 4487   281 0.6962477 0.133227021  fv Log-Normal      RP(P), Gamma    FALSE #> 4503   282 0.5426193 0.105700649  fv Log-Normal      RP(P), Gamma    FALSE #> 4519   283 0.6864975 0.130397237  fv Log-Normal      RP(P), Gamma    FALSE #> 4535   284 0.5396176 0.105832850  fv Log-Normal      RP(P), Gamma    FALSE #> 4551   285 0.5913837 0.114382562  fv Log-Normal      RP(P), Gamma    FALSE #> 4567   286 0.6302251 0.122112449  fv Log-Normal      RP(P), Gamma    FALSE #> 4583   287 0.5331961 0.104369454  fv Log-Normal      RP(P), Gamma    FALSE #> 4599   288 0.5392503 0.105693369  fv Log-Normal      RP(P), Gamma    FALSE #> 4615   289 0.6092166 0.117897281  fv Log-Normal      RP(P), Gamma    FALSE #> 4631   290 0.6196235 0.119781773  fv Log-Normal      RP(P), Gamma    FALSE #> 4647   291 0.6359919 0.121775820  fv Log-Normal      RP(P), Gamma    FALSE #> 4663   292 0.5575946 0.109509524  fv Log-Normal      RP(P), Gamma    FALSE #> 4679   293 0.5651291 0.109070835  fv Log-Normal      RP(P), Gamma    FALSE #> 4695   294 0.6422035 0.123311702  fv Log-Normal      RP(P), Gamma    FALSE #> 4711   295 0.5802791 0.113172050  fv Log-Normal      RP(P), Gamma    FALSE #> 4727   296 0.7555790 0.143540463  fv Log-Normal      RP(P), Gamma    FALSE #> 4743   297 0.3852702 0.078217517  fv Log-Normal      RP(P), Gamma    FALSE #> 4759   298 0.5804362 0.112370909  fv Log-Normal      RP(P), Gamma    FALSE #> 4775   299 0.7034566 0.133837283  fv Log-Normal      RP(P), Gamma    FALSE #> 4791   300 0.5792017 0.112548997  fv Log-Normal      RP(P), Gamma    FALSE #> 4807   301 0.9200582 0.170247237  fv Log-Normal      RP(P), Gamma    FALSE #> 4823   302 0.7453558 0.144203963  fv Log-Normal      RP(P), Gamma    FALSE #> 4839   303 0.5897325 0.114210118  fv Log-Normal      RP(P), Gamma    FALSE #> 4855   304 0.5895917 0.114060297  fv Log-Normal      RP(P), Gamma    FALSE #> 4871   305 0.7011073 0.133304181  fv Log-Normal      RP(P), Gamma    FALSE #> 4887   306 0.5567072 0.109075590  fv Log-Normal      RP(P), Gamma    FALSE #> 4903   307 0.5115247 0.099800267  fv Log-Normal      RP(P), Gamma    FALSE #> 4919   308 0.6127341 0.118267081  fv Log-Normal      RP(P), Gamma    FALSE #> 4935   309 0.5241423 0.102639868  fv Log-Normal      RP(P), Gamma    FALSE #> 4951   310 0.5755538 0.112432453  fv Log-Normal      RP(P), Gamma    FALSE #> 4967   311 0.7951455 0.149340322  fv Log-Normal      RP(P), Gamma    FALSE #> 4983   312 0.5859886 0.113064816  fv Log-Normal      RP(P), Gamma    FALSE #> 4999   313 0.4372528 0.087909712  fv Log-Normal      RP(P), Gamma    FALSE #> 5015   314 0.6147684 0.119382806  fv Log-Normal      RP(P), Gamma    FALSE #> 5031   315 0.5645028 0.109393669  fv Log-Normal      RP(P), Gamma    FALSE #> 5047   316 0.5565989 0.109845464  fv Log-Normal      RP(P), Gamma    FALSE #> 5063   317 0.7191520 0.135613702  fv Log-Normal      RP(P), Gamma    FALSE #> 5079   318 0.5965863 0.120080385  fv Log-Normal      RP(P), Gamma    FALSE #> 5095   319 0.6537813 0.125979738  fv Log-Normal      RP(P), Gamma    FALSE #> 5111   320 0.7201799 0.136255734  fv Log-Normal      RP(P), Gamma    FALSE #> 5127   321 0.8328070 0.157289651  fv Log-Normal      RP(P), Gamma    FALSE #> 5143   322 0.4960487 0.098036056  fv Log-Normal      RP(P), Gamma    FALSE #> 5159   323 0.6557055 0.125129845  fv Log-Normal      RP(P), Gamma    FALSE #> 5175   324 0.4850376 0.096139606  fv Log-Normal      RP(P), Gamma    FALSE #> 5191   325 0.5705067 0.111972275  fv Log-Normal      RP(P), Gamma    FALSE #> 5207   326 0.7884406 0.148717603  fv Log-Normal      RP(P), Gamma    FALSE #> 5223   327 0.4470598 0.088883562  fv Log-Normal      RP(P), Gamma    FALSE #> 5239   328 0.6211920 0.118836862  fv Log-Normal      RP(P), Gamma    FALSE #> 5255   329 0.6073953 0.118395269  fv Log-Normal      RP(P), Gamma    FALSE #> 5271   330 0.4730565 0.093665743  fv Log-Normal      RP(P), Gamma    FALSE #> 5287   331 0.7787809 0.146186396  fv Log-Normal      RP(P), Gamma    FALSE #> 5303   332 0.6139570 0.118138831  fv Log-Normal      RP(P), Gamma    FALSE #> 5319   333 0.4885412 0.097414696  fv Log-Normal      RP(P), Gamma    FALSE #> 5335   334 0.4894316 0.096621925  fv Log-Normal      RP(P), Gamma    FALSE #> 5351   335 0.5028639 0.099176225  fv Log-Normal      RP(P), Gamma    FALSE #> 5367   336 0.7814231 0.148463487  fv Log-Normal      RP(P), Gamma    FALSE #> 5383   337 0.6035500 0.116907362  fv Log-Normal      RP(P), Gamma    FALSE #> 5399   338 0.6560915 0.125409466  fv Log-Normal      RP(P), Gamma    FALSE #> 5415   339 0.5183767 0.102142302  fv Log-Normal      RP(P), Gamma    FALSE #> 5431   340 0.8199144 0.154586635  fv Log-Normal      RP(P), Gamma    FALSE #> 5447   341 0.5944860 0.117533729  fv Log-Normal      RP(P), Gamma    FALSE #> 5463   342 0.5193587 0.101756311  fv Log-Normal      RP(P), Gamma    FALSE #> 5479   343 0.5446257 0.106850374  fv Log-Normal      RP(P), Gamma    FALSE #> 5495   344 0.6177256 0.119809792  fv Log-Normal      RP(P), Gamma    FALSE #> 5511   345 0.5759749 0.111483975  fv Log-Normal      RP(P), Gamma    FALSE #> 5527   346 0.4476355 0.090001470  fv Log-Normal      RP(P), Gamma    FALSE #> 5543   347 0.5928304 0.115552336  fv Log-Normal      RP(P), Gamma    FALSE #> 5559   348 0.5431772 0.107072485  fv Log-Normal      RP(P), Gamma    FALSE #> 5575   349 0.5982843 0.115709329  fv Log-Normal      RP(P), Gamma    FALSE #> 5591   350 0.7122423 0.135849723  fv Log-Normal      RP(P), Gamma    FALSE #> 5607   351 0.5011156 0.098603090  fv Log-Normal      RP(P), Gamma    FALSE #> 5623   352 0.7612241 0.144981811  fv Log-Normal      RP(P), Gamma    FALSE #> 5639   353 0.6852220 0.132046410  fv Log-Normal      RP(P), Gamma    FALSE #> 5655   354 0.5857311 0.113477028  fv Log-Normal      RP(P), Gamma    FALSE #> 5671   355 0.6652417 0.127193917  fv Log-Normal      RP(P), Gamma    FALSE #> 5687   356 0.6173133 0.120742547  fv Log-Normal      RP(P), Gamma    FALSE #> 5703   357 0.9043420 0.173016497  fv Log-Normal      RP(P), Gamma    FALSE #> 5719   358 0.6080989 0.117536852  fv Log-Normal      RP(P), Gamma    FALSE #> 5735   359 0.4819349 0.096115857  fv Log-Normal      RP(P), Gamma    FALSE #> 5751   360 0.5666892 0.109982691  fv Log-Normal      RP(P), Gamma    FALSE #> 5767   361 0.5681239 0.110789224  fv Log-Normal      RP(P), Gamma    FALSE #> 5783   362 0.6273366 0.122363810  fv Log-Normal      RP(P), Gamma    FALSE #> 5799   363 0.5816115 0.114102264  fv Log-Normal      RP(P), Gamma    FALSE #> 5815   364 0.6876475 0.130288820  fv Log-Normal      RP(P), Gamma    FALSE #> 5831   365 0.6489056 0.124382293  fv Log-Normal      RP(P), Gamma    FALSE #> 5847   366 0.5872749 0.113916746  fv Log-Normal      RP(P), Gamma    FALSE #> 5863   367 0.7316313 0.139986854  fv Log-Normal      RP(P), Gamma    FALSE #> 5879   368 0.8058332 0.151315932  fv Log-Normal      RP(P), Gamma    FALSE #> 5895   369 0.5094609 0.100121566  fv Log-Normal      RP(P), Gamma    FALSE #> 5911   370 0.6612134 0.126708507  fv Log-Normal      RP(P), Gamma    FALSE #> 5927   371 0.6350437 0.124249605  fv Log-Normal      RP(P), Gamma    FALSE #> 5943   372 0.4578136 0.091413362  fv Log-Normal      RP(P), Gamma    FALSE #> 5959   373 0.8627763 0.160868809  fv Log-Normal      RP(P), Gamma    FALSE #> 5975   374 0.5059833 0.100171027  fv Log-Normal      RP(P), Gamma    FALSE #> 5991   375 0.6308717 0.122756047  fv Log-Normal      RP(P), Gamma    FALSE #> 6007   376 0.6040654 0.116977417  fv Log-Normal      RP(P), Gamma    FALSE #> 6023   377 0.4763770 0.094353796  fv Log-Normal      RP(P), Gamma    FALSE #> 6039   378 0.5335836 0.104644051  fv Log-Normal      RP(P), Gamma    FALSE #> 6055   379 0.4834626 0.095929962  fv Log-Normal      RP(P), Gamma    FALSE #> 6071   380 0.5706786 0.110657205  fv Log-Normal      RP(P), Gamma    FALSE #> 6087   381 0.6870494 0.130888764  fv Log-Normal      RP(P), Gamma    FALSE #> 6103   382 0.6297807 0.121858418  fv Log-Normal      RP(P), Gamma    FALSE #> 6119   383 0.6695102 0.128506247  fv Log-Normal      RP(P), Gamma    FALSE #> 6135   384 0.5836747 0.112718407  fv Log-Normal      RP(P), Gamma    FALSE #> 6151   385 0.5061154 0.100209905  fv Log-Normal      RP(P), Gamma    FALSE #> 6167   386 0.7746371 0.147352863  fv Log-Normal      RP(P), Gamma    FALSE #> 6183   387 0.5793071 0.114012787  fv Log-Normal      RP(P), Gamma    FALSE #> 6199   388 0.7006456 0.132262925  fv Log-Normal      RP(P), Gamma    FALSE #> 6215   389 0.6591775 0.125828401  fv Log-Normal      RP(P), Gamma    FALSE #> 6231   390 0.5756189 0.112118694  fv Log-Normal      RP(P), Gamma    FALSE #> 6247   391 0.7166769 0.135906531  fv Log-Normal      RP(P), Gamma    FALSE #> 6263   392 0.5582759 0.109346080  fv Log-Normal      RP(P), Gamma    FALSE #> 6279   393 0.5188225 0.102003293  fv Log-Normal      RP(P), Gamma    FALSE #> 6295   394 0.8340129 0.157802893  fv Log-Normal      RP(P), Gamma    FALSE #> 6311   395 0.6561839 0.125677696  fv Log-Normal      RP(P), Gamma    FALSE #> 6327   396 0.8530720 0.159253424  fv Log-Normal      RP(P), Gamma    FALSE #> 6343   397 0.5767037 0.111714735  fv Log-Normal      RP(P), Gamma    FALSE #> 6359   398 0.5759109 0.111597778  fv Log-Normal      RP(P), Gamma    FALSE #> 6375   399 0.7355098 0.139897611  fv Log-Normal      RP(P), Gamma    FALSE #> 6391   400 0.4833498 0.096136542  fv Log-Normal      RP(P), Gamma    FALSE #> 6407   401 0.5287786 0.103547267  fv Log-Normal      RP(P), Gamma    FALSE #> 6423   402 0.4729205 0.094927871  fv Log-Normal      RP(P), Gamma    FALSE #> 6439   403 0.4768322 0.093865073  fv Log-Normal      RP(P), Gamma    FALSE #> 6455   404 0.5503689 0.108894551  fv Log-Normal      RP(P), Gamma    FALSE #> 6471   405 0.4675984 0.093559702  fv Log-Normal      RP(P), Gamma    FALSE #> 6487   406 0.5998105 0.115658274  fv Log-Normal      RP(P), Gamma    FALSE #> 6503   407 0.7071862 0.135917794  fv Log-Normal      RP(P), Gamma    FALSE #> 6519   408 0.4551711 0.092545500  fv Log-Normal      RP(P), Gamma    FALSE #> 6535   409 0.6003096 0.116002539  fv Log-Normal      RP(P), Gamma    FALSE #> 6551   410 0.7354522 0.141341112  fv Log-Normal      RP(P), Gamma    FALSE #> 6567   411 0.5842355 0.114276721  fv Log-Normal      RP(P), Gamma    FALSE #> 6583   412 0.6358926 0.123916656  fv Log-Normal      RP(P), Gamma    FALSE #> 6599   413 0.4809322 0.096109620  fv Log-Normal      RP(P), Gamma    FALSE #> 6615   414 0.8207219 0.154498864  fv Log-Normal      RP(P), Gamma    FALSE #> 6631   415 1.0478283 0.190504759  fv Log-Normal      RP(P), Gamma     TRUE #> 6647   416 0.5063546 0.100886285  fv Log-Normal      RP(P), Gamma    FALSE #> 6663   417 0.5075324 0.100029009  fv Log-Normal      RP(P), Gamma    FALSE #> 6679   418 0.7581325 0.142360888  fv Log-Normal      RP(P), Gamma    FALSE #> 6695   419 0.4093657 0.082325590  fv Log-Normal      RP(P), Gamma    FALSE #> 6711   420 0.6457404 0.124412096  fv Log-Normal      RP(P), Gamma    FALSE #> 6727   421 0.7234085 0.138143903  fv Log-Normal      RP(P), Gamma    FALSE #> 6743   422 0.5477184 0.108345673  fv Log-Normal      RP(P), Gamma    FALSE #> 6759   423 0.5300261 0.103870701  fv Log-Normal      RP(P), Gamma    FALSE #> 6775   424 0.5958915 0.115434340  fv Log-Normal      RP(P), Gamma    FALSE #> 6791   425 0.7100163 0.136393457  fv Log-Normal      RP(P), Gamma    FALSE #> 6807   426 0.7479045 0.142305623  fv Log-Normal      RP(P), Gamma    FALSE #> 6823   427 0.9319722 0.173864781  fv Log-Normal      RP(P), Gamma    FALSE #> 6839   428 0.7297775 0.139498288  fv Log-Normal      RP(P), Gamma    FALSE #> 6855   429 0.6427432 0.123394639  fv Log-Normal      RP(P), Gamma    FALSE #> 6871   430 0.7897896 0.149428903  fv Log-Normal      RP(P), Gamma    FALSE #> 6887   431 0.5758042 0.112117071  fv Log-Normal      RP(P), Gamma    FALSE #> 6903   432 0.7845424 0.148213986  fv Log-Normal      RP(P), Gamma    FALSE #> 6919   433 0.5083695 0.099715747  fv Log-Normal      RP(P), Gamma    FALSE #> 6935   434 0.5697794 0.111842649  fv Log-Normal      RP(P), Gamma    FALSE #> 6951   435 0.4351491 0.087346250  fv Log-Normal      RP(P), Gamma    FALSE #> 6967   436 0.6492604 0.124247657  fv Log-Normal      RP(P), Gamma    FALSE #> 6983   437 0.4988429 0.098454001  fv Log-Normal      RP(P), Gamma    FALSE #> 6999   438 0.7564725 0.143124263  fv Log-Normal      RP(P), Gamma    FALSE #> 7015   439 0.5207554 0.103025427  fv Log-Normal      RP(P), Gamma    FALSE #> 7031   440 0.4006907 0.082110901  fv Log-Normal      RP(P), Gamma    FALSE #> 7047   441 0.5223614 0.103142164  fv Log-Normal      RP(P), Gamma    FALSE #> 7063   442 0.6273843 0.121115548  fv Log-Normal      RP(P), Gamma    FALSE #> 7079   443 0.7123241 0.136178257  fv Log-Normal      RP(P), Gamma    FALSE #> 7095   444 0.8116075 0.154510279  fv Log-Normal      RP(P), Gamma    FALSE #> 7111   445 0.7520363 0.141861132  fv Log-Normal      RP(P), Gamma    FALSE #> 7127   446 0.5504050 0.107298726  fv Log-Normal      RP(P), Gamma    FALSE #> 7143   447 0.7152656 0.135495651  fv Log-Normal      RP(P), Gamma    FALSE #> 7159   448 0.7269417 0.137299228  fv Log-Normal      RP(P), Gamma    FALSE #> 7175   449 0.8130967 0.153586780  fv Log-Normal      RP(P), Gamma    FALSE #> 7191   450 0.5713784 0.110828743  fv Log-Normal      RP(P), Gamma    FALSE #> 7207   451 0.6855537 0.130631019  fv Log-Normal      RP(P), Gamma    FALSE #> 7223   452 0.6852773 0.130601824  fv Log-Normal      RP(P), Gamma    FALSE #> 7239   453 0.6419976 0.123417285  fv Log-Normal      RP(P), Gamma    FALSE #> 7255   454 0.5915648 0.114794688  fv Log-Normal      RP(P), Gamma    FALSE #> 7271   455 0.5989062 0.116767828  fv Log-Normal      RP(P), Gamma    FALSE #> 7287   456 0.4514905 0.090400569  fv Log-Normal      RP(P), Gamma    FALSE #> 7303   457 0.7626711 0.143657175  fv Log-Normal      RP(P), Gamma    FALSE #> 7319   458 0.6695412 0.129232733  fv Log-Normal      RP(P), Gamma    FALSE #> 7335   459 0.7901092 0.149271994  fv Log-Normal      RP(P), Gamma    FALSE #> 7351   460 0.5384375 0.104506896  fv Log-Normal      RP(P), Gamma    FALSE #> 7367   461 0.6738614 0.128328530  fv Log-Normal      RP(P), Gamma    FALSE #> 7383   462 0.5995043 0.115203166  fv Log-Normal      RP(P), Gamma    FALSE #> 7399   463 0.8008576 0.152482024  fv Log-Normal      RP(P), Gamma    FALSE #> 7415   464 0.6534097 0.124409356  fv Log-Normal      RP(P), Gamma    FALSE #> 7431   465 0.7405431 0.140658325  fv Log-Normal      RP(P), Gamma    FALSE #> 7447   466 0.7429010 0.141190155  fv Log-Normal      RP(P), Gamma    FALSE #> 7463   467 0.6592663 0.127357206  fv Log-Normal      RP(P), Gamma    FALSE #> 7479   468 0.7478064 0.140591623  fv Log-Normal      RP(P), Gamma    FALSE #> 7495   469 0.7980469 0.151851588  fv Log-Normal      RP(P), Gamma    FALSE #> 7511   470 0.6707510 0.129109794  fv Log-Normal      RP(P), Gamma    FALSE #> 7527   471 0.5195360 0.101809578  fv Log-Normal      RP(P), Gamma    FALSE #> 7543   472 0.7761691 0.146491082  fv Log-Normal      RP(P), Gamma    FALSE #> 7559   473 0.6077641 0.117774706  fv Log-Normal      RP(P), Gamma    FALSE #> 7575   474 0.8208932 0.153749136  fv Log-Normal      RP(P), Gamma    FALSE #> 7591   475 0.5398973 0.105059599  fv Log-Normal      RP(P), Gamma    FALSE #> 7607   476 0.4413755 0.088778916  fv Log-Normal      RP(P), Gamma    FALSE #> 7623   477 0.4970617 0.099301281  fv Log-Normal      RP(P), Gamma    FALSE #> 7639   478 0.6622706 0.125773445  fv Log-Normal      RP(P), Gamma    FALSE #> 7655   479 0.6789292 0.129891752  fv Log-Normal      RP(P), Gamma    FALSE #> 7671   480 0.9229350 0.172022096  fv Log-Normal      RP(P), Gamma    FALSE #> 7687   481 0.8684971 0.161812769  fv Log-Normal      RP(P), Gamma    FALSE #> 7703   482 0.6084379 0.117279552  fv Log-Normal      RP(P), Gamma    FALSE #> 7719   483 0.7379684 0.139763885  fv Log-Normal      RP(P), Gamma    FALSE #> 7735   484 0.7328743 0.138984469  fv Log-Normal      RP(P), Gamma    FALSE #> 7751   485 0.5262836 0.103060594  fv Log-Normal      RP(P), Gamma    FALSE #> 7767   486 0.3908574 0.078920916  fv Log-Normal      RP(P), Gamma    FALSE #> 7783   487 0.7438818 0.140375079  fv Log-Normal      RP(P), Gamma    FALSE #> 7799   488 0.3983944 0.080663557  fv Log-Normal      RP(P), Gamma    FALSE #> 7815   489 0.6557783 0.126320270  fv Log-Normal      RP(P), Gamma    FALSE #> 7831   490 0.6026455 0.116547326  fv Log-Normal      RP(P), Gamma    FALSE #> 7847   491 0.6247174 0.121016263  fv Log-Normal      RP(P), Gamma    FALSE #> 7863   492 0.4832708 0.095096379  fv Log-Normal      RP(P), Gamma    FALSE #> 7879   493 0.9574865 0.177139532  fv Log-Normal      RP(P), Gamma    FALSE #> 7895   494 0.6006230 0.115956493  fv Log-Normal      RP(P), Gamma    FALSE #> 7911   495 0.7155432 0.135390082  fv Log-Normal      RP(P), Gamma    FALSE #> 7927   496 0.8779148 0.162996545  fv Log-Normal      RP(P), Gamma    FALSE #> 7943   497 0.5217565 0.102371859  fv Log-Normal      RP(P), Gamma    FALSE #> 7959   498 0.6078818 0.118535765  fv Log-Normal      RP(P), Gamma    FALSE #> 7975   499 0.7589340 0.144470802  fv Log-Normal      RP(P), Gamma    FALSE #> 7991   500 0.6576165 0.127056728  fv Log-Normal      RP(P), Gamma    FALSE #> 8007   501 1.1934506 0.215189767  fv Log-Normal      RP(P), Gamma     TRUE #> 8023   502 0.7026905 0.134449675  fv Log-Normal      RP(P), Gamma    FALSE #> 8039   503 0.6461175 0.123792245  fv Log-Normal      RP(P), Gamma    FALSE #> 8055   504 0.7780519 0.146498296  fv Log-Normal      RP(P), Gamma    FALSE #> 8071   505 0.6050506 0.116115429  fv Log-Normal      RP(P), Gamma    FALSE #> 8087   506 0.8133249 0.152842454  fv Log-Normal      RP(P), Gamma    FALSE #> 8103   507 0.5879703 0.113085205  fv Log-Normal      RP(P), Gamma    FALSE #> 8119   508 0.5068504 0.101178044  fv Log-Normal      RP(P), Gamma    FALSE #> 8135   509 0.5746260 0.111451015  fv Log-Normal      RP(P), Gamma    FALSE #> 8151   510 0.5602904 0.108703773  fv Log-Normal      RP(P), Gamma    FALSE #> 8167   511 0.4046575 0.081300884  fv Log-Normal      RP(P), Gamma    FALSE #> 8183   512 0.5938522 0.114988561  fv Log-Normal      RP(P), Gamma    FALSE #> 8199   513 0.6468916 0.123938467  fv Log-Normal      RP(P), Gamma    FALSE #> 8215   514 0.6397314 0.123893154  fv Log-Normal      RP(P), Gamma    FALSE #> 8231   515 0.5028497 0.099639884  fv Log-Normal      RP(P), Gamma    FALSE #> 8247   516 0.6476726 0.124767612  fv Log-Normal      RP(P), Gamma    FALSE #> 8263   517 0.3325667 0.068670557  fv Log-Normal      RP(P), Gamma    FALSE #> 8279   518 0.6558678 0.125826549  fv Log-Normal      RP(P), Gamma    FALSE #> 8295   519 0.6732987 0.128685268  fv Log-Normal      RP(P), Gamma    FALSE #> 8311   520 0.6850792 0.130179158  fv Log-Normal      RP(P), Gamma    FALSE #> 8327   521 0.6370219 0.122012074  fv Log-Normal      RP(P), Gamma    FALSE #> 8343   522 0.4885136 0.096484117  fv Log-Normal      RP(P), Gamma    FALSE #> 8359   523 0.6496220 0.124197298  fv Log-Normal      RP(P), Gamma    FALSE #> 8375   524 0.5234049 0.104270802  fv Log-Normal      RP(P), Gamma    FALSE #> 8391   525 0.6765518 0.130414457  fv Log-Normal      RP(P), Gamma    FALSE #> 8407   526 0.5584063 0.109625927  fv Log-Normal      RP(P), Gamma    FALSE #> 8423   527 0.6834322 0.132081427  fv Log-Normal      RP(P), Gamma    FALSE #> 8439   528 0.7426000 0.140512963  fv Log-Normal      RP(P), Gamma    FALSE #> 8455   529 0.7934196 0.148789101  fv Log-Normal      RP(P), Gamma    FALSE #> 8471   530 0.3948235 0.080023161  fv Log-Normal      RP(P), Gamma    FALSE #> 8487   531 0.7875890 0.147558495  fv Log-Normal      RP(P), Gamma    FALSE #> 8503   532 0.6135217 0.117702935  fv Log-Normal      RP(P), Gamma    FALSE #> 8519   533 0.6120718 0.118048211  fv Log-Normal      RP(P), Gamma    FALSE #> 8535   534 0.6716551 0.129306507  fv Log-Normal      RP(P), Gamma    FALSE #> 8551   535 0.7335196 0.138512829  fv Log-Normal      RP(P), Gamma    FALSE #> 8567   536 0.5204424 0.102465629  fv Log-Normal      RP(P), Gamma    FALSE #> 8583   537 1.0379600 0.188908964  fv Log-Normal      RP(P), Gamma     TRUE #> 8599   538 0.4548943 0.090692268  fv Log-Normal      RP(P), Gamma    FALSE #> 8615   539 0.6713151 0.130815161  fv Log-Normal      RP(P), Gamma    FALSE #> 8631   540 0.5523580 0.107988775  fv Log-Normal      RP(P), Gamma    FALSE #> 8647   541 0.8042797 0.150903144  fv Log-Normal      RP(P), Gamma    FALSE #> 8663   542 0.6949027 0.132583092  fv Log-Normal      RP(P), Gamma    FALSE #> 8679   543 0.7476093 0.142469608  fv Log-Normal      RP(P), Gamma    FALSE #> 8695   544 0.6774908 0.129791800  fv Log-Normal      RP(P), Gamma    FALSE #> 8711   545 0.5143813 0.100902954  fv Log-Normal      RP(P), Gamma    FALSE #> 8727   546 0.8312447 0.156455946  fv Log-Normal      RP(P), Gamma    FALSE #> 8743   547 0.6121114 0.118650971  fv Log-Normal      RP(P), Gamma    FALSE #> 8759   548 0.5140565 0.102068375  fv Log-Normal      RP(P), Gamma    FALSE #> 8775   549 0.7348816 0.138826062  fv Log-Normal      RP(P), Gamma    FALSE #> 8791   550 0.5090552 0.102033236  fv Log-Normal      RP(P), Gamma    FALSE #> 8807   551 0.6688984 0.127755112  fv Log-Normal      RP(P), Gamma    FALSE #> 8823   552 0.6265386 0.120777429  fv Log-Normal      RP(P), Gamma    FALSE #> 8839   553 0.7047650 0.132991368  fv Log-Normal      RP(P), Gamma    FALSE #> 8855   554 0.8291163 0.157127475  fv Log-Normal      RP(P), Gamma    FALSE #> 8871   555 0.6850161 0.130269138  fv Log-Normal      RP(P), Gamma    FALSE #> 8887   556 0.7538022 0.142279468  fv Log-Normal      RP(P), Gamma    FALSE #> 8903   557 0.6250217 0.120230852  fv Log-Normal      RP(P), Gamma    FALSE #> 8919   558 0.6063746 0.117061554  fv Log-Normal      RP(P), Gamma    FALSE #> 8935   559 0.5429581 0.106505362  fv Log-Normal      RP(P), Gamma    FALSE #> 8951   560 0.7137899 0.135857490  fv Log-Normal      RP(P), Gamma    FALSE #> 8967   561 1.0273063 0.187917372  fv Log-Normal      RP(P), Gamma     TRUE #> 8983   562 0.7434955 0.141140034  fv Log-Normal      RP(P), Gamma    FALSE #> 8999   563 0.6801410 0.129591934  fv Log-Normal      RP(P), Gamma    FALSE #> 9015   564 0.5086320 0.099547959  fv Log-Normal      RP(P), Gamma    FALSE #> 9031   565 0.5188484 0.102466411  fv Log-Normal      RP(P), Gamma    FALSE #> 9047   566 0.6244033 0.120264371  fv Log-Normal      RP(P), Gamma    FALSE #> 9063   567 0.5979873 0.115359367  fv Log-Normal      RP(P), Gamma    FALSE #> 9079   568 0.4721114 0.093701853  fv Log-Normal      RP(P), Gamma    FALSE #> 9095   569 0.7965129 0.150098223  fv Log-Normal      RP(P), Gamma    FALSE #> 9111   570 0.4628960 0.091470885  fv Log-Normal      RP(P), Gamma    FALSE #> 9127   571 0.5842951 0.112728421  fv Log-Normal      RP(P), Gamma    FALSE #> 9143   572 0.5708745 0.111699420  fv Log-Normal      RP(P), Gamma    FALSE #> 9159   573 0.5750242 0.111902694  fv Log-Normal      RP(P), Gamma    FALSE #> 9175   574 0.6440778 0.123736426  fv Log-Normal      RP(P), Gamma    FALSE #> 9191   575 0.5468114 0.107030650  fv Log-Normal      RP(P), Gamma    FALSE #> 9207   576 0.5554273 0.108360345  fv Log-Normal      RP(P), Gamma    FALSE #> 9223   577 0.9266912 0.174564789  fv Log-Normal      RP(P), Gamma    FALSE #> 9239   578 0.5261017 0.103127649  fv Log-Normal      RP(P), Gamma    FALSE #> 9255   579 0.5387574 0.106274310  fv Log-Normal      RP(P), Gamma    FALSE #> 9271   580 0.4707019 0.094408535  fv Log-Normal      RP(P), Gamma    FALSE #> 9287   581 0.6504271 0.124298433  fv Log-Normal      RP(P), Gamma    FALSE #> 9303   582 0.6775845 0.129556677  fv Log-Normal      RP(P), Gamma    FALSE #> 9319   583 0.8861042 0.163642549  fv Log-Normal      RP(P), Gamma    FALSE #> 9335   584 0.5002307 0.099003587  fv Log-Normal      RP(P), Gamma    FALSE #> 9351   585 0.6170829 0.118479185  fv Log-Normal      RP(P), Gamma    FALSE #> 9367   586 0.6901922 0.132247790  fv Log-Normal      RP(P), Gamma    FALSE #> 9383   587 0.8271364 0.156625337  fv Log-Normal      RP(P), Gamma    FALSE #> 9399   588 0.4991248 0.098354530  fv Log-Normal      RP(P), Gamma    FALSE #> 9415   589 0.5658254 0.110527743  fv Log-Normal      RP(P), Gamma    FALSE #> 9431   590 0.6760460 0.129168104  fv Log-Normal      RP(P), Gamma    FALSE #> 9447   591 0.7096084 0.134844438  fv Log-Normal      RP(P), Gamma    FALSE #> 9463   592 0.6397263 0.122142964  fv Log-Normal      RP(P), Gamma    FALSE #> 9479   593 0.8485950 0.159290802  fv Log-Normal      RP(P), Gamma    FALSE #> 9495   594 0.5980829 0.115005110  fv Log-Normal      RP(P), Gamma    FALSE #> 9511   595 0.4900971 0.096783028  fv Log-Normal      RP(P), Gamma    FALSE #> 9527   596 0.7574788 0.147358757  fv Log-Normal      RP(P), Gamma    FALSE #> 9543   597 0.5555007 0.108764648  fv Log-Normal      RP(P), Gamma    FALSE #> 9559   598 0.8869603 0.164652912  fv Log-Normal      RP(P), Gamma    FALSE #> 9575   599 0.7172531 0.139602364  fv Log-Normal      RP(P), Gamma    FALSE #> 9591   600 0.4875005 0.096751810  fv Log-Normal      RP(P), Gamma    FALSE #> 9607   601 1.0034908 0.185067542  fv Log-Normal      RP(P), Gamma     TRUE #> 9623   602 0.9315667 0.173569567  fv Log-Normal      RP(P), Gamma    FALSE #> 9639   603 0.3891561 0.079134558  fv Log-Normal      RP(P), Gamma    FALSE #> 9655   604 0.6831090 0.130655727  fv Log-Normal      RP(P), Gamma    FALSE #> 9671   605 1.2021178 0.217657229  fv Log-Normal      RP(P), Gamma     TRUE #> 9687   606 0.6513685 0.125714802  fv Log-Normal      RP(P), Gamma    FALSE #> 9703   607 0.5322629 0.105264233  fv Log-Normal      RP(P), Gamma    FALSE #> 9719   608 0.3897829 0.078912911  fv Log-Normal      RP(P), Gamma    FALSE #> 9735   609 0.7388302 0.139633573  fv Log-Normal      RP(P), Gamma    FALSE #> 9751   610 0.5779827 0.112718737  fv Log-Normal      RP(P), Gamma    FALSE #> 9767   611 0.7309416 0.140033806  fv Log-Normal      RP(P), Gamma    FALSE #> 9783   612 0.4843671 0.095423699  fv Log-Normal      RP(P), Gamma    FALSE #> 9799   613 0.6706920 0.127546045  fv Log-Normal      RP(P), Gamma    FALSE #> 9815   614 0.6183168 0.118772783  fv Log-Normal      RP(P), Gamma    FALSE #> 9831   615 0.7045260 0.133355951  fv Log-Normal      RP(P), Gamma    FALSE #> 9847   616 0.6489493 0.123879789  fv Log-Normal      RP(P), Gamma    FALSE #> 9863   617 0.6632689 0.126921727  fv Log-Normal      RP(P), Gamma    FALSE #> 9879   618 0.6334784 0.123145460  fv Log-Normal      RP(P), Gamma    FALSE #> 9895   619 0.7035638 0.133736565  fv Log-Normal      RP(P), Gamma    FALSE #> 9911   620 0.7020430 0.134210585  fv Log-Normal      RP(P), Gamma    FALSE #> 9927   621 0.4819005 0.094952770  fv Log-Normal      RP(P), Gamma    FALSE #> 9943   622 0.5397034 0.105579639  fv Log-Normal      RP(P), Gamma    FALSE #> 9959   623 0.7881921 0.149884077  fv Log-Normal      RP(P), Gamma    FALSE #> 9975   624 0.5203504 0.102733074  fv Log-Normal      RP(P), Gamma    FALSE #> 9991   625 0.6837447 0.131406762  fv Log-Normal      RP(P), Gamma    FALSE #> 10007  626 0.5549372 0.108180877  fv Log-Normal      RP(P), Gamma    FALSE #> 10023  627 0.5179683 0.101178304  fv Log-Normal      RP(P), Gamma    FALSE #> 10039  628 0.6020692 0.118086101  fv Log-Normal      RP(P), Gamma    FALSE #> 10055  629 0.6000282 0.116646938  fv Log-Normal      RP(P), Gamma    FALSE #> 10071  630 0.7279731 0.137843137  fv Log-Normal      RP(P), Gamma    FALSE #> 10087  631 0.6027202 0.116593410  fv Log-Normal      RP(P), Gamma    FALSE #> 10103  632 0.6537910 0.125818670  fv Log-Normal      RP(P), Gamma    FALSE #> 10119  633 0.4513900 0.090185550  fv Log-Normal      RP(P), Gamma    FALSE #> 10135  634 0.5375152 0.105208433  fv Log-Normal      RP(P), Gamma    FALSE #> 10151  635 0.7997065 0.151945464  fv Log-Normal      RP(P), Gamma    FALSE #> 10167  636 0.3688985 0.074968576  fv Log-Normal      RP(P), Gamma    FALSE #> 10183  637 0.8181358 0.153742550  fv Log-Normal      RP(P), Gamma    FALSE #> 10199  638 0.6190300 0.120041647  fv Log-Normal      RP(P), Gamma    FALSE #> 10215  639 0.4075020 0.082684708  fv Log-Normal      RP(P), Gamma    FALSE #> 10231  640 0.6079183 0.117406864  fv Log-Normal      RP(P), Gamma    FALSE #> 10247  641 0.5327102 0.105110772  fv Log-Normal      RP(P), Gamma    FALSE #> 10263  642 0.5627774 0.109736079  fv Log-Normal      RP(P), Gamma    FALSE #> 10279  643 0.6140868 0.118512864  fv Log-Normal      RP(P), Gamma    FALSE #> 10295  644 0.5859136 0.113867905  fv Log-Normal      RP(P), Gamma    FALSE #> 10311  645 0.7201751 0.137426049  fv Log-Normal      RP(P), Gamma    FALSE #> 10327  646        NA          NA  fv Log-Normal      RP(P), Gamma       NA #> 10343  647 0.5681908 0.110136754  fv Log-Normal      RP(P), Gamma    FALSE #> 10359  648 0.9305917 0.172374754  fv Log-Normal      RP(P), Gamma    FALSE #> 10375  649 0.5485075 0.107764779  fv Log-Normal      RP(P), Gamma    FALSE #> 10391  650 0.7601556 0.143756671  fv Log-Normal      RP(P), Gamma    FALSE #> 10407  651 0.6466322 0.123731016  fv Log-Normal      RP(P), Gamma    FALSE #> 10423  652 1.0102019 0.184233698  fv Log-Normal      RP(P), Gamma     TRUE #> 10439  653 0.4677185 0.093001021  fv Log-Normal      RP(P), Gamma    FALSE #> 10455  654 0.5012781 0.099290261  fv Log-Normal      RP(P), Gamma    FALSE #> 10471  655 0.6184514 0.119322143  fv Log-Normal      RP(P), Gamma    FALSE #> 10487  656 0.5893034 0.114337156  fv Log-Normal      RP(P), Gamma    FALSE #> 10503  657 0.4700947 0.093330712  fv Log-Normal      RP(P), Gamma    FALSE #> 10519  658 0.9548714 0.176352345  fv Log-Normal      RP(P), Gamma    FALSE #> 10535  659 0.9221158 0.172214444  fv Log-Normal      RP(P), Gamma    FALSE #> 10551  660 0.6906597 0.131068552  fv Log-Normal      RP(P), Gamma    FALSE #> 10567  661 0.4580311 0.090771001  fv Log-Normal      RP(P), Gamma    FALSE #> 10583  662 0.5164133 0.101474521  fv Log-Normal      RP(P), Gamma    FALSE #> 10599  663 0.5910451 0.114456254  fv Log-Normal      RP(P), Gamma    FALSE #> 10615  664 0.6069571 0.116792001  fv Log-Normal      RP(P), Gamma    FALSE #> 10631  665 0.7872832 0.148967481  fv Log-Normal      RP(P), Gamma    FALSE #> 10647  666 0.9872431 0.180995966  fv Log-Normal      RP(P), Gamma     TRUE #> 10663  667 0.5861609 0.113728094  fv Log-Normal      RP(P), Gamma    FALSE #> 10679  668 0.5965077 0.116224148  fv Log-Normal      RP(P), Gamma    FALSE #> 10695  669 0.7858658 0.148111774  fv Log-Normal      RP(P), Gamma    FALSE #> 10711  670 0.5644456 0.111070175  fv Log-Normal      RP(P), Gamma    FALSE #> 10727  671 0.7257817 0.138317915  fv Log-Normal      RP(P), Gamma    FALSE #> 10743  672 0.8699537 0.162873189  fv Log-Normal      RP(P), Gamma    FALSE #> 10759  673        NA          NA  fv Log-Normal      RP(P), Gamma       NA #> 10775  674 0.7477157 0.142416167  fv Log-Normal      RP(P), Gamma    FALSE #> 10791  675 0.5433898 0.107245880  fv Log-Normal      RP(P), Gamma    FALSE #> 10807  676 0.8399640 0.157547560  fv Log-Normal      RP(P), Gamma    FALSE #> 10823  677 0.6227503 0.120604554  fv Log-Normal      RP(P), Gamma    FALSE #> 10839  678 0.5245707 0.103511296  fv Log-Normal      RP(P), Gamma    FALSE #> 10855  679 0.5837353 0.114105618  fv Log-Normal      RP(P), Gamma    FALSE #> 10871  680 0.6687400 0.128093769  fv Log-Normal      RP(P), Gamma    FALSE #> 10887  681 0.8689437 0.162084794  fv Log-Normal      RP(P), Gamma    FALSE #> 10903  682 0.5411130 0.105287312  fv Log-Normal      RP(P), Gamma    FALSE #> 10919  683 0.7576341 0.145307823  fv Log-Normal      RP(P), Gamma    FALSE #> 10935  684 0.9589529 0.177509901  fv Log-Normal      RP(P), Gamma    FALSE #> 10951  685 0.5633214 0.109342344  fv Log-Normal      RP(P), Gamma    FALSE #> 10967  686 0.8200752 0.154050410  fv Log-Normal      RP(P), Gamma    FALSE #> 10983  687 0.5295936 0.103602159  fv Log-Normal      RP(P), Gamma    FALSE #> 10999  688 0.5361570 0.105208722  fv Log-Normal      RP(P), Gamma    FALSE #> 11015  689 0.5920704 0.115501697  fv Log-Normal      RP(P), Gamma    FALSE #> 11031  690 0.7275334 0.138140884  fv Log-Normal      RP(P), Gamma    FALSE #> 11047  691 0.7479373 0.145837123  fv Log-Normal      RP(P), Gamma    FALSE #> 11063  692 0.5492636 0.106737488  fv Log-Normal      RP(P), Gamma    FALSE #> 11079  693 0.4530186 0.090401153  fv Log-Normal      RP(P), Gamma    FALSE #> 11095  694 0.6821877 0.130885389  fv Log-Normal      RP(P), Gamma    FALSE #> 11111  695 0.5561848 0.108503923  fv Log-Normal      RP(P), Gamma    FALSE #> 11127  696 0.6698984 0.127785352  fv Log-Normal      RP(P), Gamma    FALSE #> 11143  697 0.8044238 0.152341904  fv Log-Normal      RP(P), Gamma    FALSE #> 11159  698 0.4029591 0.081215489  fv Log-Normal      RP(P), Gamma    FALSE #> 11175  699 0.6220318 0.120794862  fv Log-Normal      RP(P), Gamma    FALSE #> 11191  700 0.4838667 0.095650738  fv Log-Normal      RP(P), Gamma    FALSE #> 11207  701 0.7141305 0.135782693  fv Log-Normal      RP(P), Gamma    FALSE #> 11223  702 0.7876228 0.150480099  fv Log-Normal      RP(P), Gamma    FALSE #> 11239  703 0.6834653 0.131044510  fv Log-Normal      RP(P), Gamma    FALSE #> 11255  704 0.6006202 0.117032734  fv Log-Normal      RP(P), Gamma    FALSE #> 11271  705 0.5825614 0.112553700  fv Log-Normal      RP(P), Gamma    FALSE #> 11287  706 0.6462783 0.123967447  fv Log-Normal      RP(P), Gamma    FALSE #> 11303  707 0.7719009 0.144912433  fv Log-Normal      RP(P), Gamma    FALSE #> 11319  708 0.7589118 0.142597681  fv Log-Normal      RP(P), Gamma    FALSE #> 11335  709 0.7050173 0.137776068  fv Log-Normal      RP(P), Gamma    FALSE #> 11351  710 0.4858904 0.096616911  fv Log-Normal      RP(P), Gamma    FALSE #> 11367  711 0.6714817 0.132119633  fv Log-Normal      RP(P), Gamma    FALSE #> 11383  712 0.6359158 0.122551215  fv Log-Normal      RP(P), Gamma    FALSE #> 11399  713 0.8791749 0.164312628  fv Log-Normal      RP(P), Gamma    FALSE #> 11415  714 0.7282695 0.139130739  fv Log-Normal      RP(P), Gamma    FALSE #> 11431  715 0.6771839 0.128896557  fv Log-Normal      RP(P), Gamma    FALSE #> 11447  716 0.6207014 0.118958633  fv Log-Normal      RP(P), Gamma    FALSE #> 11463  717 0.6726106 0.128777566  fv Log-Normal      RP(P), Gamma    FALSE #> 11479  718 0.7884210 0.149205688  fv Log-Normal      RP(P), Gamma    FALSE #> 11495  719 0.9354300 0.174953745  fv Log-Normal      RP(P), Gamma    FALSE #> 11511  720 0.6328266 0.120907672  fv Log-Normal      RP(P), Gamma    FALSE #> 11527  721 0.5089454 0.100114135  fv Log-Normal      RP(P), Gamma    FALSE #> 11543  722 0.7041724 0.133806495  fv Log-Normal      RP(P), Gamma    FALSE #> 11559  723 0.5814509 0.113499196  fv Log-Normal      RP(P), Gamma    FALSE #> 11575  724 0.6792830 0.131396754  fv Log-Normal      RP(P), Gamma    FALSE #> 11591  725 0.6745890 0.128900101  fv Log-Normal      RP(P), Gamma    FALSE #> 11607  726 0.5696167 0.111100388  fv Log-Normal      RP(P), Gamma    FALSE #> 11623  727 0.6978610 0.132614516  fv Log-Normal      RP(P), Gamma    FALSE #> 11639  728 0.9034155 0.167348520  fv Log-Normal      RP(P), Gamma    FALSE #> 11655  729 0.6633172 0.127045130  fv Log-Normal      RP(P), Gamma    FALSE #> 11671  730 0.7354073 0.139683994  fv Log-Normal      RP(P), Gamma    FALSE #> 11687  731 0.4588272 0.091441953  fv Log-Normal      RP(P), Gamma    FALSE #> 11703  732 0.3973257 0.079866721  fv Log-Normal      RP(P), Gamma    FALSE #> 11719  733 0.7814645 0.146827178  fv Log-Normal      RP(P), Gamma    FALSE #> 11735  734 0.7249903 0.137092513  fv Log-Normal      RP(P), Gamma    FALSE #> 11751  735 0.8071961 0.150405379  fv Log-Normal      RP(P), Gamma    FALSE #> 11767  736 0.7304049 0.138624944  fv Log-Normal      RP(P), Gamma    FALSE #> 11783  737 0.6499469 0.124179968  fv Log-Normal      RP(P), Gamma    FALSE #> 11799  738 0.5145282 0.102065122  fv Log-Normal      RP(P), Gamma    FALSE #> 11815  739 0.5378257 0.105378663  fv Log-Normal      RP(P), Gamma    FALSE #> 11831  740 0.7258771 0.138116188  fv Log-Normal      RP(P), Gamma    FALSE #> 11847  741 0.7920583 0.148213635  fv Log-Normal      RP(P), Gamma    FALSE #> 11863  742 0.5970828 0.115587617  fv Log-Normal      RP(P), Gamma    FALSE #> 11879  743 0.6394701 0.122627568  fv Log-Normal      RP(P), Gamma    FALSE #> 11895  744 0.6091485 0.117450392  fv Log-Normal      RP(P), Gamma    FALSE #> 11911  745 0.6261920 0.120351132  fv Log-Normal      RP(P), Gamma    FALSE #> 11927  746 0.6135938 0.122447852  fv Log-Normal      RP(P), Gamma    FALSE #> 11943  747 0.5673960 0.110262652  fv Log-Normal      RP(P), Gamma    FALSE #> 11959  748 0.8174448 0.154866402  fv Log-Normal      RP(P), Gamma    FALSE #> 11975  749 0.8885850 0.166289328  fv Log-Normal      RP(P), Gamma    FALSE #> 11991  750 0.6699179 0.128164911  fv Log-Normal      RP(P), Gamma    FALSE #> 12007  751 0.7705349 0.145197488  fv Log-Normal      RP(P), Gamma    FALSE #> 12023  752 0.6450425 0.126445127  fv Log-Normal      RP(P), Gamma    FALSE #> 12039  753 0.4026709 0.081871038  fv Log-Normal      RP(P), Gamma    FALSE #> 12055  754 0.6467650 0.123887308  fv Log-Normal      RP(P), Gamma    FALSE #> 12071  755 0.5962017 0.115578760  fv Log-Normal      RP(P), Gamma    FALSE #> 12087  756 0.3445761 0.070995077  fv Log-Normal      RP(P), Gamma    FALSE #> 12103  757 0.6404506 0.123358322  fv Log-Normal      RP(P), Gamma    FALSE #> 12119  758 0.6790225 0.129965624  fv Log-Normal      RP(P), Gamma    FALSE #> 12135  759 0.5793013 0.112522796  fv Log-Normal      RP(P), Gamma    FALSE #> 12151  760 0.8538180 0.161150772  fv Log-Normal      RP(P), Gamma    FALSE #> 12167  761 0.5461966 0.107166035  fv Log-Normal      RP(P), Gamma    FALSE #> 12183  762 0.7113599 0.136036958  fv Log-Normal      RP(P), Gamma    FALSE #> 12199  763 0.5127570 0.101335906  fv Log-Normal      RP(P), Gamma    FALSE #> 12215  764 0.5758858 0.111788456  fv Log-Normal      RP(P), Gamma    FALSE #> 12231  765 0.7675959 0.144097832  fv Log-Normal      RP(P), Gamma    FALSE #> 12247  766 0.5609105 0.108690460  fv Log-Normal      RP(P), Gamma    FALSE #> 12263  767 0.7365808 0.139483235  fv Log-Normal      RP(P), Gamma    FALSE #> 12279  768 0.4824173 0.095129579  fv Log-Normal      RP(P), Gamma    FALSE #> 12295  769 0.8394776 0.157050045  fv Log-Normal      RP(P), Gamma    FALSE #> 12311  770 0.5206753 0.102467205  fv Log-Normal      RP(P), Gamma    FALSE #> 12327  771 0.5324155 0.106859081  fv Log-Normal      RP(P), Gamma    FALSE #> 12343  772 0.5028216 0.098894975  fv Log-Normal      RP(P), Gamma    FALSE #> 12359  773 0.5634591 0.111361709  fv Log-Normal      RP(P), Gamma    FALSE #> 12375  774 0.6726680 0.129487861  fv Log-Normal      RP(P), Gamma    FALSE #> 12391  775 0.6117312 0.118219973  fv Log-Normal      RP(P), Gamma    FALSE #> 12407  776 0.5611248 0.108670367  fv Log-Normal      RP(P), Gamma    FALSE #> 12423  777 0.5629907 0.109897969  fv Log-Normal      RP(P), Gamma    FALSE #> 12439  778 0.5298195 0.103885618  fv Log-Normal      RP(P), Gamma    FALSE #> 12455  779 0.5462480 0.106788201  fv Log-Normal      RP(P), Gamma    FALSE #> 12471  780 0.5444594 0.106379957  fv Log-Normal      RP(P), Gamma    FALSE #> 12487  781 0.6444463 0.124004297  fv Log-Normal      RP(P), Gamma    FALSE #> 12503  782 0.5443616 0.106294312  fv Log-Normal      RP(P), Gamma    FALSE #> 12519  783 0.5651637 0.110239835  fv Log-Normal      RP(P), Gamma    FALSE #> 12535  784 0.7141628 0.136152496  fv Log-Normal      RP(P), Gamma    FALSE #> 12551  785 0.4331883 0.086467176  fv Log-Normal      RP(P), Gamma    FALSE #> 12567  786 0.5881396 0.114710602  fv Log-Normal      RP(P), Gamma    FALSE #> 12583  787 0.8314603 0.155149305  fv Log-Normal      RP(P), Gamma    FALSE #> 12599  788 0.6241300 0.120299910  fv Log-Normal      RP(P), Gamma    FALSE #> 12615  789 0.7653722 0.144630922  fv Log-Normal      RP(P), Gamma    FALSE #> 12631  790 0.6111340 0.117710305  fv Log-Normal      RP(P), Gamma    FALSE #> 12647  791 0.3753609 0.075903655  fv Log-Normal      RP(P), Gamma    FALSE #> 12663  792 0.5553672 0.110018225  fv Log-Normal      RP(P), Gamma    FALSE #> 12679  793 0.7380648 0.139320411  fv Log-Normal      RP(P), Gamma    FALSE #> 12695  794 0.6753683 0.133256274  fv Log-Normal      RP(P), Gamma    FALSE #> 12711  795 0.5768839 0.112455428  fv Log-Normal      RP(P), Gamma    FALSE #> 12727  796 0.5128957 0.100971449  fv Log-Normal      RP(P), Gamma    FALSE #> 12743  797 0.5171431 0.101337411  fv Log-Normal      RP(P), Gamma    FALSE #> 12759  798 0.4026960 0.081677375  fv Log-Normal      RP(P), Gamma    FALSE #> 12775  799 0.6303514 0.120628692  fv Log-Normal      RP(P), Gamma    FALSE #> 12791  800 0.6501893 0.125184344  fv Log-Normal      RP(P), Gamma    FALSE #> 12807  801 0.9250278 0.172573485  fv Log-Normal      RP(P), Gamma    FALSE #> 12823  802 0.6252328 0.119546062  fv Log-Normal      RP(P), Gamma    FALSE #> 12839  803 0.6134816 0.118753122  fv Log-Normal      RP(P), Gamma    FALSE #> 12855  804 0.6678647 0.127903390  fv Log-Normal      RP(P), Gamma    FALSE #> 12871  805 0.8631726 0.164708763  fv Log-Normal      RP(P), Gamma    FALSE #> 12887  806 0.8331630 0.159110944  fv Log-Normal      RP(P), Gamma    FALSE #> 12903  807 0.6846960 0.136036587  fv Log-Normal      RP(P), Gamma    FALSE #> 12919  808 0.4612360 0.091479967  fv Log-Normal      RP(P), Gamma    FALSE #> 12935  809 0.5738387 0.111513989  fv Log-Normal      RP(P), Gamma    FALSE #> 12951  810 0.6283526 0.120695686  fv Log-Normal      RP(P), Gamma    FALSE #> 12967  811 0.4109691 0.082520063  fv Log-Normal      RP(P), Gamma    FALSE #> 12983  812 0.6375459 0.123083940  fv Log-Normal      RP(P), Gamma    FALSE #> 12999  813 0.7069596 0.133763426  fv Log-Normal      RP(P), Gamma    FALSE #> 13015  814 0.6129295 0.118654574  fv Log-Normal      RP(P), Gamma    FALSE #> 13031  815 0.5429190 0.107859435  fv Log-Normal      RP(P), Gamma    FALSE #> 13047  816 0.5861718 0.113598258  fv Log-Normal      RP(P), Gamma    FALSE #> 13063  817 0.4079590 0.082085894  fv Log-Normal      RP(P), Gamma    FALSE #> 13079  818 0.6366459 0.124630856  fv Log-Normal      RP(P), Gamma    FALSE #> 13095  819 0.7049751 0.133589547  fv Log-Normal      RP(P), Gamma    FALSE #> 13111  820 0.8116920 0.153995715  fv Log-Normal      RP(P), Gamma    FALSE #> 13127  821 0.4937436 0.097102999  fv Log-Normal      RP(P), Gamma    FALSE #> 13143  822 0.8114681 0.152991774  fv Log-Normal      RP(P), Gamma    FALSE #> 13159  823 0.9386106 0.175718415  fv Log-Normal      RP(P), Gamma    FALSE #> 13175  824 0.7808530 0.147394509  fv Log-Normal      RP(P), Gamma    FALSE #> 13191  825 0.7047845 0.134917093  fv Log-Normal      RP(P), Gamma    FALSE #> 13207  826 0.7088981 0.135782107  fv Log-Normal      RP(P), Gamma    FALSE #> 13223  827 0.8137925 0.154712370  fv Log-Normal      RP(P), Gamma    FALSE #> 13239  828 0.5961539 0.116832078  fv Log-Normal      RP(P), Gamma    FALSE #> 13255  829 0.6508909 0.125234317  fv Log-Normal      RP(P), Gamma    FALSE #> 13271  830 0.7521623 0.142500178  fv Log-Normal      RP(P), Gamma    FALSE #> 13287  831 0.6926346 0.131352292  fv Log-Normal      RP(P), Gamma    FALSE #> 13303  832 0.4914520 0.097328337  fv Log-Normal      RP(P), Gamma    FALSE #> 13319  833 0.7543088 0.142866110  fv Log-Normal      RP(P), Gamma    FALSE #> 13335  834 0.5803865 0.113194461  fv Log-Normal      RP(P), Gamma    FALSE #> 13351  835 0.6213117 0.120310790  fv Log-Normal      RP(P), Gamma    FALSE #> 13367  836 0.6794638 0.130019762  fv Log-Normal      RP(P), Gamma    FALSE #> 13383  837 0.7571700 0.144029552  fv Log-Normal      RP(P), Gamma    FALSE #> 13399  838 0.6022522 0.116527948  fv Log-Normal      RP(P), Gamma    FALSE #> 13415  839 0.5678387 0.111762360  fv Log-Normal      RP(P), Gamma    FALSE #> 13431  840 0.5794574 0.112732652  fv Log-Normal      RP(P), Gamma    FALSE #> 13447  841 0.9027367 0.169264440  fv Log-Normal      RP(P), Gamma    FALSE #> 13463  842 0.4945054 0.097465716  fv Log-Normal      RP(P), Gamma    FALSE #> 13479  843 0.6164251 0.120453087  fv Log-Normal      RP(P), Gamma    FALSE #> 13495  844 0.7770622 0.145721886  fv Log-Normal      RP(P), Gamma    FALSE #> 13511  845 0.8054185 0.151160755  fv Log-Normal      RP(P), Gamma    FALSE #> 13527  846 0.4947152 0.097800871  fv Log-Normal      RP(P), Gamma    FALSE #> 13543  847 0.8873520 0.164465959  fv Log-Normal      RP(P), Gamma    FALSE #> 13559  848 0.6732286 0.128419353  fv Log-Normal      RP(P), Gamma    FALSE #> 13575  849 0.5501974 0.107615525  fv Log-Normal      RP(P), Gamma    FALSE #> 13591  850 0.7657343 0.145271938  fv Log-Normal      RP(P), Gamma    FALSE #> 13607  851 0.5838296 0.112816077  fv Log-Normal      RP(P), Gamma    FALSE #> 13623  852 0.6089890 0.117360510  fv Log-Normal      RP(P), Gamma    FALSE #> 13639  853 0.8570792 0.158811310  fv Log-Normal      RP(P), Gamma    FALSE #> 13655  854 0.6181706 0.120058291  fv Log-Normal      RP(P), Gamma    FALSE #> 13671  855 0.5443013 0.106559331  fv Log-Normal      RP(P), Gamma    FALSE #> 13687  856 0.7619340 0.144167343  fv Log-Normal      RP(P), Gamma    FALSE #> 13703  857 0.7054784 0.134681813  fv Log-Normal      RP(P), Gamma    FALSE #> 13719  858 0.8737770 0.162469522  fv Log-Normal      RP(P), Gamma    FALSE #> 13735  859 0.8436609 0.158355957  fv Log-Normal      RP(P), Gamma    FALSE #> 13751  860 0.6203294 0.120462203  fv Log-Normal      RP(P), Gamma    FALSE #> 13767  861 0.4246650 0.085201724  fv Log-Normal      RP(P), Gamma    FALSE #> 13783  862 0.5717094 0.110974928  fv Log-Normal      RP(P), Gamma    FALSE #> 13799  863 0.5930878 0.114981994  fv Log-Normal      RP(P), Gamma    FALSE #> 13815  864 0.7889726 0.148845738  fv Log-Normal      RP(P), Gamma    FALSE #> 13831  865 0.8396676 0.157504805  fv Log-Normal      RP(P), Gamma    FALSE #> 13847  866 0.7315134 0.140372989  fv Log-Normal      RP(P), Gamma    FALSE #> 13863  867 0.5339683 0.105161674  fv Log-Normal      RP(P), Gamma    FALSE #> 13879  868 0.8342745 0.157649889  fv Log-Normal      RP(P), Gamma    FALSE #> 13895  869 0.4553345 0.090508558  fv Log-Normal      RP(P), Gamma    FALSE #> 13911  870 0.7264093 0.138973381  fv Log-Normal      RP(P), Gamma    FALSE #> 13927  871 0.4569173 0.091103928  fv Log-Normal      RP(P), Gamma    FALSE #> 13943  872 0.4280552 0.086058153  fv Log-Normal      RP(P), Gamma    FALSE #> 13959  873 0.7410597 0.139690887  fv Log-Normal      RP(P), Gamma    FALSE #> 13975  874 0.6408185 0.123644052  fv Log-Normal      RP(P), Gamma    FALSE #> 13991  875 0.5388062 0.104971339  fv Log-Normal      RP(P), Gamma    FALSE #> 14007  876 0.5538235 0.108515653  fv Log-Normal      RP(P), Gamma    FALSE #> 14023  877 0.5173804 0.102558125  fv Log-Normal      RP(P), Gamma    FALSE #> 14039  878 0.6131328 0.119010688  fv Log-Normal      RP(P), Gamma    FALSE #> 14055  879 0.6097417 0.118099906  fv Log-Normal      RP(P), Gamma    FALSE #> 14071  880 0.7281233 0.137755819  fv Log-Normal      RP(P), Gamma    FALSE #> 14087  881 0.4819108 0.095257938  fv Log-Normal      RP(P), Gamma    FALSE #> 14103  882 0.6543178 0.126842054  fv Log-Normal      RP(P), Gamma    FALSE #> 14119  883 0.5607813 0.109303367  fv Log-Normal      RP(P), Gamma    FALSE #> 14135  884 0.4932391 0.097437433  fv Log-Normal      RP(P), Gamma    FALSE #> 14151  885 0.6588153 0.126232716  fv Log-Normal      RP(P), Gamma    FALSE #> 14167  886 0.5743023 0.112137457  fv Log-Normal      RP(P), Gamma    FALSE #> 14183  887 0.3462275 0.071202207  fv Log-Normal      RP(P), Gamma    FALSE #> 14199  888 0.5389566 0.105124924  fv Log-Normal      RP(P), Gamma    FALSE #> 14215  889 0.6030921 0.116845053  fv Log-Normal      RP(P), Gamma    FALSE #> 14231  890 0.6118626 0.117833825  fv Log-Normal      RP(P), Gamma    FALSE #> 14247  891 0.6524154 0.124896117  fv Log-Normal      RP(P), Gamma    FALSE #> 14263  892 0.9531941 0.178350481  fv Log-Normal      RP(P), Gamma    FALSE #> 14279  893 0.4343296 0.087215814  fv Log-Normal      RP(P), Gamma    FALSE #> 14295  894 0.5594749 0.110073852  fv Log-Normal      RP(P), Gamma    FALSE #> 14311  895 0.7014979 0.134457311  fv Log-Normal      RP(P), Gamma    FALSE #> 14327  896 0.4731205 0.093660204  fv Log-Normal      RP(P), Gamma    FALSE #> 14343  897 0.5714472 0.110989910  fv Log-Normal      RP(P), Gamma    FALSE #> 14359  898 0.6785190 0.129913470  fv Log-Normal      RP(P), Gamma    FALSE #> 14375  899 0.7737308 0.149258753  fv Log-Normal      RP(P), Gamma    FALSE #> 14391  900 0.6258468 0.120819485  fv Log-Normal      RP(P), Gamma    FALSE #> 14407  901 0.6898911 0.131170243  fv Log-Normal      RP(P), Gamma    FALSE #> 14423  902 0.7154328 0.135521156  fv Log-Normal      RP(P), Gamma    FALSE #> 14439  903 0.5104288 0.100779991  fv Log-Normal      RP(P), Gamma    FALSE #> 14455  904 0.5856834 0.113572720  fv Log-Normal      RP(P), Gamma    FALSE #> 14471  905 0.6004749 0.115324014  fv Log-Normal      RP(P), Gamma    FALSE #> 14487  906 0.6359688 0.122586572  fv Log-Normal      RP(P), Gamma    FALSE #> 14503  907 0.5900934 0.115657031  fv Log-Normal      RP(P), Gamma    FALSE #> 14519  908 0.4540465 0.090511303  fv Log-Normal      RP(P), Gamma    FALSE #> 14535  909 0.7511004 0.141521670  fv Log-Normal      RP(P), Gamma    FALSE #> 14551  910 0.5658137 0.110268564  fv Log-Normal      RP(P), Gamma    FALSE #> 14567  911 0.6072191 0.117365255  fv Log-Normal      RP(P), Gamma    FALSE #> 14583  912 0.3616722 0.073972649  fv Log-Normal      RP(P), Gamma    FALSE #> 14599  913 0.5503152 0.107431667  fv Log-Normal      RP(P), Gamma    FALSE #> 14615  914 0.7685300 0.145147343  fv Log-Normal      RP(P), Gamma    FALSE #> 14631  915 0.5856077 0.113156906  fv Log-Normal      RP(P), Gamma    FALSE #> 14647  916 0.6230510 0.119988154  fv Log-Normal      RP(P), Gamma    FALSE #> 14663  917 0.4810465 0.096021894  fv Log-Normal      RP(P), Gamma    FALSE #> 14679  918 0.5535167 0.109209013  fv Log-Normal      RP(P), Gamma    FALSE #> 14695  919 0.6199536 0.120122996  fv Log-Normal      RP(P), Gamma    FALSE #> 14711  920 0.5967302 0.115422824  fv Log-Normal      RP(P), Gamma    FALSE #> 14727  921 0.9743057 0.178872657  fv Log-Normal      RP(P), Gamma    FALSE #> 14743  922 0.5749685 0.112106133  fv Log-Normal      RP(P), Gamma    FALSE #> 14759  923 0.8627857 0.160537625  fv Log-Normal      RP(P), Gamma    FALSE #> 14775  924 0.6123826 0.118440207  fv Log-Normal      RP(P), Gamma    FALSE #> 14791  925 0.6977269 0.134168790  fv Log-Normal      RP(P), Gamma    FALSE #> 14807  926 0.7560266 0.142158465  fv Log-Normal      RP(P), Gamma    FALSE #> 14823  927 0.7244242 0.137428355  fv Log-Normal      RP(P), Gamma    FALSE #> 14839  928 0.6414165 0.123785383  fv Log-Normal      RP(P), Gamma    FALSE #> 14855  929 0.6732490 0.128390941  fv Log-Normal      RP(P), Gamma    FALSE #> 14871  930 0.5125839 0.101497596  fv Log-Normal      RP(P), Gamma    FALSE #> 14887  931 0.7127123 0.136040162  fv Log-Normal      RP(P), Gamma    FALSE #> 14903  932 0.5071163 0.100658331  fv Log-Normal      RP(P), Gamma    FALSE #> 14919  933 0.4956539 0.097351924  fv Log-Normal      RP(P), Gamma    FALSE #> 14935  934 0.6492066 0.125778769  fv Log-Normal      RP(P), Gamma    FALSE #> 14951  935 0.7579194 0.142654366  fv Log-Normal      RP(P), Gamma    FALSE #> 14967  936 0.6662641 0.128059082  fv Log-Normal      RP(P), Gamma    FALSE #> 14983  937 0.6552375 0.124704511  fv Log-Normal      RP(P), Gamma    FALSE #> 14999  938 0.6935610 0.131635443  fv Log-Normal      RP(P), Gamma    FALSE #> 15015  939 0.5076373 0.099638563  fv Log-Normal      RP(P), Gamma    FALSE #> 15031  940 0.6941711 0.133443392  fv Log-Normal      RP(P), Gamma    FALSE #> 15047  941 0.4272667 0.085962338  fv Log-Normal      RP(P), Gamma    FALSE #> 15063  942 0.7084198 0.133980596  fv Log-Normal      RP(P), Gamma    FALSE #> 15079  943 0.4592534 0.091044580  fv Log-Normal      RP(P), Gamma    FALSE #> 15095  944 0.5670107 0.110185647  fv Log-Normal      RP(P), Gamma    FALSE #> 15111  945 0.9419069 0.175234747  fv Log-Normal      RP(P), Gamma    FALSE #> 15127  946 0.7159091 0.136177032  fv Log-Normal      RP(P), Gamma    FALSE #> 15143  947 0.7179454 0.135868745  fv Log-Normal      RP(P), Gamma    FALSE #> 15159  948 0.4495258 0.091309189  fv Log-Normal      RP(P), Gamma    FALSE #> 15175  949 0.5815352 0.112460379  fv Log-Normal      RP(P), Gamma    FALSE #> 15191  950 0.6932335 0.132488165  fv Log-Normal      RP(P), Gamma    FALSE #> 15207  951 0.4666819 0.092380052  fv Log-Normal      RP(P), Gamma    FALSE #> 15223  952 0.5314269 0.103829685  fv Log-Normal      RP(P), Gamma    FALSE #> 15239  953 0.5565247 0.109149397  fv Log-Normal      RP(P), Gamma    FALSE #> 15255  954 0.7841108 0.150127737  fv Log-Normal      RP(P), Gamma    FALSE #> 15271  955 0.6303305 0.121517200  fv Log-Normal      RP(P), Gamma    FALSE #> 15287  956 0.7256964 0.136703077  fv Log-Normal      RP(P), Gamma    FALSE #> 15303  957 0.5263540 0.102902469  fv Log-Normal      RP(P), Gamma    FALSE #> 15319  958 0.5512942 0.108239740  fv Log-Normal      RP(P), Gamma    FALSE #> 15335  959 0.6362485 0.122428233  fv Log-Normal      RP(P), Gamma    FALSE #> 15351  960 0.4981004 0.097951714  fv Log-Normal      RP(P), Gamma    FALSE #> 15367  961 0.7240723 0.136822170  fv Log-Normal      RP(P), Gamma    FALSE #> 15383  962 0.6738336 0.128430099  fv Log-Normal      RP(P), Gamma    FALSE #> 15399  963 0.8590658 0.161400634  fv Log-Normal      RP(P), Gamma    FALSE #> 15415  964 0.6778286 0.131550538  fv Log-Normal      RP(P), Gamma    FALSE #> 15431  965 0.4974168 0.098176690  fv Log-Normal      RP(P), Gamma    FALSE #> 15447  966 0.8272373 0.153861102  fv Log-Normal      RP(P), Gamma    FALSE #> 15463  967 0.8021231 0.151700494  fv Log-Normal      RP(P), Gamma    FALSE #> 15479  968 0.7554846 0.144617670  fv Log-Normal      RP(P), Gamma    FALSE #> 15495  969 0.9243088 0.170805922  fv Log-Normal      RP(P), Gamma    FALSE #> 15511  970 0.7071617 0.135442111  fv Log-Normal      RP(P), Gamma    FALSE #> 15527  971 0.7640821 0.143246252  fv Log-Normal      RP(P), Gamma    FALSE #> 15543  972 0.5395954 0.105794951  fv Log-Normal      RP(P), Gamma    FALSE #> 15559  973 0.7931946 0.148915324  fv Log-Normal      RP(P), Gamma    FALSE #> 15575  974 0.8197008 0.153760685  fv Log-Normal      RP(P), Gamma    FALSE #> 15591  975 0.8907927 0.164905062  fv Log-Normal      RP(P), Gamma    FALSE #> 15607  976 0.7038651 0.135980149  fv Log-Normal      RP(P), Gamma    FALSE #> 15623  977 0.9187497 0.170234899  fv Log-Normal      RP(P), Gamma    FALSE #> 15639  978 0.7007673 0.133951052  fv Log-Normal      RP(P), Gamma    FALSE #> 15655  979 0.5554255 0.108409573  fv Log-Normal      RP(P), Gamma    FALSE #> 15671  980 0.6745765 0.129438354  fv Log-Normal      RP(P), Gamma    FALSE #> 15687  981 0.5670618 0.109771497  fv Log-Normal      RP(P), Gamma    FALSE #> 15703  982 0.5361854 0.104634937  fv Log-Normal      RP(P), Gamma    FALSE #> 15719  983 0.6498347 0.124437335  fv Log-Normal      RP(P), Gamma    FALSE #> 15735  984 0.6185397 0.120212982  fv Log-Normal      RP(P), Gamma    FALSE #> 15751  985 0.7716535 0.145635881  fv Log-Normal      RP(P), Gamma    FALSE #> 15767  986 0.6954360 0.133693819  fv Log-Normal      RP(P), Gamma    FALSE #> 15783  987 0.6610757 0.128995735  fv Log-Normal      RP(P), Gamma    FALSE #> 15799  988 0.7090702 0.134191221  fv Log-Normal      RP(P), Gamma    FALSE #> 15815  989 0.7499270 0.140913712  fv Log-Normal      RP(P), Gamma    FALSE #> 15831  990 0.6791009 0.130402853  fv Log-Normal      RP(P), Gamma    FALSE #> 15847  991 0.7486170 0.141785330  fv Log-Normal      RP(P), Gamma    FALSE #> 15863  992 0.6478979 0.124552181  fv Log-Normal      RP(P), Gamma    FALSE #> 15879  993 0.6378838 0.121975666  fv Log-Normal      RP(P), Gamma    FALSE #> 15895  994 0.6296675 0.123056122  fv Log-Normal      RP(P), Gamma    FALSE #> 15911  995 0.5297010 0.103909524  fv Log-Normal      RP(P), Gamma    FALSE #> 15927  996 0.6733473 0.130527337  fv Log-Normal      RP(P), Gamma    FALSE #> 15943  997 0.5759983 0.111233442  fv Log-Normal      RP(P), Gamma    FALSE #> 15959  998 0.5520605 0.108023635  fv Log-Normal      RP(P), Gamma    FALSE #> 15975  999 0.6755070 0.129234930  fv Log-Normal      RP(P), Gamma    FALSE #> 15991 1000 0.5820900 0.112838328  fv Log-Normal      RP(P), Gamma    FALSE #> 8        1 0.7587269 0.160310074  fv Log-Normal RP(P), Log-Normal    FALSE #> 24       2 0.6427095 0.136481613  fv Log-Normal RP(P), Log-Normal    FALSE #> 40       3 0.8272743 0.174133172  fv Log-Normal RP(P), Log-Normal    FALSE #> 56       4 0.6154492 0.132224678  fv Log-Normal RP(P), Log-Normal    FALSE #> 72       5 1.0040595 0.212010663  fv Log-Normal RP(P), Log-Normal    FALSE #> 88       6 0.8839655 0.187498893  fv Log-Normal RP(P), Log-Normal    FALSE #> 104      7 0.5927076 0.126010284  fv Log-Normal RP(P), Log-Normal    FALSE #> 120      8 0.8303076 0.176094173  fv Log-Normal RP(P), Log-Normal    FALSE #> 136      9 0.7248036 0.153480938  fv Log-Normal RP(P), Log-Normal    FALSE #> 152     10 1.0116901 0.215026028  fv Log-Normal RP(P), Log-Normal    FALSE #> 168     11 0.9163779 0.192812176  fv Log-Normal RP(P), Log-Normal    FALSE #> 184     12 0.5531775 0.117536667  fv Log-Normal RP(P), Log-Normal    FALSE #> 200     13 0.8309998 0.174965974  fv Log-Normal RP(P), Log-Normal    FALSE #> 216     14 0.8142702 0.172262423  fv Log-Normal RP(P), Log-Normal    FALSE #> 232     15 0.7403548 0.157621039  fv Log-Normal RP(P), Log-Normal    FALSE #> 248     16 0.5815212 0.124702775  fv Log-Normal RP(P), Log-Normal    FALSE #> 264     17 0.6448992 0.136415060  fv Log-Normal RP(P), Log-Normal    FALSE #> 280     18 0.8723504 0.185445247  fv Log-Normal RP(P), Log-Normal    FALSE #> 296     19 0.9424444 0.197979689  fv Log-Normal RP(P), Log-Normal    FALSE #> 312     20 0.6112837 0.130269558  fv Log-Normal RP(P), Log-Normal    FALSE #> 328     21 0.7055255 0.150812066  fv Log-Normal RP(P), Log-Normal    FALSE #> 344     22 0.6008341 0.128261543  fv Log-Normal RP(P), Log-Normal    FALSE #> 360     23 0.8761728 0.183388185  fv Log-Normal RP(P), Log-Normal    FALSE #> 376     24 0.8105771 0.171983797  fv Log-Normal RP(P), Log-Normal    FALSE #> 392     25 0.6233797 0.132823464  fv Log-Normal RP(P), Log-Normal    FALSE #> 408     26 0.7552494 0.159767947  fv Log-Normal RP(P), Log-Normal    FALSE #> 424     27 0.5365736 0.118347519  fv Log-Normal RP(P), Log-Normal    FALSE #> 440     28 0.7291543 0.155121274  fv Log-Normal RP(P), Log-Normal    FALSE #> 456     29 1.0757698 0.224219202  fv Log-Normal RP(P), Log-Normal    FALSE #> 472     30 0.7238761 0.156782077  fv Log-Normal RP(P), Log-Normal    FALSE #> 488     31 0.5599923 0.120185524  fv Log-Normal RP(P), Log-Normal    FALSE #> 504     32 0.5305952 0.112891465  fv Log-Normal RP(P), Log-Normal    FALSE #> 520     33 0.7705200 0.164509859  fv Log-Normal RP(P), Log-Normal    FALSE #> 536     34 0.9181142 0.193544815  fv Log-Normal RP(P), Log-Normal    FALSE #> 552     35 0.5262293 0.112984685  fv Log-Normal RP(P), Log-Normal    FALSE #> 568     36 0.5191213 0.111910048  fv Log-Normal RP(P), Log-Normal    FALSE #> 584     37 0.7019126 0.149573895  fv Log-Normal RP(P), Log-Normal    FALSE #> 600     38 0.6378678 0.135525656  fv Log-Normal RP(P), Log-Normal    FALSE #> 616     39 0.8017794 0.170404386  fv Log-Normal RP(P), Log-Normal    FALSE #> 632     40 0.5714472 0.121859157  fv Log-Normal RP(P), Log-Normal    FALSE #> 648     41 0.8335074 0.177134554  fv Log-Normal RP(P), Log-Normal    FALSE #> 664     42 0.5632683 0.120257577  fv Log-Normal RP(P), Log-Normal    FALSE #> 680     43 0.5641544 0.122123217  fv Log-Normal RP(P), Log-Normal    FALSE #> 696     44 0.7949684 0.169464289  fv Log-Normal RP(P), Log-Normal    FALSE #> 712     45 0.6326050 0.134725078  fv Log-Normal RP(P), Log-Normal    FALSE #> 728     46 0.3403314 0.074346940  fv Log-Normal RP(P), Log-Normal    FALSE #> 744     47 0.9563960 0.202431253  fv Log-Normal RP(P), Log-Normal    FALSE #> 760     48 0.8868588 0.187192828  fv Log-Normal RP(P), Log-Normal    FALSE #> 776     49 0.9689607 0.202879027  fv Log-Normal RP(P), Log-Normal    FALSE #> 792     50 0.6034856 0.129155376  fv Log-Normal RP(P), Log-Normal    FALSE #> 808     51 0.8875662 0.188455833  fv Log-Normal RP(P), Log-Normal    FALSE #> 824     52 0.5304852 0.114409866  fv Log-Normal RP(P), Log-Normal    FALSE #> 840     53 0.9347285 0.195611763  fv Log-Normal RP(P), Log-Normal    FALSE #> 856     54 0.7253010 0.153848983  fv Log-Normal RP(P), Log-Normal    FALSE #> 872     55 0.9365095 0.197246816  fv Log-Normal RP(P), Log-Normal    FALSE #> 888     56 0.7698460 0.161108352  fv Log-Normal RP(P), Log-Normal    FALSE #> 904     57 0.9240850 0.195363045  fv Log-Normal RP(P), Log-Normal    FALSE #> 920     58 0.7679395 0.161928888  fv Log-Normal RP(P), Log-Normal    FALSE #> 936     59 0.7182305 0.151499862  fv Log-Normal RP(P), Log-Normal    FALSE #> 952     60 1.0058746 0.216721875  fv Log-Normal RP(P), Log-Normal    FALSE #> 968     61 0.7566231 0.160366843  fv Log-Normal RP(P), Log-Normal    FALSE #> 984     62 0.6235933 0.132341918  fv Log-Normal RP(P), Log-Normal    FALSE #> 1000    63 0.8330331 0.174751715  fv Log-Normal RP(P), Log-Normal    FALSE #> 1016    64 0.7372343 0.154560392  fv Log-Normal RP(P), Log-Normal    FALSE #> 1032    65 0.9324597 0.196214421  fv Log-Normal RP(P), Log-Normal    FALSE #> 1048    66 0.6556111 0.140836763  fv Log-Normal RP(P), Log-Normal    FALSE #> 1064    67 0.6283832 0.133766573  fv Log-Normal RP(P), Log-Normal    FALSE #> 1080    68 0.5259450 0.113787629  fv Log-Normal RP(P), Log-Normal    FALSE #> 1096    69 0.8150040 0.171983367  fv Log-Normal RP(P), Log-Normal    FALSE #> 1112    70 0.7752526 0.163616805  fv Log-Normal RP(P), Log-Normal    FALSE #> 1128    71 1.0256382 0.217584719  fv Log-Normal RP(P), Log-Normal    FALSE #> 1144    72 0.6090315 0.129986511  fv Log-Normal RP(P), Log-Normal    FALSE #> 1160    73 0.7378555 0.157540359  fv Log-Normal RP(P), Log-Normal    FALSE #> 1176    74 0.4266073 0.091598299  fv Log-Normal RP(P), Log-Normal    FALSE #> 1192    75 0.7264828 0.153774539  fv Log-Normal RP(P), Log-Normal    FALSE #> 1208    76 0.6558995 0.140177692  fv Log-Normal RP(P), Log-Normal    FALSE #> 1224    77 0.8527293 0.179762381  fv Log-Normal RP(P), Log-Normal    FALSE #> 1240    78 0.7870716 0.165681047  fv Log-Normal RP(P), Log-Normal    FALSE #> 1256    79 1.0961721 0.229344262  fv Log-Normal RP(P), Log-Normal    FALSE #> 1272    80 0.5928102 0.126126879  fv Log-Normal RP(P), Log-Normal    FALSE #> 1288    81 1.0116718 0.212214328  fv Log-Normal RP(P), Log-Normal    FALSE #> 1304    82 0.6932804 0.146529625  fv Log-Normal RP(P), Log-Normal    FALSE #> 1320    83 0.8128450 0.173169547  fv Log-Normal RP(P), Log-Normal    FALSE #> 1336    84 0.6546543 0.140338914  fv Log-Normal RP(P), Log-Normal    FALSE #> 1352    85 0.6580420 0.139756530  fv Log-Normal RP(P), Log-Normal    FALSE #> 1368    86 0.5651574 0.120395675  fv Log-Normal RP(P), Log-Normal    FALSE #> 1384    87 0.7739794 0.164331266  fv Log-Normal RP(P), Log-Normal    FALSE #> 1400    88 0.7745832 0.167238556  fv Log-Normal RP(P), Log-Normal    FALSE #> 1416    89 1.0368143 0.217170812  fv Log-Normal RP(P), Log-Normal    FALSE #> 1432    90 0.8166873 0.170720378  fv Log-Normal RP(P), Log-Normal    FALSE #> 1448    91 0.9071331 0.190130518  fv Log-Normal RP(P), Log-Normal    FALSE #> 1464    92 0.8923346 0.189677791  fv Log-Normal RP(P), Log-Normal    FALSE #> 1480    93 0.6132879 0.130286551  fv Log-Normal RP(P), Log-Normal    FALSE #> 1496    94 0.8505242 0.181240095  fv Log-Normal RP(P), Log-Normal    FALSE #> 1512    95 0.6782855 0.143566528  fv Log-Normal RP(P), Log-Normal    FALSE #> 1528    96 0.5793421 0.124444915  fv Log-Normal RP(P), Log-Normal    FALSE #> 1544    97 0.8184744 0.172217358  fv Log-Normal RP(P), Log-Normal    FALSE #> 1560    98 0.4638964 0.100253533  fv Log-Normal RP(P), Log-Normal    FALSE #> 1576    99 0.9303806 0.199727243  fv Log-Normal RP(P), Log-Normal    FALSE #> 1592   100 0.6869339 0.148166559  fv Log-Normal RP(P), Log-Normal    FALSE #> 1608   101 0.6467181 0.136969509  fv Log-Normal RP(P), Log-Normal    FALSE #> 1624   102 0.4957626 0.105808839  fv Log-Normal RP(P), Log-Normal    FALSE #> 1640   103 0.7884881 0.166125050  fv Log-Normal RP(P), Log-Normal    FALSE #> 1656   104 0.7369302 0.156103668  fv Log-Normal RP(P), Log-Normal    FALSE #> 1672   105 0.4680770 0.100530696  fv Log-Normal RP(P), Log-Normal    FALSE #> 1688   106 0.6814912 0.146176406  fv Log-Normal RP(P), Log-Normal    FALSE #> 1704   107 0.8653450 0.182292080  fv Log-Normal RP(P), Log-Normal    FALSE #> 1720   108 0.7160621 0.153662080  fv Log-Normal RP(P), Log-Normal    FALSE #> 1736   109 0.9318352 0.195104641  fv Log-Normal RP(P), Log-Normal    FALSE #> 1752   110 0.9333831 0.197785385  fv Log-Normal RP(P), Log-Normal    FALSE #> 1768   111 0.6395728 0.135269065  fv Log-Normal RP(P), Log-Normal    FALSE #> 1784   112 0.7016627 0.147545888  fv Log-Normal RP(P), Log-Normal    FALSE #> 1800   113 0.8576238 0.179983637  fv Log-Normal RP(P), Log-Normal    FALSE #> 1816   114 0.6710954 0.142328711  fv Log-Normal RP(P), Log-Normal    FALSE #> 1832   115 0.7820406 0.166205449  fv Log-Normal RP(P), Log-Normal    FALSE #> 1848   116 0.7939534 0.167711038  fv Log-Normal RP(P), Log-Normal    FALSE #> 1864   117 0.8430940 0.176684051  fv Log-Normal RP(P), Log-Normal    FALSE #> 1880   118 0.6212618 0.132330606  fv Log-Normal RP(P), Log-Normal    FALSE #> 1896   119 0.5727404 0.121504334  fv Log-Normal RP(P), Log-Normal    FALSE #> 1912   120 0.8243130 0.174444030  fv Log-Normal RP(P), Log-Normal    FALSE #> 1928   121 0.7202072 0.152475354  fv Log-Normal RP(P), Log-Normal    FALSE #> 1944   122 0.5561335 0.119749873  fv Log-Normal RP(P), Log-Normal    FALSE #> 1960   123 0.5294622 0.113195261  fv Log-Normal RP(P), Log-Normal    FALSE #> 1976   124 0.5606144 0.119830783  fv Log-Normal RP(P), Log-Normal    FALSE #> 1992   125 0.5467464 0.117088993  fv Log-Normal RP(P), Log-Normal    FALSE #> 2008   126 1.2215715 0.256569950  fv Log-Normal RP(P), Log-Normal     TRUE #> 2024   127 0.5218994 0.113209374  fv Log-Normal RP(P), Log-Normal    FALSE #> 2040   128 0.5216607 0.111937164  fv Log-Normal RP(P), Log-Normal    FALSE #> 2056   129 0.7174736 0.154534528  fv Log-Normal RP(P), Log-Normal    FALSE #> 2072   130 0.5770054 0.123890286  fv Log-Normal RP(P), Log-Normal    FALSE #> 2088   131 0.6689280 0.142266715  fv Log-Normal RP(P), Log-Normal    FALSE #> 2104   132 0.7957550 0.170120599  fv Log-Normal RP(P), Log-Normal    FALSE #> 2120   133 0.9412438 0.196855270  fv Log-Normal RP(P), Log-Normal    FALSE #> 2136   134 1.0838532 0.226912038  fv Log-Normal RP(P), Log-Normal    FALSE #> 2152   135 0.6648603 0.140092983  fv Log-Normal RP(P), Log-Normal    FALSE #> 2168   136 0.5492014 0.117363787  fv Log-Normal RP(P), Log-Normal    FALSE #> 2184   137 0.5291266 0.115402392  fv Log-Normal RP(P), Log-Normal    FALSE #> 2200   138 0.5264330 0.112494837  fv Log-Normal RP(P), Log-Normal    FALSE #> 2216   139 0.7533269 0.160159857  fv Log-Normal RP(P), Log-Normal    FALSE #> 2232   140 0.8110847 0.171158128  fv Log-Normal RP(P), Log-Normal    FALSE #> 2248   141 0.4367489 0.094597121  fv Log-Normal RP(P), Log-Normal    FALSE #> 2264   142 0.4940670 0.106169645  fv Log-Normal RP(P), Log-Normal    FALSE #> 2280   143 0.5794493 0.122951278  fv Log-Normal RP(P), Log-Normal    FALSE #> 2296   144 0.6778027 0.143521271  fv Log-Normal RP(P), Log-Normal    FALSE #> 2312   145 0.5837892 0.125941371  fv Log-Normal RP(P), Log-Normal    FALSE #> 2328   146 0.7325227 0.154220307  fv Log-Normal RP(P), Log-Normal    FALSE #> 2344   147 0.6357226 0.135958395  fv Log-Normal RP(P), Log-Normal    FALSE #> 2360   148 0.5487951 0.117138970  fv Log-Normal RP(P), Log-Normal    FALSE #> 2376   149 0.4091531 0.089138976  fv Log-Normal RP(P), Log-Normal    FALSE #> 2392   150 0.5623525 0.119787569  fv Log-Normal RP(P), Log-Normal    FALSE #> 2408   151 0.9870081 0.207968406  fv Log-Normal RP(P), Log-Normal    FALSE #> 2424   152 0.7257533 0.155576929  fv Log-Normal RP(P), Log-Normal    FALSE #> 2440   153 0.7938888 0.166001332  fv Log-Normal RP(P), Log-Normal    FALSE #> 2456   154 0.7543676 0.159096926  fv Log-Normal RP(P), Log-Normal    FALSE #> 2472   155 1.0111457 0.212971620  fv Log-Normal RP(P), Log-Normal    FALSE #> 2488   156 0.6544524 0.141043356  fv Log-Normal RP(P), Log-Normal    FALSE #> 2504   157 0.6432003 0.138898907  fv Log-Normal RP(P), Log-Normal    FALSE #> 2520   158 0.6411141 0.135716820  fv Log-Normal RP(P), Log-Normal    FALSE #> 2536   159 0.8229442 0.176716197  fv Log-Normal RP(P), Log-Normal    FALSE #> 2552   160 0.8120361 0.174187032  fv Log-Normal RP(P), Log-Normal    FALSE #> 2568   161 0.9019813 0.188117850  fv Log-Normal RP(P), Log-Normal    FALSE #> 2584   162 1.0499623 0.220400899  fv Log-Normal RP(P), Log-Normal    FALSE #> 2600   163 0.6371458 0.137262190  fv Log-Normal RP(P), Log-Normal    FALSE #> 2616   164 0.6859633 0.145451105  fv Log-Normal RP(P), Log-Normal    FALSE #> 2632   165 0.5519135 0.117940756  fv Log-Normal RP(P), Log-Normal    FALSE #> 2648   166 0.4479469 0.095793295  fv Log-Normal RP(P), Log-Normal    FALSE #> 2664   167 0.7613875 0.161975639  fv Log-Normal RP(P), Log-Normal    FALSE #> 2680   168 0.8959044 0.188861131  fv Log-Normal RP(P), Log-Normal    FALSE #> 2696   169 0.6531845 0.138023079  fv Log-Normal RP(P), Log-Normal    FALSE #> 2712   170 0.7664620 0.162066953  fv Log-Normal RP(P), Log-Normal    FALSE #> 2728   171 0.8455567 0.178186955  fv Log-Normal RP(P), Log-Normal    FALSE #> 2744   172 0.7766548 0.164499182  fv Log-Normal RP(P), Log-Normal    FALSE #> 2760   173 0.7349752 0.154532530  fv Log-Normal RP(P), Log-Normal    FALSE #> 2776   174 0.6099624 0.129739699  fv Log-Normal RP(P), Log-Normal    FALSE #> 2792   175 0.8046287 0.169421952  fv Log-Normal RP(P), Log-Normal    FALSE #> 2808   176 1.0156282 0.214174421  fv Log-Normal RP(P), Log-Normal    FALSE #> 2824   177 0.8256876 0.175175875  fv Log-Normal RP(P), Log-Normal    FALSE #> 2840   178 0.5414903 0.116046912  fv Log-Normal RP(P), Log-Normal    FALSE #> 2856   179 0.9627749 0.202015293  fv Log-Normal RP(P), Log-Normal    FALSE #> 2872   180 0.5801914 0.124401399  fv Log-Normal RP(P), Log-Normal    FALSE #> 2888   181 0.7554494 0.159701514  fv Log-Normal RP(P), Log-Normal    FALSE #> 2904   182 1.2537245 0.262312759  fv Log-Normal RP(P), Log-Normal     TRUE #> 2920   183 0.7659203 0.165867012  fv Log-Normal RP(P), Log-Normal    FALSE #> 2936   184 0.9738310 0.203471702  fv Log-Normal RP(P), Log-Normal    FALSE #> 2952   185 0.8121692 0.171028940  fv Log-Normal RP(P), Log-Normal    FALSE #> 2968   186 0.7982599 0.168832783  fv Log-Normal RP(P), Log-Normal    FALSE #> 2984   187 0.6883828 0.145342853  fv Log-Normal RP(P), Log-Normal    FALSE #> 3000   188 0.8374741 0.176193562  fv Log-Normal RP(P), Log-Normal    FALSE #> 3016   189 0.6993496 0.147808847  fv Log-Normal RP(P), Log-Normal    FALSE #> 3032   190 0.8064399 0.170804825  fv Log-Normal RP(P), Log-Normal    FALSE #> 3048   191 0.8008227 0.173861583  fv Log-Normal RP(P), Log-Normal    FALSE #> 3064   192 0.6525505 0.137788950  fv Log-Normal RP(P), Log-Normal    FALSE #> 3080   193 0.7916083 0.170491952  fv Log-Normal RP(P), Log-Normal    FALSE #> 3096   194 0.9988075 0.209353233  fv Log-Normal RP(P), Log-Normal    FALSE #> 3112   195 0.5880564 0.124916660  fv Log-Normal RP(P), Log-Normal    FALSE #> 3128   196 0.6367192 0.135928623  fv Log-Normal RP(P), Log-Normal    FALSE #> 3144   197 0.6587380 0.139314113  fv Log-Normal RP(P), Log-Normal    FALSE #> 3160   198 0.7988690 0.168411544  fv Log-Normal RP(P), Log-Normal    FALSE #> 3176   199 0.5340730 0.114133322  fv Log-Normal RP(P), Log-Normal    FALSE #> 3192   200 0.6108400 0.131066750  fv Log-Normal RP(P), Log-Normal    FALSE #> 3208   201 0.8908497 0.188126967  fv Log-Normal RP(P), Log-Normal    FALSE #> 3224   202 0.7243823 0.152769551  fv Log-Normal RP(P), Log-Normal    FALSE #> 3240   203 0.6371139 0.135630072  fv Log-Normal RP(P), Log-Normal    FALSE #> 3256   204 0.6812425 0.144876357  fv Log-Normal RP(P), Log-Normal    FALSE #> 3272   205 0.6640707 0.142647914  fv Log-Normal RP(P), Log-Normal    FALSE #> 3288   206 0.7955822 0.169584226  fv Log-Normal RP(P), Log-Normal    FALSE #> 3304   207 0.8122343 0.171305716  fv Log-Normal RP(P), Log-Normal    FALSE #> 3320   208 1.0716857 0.225174141  fv Log-Normal RP(P), Log-Normal    FALSE #> 3336   209 0.6729434 0.145634249  fv Log-Normal RP(P), Log-Normal    FALSE #> 3352   210 0.7233139 0.155217656  fv Log-Normal RP(P), Log-Normal    FALSE #> 3368   211 0.8224261 0.173753257  fv Log-Normal RP(P), Log-Normal    FALSE #> 3384   212 0.8106002 0.171929743  fv Log-Normal RP(P), Log-Normal    FALSE #> 3400   213 0.6209349 0.132488452  fv Log-Normal RP(P), Log-Normal    FALSE #> 3416   214 0.6651939 0.141701897  fv Log-Normal RP(P), Log-Normal    FALSE #> 3432   215 0.6681925 0.142692548  fv Log-Normal RP(P), Log-Normal    FALSE #> 3448   216 0.9718383 0.203611298  fv Log-Normal RP(P), Log-Normal    FALSE #> 3464   217 0.7615306 0.161592701  fv Log-Normal RP(P), Log-Normal    FALSE #> 3480   218 0.5932685 0.126182039  fv Log-Normal RP(P), Log-Normal    FALSE #> 3496   219 0.8440250 0.177280275  fv Log-Normal RP(P), Log-Normal    FALSE #> 3512   220 0.9111737 0.193577494  fv Log-Normal RP(P), Log-Normal    FALSE #> 3528   221 0.6454833 0.139083353  fv Log-Normal RP(P), Log-Normal    FALSE #> 3544   222 0.3710342 0.081236086  fv Log-Normal RP(P), Log-Normal    FALSE #> 3560   223 0.5463579 0.116226442  fv Log-Normal RP(P), Log-Normal    FALSE #> 3576   224 0.5958494 0.127390309  fv Log-Normal RP(P), Log-Normal    FALSE #> 3592   225 0.8256615 0.173178721  fv Log-Normal RP(P), Log-Normal    FALSE #> 3608   226 1.0751549 0.225902510  fv Log-Normal RP(P), Log-Normal    FALSE #> 3624   227 0.7671138 0.162589102  fv Log-Normal RP(P), Log-Normal    FALSE #> 3640   228 0.8685262 0.182915069  fv Log-Normal RP(P), Log-Normal    FALSE #> 3656   229 0.4077865 0.089309434  fv Log-Normal RP(P), Log-Normal    FALSE #> 3672   230 0.6142203 0.130122245  fv Log-Normal RP(P), Log-Normal    FALSE #> 3688   231 0.6568914 0.139096135  fv Log-Normal RP(P), Log-Normal    FALSE #> 3704   232 0.9518400 0.200405291  fv Log-Normal RP(P), Log-Normal    FALSE #> 3720   233 0.9620535 0.203495174  fv Log-Normal RP(P), Log-Normal    FALSE #> 3736   234 0.9386042 0.197203991  fv Log-Normal RP(P), Log-Normal    FALSE #> 3752   235 0.5533993 0.117867348  fv Log-Normal RP(P), Log-Normal    FALSE #> 3768   236 0.6340348 0.134447642  fv Log-Normal RP(P), Log-Normal    FALSE #> 3784   237 0.5453294 0.115930957  fv Log-Normal RP(P), Log-Normal    FALSE #> 3800   238 0.8944895 0.191484666  fv Log-Normal RP(P), Log-Normal    FALSE #> 3816   239 0.9288279 0.195513931  fv Log-Normal RP(P), Log-Normal    FALSE #> 3832   240 0.6350098 0.135823593  fv Log-Normal RP(P), Log-Normal    FALSE #> 3848   241 0.7685612 0.163948020  fv Log-Normal RP(P), Log-Normal    FALSE #> 3864   242 0.5467803 0.117102138  fv Log-Normal RP(P), Log-Normal    FALSE #> 3880   243 0.6730960 0.142931552  fv Log-Normal RP(P), Log-Normal    FALSE #> 3896   244 0.6142116 0.131941975  fv Log-Normal RP(P), Log-Normal    FALSE #> 3912   245 0.5020462 0.109122006  fv Log-Normal RP(P), Log-Normal    FALSE #> 3928   246 0.7921927 0.168021380  fv Log-Normal RP(P), Log-Normal    FALSE #> 3944   247 0.6592181 0.139530433  fv Log-Normal RP(P), Log-Normal    FALSE #> 3960   248 1.1777612 0.254244197  fv Log-Normal RP(P), Log-Normal     TRUE #> 3976   249 0.5943575 0.127544821  fv Log-Normal RP(P), Log-Normal    FALSE #> 3992   250 0.7502168 0.158141093  fv Log-Normal RP(P), Log-Normal    FALSE #> 4008   251 0.6268527 0.133734241  fv Log-Normal RP(P), Log-Normal    FALSE #> 4024   252 0.4776854 0.102284469  fv Log-Normal RP(P), Log-Normal    FALSE #> 4040   253 0.8681536 0.183500004  fv Log-Normal RP(P), Log-Normal    FALSE #> 4056   254 0.7439174 0.156041861  fv Log-Normal RP(P), Log-Normal    FALSE #> 4072   255 0.9441697 0.201330530  fv Log-Normal RP(P), Log-Normal    FALSE #> 4088   256 0.8607312 0.182317109  fv Log-Normal RP(P), Log-Normal    FALSE #> 4104   257 0.8369787 0.175261357  fv Log-Normal RP(P), Log-Normal    FALSE #> 4120   258 0.4171869 0.089856660  fv Log-Normal RP(P), Log-Normal    FALSE #> 4136   259 0.6676815 0.141483812  fv Log-Normal RP(P), Log-Normal    FALSE #> 4152   260 0.6884486 0.147931703  fv Log-Normal RP(P), Log-Normal    FALSE #> 4168   261 0.8876474 0.187002433  fv Log-Normal RP(P), Log-Normal    FALSE #> 4184   262 0.6886344 0.145893409  fv Log-Normal RP(P), Log-Normal    FALSE #> 4200   263 0.8769823 0.186762641  fv Log-Normal RP(P), Log-Normal    FALSE #> 4216   264 0.7973775 0.168952281  fv Log-Normal RP(P), Log-Normal    FALSE #> 4232   265 0.6224204 0.131746513  fv Log-Normal RP(P), Log-Normal    FALSE #> 4248   266 0.6649661 0.143208152  fv Log-Normal RP(P), Log-Normal    FALSE #> 4264   267 0.6170590 0.130985777  fv Log-Normal RP(P), Log-Normal    FALSE #> 4280   268 0.9638015 0.201609273  fv Log-Normal RP(P), Log-Normal    FALSE #> 4296   269 0.6192713 0.132297670  fv Log-Normal RP(P), Log-Normal    FALSE #> 4312   270 0.6272993 0.133300944  fv Log-Normal RP(P), Log-Normal    FALSE #> 4328   271 0.7800909 0.164123810  fv Log-Normal RP(P), Log-Normal    FALSE #> 4344   272 0.5661606 0.121060836  fv Log-Normal RP(P), Log-Normal    FALSE #> 4360   273 0.7588228 0.161878411  fv Log-Normal RP(P), Log-Normal    FALSE #> 4376   274 0.7671855 0.161327099  fv Log-Normal RP(P), Log-Normal    FALSE #> 4392   275 0.6394525 0.136719057  fv Log-Normal RP(P), Log-Normal    FALSE #> 4408   276 0.7903120 0.166291219  fv Log-Normal RP(P), Log-Normal    FALSE #> 4424   277 0.7234781 0.152518392  fv Log-Normal RP(P), Log-Normal    FALSE #> 4440   278 0.6278358 0.135101300  fv Log-Normal RP(P), Log-Normal    FALSE #> 4456   279 0.8158385 0.171062766  fv Log-Normal RP(P), Log-Normal    FALSE #> 4472   280 0.8400655 0.178662425  fv Log-Normal RP(P), Log-Normal    FALSE #> 4488   281 0.7252124 0.152822320  fv Log-Normal RP(P), Log-Normal    FALSE #> 4504   282 0.6556109 0.140682373  fv Log-Normal RP(P), Log-Normal    FALSE #> 4520   283 0.8872840 0.188990041  fv Log-Normal RP(P), Log-Normal    FALSE #> 4536   284 0.6237917 0.133109411  fv Log-Normal RP(P), Log-Normal    FALSE #> 4552   285 0.7104471 0.150620789  fv Log-Normal RP(P), Log-Normal    FALSE #> 4568   286 0.7010266 0.148553607  fv Log-Normal RP(P), Log-Normal    FALSE #> 4584   287 0.5983036 0.127533893  fv Log-Normal RP(P), Log-Normal    FALSE #> 4600   288 0.6194319 0.132300120  fv Log-Normal RP(P), Log-Normal    FALSE #> 4616   289 0.6953902 0.147668888  fv Log-Normal RP(P), Log-Normal    FALSE #> 4632   290 0.6789570 0.143987778  fv Log-Normal RP(P), Log-Normal    FALSE #> 4648   291 0.7671789 0.162019778  fv Log-Normal RP(P), Log-Normal    FALSE #> 4664   292 0.6671205 0.145690555  fv Log-Normal RP(P), Log-Normal    FALSE #> 4680   293 0.6823554 0.144154584  fv Log-Normal RP(P), Log-Normal    FALSE #> 4696   294 0.7332624 0.154464681  fv Log-Normal RP(P), Log-Normal    FALSE #> 4712   295 0.6404999 0.135858256  fv Log-Normal RP(P), Log-Normal    FALSE #> 4728   296 0.8064440 0.169134786  fv Log-Normal RP(P), Log-Normal    FALSE #> 4744   297 0.4154099 0.089707885  fv Log-Normal RP(P), Log-Normal    FALSE #> 4760   298 0.7001526 0.148958370  fv Log-Normal RP(P), Log-Normal    FALSE #> 4776   299 0.7901542 0.166005499  fv Log-Normal RP(P), Log-Normal    FALSE #> 4792   300 0.6383931 0.135316588  fv Log-Normal RP(P), Log-Normal    FALSE #> 4808   301 1.0797894 0.226631922  fv Log-Normal RP(P), Log-Normal    FALSE #> 4824   302 0.7333982 0.154129270  fv Log-Normal RP(P), Log-Normal    FALSE #> 4840   303 0.6448902 0.136135374  fv Log-Normal RP(P), Log-Normal    FALSE #> 4856   304 0.6874369 0.145600025  fv Log-Normal RP(P), Log-Normal    FALSE #> 4872   305 0.8473673 0.180072933  fv Log-Normal RP(P), Log-Normal    FALSE #> 4888   306 0.5855319 0.124660389  fv Log-Normal RP(P), Log-Normal    FALSE #> 4904   307 0.6260604 0.133351831  fv Log-Normal RP(P), Log-Normal    FALSE #> 4920   308 0.7265619 0.155227234  fv Log-Normal RP(P), Log-Normal    FALSE #> 4936   309 0.6165858 0.131736323  fv Log-Normal RP(P), Log-Normal    FALSE #> 4952   310 0.6669932 0.143636364  fv Log-Normal RP(P), Log-Normal    FALSE #> 4968   311 0.8948024 0.187518922  fv Log-Normal RP(P), Log-Normal    FALSE #> 4984   312 0.7340584 0.156045396  fv Log-Normal RP(P), Log-Normal    FALSE #> 5000   313 0.5098630 0.110514496  fv Log-Normal RP(P), Log-Normal    FALSE #> 5016   314 0.7006581 0.149757043  fv Log-Normal RP(P), Log-Normal    FALSE #> 5032   315 0.6800828 0.144554310  fv Log-Normal RP(P), Log-Normal    FALSE #> 5048   316 0.5944615 0.126393843  fv Log-Normal RP(P), Log-Normal    FALSE #> 5064   317 0.8636833 0.180934577  fv Log-Normal RP(P), Log-Normal    FALSE #> 5080   318 0.5483091 0.116304349  fv Log-Normal RP(P), Log-Normal    FALSE #> 5096   319 0.7523237 0.160342794  fv Log-Normal RP(P), Log-Normal    FALSE #> 5112   320 0.8391743 0.176178376  fv Log-Normal RP(P), Log-Normal    FALSE #> 5128   321 0.9163775 0.194154288  fv Log-Normal RP(P), Log-Normal    FALSE #> 5144   322 0.5894324 0.127298736  fv Log-Normal RP(P), Log-Normal    FALSE #> 5160   323 0.8114798 0.171935681  fv Log-Normal RP(P), Log-Normal    FALSE #> 5176   324 0.5338577 0.114284662  fv Log-Normal RP(P), Log-Normal    FALSE #> 5192   325 0.6217815 0.132298631  fv Log-Normal RP(P), Log-Normal    FALSE #> 5208   326 1.0836512 0.235917887  fv Log-Normal RP(P), Log-Normal    FALSE #> 5224   327 0.5334750 0.115076500  fv Log-Normal RP(P), Log-Normal    FALSE #> 5240   328 0.7989732 0.169468715  fv Log-Normal RP(P), Log-Normal    FALSE #> 5256   329 0.6360385 0.134479974  fv Log-Normal RP(P), Log-Normal    FALSE #> 5272   330 0.5875593 0.128101031  fv Log-Normal RP(P), Log-Normal    FALSE #> 5288   331 0.9377907 0.197762013  fv Log-Normal RP(P), Log-Normal    FALSE #> 5304   332 0.6885284 0.145055687  fv Log-Normal RP(P), Log-Normal    FALSE #> 5320   333 0.5064415 0.108148237  fv Log-Normal RP(P), Log-Normal    FALSE #> 5336   334 0.5541498 0.118443759  fv Log-Normal RP(P), Log-Normal    FALSE #> 5352   335 0.5482213 0.116736851  fv Log-Normal RP(P), Log-Normal    FALSE #> 5368   336 0.7934025 0.166004228  fv Log-Normal RP(P), Log-Normal    FALSE #> 5384   337 0.6571731 0.138502229  fv Log-Normal RP(P), Log-Normal    FALSE #> 5400   338 0.7728687 0.163033764  fv Log-Normal RP(P), Log-Normal    FALSE #> 5416   339 0.5965669 0.128341597  fv Log-Normal RP(P), Log-Normal    FALSE #> 5432   340 0.9275768 0.195141879  fv Log-Normal RP(P), Log-Normal    FALSE #> 5448   341 0.6692119 0.145172381  fv Log-Normal RP(P), Log-Normal    FALSE #> 5464   342 0.5902572 0.125475073  fv Log-Normal RP(P), Log-Normal    FALSE #> 5480   343 0.5801466 0.123098768  fv Log-Normal RP(P), Log-Normal    FALSE #> 5496   344 0.6785553 0.144580820  fv Log-Normal RP(P), Log-Normal    FALSE #> 5512   345 0.6981478 0.149010321  fv Log-Normal RP(P), Log-Normal    FALSE #> 5528   346 0.5238796 0.114762954  fv Log-Normal RP(P), Log-Normal    FALSE #> 5544   347 0.6274841 0.133216940  fv Log-Normal RP(P), Log-Normal    FALSE #> 5560   348 0.6138076 0.132661263  fv Log-Normal RP(P), Log-Normal    FALSE #> 5576   349 0.7089060 0.151241295  fv Log-Normal RP(P), Log-Normal    FALSE #> 5592   350 0.7922423 0.166710243  fv Log-Normal RP(P), Log-Normal    FALSE #> 5608   351 0.6095110 0.131638592  fv Log-Normal RP(P), Log-Normal    FALSE #> 5624   352 0.8227668 0.174673506  fv Log-Normal RP(P), Log-Normal    FALSE #> 5640   353 0.7124254 0.149873339  fv Log-Normal RP(P), Log-Normal    FALSE #> 5656   354 0.6746969 0.142588109  fv Log-Normal RP(P), Log-Normal    FALSE #> 5672   355 0.7436915 0.155836291  fv Log-Normal RP(P), Log-Normal    FALSE #> 5688   356 0.6364339 0.135095851  fv Log-Normal RP(P), Log-Normal    FALSE #> 5704   357 0.9283883 0.195684960  fv Log-Normal RP(P), Log-Normal    FALSE #> 5720   358 0.6779987 0.143013219  fv Log-Normal RP(P), Log-Normal    FALSE #> 5736   359 0.5223231 0.112182424  fv Log-Normal RP(P), Log-Normal    FALSE #> 5752   360 0.6818928 0.145867770  fv Log-Normal RP(P), Log-Normal    FALSE #> 5768   361 0.6438289 0.136908189  fv Log-Normal RP(P), Log-Normal    FALSE #> 5784   362 0.6308484 0.133550798  fv Log-Normal RP(P), Log-Normal    FALSE #> 5800   363 0.6184552 0.131494207  fv Log-Normal RP(P), Log-Normal    FALSE #> 5816   364 0.9020074 0.191480398  fv Log-Normal RP(P), Log-Normal    FALSE #> 5832   365 0.8085743 0.174120700  fv Log-Normal RP(P), Log-Normal    FALSE #> 5848   366 0.6868125 0.146863645  fv Log-Normal RP(P), Log-Normal    FALSE #> 5864   367 0.8043925 0.169415489  fv Log-Normal RP(P), Log-Normal    FALSE #> 5880   368 0.9940984 0.211797215  fv Log-Normal RP(P), Log-Normal    FALSE #> 5896   369 0.6067818 0.130133487  fv Log-Normal RP(P), Log-Normal    FALSE #> 5912   370 0.7791594 0.164610115  fv Log-Normal RP(P), Log-Normal    FALSE #> 5928   371 0.6579660 0.139290440  fv Log-Normal RP(P), Log-Normal    FALSE #> 5944   372 0.4998593 0.107079991  fv Log-Normal RP(P), Log-Normal    FALSE #> 5960   373 1.1187507 0.239669973  fv Log-Normal RP(P), Log-Normal     TRUE #> 5976   374 0.5445436 0.116192907  fv Log-Normal RP(P), Log-Normal    FALSE #> 5992   375 0.6589562 0.140315215  fv Log-Normal RP(P), Log-Normal    FALSE #> 6008   376 0.7039143 0.151300247  fv Log-Normal RP(P), Log-Normal    FALSE #> 6024   377 0.5442462 0.116958497  fv Log-Normal RP(P), Log-Normal    FALSE #> 6040   378 0.6207517 0.133000762  fv Log-Normal RP(P), Log-Normal    FALSE #> 6056   379 0.5070180 0.108149121  fv Log-Normal RP(P), Log-Normal    FALSE #> 6072   380 0.6588885 0.139471825  fv Log-Normal RP(P), Log-Normal    FALSE #> 6088   381 0.8548545 0.181832063  fv Log-Normal RP(P), Log-Normal    FALSE #> 6104   382 0.7335509 0.156313750  fv Log-Normal RP(P), Log-Normal    FALSE #> 6120   383 0.7137172 0.150203860  fv Log-Normal RP(P), Log-Normal    FALSE #> 6136   384 0.7104134 0.150412373  fv Log-Normal RP(P), Log-Normal    FALSE #> 6152   385 0.5935099 0.129534784  fv Log-Normal RP(P), Log-Normal    FALSE #> 6168   386 0.9411797 0.201815466  fv Log-Normal RP(P), Log-Normal    FALSE #> 6184   387 0.5892174 0.125279876  fv Log-Normal RP(P), Log-Normal    FALSE #> 6200   388 0.9310919 0.196820097  fv Log-Normal RP(P), Log-Normal    FALSE #> 6216   389 0.8066429 0.170511534  fv Log-Normal RP(P), Log-Normal    FALSE #> 6232   390 0.6786750 0.144396146  fv Log-Normal RP(P), Log-Normal    FALSE #> 6248   391 0.8198229 0.172515332  fv Log-Normal RP(P), Log-Normal    FALSE #> 6264   392 0.6270577 0.133542272  fv Log-Normal RP(P), Log-Normal    FALSE #> 6280   393 0.5605416 0.119072930  fv Log-Normal RP(P), Log-Normal    FALSE #> 6296   394 0.8810824 0.186080625  fv Log-Normal RP(P), Log-Normal    FALSE #> 6312   395 0.7626802 0.161748237  fv Log-Normal RP(P), Log-Normal    FALSE #> 6328   396 1.0186980 0.215519936  fv Log-Normal RP(P), Log-Normal    FALSE #> 6344   397 0.7136712 0.152808078  fv Log-Normal RP(P), Log-Normal    FALSE #> 6360   398 0.6724088 0.142879285  fv Log-Normal RP(P), Log-Normal    FALSE #> 6376   399 0.8200587 0.173443890  fv Log-Normal RP(P), Log-Normal    FALSE #> 6392   400 0.5373662 0.114719406  fv Log-Normal RP(P), Log-Normal    FALSE #> 6408   401 0.6198081 0.133051510  fv Log-Normal RP(P), Log-Normal    FALSE #> 6424   402 0.5456393 0.120676593  fv Log-Normal RP(P), Log-Normal    FALSE #> 6440   403 0.6242481 0.134826074  fv Log-Normal RP(P), Log-Normal    FALSE #> 6456   404 0.5789455 0.124683392  fv Log-Normal RP(P), Log-Normal    FALSE #> 6472   405 0.4740742 0.101148159  fv Log-Normal RP(P), Log-Normal    FALSE #> 6488   406 0.7363722 0.157413363  fv Log-Normal RP(P), Log-Normal    FALSE #> 6504   407 0.7570074 0.160550534  fv Log-Normal RP(P), Log-Normal    FALSE #> 6520   408 0.4959259 0.108490225  fv Log-Normal RP(P), Log-Normal    FALSE #> 6536   409 0.7356424 0.157765466  fv Log-Normal RP(P), Log-Normal    FALSE #> 6552   410 0.7712851 0.162320795  fv Log-Normal RP(P), Log-Normal    FALSE #> 6568   411 0.6541786 0.140317219  fv Log-Normal RP(P), Log-Normal    FALSE #> 6584   412 0.6661183 0.143455097  fv Log-Normal RP(P), Log-Normal    FALSE #> 6600   413 0.5350439 0.115753646  fv Log-Normal RP(P), Log-Normal    FALSE #> 6616   414 0.8643640 0.180317810  fv Log-Normal RP(P), Log-Normal    FALSE #> 6632   415 1.2739619 0.266898773  fv Log-Normal RP(P), Log-Normal     TRUE #> 6648   416 0.5686275 0.124459667  fv Log-Normal RP(P), Log-Normal    FALSE #> 6664   417 0.5516460 0.117282911  fv Log-Normal RP(P), Log-Normal    FALSE #> 6680   418 0.8937930 0.187628969  fv Log-Normal RP(P), Log-Normal    FALSE #> 6696   419 0.4939313 0.107958764  fv Log-Normal RP(P), Log-Normal    FALSE #> 6712   420 0.7618818 0.162553523  fv Log-Normal RP(P), Log-Normal    FALSE #> 6728   421 0.7941336 0.166611656  fv Log-Normal RP(P), Log-Normal    FALSE #> 6744   422 0.5760020 0.123123483  fv Log-Normal RP(P), Log-Normal    FALSE #> 6760   423 0.5860742 0.124560347  fv Log-Normal RP(P), Log-Normal    FALSE #> 6776   424 0.6808656 0.144707278  fv Log-Normal RP(P), Log-Normal    FALSE #> 6792   425 0.7515341 0.158171202  fv Log-Normal RP(P), Log-Normal    FALSE #> 6808   426 0.8278194 0.174409626  fv Log-Normal RP(P), Log-Normal    FALSE #> 6824   427 0.9565671 0.199453527  fv Log-Normal RP(P), Log-Normal    FALSE #> 6840   428 0.8208074 0.173449828  fv Log-Normal RP(P), Log-Normal    FALSE #> 6856   429 0.7261118 0.153860717  fv Log-Normal RP(P), Log-Normal    FALSE #> 6872   430 0.8154937 0.170888139  fv Log-Normal RP(P), Log-Normal    FALSE #> 6888   431 0.6854336 0.147503360  fv Log-Normal RP(P), Log-Normal    FALSE #> 6904   432 0.8698979 0.183151737  fv Log-Normal RP(P), Log-Normal    FALSE #> 6920   433 0.5932630 0.126716505  fv Log-Normal RP(P), Log-Normal    FALSE #> 6936   434 0.5884706 0.124621858  fv Log-Normal RP(P), Log-Normal    FALSE #> 6952   435 0.4976009 0.107213878  fv Log-Normal RP(P), Log-Normal    FALSE #> 6968   436 0.7641928 0.161595804  fv Log-Normal RP(P), Log-Normal    FALSE #> 6984   437 0.5831031 0.126014583  fv Log-Normal RP(P), Log-Normal    FALSE #> 7000   438 0.8816506 0.185159712  fv Log-Normal RP(P), Log-Normal    FALSE #> 7016   439 0.5992139 0.129551688  fv Log-Normal RP(P), Log-Normal    FALSE #> 7032   440 0.4173110 0.090549796  fv Log-Normal RP(P), Log-Normal    FALSE #> 7048   441 0.5608792 0.120279561  fv Log-Normal RP(P), Log-Normal    FALSE #> 7064   442 0.7522919 0.160420421  fv Log-Normal RP(P), Log-Normal    FALSE #> 7080   443 0.8041542 0.170485517  fv Log-Normal RP(P), Log-Normal    FALSE #> 7096   444 0.8333665 0.174907941  fv Log-Normal RP(P), Log-Normal    FALSE #> 7112   445 0.9032992 0.190709150  fv Log-Normal RP(P), Log-Normal    FALSE #> 7128   446 0.6382998 0.136039454  fv Log-Normal RP(P), Log-Normal    FALSE #> 7144   447 0.8913664 0.188101809  fv Log-Normal RP(P), Log-Normal    FALSE #> 7160   448 0.9185656 0.194708815  fv Log-Normal RP(P), Log-Normal    FALSE #> 7176   449 0.9114504 0.192914583  fv Log-Normal RP(P), Log-Normal    FALSE #> 7192   450 0.7040628 0.150193038  fv Log-Normal RP(P), Log-Normal    FALSE #> 7208   451 0.7951696 0.168085049  fv Log-Normal RP(P), Log-Normal    FALSE #> 7224   452 0.7822380 0.164962493  fv Log-Normal RP(P), Log-Normal    FALSE #> 7240   453 0.6990982 0.147390463  fv Log-Normal RP(P), Log-Normal    FALSE #> 7256   454 0.6810218 0.145335768  fv Log-Normal RP(P), Log-Normal    FALSE #> 7272   455 0.6300676 0.133453170  fv Log-Normal RP(P), Log-Normal    FALSE #> 7288   456 0.4863927 0.104457276  fv Log-Normal RP(P), Log-Normal    FALSE #> 7304   457 0.9178214 0.193997798  fv Log-Normal RP(P), Log-Normal    FALSE #> 7320   458 0.7946535 0.172717509  fv Log-Normal RP(P), Log-Normal    FALSE #> 7336   459 0.9718512 0.208815317  fv Log-Normal RP(P), Log-Normal    FALSE #> 7352   460 0.6861966 0.146417539  fv Log-Normal RP(P), Log-Normal    FALSE #> 7368   461 0.7851648 0.165669430  fv Log-Normal RP(P), Log-Normal    FALSE #> 7384   462 0.7271394 0.153568596  fv Log-Normal RP(P), Log-Normal    FALSE #> 7400   463 0.8837419 0.187918773  fv Log-Normal RP(P), Log-Normal    FALSE #> 7416   464 0.8135415 0.171708945  fv Log-Normal RP(P), Log-Normal    FALSE #> 7432   465 0.8182940 0.172522261  fv Log-Normal RP(P), Log-Normal    FALSE #> 7448   466 0.8493356 0.179784542  fv Log-Normal RP(P), Log-Normal    FALSE #> 7464   467 0.7431155 0.158019881  fv Log-Normal RP(P), Log-Normal    FALSE #> 7480   468 0.9245746 0.194819936  fv Log-Normal RP(P), Log-Normal    FALSE #> 7496   469 0.8093364 0.169629324  fv Log-Normal RP(P), Log-Normal    FALSE #> 7512   470 0.7536124 0.160736238  fv Log-Normal RP(P), Log-Normal    FALSE #> 7528   471 0.6319489 0.135425252  fv Log-Normal RP(P), Log-Normal    FALSE #> 7544   472 0.8705816 0.183151533  fv Log-Normal RP(P), Log-Normal    FALSE #> 7560   473 0.6939116 0.147277985  fv Log-Normal RP(P), Log-Normal    FALSE #> 7576   474 1.0226695 0.218679643  fv Log-Normal RP(P), Log-Normal    FALSE #> 7592   475 0.6441230 0.137039433  fv Log-Normal RP(P), Log-Normal    FALSE #> 7608   476 0.4760739 0.102644848  fv Log-Normal RP(P), Log-Normal    FALSE #> 7624   477 0.5102537 0.108874669  fv Log-Normal RP(P), Log-Normal    FALSE #> 7640   478 0.8094600 0.170268803  fv Log-Normal RP(P), Log-Normal    FALSE #> 7656   479 0.7402423 0.155742727  fv Log-Normal RP(P), Log-Normal    FALSE #> 7672   480 1.0188028 0.213534164  fv Log-Normal RP(P), Log-Normal    FALSE #> 7688   481 1.0312072 0.216978595  fv Log-Normal RP(P), Log-Normal    FALSE #> 7704   482 0.7865807 0.168666058  fv Log-Normal RP(P), Log-Normal    FALSE #> 7720   483 0.9423222 0.201963450  fv Log-Normal RP(P), Log-Normal    FALSE #> 7736   484 0.8973102 0.192445828  fv Log-Normal RP(P), Log-Normal    FALSE #> 7752   485 0.5963984 0.127055639  fv Log-Normal RP(P), Log-Normal    FALSE #> 7768   486 0.4671000 0.102302527  fv Log-Normal RP(P), Log-Normal    FALSE #> 7784   487 0.8902634 0.188247313  fv Log-Normal RP(P), Log-Normal    FALSE #> 7800   488 0.4450478 0.096615368  fv Log-Normal RP(P), Log-Normal    FALSE #> 7816   489 0.8021624 0.173231327  fv Log-Normal RP(P), Log-Normal    FALSE #> 7832   490 0.7137305 0.152534661  fv Log-Normal RP(P), Log-Normal    FALSE #> 7848   491 0.6903608 0.146100755  fv Log-Normal RP(P), Log-Normal    FALSE #> 7864   492 0.5592670 0.118971312  fv Log-Normal RP(P), Log-Normal    FALSE #> 7880   493 1.0805007 0.228198880  fv Log-Normal RP(P), Log-Normal    FALSE #> 7896   494 0.6613173 0.139508951  fv Log-Normal RP(P), Log-Normal    FALSE #> 7912   495 0.8229525 0.172706856  fv Log-Normal RP(P), Log-Normal    FALSE #> 7928   496 1.0935848 0.231781117  fv Log-Normal RP(P), Log-Normal    FALSE #> 7944   497 0.5926421 0.126095802  fv Log-Normal RP(P), Log-Normal    FALSE #> 7960   498 0.6349464 0.134880116  fv Log-Normal RP(P), Log-Normal    FALSE #> 7976   499 0.9057009 0.193169237  fv Log-Normal RP(P), Log-Normal    FALSE #> 7992   500 0.6787804 0.143590515  fv Log-Normal RP(P), Log-Normal    FALSE #> 8008   501 1.3525305 0.283084001  fv Log-Normal RP(P), Log-Normal     TRUE #> 8024   502 0.7740755 0.163786111  fv Log-Normal RP(P), Log-Normal    FALSE #> 8040   503 0.7478861 0.158084965  fv Log-Normal RP(P), Log-Normal    FALSE #> 8056   504 0.8826810 0.185135409  fv Log-Normal RP(P), Log-Normal    FALSE #> 8072   505 0.7557309 0.160151723  fv Log-Normal RP(P), Log-Normal    FALSE #> 8088   506 1.0247701 0.219285990  fv Log-Normal RP(P), Log-Normal    FALSE #> 8104   507 0.7332673 0.155458606  fv Log-Normal RP(P), Log-Normal    FALSE #> 8120   508 0.5395012 0.115690840  fv Log-Normal RP(P), Log-Normal    FALSE #> 8136   509 0.6787263 0.144817990  fv Log-Normal RP(P), Log-Normal    FALSE #> 8152   510 0.6847482 0.146363988  fv Log-Normal RP(P), Log-Normal    FALSE #> 8168   511 0.4605915 0.099150023  fv Log-Normal RP(P), Log-Normal    FALSE #> 8184   512 0.7265371 0.156046468  fv Log-Normal RP(P), Log-Normal    FALSE #> 8200   513 0.8072477 0.171715037  fv Log-Normal RP(P), Log-Normal    FALSE #> 8216   514 0.7180859 0.151783993  fv Log-Normal RP(P), Log-Normal    FALSE #> 8232   515 0.5582958 0.119831433  fv Log-Normal RP(P), Log-Normal    FALSE #> 8248   516 0.7381316 0.155789374  fv Log-Normal RP(P), Log-Normal    FALSE #> 8264   517 0.3674411 0.080541276  fv Log-Normal RP(P), Log-Normal    FALSE #> 8280   518 0.7450873 0.157554369  fv Log-Normal RP(P), Log-Normal    FALSE #> 8296   519 0.7681291 0.162465401  fv Log-Normal RP(P), Log-Normal    FALSE #> 8312   520 0.8008281 0.168852756  fv Log-Normal RP(P), Log-Normal    FALSE #> 8328   521 0.7998675 0.170293482  fv Log-Normal RP(P), Log-Normal    FALSE #> 8344   522 0.5387534 0.114980391  fv Log-Normal RP(P), Log-Normal    FALSE #> 8360   523 0.7672604 0.162198321  fv Log-Normal RP(P), Log-Normal    FALSE #> 8376   524 0.5280884 0.112519890  fv Log-Normal RP(P), Log-Normal    FALSE #> 8392   525 0.7053708 0.149423744  fv Log-Normal RP(P), Log-Normal    FALSE #> 8408   526 0.6066376 0.129241961  fv Log-Normal RP(P), Log-Normal    FALSE #> 8424   527 0.7129661 0.150656058  fv Log-Normal RP(P), Log-Normal    FALSE #> 8440   528 0.9281260 0.195995962  fv Log-Normal RP(P), Log-Normal    FALSE #> 8456   529 0.9355893 0.196208641  fv Log-Normal RP(P), Log-Normal    FALSE #> 8472   530 0.4504997 0.097884739  fv Log-Normal RP(P), Log-Normal    FALSE #> 8488   531 1.0001840 0.211155769  fv Log-Normal RP(P), Log-Normal    FALSE #> 8504   532 0.7216514 0.152077098  fv Log-Normal RP(P), Log-Normal    FALSE #> 8520   533 0.6905167 0.145804123  fv Log-Normal RP(P), Log-Normal    FALSE #> 8536   534 0.7425754 0.157498257  fv Log-Normal RP(P), Log-Normal    FALSE #> 8552   535 0.8638945 0.181911550  fv Log-Normal RP(P), Log-Normal    FALSE #> 8568   536 0.5969459 0.128825659  fv Log-Normal RP(P), Log-Normal    FALSE #> 8584   537 1.2497526 0.261387193  fv Log-Normal RP(P), Log-Normal     TRUE #> 8600   538 0.5072017 0.109014290  fv Log-Normal RP(P), Log-Normal    FALSE #> 8616   539 0.6856868 0.144442198  fv Log-Normal RP(P), Log-Normal    FALSE #> 8632   540 0.6145395 0.130947333  fv Log-Normal RP(P), Log-Normal    FALSE #> 8648   541 0.9003393 0.188467630  fv Log-Normal RP(P), Log-Normal    FALSE #> 8664   542 0.8263942 0.175286712  fv Log-Normal RP(P), Log-Normal    FALSE #> 8680   543 0.7581448 0.159106779  fv Log-Normal RP(P), Log-Normal    FALSE #> 8696   544 0.7628214 0.161333872  fv Log-Normal RP(P), Log-Normal    FALSE #> 8712   545 0.5729157 0.121622886  fv Log-Normal RP(P), Log-Normal    FALSE #> 8728   546 0.9048540 0.189585012  fv Log-Normal RP(P), Log-Normal    FALSE #> 8744   547 0.6888985 0.146237060  fv Log-Normal RP(P), Log-Normal    FALSE #> 8760   548 0.5388485 0.114867872  fv Log-Normal RP(P), Log-Normal    FALSE #> 8776   549 0.8844165 0.187783761  fv Log-Normal RP(P), Log-Normal    FALSE #> 8792   550 0.5216935 0.112325747  fv Log-Normal RP(P), Log-Normal    FALSE #> 8808   551 0.7981204 0.168826559  fv Log-Normal RP(P), Log-Normal    FALSE #> 8824   552 0.7043843 0.148695174  fv Log-Normal RP(P), Log-Normal    FALSE #> 8840   553 0.8456647 0.176887854  fv Log-Normal RP(P), Log-Normal    FALSE #> 8856   554 0.9029274 0.189275208  fv Log-Normal RP(P), Log-Normal    FALSE #> 8872   555 0.8338211 0.176687000  fv Log-Normal RP(P), Log-Normal    FALSE #> 8888   556 0.8771735 0.184240708  fv Log-Normal RP(P), Log-Normal    FALSE #> 8904   557 0.6994326 0.147519245  fv Log-Normal RP(P), Log-Normal    FALSE #> 8920   558 0.6675003 0.140850673  fv Log-Normal RP(P), Log-Normal    FALSE #> 8936   559 0.6142336 0.132089175  fv Log-Normal RP(P), Log-Normal    FALSE #> 8952   560 0.7787745 0.163344772  fv Log-Normal RP(P), Log-Normal    FALSE #> 8968   561 1.2512491 0.263068744  fv Log-Normal RP(P), Log-Normal     TRUE #> 8984   562 0.8979502 0.193680428  fv Log-Normal RP(P), Log-Normal    FALSE #> 9000   563 0.7952133 0.167695091  fv Log-Normal RP(P), Log-Normal    FALSE #> 9016   564 0.6546188 0.141378883  fv Log-Normal RP(P), Log-Normal    FALSE #> 9032   565 0.5562875 0.118568595  fv Log-Normal RP(P), Log-Normal    FALSE #> 9048   566 0.7792219 0.167873773  fv Log-Normal RP(P), Log-Normal    FALSE #> 9064   567 0.7419551 0.158352827  fv Log-Normal RP(P), Log-Normal    FALSE #> 9080   568 0.5379826 0.115223660  fv Log-Normal RP(P), Log-Normal    FALSE #> 9096   569 0.8461880 0.177143809  fv Log-Normal RP(P), Log-Normal    FALSE #> 9112   570 0.5799163 0.126002183  fv Log-Normal RP(P), Log-Normal    FALSE #> 9128   571 0.6983018 0.147992860  fv Log-Normal RP(P), Log-Normal    FALSE #> 9144   572 0.6094856 0.128898875  fv Log-Normal RP(P), Log-Normal    FALSE #> 9160   573 0.6552102 0.139040826  fv Log-Normal RP(P), Log-Normal    FALSE #> 9176   574 0.7370159 0.156124757  fv Log-Normal RP(P), Log-Normal    FALSE #> 9192   575 0.6652785 0.143329039  fv Log-Normal RP(P), Log-Normal    FALSE #> 9208   576 0.7048646 0.153254428  fv Log-Normal RP(P), Log-Normal    FALSE #> 9224   577 0.9167098 0.191907050  fv Log-Normal RP(P), Log-Normal    FALSE #> 9240   578 0.5877871 0.124960960  fv Log-Normal RP(P), Log-Normal    FALSE #> 9256   579 0.6016587 0.129835840  fv Log-Normal RP(P), Log-Normal    FALSE #> 9272   580 0.4967792 0.106638664  fv Log-Normal RP(P), Log-Normal    FALSE #> 9288   581 0.7942713 0.168013813  fv Log-Normal RP(P), Log-Normal    FALSE #> 9304   582 0.7758947 0.163986474  fv Log-Normal RP(P), Log-Normal    FALSE #> 9320   583 1.0340860 0.215440480  fv Log-Normal RP(P), Log-Normal    FALSE #> 9336   584 0.5415647 0.114993075  fv Log-Normal RP(P), Log-Normal    FALSE #> 9352   585 0.7207829 0.152475876  fv Log-Normal RP(P), Log-Normal    FALSE #> 9368   586 0.7453476 0.156907193  fv Log-Normal RP(P), Log-Normal    FALSE #> 9384   587 0.9381973 0.198355658  fv Log-Normal RP(P), Log-Normal    FALSE #> 9400   588 0.5818223 0.125118084  fv Log-Normal RP(P), Log-Normal    FALSE #> 9416   589 0.6031015 0.127799852  fv Log-Normal RP(P), Log-Normal    FALSE #> 9432   590 0.8243606 0.175362711  fv Log-Normal RP(P), Log-Normal    FALSE #> 9448   591 0.8454856 0.179386646  fv Log-Normal RP(P), Log-Normal    FALSE #> 9464   592 0.8293279 0.176428804  fv Log-Normal RP(P), Log-Normal    FALSE #> 9480   593 0.9311402 0.195578453  fv Log-Normal RP(P), Log-Normal    FALSE #> 9496   594 0.7218285 0.152965863  fv Log-Normal RP(P), Log-Normal    FALSE #> 9512   595 0.5446728 0.116520386  fv Log-Normal RP(P), Log-Normal    FALSE #> 9528   596 0.7359036 0.154479518  fv Log-Normal RP(P), Log-Normal    FALSE #> 9544   597 0.6073041 0.128691128  fv Log-Normal RP(P), Log-Normal    FALSE #> 9560   598 1.0738637 0.225311791  fv Log-Normal RP(P), Log-Normal    FALSE #> 9576   599 0.7532017 0.160702035  fv Log-Normal RP(P), Log-Normal    FALSE #> 9592   600 0.5313748 0.113456443  fv Log-Normal RP(P), Log-Normal    FALSE #> 9608   601 1.1762696 0.247690829  fv Log-Normal RP(P), Log-Normal     TRUE #> 9624   602 0.9869736 0.208165567  fv Log-Normal RP(P), Log-Normal    FALSE #> 9640   603 0.4156015 0.089856898  fv Log-Normal RP(P), Log-Normal    FALSE #> 9656   604 0.7562236 0.159112332  fv Log-Normal RP(P), Log-Normal    FALSE #> 9672   605 1.2356747 0.256716135  fv Log-Normal RP(P), Log-Normal     TRUE #> 9688   606 0.6753278 0.142231678  fv Log-Normal RP(P), Log-Normal    FALSE #> 9704   607 0.6100967 0.131469811  fv Log-Normal RP(P), Log-Normal    FALSE #> 9720   608 0.4384887 0.095081321  fv Log-Normal RP(P), Log-Normal    FALSE #> 9736   609 0.8299211 0.173601960  fv Log-Normal RP(P), Log-Normal    FALSE #> 9752   610 0.6332973 0.134588006  fv Log-Normal RP(P), Log-Normal    FALSE #> 9768   611 0.8122094 0.173499710  fv Log-Normal RP(P), Log-Normal    FALSE #> 9784   612 0.5912979 0.127198194  fv Log-Normal RP(P), Log-Normal    FALSE #> 9800   613 0.8186354 0.172772228  fv Log-Normal RP(P), Log-Normal    FALSE #> 9816   614 0.7847640 0.167841517  fv Log-Normal RP(P), Log-Normal    FALSE #> 9832   615 0.8697196 0.183433952  fv Log-Normal RP(P), Log-Normal    FALSE #> 9848   616 0.7828021 0.165439563  fv Log-Normal RP(P), Log-Normal    FALSE #> 9864   617 0.7846758 0.165990375  fv Log-Normal RP(P), Log-Normal    FALSE #> 9880   618 0.6823886 0.144285111  fv Log-Normal RP(P), Log-Normal    FALSE #> 9896   619 0.8198467 0.172557735  fv Log-Normal RP(P), Log-Normal    FALSE #> 9912   620 0.8185053 0.173878169  fv Log-Normal RP(P), Log-Normal    FALSE #> 9928   621 0.5663070 0.121246532  fv Log-Normal RP(P), Log-Normal    FALSE #> 9944   622 0.6302051 0.135303879  fv Log-Normal RP(P), Log-Normal    FALSE #> 9960   623 0.8783656 0.185679970  fv Log-Normal RP(P), Log-Normal    FALSE #> 9976   624 0.5837145 0.125580529  fv Log-Normal RP(P), Log-Normal    FALSE #> 9992   625 0.7638096 0.162639813  fv Log-Normal RP(P), Log-Normal    FALSE #> 10008  626 0.6378765 0.135851705  fv Log-Normal RP(P), Log-Normal    FALSE #> 10024  627 0.6253581 0.133238137  fv Log-Normal RP(P), Log-Normal    FALSE #> 10040  628 0.6694660 0.143767320  fv Log-Normal RP(P), Log-Normal    FALSE #> 10056  629 0.6392508 0.134956518  fv Log-Normal RP(P), Log-Normal    FALSE #> 10072  630 0.8351055 0.175262379  fv Log-Normal RP(P), Log-Normal    FALSE #> 10088  631 0.6715506 0.142213889  fv Log-Normal RP(P), Log-Normal    FALSE #> 10104  632 0.7776511 0.166721548  fv Log-Normal RP(P), Log-Normal    FALSE #> 10120  633 0.4910653 0.105740740  fv Log-Normal RP(P), Log-Normal    FALSE #> 10136  634 0.6757272 0.146378271  fv Log-Normal RP(P), Log-Normal    FALSE #> 10152  635 0.9063761 0.191682174  fv Log-Normal RP(P), Log-Normal    FALSE #> 10168  636 0.4196552 0.091166924  fv Log-Normal RP(P), Log-Normal    FALSE #> 10184  637 0.8757533 0.183031296  fv Log-Normal RP(P), Log-Normal    FALSE #> 10200  638 0.6839210 0.145657493  fv Log-Normal RP(P), Log-Normal    FALSE #> 10216  639 0.4323877 0.093765125  fv Log-Normal RP(P), Log-Normal    FALSE #> 10232  640 0.7235325 0.154259737  fv Log-Normal RP(P), Log-Normal    FALSE #> 10248  641 0.5858835 0.125271208  fv Log-Normal RP(P), Log-Normal    FALSE #> 10264  642 0.6400015 0.136631265  fv Log-Normal RP(P), Log-Normal    FALSE #> 10280  643 0.6645860 0.140296010  fv Log-Normal RP(P), Log-Normal    FALSE #> 10296  644 0.6198370 0.131300536  fv Log-Normal RP(P), Log-Normal    FALSE #> 10312  645 0.7546684 0.158768904  fv Log-Normal RP(P), Log-Normal    FALSE #> 10328  646 0.8385785 0.177475226  fv Log-Normal RP(P), Log-Normal    FALSE #> 10344  647 0.6580940 0.139159678  fv Log-Normal RP(P), Log-Normal    FALSE #> 10360  648 1.0746985 0.225177802  fv Log-Normal RP(P), Log-Normal    FALSE #> 10376  649 0.6308988 0.136195814  fv Log-Normal RP(P), Log-Normal    FALSE #> 10392  650 0.8130078 0.170621264  fv Log-Normal RP(P), Log-Normal    FALSE #> 10408  651 0.7933222 0.168885503  fv Log-Normal RP(P), Log-Normal    FALSE #> 10424  652 1.2738896 0.266494041  fv Log-Normal RP(P), Log-Normal     TRUE #> 10440  653 0.5448666 0.117388941  fv Log-Normal RP(P), Log-Normal    FALSE #> 10456  654 0.5869671 0.127309334  fv Log-Normal RP(P), Log-Normal    FALSE #> 10472  655 0.7057334 0.149997780  fv Log-Normal RP(P), Log-Normal    FALSE #> 10488  656 0.7129275 0.153121486  fv Log-Normal RP(P), Log-Normal    FALSE #> 10504  657 0.5353386 0.115029010  fv Log-Normal RP(P), Log-Normal    FALSE #> 10520  658 1.1549453 0.246231092  fv Log-Normal RP(P), Log-Normal     TRUE #> 10536  659 1.0576571 0.224338275  fv Log-Normal RP(P), Log-Normal    FALSE #> 10552  660 0.8581929 0.181070027  fv Log-Normal RP(P), Log-Normal    FALSE #> 10568  661 0.5674477 0.122688388  fv Log-Normal RP(P), Log-Normal    FALSE #> 10584  662 0.5904257 0.125804978  fv Log-Normal RP(P), Log-Normal    FALSE #> 10600  663 0.7041159 0.150024604  fv Log-Normal RP(P), Log-Normal    FALSE #> 10616  664 0.7043639 0.148712478  fv Log-Normal RP(P), Log-Normal    FALSE #> 10632  665 0.8841932 0.186280285  fv Log-Normal RP(P), Log-Normal    FALSE #> 10648  666 1.1689748 0.244131156  fv Log-Normal RP(P), Log-Normal     TRUE #> 10664  667 0.6492794 0.137535848  fv Log-Normal RP(P), Log-Normal    FALSE #> 10680  668 0.6326668 0.134054761  fv Log-Normal RP(P), Log-Normal    FALSE #> 10696  669 0.9185632 0.194052341  fv Log-Normal RP(P), Log-Normal    FALSE #> 10712  670 0.6207600 0.134223983  fv Log-Normal RP(P), Log-Normal    FALSE #> 10728  671 0.7991586 0.168309558  fv Log-Normal RP(P), Log-Normal    FALSE #> 10744  672 0.9575733 0.201175273  fv Log-Normal RP(P), Log-Normal    FALSE #> 10760  673 0.6513651 0.137218194  fv Log-Normal RP(P), Log-Normal    FALSE #> 10776  674 0.8220483 0.172548799  fv Log-Normal RP(P), Log-Normal    FALSE #> 10792  675 0.6542018 0.144640287  fv Log-Normal RP(P), Log-Normal    FALSE #> 10808  676 0.8790873 0.184291598  fv Log-Normal RP(P), Log-Normal    FALSE #> 10824  677 0.6809257 0.143968265  fv Log-Normal RP(P), Log-Normal    FALSE #> 10840  678 0.5718382 0.122834126  fv Log-Normal RP(P), Log-Normal    FALSE #> 10856  679 0.6114109 0.129944256  fv Log-Normal RP(P), Log-Normal    FALSE #> 10872  680 0.7505338 0.159061609  fv Log-Normal RP(P), Log-Normal    FALSE #> 10888  681 1.0280511 0.216051309  fv Log-Normal RP(P), Log-Normal    FALSE #> 10904  682 0.6922360 0.148686633  fv Log-Normal RP(P), Log-Normal    FALSE #> 10920  683 0.8160459 0.173021939  fv Log-Normal RP(P), Log-Normal    FALSE #> 10936  684 1.0630183 0.223385225  fv Log-Normal RP(P), Log-Normal    FALSE #> 10952  685 0.6666902 0.142274967  fv Log-Normal RP(P), Log-Normal    FALSE #> 10968  686 0.8987511 0.188963362  fv Log-Normal RP(P), Log-Normal    FALSE #> 10984  687 0.5852340 0.124061916  fv Log-Normal RP(P), Log-Normal    FALSE #> 11000  688 0.6144874 0.131917388  fv Log-Normal RP(P), Log-Normal    FALSE #> 11016  689 0.6590173 0.140975370  fv Log-Normal RP(P), Log-Normal    FALSE #> 11032  690 0.8739728 0.185496227  fv Log-Normal RP(P), Log-Normal    FALSE #> 11048  691 0.8872853 0.197067546  fv Log-Normal RP(P), Log-Normal    FALSE #> 11064  692 0.6787807 0.144806881  fv Log-Normal RP(P), Log-Normal    FALSE #> 11080  693 0.5443873 0.119028846  fv Log-Normal RP(P), Log-Normal    FALSE #> 11096  694 0.7311672 0.154007226  fv Log-Normal RP(P), Log-Normal    FALSE #> 11112  695 0.6437481 0.137433283  fv Log-Normal RP(P), Log-Normal    FALSE #> 11128  696 0.7796264 0.164444138  fv Log-Normal RP(P), Log-Normal    FALSE #> 11144  697 0.8935000 0.188433606  fv Log-Normal RP(P), Log-Normal    FALSE #> 11160  698 0.4678461 0.101556136  fv Log-Normal RP(P), Log-Normal    FALSE #> 11176  699 0.7196923 0.155980475  fv Log-Normal RP(P), Log-Normal    FALSE #> 11192  700 0.5476779 0.117221047  fv Log-Normal RP(P), Log-Normal    FALSE #> 11208  701 0.8599958 0.182880781  fv Log-Normal RP(P), Log-Normal    FALSE #> 11224  702 0.8684833 0.183468073  fv Log-Normal RP(P), Log-Normal    FALSE #> 11240  703 0.7419362 0.157049016  fv Log-Normal RP(P), Log-Normal    FALSE #> 11256  704 0.6422867 0.136115231  fv Log-Normal RP(P), Log-Normal    FALSE #> 11272  705 0.7063944 0.150466188  fv Log-Normal RP(P), Log-Normal    FALSE #> 11288  706 0.7662985 0.163581974  fv Log-Normal RP(P), Log-Normal    FALSE #> 11304  707 0.9691335 0.204225294  fv Log-Normal RP(P), Log-Normal    FALSE #> 11320  708 0.9287081 0.195346367  fv Log-Normal RP(P), Log-Normal    FALSE #> 11336  709 0.6754008 0.142370655  fv Log-Normal RP(P), Log-Normal    FALSE #> 11352  710 0.5128397 0.109458719  fv Log-Normal RP(P), Log-Normal    FALSE #> 11368  711 0.6479967 0.136748161  fv Log-Normal RP(P), Log-Normal    FALSE #> 11384  712 0.6760885 0.143146392  fv Log-Normal RP(P), Log-Normal    FALSE #> 11400  713 1.0587777 0.226926537  fv Log-Normal RP(P), Log-Normal    FALSE #> 11416  714 0.8103874 0.172391443  fv Log-Normal RP(P), Log-Normal    FALSE #> 11432  715 0.8616532 0.183384192  fv Log-Normal RP(P), Log-Normal    FALSE #> 11448  716 0.7627301 0.161883444  fv Log-Normal RP(P), Log-Normal    FALSE #> 11464  717 0.8267358 0.177301411  fv Log-Normal RP(P), Log-Normal    FALSE #> 11480  718 0.8593514 0.180603036  fv Log-Normal RP(P), Log-Normal    FALSE #> 11496  719 0.9936252 0.208990822  fv Log-Normal RP(P), Log-Normal    FALSE #> 11512  720 0.7871392 0.166350119  fv Log-Normal RP(P), Log-Normal    FALSE #> 11528  721 0.6135418 0.132430075  fv Log-Normal RP(P), Log-Normal    FALSE #> 11544  722 0.8048205 0.169138187  fv Log-Normal RP(P), Log-Normal    FALSE #> 11560  723 0.6336888 0.133709011  fv Log-Normal RP(P), Log-Normal    FALSE #> 11576  724 0.7570649 0.162435404  fv Log-Normal RP(P), Log-Normal    FALSE #> 11592  725 0.7604770 0.159995583  fv Log-Normal RP(P), Log-Normal    FALSE #> 11608  726 0.6782080 0.145809322  fv Log-Normal RP(P), Log-Normal    FALSE #> 11624  727 0.7886025 0.166038605  fv Log-Normal RP(P), Log-Normal    FALSE #> 11640  728 1.0345666 0.216064658  fv Log-Normal RP(P), Log-Normal    FALSE #> 11656  729 0.7882665 0.167027116  fv Log-Normal RP(P), Log-Normal    FALSE #> 11672  730 0.8534764 0.181349873  fv Log-Normal RP(P), Log-Normal    FALSE #> 11688  731 0.5696950 0.125642912  fv Log-Normal RP(P), Log-Normal    FALSE #> 11704  732 0.5007401 0.109484333  fv Log-Normal RP(P), Log-Normal    FALSE #> 11720  733 0.9913558 0.210293324  fv Log-Normal RP(P), Log-Normal    FALSE #> 11736  734 0.8984254 0.190596960  fv Log-Normal RP(P), Log-Normal    FALSE #> 11752  735 1.0045821 0.209748742  fv Log-Normal RP(P), Log-Normal    FALSE #> 11768  736 0.8546730 0.181624950  fv Log-Normal RP(P), Log-Normal    FALSE #> 11784  737 0.7414317 0.156044397  fv Log-Normal RP(P), Log-Normal    FALSE #> 11800  738 0.5333088 0.113415989  fv Log-Normal RP(P), Log-Normal    FALSE #> 11816  739 0.6038187 0.128465242  fv Log-Normal RP(P), Log-Normal    FALSE #> 11832  740 0.8191753 0.172172004  fv Log-Normal RP(P), Log-Normal    FALSE #> 11848  741 1.0159289 0.214617959  fv Log-Normal RP(P), Log-Normal    FALSE #> 11864  742 0.6619821 0.140186802  fv Log-Normal RP(P), Log-Normal    FALSE #> 11880  743 0.7680557 0.163357348  fv Log-Normal RP(P), Log-Normal    FALSE #> 11896  744 0.7937786 0.169514194  fv Log-Normal RP(P), Log-Normal    FALSE #> 11912  745 0.7812691 0.167323224  fv Log-Normal RP(P), Log-Normal    FALSE #> 11928  746 0.5998087 0.127989709  fv Log-Normal RP(P), Log-Normal    FALSE #> 11944  747 0.6568120 0.139744765  fv Log-Normal RP(P), Log-Normal    FALSE #> 11960  748 0.8625290 0.182461742  fv Log-Normal RP(P), Log-Normal    FALSE #> 11976  749 0.9144162 0.190862281  fv Log-Normal RP(P), Log-Normal    FALSE #> 11992  750 0.7515278 0.158912889  fv Log-Normal RP(P), Log-Normal    FALSE #> 12008  751 0.8962423 0.188510336  fv Log-Normal RP(P), Log-Normal    FALSE #> 12024  752 0.6919608 0.146949221  fv Log-Normal RP(P), Log-Normal    FALSE #> 12040  753 0.4449890 0.097148812  fv Log-Normal RP(P), Log-Normal    FALSE #> 12056  754 0.7894919 0.168720623  fv Log-Normal RP(P), Log-Normal    FALSE #> 12072  755 0.6692060 0.141962729  fv Log-Normal RP(P), Log-Normal    FALSE #> 12088  756 0.3791451 0.083307800  fv Log-Normal RP(P), Log-Normal    FALSE #> 12104  757 0.6778335 0.142766228  fv Log-Normal RP(P), Log-Normal    FALSE #> 12120  758 0.7767465 0.163788353  fv Log-Normal RP(P), Log-Normal    FALSE #> 12136  759 0.6789998 0.145162056  fv Log-Normal RP(P), Log-Normal    FALSE #> 12152  760 0.8683342 0.182144862  fv Log-Normal RP(P), Log-Normal    FALSE #> 12168  761 0.6313595 0.135984337  fv Log-Normal RP(P), Log-Normal    FALSE #> 12184  762 0.7627906 0.160815382  fv Log-Normal RP(P), Log-Normal    FALSE #> 12200  763 0.5636338 0.120435542  fv Log-Normal RP(P), Log-Normal    FALSE #> 12216  764 0.6550750 0.139154314  fv Log-Normal RP(P), Log-Normal    FALSE #> 12232  765 0.9488338 0.199510616  fv Log-Normal RP(P), Log-Normal    FALSE #> 12248  766 0.6551717 0.138803758  fv Log-Normal RP(P), Log-Normal    FALSE #> 12264  767 0.8757343 0.184959715  fv Log-Normal RP(P), Log-Normal    FALSE #> 12280  768 0.5887793 0.126819926  fv Log-Normal RP(P), Log-Normal    FALSE #> 12296  769 1.0171618 0.215500452  fv Log-Normal RP(P), Log-Normal    FALSE #> 12312  770 0.6148654 0.132775036  fv Log-Normal RP(P), Log-Normal    FALSE #> 12328  771 0.5976970 0.132295735  fv Log-Normal RP(P), Log-Normal    FALSE #> 12344  772 0.5871158 0.125960628  fv Log-Normal RP(P), Log-Normal    FALSE #> 12360  773 0.5685788 0.121516270  fv Log-Normal RP(P), Log-Normal    FALSE #> 12376  774 0.7244019 0.153578398  fv Log-Normal RP(P), Log-Normal    FALSE #> 12392  775 0.6802586 0.143831811  fv Log-Normal RP(P), Log-Normal    FALSE #> 12408  776 0.6866827 0.146032205  fv Log-Normal RP(P), Log-Normal    FALSE #> 12424  777 0.6203969 0.132172613  fv Log-Normal RP(P), Log-Normal    FALSE #> 12440  778 0.7183854 0.158574836  fv Log-Normal RP(P), Log-Normal    FALSE #> 12456  779 0.6753122 0.144883399  fv Log-Normal RP(P), Log-Normal    FALSE #> 12472  780 0.6160541 0.131106508  fv Log-Normal RP(P), Log-Normal    FALSE #> 12488  781 0.7326720 0.155116377  fv Log-Normal RP(P), Log-Normal    FALSE #> 12504  782 0.6621541 0.142738346  fv Log-Normal RP(P), Log-Normal    FALSE #> 12520  783 0.6287083 0.133979151  fv Log-Normal RP(P), Log-Normal    FALSE #> 12536  784 0.8098296 0.172015664  fv Log-Normal RP(P), Log-Normal    FALSE #> 12552  785 0.4960243 0.106711922  fv Log-Normal RP(P), Log-Normal    FALSE #> 12568  786 0.6282832 0.132700908  fv Log-Normal RP(P), Log-Normal    FALSE #> 12584  787 1.0193503 0.214991602  fv Log-Normal RP(P), Log-Normal    FALSE #> 12600  788 0.7023544 0.148436749  fv Log-Normal RP(P), Log-Normal    FALSE #> 12616  789 0.9366437 0.198809199  fv Log-Normal RP(P), Log-Normal    FALSE #> 12632  790 0.7471967 0.159328647  fv Log-Normal RP(P), Log-Normal    FALSE #> 12648  791 0.4173760 0.089707369  fv Log-Normal RP(P), Log-Normal    FALSE #> 12664  792 0.5457081 0.116097924  fv Log-Normal RP(P), Log-Normal    FALSE #> 12680  793 0.8483324 0.177748663  fv Log-Normal RP(P), Log-Normal    FALSE #> 12696  794 0.6784384 0.143937841  fv Log-Normal RP(P), Log-Normal    FALSE #> 12712  795 0.6359556 0.134828170  fv Log-Normal RP(P), Log-Normal    FALSE #> 12728  796 0.6165200 0.132435256  fv Log-Normal RP(P), Log-Normal    FALSE #> 12744  797 0.6907832 0.150317886  fv Log-Normal RP(P), Log-Normal    FALSE #> 12760  798 0.4117881 0.088709883  fv Log-Normal RP(P), Log-Normal    FALSE #> 12776  799 0.7682074 0.162286568  fv Log-Normal RP(P), Log-Normal    FALSE #> 12792  800 0.7651115 0.163718433  fv Log-Normal RP(P), Log-Normal    FALSE #> 12808  801 0.9873650 0.205793074  fv Log-Normal RP(P), Log-Normal    FALSE #> 12824  802 0.8000314 0.169900579  fv Log-Normal RP(P), Log-Normal    FALSE #> 12840  803 0.6589400 0.139023748  fv Log-Normal RP(P), Log-Normal    FALSE #> 12856  804 0.7561575 0.159117690  fv Log-Normal RP(P), Log-Normal    FALSE #> 12872  805 0.8335457 0.177422828  fv Log-Normal RP(P), Log-Normal    FALSE #> 12888  806 0.7948196 0.167169091  fv Log-Normal RP(P), Log-Normal    FALSE #> 12904  807 0.6478946 0.137327899  fv Log-Normal RP(P), Log-Normal    FALSE #> 12920  808 0.5049294 0.107753449  fv Log-Normal RP(P), Log-Normal    FALSE #> 12936  809 0.6866783 0.146444220  fv Log-Normal RP(P), Log-Normal    FALSE #> 12952  810 0.8176093 0.175570535  fv Log-Normal RP(P), Log-Normal    FALSE #> 12968  811 0.4701681 0.101472086  fv Log-Normal RP(P), Log-Normal    FALSE #> 12984  812 0.7254187 0.154409760  fv Log-Normal RP(P), Log-Normal    FALSE #> 13000  813 0.8822935 0.186603747  fv Log-Normal RP(P), Log-Normal    FALSE #> 13016  814 0.6854783 0.145765097  fv Log-Normal RP(P), Log-Normal    FALSE #> 13032  815 0.6016377 0.128446956  fv Log-Normal RP(P), Log-Normal    FALSE #> 13048  816 0.7010985 0.149468580  fv Log-Normal RP(P), Log-Normal    FALSE #> 13064  817 0.4708990 0.102155376  fv Log-Normal RP(P), Log-Normal    FALSE #> 13080  818 0.6450147 0.137380618  fv Log-Normal RP(P), Log-Normal    FALSE #> 13096  819 0.8378345 0.176970921  fv Log-Normal RP(P), Log-Normal    FALSE #> 13112  820 0.8576343 0.180150135  fv Log-Normal RP(P), Log-Normal    FALSE #> 13128  821 0.5662469 0.120721140  fv Log-Normal RP(P), Log-Normal    FALSE #> 13144  822 0.8889136 0.187187876  fv Log-Normal RP(P), Log-Normal    FALSE #> 13160  823 0.9775185 0.205187695  fv Log-Normal RP(P), Log-Normal    FALSE #> 13176  824 0.9211403 0.195513547  fv Log-Normal RP(P), Log-Normal    FALSE #> 13192  825 0.7635747 0.160829429  fv Log-Normal RP(P), Log-Normal    FALSE #> 13208  826 0.8164489 0.174414205  fv Log-Normal RP(P), Log-Normal    FALSE #> 13224  827 0.8926966 0.188893449  fv Log-Normal RP(P), Log-Normal    FALSE #> 13240  828 0.7527147 0.166002735  fv Log-Normal RP(P), Log-Normal    FALSE #> 13256  829 0.7122050 0.151290715  fv Log-Normal RP(P), Log-Normal    FALSE #> 13272  830 0.8138187 0.170842420  fv Log-Normal RP(P), Log-Normal    FALSE #> 13288  831 0.8730454 0.184519785  fv Log-Normal RP(P), Log-Normal    FALSE #> 13304  832 0.5916892 0.128420243  fv Log-Normal RP(P), Log-Normal    FALSE #> 13320  833 0.8830502 0.188067591  fv Log-Normal RP(P), Log-Normal    FALSE #> 13336  834 0.6506210 0.138700701  fv Log-Normal RP(P), Log-Normal    FALSE #> 13352  835 0.6835081 0.144988682  fv Log-Normal RP(P), Log-Normal    FALSE #> 13368  836 0.7839667 0.166049829  fv Log-Normal RP(P), Log-Normal    FALSE #> 13384  837 0.7779566 0.164337100  fv Log-Normal RP(P), Log-Normal    FALSE #> 13400  838 0.7060874 0.150748480  fv Log-Normal RP(P), Log-Normal    FALSE #> 13416  839 0.5924718 0.126535761  fv Log-Normal RP(P), Log-Normal    FALSE #> 13432  840 0.6193618 0.130899012  fv Log-Normal RP(P), Log-Normal    FALSE #> 13448  841 0.9297818 0.194868377  fv Log-Normal RP(P), Log-Normal    FALSE #> 13464  842 0.5606622 0.119736556  fv Log-Normal RP(P), Log-Normal    FALSE #> 13480  843 0.6762162 0.144251070  fv Log-Normal RP(P), Log-Normal    FALSE #> 13496  844 0.9144180 0.191981506  fv Log-Normal RP(P), Log-Normal    FALSE #> 13512  845 0.9881628 0.211034090  fv Log-Normal RP(P), Log-Normal    FALSE #> 13528  846 0.5534972 0.118336281  fv Log-Normal RP(P), Log-Normal    FALSE #> 13544  847 1.0290028 0.214054040  fv Log-Normal RP(P), Log-Normal    FALSE #> 13560  848 0.8411118 0.179136575  fv Log-Normal RP(P), Log-Normal    FALSE #> 13576  849 0.6203488 0.132377496  fv Log-Normal RP(P), Log-Normal    FALSE #> 13592  850 0.8147564 0.170744905  fv Log-Normal RP(P), Log-Normal    FALSE #> 13608  851 0.6998219 0.148832242  fv Log-Normal RP(P), Log-Normal    FALSE #> 13624  852 0.7564399 0.162157304  fv Log-Normal RP(P), Log-Normal    FALSE #> 13640  853 1.0395607 0.217703991  fv Log-Normal RP(P), Log-Normal    FALSE #> 13656  854 0.7111847 0.153481986  fv Log-Normal RP(P), Log-Normal    FALSE #> 13672  855 0.6556235 0.141046741  fv Log-Normal RP(P), Log-Normal    FALSE #> 13688  856 0.8817583 0.185649134  fv Log-Normal RP(P), Log-Normal    FALSE #> 13704  857 0.8236771 0.176693971  fv Log-Normal RP(P), Log-Normal    FALSE #> 13720  858 1.0746228 0.225811089  fv Log-Normal RP(P), Log-Normal    FALSE #> 13736  859 0.9032464 0.189257870  fv Log-Normal RP(P), Log-Normal    FALSE #> 13752  860 0.6669187 0.140695981  fv Log-Normal RP(P), Log-Normal    FALSE #> 13768  861 0.4674381 0.100584211  fv Log-Normal RP(P), Log-Normal    FALSE #> 13784  862 0.6539350 0.139109487  fv Log-Normal RP(P), Log-Normal    FALSE #> 13800  863 0.6985242 0.149374254  fv Log-Normal RP(P), Log-Normal    FALSE #> 13816  864 0.9300939 0.195732499  fv Log-Normal RP(P), Log-Normal    FALSE #> 13832  865 0.9147309 0.192068804  fv Log-Normal RP(P), Log-Normal    FALSE #> 13848  866 0.7371777 0.155715515  fv Log-Normal RP(P), Log-Normal    FALSE #> 13864  867 0.6011364 0.129343485  fv Log-Normal RP(P), Log-Normal    FALSE #> 13880  868 0.9004135 0.190191869  fv Log-Normal RP(P), Log-Normal    FALSE #> 13896  869 0.5327774 0.115070470  fv Log-Normal RP(P), Log-Normal    FALSE #> 13912  870 0.7729887 0.162396364  fv Log-Normal RP(P), Log-Normal    FALSE #> 13928  871 0.5056960 0.108030427  fv Log-Normal RP(P), Log-Normal    FALSE #> 13944  872 0.4679061 0.100976748  fv Log-Normal RP(P), Log-Normal    FALSE #> 13960  873 0.8761508 0.183471906  fv Log-Normal RP(P), Log-Normal    FALSE #> 13976  874 0.7799599 0.169034662  fv Log-Normal RP(P), Log-Normal    FALSE #> 13992  875 0.6787270 0.145232289  fv Log-Normal RP(P), Log-Normal    FALSE #> 14008  876 0.6180641 0.132265443  fv Log-Normal RP(P), Log-Normal    FALSE #> 14024  877 0.5860993 0.126704444  fv Log-Normal RP(P), Log-Normal    FALSE #> 14040  878 0.6935008 0.147945921  fv Log-Normal RP(P), Log-Normal    FALSE #> 14056  879 0.6991619 0.148966789  fv Log-Normal RP(P), Log-Normal    FALSE #> 14072  880 0.8484464 0.178825011  fv Log-Normal RP(P), Log-Normal    FALSE #> 14088  881 0.5680401 0.122215485  fv Log-Normal RP(P), Log-Normal    FALSE #> 14104  882 0.7194115 0.152466317  fv Log-Normal RP(P), Log-Normal    FALSE #> 14120  883 0.6455610 0.138335850  fv Log-Normal RP(P), Log-Normal    FALSE #> 14136  884 0.5987946 0.129856482  fv Log-Normal RP(P), Log-Normal    FALSE #> 14152  885 0.7790563 0.165257741  fv Log-Normal RP(P), Log-Normal    FALSE #> 14168  886 0.6659939 0.143104558  fv Log-Normal RP(P), Log-Normal    FALSE #> 14184  887 0.3835719 0.083984835  fv Log-Normal RP(P), Log-Normal    FALSE #> 14200  888 0.6800915 0.145916762  fv Log-Normal RP(P), Log-Normal    FALSE #> 14216  889 0.7790675 0.168710053  fv Log-Normal RP(P), Log-Normal    FALSE #> 14232  890 0.7112296 0.150790256  fv Log-Normal RP(P), Log-Normal    FALSE #> 14248  891 0.7533556 0.158934342  fv Log-Normal RP(P), Log-Normal    FALSE #> 14264  892 1.0280236 0.216825888  fv Log-Normal RP(P), Log-Normal    FALSE #> 14280  893 0.4979805 0.108875811  fv Log-Normal RP(P), Log-Normal    FALSE #> 14296  894 0.5899637 0.125759510  fv Log-Normal RP(P), Log-Normal    FALSE #> 14312  895 0.8458281 0.181512736  fv Log-Normal RP(P), Log-Normal    FALSE #> 14328  896 0.6045651 0.132440253  fv Log-Normal RP(P), Log-Normal    FALSE #> 14344  897 0.6866283 0.146988855  fv Log-Normal RP(P), Log-Normal    FALSE #> 14360  898 0.9461391 0.207475067  fv Log-Normal RP(P), Log-Normal    FALSE #> 14376  899 0.9445390 0.209309102  fv Log-Normal RP(P), Log-Normal    FALSE #> 14392  900 0.7393498 0.158497566  fv Log-Normal RP(P), Log-Normal    FALSE #> 14408  901 0.7860897 0.165549053  fv Log-Normal RP(P), Log-Normal    FALSE #> 14424  902 0.8546871 0.180690608  fv Log-Normal RP(P), Log-Normal    FALSE #> 14440  903 0.5857383 0.126360181  fv Log-Normal RP(P), Log-Normal    FALSE #> 14456  904 0.7061914 0.151616081  fv Log-Normal RP(P), Log-Normal    FALSE #> 14472  905 0.7376254 0.156073478  fv Log-Normal RP(P), Log-Normal    FALSE #> 14488  906 0.7232913 0.153209296  fv Log-Normal RP(P), Log-Normal    FALSE #> 14504  907 0.6382404 0.136709915  fv Log-Normal RP(P), Log-Normal    FALSE #> 14520  908 0.5651374 0.123783693  fv Log-Normal RP(P), Log-Normal    FALSE #> 14536  909 0.9548552 0.202591456  fv Log-Normal RP(P), Log-Normal    FALSE #> 14552  910 0.6873823 0.148859446  fv Log-Normal RP(P), Log-Normal    FALSE #> 14568  911 0.6891131 0.146179957  fv Log-Normal RP(P), Log-Normal    FALSE #> 14584  912 0.3917437 0.085173152  fv Log-Normal RP(P), Log-Normal    FALSE #> 14600  913 0.6144485 0.130166853  fv Log-Normal RP(P), Log-Normal    FALSE #> 14616  914 0.8656710 0.182025187  fv Log-Normal RP(P), Log-Normal    FALSE #> 14632  915 0.6897622 0.146139260  fv Log-Normal RP(P), Log-Normal    FALSE #> 14648  916 0.7306908 0.154546332  fv Log-Normal RP(P), Log-Normal    FALSE #> 14664  917 0.5319260 0.114753494  fv Log-Normal RP(P), Log-Normal    FALSE #> 14680  918 0.5755386 0.122888377  fv Log-Normal RP(P), Log-Normal    FALSE #> 14696  919 0.6552902 0.138537843  fv Log-Normal RP(P), Log-Normal    FALSE #> 14712  920 0.6870121 0.145734240  fv Log-Normal RP(P), Log-Normal    FALSE #> 14728  921 1.1915721 0.250004473  fv Log-Normal RP(P), Log-Normal     TRUE #> 14744  922 0.6152027 0.130501228  fv Log-Normal RP(P), Log-Normal    FALSE #> 14760  923 1.0916553 0.230692777  fv Log-Normal RP(P), Log-Normal    FALSE #> 14776  924 0.6760298 0.142944236  fv Log-Normal RP(P), Log-Normal    FALSE #> 14792  925 0.7494020 0.158189841  fv Log-Normal RP(P), Log-Normal    FALSE #> 14808  926 0.9539570 0.201126456  fv Log-Normal RP(P), Log-Normal    FALSE #> 14824  927 0.8094500 0.170148180  fv Log-Normal RP(P), Log-Normal    FALSE #> 14840  928 0.6872926 0.144714385  fv Log-Normal RP(P), Log-Normal    FALSE #> 14856  929 0.7639833 0.160366801  fv Log-Normal RP(P), Log-Normal    FALSE #> 14872  930 0.5785785 0.123893681  fv Log-Normal RP(P), Log-Normal    FALSE #> 14888  931 0.8122490 0.171642861  fv Log-Normal RP(P), Log-Normal    FALSE #> 14904  932 0.5424141 0.116670467  fv Log-Normal RP(P), Log-Normal    FALSE #> 14920  933 0.5758885 0.122632998  fv Log-Normal RP(P), Log-Normal    FALSE #> 14936  934 0.6847454 0.144785290  fv Log-Normal RP(P), Log-Normal    FALSE #> 14952  935 0.8990435 0.189337431  fv Log-Normal RP(P), Log-Normal    FALSE #> 14968  936 0.7029922 0.148015811  fv Log-Normal RP(P), Log-Normal    FALSE #> 14984  937 0.8511214 0.180869991  fv Log-Normal RP(P), Log-Normal    FALSE #> 15000  938 0.9018481 0.192865935  fv Log-Normal RP(P), Log-Normal    FALSE #> 15016  939 0.5681631 0.120827024  fv Log-Normal RP(P), Log-Normal    FALSE #> 15032  940 0.8683425 0.190570808  fv Log-Normal RP(P), Log-Normal    FALSE #> 15048  941 0.4731799 0.101370652  fv Log-Normal RP(P), Log-Normal    FALSE #> 15064  942 0.8718579 0.184619662  fv Log-Normal RP(P), Log-Normal    FALSE #> 15080  943 0.5215956 0.111687693  fv Log-Normal RP(P), Log-Normal    FALSE #> 15096  944 0.6585742 0.139791246  fv Log-Normal RP(P), Log-Normal    FALSE #> 15112  945 0.9998814 0.208886842  fv Log-Normal RP(P), Log-Normal    FALSE #> 15128  946 0.8286117 0.174615350  fv Log-Normal RP(P), Log-Normal    FALSE #> 15144  947 0.8353904 0.175679093  fv Log-Normal RP(P), Log-Normal    FALSE #> 15160  948 0.4626225 0.099317399  fv Log-Normal RP(P), Log-Normal    FALSE #> 15176  949 0.7781009 0.168477774  fv Log-Normal RP(P), Log-Normal    FALSE #> 15192  950 0.7759783 0.163272466  fv Log-Normal RP(P), Log-Normal    FALSE #> 15208  951 0.5897491 0.127953505  fv Log-Normal RP(P), Log-Normal    FALSE #> 15224  952 0.6290545 0.134915562  fv Log-Normal RP(P), Log-Normal    FALSE #> 15240  953 0.6030549 0.128014906  fv Log-Normal RP(P), Log-Normal    FALSE #> 15256  954 0.8211460 0.173732484  fv Log-Normal RP(P), Log-Normal    FALSE #> 15272  955 0.7009093 0.148157664  fv Log-Normal RP(P), Log-Normal    FALSE #> 15288  956 0.8915759 0.187676590  fv Log-Normal RP(P), Log-Normal    FALSE #> 15304  957 0.6267329 0.133922808  fv Log-Normal RP(P), Log-Normal    FALSE #> 15320  958 0.6016424 0.128035145  fv Log-Normal RP(P), Log-Normal    FALSE #> 15336  959 0.6840954 0.143990005  fv Log-Normal RP(P), Log-Normal    FALSE #> 15352  960 0.5972503 0.128658505  fv Log-Normal RP(P), Log-Normal    FALSE #> 15368  961 0.8240171 0.173195111  fv Log-Normal RP(P), Log-Normal    FALSE #> 15384  962 0.8506117 0.181056393  fv Log-Normal RP(P), Log-Normal    FALSE #> 15400  963 0.8979819 0.188022071  fv Log-Normal RP(P), Log-Normal    FALSE #> 15416  964 0.6863717 0.145397560  fv Log-Normal RP(P), Log-Normal    FALSE #> 15432  965 0.5656577 0.120857677  fv Log-Normal RP(P), Log-Normal    FALSE #> 15448  966 1.0575889 0.222503361  fv Log-Normal RP(P), Log-Normal    FALSE #> 15464  967 0.9055166 0.192117872  fv Log-Normal RP(P), Log-Normal    FALSE #> 15480  968 0.8399767 0.178050315  fv Log-Normal RP(P), Log-Normal    FALSE #> 15496  969 1.0258198 0.213819100  fv Log-Normal RP(P), Log-Normal    FALSE #> 15512  970 0.7745776 0.163833552  fv Log-Normal RP(P), Log-Normal    FALSE #> 15528  971 0.9605636 0.200926578  fv Log-Normal RP(P), Log-Normal    FALSE #> 15544  972 0.6146916 0.130993578  fv Log-Normal RP(P), Log-Normal    FALSE #> 15560  973 0.9199785 0.192746059  fv Log-Normal RP(P), Log-Normal    FALSE #> 15576  974 0.9125999 0.192011883  fv Log-Normal RP(P), Log-Normal    FALSE #> 15592  975 1.0480335 0.219730800  fv Log-Normal RP(P), Log-Normal    FALSE #> 15608  976 0.8193862 0.179589718  fv Log-Normal RP(P), Log-Normal    FALSE #> 15624  977 1.1556586 0.244268056  fv Log-Normal RP(P), Log-Normal     TRUE #> 15640  978 0.8382332 0.180255798  fv Log-Normal RP(P), Log-Normal    FALSE #> 15656  979 0.6259659 0.132736866  fv Log-Normal RP(P), Log-Normal    FALSE #> 15672  980 0.8406804 0.182112889  fv Log-Normal RP(P), Log-Normal    FALSE #> 15688  981 0.6702017 0.142022616  fv Log-Normal RP(P), Log-Normal    FALSE #> 15704  982 0.7070367 0.153212663  fv Log-Normal RP(P), Log-Normal    FALSE #> 15720  983 0.7404223 0.156213950  fv Log-Normal RP(P), Log-Normal    FALSE #> 15736  984 0.6419067 0.135852588  fv Log-Normal RP(P), Log-Normal    FALSE #> 15752  985 0.8310183 0.173870127  fv Log-Normal RP(P), Log-Normal    FALSE #> 15768  986 0.7701285 0.162750927  fv Log-Normal RP(P), Log-Normal    FALSE #> 15784  987 0.6682787 0.141252244  fv Log-Normal RP(P), Log-Normal    FALSE #> 15800  988 0.9022389 0.190619051  fv Log-Normal RP(P), Log-Normal    FALSE #> 15816  989 0.9754269 0.206348524  fv Log-Normal RP(P), Log-Normal    FALSE #> 15832  990 0.7016794 0.147600528  fv Log-Normal RP(P), Log-Normal    FALSE #> 15848  991 0.7990861 0.167185785  fv Log-Normal RP(P), Log-Normal    FALSE #> 15864  992 0.7155265 0.151583447  fv Log-Normal RP(P), Log-Normal    FALSE #> 15880  993 0.7555724 0.158552064  fv Log-Normal RP(P), Log-Normal    FALSE #> 15896  994 0.7013507 0.151341125  fv Log-Normal RP(P), Log-Normal    FALSE #> 15912  995 0.6369622 0.137876294  fv Log-Normal RP(P), Log-Normal    FALSE #> 15928  996 0.7173666 0.152233112  fv Log-Normal RP(P), Log-Normal    FALSE #> 15944  997 0.7181560 0.152642728  fv Log-Normal RP(P), Log-Normal    FALSE #> 15960  998 0.6523091 0.140451142  fv Log-Normal RP(P), Log-Normal    FALSE #> 15976  999 0.8016289 0.171180170  fv Log-Normal RP(P), Log-Normal    FALSE #> 15992 1000 0.7201794 0.155276856  fv Log-Normal RP(P), Log-Normal    FALSE  # Using regular standardisation: dropbig(   data = frailty2, estvarname = \"b\", se = \"se\",   methodvar = \"model\", by = \"fv_dist\", max = 2, semax = 2, robust = FALSE ) #>          i         b          se par    fv_dist             model .dropbig #> 1        1 0.6569546 0.125696425  fv      Gamma        Cox, Gamma    FALSE #> 17       2 0.6613376 0.129510423  fv      Gamma        Cox, Gamma    FALSE #> 33       3 1.0953274 0.206427350  fv      Gamma        Cox, Gamma     TRUE #> 49       4 0.8406551 0.156744704  fv      Gamma        Cox, Gamma    FALSE #> 65       5 0.7027899 0.135173710  fv      Gamma        Cox, Gamma    FALSE #> 81       6 0.7745830 0.145766148  fv      Gamma        Cox, Gamma    FALSE #> 97       7 0.6471639 0.124092810  fv      Gamma        Cox, Gamma    FALSE #> 113      8 0.9999895 0.185104048  fv      Gamma        Cox, Gamma    FALSE #> 129      9 0.8249801 0.156193824  fv      Gamma        Cox, Gamma    FALSE #> 145     10 0.8173031 0.154691420  fv      Gamma        Cox, Gamma    FALSE #> 161     11 0.8131207 0.155467829  fv      Gamma        Cox, Gamma    FALSE #> 177     12 0.9917031 0.183639448  fv      Gamma        Cox, Gamma    FALSE #> 193     13 0.9497115 0.177544292  fv      Gamma        Cox, Gamma    FALSE #> 209     14 0.5818812 0.115038898  fv      Gamma        Cox, Gamma    FALSE #> 225     15 0.8821317          NA  fv      Gamma        Cox, Gamma       NA #> 241     16 1.0080549 0.185306797  fv      Gamma        Cox, Gamma    FALSE #> 257     17 0.5966007          NA  fv      Gamma        Cox, Gamma       NA #> 273     18 0.4670966 0.096268874  fv      Gamma        Cox, Gamma    FALSE #> 289     19 0.7333278 0.139560619  fv      Gamma        Cox, Gamma    FALSE #> 305     20 0.9569888 0.178946282  fv      Gamma        Cox, Gamma    FALSE #> 321     21 0.5534068 0.111432621  fv      Gamma        Cox, Gamma    FALSE #> 337     22 0.8922715 0.168260755  fv      Gamma        Cox, Gamma    FALSE #> 353     23 0.6148386 0.118749326  fv      Gamma        Cox, Gamma    FALSE #> 369     24 0.7503412 0.141751724  fv      Gamma        Cox, Gamma    FALSE #> 385     25 0.7795077 0.147239297  fv      Gamma        Cox, Gamma    FALSE #> 401     26 0.7226755 0.138933052  fv      Gamma        Cox, Gamma    FALSE #> 417     27 1.1454385 0.211444516  fv      Gamma        Cox, Gamma     TRUE #> 433     28 1.0146311 0.187317613  fv      Gamma        Cox, Gamma    FALSE #> 449     29 0.9243730 0.171650779  fv      Gamma        Cox, Gamma    FALSE #> 465     30 0.9627598 0.180455732  fv      Gamma        Cox, Gamma    FALSE #> 481     31 0.6097090 0.120254015  fv      Gamma        Cox, Gamma    FALSE #> 497     32 0.7776626 0.148059501  fv      Gamma        Cox, Gamma    FALSE #> 513     33 0.5967068 0.115380144  fv      Gamma        Cox, Gamma    FALSE #> 529     34 0.5604221 0.109501220  fv      Gamma        Cox, Gamma    FALSE #> 545     35 0.7513179 0.145994135  fv      Gamma        Cox, Gamma    FALSE #> 561     36 0.6005370 0.119633066  fv      Gamma        Cox, Gamma    FALSE #> 577     37 0.5965864 0.115755917  fv      Gamma        Cox, Gamma    FALSE #> 593     38 0.5250277 0.103624408  fv      Gamma        Cox, Gamma    FALSE #> 609     39 0.7131612 0.135237995  fv      Gamma        Cox, Gamma    FALSE #> 625     40 0.4799652 0.095913495  fv      Gamma        Cox, Gamma    FALSE #> 641     41 1.1936478 0.213913615  fv      Gamma        Cox, Gamma     TRUE #> 657     42 0.7119055 0.138537976  fv      Gamma        Cox, Gamma    FALSE #> 673     43 0.8157571 0.153496265  fv      Gamma        Cox, Gamma    FALSE #> 689     44 0.8510680 0.159321249  fv      Gamma        Cox, Gamma    FALSE #> 705     45 0.7759695 0.146268948  fv      Gamma        Cox, Gamma    FALSE #> 721     46 0.7346442 0.139055138  fv      Gamma        Cox, Gamma    FALSE #> 737     47 0.9080543 0.172117120  fv      Gamma        Cox, Gamma    FALSE #> 753     48 0.7536020 0.144378149  fv      Gamma        Cox, Gamma    FALSE #> 769     49 0.7841137 0.149576489  fv      Gamma        Cox, Gamma    FALSE #> 785     50 0.7177537 0.136129350  fv      Gamma        Cox, Gamma    FALSE #> 801     51 0.8978122 0.167355928  fv      Gamma        Cox, Gamma    FALSE #> 817     52 0.6175795 0.122643583  fv      Gamma        Cox, Gamma    FALSE #> 833     53 0.6747666 0.130004394  fv      Gamma        Cox, Gamma    FALSE #> 849     54 0.5300899 0.104816453  fv      Gamma        Cox, Gamma    FALSE #> 865     55 0.7787970 0.147506719  fv      Gamma        Cox, Gamma    FALSE #> 881     56 0.7118185 0.137916725  fv      Gamma        Cox, Gamma    FALSE #> 897     57 0.7858698 0.147909226  fv      Gamma        Cox, Gamma    FALSE #> 913     58 0.6599301 0.129157781  fv      Gamma        Cox, Gamma    FALSE #> 929     59 0.7204171 0.137316794  fv      Gamma        Cox, Gamma    FALSE #> 945     60 0.7932676 0.149975681  fv      Gamma        Cox, Gamma    FALSE #> 961     61 0.6694679 0.127685261  fv      Gamma        Cox, Gamma    FALSE #> 977     62 0.6581751 0.128702271  fv      Gamma        Cox, Gamma    FALSE #> 993     63 0.8591200 0.161433261  fv      Gamma        Cox, Gamma    FALSE #> 1009    64 0.6534059 0.125264584  fv      Gamma        Cox, Gamma    FALSE #> 1025    65 0.6942950 0.131759071  fv      Gamma        Cox, Gamma    FALSE #> 1041    66 0.5443571 0.107289026  fv      Gamma        Cox, Gamma    FALSE #> 1057    67 0.8156791 0.152361675  fv      Gamma        Cox, Gamma    FALSE #> 1073    68 0.7439907 0.141612286  fv      Gamma        Cox, Gamma    FALSE #> 1089    69 0.5563484 0.109062941  fv      Gamma        Cox, Gamma    FALSE #> 1105    70 0.7094223 0.138731564  fv      Gamma        Cox, Gamma    FALSE #> 1121    71 0.9385094 0.173908062  fv      Gamma        Cox, Gamma    FALSE #> 1137    72 0.6524139 0.125365577  fv      Gamma        Cox, Gamma    FALSE #> 1153    73 0.4720556 0.093786069  fv      Gamma        Cox, Gamma    FALSE #> 1169    74 0.6739725 0.128962357  fv      Gamma        Cox, Gamma    FALSE #> 1185    75 0.6948754 0.133454468  fv      Gamma        Cox, Gamma    FALSE #> 1201    76 0.6981009 0.137070297  fv      Gamma        Cox, Gamma    FALSE #> 1217    77 0.7876992 0.150774294  fv      Gamma        Cox, Gamma    FALSE #> 1233    78 1.0321320 0.191564904  fv      Gamma        Cox, Gamma     TRUE #> 1249    79 1.3305115 0.241107247  fv      Gamma        Cox, Gamma     TRUE #> 1265    80 0.6233959          NA  fv      Gamma        Cox, Gamma       NA #> 1281    81 0.9222954 0.175122280  fv      Gamma        Cox, Gamma    FALSE #> 1297    82 0.7312982 0.138898303  fv      Gamma        Cox, Gamma    FALSE #> 1313    83 0.4805826 0.099069389  fv      Gamma        Cox, Gamma    FALSE #> 1329    84 0.7162687 0.135900182  fv      Gamma        Cox, Gamma    FALSE #> 1345    85 0.7361328 0.139875756  fv      Gamma        Cox, Gamma    FALSE #> 1361    86 0.7164863 0.136540922  fv      Gamma        Cox, Gamma    FALSE #> 1377    87 0.5816154 0.112900191  fv      Gamma        Cox, Gamma    FALSE #> 1393    88 0.7229512 0.137090004  fv      Gamma        Cox, Gamma    FALSE #> 1409    89 0.7304707 0.138664712  fv      Gamma        Cox, Gamma    FALSE #> 1425    90 0.8836079 0.164198901  fv      Gamma        Cox, Gamma    FALSE #> 1441    91 0.7189481          NA  fv      Gamma        Cox, Gamma       NA #> 1457    92 0.6588464 0.126022294  fv      Gamma        Cox, Gamma    FALSE #> 1473    93 0.9816849 0.189387187  fv      Gamma        Cox, Gamma    FALSE #> 1489    94 0.8230985 0.157285147  fv      Gamma        Cox, Gamma    FALSE #> 1505    95 0.7466798 0.141511812  fv      Gamma        Cox, Gamma    FALSE #> 1521    96 0.4641167 0.092989583  fv      Gamma        Cox, Gamma    FALSE #> 1537    97 0.5859572 0.113349778  fv      Gamma        Cox, Gamma    FALSE #> 1553    98 0.8012617 0.151058934  fv      Gamma        Cox, Gamma    FALSE #> 1569    99 0.5711848 0.112322499  fv      Gamma        Cox, Gamma    FALSE #> 1585   100 0.8500351 0.158095260  fv      Gamma        Cox, Gamma    FALSE #> 1601   101 0.8357950 0.155451666  fv      Gamma        Cox, Gamma    FALSE #> 1617   102 0.7019364 0.133488910  fv      Gamma        Cox, Gamma    FALSE #> 1633   103 0.8787124 0.167784796  fv      Gamma        Cox, Gamma    FALSE #> 1649   104 0.7382161 0.139205129  fv      Gamma        Cox, Gamma    FALSE #> 1665   105 0.8438084 0.159385939  fv      Gamma        Cox, Gamma    FALSE #> 1681   106 0.7100979 0.135186030  fv      Gamma        Cox, Gamma    FALSE #> 1697   107 0.8909452 0.169147434  fv      Gamma        Cox, Gamma    FALSE #> 1713   108 0.7774559 0.150824798  fv      Gamma        Cox, Gamma    FALSE #> 1729   109 0.6953965 0.134268584  fv      Gamma        Cox, Gamma    FALSE #> 1745   110 0.7992946 0.150758285  fv      Gamma        Cox, Gamma    FALSE #> 1761   111 0.8471403 0.159125513  fv      Gamma        Cox, Gamma    FALSE #> 1777   112 0.4643017 0.092950661  fv      Gamma        Cox, Gamma    FALSE #> 1793   113 0.5483133 0.107644803  fv      Gamma        Cox, Gamma    FALSE #> 1809   114 1.1737434 0.213064251  fv      Gamma        Cox, Gamma     TRUE #> 1825   115 0.6447690 0.123844155  fv      Gamma        Cox, Gamma    FALSE #> 1841   116 0.5122411 0.101175678  fv      Gamma        Cox, Gamma    FALSE #> 1857   117 0.7563907 0.142289904  fv      Gamma        Cox, Gamma    FALSE #> 1873   118 0.5579905 0.109454501  fv      Gamma        Cox, Gamma    FALSE #> 1889   119 0.6022598 0.116858325  fv      Gamma        Cox, Gamma    FALSE #> 1905   120 0.7124728 0.135859121  fv      Gamma        Cox, Gamma    FALSE #> 1921   121 0.6402494 0.124028005  fv      Gamma        Cox, Gamma    FALSE #> 1937   122 0.6346064 0.122733103  fv      Gamma        Cox, Gamma    FALSE #> 1953   123 0.7902516 0.149333148  fv      Gamma        Cox, Gamma    FALSE #> 1969   124 0.7329650 0.138554104  fv      Gamma        Cox, Gamma    FALSE #> 1985   125 0.8161002 0.155025922  fv      Gamma        Cox, Gamma    FALSE #> 2001   126 0.9990640 0.191074644  fv      Gamma        Cox, Gamma    FALSE #> 2017   127 0.8700787 0.162375752  fv      Gamma        Cox, Gamma    FALSE #> 2033   128 0.8619723 0.161242325  fv      Gamma        Cox, Gamma    FALSE #> 2049   129 0.5981983 0.118892839  fv      Gamma        Cox, Gamma    FALSE #> 2065   130 0.6716077 0.128978878  fv      Gamma        Cox, Gamma    FALSE #> 2081   131 0.6123596 0.117347356  fv      Gamma        Cox, Gamma    FALSE #> 2097   132 0.7632396 0.147960034  fv      Gamma        Cox, Gamma    FALSE #> 2113   133 0.7684878 0.147084782  fv      Gamma        Cox, Gamma    FALSE #> 2129   134 0.7563895 0.143358097  fv      Gamma        Cox, Gamma    FALSE #> 2145   135 0.5840973 0.113775282  fv      Gamma        Cox, Gamma    FALSE #> 2161   136 0.8139715 0.154214677  fv      Gamma        Cox, Gamma    FALSE #> 2177   137 0.8279570 0.155323396  fv      Gamma        Cox, Gamma    FALSE #> 2193   138 0.9684096 0.181892869  fv      Gamma        Cox, Gamma    FALSE #> 2209   139 0.6380475 0.122896692  fv      Gamma        Cox, Gamma    FALSE #> 2225   140 0.7126356          NA  fv      Gamma        Cox, Gamma       NA #> 2241   141 0.5544497 0.005829212  fv      Gamma        Cox, Gamma     TRUE #> 2257   142 0.6984548 0.133299410  fv      Gamma        Cox, Gamma    FALSE #> 2273   143 1.1447313 0.218348635  fv      Gamma        Cox, Gamma     TRUE #> 2289   144 0.8534851 0.158864910  fv      Gamma        Cox, Gamma    FALSE #> 2305   145 0.6954310 0.132985154  fv      Gamma        Cox, Gamma    FALSE #> 2321   146 0.6862429 0.131920086  fv      Gamma        Cox, Gamma    FALSE #> 2337   147 0.8487307 0.158487657  fv      Gamma        Cox, Gamma    FALSE #> 2353   148 0.5181133 0.101967871  fv      Gamma        Cox, Gamma    FALSE #> 2369   149 0.6841244 0.131624816  fv      Gamma        Cox, Gamma    FALSE #> 2385   150 0.8869154 0.165727435  fv      Gamma        Cox, Gamma    FALSE #> 2401   151 0.8331944 0.156397071  fv      Gamma        Cox, Gamma    FALSE #> 2417   152 0.7961492 0.152467958  fv      Gamma        Cox, Gamma    FALSE #> 2433   153 0.4915269 0.097749704  fv      Gamma        Cox, Gamma    FALSE #> 2449   154 0.8353449 0.156425229  fv      Gamma        Cox, Gamma    FALSE #> 2465   155 0.6917804 0.135298989  fv      Gamma        Cox, Gamma    FALSE #> 2481   156 0.7141483 0.135622707  fv      Gamma        Cox, Gamma    FALSE #> 2497   157 0.9579114 0.180865947  fv      Gamma        Cox, Gamma    FALSE #> 2513   158 0.9919173 0.186831104  fv      Gamma        Cox, Gamma    FALSE #> 2529   159 0.5056687 0.100572196  fv      Gamma        Cox, Gamma    FALSE #> 2545   160 0.5668849 0.110729771  fv      Gamma        Cox, Gamma    FALSE #> 2561   161 1.1593267 0.211623189  fv      Gamma        Cox, Gamma     TRUE #> 2577   162 0.6686198 0.129654468  fv      Gamma        Cox, Gamma    FALSE #> 2593   163 0.5947095 0.115432055  fv      Gamma        Cox, Gamma    FALSE #> 2609   164 0.9409729 0.174195456  fv      Gamma        Cox, Gamma    FALSE #> 2625   165 0.7712525 0.145156218  fv      Gamma        Cox, Gamma    FALSE #> 2641   166 0.7944783 0.152945382  fv      Gamma        Cox, Gamma    FALSE #> 2657   167 0.8759279 0.163421782  fv      Gamma        Cox, Gamma    FALSE #> 2673   168 0.9305016 0.172681632  fv      Gamma        Cox, Gamma    FALSE #> 2689   169 0.6998018 0.134466938  fv      Gamma        Cox, Gamma    FALSE #> 2705   170 0.6956819 0.133436242  fv      Gamma        Cox, Gamma    FALSE #> 2721   171 0.6792319 0.131731221  fv      Gamma        Cox, Gamma    FALSE #> 2737   172 0.8680243 0.162039061  fv      Gamma        Cox, Gamma    FALSE #> 2753   173 0.5991408 0.117150299  fv      Gamma        Cox, Gamma    FALSE #> 2769   174 0.8197266 0.154957877  fv      Gamma        Cox, Gamma    FALSE #> 2785   175 0.6402142 0.124225276  fv      Gamma        Cox, Gamma    FALSE #> 2801   176 0.6677623 0.127397054  fv      Gamma        Cox, Gamma    FALSE #> 2817   177 0.5600635 0.111041351  fv      Gamma        Cox, Gamma    FALSE #> 2833   178 0.8664575 0.161085253  fv      Gamma        Cox, Gamma    FALSE #> 2849   179 0.5696270 0.110580250  fv      Gamma        Cox, Gamma    FALSE #> 2865   180 0.7490451 0.145597001  fv      Gamma        Cox, Gamma    FALSE #> 2881   181 0.8332298 0.156165685  fv      Gamma        Cox, Gamma    FALSE #> 2897   182 0.7299111 0.138267866  fv      Gamma        Cox, Gamma    FALSE #> 2913   183 0.5643054 0.109921943  fv      Gamma        Cox, Gamma    FALSE #> 2929   184 0.6713498 0.129903821  fv      Gamma        Cox, Gamma    FALSE #> 2945   185 0.8565735 0.161036493  fv      Gamma        Cox, Gamma    FALSE #> 2961   186 0.9053793 0.172727818  fv      Gamma        Cox, Gamma    FALSE #> 2977   187 0.7412392 0.141072766  fv      Gamma        Cox, Gamma    FALSE #> 2993   188 0.5539059 0.108329615  fv      Gamma        Cox, Gamma    FALSE #> 3009   189 0.7630802 0.144798954  fv      Gamma        Cox, Gamma    FALSE #> 3025   190 0.7739996 0.145679338  fv      Gamma        Cox, Gamma    FALSE #> 3041   191 0.7531330 0.142505520  fv      Gamma        Cox, Gamma    FALSE #> 3057   192 0.7746974 0.149498584  fv      Gamma        Cox, Gamma    FALSE #> 3073   193 0.6405375 0.123698525  fv      Gamma        Cox, Gamma    FALSE #> 3089   194 0.5955132 0.115145832  fv      Gamma        Cox, Gamma    FALSE #> 3105   195 0.8745908 0.162591705  fv      Gamma        Cox, Gamma    FALSE #> 3121   196 0.8178457 0.154589268  fv      Gamma        Cox, Gamma    FALSE #> 3137   197 0.7511736 0.141661815  fv      Gamma        Cox, Gamma    FALSE #> 3153   198 0.7769079 0.146017528  fv      Gamma        Cox, Gamma    FALSE #> 3169   199 0.5582030 0.109200412  fv      Gamma        Cox, Gamma    FALSE #> 3185   200 0.8259496 0.154374691  fv      Gamma        Cox, Gamma    FALSE #> 3201   201 0.7413535 0.141501117  fv      Gamma        Cox, Gamma    FALSE #> 3217   202 0.7883145 0.147891265  fv      Gamma        Cox, Gamma    FALSE #> 3233   203 0.7376850 0.139098696  fv      Gamma        Cox, Gamma    FALSE #> 3249   204 0.7431473 0.145125912  fv      Gamma        Cox, Gamma    FALSE #> 3265   205 0.5968534 0.116380154  fv      Gamma        Cox, Gamma    FALSE #> 3281   206 0.7364319 0.139955581  fv      Gamma        Cox, Gamma    FALSE #> 3297   207 0.5674448 0.110932711  fv      Gamma        Cox, Gamma    FALSE #> 3313   208 0.7440635 0.141631276  fv      Gamma        Cox, Gamma    FALSE #> 3329   209 0.6788077 0.130198366  fv      Gamma        Cox, Gamma    FALSE #> 3345   210 0.6888451 0.132771993  fv      Gamma        Cox, Gamma    FALSE #> 3361   211 0.9803778 0.184836601  fv      Gamma        Cox, Gamma    FALSE #> 3377   212 0.7256449 0.141318320  fv      Gamma        Cox, Gamma    FALSE #> 3393   213 0.8183619 0.154776877  fv      Gamma        Cox, Gamma    FALSE #> 3409   214 0.6497936 0.125621597  fv      Gamma        Cox, Gamma    FALSE #> 3425   215 0.8793079 0.164432320  fv      Gamma        Cox, Gamma    FALSE #> 3441   216 0.9162205 0.170569691  fv      Gamma        Cox, Gamma    FALSE #> 3457   217 0.6777625 0.131187108  fv      Gamma        Cox, Gamma    FALSE #> 3473   218 0.6131194 0.119393013  fv      Gamma        Cox, Gamma    FALSE #> 3489   219 0.8569040 0.162515848  fv      Gamma        Cox, Gamma    FALSE #> 3505   220 0.5628894 0.109933688  fv      Gamma        Cox, Gamma    FALSE #> 3521   221 0.7097276 0.136447984  fv      Gamma        Cox, Gamma    FALSE #> 3537   222 0.7727905 0.147170732  fv      Gamma        Cox, Gamma    FALSE #> 3553   223 0.7964844 0.154284092  fv      Gamma        Cox, Gamma    FALSE #> 3569   224 0.7614475 0.144615174  fv      Gamma        Cox, Gamma    FALSE #> 3585   225 0.6722549 0.129075014  fv      Gamma        Cox, Gamma    FALSE #> 3601   226 0.8333519 0.160111938  fv      Gamma        Cox, Gamma    FALSE #> 3617   227 0.6560251 0.126793123  fv      Gamma        Cox, Gamma    FALSE #> 3633   228 0.8900574 0.165684363  fv      Gamma        Cox, Gamma    FALSE #> 3649   229 0.7783440 0.147316655  fv      Gamma        Cox, Gamma    FALSE #> 3665   230 0.7010892 0.133597427  fv      Gamma        Cox, Gamma    FALSE #> 3681   231 0.7965352 0.151151697  fv      Gamma        Cox, Gamma    FALSE #> 3697   232 0.7331452 0.142033787  fv      Gamma        Cox, Gamma    FALSE #> 3713   233 0.8746416 0.164268652  fv      Gamma        Cox, Gamma    FALSE #> 3729   234 0.6285312 0.121126267  fv      Gamma        Cox, Gamma    FALSE #> 3745   235 0.7432271 0.143094417  fv      Gamma        Cox, Gamma    FALSE #> 3761   236 0.4979838 0.099104026  fv      Gamma        Cox, Gamma    FALSE #> 3777   237 0.6728080 0.130707771  fv      Gamma        Cox, Gamma    FALSE #> 3793   238 0.5840668 0.114928913  fv      Gamma        Cox, Gamma    FALSE #> 3809   239 0.7097176 0.134414945  fv      Gamma        Cox, Gamma    FALSE #> 3825   240 0.8599517 0.164169343  fv      Gamma        Cox, Gamma    FALSE #> 3841   241 0.6564593 0.126134874  fv      Gamma        Cox, Gamma    FALSE #> 3857   242 0.5141763 0.101693306  fv      Gamma        Cox, Gamma    FALSE #> 3873   243 0.8631191 0.166522993  fv      Gamma        Cox, Gamma    FALSE #> 3889   244 0.5648038 0.110152544  fv      Gamma        Cox, Gamma    FALSE #> 3905   245 0.9067207 0.169979694  fv      Gamma        Cox, Gamma    FALSE #> 3921   246 0.6699933 0.127877304  fv      Gamma        Cox, Gamma    FALSE #> 3937   247 0.7658413 0.145211179  fv      Gamma        Cox, Gamma    FALSE #> 3953   248 0.9431198 0.174221858  fv      Gamma        Cox, Gamma    FALSE #> 3969   249 0.9559739 0.179913652  fv      Gamma        Cox, Gamma    FALSE #> 3985   250 0.7309363 0.139895733  fv      Gamma        Cox, Gamma    FALSE #> 4001   251 0.7953055 0.152686790  fv      Gamma        Cox, Gamma    FALSE #> 4017   252 0.8009815 0.153887446  fv      Gamma        Cox, Gamma    FALSE #> 4033   253 0.9063613 0.176153220  fv      Gamma        Cox, Gamma    FALSE #> 4049   254 0.5192107 0.101929593  fv      Gamma        Cox, Gamma    FALSE #> 4065   255 0.7741374 0.145083036  fv      Gamma        Cox, Gamma    FALSE #> 4081   256 0.7237488 0.138470282  fv      Gamma        Cox, Gamma    FALSE #> 4097   257 0.5354834 0.104354126  fv      Gamma        Cox, Gamma    FALSE #> 4113   258 0.7012728 0.138891396  fv      Gamma        Cox, Gamma    FALSE #> 4129   259 0.7423993 0.141143911  fv      Gamma        Cox, Gamma    FALSE #> 4145   260 0.8676835 0.162799994  fv      Gamma        Cox, Gamma    FALSE #> 4161   261 0.4985565 0.098347563  fv      Gamma        Cox, Gamma    FALSE #> 4177   262 0.7309571 0.140660952  fv      Gamma        Cox, Gamma    FALSE #> 4193   263 0.6045868 0.117674653  fv      Gamma        Cox, Gamma    FALSE #> 4209   264 0.5101925 0.100166533  fv      Gamma        Cox, Gamma    FALSE #> 4225   265 0.5926958 0.114423413  fv      Gamma        Cox, Gamma    FALSE #> 4241   266 0.6141473 0.118472417  fv      Gamma        Cox, Gamma    FALSE #> 4257   267 0.7089350 0.135707003  fv      Gamma        Cox, Gamma    FALSE #> 4273   268 0.7461537 0.141208361  fv      Gamma        Cox, Gamma    FALSE #> 4289   269 1.0603612 0.198754812  fv      Gamma        Cox, Gamma     TRUE #> 4305   270 0.9058827 0.173864681  fv      Gamma        Cox, Gamma    FALSE #> 4321   271 0.8913131 0.167006421  fv      Gamma        Cox, Gamma    FALSE #> 4337   272 0.5385219 0.106340887  fv      Gamma        Cox, Gamma    FALSE #> 4353   273 0.6611358 0.127691135  fv      Gamma        Cox, Gamma    FALSE #> 4369   274 0.7211689 0.136721186  fv      Gamma        Cox, Gamma    FALSE #> 4385   275 0.8557535 0.159471673  fv      Gamma        Cox, Gamma    FALSE #> 4401   276 0.8100907 0.155893661  fv      Gamma        Cox, Gamma    FALSE #> 4417   277 0.6766183 0.128987177  fv      Gamma        Cox, Gamma    FALSE #> 4433   278 0.7339860 0.138921953  fv      Gamma        Cox, Gamma    FALSE #> 4449   279 0.7292968 0.138338078  fv      Gamma        Cox, Gamma    FALSE #> 4465   280 0.7607655 0.143846232  fv      Gamma        Cox, Gamma    FALSE #> 4481   281 1.0222759 0.191682241  fv      Gamma        Cox, Gamma     TRUE #> 4497   282 0.6012837 0.116686105  fv      Gamma        Cox, Gamma    FALSE #> 4513   283 0.8065287 0.008370025  fv      Gamma        Cox, Gamma     TRUE #> 4529   284 0.6538202 0.125329340  fv      Gamma        Cox, Gamma    FALSE #> 4545   285 0.5004678 0.098826427  fv      Gamma        Cox, Gamma    FALSE #> 4561   286 0.7617749 0.144340603  fv      Gamma        Cox, Gamma    FALSE #> 4577   287 0.6411900 0.124111128  fv      Gamma        Cox, Gamma    FALSE #> 4593   288 1.2156838 0.222204393  fv      Gamma        Cox, Gamma     TRUE #> 4609   289 0.6293359 0.121873921  fv      Gamma        Cox, Gamma    FALSE #> 4625   290 0.5973796 0.115942379  fv      Gamma        Cox, Gamma    FALSE #> 4641   291 0.6142454          NA  fv      Gamma        Cox, Gamma       NA #> 4657   292 0.6275111 0.121149223  fv      Gamma        Cox, Gamma    FALSE #> 4673   293 0.8857171 0.166063448  fv      Gamma        Cox, Gamma    FALSE #> 4689   294 0.6322969 0.122255267  fv      Gamma        Cox, Gamma    FALSE #> 4705   295 1.0640640 0.195201183  fv      Gamma        Cox, Gamma     TRUE #> 4721   296 0.7341485 0.140160744  fv      Gamma        Cox, Gamma    FALSE #> 4737   297 1.1991235 0.216487970  fv      Gamma        Cox, Gamma     TRUE #> 4753   298 0.5712964 0.111273754  fv      Gamma        Cox, Gamma    FALSE #> 4769   299 0.5672383 0.111172863  fv      Gamma        Cox, Gamma    FALSE #> 4785   300 0.8495776 0.158426390  fv      Gamma        Cox, Gamma    FALSE #> 4801   301 0.5310383 0.104267983  fv      Gamma        Cox, Gamma    FALSE #> 4817   302 0.7523369 0.141562397  fv      Gamma        Cox, Gamma    FALSE #> 4833   303 0.6689623 0.129247470  fv      Gamma        Cox, Gamma    FALSE #> 4849   304 0.7352516 0.140697289  fv      Gamma        Cox, Gamma    FALSE #> 4865   305 0.8685145 0.162232921  fv      Gamma        Cox, Gamma    FALSE #> 4881   306 0.7403740 0.140931785  fv      Gamma        Cox, Gamma    FALSE #> 4897   307 0.7625273 0.146362956  fv      Gamma        Cox, Gamma    FALSE #> 4913   308 0.6529047 0.125331572  fv      Gamma        Cox, Gamma    FALSE #> 4929   309 0.7335789 0.138755400  fv      Gamma        Cox, Gamma    FALSE #> 4945   310 1.0352441 0.191706968  fv      Gamma        Cox, Gamma     TRUE #> 4961   311 0.8210888 0.154167236  fv      Gamma        Cox, Gamma    FALSE #> 4977   312 1.1316319 0.214506331  fv      Gamma        Cox, Gamma     TRUE #> 4993   313 0.7858570 0.148363040  fv      Gamma        Cox, Gamma    FALSE #> 5009   314 0.6270082 0.121419429  fv      Gamma        Cox, Gamma    FALSE #> 5025   315 0.7580926 0.143019862  fv      Gamma        Cox, Gamma    FALSE #> 5041   316 1.0442184 0.191879128  fv      Gamma        Cox, Gamma     TRUE #> 5057   317 0.6437053 0.124174313  fv      Gamma        Cox, Gamma    FALSE #> 5073   318 0.8451586 0.162886989  fv      Gamma        Cox, Gamma    FALSE #> 5089   319 0.6154748 0.119202669  fv      Gamma        Cox, Gamma    FALSE #> 5105   320 0.6052390 0.117161496  fv      Gamma        Cox, Gamma    FALSE #> 5121   321 0.8562321 0.161151124  fv      Gamma        Cox, Gamma    FALSE #> 5137   322 0.5475235 0.107601448  fv      Gamma        Cox, Gamma    FALSE #> 5153   323 0.8516726 0.159610025  fv      Gamma        Cox, Gamma    FALSE #> 5169   324 0.6284455 0.122771029  fv      Gamma        Cox, Gamma    FALSE #> 5185   325 0.7340504 0.139368912  fv      Gamma        Cox, Gamma    FALSE #> 5201   326 0.7039394 0.134465568  fv      Gamma        Cox, Gamma    FALSE #> 5217   327 0.7570131 0.143284492  fv      Gamma        Cox, Gamma    FALSE #> 5233   328 1.0241436 0.191230022  fv      Gamma        Cox, Gamma     TRUE #> 5249   329 0.8762071 0.165668652  fv      Gamma        Cox, Gamma    FALSE #> 5265   330 0.6943285 0.133117878  fv      Gamma        Cox, Gamma    FALSE #> 5281   331 0.8439616 0.157763791  fv      Gamma        Cox, Gamma    FALSE #> 5297   332 0.5597510 0.110415552  fv      Gamma        Cox, Gamma    FALSE #> 5313   333 0.5408626 0.105579808  fv      Gamma        Cox, Gamma    FALSE #> 5329   334 0.9467958 0.173919137  fv      Gamma        Cox, Gamma    FALSE #> 5345   335 0.7653749 0.145590511  fv      Gamma        Cox, Gamma    FALSE #> 5361   336 0.4797265 0.096031622  fv      Gamma        Cox, Gamma    FALSE #> 5377   337 0.6413684 0.124650010  fv      Gamma        Cox, Gamma    FALSE #> 5393   338 0.6035586          NA  fv      Gamma        Cox, Gamma       NA #> 5409   339 0.8262291 0.156546194  fv      Gamma        Cox, Gamma    FALSE #> 5425   340 0.7801398 0.152957082  fv      Gamma        Cox, Gamma    FALSE #> 5441   341 0.5609456 0.109188392  fv      Gamma        Cox, Gamma    FALSE #> 5457   342 0.4505560 0.089857208  fv      Gamma        Cox, Gamma     TRUE #> 5473   343 0.6379761 0.123470515  fv      Gamma        Cox, Gamma    FALSE #> 5489   344 0.9821211 0.184488378  fv      Gamma        Cox, Gamma    FALSE #> 5505   345 0.8685154 0.163017679  fv      Gamma        Cox, Gamma    FALSE #> 5521   346 0.7913166 0.148203721  fv      Gamma        Cox, Gamma    FALSE #> 5537   347 0.7336193 0.139101579  fv      Gamma        Cox, Gamma    FALSE #> 5553   348 0.9254888 0.171694360  fv      Gamma        Cox, Gamma    FALSE #> 5569   349 0.8488816 0.159294203  fv      Gamma        Cox, Gamma    FALSE #> 5585   350 0.8160615 0.152965564  fv      Gamma        Cox, Gamma    FALSE #> 5601   351 0.8759466 0.167886380  fv      Gamma        Cox, Gamma    FALSE #> 5617   352 0.7981894 0.153964217  fv      Gamma        Cox, Gamma    FALSE #> 5633   353 0.5791672 0.113057885  fv      Gamma        Cox, Gamma    FALSE #> 5649   354 0.7416095 0.141018326  fv      Gamma        Cox, Gamma    FALSE #> 5665   355 0.8010796 0.149943272  fv      Gamma        Cox, Gamma    FALSE #> 5681   356 0.8282803 0.158193917  fv      Gamma        Cox, Gamma    FALSE #> 5697   357 0.6938562 0.132663709  fv      Gamma        Cox, Gamma    FALSE #> 5713   358 0.6402635 0.122101470  fv      Gamma        Cox, Gamma    FALSE #> 5729   359 0.6742980 0.132978427  fv      Gamma        Cox, Gamma    FALSE #> 5745   360 0.6040056 0.117051665  fv      Gamma        Cox, Gamma    FALSE #> 5761   361 0.9421937 0.178772166  fv      Gamma        Cox, Gamma    FALSE #> 5777   362 0.4601477 0.091085384  fv      Gamma        Cox, Gamma    FALSE #> 5793   363 0.7026636 0.135100787  fv      Gamma        Cox, Gamma    FALSE #> 5809   364 0.5302217 0.104442908  fv      Gamma        Cox, Gamma    FALSE #> 5825   365 0.7690703 0.150669849  fv      Gamma        Cox, Gamma    FALSE #> 5841   366 0.8267876 0.157050939  fv      Gamma        Cox, Gamma    FALSE #> 5857   367 0.8874453 0.165351401  fv      Gamma        Cox, Gamma    FALSE #> 5873   368 0.8804541 0.171672792  fv      Gamma        Cox, Gamma    FALSE #> 5889   369 0.5558909 0.108356937  fv      Gamma        Cox, Gamma    FALSE #> 5905   370 0.5224601 0.102908943  fv      Gamma        Cox, Gamma    FALSE #> 5921   371 0.8876388 0.168386174  fv      Gamma        Cox, Gamma    FALSE #> 5937   372 0.6286268 0.125304837  fv      Gamma        Cox, Gamma    FALSE #> 5953   373 0.6690070 0.127890066  fv      Gamma        Cox, Gamma    FALSE #> 5969   374 0.6330213 0.122146795  fv      Gamma        Cox, Gamma    FALSE #> 5985   375 0.6227287 0.120453980  fv      Gamma        Cox, Gamma    FALSE #> 6001   376 0.6703751 0.129140001  fv      Gamma        Cox, Gamma    FALSE #> 6017   377 0.8079140 0.155596402  fv      Gamma        Cox, Gamma    FALSE #> 6033   378 0.7798553 0.146544187  fv      Gamma        Cox, Gamma    FALSE #> 6049   379 0.6475737 0.124463927  fv      Gamma        Cox, Gamma    FALSE #> 6065   380 0.7688097 0.145489816  fv      Gamma        Cox, Gamma    FALSE #> 6081   381 0.6649357 0.128253722  fv      Gamma        Cox, Gamma    FALSE #> 6097   382 0.6807352 0.130459416  fv      Gamma        Cox, Gamma    FALSE #> 6113   383 1.0192008 0.186327756  fv      Gamma        Cox, Gamma     TRUE #> 6129   384 0.8434297 0.158539964  fv      Gamma        Cox, Gamma    FALSE #> 6145   385 0.5428752 0.106117665  fv      Gamma        Cox, Gamma    FALSE #> 6161   386 0.3967401 0.081332469  fv      Gamma        Cox, Gamma     TRUE #> 6177   387 0.5406499 0.105272643  fv      Gamma        Cox, Gamma    FALSE #> 6193   388 0.6602657 0.126552615  fv      Gamma        Cox, Gamma    FALSE #> 6209   389 0.5332555 0.104791180  fv      Gamma        Cox, Gamma    FALSE #> 6225   390 0.6045228 0.117241227  fv      Gamma        Cox, Gamma    FALSE #> 6241   391 0.4999031          NA  fv      Gamma        Cox, Gamma       NA #> 6257   392 0.9248187 0.171305899  fv      Gamma        Cox, Gamma    FALSE #> 6273   393 0.5798027 0.113219618  fv      Gamma        Cox, Gamma    FALSE #> 6289   394 0.8907170 0.167374282  fv      Gamma        Cox, Gamma    FALSE #> 6305   395 0.7016240 0.135025361  fv      Gamma        Cox, Gamma    FALSE #> 6321   396 0.7121455 0.139294610  fv      Gamma        Cox, Gamma    FALSE #> 6337   397 0.8229104 0.153784172  fv      Gamma        Cox, Gamma    FALSE #> 6353   398 0.7712521 0.146309386  fv      Gamma        Cox, Gamma    FALSE #> 6369   399 0.6190504 0.119937746  fv      Gamma        Cox, Gamma    FALSE #> 6385   400 0.6672967 0.128315064  fv      Gamma        Cox, Gamma    FALSE #> 6401   401 0.8584411 0.163304952  fv      Gamma        Cox, Gamma    FALSE #> 6417   402 0.7225680 0.141193789  fv      Gamma        Cox, Gamma    FALSE #> 6433   403 0.6821864 0.130069717  fv      Gamma        Cox, Gamma    FALSE #> 6449   404 0.8921011 0.169978122  fv      Gamma        Cox, Gamma    FALSE #> 6465   405 0.6364897 0.121986924  fv      Gamma        Cox, Gamma    FALSE #> 6481   406 0.6312721 0.122132709  fv      Gamma        Cox, Gamma    FALSE #> 6497   407 0.7537675 0.143468500  fv      Gamma        Cox, Gamma    FALSE #> 6513   408 0.4830750 0.100264446  fv      Gamma        Cox, Gamma    FALSE #> 6529   409 0.9120263 0.168875217  fv      Gamma        Cox, Gamma    FALSE #> 6545   410 0.9317740 0.176472419  fv      Gamma        Cox, Gamma    FALSE #> 6561   411 0.7853073 0.155061040  fv      Gamma        Cox, Gamma    FALSE #> 6577   412 0.6760708 0.129238258  fv      Gamma        Cox, Gamma    FALSE #> 6593   413 0.7106746          NA  fv      Gamma        Cox, Gamma       NA #> 6609   414 0.7126918 0.136010675  fv      Gamma        Cox, Gamma    FALSE #> 6625   415 0.8278815 0.154436751  fv      Gamma        Cox, Gamma    FALSE #> 6641   416 0.6144755 0.118999790  fv      Gamma        Cox, Gamma    FALSE #> 6657   417 0.7064656 0.134614387  fv      Gamma        Cox, Gamma    FALSE #> 6673   418 0.7280710 0.138588048  fv      Gamma        Cox, Gamma    FALSE #> 6689   419 0.5977421 0.117049099  fv      Gamma        Cox, Gamma    FALSE #> 6705   420 0.7984141 0.153630576  fv      Gamma        Cox, Gamma    FALSE #> 6721   421 0.7789264 0.146973632  fv      Gamma        Cox, Gamma    FALSE #> 6737   422 0.7189249 0.136830403  fv      Gamma        Cox, Gamma    FALSE #> 6753   423 0.7767172 0.146505554  fv      Gamma        Cox, Gamma    FALSE #> 6769   424 0.6711159 0.129971477  fv      Gamma        Cox, Gamma    FALSE #> 6785   425 0.5421033 0.106506310  fv      Gamma        Cox, Gamma    FALSE #> 6801   426 0.9738877 0.180388841  fv      Gamma        Cox, Gamma    FALSE #> 6817   427 0.4334204 0.087612339  fv      Gamma        Cox, Gamma     TRUE #> 6833   428 0.9192375 0.174367363  fv      Gamma        Cox, Gamma    FALSE #> 6849   429 0.6307533 0.121860719  fv      Gamma        Cox, Gamma    FALSE #> 6865   430 0.5862901 0.113931845  fv      Gamma        Cox, Gamma    FALSE #> 6881   431 0.8326353 0.156104642  fv      Gamma        Cox, Gamma    FALSE #> 6897   432 0.5651382 0.111271681  fv      Gamma        Cox, Gamma    FALSE #> 6913   433 0.7605602 0.146061740  fv      Gamma        Cox, Gamma    FALSE #> 6929   434 0.9151370 0.168917938  fv      Gamma        Cox, Gamma    FALSE #> 6945   435 0.6420012 0.123004617  fv      Gamma        Cox, Gamma    FALSE #> 6961   436 0.8857909 0.167510125  fv      Gamma        Cox, Gamma    FALSE #> 6977   437 0.6462434 0.124127766  fv      Gamma        Cox, Gamma    FALSE #> 6993   438 0.4972460 0.098754303  fv      Gamma        Cox, Gamma    FALSE #> 7009   439 0.6779588 0.130863527  fv      Gamma        Cox, Gamma    FALSE #> 7025   440 0.6825645 0.130306052  fv      Gamma        Cox, Gamma    FALSE #> 7041   441 0.4502677 0.089999523  fv      Gamma        Cox, Gamma     TRUE #> 7057   442 0.8187358 0.153159795  fv      Gamma        Cox, Gamma    FALSE #> 7073   443 0.4864113 0.097415951  fv      Gamma        Cox, Gamma    FALSE #> 7089   444 0.6307093          NA  fv      Gamma        Cox, Gamma       NA #> 7105   445 0.8960691 0.172700705  fv      Gamma        Cox, Gamma    FALSE #> 7121   446 0.7375956 0.139800669  fv      Gamma        Cox, Gamma    FALSE #> 7137   447 0.7060355 0.134536437  fv      Gamma        Cox, Gamma    FALSE #> 7153   448 0.7606137 0.144593023  fv      Gamma        Cox, Gamma    FALSE #> 7169   449 0.8188267 0.152908387  fv      Gamma        Cox, Gamma    FALSE #> 7185   450 0.6649946 0.127035238  fv      Gamma        Cox, Gamma    FALSE #> 7201   451 0.7889763 0.148648185  fv      Gamma        Cox, Gamma    FALSE #> 7217   452 0.5385995 0.106107012  fv      Gamma        Cox, Gamma    FALSE #> 7233   453 0.7976309 0.149294907  fv      Gamma        Cox, Gamma    FALSE #> 7249   454 0.6812803 0.133807496  fv      Gamma        Cox, Gamma    FALSE #> 7265   455 0.7853285 0.148442373  fv      Gamma        Cox, Gamma    FALSE #> 7281   456 0.8013663 0.150752027  fv      Gamma        Cox, Gamma    FALSE #> 7297   457 0.7567226 0.143306581  fv      Gamma        Cox, Gamma    FALSE #> 7313   458 0.8390265 0.158325038  fv      Gamma        Cox, Gamma    FALSE #> 7329   459 0.6846816 0.131871936  fv      Gamma        Cox, Gamma    FALSE #> 7345   460 0.5993262          NA  fv      Gamma        Cox, Gamma       NA #> 7361   461 0.7089733 0.135818026  fv      Gamma        Cox, Gamma    FALSE #> 7377   462 0.9322032 0.176108434  fv      Gamma        Cox, Gamma    FALSE #> 7393   463 0.5899818 0.113578435  fv      Gamma        Cox, Gamma    FALSE #> 7409   464 0.5457337 0.107935854  fv      Gamma        Cox, Gamma    FALSE #> 7425   465 0.6924278 0.131950434  fv      Gamma        Cox, Gamma    FALSE #> 7441   466 0.8586186 0.164067739  fv      Gamma        Cox, Gamma    FALSE #> 7457   467 0.8607295 0.162516222  fv      Gamma        Cox, Gamma    FALSE #> 7473   468 0.5840632 0.113431719  fv      Gamma        Cox, Gamma    FALSE #> 7489   469 0.7721755 0.148974573  fv      Gamma        Cox, Gamma    FALSE #> 7505   470 0.7864966 0.147551158  fv      Gamma        Cox, Gamma    FALSE #> 7521   471 0.6014325 0.116605603  fv      Gamma        Cox, Gamma    FALSE #> 7537   472 0.7782183 0.146490838  fv      Gamma        Cox, Gamma    FALSE #> 7553   473 0.6782043 0.129840010  fv      Gamma        Cox, Gamma    FALSE #> 7569   474 0.6246471 0.122746003  fv      Gamma        Cox, Gamma    FALSE #> 7585   475 1.1066875 0.208302683  fv      Gamma        Cox, Gamma     TRUE #> 7601   476 0.5556522 0.108984002  fv      Gamma        Cox, Gamma    FALSE #> 7617   477 0.8566296 0.159877492  fv      Gamma        Cox, Gamma    FALSE #> 7633   478 0.6815679 0.131090134  fv      Gamma        Cox, Gamma    FALSE #> 7649   479 0.8652759 0.161735280  fv      Gamma        Cox, Gamma    FALSE #> 7665   480 0.7542582 0.144197098  fv      Gamma        Cox, Gamma    FALSE #> 7681   481 0.6792317 0.131026222  fv      Gamma        Cox, Gamma    FALSE #> 7697   482 0.6255814 0.124083667  fv      Gamma        Cox, Gamma    FALSE #> 7713   483 0.6524135 0.127114059  fv      Gamma        Cox, Gamma    FALSE #> 7729   484 0.7084909 0.134146311  fv      Gamma        Cox, Gamma    FALSE #> 7745   485 0.7116749 0.135010465  fv      Gamma        Cox, Gamma    FALSE #> 7761   486 0.5675852 0.111128327  fv      Gamma        Cox, Gamma    FALSE #> 7777   487 0.8227084 0.154214426  fv      Gamma        Cox, Gamma    FALSE #> 7793   488 0.6805839 0.132475141  fv      Gamma        Cox, Gamma    FALSE #> 7809   489 0.8828861 0.168922643  fv      Gamma        Cox, Gamma    FALSE #> 7825   490 1.0616372 0.193890898  fv      Gamma        Cox, Gamma     TRUE #> 7841   491 0.6822397 0.130612568  fv      Gamma        Cox, Gamma    FALSE #> 7857   492 0.8222004 0.155512481  fv      Gamma        Cox, Gamma    FALSE #> 7873   493 0.7750104 0.151083906  fv      Gamma        Cox, Gamma    FALSE #> 7889   494 0.7222312 0.137802429  fv      Gamma        Cox, Gamma    FALSE #> 7905   495 0.7690374 0.146304536  fv      Gamma        Cox, Gamma    FALSE #> 7921   496 0.5161178 0.102242565  fv      Gamma        Cox, Gamma    FALSE #> 7937   497 0.6616442 0.126467428  fv      Gamma        Cox, Gamma    FALSE #> 7953   498 0.6310750 0.122098317  fv      Gamma        Cox, Gamma    FALSE #> 7969   499 0.9368503 0.175074305  fv      Gamma        Cox, Gamma    FALSE #> 7985   500 0.8980660 0.169636790  fv      Gamma        Cox, Gamma    FALSE #> 8001   501 0.6945294 0.132580566  fv      Gamma        Cox, Gamma    FALSE #> 8017   502 0.7586970 0.143861263  fv      Gamma        Cox, Gamma    FALSE #> 8033   503 0.6796761 0.130505602  fv      Gamma        Cox, Gamma    FALSE #> 8049   504 0.8750771 0.162492220  fv      Gamma        Cox, Gamma    FALSE #> 8065   505 0.9242294 0.173034278  fv      Gamma        Cox, Gamma    FALSE #> 8081   506 0.6642908 0.127078492  fv      Gamma        Cox, Gamma    FALSE #> 8097   507 0.6220734 0.120661088  fv      Gamma        Cox, Gamma    FALSE #> 8113   508 0.6638922 0.127459533  fv      Gamma        Cox, Gamma    FALSE #> 8129   509 0.7011241 0.133602323  fv      Gamma        Cox, Gamma    FALSE #> 8145   510 0.9146957 0.169745733  fv      Gamma        Cox, Gamma    FALSE #> 8161   511 0.7417783 0.141579855  fv      Gamma        Cox, Gamma    FALSE #> 8177   512 0.8087679 0.152328374  fv      Gamma        Cox, Gamma    FALSE #> 8193   513 0.5954906 0.116001360  fv      Gamma        Cox, Gamma    FALSE #> 8209   514 0.6569979 0.126927260  fv      Gamma        Cox, Gamma    FALSE #> 8225   515 0.6212970 0.120107176  fv      Gamma        Cox, Gamma    FALSE #> 8241   516 0.7542450 0.144369845  fv      Gamma        Cox, Gamma    FALSE #> 8257   517 0.7857159 0.148313320  fv      Gamma        Cox, Gamma    FALSE #> 8273   518 0.8537068 0.158622013  fv      Gamma        Cox, Gamma    FALSE #> 8289   519 0.7034337 0.134310592  fv      Gamma        Cox, Gamma    FALSE #> 8305   520 0.6197376 0.119943182  fv      Gamma        Cox, Gamma    FALSE #> 8321   521 0.5610014 0.109140591  fv      Gamma        Cox, Gamma    FALSE #> 8337   522 0.5438508 0.106296184  fv      Gamma        Cox, Gamma    FALSE #> 8353   523 0.6698531 0.129490382  fv      Gamma        Cox, Gamma    FALSE #> 8369   524 0.6020242 0.117226384  fv      Gamma        Cox, Gamma    FALSE #> 8385   525 1.0516324 0.192496879  fv      Gamma        Cox, Gamma     TRUE #> 8401   526 0.7609652 0.144096404  fv      Gamma        Cox, Gamma    FALSE #> 8417   527 0.6881981 0.133087351  fv      Gamma        Cox, Gamma    FALSE #> 8433   528 0.6054273 0.117775780  fv      Gamma        Cox, Gamma    FALSE #> 8449   529 0.8516933 0.159701160  fv      Gamma        Cox, Gamma    FALSE #> 8465   530 0.8926019 0.166575907  fv      Gamma        Cox, Gamma    FALSE #> 8481   531 0.7916298 0.148159862  fv      Gamma        Cox, Gamma    FALSE #> 8497   532 0.7897519 0.149192705  fv      Gamma        Cox, Gamma    FALSE #> 8513   533 0.7284274 0.138699326  fv      Gamma        Cox, Gamma    FALSE #> 8529   534 0.7790291 0.146354155  fv      Gamma        Cox, Gamma    FALSE #> 8545   535 0.9538809 0.176303899  fv      Gamma        Cox, Gamma    FALSE #> 8561   536 0.8270741 0.154370683  fv      Gamma        Cox, Gamma    FALSE #> 8577   537 0.7138513 0.139534596  fv      Gamma        Cox, Gamma    FALSE #> 8593   538 0.6246478          NA  fv      Gamma        Cox, Gamma       NA #> 8609   539 0.8627532 0.161183355  fv      Gamma        Cox, Gamma    FALSE #> 8625   540 0.7660902 0.149389899  fv      Gamma        Cox, Gamma    FALSE #> 8641   541 0.6295377 0.122597777  fv      Gamma        Cox, Gamma    FALSE #> 8657   542 0.8369873 0.157179557  fv      Gamma        Cox, Gamma    FALSE #> 8673   543 0.9027111 0.167848994  fv      Gamma        Cox, Gamma    FALSE #> 8689   544 0.8231412 0.154281762  fv      Gamma        Cox, Gamma    FALSE #> 8705   545 0.6971651 0.133999902  fv      Gamma        Cox, Gamma    FALSE #> 8721   546 0.6917187 0.132692058  fv      Gamma        Cox, Gamma    FALSE #> 8737   547 0.6612332 0.126891190  fv      Gamma        Cox, Gamma    FALSE #> 8753   548 0.6319194 0.006583581  fv      Gamma        Cox, Gamma     TRUE #> 8769   549 0.8020343 0.153784386  fv      Gamma        Cox, Gamma    FALSE #> 8785   550 0.8857710 0.173416696  fv      Gamma        Cox, Gamma    FALSE #> 8801   551 0.7206925 0.137282217  fv      Gamma        Cox, Gamma    FALSE #> 8817   552 0.5655243 0.111609299  fv      Gamma        Cox, Gamma    FALSE #> 8833   553 0.5894449 0.115099271  fv      Gamma        Cox, Gamma    FALSE #> 8849   554 0.6799194 0.131022822  fv      Gamma        Cox, Gamma    FALSE #> 8865   555 0.5942723 0.116121667  fv      Gamma        Cox, Gamma    FALSE #> 8881   556 0.5409466 0.106333958  fv      Gamma        Cox, Gamma    FALSE #> 8897   557 1.1276785 0.208600321  fv      Gamma        Cox, Gamma     TRUE #> 8913   558 0.8056241 0.152243016  fv      Gamma        Cox, Gamma    FALSE #> 8929   559 0.6165829 0.122550777  fv      Gamma        Cox, Gamma    FALSE #> 8945   560 0.7506013 0.143366986  fv      Gamma        Cox, Gamma    FALSE #> 8961   561 0.7560469 0.142619604  fv      Gamma        Cox, Gamma    FALSE #> 8977   562 0.4475603 0.089294336  fv      Gamma        Cox, Gamma     TRUE #> 8993   563 0.7697251 0.146259739  fv      Gamma        Cox, Gamma    FALSE #> 9009   564 0.7596255 0.143001550  fv      Gamma        Cox, Gamma    FALSE #> 9025   565 0.8209886 0.158901699  fv      Gamma        Cox, Gamma    FALSE #> 9041   566 0.8540708 0.160172577  fv      Gamma        Cox, Gamma    FALSE #> 9057   567 0.7239583 0.138160326  fv      Gamma        Cox, Gamma    FALSE #> 9073   568 0.7918967 0.152246336  fv      Gamma        Cox, Gamma    FALSE #> 9089   569 0.6846417 0.132938759  fv      Gamma        Cox, Gamma    FALSE #> 9105   570 0.7180058 0.136793903  fv      Gamma        Cox, Gamma    FALSE #> 9121   571 0.7534625 0.142541419  fv      Gamma        Cox, Gamma    FALSE #> 9137   572 0.8277711 0.154274630  fv      Gamma        Cox, Gamma    FALSE #> 9153   573 0.5338253 0.105713447  fv      Gamma        Cox, Gamma    FALSE #> 9169   574 0.8516856 0.162398703  fv      Gamma        Cox, Gamma    FALSE #> 9185   575 0.7042959 0.134581473  fv      Gamma        Cox, Gamma    FALSE #> 9201   576 0.7417747 0.142360056  fv      Gamma        Cox, Gamma    FALSE #> 9217   577 0.6314368 0.122446267  fv      Gamma        Cox, Gamma    FALSE #> 9233   578 0.6519440 0.125000623  fv      Gamma        Cox, Gamma    FALSE #> 9249   579 0.6465344          NA  fv      Gamma        Cox, Gamma       NA #> 9265   580 0.6101363 0.117780410  fv      Gamma        Cox, Gamma    FALSE #> 9281   581 0.8567743 0.159745166  fv      Gamma        Cox, Gamma    FALSE #> 9297   582 0.4249017 0.084684463  fv      Gamma        Cox, Gamma     TRUE #> 9313   583 0.7812605 0.147186401  fv      Gamma        Cox, Gamma    FALSE #> 9329   584 0.6289872          NA  fv      Gamma        Cox, Gamma       NA #> 9345   585 1.1129083 0.202616476  fv      Gamma        Cox, Gamma     TRUE #> 9361   586 1.0020180 0.183131340  fv      Gamma        Cox, Gamma    FALSE #> 9377   587 0.7823646 0.147627151  fv      Gamma        Cox, Gamma    FALSE #> 9393   588 0.7965984 0.151873142  fv      Gamma        Cox, Gamma    FALSE #> 9409   589 0.5848703 0.113875946  fv      Gamma        Cox, Gamma    FALSE #> 9425   590 0.6723444 0.129201859  fv      Gamma        Cox, Gamma    FALSE #> 9441   591 0.7146685 0.136960728  fv      Gamma        Cox, Gamma    FALSE #> 9457   592 0.8875873 0.165449957  fv      Gamma        Cox, Gamma    FALSE #> 9473   593 0.6956131 0.136694985  fv      Gamma        Cox, Gamma    FALSE #> 9489   594 0.7214667 0.138957335  fv      Gamma        Cox, Gamma    FALSE #> 9505   595 0.7101161 0.135025353  fv      Gamma        Cox, Gamma    FALSE #> 9521   596 0.8418777 0.157263827  fv      Gamma        Cox, Gamma    FALSE #> 9537   597 0.9729782 0.183742916  fv      Gamma        Cox, Gamma    FALSE #> 9553   598 0.7302043 0.138489839  fv      Gamma        Cox, Gamma    FALSE #> 9569   599 1.0924857 0.198613543  fv      Gamma        Cox, Gamma     TRUE #> 9585   600 0.9354165 0.172435311  fv      Gamma        Cox, Gamma    FALSE #> 9601   601 0.6883910 0.131587270  fv      Gamma        Cox, Gamma    FALSE #> 9617   602 0.8070003 0.154414727  fv      Gamma        Cox, Gamma    FALSE #> 9633   603 0.6856989 0.130901389  fv      Gamma        Cox, Gamma    FALSE #> 9649   604 0.8376770 0.164630472  fv      Gamma        Cox, Gamma    FALSE #> 9665   605 0.8981670 0.170534144  fv      Gamma        Cox, Gamma    FALSE #> 9681   606 0.7882221 0.148789284  fv      Gamma        Cox, Gamma    FALSE #> 9697   607 0.6476463 0.125475048  fv      Gamma        Cox, Gamma    FALSE #> 9713   608 0.8155224 0.153555972  fv      Gamma        Cox, Gamma    FALSE #> 9729   609 0.8892325 0.166132966  fv      Gamma        Cox, Gamma    FALSE #> 9745   610 0.7927409 0.149226966  fv      Gamma        Cox, Gamma    FALSE #> 9761   611 0.6492237 0.125252832  fv      Gamma        Cox, Gamma    FALSE #> 9777   612 0.8847558 0.164946654  fv      Gamma        Cox, Gamma    FALSE #> 9793   613 0.7555553 0.143065459  fv      Gamma        Cox, Gamma    FALSE #> 9809   614 0.6999420 0.133898539  fv      Gamma        Cox, Gamma    FALSE #> 9825   615 0.6323970 0.121998668  fv      Gamma        Cox, Gamma    FALSE #> 9841   616 0.9258004 0.171970867  fv      Gamma        Cox, Gamma    FALSE #> 9857   617 0.9810413 0.184675944  fv      Gamma        Cox, Gamma    FALSE #> 9873   618 0.5773346 0.112316606  fv      Gamma        Cox, Gamma    FALSE #> 9889   619 0.6347891 0.122523189  fv      Gamma        Cox, Gamma    FALSE #> 9905   620 0.6827832 0.131100442  fv      Gamma        Cox, Gamma    FALSE #> 9921   621 0.7975355 0.150353049  fv      Gamma        Cox, Gamma    FALSE #> 9937   622 1.1223277 0.204313520  fv      Gamma        Cox, Gamma     TRUE #> 9953   623 0.5579222 0.108700678  fv      Gamma        Cox, Gamma    FALSE #> 9969   624 0.7128043 0.135198610  fv      Gamma        Cox, Gamma    FALSE #> 9985   625 0.6645098 0.127866473  fv      Gamma        Cox, Gamma    FALSE #> 10001  626 0.5434477 0.107111683  fv      Gamma        Cox, Gamma    FALSE #> 10017  627 0.6384977 0.127531672  fv      Gamma        Cox, Gamma    FALSE #> 10033  628 0.7155575 0.135607273  fv      Gamma        Cox, Gamma    FALSE #> 10049  629 0.5743986 0.113030438  fv      Gamma        Cox, Gamma    FALSE #> 10065  630 0.9263040 0.171879492  fv      Gamma        Cox, Gamma    FALSE #> 10081  631 0.8454909 0.163553297  fv      Gamma        Cox, Gamma    FALSE #> 10097  632 0.5915189 0.115112532  fv      Gamma        Cox, Gamma    FALSE #> 10113  633 0.5378909 0.105342707  fv      Gamma        Cox, Gamma    FALSE #> 10129  634 0.5606903 0.109482541  fv      Gamma        Cox, Gamma    FALSE #> 10145  635 0.4726450 0.094667526  fv      Gamma        Cox, Gamma    FALSE #> 10161  636 0.6834728 0.132595448  fv      Gamma        Cox, Gamma    FALSE #> 10177  637 0.7517155 0.142228970  fv      Gamma        Cox, Gamma    FALSE #> 10193  638 0.6135361 0.122501483  fv      Gamma        Cox, Gamma    FALSE #> 10209  639 0.7014499 0.133681174  fv      Gamma        Cox, Gamma    FALSE #> 10225  640 0.6128640          NA  fv      Gamma        Cox, Gamma       NA #> 10241  641 0.6673911 0.127458375  fv      Gamma        Cox, Gamma    FALSE #> 10257  642 0.6815744 0.131201354  fv      Gamma        Cox, Gamma    FALSE #> 10273  643 0.6395380 0.123473684  fv      Gamma        Cox, Gamma    FALSE #> 10289  644 0.9281496 0.178044104  fv      Gamma        Cox, Gamma    FALSE #> 10305  645 0.5058058 0.099576567  fv      Gamma        Cox, Gamma    FALSE #> 10321  646 0.5752018 0.112537616  fv      Gamma        Cox, Gamma    FALSE #> 10337  647 1.0966623 0.201529503  fv      Gamma        Cox, Gamma     TRUE #> 10353  648 0.7244534 0.137071261  fv      Gamma        Cox, Gamma    FALSE #> 10369  649 0.8332207 0.156331374  fv      Gamma        Cox, Gamma    FALSE #> 10385  650 0.9649527 0.179069982  fv      Gamma        Cox, Gamma    FALSE #> 10401  651 0.9464873 0.175101726  fv      Gamma        Cox, Gamma    FALSE #> 10417  652 0.7609635 0.144258476  fv      Gamma        Cox, Gamma    FALSE #> 10433  653 0.9382049 0.177882581  fv      Gamma        Cox, Gamma    FALSE #> 10449  654 0.6062464 0.117645954  fv      Gamma        Cox, Gamma    FALSE #> 10465  655 0.6767305 0.129314528  fv      Gamma        Cox, Gamma    FALSE #> 10481  656 0.7862486 0.148608077  fv      Gamma        Cox, Gamma    FALSE #> 10497  657 0.7137173 0.136369085  fv      Gamma        Cox, Gamma    FALSE #> 10513  658 0.8178731 0.154550758  fv      Gamma        Cox, Gamma    FALSE #> 10529  659 0.8561291 0.161265853  fv      Gamma        Cox, Gamma    FALSE #> 10545  660 0.7951042 0.153064842  fv      Gamma        Cox, Gamma    FALSE #> 10561  661 0.5838602 0.113215726  fv      Gamma        Cox, Gamma    FALSE #> 10577  662 0.4485783 0.089198580  fv      Gamma        Cox, Gamma     TRUE #> 10593  663 0.6581613          NA  fv      Gamma        Cox, Gamma       NA #> 10609  664 0.7241489 0.137001157  fv      Gamma        Cox, Gamma    FALSE #> 10625  665 0.6926612 0.133197792  fv      Gamma        Cox, Gamma    FALSE #> 10641  666 0.6778013 0.132901048  fv      Gamma        Cox, Gamma    FALSE #> 10657  667 0.8867749 0.168166698  fv      Gamma        Cox, Gamma    FALSE #> 10673  668 0.8301043 0.158911230  fv      Gamma        Cox, Gamma    FALSE #> 10689  669 0.5407391 0.106146295  fv      Gamma        Cox, Gamma    FALSE #> 10705  670 0.8485756 0.162192318  fv      Gamma        Cox, Gamma    FALSE #> 10721  671 0.8766589 0.163763076  fv      Gamma        Cox, Gamma    FALSE #> 10737  672 0.6153715          NA  fv      Gamma        Cox, Gamma       NA #> 10753  673 0.6107089 0.117370604  fv      Gamma        Cox, Gamma    FALSE #> 10769  674 0.9545713 0.180865051  fv      Gamma        Cox, Gamma    FALSE #> 10785  675 0.6959295 0.132291736  fv      Gamma        Cox, Gamma    FALSE #> 10801  676 0.5082065 0.102830300  fv      Gamma        Cox, Gamma    FALSE #> 10817  677 0.6335714 0.121472662  fv      Gamma        Cox, Gamma    FALSE #> 10833  678 0.8358190 0.157360400  fv      Gamma        Cox, Gamma    FALSE #> 10849  679 0.9489850 0.175902516  fv      Gamma        Cox, Gamma    FALSE #> 10865  680 0.6831995 0.135084593  fv      Gamma        Cox, Gamma    FALSE #> 10881  681 0.5643254 0.110253548  fv      Gamma        Cox, Gamma    FALSE #> 10897  682 0.7617965 0.143922368  fv      Gamma        Cox, Gamma    FALSE #> 10913  683 0.8612983 0.164005648  fv      Gamma        Cox, Gamma    FALSE #> 10929  684 0.9306887 0.172309343  fv      Gamma        Cox, Gamma    FALSE #> 10945  685 0.6426137 0.123487366  fv      Gamma        Cox, Gamma    FALSE #> 10961  686 0.5504300 0.108056938  fv      Gamma        Cox, Gamma    FALSE #> 10977  687 1.0715471 0.195861853  fv      Gamma        Cox, Gamma     TRUE #> 10993  688 0.7247087 0.137711351  fv      Gamma        Cox, Gamma    FALSE #> 11009  689 0.7044312 0.134177121  fv      Gamma        Cox, Gamma    FALSE #> 11025  690 0.9424856 0.173674021  fv      Gamma        Cox, Gamma    FALSE #> 11041  691 0.7890166 0.149550201  fv      Gamma        Cox, Gamma    FALSE #> 11057  692 0.7272266 0.137587457  fv      Gamma        Cox, Gamma    FALSE #> 11073  693 0.8573916 0.162747887  fv      Gamma        Cox, Gamma    FALSE #> 11089  694 0.8534868 0.161603640  fv      Gamma        Cox, Gamma    FALSE #> 11105  695 0.7322424 0.142478400  fv      Gamma        Cox, Gamma    FALSE #> 11121  696 0.7257254 0.140591529  fv      Gamma        Cox, Gamma    FALSE #> 11137  697 0.7333151 0.139148123  fv      Gamma        Cox, Gamma    FALSE #> 11153  698 0.7079694 0.135061149  fv      Gamma        Cox, Gamma    FALSE #> 11169  699 0.7213398 0.136395589  fv      Gamma        Cox, Gamma    FALSE #> 11185  700 1.1804472 0.212933204  fv      Gamma        Cox, Gamma     TRUE #> 11201  701 0.6387989 0.122746463  fv      Gamma        Cox, Gamma    FALSE #> 11217  702 0.7190115 0.141352091  fv      Gamma        Cox, Gamma    FALSE #> 11233  703 0.5731256 0.112207992  fv      Gamma        Cox, Gamma    FALSE #> 11249  704 0.9037123 0.167031332  fv      Gamma        Cox, Gamma    FALSE #> 11265  705 0.9728518 0.179527679  fv      Gamma        Cox, Gamma    FALSE #> 11281  706 0.7500375 0.141850521  fv      Gamma        Cox, Gamma    FALSE #> 11297  707 0.5756002 0.113226216  fv      Gamma        Cox, Gamma    FALSE #> 11313  708 0.8181883 0.157337000  fv      Gamma        Cox, Gamma    FALSE #> 11329  709 0.7474298 0.141423613  fv      Gamma        Cox, Gamma    FALSE #> 11345  710 0.7454622 0.140549261  fv      Gamma        Cox, Gamma    FALSE #> 11361  711 0.3894059 0.079382350  fv      Gamma        Cox, Gamma     TRUE #> 11377  712 0.7212272 0.137524828  fv      Gamma        Cox, Gamma    FALSE #> 11393  713 0.7565196 0.142332022  fv      Gamma        Cox, Gamma    FALSE #> 11409  714 0.8595678 0.164830902  fv      Gamma        Cox, Gamma    FALSE #> 11425  715 0.9462299 0.175784475  fv      Gamma        Cox, Gamma    FALSE #> 11441  716 0.8149458 0.154563840  fv      Gamma        Cox, Gamma    FALSE #> 11457  717 0.6258843 0.125296314  fv      Gamma        Cox, Gamma    FALSE #> 11473  718 0.7241018 0.138809353  fv      Gamma        Cox, Gamma    FALSE #> 11489  719 0.6472919 0.124029879  fv      Gamma        Cox, Gamma    FALSE #> 11505  720 0.6462965 0.124507001  fv      Gamma        Cox, Gamma    FALSE #> 11521  721 0.8668431 0.163374189  fv      Gamma        Cox, Gamma    FALSE #> 11537  722 0.8751804 0.163803285  fv      Gamma        Cox, Gamma    FALSE #> 11553  723 0.7688477 0.148856537  fv      Gamma        Cox, Gamma    FALSE #> 11569  724 0.6330552 0.122262688  fv      Gamma        Cox, Gamma    FALSE #> 11585  725 0.6439821 0.123472393  fv      Gamma        Cox, Gamma    FALSE #> 11601  726 0.6382621 0.124017757  fv      Gamma        Cox, Gamma    FALSE #> 11617  727 0.8274516 0.157670945  fv      Gamma        Cox, Gamma    FALSE #> 11633  728 0.5470298 0.110455707  fv      Gamma        Cox, Gamma    FALSE #> 11649  729 0.7934510 0.149151202  fv      Gamma        Cox, Gamma    FALSE #> 11665  730 0.9028028 0.172657452  fv      Gamma        Cox, Gamma    FALSE #> 11681  731 0.9106973 0.169985677  fv      Gamma        Cox, Gamma    FALSE #> 11697  732 0.8609186 0.159667483  fv      Gamma        Cox, Gamma    FALSE #> 11713  733 0.5696342 0.111161534  fv      Gamma        Cox, Gamma    FALSE #> 11729  734 0.5714461 0.111644351  fv      Gamma        Cox, Gamma    FALSE #> 11745  735 0.7858057 0.147794812  fv      Gamma        Cox, Gamma    FALSE #> 11761  736 0.8311006 0.159563715  fv      Gamma        Cox, Gamma    FALSE #> 11777  737 0.7011583 0.133559009  fv      Gamma        Cox, Gamma    FALSE #> 11793  738 0.6425217 0.129359897  fv      Gamma        Cox, Gamma    FALSE #> 11809  739 0.6952162 0.132859258  fv      Gamma        Cox, Gamma    FALSE #> 11825  740 0.6816161 0.130493619  fv      Gamma        Cox, Gamma    FALSE #> 11841  741 0.7984124 0.151405815  fv      Gamma        Cox, Gamma    FALSE #> 11857  742 0.6113573 0.118351933  fv      Gamma        Cox, Gamma    FALSE #> 11873  743 0.7768640 0.146725181  fv      Gamma        Cox, Gamma    FALSE #> 11889  744 1.0010037 0.187976904  fv      Gamma        Cox, Gamma    FALSE #> 11905  745 0.6369326 0.124638617  fv      Gamma        Cox, Gamma    FALSE #> 11921  746 0.4547392 0.090878742  fv      Gamma        Cox, Gamma    FALSE #> 11937  747 0.6243564          NA  fv      Gamma        Cox, Gamma       NA #> 11953  748 0.8321617 0.155213104  fv      Gamma        Cox, Gamma    FALSE #> 11969  749 0.6214388 0.120268760  fv      Gamma        Cox, Gamma    FALSE #> 11985  750 0.5547780 0.108170284  fv      Gamma        Cox, Gamma    FALSE #> 12001  751 0.9029269 0.167251872  fv      Gamma        Cox, Gamma    FALSE #> 12017  752 0.8158367 0.153701903  fv      Gamma        Cox, Gamma    FALSE #> 12033  753 0.6268532 0.122830159  fv      Gamma        Cox, Gamma    FALSE #> 12049  754 0.7604952 0.143957643  fv      Gamma        Cox, Gamma    FALSE #> 12065  755 0.7755205 0.146754514  fv      Gamma        Cox, Gamma    FALSE #> 12081  756 1.1338308 0.205371520  fv      Gamma        Cox, Gamma     TRUE #> 12097  757 0.6141619 0.119190168  fv      Gamma        Cox, Gamma    FALSE #> 12113  758 0.5421448 0.106441629  fv      Gamma        Cox, Gamma    FALSE #> 12129  759 0.6135692 0.118641503  fv      Gamma        Cox, Gamma    FALSE #> 12145  760 0.6039901          NA  fv      Gamma        Cox, Gamma       NA #> 12161  761 0.7675576 0.146194900  fv      Gamma        Cox, Gamma    FALSE #> 12177  762 0.6497935 0.124892235  fv      Gamma        Cox, Gamma    FALSE #> 12193  763 0.6141013 0.119005700  fv      Gamma        Cox, Gamma    FALSE #> 12209  764 0.7138323 0.136853512  fv      Gamma        Cox, Gamma    FALSE #> 12225  765 0.6968334 0.134411196  fv      Gamma        Cox, Gamma    FALSE #> 12241  766 0.5653622 0.110834209  fv      Gamma        Cox, Gamma    FALSE #> 12257  767 0.7773964 0.147674261  fv      Gamma        Cox, Gamma    FALSE #> 12273  768 0.7275932 0.138104443  fv      Gamma        Cox, Gamma    FALSE #> 12289  769 0.8012518 0.150258739  fv      Gamma        Cox, Gamma    FALSE #> 12305  770 0.5881467 0.115918836  fv      Gamma        Cox, Gamma    FALSE #> 12321  771 0.5582652 0.109204974  fv      Gamma        Cox, Gamma    FALSE #> 12337  772 0.8615970 0.165608183  fv      Gamma        Cox, Gamma    FALSE #> 12353  773 0.6832303 0.131879273  fv      Gamma        Cox, Gamma    FALSE #> 12369  774 0.7392229 0.139984302  fv      Gamma        Cox, Gamma    FALSE #> 12385  775 0.9718989 0.182805349  fv      Gamma        Cox, Gamma    FALSE #> 12401  776 0.7453084 0.140746137  fv      Gamma        Cox, Gamma    FALSE #> 12417  777 0.6330554 0.122393589  fv      Gamma        Cox, Gamma    FALSE #> 12433  778 0.7985011 0.151646980  fv      Gamma        Cox, Gamma    FALSE #> 12449  779 0.8074756 0.152531003  fv      Gamma        Cox, Gamma    FALSE #> 12465  780 0.8180757 0.154987196  fv      Gamma        Cox, Gamma    FALSE #> 12481  781 0.6082118 0.119222818  fv      Gamma        Cox, Gamma    FALSE #> 12497  782 0.6587172 0.131465834  fv      Gamma        Cox, Gamma    FALSE #> 12513  783 0.7736700 0.145777095  fv      Gamma        Cox, Gamma    FALSE #> 12529  784 0.6471594 0.123949451  fv      Gamma        Cox, Gamma    FALSE #> 12545  785 0.6391755 0.122834514  fv      Gamma        Cox, Gamma    FALSE #> 12561  786 0.9004978 0.168639083  fv      Gamma        Cox, Gamma    FALSE #> 12577  787 0.8098357 0.157221614  fv      Gamma        Cox, Gamma    FALSE #> 12593  788 0.7364478 0.140602985  fv      Gamma        Cox, Gamma    FALSE #> 12609  789 0.8480764 0.161362989  fv      Gamma        Cox, Gamma    FALSE #> 12625  790 0.9009634 0.172274725  fv      Gamma        Cox, Gamma    FALSE #> 12641  791 0.9429739 0.177975160  fv      Gamma        Cox, Gamma    FALSE #> 12657  792 0.9334192 0.173662065  fv      Gamma        Cox, Gamma    FALSE #> 12673  793 0.6720125 0.128866983  fv      Gamma        Cox, Gamma    FALSE #> 12689  794 0.3839860 0.077645568  fv      Gamma        Cox, Gamma     TRUE #> 12705  795 0.6986569 0.134254162  fv      Gamma        Cox, Gamma    FALSE #> 12721  796 0.7909092 0.149755855  fv      Gamma        Cox, Gamma    FALSE #> 12737  797 0.6261971 0.121737443  fv      Gamma        Cox, Gamma    FALSE #> 12753  798 0.5844054 0.114012882  fv      Gamma        Cox, Gamma    FALSE #> 12769  799 0.9180832 0.177794269  fv      Gamma        Cox, Gamma    FALSE #> 12785  800 0.8898310 0.009215322  fv      Gamma        Cox, Gamma     TRUE #> 12801  801 0.6029141 0.118004690  fv      Gamma        Cox, Gamma    FALSE #> 12817  802 0.6136151 0.118209030  fv      Gamma        Cox, Gamma    FALSE #> 12833  803 0.7643843 0.144107978  fv      Gamma        Cox, Gamma    FALSE #> 12849  804 0.7880555 0.148940888  fv      Gamma        Cox, Gamma    FALSE #> 12865  805 0.7998431 0.151085310  fv      Gamma        Cox, Gamma    FALSE #> 12881  806 0.5799163 0.112694012  fv      Gamma        Cox, Gamma    FALSE #> 12897  807 0.9651011 0.178731784  fv      Gamma        Cox, Gamma    FALSE #> 12913  808 0.7025718 0.137651644  fv      Gamma        Cox, Gamma    FALSE #> 12929  809 0.8694688 0.167063978  fv      Gamma        Cox, Gamma    FALSE #> 12945  810 0.7524828 0.142292627  fv      Gamma        Cox, Gamma    FALSE #> 12961  811 0.9760360 0.179659577  fv      Gamma        Cox, Gamma    FALSE #> 12977  812 0.6752901 0.129939984  fv      Gamma        Cox, Gamma    FALSE #> 12993  813 0.8548886 0.159815547  fv      Gamma        Cox, Gamma    FALSE #> 13009  814 0.8475993 0.160224215  fv      Gamma        Cox, Gamma    FALSE #> 13025  815 1.0378135 0.193339139  fv      Gamma        Cox, Gamma     TRUE #> 13041  816 0.6058893 0.118810341  fv      Gamma        Cox, Gamma    FALSE #> 13057  817 0.8294245 0.160278552  fv      Gamma        Cox, Gamma    FALSE #> 13073  818 0.6699606 0.129819938  fv      Gamma        Cox, Gamma    FALSE #> 13089  819 0.9026802 0.171814094  fv      Gamma        Cox, Gamma    FALSE #> 13105  820 0.6607045 0.126534866  fv      Gamma        Cox, Gamma    FALSE #> 13121  821 0.7740695 0.148978813  fv      Gamma        Cox, Gamma    FALSE #> 13137  822 0.5192049 0.101919886  fv      Gamma        Cox, Gamma    FALSE #> 13153  823 0.7124120 0.136595828  fv      Gamma        Cox, Gamma    FALSE #> 13169  824 0.7414032 0.141357073  fv      Gamma        Cox, Gamma    FALSE #> 13185  825 0.5626547 0.109971816  fv      Gamma        Cox, Gamma    FALSE #> 13201  826 0.7043875 0.133119162  fv      Gamma        Cox, Gamma    FALSE #> 13217  827 0.6514503 0.124574860  fv      Gamma        Cox, Gamma    FALSE #> 13233  828 0.9596989 0.181593656  fv      Gamma        Cox, Gamma    FALSE #> 13249  829 0.6007949 0.116361517  fv      Gamma        Cox, Gamma    FALSE #> 13265  830 0.8469501 0.159224212  fv      Gamma        Cox, Gamma    FALSE #> 13281  831 0.5408164 0.107608019  fv      Gamma        Cox, Gamma    FALSE #> 13297  832 0.7255851 0.137920926  fv      Gamma        Cox, Gamma    FALSE #> 13313  833 0.7233601 0.137867717  fv      Gamma        Cox, Gamma    FALSE #> 13329  834 0.5366763 0.106094653  fv      Gamma        Cox, Gamma    FALSE #> 13345  835 0.6807868 0.129887049  fv      Gamma        Cox, Gamma    FALSE #> 13361  836 0.7233304 0.138523590  fv      Gamma        Cox, Gamma    FALSE #> 13377  837 0.6975474 0.134553921  fv      Gamma        Cox, Gamma    FALSE #> 13393  838 0.9069225 0.168108493  fv      Gamma        Cox, Gamma    FALSE #> 13409  839 0.6369026          NA  fv      Gamma        Cox, Gamma       NA #> 13425  840 0.7404369 0.141071662  fv      Gamma        Cox, Gamma    FALSE #> 13441  841 0.7236781 0.136543217  fv      Gamma        Cox, Gamma    FALSE #> 13457  842 0.7269617 0.139559720  fv      Gamma        Cox, Gamma    FALSE #> 13473  843 0.9404634 0.175372253  fv      Gamma        Cox, Gamma    FALSE #> 13489  844 0.7591388 0.146210176  fv      Gamma        Cox, Gamma    FALSE #> 13505  845 0.8950945 0.167596204  fv      Gamma        Cox, Gamma    FALSE #> 13521  846 0.6293815 0.123382026  fv      Gamma        Cox, Gamma    FALSE #> 13537  847 0.6395938 0.126059073  fv      Gamma        Cox, Gamma    FALSE #> 13553  848 0.5252646 0.103677785  fv      Gamma        Cox, Gamma    FALSE #> 13569  849 0.7224527 0.136457894  fv      Gamma        Cox, Gamma    FALSE #> 13585  850 0.6655871 0.127329444  fv      Gamma        Cox, Gamma    FALSE #> 13601  851 0.7693731 0.146390092  fv      Gamma        Cox, Gamma    FALSE #> 13617  852 0.4630289 0.092204110  fv      Gamma        Cox, Gamma    FALSE #> 13633  853 0.7458003 0.141114834  fv      Gamma        Cox, Gamma    FALSE #> 13649  854 0.5495523 0.107672747  fv      Gamma        Cox, Gamma    FALSE #> 13665  855 0.9345197 0.173532238  fv      Gamma        Cox, Gamma    FALSE #> 13681  856 0.8111527 0.152332420  fv      Gamma        Cox, Gamma    FALSE #> 13697  857 0.5890767 0.115410240  fv      Gamma        Cox, Gamma    FALSE #> 13713  858 0.6332795 0.122745694  fv      Gamma        Cox, Gamma    FALSE #> 13729  859 0.6800949 0.133382028  fv      Gamma        Cox, Gamma    FALSE #> 13745  860 0.6622329 0.127201962  fv      Gamma        Cox, Gamma    FALSE #> 13761  861 0.8276490 0.155843336  fv      Gamma        Cox, Gamma    FALSE #> 13777  862 0.6250495 0.119957952  fv      Gamma        Cox, Gamma    FALSE #> 13793  863 0.7531449 0.143142148  fv      Gamma        Cox, Gamma    FALSE #> 13809  864 0.7254803 0.138882972  fv      Gamma        Cox, Gamma    FALSE #> 13825  865 0.7898965 0.149750258  fv      Gamma        Cox, Gamma    FALSE #> 13841  866 0.6936516 0.132582282  fv      Gamma        Cox, Gamma    FALSE #> 13857  867 0.7247385 0.138061579  fv      Gamma        Cox, Gamma    FALSE #> 13873  868 0.7636970 0.144736951  fv      Gamma        Cox, Gamma    FALSE #> 13889  869 0.7396685 0.140631206  fv      Gamma        Cox, Gamma    FALSE #> 13905  870 0.6878653 0.134946113  fv      Gamma        Cox, Gamma    FALSE #> 13921  871 0.9322391 0.174943111  fv      Gamma        Cox, Gamma    FALSE #> 13937  872 0.8718313 0.164024706  fv      Gamma        Cox, Gamma    FALSE #> 13953  873 0.8129908 0.152112199  fv      Gamma        Cox, Gamma    FALSE #> 13969  874 1.0572431 0.200675949  fv      Gamma        Cox, Gamma     TRUE #> 13985  875 0.6157512 0.118829283  fv      Gamma        Cox, Gamma    FALSE #> 14001  876 0.6630098 0.126690567  fv      Gamma        Cox, Gamma    FALSE #> 14017  877 0.7466926 0.141466654  fv      Gamma        Cox, Gamma    FALSE #> 14033  878 0.7914158 0.152095093  fv      Gamma        Cox, Gamma    FALSE #> 14049  879 0.7052097 0.139283078  fv      Gamma        Cox, Gamma    FALSE #> 14065  880 0.9210401 0.170865848  fv      Gamma        Cox, Gamma    FALSE #> 14081  881 0.8075285 0.152978998  fv      Gamma        Cox, Gamma    FALSE #> 14097  882 0.9622325 0.177253168  fv      Gamma        Cox, Gamma    FALSE #> 14113  883 0.6113031 0.118690674  fv      Gamma        Cox, Gamma    FALSE #> 14129  884 0.5963768 0.115010525  fv      Gamma        Cox, Gamma    FALSE #> 14145  885 0.5900931 0.114649215  fv      Gamma        Cox, Gamma    FALSE #> 14161  886 0.5895583 0.114812076  fv      Gamma        Cox, Gamma    FALSE #> 14177  887 0.7148329 0.136753996  fv      Gamma        Cox, Gamma    FALSE #> 14193  888 0.9594745 0.176947839  fv      Gamma        Cox, Gamma    FALSE #> 14209  889 0.8042972 0.150368824  fv      Gamma        Cox, Gamma    FALSE #> 14225  890 0.6175176 0.120106236  fv      Gamma        Cox, Gamma    FALSE #> 14241  891 0.5137172 0.100840519  fv      Gamma        Cox, Gamma    FALSE #> 14257  892 0.6850107 0.131015607  fv      Gamma        Cox, Gamma    FALSE #> 14273  893 0.8293255 0.157982630  fv      Gamma        Cox, Gamma    FALSE #> 14289  894 0.5677705 0.110836627  fv      Gamma        Cox, Gamma    FALSE #> 14305  895 0.7644482 0.145093246  fv      Gamma        Cox, Gamma    FALSE #> 14321  896 0.8710288 0.162208151  fv      Gamma        Cox, Gamma    FALSE #> 14337  897 0.7168600 0.136395174  fv      Gamma        Cox, Gamma    FALSE #> 14353  898 0.9065450 0.167962428  fv      Gamma        Cox, Gamma    FALSE #> 14369  899 0.7682189 0.146120927  fv      Gamma        Cox, Gamma    FALSE #> 14385  900 0.7950990 0.152564307  fv      Gamma        Cox, Gamma    FALSE #> 14401  901 0.6035077          NA  fv      Gamma        Cox, Gamma       NA #> 14417  902 0.5803465 0.112617990  fv      Gamma        Cox, Gamma    FALSE #> 14433  903 0.6449096 0.123722630  fv      Gamma        Cox, Gamma    FALSE #> 14449  904 1.0645195 0.202580828  fv      Gamma        Cox, Gamma     TRUE #> 14465  905 0.6154062 0.118202301  fv      Gamma        Cox, Gamma    FALSE #> 14481  906 0.9287891 0.171263363  fv      Gamma        Cox, Gamma    FALSE #> 14497  907 0.7180920 0.136679548  fv      Gamma        Cox, Gamma    FALSE #> 14513  908 0.6552036 0.129720385  fv      Gamma        Cox, Gamma    FALSE #> 14529  909 0.6176879 0.120066685  fv      Gamma        Cox, Gamma    FALSE #> 14545  910 0.5521694 0.107962585  fv      Gamma        Cox, Gamma    FALSE #> 14561  911 0.7069066 0.138490781  fv      Gamma        Cox, Gamma    FALSE #> 14577  912 0.5462190 0.106165748  fv      Gamma        Cox, Gamma    FALSE #> 14593  913 0.7016262 0.133463712  fv      Gamma        Cox, Gamma    FALSE #> 14609  914 0.6332994 0.123546571  fv      Gamma        Cox, Gamma    FALSE #> 14625  915 0.8871169 0.168167223  fv      Gamma        Cox, Gamma    FALSE #> 14641  916 0.5314523 0.103737093  fv      Gamma        Cox, Gamma    FALSE #> 14657  917 0.8251601 0.158076990  fv      Gamma        Cox, Gamma    FALSE #> 14673  918 0.7812981 0.146882310  fv      Gamma        Cox, Gamma    FALSE #> 14689  919 0.5633497 0.109510022  fv      Gamma        Cox, Gamma    FALSE #> 14705  920 0.7551588 0.142268945  fv      Gamma        Cox, Gamma    FALSE #> 14721  921 0.8233179 0.155619571  fv      Gamma        Cox, Gamma    FALSE #> 14737  922 1.0592208 0.198177894  fv      Gamma        Cox, Gamma     TRUE #> 14753  923 0.7166090 0.136329906  fv      Gamma        Cox, Gamma    FALSE #> 14769  924 0.7695951 0.144746860  fv      Gamma        Cox, Gamma    FALSE #> 14785  925 0.8674089 0.165902857  fv      Gamma        Cox, Gamma    FALSE #> 14801  926 0.7045694 0.133491756  fv      Gamma        Cox, Gamma    FALSE #> 14817  927 0.4593230 0.091649779  fv      Gamma        Cox, Gamma    FALSE #> 14833  928 0.6908884 0.131414692  fv      Gamma        Cox, Gamma    FALSE #> 14849  929 0.7466114 0.142611050  fv      Gamma        Cox, Gamma    FALSE #> 14865  930 0.8842713 0.169298190  fv      Gamma        Cox, Gamma    FALSE #> 14881  931 0.6753965 0.128818557  fv      Gamma        Cox, Gamma    FALSE #> 14897  932 0.8354712 0.155898458  fv      Gamma        Cox, Gamma    FALSE #> 14913  933 0.6292981 0.121754957  fv      Gamma        Cox, Gamma    FALSE #> 14929  934 0.6014700 0.116226490  fv      Gamma        Cox, Gamma    FALSE #> 14945  935 0.5048390 0.100465756  fv      Gamma        Cox, Gamma    FALSE #> 14961  936 0.5914851 0.114415232  fv      Gamma        Cox, Gamma    FALSE #> 14977  937 1.1046727 0.204362478  fv      Gamma        Cox, Gamma     TRUE #> 14993  938 0.7889907 0.149274856  fv      Gamma        Cox, Gamma    FALSE #> 15009  939 0.8269311 0.155176151  fv      Gamma        Cox, Gamma    FALSE #> 15025  940 0.7645462 0.144080751  fv      Gamma        Cox, Gamma    FALSE #> 15041  941 0.6339856 0.122117198  fv      Gamma        Cox, Gamma    FALSE #> 15057  942 0.6443675 0.124341205  fv      Gamma        Cox, Gamma    FALSE #> 15073  943 0.4804556 0.095616415  fv      Gamma        Cox, Gamma    FALSE #> 15089  944 0.6182545 0.118864711  fv      Gamma        Cox, Gamma    FALSE #> 15105  945 0.6165893 0.119585898  fv      Gamma        Cox, Gamma    FALSE #> 15121  946 0.7660069 0.148721347  fv      Gamma        Cox, Gamma    FALSE #> 15137  947 0.6810811 0.132003647  fv      Gamma        Cox, Gamma    FALSE #> 15153  948 0.5142477 0.102747891  fv      Gamma        Cox, Gamma    FALSE #> 15169  949 0.6180526 0.120672028  fv      Gamma        Cox, Gamma    FALSE #> 15185  950 0.6232314 0.121836187  fv      Gamma        Cox, Gamma    FALSE #> 15201  951 0.7127207 0.135731437  fv      Gamma        Cox, Gamma    FALSE #> 15217  952 0.6730731 0.129521227  fv      Gamma        Cox, Gamma    FALSE #> 15233  953 1.0916190 0.201684689  fv      Gamma        Cox, Gamma     TRUE #> 15249  954 0.6736457 0.128998241  fv      Gamma        Cox, Gamma    FALSE #> 15265  955 0.8188607 0.153567795  fv      Gamma        Cox, Gamma    FALSE #> 15281  956 0.6635977 0.128355306  fv      Gamma        Cox, Gamma    FALSE #> 15297  957 0.6342700 0.123055464  fv      Gamma        Cox, Gamma    FALSE #> 15313  958 0.5356595 0.105054232  fv      Gamma        Cox, Gamma    FALSE #> 15329  959 0.5970231 0.115463296  fv      Gamma        Cox, Gamma    FALSE #> 15345  960 0.7817517 0.148307504  fv      Gamma        Cox, Gamma    FALSE #> 15361  961 0.5115240 0.101112635  fv      Gamma        Cox, Gamma    FALSE #> 15377  962 0.9019772 0.168201411  fv      Gamma        Cox, Gamma    FALSE #> 15393  963 0.8333257 0.157848012  fv      Gamma        Cox, Gamma    FALSE #> 15409  964 0.6911721 0.132489255  fv      Gamma        Cox, Gamma    FALSE #> 15425  965 0.6365177          NA  fv      Gamma        Cox, Gamma       NA #> 15441  966 0.7677420 0.146639440  fv      Gamma        Cox, Gamma    FALSE #> 15457  967 0.6649532 0.127278523  fv      Gamma        Cox, Gamma    FALSE #> 15473  968 0.5605857          NA  fv      Gamma        Cox, Gamma       NA #> 15489  969 0.7488110 0.144103923  fv      Gamma        Cox, Gamma    FALSE #> 15505  970 0.7009266 0.138336093  fv      Gamma        Cox, Gamma    FALSE #> 15521  971 0.6355460 0.123055558  fv      Gamma        Cox, Gamma    FALSE #> 15537  972 0.6550597 0.129518392  fv      Gamma        Cox, Gamma    FALSE #> 15553  973 0.9634266 0.184669702  fv      Gamma        Cox, Gamma    FALSE #> 15569  974 0.5254167 0.103755606  fv      Gamma        Cox, Gamma    FALSE #> 15585  975 0.5023696 0.099748952  fv      Gamma        Cox, Gamma    FALSE #> 15601  976 0.7553050 0.143657040  fv      Gamma        Cox, Gamma    FALSE #> 15617  977 0.8486740 0.158219365  fv      Gamma        Cox, Gamma    FALSE #> 15633  978 0.8302479 0.159751197  fv      Gamma        Cox, Gamma    FALSE #> 15649  979 0.8144014 0.157040892  fv      Gamma        Cox, Gamma    FALSE #> 15665  980 0.5347503 0.104809583  fv      Gamma        Cox, Gamma    FALSE #> 15681  981 0.7146458 0.137812497  fv      Gamma        Cox, Gamma    FALSE #> 15697  982 0.9672795 0.181190607  fv      Gamma        Cox, Gamma    FALSE #> 15713  983 0.5328782 0.105163422  fv      Gamma        Cox, Gamma    FALSE #> 15729  984 0.7516136 0.142836565  fv      Gamma        Cox, Gamma    FALSE #> 15745  985 0.8197373 0.157629048  fv      Gamma        Cox, Gamma    FALSE #> 15761  986 0.6112163 0.117185425  fv      Gamma        Cox, Gamma    FALSE #> 15777  987 0.5479787 0.107370042  fv      Gamma        Cox, Gamma    FALSE #> 15793  988 0.6274646 0.121024201  fv      Gamma        Cox, Gamma    FALSE #> 15809  989 0.7944407 0.149409280  fv      Gamma        Cox, Gamma    FALSE #> 15825  990 0.7107532 0.134620748  fv      Gamma        Cox, Gamma    FALSE #> 15841  991 0.7552528 0.144020517  fv      Gamma        Cox, Gamma    FALSE #> 15857  992 0.7777255 0.148341692  fv      Gamma        Cox, Gamma    FALSE #> 15873  993 0.9434033 0.174832389  fv      Gamma        Cox, Gamma    FALSE #> 15889  994 0.6601987 0.127035638  fv      Gamma        Cox, Gamma    FALSE #> 15905  995 0.8169684 0.154338190  fv      Gamma        Cox, Gamma    FALSE #> 15921  996 0.6693038 0.128326952  fv      Gamma        Cox, Gamma    FALSE #> 15937  997 0.6015899 0.120247558  fv      Gamma        Cox, Gamma    FALSE #> 15953  998 0.6444796          NA  fv      Gamma        Cox, Gamma       NA #> 15969  999 0.5082930 0.099750960  fv      Gamma        Cox, Gamma    FALSE #> 15985 1000 0.4986563 0.099227493  fv      Gamma        Cox, Gamma    FALSE #> 2        1 0.8396248 0.166336769  fv      Gamma   Cox, Log-Normal    FALSE #> 18       2 0.8654809 0.287973324  fv      Gamma   Cox, Log-Normal    FALSE #> 34       3 1.5533362 0.443124033  fv      Gamma   Cox, Log-Normal     TRUE #> 50       4 1.2021700 0.231528152  fv      Gamma   Cox, Log-Normal    FALSE #> 66       5 0.9069256 0.231546211  fv      Gamma   Cox, Log-Normal    FALSE #> 82       6 0.9705696 0.123099170  fv      Gamma   Cox, Log-Normal    FALSE #> 98       7 0.9037494 0.210255478  fv      Gamma   Cox, Log-Normal    FALSE #> 114      8 1.3330730 0.290669413  fv      Gamma   Cox, Log-Normal    FALSE #> 130      9 1.2289061 0.328816511  fv      Gamma   Cox, Log-Normal    FALSE #> 146     10 0.9917595 0.216966969  fv      Gamma   Cox, Log-Normal    FALSE #> 162     11 1.0384351 0.279205813  fv      Gamma   Cox, Log-Normal    FALSE #> 178     12 1.4401730 0.363584050  fv      Gamma   Cox, Log-Normal    FALSE #> 194     13 1.1820887 0.272273545  fv      Gamma   Cox, Log-Normal    FALSE #> 210     14 0.7876591 0.215587735  fv      Gamma   Cox, Log-Normal    FALSE #> 226     15 1.1958391 0.297749174  fv      Gamma   Cox, Log-Normal    FALSE #> 242     16 1.2056374 0.239853982  fv      Gamma   Cox, Log-Normal    FALSE #> 258     17 0.7638555 0.152259647  fv      Gamma   Cox, Log-Normal    FALSE #> 274     18 0.5600481 0.242034309  fv      Gamma   Cox, Log-Normal    FALSE #> 290     19 0.8972620 0.206362814  fv      Gamma   Cox, Log-Normal    FALSE #> 306     20 1.2974784 0.351726424  fv      Gamma   Cox, Log-Normal    FALSE #> 322     21 0.6876797 0.226521087  fv      Gamma   Cox, Log-Normal    FALSE #> 338     22 1.2148856 0.314376529  fv      Gamma   Cox, Log-Normal    FALSE #> 354     23 0.8145580 0.191955407  fv      Gamma   Cox, Log-Normal    FALSE #> 370     24 1.0265042 0.210536939  fv      Gamma   Cox, Log-Normal    FALSE #> 386     25 1.1179286 0.310945298  fv      Gamma   Cox, Log-Normal    FALSE #> 402     26 0.9579917 0.258514556  fv      Gamma   Cox, Log-Normal    FALSE #> 418     27 1.7975474 0.493417117  fv      Gamma   Cox, Log-Normal     TRUE #> 434     28 1.4423476 0.315633062  fv      Gamma   Cox, Log-Normal    FALSE #> 450     29 1.2699356 0.241097065  fv      Gamma   Cox, Log-Normal    FALSE #> 466     30 1.4047494 0.406179915  fv      Gamma   Cox, Log-Normal     TRUE #> 482     31 0.8005746 0.266232147  fv      Gamma   Cox, Log-Normal    FALSE #> 498     32 0.9957436 0.261294995  fv      Gamma   Cox, Log-Normal    FALSE #> 514     33 0.8044589 0.172836665  fv      Gamma   Cox, Log-Normal    FALSE #> 530     34 0.7033578 0.165484797  fv      Gamma   Cox, Log-Normal    FALSE #> 546     35 1.0301148 0.275033997  fv      Gamma   Cox, Log-Normal    FALSE #> 562     36 0.7542718 0.277262843  fv      Gamma   Cox, Log-Normal    FALSE #> 578     37 0.7112477 0.143086191  fv      Gamma   Cox, Log-Normal    FALSE #> 594     38 0.6321543 0.120638937  fv      Gamma   Cox, Log-Normal    FALSE #> 610     39 0.9190196 0.162403199  fv      Gamma   Cox, Log-Normal    FALSE #> 626     40 0.5901511 0.153295406  fv      Gamma   Cox, Log-Normal    FALSE #> 642     41 1.6955260 0.274068495  fv      Gamma   Cox, Log-Normal     TRUE #> 658     42 0.9786594 0.338436250  fv      Gamma   Cox, Log-Normal    FALSE #> 674     43 1.0846014 0.238001169  fv      Gamma   Cox, Log-Normal    FALSE #> 690     44 1.0670686 0.209168137  fv      Gamma   Cox, Log-Normal    FALSE #> 706     45 0.9094972 0.153713130  fv      Gamma   Cox, Log-Normal    FALSE #> 722     46 0.8628380 0.143624017  fv      Gamma   Cox, Log-Normal    FALSE #> 738     47 1.3744833 0.379085783  fv      Gamma   Cox, Log-Normal    FALSE #> 754     48 0.9447438 0.241373759  fv      Gamma   Cox, Log-Normal    FALSE #> 770     49 1.2051056 0.332843614  fv      Gamma   Cox, Log-Normal    FALSE #> 786     50 1.0122736 0.235362960  fv      Gamma   Cox, Log-Normal    FALSE #> 802     51 1.2202208 0.297438475  fv      Gamma   Cox, Log-Normal    FALSE #> 818     52 0.6319282 0.158343089  fv      Gamma   Cox, Log-Normal    FALSE #> 834     53 0.7892154 0.148666919  fv      Gamma   Cox, Log-Normal    FALSE #> 850     54 0.6218626 0.147453939  fv      Gamma   Cox, Log-Normal    FALSE #> 866     55 1.0992895 0.242091300  fv      Gamma   Cox, Log-Normal    FALSE #> 882     56 0.7880115 0.207821575  fv      Gamma   Cox, Log-Normal    FALSE #> 898     57 1.0838536 0.252999308  fv      Gamma   Cox, Log-Normal    FALSE #> 914     58 0.9053863 0.269296974  fv      Gamma   Cox, Log-Normal    FALSE #> 930     59 0.8521828 0.183532101  fv      Gamma   Cox, Log-Normal    FALSE #> 946     60 1.1226700 0.315581488  fv      Gamma   Cox, Log-Normal    FALSE #> 962     61 0.8470775 0.165184536  fv      Gamma   Cox, Log-Normal    FALSE #> 978     62 0.6807293 0.158237205  fv      Gamma   Cox, Log-Normal    FALSE #> 994     63 1.1740857 0.253571694  fv      Gamma   Cox, Log-Normal    FALSE #> 1010    64 0.8143805 0.154909462  fv      Gamma   Cox, Log-Normal    FALSE #> 1026    65 0.8776911 0.151461233  fv      Gamma   Cox, Log-Normal    FALSE #> 1042    66 0.6450936 0.146446549  fv      Gamma   Cox, Log-Normal    FALSE #> 1058    67 1.1252565 0.202649366  fv      Gamma   Cox, Log-Normal    FALSE #> 1074    68 0.9440104 0.190197229  fv      Gamma   Cox, Log-Normal    FALSE #> 1090    69 0.6562820 0.142885574  fv      Gamma   Cox, Log-Normal    FALSE #> 1106    70 0.8936893 0.304947589  fv      Gamma   Cox, Log-Normal    FALSE #> 1122    71 1.2357687 0.253047569  fv      Gamma   Cox, Log-Normal    FALSE #> 1138    72 0.7974302 0.195318813  fv      Gamma   Cox, Log-Normal    FALSE #> 1154    73 0.5968091 0.117975560  fv      Gamma   Cox, Log-Normal    FALSE #> 1170    74 0.8786436 0.164497228  fv      Gamma   Cox, Log-Normal    FALSE #> 1186    75 0.9750754 0.226532064  fv      Gamma   Cox, Log-Normal    FALSE #> 1202    76 0.9645318 0.277393275  fv      Gamma   Cox, Log-Normal    FALSE #> 1218    77 1.0142834 0.249169464  fv      Gamma   Cox, Log-Normal    FALSE #> 1234    78 1.4324625 0.392466363  fv      Gamma   Cox, Log-Normal     TRUE #> 1250    79 2.0973063 0.420079538  fv      Gamma   Cox, Log-Normal     TRUE #> 1266    80 0.7760451 0.266768649  fv      Gamma   Cox, Log-Normal    FALSE #> 1282    81 1.2518287 0.326399591  fv      Gamma   Cox, Log-Normal    FALSE #> 1298    82 0.9445711 0.170469026  fv      Gamma   Cox, Log-Normal    FALSE #> 1314    83 0.6203977 0.269831486  fv      Gamma   Cox, Log-Normal    FALSE #> 1330    84 0.9623414 0.181377810  fv      Gamma   Cox, Log-Normal    FALSE #> 1346    85 0.8411381 0.151718027  fv      Gamma   Cox, Log-Normal    FALSE #> 1362    86 0.8777074 0.173496863  fv      Gamma   Cox, Log-Normal    FALSE #> 1378    87 0.7852935 0.148358262  fv      Gamma   Cox, Log-Normal    FALSE #> 1394    88 0.8880239 0.169358612  fv      Gamma   Cox, Log-Normal    FALSE #> 1410    89 1.0105583 0.218935211  fv      Gamma   Cox, Log-Normal    FALSE #> 1426    90 1.1248867 0.226352162  fv      Gamma   Cox, Log-Normal    FALSE #> 1442    91 0.9313413 0.176657570  fv      Gamma   Cox, Log-Normal    FALSE #> 1458    92 0.8291607 0.161043102  fv      Gamma   Cox, Log-Normal    FALSE #> 1474    93 1.4062271 0.492947581  fv      Gamma   Cox, Log-Normal     TRUE #> 1490    94 1.1792259 0.371694722  fv      Gamma   Cox, Log-Normal    FALSE #> 1506    95 0.9422527 0.186808785  fv      Gamma   Cox, Log-Normal    FALSE #> 1522    96 0.5352317 0.122349552  fv      Gamma   Cox, Log-Normal    FALSE #> 1538    97 0.7041875 0.129219142  fv      Gamma   Cox, Log-Normal    FALSE #> 1554    98 1.0580233 0.191281068  fv      Gamma   Cox, Log-Normal    FALSE #> 1570    99 0.7207367 0.195627282  fv      Gamma   Cox, Log-Normal    FALSE #> 1586   100 1.2143961 0.232039398  fv      Gamma   Cox, Log-Normal    FALSE #> 1602   101 1.1645575 0.202974678  fv      Gamma   Cox, Log-Normal    FALSE #> 1618   102 0.9260904 0.205704353  fv      Gamma   Cox, Log-Normal    FALSE #> 1634   103 1.3313203 0.415434246  fv      Gamma   Cox, Log-Normal     TRUE #> 1650   104 1.0674271 0.230488475  fv      Gamma   Cox, Log-Normal    FALSE #> 1666   105 1.2580642 0.312120608  fv      Gamma   Cox, Log-Normal    FALSE #> 1682   106 0.8964461 0.176933658  fv      Gamma   Cox, Log-Normal    FALSE #> 1698   107 1.3021989 0.320620447  fv      Gamma   Cox, Log-Normal    FALSE #> 1714   108 1.1976726 0.374873974  fv      Gamma   Cox, Log-Normal    FALSE #> 1730   109 0.9569265 0.273685851  fv      Gamma   Cox, Log-Normal    FALSE #> 1746   110 1.0515898 0.268561562  fv      Gamma   Cox, Log-Normal    FALSE #> 1762   111 1.1520637 0.261829502  fv      Gamma   Cox, Log-Normal    FALSE #> 1778   112 0.5659670 0.130417896  fv      Gamma   Cox, Log-Normal    FALSE #> 1794   113 0.6317424 0.122015603  fv      Gamma   Cox, Log-Normal    FALSE #> 1810   114 1.6902270 0.334508909  fv      Gamma   Cox, Log-Normal     TRUE #> 1826   115 0.8076343 0.168987445  fv      Gamma   Cox, Log-Normal    FALSE #> 1842   116 0.5972826 0.130764421  fv      Gamma   Cox, Log-Normal    FALSE #> 1858   117 1.0718606 0.210925331  fv      Gamma   Cox, Log-Normal    FALSE #> 1874   118 0.6408203 0.135263593  fv      Gamma   Cox, Log-Normal    FALSE #> 1890   119 0.7973938 0.174571464  fv      Gamma   Cox, Log-Normal    FALSE #> 1906   120 0.9153147 0.177857493  fv      Gamma   Cox, Log-Normal    FALSE #> 1922   121 0.7644599 0.150392418  fv      Gamma   Cox, Log-Normal    FALSE #> 1938   122 0.8651735 0.261036284  fv      Gamma   Cox, Log-Normal    FALSE #> 1954   123 0.9257951 0.187252850  fv      Gamma   Cox, Log-Normal    FALSE #> 1970   124 0.9726617 0.154366389  fv      Gamma   Cox, Log-Normal    FALSE #> 1986   125 1.2347948 0.317895986  fv      Gamma   Cox, Log-Normal    FALSE #> 2002   126 1.5107344 0.412559767  fv      Gamma   Cox, Log-Normal     TRUE #> 2018   127 1.0864985 0.244291312  fv      Gamma   Cox, Log-Normal    FALSE #> 2034   128 1.0878460 0.217467789  fv      Gamma   Cox, Log-Normal    FALSE #> 2050   129 0.7731209 0.303435174  fv      Gamma   Cox, Log-Normal    FALSE #> 2066   130 0.8530204 0.197021469  fv      Gamma   Cox, Log-Normal    FALSE #> 2082   131 0.8648655 0.165310174  fv      Gamma   Cox, Log-Normal    FALSE #> 2098   132 1.0140972 0.302995158  fv      Gamma   Cox, Log-Normal    FALSE #> 2114   133 0.9104868 0.221438344  fv      Gamma   Cox, Log-Normal    FALSE #> 2130   134 1.0784862 0.271217304  fv      Gamma   Cox, Log-Normal    FALSE #> 2146   135 0.7869113 0.180651674  fv      Gamma   Cox, Log-Normal    FALSE #> 2162   136 0.9755650 0.258643410  fv      Gamma   Cox, Log-Normal    FALSE #> 2178   137 1.2555462 0.298280359  fv      Gamma   Cox, Log-Normal    FALSE #> 2194   138 1.2653651 0.320038448  fv      Gamma   Cox, Log-Normal    FALSE #> 2210   139 0.7961798 0.144604970  fv      Gamma   Cox, Log-Normal    FALSE #> 2226   140 1.0511116 0.243823137  fv      Gamma   Cox, Log-Normal    FALSE #> 2242   141 0.7462247 0.208792390  fv      Gamma   Cox, Log-Normal    FALSE #> 2258   142 0.9738903 0.212138716  fv      Gamma   Cox, Log-Normal    FALSE #> 2274   143 1.5330380 0.537623136  fv      Gamma   Cox, Log-Normal     TRUE #> 2290   144 1.1149075 0.230445555  fv      Gamma   Cox, Log-Normal    FALSE #> 2306   145 0.8547372 0.185823683  fv      Gamma   Cox, Log-Normal    FALSE #> 2322   146 0.8861187 0.183574772  fv      Gamma   Cox, Log-Normal    FALSE #> 2338   147 1.0399587 0.194159810  fv      Gamma   Cox, Log-Normal    FALSE #> 2354   148 0.6173024 0.109281577  fv      Gamma   Cox, Log-Normal    FALSE #> 2370   149 0.8373295 0.191571256  fv      Gamma   Cox, Log-Normal    FALSE #> 2386   150 1.1780887 0.217442230  fv      Gamma   Cox, Log-Normal    FALSE #> 2402   151 1.1285433 0.226278803  fv      Gamma   Cox, Log-Normal    FALSE #> 2418   152 1.1992517 0.394939611  fv      Gamma   Cox, Log-Normal     TRUE #> 2434   153 0.6319684 0.172725513  fv      Gamma   Cox, Log-Normal    FALSE #> 2450   154 1.1200567 0.236910662  fv      Gamma   Cox, Log-Normal    FALSE #> 2466   155 0.9404373 0.309352450  fv      Gamma   Cox, Log-Normal    FALSE #> 2482   156 0.9335558 0.170459226  fv      Gamma   Cox, Log-Normal    FALSE #> 2498   157 1.4355503 0.361703696  fv      Gamma   Cox, Log-Normal    FALSE #> 2514   158 1.4701395 0.366841193  fv      Gamma   Cox, Log-Normal     TRUE #> 2530   159 0.6612553 0.189431483  fv      Gamma   Cox, Log-Normal    FALSE #> 2546   160 0.6884649 0.160081027  fv      Gamma   Cox, Log-Normal    FALSE #> 2562   161 1.7235061 0.366167519  fv      Gamma   Cox, Log-Normal     TRUE #> 2578   162 0.9637307 0.277366991  fv      Gamma   Cox, Log-Normal    FALSE #> 2594   163 0.6826128 0.123999357  fv      Gamma   Cox, Log-Normal    FALSE #> 2610   164 1.2137278 0.254986878  fv      Gamma   Cox, Log-Normal    FALSE #> 2626   165 1.0759865 0.243107518  fv      Gamma   Cox, Log-Normal    FALSE #> 2642   166 1.1514913 0.353009050  fv      Gamma   Cox, Log-Normal    FALSE #> 2658   167 1.3171715 0.267054689  fv      Gamma   Cox, Log-Normal    FALSE #> 2674   168 1.0866206 0.235629785  fv      Gamma   Cox, Log-Normal    FALSE #> 2690   169 0.9467015 0.224115190  fv      Gamma   Cox, Log-Normal    FALSE #> 2706   170 0.9395929 0.217597367  fv      Gamma   Cox, Log-Normal    FALSE #> 2722   171 0.9618300 0.263408111  fv      Gamma   Cox, Log-Normal    FALSE #> 2738   172 1.1425683 0.242325710  fv      Gamma   Cox, Log-Normal    FALSE #> 2754   173 0.7877272 0.217794070  fv      Gamma   Cox, Log-Normal    FALSE #> 2770   174 1.1282426 0.267735233  fv      Gamma   Cox, Log-Normal    FALSE #> 2786   175 0.8178924 0.230738271  fv      Gamma   Cox, Log-Normal    FALSE #> 2802   176 0.8741514 0.162586064  fv      Gamma   Cox, Log-Normal    FALSE #> 2818   177 0.7687814 0.283467846  fv      Gamma   Cox, Log-Normal    FALSE #> 2834   178 1.1744687 0.211056326  fv      Gamma   Cox, Log-Normal    FALSE #> 2850   179 0.7526095 0.150027385  fv      Gamma   Cox, Log-Normal    FALSE #> 2866   180 1.0216310 0.316148826  fv      Gamma   Cox, Log-Normal    FALSE #> 2882   181 1.1712040 0.260266639  fv      Gamma   Cox, Log-Normal    FALSE #> 2898   182 0.9333976 0.175417306  fv      Gamma   Cox, Log-Normal    FALSE #> 2914   183 0.7609429 0.152764885  fv      Gamma   Cox, Log-Normal    FALSE #> 2930   184 0.9364676 0.263118357  fv      Gamma   Cox, Log-Normal    FALSE #> 2946   185 1.1970108 0.256427056  fv      Gamma   Cox, Log-Normal    FALSE #> 2962   186 1.3811930 0.386834280  fv      Gamma   Cox, Log-Normal    FALSE #> 2978   187 0.9677626 0.218961822  fv      Gamma   Cox, Log-Normal    FALSE #> 2994   188 0.6677381 0.129193425  fv      Gamma   Cox, Log-Normal    FALSE #> 3010   189 1.0300136 0.181675457  fv      Gamma   Cox, Log-Normal    FALSE #> 3026   190 0.9781161 0.186623640  fv      Gamma   Cox, Log-Normal    FALSE #> 3042   191 1.0047812 0.234422284  fv      Gamma   Cox, Log-Normal    FALSE #> 3058   192 1.0481335 0.313856424  fv      Gamma   Cox, Log-Normal    FALSE #> 3074   193 0.8578876 0.206851646  fv      Gamma   Cox, Log-Normal    FALSE #> 3090   194 0.8025329 0.177765199  fv      Gamma   Cox, Log-Normal    FALSE #> 3106   195 1.0948348 0.189268663  fv      Gamma   Cox, Log-Normal    FALSE #> 3122   196 1.1531601 0.315355691  fv      Gamma   Cox, Log-Normal    FALSE #> 3138   197 0.9174118 0.146017107  fv      Gamma   Cox, Log-Normal    FALSE #> 3154   198 0.9822719 0.160214536  fv      Gamma   Cox, Log-Normal    FALSE #> 3170   199 0.7665154 0.178048907  fv      Gamma   Cox, Log-Normal    FALSE #> 3186   200 1.0827449 0.216626911  fv      Gamma   Cox, Log-Normal    FALSE #> 3202   201 1.0550061 0.243012425  fv      Gamma   Cox, Log-Normal    FALSE #> 3218   202 1.0972858 0.215662323  fv      Gamma   Cox, Log-Normal    FALSE #> 3234   203 0.9855765 0.182481322  fv      Gamma   Cox, Log-Normal    FALSE #> 3250   204 1.0561904 0.348906497  fv      Gamma   Cox, Log-Normal    FALSE #> 3266   205 0.7564109 0.205512464  fv      Gamma   Cox, Log-Normal    FALSE #> 3282   206 1.0125371 0.222694936  fv      Gamma   Cox, Log-Normal    FALSE #> 3298   207 0.6826566 0.147213825  fv      Gamma   Cox, Log-Normal    FALSE #> 3314   208 0.9760813 0.224712745  fv      Gamma   Cox, Log-Normal    FALSE #> 3330   209 0.9269613 0.220844066  fv      Gamma   Cox, Log-Normal    FALSE #> 3346   210 0.9133674 0.231763968  fv      Gamma   Cox, Log-Normal    FALSE #> 3362   211 1.4904914 0.390725669  fv      Gamma   Cox, Log-Normal     TRUE #> 3378   212 0.9920371 0.255836508  fv      Gamma   Cox, Log-Normal    FALSE #> 3394   213 1.1118333 0.294714345  fv      Gamma   Cox, Log-Normal    FALSE #> 3410   214 1.0039471 0.304092232  fv      Gamma   Cox, Log-Normal    FALSE #> 3426   215 1.1241297 0.264189786  fv      Gamma   Cox, Log-Normal    FALSE #> 3442   216 1.2582014 0.301083523  fv      Gamma   Cox, Log-Normal    FALSE #> 3458   217 0.8366225 0.210156062  fv      Gamma   Cox, Log-Normal    FALSE #> 3474   218 0.8448105 0.236493852  fv      Gamma   Cox, Log-Normal    FALSE #> 3490   219 1.2107113 0.347155926  fv      Gamma   Cox, Log-Normal    FALSE #> 3506   220 0.7158888 0.136382455  fv      Gamma   Cox, Log-Normal    FALSE #> 3522   221 0.9339555 0.266680492  fv      Gamma   Cox, Log-Normal    FALSE #> 3538   222 1.1192118 0.312072336  fv      Gamma   Cox, Log-Normal    FALSE #> 3554   223 1.0452753 0.280574246  fv      Gamma   Cox, Log-Normal    FALSE #> 3570   224 1.0115289 0.233439970  fv      Gamma   Cox, Log-Normal    FALSE #> 3586   225 0.8032168 0.161726631  fv      Gamma   Cox, Log-Normal    FALSE #> 3602   226 1.3087768 0.413967329  fv      Gamma   Cox, Log-Normal     TRUE #> 3618   227 0.8661987 0.237439745  fv      Gamma   Cox, Log-Normal    FALSE #> 3634   228 1.1166755 0.216930095  fv      Gamma   Cox, Log-Normal    FALSE #> 3650   229 1.1105627 0.275511999  fv      Gamma   Cox, Log-Normal    FALSE #> 3666   230 0.8823663 0.147648628  fv      Gamma   Cox, Log-Normal    FALSE #> 3682   231 1.1464490 0.264342378  fv      Gamma   Cox, Log-Normal    FALSE #> 3698   232 1.0282286 0.294509349  fv      Gamma   Cox, Log-Normal    FALSE #> 3714   233 1.1858851 0.308748988  fv      Gamma   Cox, Log-Normal    FALSE #> 3730   234 0.9141730 0.234737862  fv      Gamma   Cox, Log-Normal    FALSE #> 3746   235 1.1254600 0.356891640  fv      Gamma   Cox, Log-Normal    FALSE #> 3762   236 0.6441731 0.174629945  fv      Gamma   Cox, Log-Normal    FALSE #> 3778   237 0.8396326 0.205428196  fv      Gamma   Cox, Log-Normal    FALSE #> 3794   238 0.8108753 0.210967352  fv      Gamma   Cox, Log-Normal    FALSE #> 3810   239 0.9353923 0.175452236  fv      Gamma   Cox, Log-Normal    FALSE #> 3826   240 1.1534031 0.316909074  fv      Gamma   Cox, Log-Normal    FALSE #> 3842   241 0.8525632 0.153161651  fv      Gamma   Cox, Log-Normal    FALSE #> 3858   242 0.6325823 0.110859718  fv      Gamma   Cox, Log-Normal    FALSE #> 3874   243 1.3438274 0.504696267  fv      Gamma   Cox, Log-Normal     TRUE #> 3890   244 0.6847331 0.117664089  fv      Gamma   Cox, Log-Normal    FALSE #> 3906   245 1.5084013 0.416220066  fv      Gamma   Cox, Log-Normal     TRUE #> 3922   246 0.8600815 0.160092148  fv      Gamma   Cox, Log-Normal    FALSE #> 3938   247 1.0459691 0.247888885  fv      Gamma   Cox, Log-Normal    FALSE #> 3954   248 1.3774923 0.295724239  fv      Gamma   Cox, Log-Normal    FALSE #> 3970   249 1.4544026 0.401018407  fv      Gamma   Cox, Log-Normal     TRUE #> 3986   250 0.9930866 0.252367133  fv      Gamma   Cox, Log-Normal    FALSE #> 4002   251 1.0750961 0.286717462  fv      Gamma   Cox, Log-Normal    FALSE #> 4018   252 1.1463194 0.342407069  fv      Gamma   Cox, Log-Normal    FALSE #> 4034   253 1.2383183 0.401788395  fv      Gamma   Cox, Log-Normal     TRUE #> 4050   254 0.6184252 0.098351797  fv      Gamma   Cox, Log-Normal    FALSE #> 4066   255 0.9288740 0.135923481  fv      Gamma   Cox, Log-Normal    FALSE #> 4082   256 0.9116082 0.198199738  fv      Gamma   Cox, Log-Normal    FALSE #> 4098   257 0.6749869 0.129906431  fv      Gamma   Cox, Log-Normal    FALSE #> 4114   258 1.0142908 0.337359222  fv      Gamma   Cox, Log-Normal    FALSE #> 4130   259 0.9440221 0.210134843  fv      Gamma   Cox, Log-Normal    FALSE #> 4146   260 1.1202138 0.249898993  fv      Gamma   Cox, Log-Normal    FALSE #> 4162   261 0.5960250 0.118672454  fv      Gamma   Cox, Log-Normal    FALSE #> 4178   262 0.8366969 0.176398436  fv      Gamma   Cox, Log-Normal    FALSE #> 4194   263 0.7871702 0.205713317  fv      Gamma   Cox, Log-Normal    FALSE #> 4210   264 0.6057126 0.113149327  fv      Gamma   Cox, Log-Normal    FALSE #> 4226   265 0.7758375 0.147043597  fv      Gamma   Cox, Log-Normal    FALSE #> 4242   266 0.8500845 0.224891518  fv      Gamma   Cox, Log-Normal    FALSE #> 4258   267 0.9199981 0.195893000  fv      Gamma   Cox, Log-Normal    FALSE #> 4274   268 0.9880338 0.209263821  fv      Gamma   Cox, Log-Normal    FALSE #> 4290   269 1.6572488 0.438643117  fv      Gamma   Cox, Log-Normal     TRUE #> 4306   270 1.2169293 0.315454041  fv      Gamma   Cox, Log-Normal    FALSE #> 4322   271 1.2092937 0.306710304  fv      Gamma   Cox, Log-Normal    FALSE #> 4338   272 0.7054006 0.192228252  fv      Gamma   Cox, Log-Normal    FALSE #> 4354   273 0.8125655 0.154642396  fv      Gamma   Cox, Log-Normal    FALSE #> 4370   274 0.9034828 0.186117871  fv      Gamma   Cox, Log-Normal    FALSE #> 4386   275 1.1334718 0.225436721  fv      Gamma   Cox, Log-Normal    FALSE #> 4402   276 1.0808167 0.354131546  fv      Gamma   Cox, Log-Normal    FALSE #> 4418   277 0.8663479 0.141176671  fv      Gamma   Cox, Log-Normal    FALSE #> 4434   278 1.0154270 0.195194389  fv      Gamma   Cox, Log-Normal    FALSE #> 4450   279 0.9972416 0.246791708  fv      Gamma   Cox, Log-Normal    FALSE #> 4466   280 0.9485671 0.192665901  fv      Gamma   Cox, Log-Normal    FALSE #> 4482   281 1.5419471 0.432963938  fv      Gamma   Cox, Log-Normal     TRUE #> 4498   282 0.7366272 0.154485998  fv      Gamma   Cox, Log-Normal    FALSE #> 4514   283 1.1387523 0.351311035  fv      Gamma   Cox, Log-Normal    FALSE #> 4530   284 0.7606273 0.130651621  fv      Gamma   Cox, Log-Normal    FALSE #> 4546   285 0.5940809 0.114410663  fv      Gamma   Cox, Log-Normal    FALSE #> 4562   286 0.9980889 0.165993278  fv      Gamma   Cox, Log-Normal    FALSE #> 4578   287 0.7786292 0.173527925  fv      Gamma   Cox, Log-Normal    FALSE #> 4594   288 1.8012469 0.384382846  fv      Gamma   Cox, Log-Normal     TRUE #> 4610   289 0.8352625 0.230080256  fv      Gamma   Cox, Log-Normal    FALSE #> 4626   290 0.7462650 0.161150218  fv      Gamma   Cox, Log-Normal    FALSE #> 4642   291 0.7581738 0.185194416  fv      Gamma   Cox, Log-Normal    FALSE #> 4658   292 0.7315072 0.136632050  fv      Gamma   Cox, Log-Normal    FALSE #> 4674   293 1.1794738 0.263230250  fv      Gamma   Cox, Log-Normal    FALSE #> 4690   294 0.8364797 0.177888851  fv      Gamma   Cox, Log-Normal    FALSE #> 4706   295 1.5702252 0.363660287  fv      Gamma   Cox, Log-Normal     TRUE #> 4722   296 1.0030032 0.212419723  fv      Gamma   Cox, Log-Normal    FALSE #> 4738   297 1.7048282 0.324692247  fv      Gamma   Cox, Log-Normal     TRUE #> 4754   298 0.6792576 0.124013511  fv      Gamma   Cox, Log-Normal    FALSE #> 4770   299 0.7179893 0.156934076  fv      Gamma   Cox, Log-Normal    FALSE #> 4786   300 1.1245685 0.198322193  fv      Gamma   Cox, Log-Normal    FALSE #> 4802   301 0.6708749 0.171248942  fv      Gamma   Cox, Log-Normal    FALSE #> 4818   302 1.0425587 0.181386611  fv      Gamma   Cox, Log-Normal    FALSE #> 4834   303 0.7687011 0.144588971  fv      Gamma   Cox, Log-Normal    FALSE #> 4850   304 0.8183131 0.180688666  fv      Gamma   Cox, Log-Normal    FALSE #> 4866   305 1.1994373 0.254185287  fv      Gamma   Cox, Log-Normal    FALSE #> 4882   306 0.9480399 0.206670969  fv      Gamma   Cox, Log-Normal    FALSE #> 4898   307 1.0547876 0.317754660  fv      Gamma   Cox, Log-Normal    FALSE #> 4914   308 0.8707234 0.206289074  fv      Gamma   Cox, Log-Normal    FALSE #> 4930   309 1.0009221 0.187321610  fv      Gamma   Cox, Log-Normal    FALSE #> 4946   310 1.5183534 0.350397464  fv      Gamma   Cox, Log-Normal     TRUE #> 4962   311 1.2122527 0.296579713  fv      Gamma   Cox, Log-Normal    FALSE #> 4978   312 1.8443405 0.479858067  fv      Gamma   Cox, Log-Normal     TRUE #> 4994   313 1.1266272 0.250518734  fv      Gamma   Cox, Log-Normal    FALSE #> 5010   314 0.9134451 0.223254762  fv      Gamma   Cox, Log-Normal    FALSE #> 5026   315 1.0694137 0.206784794  fv      Gamma   Cox, Log-Normal    FALSE #> 5042   316 1.5557750 0.331763485  fv      Gamma   Cox, Log-Normal     TRUE #> 5058   317 0.7900325 0.184343319  fv      Gamma   Cox, Log-Normal    FALSE #> 5074   318 0.9676750 0.285161091  fv      Gamma   Cox, Log-Normal    FALSE #> 5090   319 0.7534842 0.186475417  fv      Gamma   Cox, Log-Normal    FALSE #> 5106   320 0.7587523 0.158245032  fv      Gamma   Cox, Log-Normal    FALSE #> 5122   321 1.3296280 0.289607929  fv      Gamma   Cox, Log-Normal    FALSE #> 5138   322 0.6540554 0.153362582  fv      Gamma   Cox, Log-Normal    FALSE #> 5154   323 1.1866786 0.246796331  fv      Gamma   Cox, Log-Normal    FALSE #> 5170   324 0.7879666 0.235532790  fv      Gamma   Cox, Log-Normal    FALSE #> 5186   325 0.9063958 0.177813514  fv      Gamma   Cox, Log-Normal    FALSE #> 5202   326 0.8994038 0.180708837  fv      Gamma   Cox, Log-Normal    FALSE #> 5218   327 0.9343756 0.199207745  fv      Gamma   Cox, Log-Normal    FALSE #> 5234   328 1.4427292 0.367840271  fv      Gamma   Cox, Log-Normal    FALSE #> 5250   329 1.2314166 0.320033252  fv      Gamma   Cox, Log-Normal    FALSE #> 5266   330 0.9467010 0.225445798  fv      Gamma   Cox, Log-Normal    FALSE #> 5282   331 1.1330281 0.231943006  fv      Gamma   Cox, Log-Normal    FALSE #> 5298   332 0.7331899 0.197574585  fv      Gamma   Cox, Log-Normal    FALSE #> 5314   333 0.6844227 0.140883756  fv      Gamma   Cox, Log-Normal    FALSE #> 5330   334 1.3781416 0.249637577  fv      Gamma   Cox, Log-Normal    FALSE #> 5346   335 1.0702186 0.271371029  fv      Gamma   Cox, Log-Normal    FALSE #> 5362   336 0.6209932 0.164255992  fv      Gamma   Cox, Log-Normal    FALSE #> 5378   337 0.8421416 0.206148684  fv      Gamma   Cox, Log-Normal    FALSE #> 5394   338 0.7236815 0.112024580  fv      Gamma   Cox, Log-Normal    FALSE #> 5410   339 1.0388795 0.295391600  fv      Gamma   Cox, Log-Normal    FALSE #> 5426   340 1.1095304 0.403572705  fv      Gamma   Cox, Log-Normal     TRUE #> 5442   341 0.6719273 0.137761634  fv      Gamma   Cox, Log-Normal    FALSE #> 5458   342 0.5332889 0.101209542  fv      Gamma   Cox, Log-Normal    FALSE #> 5474   343 0.7748324 0.181756300  fv      Gamma   Cox, Log-Normal    FALSE #> 5490   344 1.3667207 0.352452784  fv      Gamma   Cox, Log-Normal    FALSE #> 5506   345 1.1973392 0.238025218  fv      Gamma   Cox, Log-Normal    FALSE #> 5522   346 1.0638629 0.203973708  fv      Gamma   Cox, Log-Normal    FALSE #> 5538   347 0.9372712 0.157409347  fv      Gamma   Cox, Log-Normal    FALSE #> 5554   348 1.4096446 0.303746493  fv      Gamma   Cox, Log-Normal    FALSE #> 5570   349 1.1515909 0.267338558  fv      Gamma   Cox, Log-Normal    FALSE #> 5586   350 1.0566777 0.204651400  fv      Gamma   Cox, Log-Normal    FALSE #> 5602   351 1.2270499 0.365187960  fv      Gamma   Cox, Log-Normal    FALSE #> 5618   352 1.1384745 0.320730548  fv      Gamma   Cox, Log-Normal    FALSE #> 5634   353 0.6761084 0.151468116  fv      Gamma   Cox, Log-Normal    FALSE #> 5650   354 0.9381758 0.195546224  fv      Gamma   Cox, Log-Normal    FALSE #> 5666   355 1.1119338 0.223665047  fv      Gamma   Cox, Log-Normal    FALSE #> 5682   356 1.0905507 0.292129252  fv      Gamma   Cox, Log-Normal    FALSE #> 5698   357 0.8452529 0.184177665  fv      Gamma   Cox, Log-Normal    FALSE #> 5714   358 0.8066733 0.115900961  fv      Gamma   Cox, Log-Normal    FALSE #> 5730   359 0.8677696 0.265080079  fv      Gamma   Cox, Log-Normal    FALSE #> 5746   360 0.7287289 0.131955369  fv      Gamma   Cox, Log-Normal    FALSE #> 5762   361 1.3008883 0.360862820  fv      Gamma   Cox, Log-Normal    FALSE #> 5778   362 0.5904270 0.130278388  fv      Gamma   Cox, Log-Normal    FALSE #> 5794   363 0.9529346 0.266922925  fv      Gamma   Cox, Log-Normal    FALSE #> 5810   364 0.6480905 0.167160297  fv      Gamma   Cox, Log-Normal    FALSE #> 5826   365 0.9971018 0.330971308  fv      Gamma   Cox, Log-Normal    FALSE #> 5842   366 1.1939180 0.294834729  fv      Gamma   Cox, Log-Normal    FALSE #> 5858   367 1.1703409 0.220120120  fv      Gamma   Cox, Log-Normal    FALSE #> 5874   368 1.1791884 0.429781697  fv      Gamma   Cox, Log-Normal     TRUE #> 5890   369 0.6704603 0.124258362  fv      Gamma   Cox, Log-Normal    FALSE #> 5906   370 0.6437177 0.144677882  fv      Gamma   Cox, Log-Normal    FALSE #> 5922   371 1.0793130 0.276618474  fv      Gamma   Cox, Log-Normal    FALSE #> 5938   372 0.7821637 0.249248520  fv      Gamma   Cox, Log-Normal    FALSE #> 5954   373 0.9198681 0.214796254  fv      Gamma   Cox, Log-Normal    FALSE #> 5970   374 0.7206397 0.140563196  fv      Gamma   Cox, Log-Normal    FALSE #> 5986   375 0.7455317 0.156345249  fv      Gamma   Cox, Log-Normal    FALSE #> 6002   376 0.7820201 0.164687256  fv      Gamma   Cox, Log-Normal    FALSE #> 6018   377 1.2011353 0.333770351  fv      Gamma   Cox, Log-Normal    FALSE #> 6034   378 1.0732917 0.230685922  fv      Gamma   Cox, Log-Normal    FALSE #> 6050   379 0.7956228 0.135068436  fv      Gamma   Cox, Log-Normal    FALSE #> 6066   380 0.9821977 0.202408585  fv      Gamma   Cox, Log-Normal    FALSE #> 6082   381 0.7109656 0.149643496  fv      Gamma   Cox, Log-Normal    FALSE #> 6098   382 0.9332571 0.225055001  fv      Gamma   Cox, Log-Normal    FALSE #> 6114   383 1.4525060 0.252050709  fv      Gamma   Cox, Log-Normal    FALSE #> 6130   384 1.1156376 0.225314386  fv      Gamma   Cox, Log-Normal    FALSE #> 6146   385 0.6937414 0.130805747  fv      Gamma   Cox, Log-Normal    FALSE #> 6162   386 0.4539095 0.143952602  fv      Gamma   Cox, Log-Normal     TRUE #> 6178   387 0.6909378 0.131527306  fv      Gamma   Cox, Log-Normal    FALSE #> 6194   388 0.8732335 0.176442179  fv      Gamma   Cox, Log-Normal    FALSE #> 6210   389 0.6361769 0.145037919  fv      Gamma   Cox, Log-Normal    FALSE #> 6226   390 0.7550553 0.176928641  fv      Gamma   Cox, Log-Normal    FALSE #> 6242   391 0.6148799 0.135829174  fv      Gamma   Cox, Log-Normal    FALSE #> 6258   392 1.1216041 0.230266849  fv      Gamma   Cox, Log-Normal    FALSE #> 6274   393 0.6766989 0.155586331  fv      Gamma   Cox, Log-Normal    FALSE #> 6290   394 1.2809946 0.303295151  fv      Gamma   Cox, Log-Normal    FALSE #> 6306   395 0.9574912 0.257132721  fv      Gamma   Cox, Log-Normal    FALSE #> 6322   396 0.9517729 0.286349874  fv      Gamma   Cox, Log-Normal    FALSE #> 6338   397 1.1124126 0.212177754  fv      Gamma   Cox, Log-Normal    FALSE #> 6354   398 0.9331498 0.195380303  fv      Gamma   Cox, Log-Normal    FALSE #> 6370   399 0.7590104 0.183901117  fv      Gamma   Cox, Log-Normal    FALSE #> 6386   400 0.8141348 0.209282394  fv      Gamma   Cox, Log-Normal    FALSE #> 6402   401 1.1725501 0.302794794  fv      Gamma   Cox, Log-Normal    FALSE #> 6418   402 0.8902602 0.257412268  fv      Gamma   Cox, Log-Normal    FALSE #> 6434   403 0.8519330 0.172126937  fv      Gamma   Cox, Log-Normal    FALSE #> 6450   404 1.0476725 0.336457821  fv      Gamma   Cox, Log-Normal    FALSE #> 6466   405 0.7691769 0.130780437  fv      Gamma   Cox, Log-Normal    FALSE #> 6482   406 0.7361662 0.138962491  fv      Gamma   Cox, Log-Normal    FALSE #> 6498   407 1.0450332 0.255588768  fv      Gamma   Cox, Log-Normal    FALSE #> 6514   408 0.6282204 0.263436321  fv      Gamma   Cox, Log-Normal    FALSE #> 6530   409 1.2675705 0.255827563  fv      Gamma   Cox, Log-Normal    FALSE #> 6546   410 1.4027855 0.405498694  fv      Gamma   Cox, Log-Normal     TRUE #> 6562   411 1.0909367 0.364351515  fv      Gamma   Cox, Log-Normal    FALSE #> 6578   412 0.8247547 0.147850429  fv      Gamma   Cox, Log-Normal    FALSE #> 6594   413 0.9001954 0.207926748  fv      Gamma   Cox, Log-Normal    FALSE #> 6610   414 0.8922666 0.205074388  fv      Gamma   Cox, Log-Normal    FALSE #> 6626   415 1.1201345 0.235581947  fv      Gamma   Cox, Log-Normal    FALSE #> 6642   416 0.7256155 0.151266912  fv      Gamma   Cox, Log-Normal    FALSE #> 6658   417 0.9635329 0.165467319  fv      Gamma   Cox, Log-Normal    FALSE #> 6674   418 0.9579341 0.221398430  fv      Gamma   Cox, Log-Normal    FALSE #> 6690   419 0.8134821 0.226987586  fv      Gamma   Cox, Log-Normal    FALSE #> 6706   420 1.1122495 0.304778954  fv      Gamma   Cox, Log-Normal    FALSE #> 6722   421 1.0634088 0.195189997  fv      Gamma   Cox, Log-Normal    FALSE #> 6738   422 0.9576175 0.239546727  fv      Gamma   Cox, Log-Normal    FALSE #> 6754   423 1.0594321 0.228721736  fv      Gamma   Cox, Log-Normal    FALSE #> 6770   424 0.9597868 0.276897329  fv      Gamma   Cox, Log-Normal    FALSE #> 6786   425 0.7315512 0.180004030  fv      Gamma   Cox, Log-Normal    FALSE #> 6802   426 1.2737580 0.295162754  fv      Gamma   Cox, Log-Normal    FALSE #> 6818   427 0.5082034 0.138832393  fv      Gamma   Cox, Log-Normal    FALSE #> 6834   428 1.4427275 0.408389941  fv      Gamma   Cox, Log-Normal     TRUE #> 6850   429 0.7931159 0.177763555  fv      Gamma   Cox, Log-Normal    FALSE #> 6866   430 0.6869118 0.109383857  fv      Gamma   Cox, Log-Normal    FALSE #> 6882   431 1.0984440 0.245113401  fv      Gamma   Cox, Log-Normal    FALSE #> 6898   432 0.6733838 0.147400668  fv      Gamma   Cox, Log-Normal    FALSE #> 6914   433 1.1186541 0.329798430  fv      Gamma   Cox, Log-Normal    FALSE #> 6930   434 1.2398972 0.222930487  fv      Gamma   Cox, Log-Normal    FALSE #> 6946   435 0.8050301 0.140179777  fv      Gamma   Cox, Log-Normal    FALSE #> 6962   436 1.2438138 0.307965337  fv      Gamma   Cox, Log-Normal    FALSE #> 6978   437 0.8224460 0.126221473  fv      Gamma   Cox, Log-Normal    FALSE #> 6994   438 0.6359268 0.189779025  fv      Gamma   Cox, Log-Normal    FALSE #> 7010   439 0.9316025 0.286812594  fv      Gamma   Cox, Log-Normal    FALSE #> 7026   440 0.8116677 0.150546885  fv      Gamma   Cox, Log-Normal    FALSE #> 7042   441 0.4957894 0.090606260  fv      Gamma   Cox, Log-Normal     TRUE #> 7058   442 0.9920610 0.183115913  fv      Gamma   Cox, Log-Normal    FALSE #> 7074   443 0.6649345 0.222904431  fv      Gamma   Cox, Log-Normal    FALSE #> 7090   444 0.8035197 0.183494932  fv      Gamma   Cox, Log-Normal    FALSE #> 7106   445 1.2090738 0.358004906  fv      Gamma   Cox, Log-Normal    FALSE #> 7122   446 1.0087995 0.220975718  fv      Gamma   Cox, Log-Normal    FALSE #> 7138   447 0.9565913 0.200822801  fv      Gamma   Cox, Log-Normal    FALSE #> 7154   448 1.0441738 0.260365565  fv      Gamma   Cox, Log-Normal    FALSE #> 7170   449 1.1615839 0.216975618  fv      Gamma   Cox, Log-Normal    FALSE #> 7186   450 0.7740953 0.140879888  fv      Gamma   Cox, Log-Normal    FALSE #> 7202   451 1.0692578 0.222198213  fv      Gamma   Cox, Log-Normal    FALSE #> 7218   452 0.6524954 0.123359523  fv      Gamma   Cox, Log-Normal    FALSE #> 7234   453 1.0336945 0.199674407  fv      Gamma   Cox, Log-Normal    FALSE #> 7250   454 0.8403049 0.274222788  fv      Gamma   Cox, Log-Normal    FALSE #> 7266   455 1.0557566 0.225824987  fv      Gamma   Cox, Log-Normal    FALSE #> 7282   456 1.0962428 0.243979297  fv      Gamma   Cox, Log-Normal    FALSE #> 7298   457 1.1029915 0.213750191  fv      Gamma   Cox, Log-Normal    FALSE #> 7314   458 1.2720893 0.351284624  fv      Gamma   Cox, Log-Normal    FALSE #> 7330   459 0.8717904 0.217191101  fv      Gamma   Cox, Log-Normal    FALSE #> 7346   460 0.8326436 0.222186414  fv      Gamma   Cox, Log-Normal    FALSE #> 7362   461 1.0365468 0.264064386  fv      Gamma   Cox, Log-Normal    FALSE #> 7378   462 1.3924264 0.387524188  fv      Gamma   Cox, Log-Normal    FALSE #> 7394   463 0.7356121 0.119417840  fv      Gamma   Cox, Log-Normal    FALSE #> 7410   464 0.6727029 0.179079073  fv      Gamma   Cox, Log-Normal    FALSE #> 7426   465 0.9358999 0.191441499  fv      Gamma   Cox, Log-Normal    FALSE #> 7442   466 1.0797508 0.320286330  fv      Gamma   Cox, Log-Normal    FALSE #> 7458   467 1.2546135 0.331880843  fv      Gamma   Cox, Log-Normal    FALSE #> 7474   468 0.6594459 0.127506910  fv      Gamma   Cox, Log-Normal    FALSE #> 7490   469 1.0773071 0.306539717  fv      Gamma   Cox, Log-Normal    FALSE #> 7506   470 0.9831728 0.182063344  fv      Gamma   Cox, Log-Normal    FALSE #> 7522   471 0.7441140 0.128457720  fv      Gamma   Cox, Log-Normal    FALSE #> 7538   472 1.1705633 0.275046221  fv      Gamma   Cox, Log-Normal    FALSE #> 7554   473 0.7944060 0.160426950  fv      Gamma   Cox, Log-Normal    FALSE #> 7570   474 0.7893312 0.236801144  fv      Gamma   Cox, Log-Normal    FALSE #> 7586   475 1.6420040 0.472204521  fv      Gamma   Cox, Log-Normal     TRUE #> 7602   476 0.6907611 0.179152271  fv      Gamma   Cox, Log-Normal    FALSE #> 7618   477 1.2306596 0.240740348  fv      Gamma   Cox, Log-Normal    FALSE #> 7634   478 0.9703432 0.280043037  fv      Gamma   Cox, Log-Normal    FALSE #> 7650   479 1.2556369 0.278832138  fv      Gamma   Cox, Log-Normal    FALSE #> 7666   480 1.0316289 0.262194195  fv      Gamma   Cox, Log-Normal    FALSE #> 7682   481 0.9069980 0.240001733  fv      Gamma   Cox, Log-Normal    FALSE #> 7698   482 0.8651847 0.324883873  fv      Gamma   Cox, Log-Normal    FALSE #> 7714   483 0.9195134 0.324966495  fv      Gamma   Cox, Log-Normal    FALSE #> 7730   484 0.9354766 0.158821908  fv      Gamma   Cox, Log-Normal    FALSE #> 7746   485 1.0036369 0.235477830  fv      Gamma   Cox, Log-Normal    FALSE #> 7762   486 0.7230942 0.191080579  fv      Gamma   Cox, Log-Normal    FALSE #> 7778   487 1.0953227 0.216107707  fv      Gamma   Cox, Log-Normal    FALSE #> 7794   488 0.9509228 0.341422686  fv      Gamma   Cox, Log-Normal    FALSE #> 7810   489 1.2438654 0.335909184  fv      Gamma   Cox, Log-Normal    FALSE #> 7826   490 1.6108304 0.304536731  fv      Gamma   Cox, Log-Normal     TRUE #> 7842   491 0.8306550 0.168517444  fv      Gamma   Cox, Log-Normal    FALSE #> 7858   492 1.2528581 0.347548040  fv      Gamma   Cox, Log-Normal    FALSE #> 7874   493 1.1141412 0.417141114  fv      Gamma   Cox, Log-Normal     TRUE #> 7890   494 0.8588516 0.179209258  fv      Gamma   Cox, Log-Normal    FALSE #> 7906   495 0.9641937 0.220531498  fv      Gamma   Cox, Log-Normal    FALSE #> 7922   496 0.6759623 0.166289250  fv      Gamma   Cox, Log-Normal    FALSE #> 7938   497 0.9033618 0.200323244  fv      Gamma   Cox, Log-Normal    FALSE #> 7954   498 0.8062435 0.190505432  fv      Gamma   Cox, Log-Normal    FALSE #> 7970   499 1.0779911 0.255751410  fv      Gamma   Cox, Log-Normal    FALSE #> 7986   500 1.2670375 0.297555986  fv      Gamma   Cox, Log-Normal    FALSE #> 8002   501 0.8648506 0.180810911  fv      Gamma   Cox, Log-Normal    FALSE #> 8018   502 1.0364983 0.208051259  fv      Gamma   Cox, Log-Normal    FALSE #> 8034   503 0.7537958 0.149464952  fv      Gamma   Cox, Log-Normal    FALSE #> 8050   504 1.2053252 0.210116068  fv      Gamma   Cox, Log-Normal    FALSE #> 8066   505 1.4316809 0.361150122  fv      Gamma   Cox, Log-Normal    FALSE #> 8082   506 0.8599211 0.164904216  fv      Gamma   Cox, Log-Normal    FALSE #> 8098   507 0.6803896 0.132319900  fv      Gamma   Cox, Log-Normal    FALSE #> 8114   508 0.8321579 0.174584707  fv      Gamma   Cox, Log-Normal    FALSE #> 8130   509 0.8577265 0.171261565  fv      Gamma   Cox, Log-Normal    FALSE #> 8146   510 1.0840758 0.191525801  fv      Gamma   Cox, Log-Normal    FALSE #> 8162   511 0.9751571 0.228962046  fv      Gamma   Cox, Log-Normal    FALSE #> 8178   512 0.9171955 0.141575466  fv      Gamma   Cox, Log-Normal    FALSE #> 8194   513 0.7704456 0.179734941  fv      Gamma   Cox, Log-Normal    FALSE #> 8210   514 0.9767960 0.270516974  fv      Gamma   Cox, Log-Normal    FALSE #> 8226   515 0.8482220 0.193164393  fv      Gamma   Cox, Log-Normal    FALSE #> 8242   516 1.0376892 0.256220330  fv      Gamma   Cox, Log-Normal    FALSE #> 8258   517 1.1357326 0.273350115  fv      Gamma   Cox, Log-Normal    FALSE #> 8274   518 1.2253076 0.238917068  fv      Gamma   Cox, Log-Normal    FALSE #> 8290   519 0.8713882 0.184042855  fv      Gamma   Cox, Log-Normal    FALSE #> 8306   520 0.7926449 0.167454593  fv      Gamma   Cox, Log-Normal    FALSE #> 8322   521 0.7127690 0.140016713  fv      Gamma   Cox, Log-Normal    FALSE #> 8338   522 0.6570335 0.147981785  fv      Gamma   Cox, Log-Normal    FALSE #> 8354   523 0.9035491 0.240796228  fv      Gamma   Cox, Log-Normal    FALSE #> 8370   524 0.7910639 0.197298251  fv      Gamma   Cox, Log-Normal    FALSE #> 8386   525 1.3295251 0.263165691  fv      Gamma   Cox, Log-Normal    FALSE #> 8402   526 1.1085831 0.260362630  fv      Gamma   Cox, Log-Normal    FALSE #> 8418   527 0.9930652 0.328052452  fv      Gamma   Cox, Log-Normal    FALSE #> 8434   528 0.7418328 0.169881227  fv      Gamma   Cox, Log-Normal    FALSE #> 8450   529 1.2037156 0.256995886  fv      Gamma   Cox, Log-Normal    FALSE #> 8466   530 1.3353275 0.308725331  fv      Gamma   Cox, Log-Normal    FALSE #> 8482   531 1.0724559 0.185489763  fv      Gamma   Cox, Log-Normal    FALSE #> 8498   532 1.1767181 0.288783024  fv      Gamma   Cox, Log-Normal    FALSE #> 8514   533 0.9461511 0.224624441  fv      Gamma   Cox, Log-Normal    FALSE #> 8530   534 1.0525213 0.206749296  fv      Gamma   Cox, Log-Normal    FALSE #> 8546   535 1.4301389 0.327696069  fv      Gamma   Cox, Log-Normal    FALSE #> 8562   536 1.0021084 0.171694724  fv      Gamma   Cox, Log-Normal    FALSE #> 8578   537 0.9908633 0.334784893  fv      Gamma   Cox, Log-Normal    FALSE #> 8594   538 0.7459350 0.166232904  fv      Gamma   Cox, Log-Normal    FALSE #> 8610   539 1.1963909 0.302554905  fv      Gamma   Cox, Log-Normal    FALSE #> 8626   540 1.0600937 0.334538983  fv      Gamma   Cox, Log-Normal    FALSE #> 8642   541 0.7824209 0.191635059  fv      Gamma   Cox, Log-Normal    FALSE #> 8658   542 1.0469726 0.186010712  fv      Gamma   Cox, Log-Normal    FALSE #> 8674   543 1.1353147 0.200048549  fv      Gamma   Cox, Log-Normal    FALSE #> 8690   544 1.0727346 0.223928441  fv      Gamma   Cox, Log-Normal    FALSE #> 8706   545 0.9542188 0.258825073  fv      Gamma   Cox, Log-Normal    FALSE #> 8722   546 0.7626356 0.145367051  fv      Gamma   Cox, Log-Normal    FALSE #> 8738   547 0.7998809 0.146606750  fv      Gamma   Cox, Log-Normal    FALSE #> 8754   548 0.8468470 0.311423205  fv      Gamma   Cox, Log-Normal    FALSE #> 8770   549 1.0343320 0.291774386  fv      Gamma   Cox, Log-Normal    FALSE #> 8786   550 1.3436451 0.531137533  fv      Gamma   Cox, Log-Normal     TRUE #> 8802   551 0.9109458 0.190163812  fv      Gamma   Cox, Log-Normal    FALSE #> 8818   552 0.7473400 0.168944580  fv      Gamma   Cox, Log-Normal    FALSE #> 8834   553 0.7435618 0.152999604  fv      Gamma   Cox, Log-Normal    FALSE #> 8850   554 0.9450358 0.248564971  fv      Gamma   Cox, Log-Normal    FALSE #> 8866   555 0.6737041 0.126162135  fv      Gamma   Cox, Log-Normal    FALSE #> 8882   556 0.6772282 0.151785951  fv      Gamma   Cox, Log-Normal    FALSE #> 8898   557 1.6904828 0.395312396  fv      Gamma   Cox, Log-Normal     TRUE #> 8914   558 1.0339234 0.212529669  fv      Gamma   Cox, Log-Normal    FALSE #> 8930   559 0.7993772 0.259858142  fv      Gamma   Cox, Log-Normal    FALSE #> 8946   560 0.9719681 0.242674636  fv      Gamma   Cox, Log-Normal    FALSE #> 8962   561 1.0261247 0.212406152  fv      Gamma   Cox, Log-Normal    FALSE #> 8978   562 0.5757420 0.150997039  fv      Gamma   Cox, Log-Normal    FALSE #> 8994   563 1.0409490 0.228433773  fv      Gamma   Cox, Log-Normal    FALSE #> 9010   564 1.0615467 0.193348628  fv      Gamma   Cox, Log-Normal    FALSE #> 9026   565 1.1679880 0.390837268  fv      Gamma   Cox, Log-Normal     TRUE #> 9042   566 1.2199602 0.278996060  fv      Gamma   Cox, Log-Normal    FALSE #> 9058   567 0.9822957 0.244996294  fv      Gamma   Cox, Log-Normal    FALSE #> 9074   568 1.0201589 0.280017514  fv      Gamma   Cox, Log-Normal    FALSE #> 9090   569 0.9406773 0.270807399  fv      Gamma   Cox, Log-Normal    FALSE #> 9106   570 0.9279776 0.161765327  fv      Gamma   Cox, Log-Normal    FALSE #> 9122   571 0.9326456 0.179721507  fv      Gamma   Cox, Log-Normal    FALSE #> 9138   572 1.1013126 0.198471955  fv      Gamma   Cox, Log-Normal    FALSE #> 9154   573 0.6222332 0.126446396  fv      Gamma   Cox, Log-Normal    FALSE #> 9170   574 1.1432237 0.294379732  fv      Gamma   Cox, Log-Normal    FALSE #> 9186   575 0.9600009 0.226550540  fv      Gamma   Cox, Log-Normal    FALSE #> 9202   576 1.0609559 0.287309234  fv      Gamma   Cox, Log-Normal    FALSE #> 9218   577 0.9115962 0.250289364  fv      Gamma   Cox, Log-Normal    FALSE #> 9234   578 0.9202321 0.181635402  fv      Gamma   Cox, Log-Normal    FALSE #> 9250   579 0.7970005 0.198574996  fv      Gamma   Cox, Log-Normal    FALSE #> 9266   580 0.8541770 0.199446336  fv      Gamma   Cox, Log-Normal    FALSE #> 9282   581 1.1327424 0.203938321  fv      Gamma   Cox, Log-Normal    FALSE #> 9298   582 0.5324844 0.110727241  fv      Gamma   Cox, Log-Normal    FALSE #> 9314   583 1.2170472 0.265887560  fv      Gamma   Cox, Log-Normal    FALSE #> 9330   584 0.7405038 0.190327265  fv      Gamma   Cox, Log-Normal    FALSE #> 9346   585 1.4674663 0.296880097  fv      Gamma   Cox, Log-Normal     TRUE #> 9362   586 1.3357663 0.233595693  fv      Gamma   Cox, Log-Normal    FALSE #> 9378   587 1.0434712 0.197298685  fv      Gamma   Cox, Log-Normal    FALSE #> 9394   588 1.0601227 0.260760641  fv      Gamma   Cox, Log-Normal    FALSE #> 9410   589 0.7426001 0.163007177  fv      Gamma   Cox, Log-Normal    FALSE #> 9426   590 0.8895731 0.197968824  fv      Gamma   Cox, Log-Normal    FALSE #> 9442   591 0.9799824 0.254028822  fv      Gamma   Cox, Log-Normal    FALSE #> 9458   592 1.2819594 0.227298189  fv      Gamma   Cox, Log-Normal    FALSE #> 9474   593 0.9126781 0.272510318  fv      Gamma   Cox, Log-Normal    FALSE #> 9490   594 0.9415930 0.242944719  fv      Gamma   Cox, Log-Normal    FALSE #> 9506   595 0.8669225 0.154822055  fv      Gamma   Cox, Log-Normal    FALSE #> 9522   596 1.2023114 0.234135962  fv      Gamma   Cox, Log-Normal    FALSE #> 9538   597 1.1852910 0.306402855  fv      Gamma   Cox, Log-Normal    FALSE #> 9554   598 1.0144108 0.236994186  fv      Gamma   Cox, Log-Normal    FALSE #> 9570   599 1.5141491 0.267682298  fv      Gamma   Cox, Log-Normal     TRUE #> 9586   600 1.3093034 0.231071705  fv      Gamma   Cox, Log-Normal    FALSE #> 9602   601 0.9685267 0.220530237  fv      Gamma   Cox, Log-Normal    FALSE #> 9618   602 0.9567572 0.270622698  fv      Gamma   Cox, Log-Normal    FALSE #> 9634   603 0.9007697 0.220945058  fv      Gamma   Cox, Log-Normal    FALSE #> 9650   604 1.2452340 0.442246635  fv      Gamma   Cox, Log-Normal     TRUE #> 9666   605 1.2222252 0.357745466  fv      Gamma   Cox, Log-Normal    FALSE #> 9682   606 1.0475542 0.230114466  fv      Gamma   Cox, Log-Normal    FALSE #> 9698   607 0.8173250 0.184012955  fv      Gamma   Cox, Log-Normal    FALSE #> 9714   608 1.0264445 0.211869827  fv      Gamma   Cox, Log-Normal    FALSE #> 9730   609 1.3393035 0.328197864  fv      Gamma   Cox, Log-Normal    FALSE #> 9746   610 1.1612145 0.269944445  fv      Gamma   Cox, Log-Normal    FALSE #> 9762   611 0.8716488 0.218240481  fv      Gamma   Cox, Log-Normal    FALSE #> 9778   612 1.2478780 0.254679202  fv      Gamma   Cox, Log-Normal    FALSE #> 9794   613 0.9089129 0.180981311  fv      Gamma   Cox, Log-Normal    FALSE #> 9810   614 0.8236289 0.176298875  fv      Gamma   Cox, Log-Normal    FALSE #> 9826   615 0.7781034 0.172342440  fv      Gamma   Cox, Log-Normal    FALSE #> 9842   616 1.3207941 0.299666982  fv      Gamma   Cox, Log-Normal    FALSE #> 9858   617 1.3523404 0.308465331  fv      Gamma   Cox, Log-Normal    FALSE #> 9874   618 0.7054131 0.154359305  fv      Gamma   Cox, Log-Normal    FALSE #> 9890   619 0.7621622 0.144288017  fv      Gamma   Cox, Log-Normal    FALSE #> 9906   620 0.9294349 0.245020462  fv      Gamma   Cox, Log-Normal    FALSE #> 9922   621 1.0852212 0.238577452  fv      Gamma   Cox, Log-Normal    FALSE #> 9938   622 1.6889800 0.375733753  fv      Gamma   Cox, Log-Normal     TRUE #> 9954   623 0.6497480 0.112506675  fv      Gamma   Cox, Log-Normal    FALSE #> 9970   624 0.9417119 0.185039732  fv      Gamma   Cox, Log-Normal    FALSE #> 9986   625 0.9615533 0.250108888  fv      Gamma   Cox, Log-Normal    FALSE #> 10002  626 0.6491316 0.143634254  fv      Gamma   Cox, Log-Normal    FALSE #> 10018  627 0.7991016 0.265477031  fv      Gamma   Cox, Log-Normal    FALSE #> 10034  628 0.9209861 0.166585647  fv      Gamma   Cox, Log-Normal    FALSE #> 10050  629 0.7470039 0.203007785  fv      Gamma   Cox, Log-Normal    FALSE #> 10066  630 1.0690011 0.196367163  fv      Gamma   Cox, Log-Normal    FALSE #> 10082  631 1.2764893 0.441219524  fv      Gamma   Cox, Log-Normal     TRUE #> 10098  632 0.6869833 0.163540177  fv      Gamma   Cox, Log-Normal    FALSE #> 10114  633 0.7001066 0.175297359  fv      Gamma   Cox, Log-Normal    FALSE #> 10130  634 0.7032764 0.156311954  fv      Gamma   Cox, Log-Normal    FALSE #> 10146  635 0.5491568 0.134395251  fv      Gamma   Cox, Log-Normal    FALSE #> 10162  636 0.8513401 0.270874157  fv      Gamma   Cox, Log-Normal    FALSE #> 10178  637 0.9566533 0.176784838  fv      Gamma   Cox, Log-Normal    FALSE #> 10194  638 0.7933296 0.280428246  fv      Gamma   Cox, Log-Normal    FALSE #> 10210  639 0.8824408 0.186779642  fv      Gamma   Cox, Log-Normal    FALSE #> 10226  640 0.6936361 0.161515249  fv      Gamma   Cox, Log-Normal    FALSE #> 10242  641 0.8355947 0.150330827  fv      Gamma   Cox, Log-Normal    FALSE #> 10258  642 0.9279600 0.209555469  fv      Gamma   Cox, Log-Normal    FALSE #> 10274  643 0.8074046 0.197113858  fv      Gamma   Cox, Log-Normal    FALSE #> 10290  644 1.3611674 0.423889750  fv      Gamma   Cox, Log-Normal     TRUE #> 10306  645 0.6554522 0.148982743  fv      Gamma   Cox, Log-Normal    FALSE #> 10322  646 0.7228923 0.181773449  fv      Gamma   Cox, Log-Normal    FALSE #> 10338  647 1.8011240 0.416701461  fv      Gamma   Cox, Log-Normal     TRUE #> 10354  648 0.9024813 0.147263424  fv      Gamma   Cox, Log-Normal    FALSE #> 10370  649 1.1228993 0.247566629  fv      Gamma   Cox, Log-Normal    FALSE #> 10386  650 1.3658269 0.347823938  fv      Gamma   Cox, Log-Normal    FALSE #> 10402  651 1.3826703 0.312517206  fv      Gamma   Cox, Log-Normal    FALSE #> 10418  652 0.9966013 0.263252969  fv      Gamma   Cox, Log-Normal    FALSE #> 10434  653 1.3938498 0.378569327  fv      Gamma   Cox, Log-Normal    FALSE #> 10450  654 0.7498765 0.198991232  fv      Gamma   Cox, Log-Normal    FALSE #> 10466  655 0.8188198 0.148632081  fv      Gamma   Cox, Log-Normal    FALSE #> 10482  656 0.9838947 0.237718941  fv      Gamma   Cox, Log-Normal    FALSE #> 10498  657 0.9509122 0.222243095  fv      Gamma   Cox, Log-Normal    FALSE #> 10514  658 1.0495215 0.221859992  fv      Gamma   Cox, Log-Normal    FALSE #> 10530  659 1.1024600 0.246582294  fv      Gamma   Cox, Log-Normal    FALSE #> 10546  660 1.1214802 0.345331077  fv      Gamma   Cox, Log-Normal    FALSE #> 10562  661 0.8252543 0.208741101  fv      Gamma   Cox, Log-Normal    FALSE #> 10578  662 0.5439256 0.113712777  fv      Gamma   Cox, Log-Normal    FALSE #> 10594  663 0.7762586 0.185818017  fv      Gamma   Cox, Log-Normal    FALSE #> 10610  664 0.9321685 0.141486786  fv      Gamma   Cox, Log-Normal    FALSE #> 10626  665 0.9641151 0.245897886  fv      Gamma   Cox, Log-Normal    FALSE #> 10642  666 0.9707480 0.281544181  fv      Gamma   Cox, Log-Normal    FALSE #> 10658  667 1.1775076 0.327488577  fv      Gamma   Cox, Log-Normal    FALSE #> 10674  668 1.2100674 0.383647041  fv      Gamma   Cox, Log-Normal    FALSE #> 10690  669 0.7079595 0.202483076  fv      Gamma   Cox, Log-Normal    FALSE #> 10706  670 1.1701748 0.308158336  fv      Gamma   Cox, Log-Normal    FALSE #> 10722  671 1.2338212 0.274821951  fv      Gamma   Cox, Log-Normal    FALSE #> 10738  672 0.7795158 0.186065151  fv      Gamma   Cox, Log-Normal    FALSE #> 10754  673 0.8208763 0.152826786  fv      Gamma   Cox, Log-Normal    FALSE #> 10770  674 1.3740360 0.392376078  fv      Gamma   Cox, Log-Normal     TRUE #> 10786  675 0.9580433 0.177217021  fv      Gamma   Cox, Log-Normal    FALSE #> 10802  676 0.6479120 0.215451916  fv      Gamma   Cox, Log-Normal    FALSE #> 10818  677 0.8237457 0.173619019  fv      Gamma   Cox, Log-Normal    FALSE #> 10834  678 1.1448183 0.294799498  fv      Gamma   Cox, Log-Normal    FALSE #> 10850  679 1.4160710 0.319465728  fv      Gamma   Cox, Log-Normal    FALSE #> 10866  680 1.0010333 0.366282201  fv      Gamma   Cox, Log-Normal    FALSE #> 10882  681 0.7361065 0.213144710  fv      Gamma   Cox, Log-Normal    FALSE #> 10898  682 0.9640440 0.204357977  fv      Gamma   Cox, Log-Normal    FALSE #> 10914  683 1.1832964 0.328296114  fv      Gamma   Cox, Log-Normal    FALSE #> 10930  684 1.2352413 0.256935059  fv      Gamma   Cox, Log-Normal    FALSE #> 10946  685 0.8576592 0.208323295  fv      Gamma   Cox, Log-Normal    FALSE #> 10962  686 0.6559387 0.148327340  fv      Gamma   Cox, Log-Normal    FALSE #> 10978  687 1.3955422 0.274232845  fv      Gamma   Cox, Log-Normal    FALSE #> 10994  688 0.9477181 0.185695063  fv      Gamma   Cox, Log-Normal    FALSE #> 11010  689 0.8098337 0.146404742  fv      Gamma   Cox, Log-Normal    FALSE #> 11026  690 1.2282291 0.224138226  fv      Gamma   Cox, Log-Normal    FALSE #> 11042  691 1.0052381 0.169059700  fv      Gamma   Cox, Log-Normal    FALSE #> 11058  692 0.9559934 0.175651808  fv      Gamma   Cox, Log-Normal    FALSE #> 11074  693 1.3037994 0.320750495  fv      Gamma   Cox, Log-Normal    FALSE #> 11090  694 1.0887350 0.262845102  fv      Gamma   Cox, Log-Normal    FALSE #> 11106  695 1.0245538 0.316179341  fv      Gamma   Cox, Log-Normal    FALSE #> 11122  696 1.0057025 0.279965660  fv      Gamma   Cox, Log-Normal    FALSE #> 11138  697 1.0332112 0.228229709  fv      Gamma   Cox, Log-Normal    FALSE #> 11154  698 1.0008029 0.230392985  fv      Gamma   Cox, Log-Normal    FALSE #> 11170  699 0.9448768 0.148606204  fv      Gamma   Cox, Log-Normal    FALSE #> 11186  700 1.6100507 0.301322970  fv      Gamma   Cox, Log-Normal     TRUE #> 11202  701 0.8168552 0.166749623  fv      Gamma   Cox, Log-Normal    FALSE #> 11218  702 0.7951008 0.229465092  fv      Gamma   Cox, Log-Normal    FALSE #> 11234  703 0.7124699 0.176676006  fv      Gamma   Cox, Log-Normal    FALSE #> 11250  704 1.2850043 0.227968238  fv      Gamma   Cox, Log-Normal    FALSE #> 11266  705 1.4407282 0.311041525  fv      Gamma   Cox, Log-Normal    FALSE #> 11282  706 1.0292844 0.184432785  fv      Gamma   Cox, Log-Normal    FALSE #> 11298  707 0.7592113 0.220094759  fv      Gamma   Cox, Log-Normal    FALSE #> 11314  708 1.1536924 0.378570168  fv      Gamma   Cox, Log-Normal    FALSE #> 11330  709 0.9301348 0.152019700  fv      Gamma   Cox, Log-Normal    FALSE #> 11346  710 0.9747393 0.152258390  fv      Gamma   Cox, Log-Normal    FALSE #> 11362  711 0.4419933 0.091587040  fv      Gamma   Cox, Log-Normal     TRUE #> 11378  712 0.9574598 0.232824090  fv      Gamma   Cox, Log-Normal    FALSE #> 11394  713 0.9989393 0.196517724  fv      Gamma   Cox, Log-Normal    FALSE #> 11410  714 1.2846766 0.430198645  fv      Gamma   Cox, Log-Normal     TRUE #> 11426  715 1.3765564 0.287137467  fv      Gamma   Cox, Log-Normal    FALSE #> 11442  716 1.0736204 0.271160711  fv      Gamma   Cox, Log-Normal    FALSE #> 11458  717 0.8447250 0.275879055  fv      Gamma   Cox, Log-Normal    FALSE #> 11474  718 1.0081585 0.250844357  fv      Gamma   Cox, Log-Normal    FALSE #> 11490  719 0.7888853 0.143021641  fv      Gamma   Cox, Log-Normal    FALSE #> 11506  720 0.8275914 0.169821218  fv      Gamma   Cox, Log-Normal    FALSE #> 11522  721 1.0362940 0.250343175  fv      Gamma   Cox, Log-Normal    FALSE #> 11538  722 1.2802454 0.333262567  fv      Gamma   Cox, Log-Normal    FALSE #> 11554  723 1.0636312 0.323034788  fv      Gamma   Cox, Log-Normal    FALSE #> 11570  724 0.7908268 0.162506524  fv      Gamma   Cox, Log-Normal    FALSE #> 11586  725 0.8741268 0.195905074  fv      Gamma   Cox, Log-Normal    FALSE #> 11602  726 0.7664078 0.217471393  fv      Gamma   Cox, Log-Normal    FALSE #> 11618  727 1.1345593 0.312048852  fv      Gamma   Cox, Log-Normal    FALSE #> 11634  728 0.6815268 0.256231339  fv      Gamma   Cox, Log-Normal    FALSE #> 11650  729 1.0012762 0.190967467  fv      Gamma   Cox, Log-Normal    FALSE #> 11666  730 1.3645868 0.417363902  fv      Gamma   Cox, Log-Normal     TRUE #> 11682  731 1.4012566 0.325484691  fv      Gamma   Cox, Log-Normal    FALSE #> 11698  732 1.2333383 0.213696113  fv      Gamma   Cox, Log-Normal    FALSE #> 11714  733 0.7422468 0.180001456  fv      Gamma   Cox, Log-Normal    FALSE #> 11730  734 0.7656523 0.212408503  fv      Gamma   Cox, Log-Normal    FALSE #> 11746  735 1.1366086 0.281915857  fv      Gamma   Cox, Log-Normal    FALSE #> 11762  736 1.0835050 0.304493693  fv      Gamma   Cox, Log-Normal    FALSE #> 11778  737 0.9811711 0.246886659  fv      Gamma   Cox, Log-Normal    FALSE #> 11794  738 0.8368011 0.340475523  fv      Gamma   Cox, Log-Normal    FALSE #> 11810  739 0.9087165 0.200542432  fv      Gamma   Cox, Log-Normal    FALSE #> 11826  740 0.8700050 0.193399163  fv      Gamma   Cox, Log-Normal    FALSE #> 11842  741 1.0493966 0.242318925  fv      Gamma   Cox, Log-Normal    FALSE #> 11858  742 0.7285165 0.152167499  fv      Gamma   Cox, Log-Normal    FALSE #> 11874  743 1.0809077 0.253157125  fv      Gamma   Cox, Log-Normal    FALSE #> 11890  744 1.3116924 0.349032088  fv      Gamma   Cox, Log-Normal    FALSE #> 11906  745 0.8668810 0.255673856  fv      Gamma   Cox, Log-Normal    FALSE #> 11922  746 0.5031063 0.086395670  fv      Gamma   Cox, Log-Normal    FALSE #> 11938  747 0.8514091 0.212312538  fv      Gamma   Cox, Log-Normal    FALSE #> 11954  748 1.0763630 0.181266049  fv      Gamma   Cox, Log-Normal    FALSE #> 11970  749 0.8902869 0.251796213  fv      Gamma   Cox, Log-Normal    FALSE #> 11986  750 0.6972912 0.147370632  fv      Gamma   Cox, Log-Normal    FALSE #> 12002  751 1.1695505 0.209407579  fv      Gamma   Cox, Log-Normal    FALSE #> 12018  752 1.0586978 0.231401972  fv      Gamma   Cox, Log-Normal    FALSE #> 12034  753 0.7359262 0.219724376  fv      Gamma   Cox, Log-Normal    FALSE #> 12050  754 1.0893551 0.230029873  fv      Gamma   Cox, Log-Normal    FALSE #> 12066  755 0.9971904 0.175161437  fv      Gamma   Cox, Log-Normal    FALSE #> 12082  756 1.5691599 0.295112101  fv      Gamma   Cox, Log-Normal     TRUE #> 12098  757 0.7713164 0.186796598  fv      Gamma   Cox, Log-Normal    FALSE #> 12114  758 0.6428408 0.152198490  fv      Gamma   Cox, Log-Normal    FALSE #> 12130  759 0.7885099 0.154161821  fv      Gamma   Cox, Log-Normal    FALSE #> 12146  760 0.7606324 0.162254956  fv      Gamma   Cox, Log-Normal    FALSE #> 12162  761 1.0477843 0.279182770  fv      Gamma   Cox, Log-Normal    FALSE #> 12178  762 0.8354850 0.168909484  fv      Gamma   Cox, Log-Normal    FALSE #> 12194  763 0.7569949 0.166489594  fv      Gamma   Cox, Log-Normal    FALSE #> 12210  764 0.9842876 0.267116745  fv      Gamma   Cox, Log-Normal    FALSE #> 12226  765 0.7749107 0.196827870  fv      Gamma   Cox, Log-Normal    FALSE #> 12242  766 0.6556944 0.126006011  fv      Gamma   Cox, Log-Normal    FALSE #> 12258  767 0.9765773 0.221128587  fv      Gamma   Cox, Log-Normal    FALSE #> 12274  768 1.0265077 0.226275490  fv      Gamma   Cox, Log-Normal    FALSE #> 12290  769 1.0165964 0.206041439  fv      Gamma   Cox, Log-Normal    FALSE #> 12306  770 0.7551010 0.216493504  fv      Gamma   Cox, Log-Normal    FALSE #> 12322  771 0.6450434 0.111705699  fv      Gamma   Cox, Log-Normal    FALSE #> 12338  772 1.1912443 0.351233857  fv      Gamma   Cox, Log-Normal    FALSE #> 12354  773 0.8052817 0.219677124  fv      Gamma   Cox, Log-Normal    FALSE #> 12370  774 0.9495006 0.183682679  fv      Gamma   Cox, Log-Normal    FALSE #> 12386  775 1.4295249 0.357730455  fv      Gamma   Cox, Log-Normal    FALSE #> 12402  776 0.9464133 0.161655065  fv      Gamma   Cox, Log-Normal    FALSE #> 12418  777 0.7990472 0.188022633  fv      Gamma   Cox, Log-Normal    FALSE #> 12434  778 1.1233230 0.279950067  fv      Gamma   Cox, Log-Normal    FALSE #> 12450  779 1.1826743 0.287929833  fv      Gamma   Cox, Log-Normal    FALSE #> 12466  780 1.1225019 0.260847577  fv      Gamma   Cox, Log-Normal    FALSE #> 12482  781 0.8087508 0.219948457  fv      Gamma   Cox, Log-Normal    FALSE #> 12498  782 0.9323221 0.354579850  fv      Gamma   Cox, Log-Normal    FALSE #> 12514  783 0.9546923 0.172823948  fv      Gamma   Cox, Log-Normal    FALSE #> 12530  784 0.8109267 0.135871785  fv      Gamma   Cox, Log-Normal    FALSE #> 12546  785 0.8227292 0.153966550  fv      Gamma   Cox, Log-Normal    FALSE #> 12562  786 1.0155313 0.221229923  fv      Gamma   Cox, Log-Normal    FALSE #> 12578  787 1.2265997 0.381780641  fv      Gamma   Cox, Log-Normal    FALSE #> 12594  788 0.9968011 0.271020910  fv      Gamma   Cox, Log-Normal    FALSE #> 12610  789 0.9961110 0.264108258  fv      Gamma   Cox, Log-Normal    FALSE #> 12626  790 1.3866559 0.403052216  fv      Gamma   Cox, Log-Normal     TRUE #> 12642  791 1.2942187 0.345936087  fv      Gamma   Cox, Log-Normal    FALSE #> 12658  792 1.3274802 0.294559219  fv      Gamma   Cox, Log-Normal    FALSE #> 12674  793 0.8710422 0.188337532  fv      Gamma   Cox, Log-Normal    FALSE #> 12690  794 0.4656342 0.086212385  fv      Gamma   Cox, Log-Normal     TRUE #> 12706  795 0.9488004 0.249943737  fv      Gamma   Cox, Log-Normal    FALSE #> 12722  796 1.0833683 0.238579911  fv      Gamma   Cox, Log-Normal    FALSE #> 12738  797 0.7134433 0.174971445  fv      Gamma   Cox, Log-Normal    FALSE #> 12754  798 0.7488683 0.203887403  fv      Gamma   Cox, Log-Normal    FALSE #> 12770  799 1.4826244 0.460159427  fv      Gamma   Cox, Log-Normal     TRUE #> 12786  800 1.2555919 0.228477636  fv      Gamma   Cox, Log-Normal    FALSE #> 12802  801 0.7767814 0.216792490  fv      Gamma   Cox, Log-Normal    FALSE #> 12818  802 0.8039006 0.143589898  fv      Gamma   Cox, Log-Normal    FALSE #> 12834  803 0.9486562 0.154256665  fv      Gamma   Cox, Log-Normal    FALSE #> 12850  804 1.0328948 0.231771198  fv      Gamma   Cox, Log-Normal    FALSE #> 12866  805 0.9798605 0.228212803  fv      Gamma   Cox, Log-Normal    FALSE #> 12882  806 0.7306827 0.144691202  fv      Gamma   Cox, Log-Normal    FALSE #> 12898  807 1.2700539 0.278143788  fv      Gamma   Cox, Log-Normal    FALSE #> 12914  808 0.9736841 0.293168234  fv      Gamma   Cox, Log-Normal    FALSE #> 12930  809 1.3303860 0.442691890  fv      Gamma   Cox, Log-Normal     TRUE #> 12946  810 0.9218010 0.172303136  fv      Gamma   Cox, Log-Normal    FALSE #> 12962  811 1.3147421 0.258687544  fv      Gamma   Cox, Log-Normal    FALSE #> 12978  812 0.8372171 0.211667829  fv      Gamma   Cox, Log-Normal    FALSE #> 12994  813 1.1669162 0.244223344  fv      Gamma   Cox, Log-Normal    FALSE #> 13010  814 0.9559600 0.260826010  fv      Gamma   Cox, Log-Normal    FALSE #> 13026  815 1.4235527 0.327459602  fv      Gamma   Cox, Log-Normal    FALSE #> 13042  816 0.7081849 0.196971428  fv      Gamma   Cox, Log-Normal    FALSE #> 13058  817 1.2131452 0.372971263  fv      Gamma   Cox, Log-Normal    FALSE #> 13074  818 0.8741341 0.256450653  fv      Gamma   Cox, Log-Normal    FALSE #> 13090  819 1.3459854 0.408062364  fv      Gamma   Cox, Log-Normal     TRUE #> 13106  820 0.8721563 0.225198849  fv      Gamma   Cox, Log-Normal    FALSE #> 13122  821 0.9494623 0.270727048  fv      Gamma   Cox, Log-Normal    FALSE #> 13138  822 0.6048632 0.109814168  fv      Gamma   Cox, Log-Normal    FALSE #> 13154  823 1.0187693 0.277289565  fv      Gamma   Cox, Log-Normal    FALSE #> 13170  824 0.9878398 0.232512666  fv      Gamma   Cox, Log-Normal    FALSE #> 13186  825 0.6361843 0.116639807  fv      Gamma   Cox, Log-Normal    FALSE #> 13202  826 0.9407440 0.186621880  fv      Gamma   Cox, Log-Normal    FALSE #> 13218  827 0.9250230 0.206624297  fv      Gamma   Cox, Log-Normal    FALSE #> 13234  828 1.4586544 0.400674246  fv      Gamma   Cox, Log-Normal     TRUE #> 13250  829 0.7062700 0.123119510  fv      Gamma   Cox, Log-Normal    FALSE #> 13266  830 1.2702881 0.292952627  fv      Gamma   Cox, Log-Normal    FALSE #> 13282  831 0.7167738 0.210742781  fv      Gamma   Cox, Log-Normal    FALSE #> 13298  832 0.8667566 0.156346725  fv      Gamma   Cox, Log-Normal    FALSE #> 13314  833 0.9890096 0.226437277  fv      Gamma   Cox, Log-Normal    FALSE #> 13330  834 0.6529406 0.148180979  fv      Gamma   Cox, Log-Normal    FALSE #> 13346  835 0.9492850 0.219981130  fv      Gamma   Cox, Log-Normal    FALSE #> 13362  836 0.9453736 0.258429879  fv      Gamma   Cox, Log-Normal    FALSE #> 13378  837 0.9578582 0.272680782  fv      Gamma   Cox, Log-Normal    FALSE #> 13394  838 1.2202325 0.219416306  fv      Gamma   Cox, Log-Normal    FALSE #> 13410  839 0.7622538 0.136150062  fv      Gamma   Cox, Log-Normal    FALSE #> 13426  840 1.0482271 0.241604455  fv      Gamma   Cox, Log-Normal    FALSE #> 13442  841 0.9043676 0.148058562  fv      Gamma   Cox, Log-Normal    FALSE #> 13458  842 0.9913150 0.280168128  fv      Gamma   Cox, Log-Normal    FALSE #> 13474  843 1.3223045 0.330990887  fv      Gamma   Cox, Log-Normal    FALSE #> 13490  844 1.0021235 0.292823919  fv      Gamma   Cox, Log-Normal    FALSE #> 13506  845 1.4004414 0.318104284  fv      Gamma   Cox, Log-Normal    FALSE #> 13522  846 0.8416453 0.250660878  fv      Gamma   Cox, Log-Normal    FALSE #> 13538  847 0.8243172 0.288155697  fv      Gamma   Cox, Log-Normal    FALSE #> 13554  848 0.5899439 0.122537752  fv      Gamma   Cox, Log-Normal    FALSE #> 13570  849 0.9414000 0.178355553  fv      Gamma   Cox, Log-Normal    FALSE #> 13586  850 0.8407891 0.160878072  fv      Gamma   Cox, Log-Normal    FALSE #> 13602  851 0.9823066 0.238544662  fv      Gamma   Cox, Log-Normal    FALSE #> 13618  852 0.5618333 0.110283440  fv      Gamma   Cox, Log-Normal    FALSE #> 13634  853 0.9624791 0.197866836  fv      Gamma   Cox, Log-Normal    FALSE #> 13650  854 0.7179179 0.157504403  fv      Gamma   Cox, Log-Normal    FALSE #> 13666  855 1.2551276 0.310599897  fv      Gamma   Cox, Log-Normal    FALSE #> 13682  856 1.0833605 0.207529494  fv      Gamma   Cox, Log-Normal    FALSE #> 13698  857 0.7307127 0.179278420  fv      Gamma   Cox, Log-Normal    FALSE #> 13714  858 0.8702718 0.224544233  fv      Gamma   Cox, Log-Normal    FALSE #> 13730  859 0.8669632 0.270433850  fv      Gamma   Cox, Log-Normal    FALSE #> 13746  860 0.7547683 0.132468609  fv      Gamma   Cox, Log-Normal    FALSE #> 13762  861 1.1262160 0.257465167  fv      Gamma   Cox, Log-Normal    FALSE #> 13778  862 0.8389212 0.161464653  fv      Gamma   Cox, Log-Normal    FALSE #> 13794  863 1.0119069 0.212102924  fv      Gamma   Cox, Log-Normal    FALSE #> 13810  864 0.9537157 0.216189336  fv      Gamma   Cox, Log-Normal    FALSE #> 13826  865 1.0120405 0.205255774  fv      Gamma   Cox, Log-Normal    FALSE #> 13842  866 0.7974231 0.133804459  fv      Gamma   Cox, Log-Normal    FALSE #> 13858  867 0.9060825 0.156806604  fv      Gamma   Cox, Log-Normal    FALSE #> 13874  868 0.9688863 0.217092971  fv      Gamma   Cox, Log-Normal    FALSE #> 13890  869 1.0266109 0.254779900  fv      Gamma   Cox, Log-Normal    FALSE #> 13906  870 0.9479034 0.327682086  fv      Gamma   Cox, Log-Normal    FALSE #> 13922  871 1.2468126 0.291359832  fv      Gamma   Cox, Log-Normal    FALSE #> 13938  872 1.3083943 0.333635934  fv      Gamma   Cox, Log-Normal    FALSE #> 13954  873 1.1743319 0.209116592  fv      Gamma   Cox, Log-Normal    FALSE #> 13970  874 1.5305586 0.443951756  fv      Gamma   Cox, Log-Normal     TRUE #> 13986  875 0.7607191 0.145312089  fv      Gamma   Cox, Log-Normal    FALSE #> 14002  876 0.8779484 0.192866111  fv      Gamma   Cox, Log-Normal    FALSE #> 14018  877 0.9984085 0.211132798  fv      Gamma   Cox, Log-Normal    FALSE #> 14034  878 1.0891524 0.319090619  fv      Gamma   Cox, Log-Normal    FALSE #> 14050  879 0.8993115 0.342239070  fv      Gamma   Cox, Log-Normal    FALSE #> 14066  880 1.4072146 0.315934948  fv      Gamma   Cox, Log-Normal    FALSE #> 14082  881 1.1304945 0.294741363  fv      Gamma   Cox, Log-Normal    FALSE #> 14098  882 1.2693027 0.233265611  fv      Gamma   Cox, Log-Normal    FALSE #> 14114  883 0.7511724 0.169083381  fv      Gamma   Cox, Log-Normal    FALSE #> 14130  884 0.7769513 0.153621573  fv      Gamma   Cox, Log-Normal    FALSE #> 14146  885 0.7564225 0.181152611  fv      Gamma   Cox, Log-Normal    FALSE #> 14162  886 0.7533057 0.187639873  fv      Gamma   Cox, Log-Normal    FALSE #> 14178  887 0.9411945 0.197051463  fv      Gamma   Cox, Log-Normal    FALSE #> 14194  888 1.3209266 0.241801270  fv      Gamma   Cox, Log-Normal    FALSE #> 14210  889 1.0464163 0.206246274  fv      Gamma   Cox, Log-Normal    FALSE #> 14226  890 0.7922736 0.208611946  fv      Gamma   Cox, Log-Normal    FALSE #> 14242  891 0.6048097 0.093277354  fv      Gamma   Cox, Log-Normal    FALSE #> 14258  892 0.9090234 0.181751021  fv      Gamma   Cox, Log-Normal    FALSE #> 14274  893 1.1860418 0.343862998  fv      Gamma   Cox, Log-Normal    FALSE #> 14290  894 0.7139899 0.164547200  fv      Gamma   Cox, Log-Normal    FALSE #> 14306  895 0.8511802 0.176060960  fv      Gamma   Cox, Log-Normal    FALSE #> 14322  896 1.1897072 0.217763226  fv      Gamma   Cox, Log-Normal    FALSE #> 14338  897 0.8726068 0.157842972  fv      Gamma   Cox, Log-Normal    FALSE #> 14354  898 1.1845061 0.237803283  fv      Gamma   Cox, Log-Normal    FALSE #> 14370  899 1.0443795 0.246772790  fv      Gamma   Cox, Log-Normal    FALSE #> 14386  900 1.1583504 0.323680854  fv      Gamma   Cox, Log-Normal    FALSE #> 14402  901 0.7415650 0.170452452  fv      Gamma   Cox, Log-Normal    FALSE #> 14418  902 0.7003490 0.139088567  fv      Gamma   Cox, Log-Normal    FALSE #> 14434  903 0.7841447 0.149742194  fv      Gamma   Cox, Log-Normal    FALSE #> 14450  904 1.5901697 0.482677057  fv      Gamma   Cox, Log-Normal     TRUE #> 14466  905 0.7896432 0.138737460  fv      Gamma   Cox, Log-Normal    FALSE #> 14482  906 1.3915225 0.266295262  fv      Gamma   Cox, Log-Normal    FALSE #> 14498  907 1.0235347 0.258435199  fv      Gamma   Cox, Log-Normal    FALSE #> 14514  908 0.8794528 0.274871726  fv      Gamma   Cox, Log-Normal    FALSE #> 14530  909 0.7616585 0.153069885  fv      Gamma   Cox, Log-Normal    FALSE #> 14546  910 0.6709826 0.127266750  fv      Gamma   Cox, Log-Normal    FALSE #> 14562  911 0.9426690 0.305758226  fv      Gamma   Cox, Log-Normal    FALSE #> 14578  912 0.6876512 0.115011789  fv      Gamma   Cox, Log-Normal    FALSE #> 14594  913 0.9720124 0.200778297  fv      Gamma   Cox, Log-Normal    FALSE #> 14610  914 0.8574690 0.251944490  fv      Gamma   Cox, Log-Normal    FALSE #> 14626  915 1.1770862 0.283699685  fv      Gamma   Cox, Log-Normal    FALSE #> 14642  916 0.6674906 0.129719682  fv      Gamma   Cox, Log-Normal    FALSE #> 14658  917 1.0089240 0.301683903  fv      Gamma   Cox, Log-Normal    FALSE #> 14674  918 1.0180468 0.176241349  fv      Gamma   Cox, Log-Normal    FALSE #> 14690  919 0.6774361 0.111074751  fv      Gamma   Cox, Log-Normal    FALSE #> 14706  920 0.9816049 0.176035972  fv      Gamma   Cox, Log-Normal    FALSE #> 14722  921 1.1225462 0.265504818  fv      Gamma   Cox, Log-Normal    FALSE #> 14738  922 1.6005520 0.403568432  fv      Gamma   Cox, Log-Normal     TRUE #> 14754  923 0.9384639 0.171544257  fv      Gamma   Cox, Log-Normal    FALSE #> 14770  924 0.9551133 0.151122096  fv      Gamma   Cox, Log-Normal    FALSE #> 14786  925 1.2062083 0.344311268  fv      Gamma   Cox, Log-Normal    FALSE #> 14802  926 0.9341805 0.185300287  fv      Gamma   Cox, Log-Normal    FALSE #> 14818  927 0.5496008 0.113479221  fv      Gamma   Cox, Log-Normal    FALSE #> 14834  928 0.9298163 0.196767579  fv      Gamma   Cox, Log-Normal    FALSE #> 14850  929 1.0148063 0.250301564  fv      Gamma   Cox, Log-Normal    FALSE #> 14866  930 1.4671972 0.477190164  fv      Gamma   Cox, Log-Normal     TRUE #> 14882  931 0.9037657 0.193220022  fv      Gamma   Cox, Log-Normal    FALSE #> 14898  932 1.2131691 0.230914741  fv      Gamma   Cox, Log-Normal    FALSE #> 14914  933 0.7664552 0.172978498  fv      Gamma   Cox, Log-Normal    FALSE #> 14930  934 0.7235467 0.099478559  fv      Gamma   Cox, Log-Normal    FALSE #> 14946  935 0.5651276 0.109392225  fv      Gamma   Cox, Log-Normal    FALSE #> 14962  936 0.7738704 0.156934151  fv      Gamma   Cox, Log-Normal    FALSE #> 14978  937 1.4874432 0.363632319  fv      Gamma   Cox, Log-Normal     TRUE #> 14994  938 1.0628662 0.267143882  fv      Gamma   Cox, Log-Normal    FALSE #> 15010  939 1.0222365 0.192388758  fv      Gamma   Cox, Log-Normal    FALSE #> 15026  940 1.0277460 0.196087165  fv      Gamma   Cox, Log-Normal    FALSE #> 15042  941 0.8016317 0.159316442  fv      Gamma   Cox, Log-Normal    FALSE #> 15058  942 0.8411527 0.182284638  fv      Gamma   Cox, Log-Normal    FALSE #> 15074  943 0.5594256 0.113623496  fv      Gamma   Cox, Log-Normal    FALSE #> 15090  944 0.7729183 0.124686294  fv      Gamma   Cox, Log-Normal    FALSE #> 15106  945 0.7428305 0.151083868  fv      Gamma   Cox, Log-Normal    FALSE #> 15122  946 1.1677163 0.377504451  fv      Gamma   Cox, Log-Normal    FALSE #> 15138  947 0.8375811 0.210228463  fv      Gamma   Cox, Log-Normal    FALSE #> 15154  948 0.6906720 0.230450716  fv      Gamma   Cox, Log-Normal    FALSE #> 15170  949 0.8148721 0.226169057  fv      Gamma   Cox, Log-Normal    FALSE #> 15186  950 0.7721582 0.203677104  fv      Gamma   Cox, Log-Normal    FALSE #> 15202  951 0.9992324 0.220599272  fv      Gamma   Cox, Log-Normal    FALSE #> 15218  952 0.8222391 0.179491347  fv      Gamma   Cox, Log-Normal    FALSE #> 15234  953 1.6443296 0.391757692  fv      Gamma   Cox, Log-Normal     TRUE #> 15250  954 0.8622421 0.193926799  fv      Gamma   Cox, Log-Normal    FALSE #> 15266  955 1.0271637 0.198165599  fv      Gamma   Cox, Log-Normal    FALSE #> 15282  956 0.7877326 0.190345590  fv      Gamma   Cox, Log-Normal    FALSE #> 15298  957 0.7332077 0.170648591  fv      Gamma   Cox, Log-Normal    FALSE #> 15314  958 0.6742120 0.141736639  fv      Gamma   Cox, Log-Normal    FALSE #> 15330  959 0.8116423 0.176636628  fv      Gamma   Cox, Log-Normal    FALSE #> 15346  960 1.0381126 0.247132858  fv      Gamma   Cox, Log-Normal    FALSE #> 15362  961 0.6263490 0.119573651  fv      Gamma   Cox, Log-Normal    FALSE #> 15378  962 1.2298672 0.279659616  fv      Gamma   Cox, Log-Normal    FALSE #> 15394  963 1.3100317 0.351291999  fv      Gamma   Cox, Log-Normal    FALSE #> 15410  964 0.9385725 0.212853684  fv      Gamma   Cox, Log-Normal    FALSE #> 15426  965 0.7237833 0.136184000  fv      Gamma   Cox, Log-Normal    FALSE #> 15442  966 1.0774498 0.255201646  fv      Gamma   Cox, Log-Normal    FALSE #> 15458  967 0.8661890 0.186999729  fv      Gamma   Cox, Log-Normal    FALSE #> 15474  968 0.7440313 0.163577636  fv      Gamma   Cox, Log-Normal    FALSE #> 15490  969 1.0548245 0.323917765  fv      Gamma   Cox, Log-Normal    FALSE #> 15506  970 1.0335275 0.417785729  fv      Gamma   Cox, Log-Normal     TRUE #> 15522  971 0.8920170 0.217781465  fv      Gamma   Cox, Log-Normal    FALSE #> 15538  972 0.8443654 0.262375588  fv      Gamma   Cox, Log-Normal    FALSE #> 15554  973 1.4316470 0.431582164  fv      Gamma   Cox, Log-Normal     TRUE #> 15570  974 0.6408896 0.154553156  fv      Gamma   Cox, Log-Normal    FALSE #> 15586  975 0.5818109 0.121328131  fv      Gamma   Cox, Log-Normal    FALSE #> 15602  976 0.9803179 0.204723535  fv      Gamma   Cox, Log-Normal    FALSE #> 15618  977 1.1977389 0.247126848  fv      Gamma   Cox, Log-Normal    FALSE #> 15634  978 1.1178645 0.327386366  fv      Gamma   Cox, Log-Normal    FALSE #> 15650  979 1.2145658 0.344268311  fv      Gamma   Cox, Log-Normal    FALSE #> 15666  980 0.6638111 0.139988436  fv      Gamma   Cox, Log-Normal    FALSE #> 15682  981 0.9741935 0.298000366  fv      Gamma   Cox, Log-Normal    FALSE #> 15698  982 1.2667102 0.291885120  fv      Gamma   Cox, Log-Normal    FALSE #> 15714  983 0.6366284 0.142543764  fv      Gamma   Cox, Log-Normal    FALSE #> 15730  984 0.9916257 0.230161087  fv      Gamma   Cox, Log-Normal    FALSE #> 15746  985 1.1673924 0.329455282  fv      Gamma   Cox, Log-Normal    FALSE #> 15762  986 0.8093946 0.131512474  fv      Gamma   Cox, Log-Normal    FALSE #> 15778  987 0.6809663 0.166413324  fv      Gamma   Cox, Log-Normal    FALSE #> 15794  988 0.8090418 0.168468434  fv      Gamma   Cox, Log-Normal    FALSE #> 15810  989 1.1203963 0.254390270  fv      Gamma   Cox, Log-Normal    FALSE #> 15826  990 0.8937730 0.181708706  fv      Gamma   Cox, Log-Normal    FALSE #> 15842  991 1.0581390 0.254618273  fv      Gamma   Cox, Log-Normal    FALSE #> 15858  992 1.1236897 0.339523124  fv      Gamma   Cox, Log-Normal    FALSE #> 15874  993 1.4089872 0.331849490  fv      Gamma   Cox, Log-Normal    FALSE #> 15890  994 0.9304340 0.200697045  fv      Gamma   Cox, Log-Normal    FALSE #> 15906  995 0.9726530 0.218311522  fv      Gamma   Cox, Log-Normal    FALSE #> 15922  996 0.8111108 0.164699823  fv      Gamma   Cox, Log-Normal    FALSE #> 15938  997 0.7307507 0.230449780  fv      Gamma   Cox, Log-Normal    FALSE #> 15954  998 0.8727082 0.192062571  fv      Gamma   Cox, Log-Normal    FALSE #> 15970  999 0.6342790 0.116767975  fv      Gamma   Cox, Log-Normal    FALSE #> 15986 1000 0.6557219 0.167090143  fv      Gamma   Cox, Log-Normal    FALSE #> 3        1 0.6583130 0.126035398  fv      Gamma      RP(P), Gamma    FALSE #> 19       2 0.6622712 0.129798360  fv      Gamma      RP(P), Gamma    FALSE #> 35       3 1.0983598 0.207128706  fv      Gamma      RP(P), Gamma     TRUE #> 51       4 0.8432273 0.157280985  fv      Gamma      RP(P), Gamma    FALSE #> 67       5 0.7044549 0.135560564  fv      Gamma      RP(P), Gamma    FALSE #> 83       6        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 99       7 0.6501343 0.124699716  fv      Gamma      RP(P), Gamma    FALSE #> 115      8 1.0008371 0.185404780  fv      Gamma      RP(P), Gamma    FALSE #> 131      9 0.8262565 0.156514195  fv      Gamma      RP(P), Gamma    FALSE #> 147     10 0.8201887 0.155263227  fv      Gamma      RP(P), Gamma    FALSE #> 163     11 0.8137370 0.155704386  fv      Gamma      RP(P), Gamma    FALSE #> 179     12 0.9939974 0.184176616  fv      Gamma      RP(P), Gamma    FALSE #> 195     13 0.9504802 0.177824029  fv      Gamma      RP(P), Gamma    FALSE #> 211     14 0.5829730 0.115298145  fv      Gamma      RP(P), Gamma    FALSE #> 227     15 0.8822492 0.165491846  fv      Gamma      RP(P), Gamma    FALSE #> 243     16 1.0082479 0.185522929  fv      Gamma      RP(P), Gamma    FALSE #> 259     17 0.5973382 0.115826569  fv      Gamma      RP(P), Gamma    FALSE #> 275     18 0.4678429 0.096466091  fv      Gamma      RP(P), Gamma    FALSE #> 291     19 0.7328936 0.139614821  fv      Gamma      RP(P), Gamma    FALSE #> 307     20 0.9565953 0.179037879  fv      Gamma      RP(P), Gamma    FALSE #> 323     21 0.5538343 0.111582907  fv      Gamma      RP(P), Gamma    FALSE #> 339     22 0.8928450 0.168502035  fv      Gamma      RP(P), Gamma    FALSE #> 355     23 0.6152640 0.118919219  fv      Gamma      RP(P), Gamma    FALSE #> 371     24 0.7529937 0.142318629  fv      Gamma      RP(P), Gamma    FALSE #> 387     25 0.7807405 0.147597737  fv      Gamma      RP(P), Gamma    FALSE #> 403     26 0.7246273 0.139343002  fv      Gamma      RP(P), Gamma    FALSE #> 419     27 1.1459225 0.211761785  fv      Gamma      RP(P), Gamma     TRUE #> 435     28 1.0210508 0.188347485  fv      Gamma      RP(P), Gamma     TRUE #> 451     29        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 467     30 0.9633830 0.180741692  fv      Gamma      RP(P), Gamma    FALSE #> 483     31 0.6172289 0.121507402  fv      Gamma      RP(P), Gamma    FALSE #> 499     32 0.7787334 0.148374349  fv      Gamma      RP(P), Gamma    FALSE #> 515     33 0.5966043 0.115428078  fv      Gamma      RP(P), Gamma    FALSE #> 531     34 0.5606909 0.109628967  fv      Gamma      RP(P), Gamma    FALSE #> 547     35 0.7528722 0.146377360  fv      Gamma      RP(P), Gamma    FALSE #> 563     36 0.6003364 0.119702219  fv      Gamma      RP(P), Gamma    FALSE #> 579     37 0.5981520 0.116125997  fv      Gamma      RP(P), Gamma    FALSE #> 595     38 0.5258415 0.103812772  fv      Gamma      RP(P), Gamma    FALSE #> 611     39 0.7151039 0.135677110  fv      Gamma      RP(P), Gamma    FALSE #> 627     40 0.4805411 0.096069472  fv      Gamma      RP(P), Gamma    FALSE #> 643     41 1.1955770 0.214465980  fv      Gamma      RP(P), Gamma     TRUE #> 659     42 0.7131938 0.138882554  fv      Gamma      RP(P), Gamma    FALSE #> 675     43 0.8178025 0.153932387  fv      Gamma      RP(P), Gamma    FALSE #> 691     44 0.8517164 0.159552144  fv      Gamma      RP(P), Gamma    FALSE #> 707     45 0.7770909 0.146570656  fv      Gamma      RP(P), Gamma    FALSE #> 723     46 0.7352140 0.139274517  fv      Gamma      RP(P), Gamma    FALSE #> 739     47 0.9088789 0.172401938  fv      Gamma      RP(P), Gamma    FALSE #> 755     48 0.7543666 0.144637452  fv      Gamma      RP(P), Gamma    FALSE #> 771     49 0.7861070 0.150029967  fv      Gamma      RP(P), Gamma    FALSE #> 787     50 0.7194816 0.136551253  fv      Gamma      RP(P), Gamma    FALSE #> 803     51 0.8995177 0.167805917  fv      Gamma      RP(P), Gamma    FALSE #> 819     52 0.6174492 0.122678304  fv      Gamma      RP(P), Gamma    FALSE #> 835     53 0.6750597 0.130159913  fv      Gamma      RP(P), Gamma    FALSE #> 851     54 0.5309038 0.105027975  fv      Gamma      RP(P), Gamma    FALSE #> 867     55 0.7826463 0.148256356  fv      Gamma      RP(P), Gamma    FALSE #> 883     56 0.7107366 0.137819603  fv      Gamma      RP(P), Gamma    FALSE #> 899     57 0.7873837 0.148295624  fv      Gamma      RP(P), Gamma    FALSE #> 915     58 0.6604236 0.129333742  fv      Gamma      RP(P), Gamma    FALSE #> 931     59 0.7204677 0.137455234  fv      Gamma      RP(P), Gamma    FALSE #> 947     60 0.7937934 0.150215116  fv      Gamma      RP(P), Gamma    FALSE #> 963     61 0.6713512 0.128115321  fv      Gamma      RP(P), Gamma    FALSE #> 979     62 0.6573296 0.128650691  fv      Gamma      RP(P), Gamma    FALSE #> 995     63 0.8607833 0.161828019  fv      Gamma      RP(P), Gamma    FALSE #> 1011    64 0.6543734 0.125543532  fv      Gamma      RP(P), Gamma    FALSE #> 1027    65 0.6954612 0.132073413  fv      Gamma      RP(P), Gamma    FALSE #> 1043    66 0.5448760 0.107425993  fv      Gamma      RP(P), Gamma    FALSE #> 1059    67 0.8194453 0.153073618  fv      Gamma      RP(P), Gamma    FALSE #> 1075    68 0.7446814 0.141854001  fv      Gamma      RP(P), Gamma    FALSE #> 1091    69 0.5579674 0.109410924  fv      Gamma      RP(P), Gamma    FALSE #> 1107    70 0.7098810 0.138933383  fv      Gamma      RP(P), Gamma    FALSE #> 1123    71 0.9406454 0.174400598  fv      Gamma      RP(P), Gamma    FALSE #> 1139    72 0.6530136 0.125588844  fv      Gamma      RP(P), Gamma    FALSE #> 1155    73 0.4734941 0.094092884  fv      Gamma      RP(P), Gamma    FALSE #> 1171    74 0.6754394 0.129318464  fv      Gamma      RP(P), Gamma    FALSE #> 1187    75 0.6957309 0.133701552  fv      Gamma      RP(P), Gamma    FALSE #> 1203    76 0.6999121 0.137477919  fv      Gamma      RP(P), Gamma    FALSE #> 1219    77 0.7887771 0.151086397  fv      Gamma      RP(P), Gamma    FALSE #> 1235    78 1.0335900 0.192017708  fv      Gamma      RP(P), Gamma     TRUE #> 1251    79        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 1267    80 0.6232660 0.123397871  fv      Gamma      RP(P), Gamma    FALSE #> 1283    81 0.9226520 0.175330403  fv      Gamma      RP(P), Gamma    FALSE #> 1299    82 0.7323600 0.139191757  fv      Gamma      RP(P), Gamma    FALSE #> 1315    83 0.4818189 0.099344646  fv      Gamma      RP(P), Gamma    FALSE #> 1331    84 0.7176281 0.136243403  fv      Gamma      RP(P), Gamma    FALSE #> 1347    85 0.7361589 0.140006217  fv      Gamma      RP(P), Gamma    FALSE #> 1363    86 0.7168970 0.136729680  fv      Gamma      RP(P), Gamma    FALSE #> 1379    87 0.5834150 0.113285946  fv      Gamma      RP(P), Gamma    FALSE #> 1395    88 0.7231209 0.137245493  fv      Gamma      RP(P), Gamma    FALSE #> 1411    89 0.7319681 0.139036681  fv      Gamma      RP(P), Gamma    FALSE #> 1427    90 0.8849887 0.164574278  fv      Gamma      RP(P), Gamma    FALSE #> 1443    91 0.7182218 0.136983847  fv      Gamma      RP(P), Gamma    FALSE #> 1459    92 0.6588262 0.126126153  fv      Gamma      RP(P), Gamma    FALSE #> 1475    93 0.9819063 0.189623911  fv      Gamma      RP(P), Gamma     TRUE #> 1491    94 0.8240654 0.157587552  fv      Gamma      RP(P), Gamma    FALSE #> 1507    95 0.7488191 0.141983395  fv      Gamma      RP(P), Gamma    FALSE #> 1523    96 0.4645649 0.093124853  fv      Gamma      RP(P), Gamma    FALSE #> 1539    97 0.5863916 0.113518710  fv      Gamma      RP(P), Gamma    FALSE #> 1555    98 0.8032145 0.151506486  fv      Gamma      RP(P), Gamma    FALSE #> 1571    99 0.5726988 0.112665995  fv      Gamma      RP(P), Gamma    FALSE #> 1587   100 0.8511137 0.158396953  fv      Gamma      RP(P), Gamma    FALSE #> 1603   101 0.8372638 0.155812635  fv      Gamma      RP(P), Gamma    FALSE #> 1619   102 0.7029086 0.133768529  fv      Gamma      RP(P), Gamma    FALSE #> 1635   103 0.8836859 0.168715151  fv      Gamma      RP(P), Gamma    FALSE #> 1651   104 0.7399044 0.139619137  fv      Gamma      RP(P), Gamma    FALSE #> 1667   105 0.8444006 0.159608342  fv      Gamma      RP(P), Gamma    FALSE #> 1683   106 0.7104030 0.135352973  fv      Gamma      RP(P), Gamma    FALSE #> 1699   107 0.8920210 0.169462833  fv      Gamma      RP(P), Gamma    FALSE #> 1715   108 0.7782067 0.151086705  fv      Gamma      RP(P), Gamma    FALSE #> 1731   109 0.6967850 0.134601272  fv      Gamma      RP(P), Gamma    FALSE #> 1747   110 0.8004486 0.151100596  fv      Gamma      RP(P), Gamma    FALSE #> 1763   111 0.8477821 0.159358489  fv      Gamma      RP(P), Gamma    FALSE #> 1779   112 0.4652326 0.093174135  fv      Gamma      RP(P), Gamma    FALSE #> 1795   113 0.5514675 0.108252595  fv      Gamma      RP(P), Gamma    FALSE #> 1811   114 1.1754267 0.213550148  fv      Gamma      RP(P), Gamma     TRUE #> 1827   115 0.6453176 0.124038453  fv      Gamma      RP(P), Gamma    FALSE #> 1843   116 0.5128212 0.101337623  fv      Gamma      RP(P), Gamma    FALSE #> 1859   117 0.7576375 0.142629401  fv      Gamma      RP(P), Gamma    FALSE #> 1875   118 0.5586394 0.109635442  fv      Gamma      RP(P), Gamma    FALSE #> 1891   119 0.6029588 0.117070228  fv      Gamma      RP(P), Gamma    FALSE #> 1907   120 0.7150186 0.136386100  fv      Gamma      RP(P), Gamma    FALSE #> 1923   121 0.6403640 0.124114963  fv      Gamma      RP(P), Gamma    FALSE #> 1939   122 0.6358076 0.123045049  fv      Gamma      RP(P), Gamma    FALSE #> 1955   123 0.7902879 0.149476111  fv      Gamma      RP(P), Gamma    FALSE #> 1971   124 0.7337196 0.138801406  fv      Gamma      RP(P), Gamma    FALSE #> 1987   125 0.8200071 0.155766631  fv      Gamma      RP(P), Gamma    FALSE #> 2003   126 1.0013545 0.191643283  fv      Gamma      RP(P), Gamma     TRUE #> 2019   127 0.8700811 0.162504747  fv      Gamma      RP(P), Gamma    FALSE #> 2035   128 0.8632368 0.161576650  fv      Gamma      RP(P), Gamma    FALSE #> 2051   129 0.5996664 0.119267007  fv      Gamma      RP(P), Gamma    FALSE #> 2067   130 0.6725998 0.129252647  fv      Gamma      RP(P), Gamma    FALSE #> 2083   131 0.6140982 0.117746976  fv      Gamma      RP(P), Gamma    FALSE #> 2099   132 0.7648175 0.148356745  fv      Gamma      RP(P), Gamma    FALSE #> 2115   133 0.7689487 0.147279141  fv      Gamma      RP(P), Gamma    FALSE #> 2131   134 0.7587084 0.143867770  fv      Gamma      RP(P), Gamma    FALSE #> 2147   135 0.5861381 0.114200376  fv      Gamma      RP(P), Gamma    FALSE #> 2163   136 0.8141926 0.154375749  fv      Gamma      RP(P), Gamma    FALSE #> 2179   137 0.8289906 0.155615181  fv      Gamma      RP(P), Gamma    FALSE #> 2195   138 0.9755553 0.183087173  fv      Gamma      RP(P), Gamma    FALSE #> 2211   139 0.6394931 0.123231427  fv      Gamma      RP(P), Gamma    FALSE #> 2227   140 0.7139152 0.135322499  fv      Gamma      RP(P), Gamma    FALSE #> 2243   141 0.5553028 0.110080872  fv      Gamma      RP(P), Gamma    FALSE #> 2259   142 0.6996978 0.133621865  fv      Gamma      RP(P), Gamma    FALSE #> 2275   143 1.1445345 0.218513226  fv      Gamma      RP(P), Gamma     TRUE #> 2291   144 0.8547572 0.159213535  fv      Gamma      RP(P), Gamma    FALSE #> 2307   145 0.6957523 0.133145347  fv      Gamma      RP(P), Gamma    FALSE #> 2323   146 0.6861047 0.131992921  fv      Gamma      RP(P), Gamma    FALSE #> 2339   147        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 2355   148 0.5179757 0.102001564  fv      Gamma      RP(P), Gamma    FALSE #> 2371   149 0.6846178 0.131810489  fv      Gamma      RP(P), Gamma    FALSE #> 2387   150        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 2403   151 0.8349086 0.156790347  fv      Gamma      RP(P), Gamma    FALSE #> 2419   152 0.7973294 0.152804025  fv      Gamma      RP(P), Gamma    FALSE #> 2435   153 0.4923993 0.097955760  fv      Gamma      RP(P), Gamma    FALSE #> 2451   154 0.8363995 0.156721844  fv      Gamma      RP(P), Gamma    FALSE #> 2467   155 0.6940619 0.135793329  fv      Gamma      RP(P), Gamma    FALSE #> 2483   156 0.7151754 0.135913072  fv      Gamma      RP(P), Gamma    FALSE #> 2499   157 0.9592753 0.181238490  fv      Gamma      RP(P), Gamma    FALSE #> 2515   158 0.9946384 0.187427777  fv      Gamma      RP(P), Gamma    FALSE #> 2531   159 0.5061336 0.100702406  fv      Gamma      RP(P), Gamma    FALSE #> 2547   160 0.5671472 0.110846444  fv      Gamma      RP(P), Gamma    FALSE #> 2563   161 1.1633775 0.212438568  fv      Gamma      RP(P), Gamma     TRUE #> 2579   162 0.6706864 0.130117295  fv      Gamma      RP(P), Gamma    FALSE #> 2595   163 0.5941737 0.115420188  fv      Gamma      RP(P), Gamma    FALSE #> 2611   164        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 2627   165 0.7721841 0.145456395  fv      Gamma      RP(P), Gamma    FALSE #> 2643   166 0.7965391 0.153433961  fv      Gamma      RP(P), Gamma    FALSE #> 2659   167 0.8767056 0.163672379  fv      Gamma      RP(P), Gamma    FALSE #> 2675   168 0.9296400 0.172682823  fv      Gamma      RP(P), Gamma    FALSE #> 2691   169 0.7003157 0.134657034  fv      Gamma      RP(P), Gamma    FALSE #> 2707   170 0.6969487 0.133752385  fv      Gamma      RP(P), Gamma    FALSE #> 2723   171 0.6804580 0.132041501  fv      Gamma      RP(P), Gamma    FALSE #> 2739   172 0.8676534 0.162110574  fv      Gamma      RP(P), Gamma    FALSE #> 2755   173 0.6007524 0.117520007  fv      Gamma      RP(P), Gamma    FALSE #> 2771   174 0.8205264 0.155211088  fv      Gamma      RP(P), Gamma    FALSE #> 2787   175 0.6411124 0.124482470  fv      Gamma      RP(P), Gamma    FALSE #> 2803   176 0.6685131 0.127629256  fv      Gamma      RP(P), Gamma    FALSE #> 2819   177 0.5612191 0.111324967  fv      Gamma      RP(P), Gamma    FALSE #> 2835   178 0.8696153 0.161721652  fv      Gamma      RP(P), Gamma    FALSE #> 2851   179 0.5719307 0.111038706  fv      Gamma      RP(P), Gamma    FALSE #> 2867   180 0.7498661 0.145859719  fv      Gamma      RP(P), Gamma    FALSE #> 2883   181 0.8342400 0.156449843  fv      Gamma      RP(P), Gamma    FALSE #> 2899   182 0.7307317 0.138530913  fv      Gamma      RP(P), Gamma    FALSE #> 2915   183 0.5660622 0.110296482  fv      Gamma      RP(P), Gamma    FALSE #> 2931   184 0.6722313 0.130153600  fv      Gamma      RP(P), Gamma    FALSE #> 2947   185 0.8576717 0.161343877  fv      Gamma      RP(P), Gamma    FALSE #> 2963   186 0.9062698 0.173016643  fv      Gamma      RP(P), Gamma    FALSE #> 2979   187 0.7414907 0.141220753  fv      Gamma      RP(P), Gamma    FALSE #> 2995   188 0.5549364 0.108588007  fv      Gamma      RP(P), Gamma    FALSE #> 3011   189        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 3027   190 0.7746357 0.145922206  fv      Gamma      RP(P), Gamma    FALSE #> 3043   191 0.7551856 0.142985236  fv      Gamma      RP(P), Gamma    FALSE #> 3059   192 0.7775915 0.150107716  fv      Gamma      RP(P), Gamma    FALSE #> 3075   193 0.6430137 0.124203106  fv      Gamma      RP(P), Gamma    FALSE #> 3091   194 0.5962792 0.115366357  fv      Gamma      RP(P), Gamma    FALSE #> 3107   195 0.8757453 0.162926509  fv      Gamma      RP(P), Gamma    FALSE #> 3123   196 0.8185691 0.154828956  fv      Gamma      RP(P), Gamma    FALSE #> 3139   197 0.7523839 0.141992354  fv      Gamma      RP(P), Gamma    FALSE #> 3155   198 0.7791112 0.146503900  fv      Gamma      RP(P), Gamma    FALSE #> 3171   199 0.5594019 0.109474490  fv      Gamma      RP(P), Gamma    FALSE #> 3187   200 0.8269718 0.154676067  fv      Gamma      RP(P), Gamma    FALSE #> 3203   201 0.7421167 0.141738015  fv      Gamma      RP(P), Gamma    FALSE #> 3219   202 0.7899331 0.148298132  fv      Gamma      RP(P), Gamma    FALSE #> 3235   203 0.7402666 0.139639494  fv      Gamma      RP(P), Gamma    FALSE #> 3251   204 0.7440994 0.145413762  fv      Gamma      RP(P), Gamma    FALSE #> 3267   205 0.5970540 0.116504438  fv      Gamma      RP(P), Gamma    FALSE #> 3283   206 0.7403789 0.140695149  fv      Gamma      RP(P), Gamma    FALSE #> 3299   207 0.5683539 0.111182081  fv      Gamma      RP(P), Gamma    FALSE #> 3315   208 0.7459009 0.142060451  fv      Gamma      RP(P), Gamma    FALSE #> 3331   209 0.6797062 0.130454189  fv      Gamma      RP(P), Gamma    FALSE #> 3347   210 0.6908023 0.133192700  fv      Gamma      RP(P), Gamma    FALSE #> 3363   211 0.9814670 0.185180252  fv      Gamma      RP(P), Gamma    FALSE #> 3379   212 0.7275717 0.141752091  fv      Gamma      RP(P), Gamma    FALSE #> 3395   213 0.8195451 0.155112422  fv      Gamma      RP(P), Gamma    FALSE #> 3411   214 0.6510424 0.125935368  fv      Gamma      RP(P), Gamma    FALSE #> 3427   215 0.8809648 0.164847839  fv      Gamma      RP(P), Gamma    FALSE #> 3443   216 0.9160453 0.170696980  fv      Gamma      RP(P), Gamma    FALSE #> 3459   217 0.6786443 0.131436644  fv      Gamma      RP(P), Gamma    FALSE #> 3475   218 0.6130170 0.119462464  fv      Gamma      RP(P), Gamma    FALSE #> 3491   219 0.8587860 0.162940219  fv      Gamma      RP(P), Gamma    FALSE #> 3507   220 0.5645745 0.110301667  fv      Gamma      RP(P), Gamma    FALSE #> 3523   221 0.7121007 0.136949273  fv      Gamma      RP(P), Gamma    FALSE #> 3539   222 0.7729783 0.147339017  fv      Gamma      RP(P), Gamma    FALSE #> 3555   223 0.7974666 0.154576435  fv      Gamma      RP(P), Gamma    FALSE #> 3571   224 0.7615940 0.144773736  fv      Gamma      RP(P), Gamma    FALSE #> 3587   225 0.6728903 0.129293781  fv      Gamma      RP(P), Gamma    FALSE #> 3603   226 0.8358787 0.160645352  fv      Gamma      RP(P), Gamma    FALSE #> 3619   227 0.6563351 0.126951384  fv      Gamma      RP(P), Gamma    FALSE #> 3635   228 0.8883501 0.165539138  fv      Gamma      RP(P), Gamma    FALSE #> 3651   229 0.7794882 0.147653006  fv      Gamma      RP(P), Gamma    FALSE #> 3667   230 0.7046264 0.134302636  fv      Gamma      RP(P), Gamma    FALSE #> 3683   231 0.7995473 0.151758843  fv      Gamma      RP(P), Gamma    FALSE #> 3699   232 0.7343045 0.142360273  fv      Gamma      RP(P), Gamma    FALSE #> 3715   233 0.8751457 0.164490904  fv      Gamma      RP(P), Gamma    FALSE #> 3731   234 0.6297026 0.121422242  fv      Gamma      RP(P), Gamma    FALSE #> 3747   235 0.7447860 0.143473450  fv      Gamma      RP(P), Gamma    FALSE #> 3763   236 0.4983589 0.099237135  fv      Gamma      RP(P), Gamma    FALSE #> 3779   237 0.6746635 0.131114127  fv      Gamma      RP(P), Gamma    FALSE #> 3795   238 0.5865575 0.115419368  fv      Gamma      RP(P), Gamma    FALSE #> 3811   239 0.7115553 0.134845742  fv      Gamma      RP(P), Gamma    FALSE #> 3827   240 0.8624671 0.164706486  fv      Gamma      RP(P), Gamma    FALSE #> 3843   241 0.6575508 0.126415736  fv      Gamma      RP(P), Gamma    FALSE #> 3859   242 0.5155896 0.101988080  fv      Gamma      RP(P), Gamma    FALSE #> 3875   243 0.8672063 0.167331273  fv      Gamma      RP(P), Gamma    FALSE #> 3891   244 0.5652190 0.110299698  fv      Gamma      RP(P), Gamma    FALSE #> 3907   245 0.9099031 0.170615102  fv      Gamma      RP(P), Gamma    FALSE #> 3923   246 0.6715121 0.128245541  fv      Gamma      RP(P), Gamma    FALSE #> 3939   247 0.7666596 0.145481254  fv      Gamma      RP(P), Gamma    FALSE #> 3955   248 0.9441329 0.174552266  fv      Gamma      RP(P), Gamma    FALSE #> 3971   249 0.9565287 0.180161217  fv      Gamma      RP(P), Gamma    FALSE #> 3987   250 0.7319608 0.140182669  fv      Gamma      RP(P), Gamma    FALSE #> 4003   251 0.7972592 0.153143991  fv      Gamma      RP(P), Gamma    FALSE #> 4019   252 0.8050622 0.154700370  fv      Gamma      RP(P), Gamma    FALSE #> 4035   253 0.9078567 0.176560322  fv      Gamma      RP(P), Gamma    FALSE #> 4051   254 0.5209792 0.102295614  fv      Gamma      RP(P), Gamma    FALSE #> 4067   255 0.7747142 0.145325614  fv      Gamma      RP(P), Gamma    FALSE #> 4083   256 0.7249451 0.138771215  fv      Gamma      RP(P), Gamma    FALSE #> 4099   257 0.5361170 0.104550822  fv      Gamma      RP(P), Gamma    FALSE #> 4115   258 0.7026252 0.139222844  fv      Gamma      RP(P), Gamma    FALSE #> 4131   259 0.7429085 0.141357296  fv      Gamma      RP(P), Gamma    FALSE #> 4147   260        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 4163   261 0.4996380 0.098593653  fv      Gamma      RP(P), Gamma    FALSE #> 4179   262 0.7307282 0.140705499  fv      Gamma      RP(P), Gamma    FALSE #> 4195   263 0.6060010 0.118004035  fv      Gamma      RP(P), Gamma    FALSE #> 4211   264 0.5116451 0.100491965  fv      Gamma      RP(P), Gamma    FALSE #> 4227   265 0.5946271 0.114842799  fv      Gamma      RP(P), Gamma    FALSE #> 4243   266 0.6163830 0.118942533  fv      Gamma      RP(P), Gamma    FALSE #> 4259   267 0.7102904 0.136036062  fv      Gamma      RP(P), Gamma    FALSE #> 4275   268 0.7470312 0.141482234  fv      Gamma      RP(P), Gamma    FALSE #> 4291   269 1.0631565 0.199380875  fv      Gamma      RP(P), Gamma     TRUE #> 4307   270 0.9061584 0.174043080  fv      Gamma      RP(P), Gamma    FALSE #> 4323   271 0.8927398 0.167378590  fv      Gamma      RP(P), Gamma    FALSE #> 4339   272 0.5411831 0.106864266  fv      Gamma      RP(P), Gamma    FALSE #> 4355   273 0.6638746 0.128232822  fv      Gamma      RP(P), Gamma    FALSE #> 4371   274 0.7225398 0.137091182  fv      Gamma      RP(P), Gamma    FALSE #> 4387   275 0.8562018 0.159672512  fv      Gamma      RP(P), Gamma    FALSE #> 4403   276 0.8120395 0.156356817  fv      Gamma      RP(P), Gamma    FALSE #> 4419   277 0.6780585 0.129342060  fv      Gamma      RP(P), Gamma    FALSE #> 4435   278 0.7362699 0.139418618  fv      Gamma      RP(P), Gamma    FALSE #> 4451   279 0.7312040 0.138791432  fv      Gamma      RP(P), Gamma    FALSE #> 4467   280 0.7617472 0.144139706  fv      Gamma      RP(P), Gamma    FALSE #> 4483   281 1.0239004 0.192140750  fv      Gamma      RP(P), Gamma     TRUE #> 4499   282 0.6014472 0.116810971  fv      Gamma      RP(P), Gamma    FALSE #> 4515   283 0.8070494 0.156406698  fv      Gamma      RP(P), Gamma    FALSE #> 4531   284 0.6547454 0.125591638  fv      Gamma      RP(P), Gamma    FALSE #> 4547   285 0.5017963 0.099125117  fv      Gamma      RP(P), Gamma    FALSE #> 4563   286 0.7664404 0.145194703  fv      Gamma      RP(P), Gamma    FALSE #> 4579   287 0.6417145 0.124295516  fv      Gamma      RP(P), Gamma    FALSE #> 4595   288 1.2160035 0.222504503  fv      Gamma      RP(P), Gamma     TRUE #> 4611   289 0.6310461 0.122257396  fv      Gamma      RP(P), Gamma    FALSE #> 4627   290 0.5976140 0.116077104  fv      Gamma      RP(P), Gamma    FALSE #> 4643   291 0.6144723 0.119062165  fv      Gamma      RP(P), Gamma    FALSE #> 4659   292 0.6279208 0.121314205  fv      Gamma      RP(P), Gamma    FALSE #> 4675   293 0.8865261 0.166337950  fv      Gamma      RP(P), Gamma    FALSE #> 4691   294 0.6338803 0.122601043  fv      Gamma      RP(P), Gamma    FALSE #> 4707   295 1.0653819 0.195613485  fv      Gamma      RP(P), Gamma     TRUE #> 4723   296 0.7351061 0.140428978  fv      Gamma      RP(P), Gamma    FALSE #> 4739   297        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 4755   298 0.5714635 0.111383939  fv      Gamma      RP(P), Gamma    FALSE #> 4771   299 0.5687379 0.111502873  fv      Gamma      RP(P), Gamma    FALSE #> 4787   300 0.8507623 0.158735467  fv      Gamma      RP(P), Gamma    FALSE #> 4803   301 0.5324432 0.104591380  fv      Gamma      RP(P), Gamma    FALSE #> 4819   302 0.7542968 0.142000299  fv      Gamma      RP(P), Gamma    FALSE #> 4835   303 0.6702254 0.129544084  fv      Gamma      RP(P), Gamma    FALSE #> 4851   304 0.7359526 0.140947337  fv      Gamma      RP(P), Gamma    FALSE #> 4867   305 0.8686497 0.162388264  fv      Gamma      RP(P), Gamma    FALSE #> 4883   306 0.7459705 0.141847704  fv      Gamma      RP(P), Gamma    FALSE #> 4899   307 0.7645224 0.146818849  fv      Gamma      RP(P), Gamma    FALSE #> 4915   308 0.6534080 0.125521136  fv      Gamma      RP(P), Gamma    FALSE #> 4931   309 0.7355909 0.139210502  fv      Gamma      RP(P), Gamma    FALSE #> 4947   310        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 4963   311 0.8223787 0.154504491  fv      Gamma      RP(P), Gamma    FALSE #> 4979   312 1.1338355 0.215053067  fv      Gamma      RP(P), Gamma     TRUE #> 4995   313 0.7878946 0.148828816  fv      Gamma      RP(P), Gamma    FALSE #> 5011   314 0.6331384 0.122483624  fv      Gamma      RP(P), Gamma    FALSE #> 5027   315 0.7590237 0.143303796  fv      Gamma      RP(P), Gamma    FALSE #> 5043   316 1.0456069 0.192281909  fv      Gamma      RP(P), Gamma     TRUE #> 5059   317 0.6438263 0.124298460  fv      Gamma      RP(P), Gamma    FALSE #> 5075   318 0.8458746 0.163143415  fv      Gamma      RP(P), Gamma    FALSE #> 5091   319 0.6167836 0.119519907  fv      Gamma      RP(P), Gamma    FALSE #> 5107   320 0.6054894 0.117299351  fv      Gamma      RP(P), Gamma    FALSE #> 5123   321 0.8581595 0.161575543  fv      Gamma      RP(P), Gamma    FALSE #> 5139   322 0.5470126 0.107569123  fv      Gamma      RP(P), Gamma    FALSE #> 5155   323 0.8521730 0.159824438  fv      Gamma      RP(P), Gamma    FALSE #> 5171   324 0.6293737 0.123041276  fv      Gamma      RP(P), Gamma    FALSE #> 5187   325 0.7351303 0.139660930  fv      Gamma      RP(P), Gamma    FALSE #> 5203   326 0.7037406 0.134539252  fv      Gamma      RP(P), Gamma    FALSE #> 5219   327 0.7573005 0.143468222  fv      Gamma      RP(P), Gamma    FALSE #> 5235   328 1.0260740 0.191722687  fv      Gamma      RP(P), Gamma     TRUE #> 5251   329 0.8785208 0.166167340  fv      Gamma      RP(P), Gamma    FALSE #> 5267   330 0.6958925 0.133498433  fv      Gamma      RP(P), Gamma    FALSE #> 5283   331 0.8444511 0.157981839  fv      Gamma      RP(P), Gamma    FALSE #> 5299   332 0.5635456 0.111106954  fv      Gamma      RP(P), Gamma    FALSE #> 5315   333 0.5430382 0.106020576  fv      Gamma      RP(P), Gamma    FALSE #> 5331   334 0.9485748 0.174368602  fv      Gamma      RP(P), Gamma    FALSE #> 5347   335 0.7668800 0.145970993  fv      Gamma      RP(P), Gamma    FALSE #> 5363   336 0.4803202 0.096188584  fv      Gamma      RP(P), Gamma    FALSE #> 5379   337 0.6414976 0.124756829  fv      Gamma      RP(P), Gamma    FALSE #> 5395   338 0.6042093 0.116438825  fv      Gamma      RP(P), Gamma    FALSE #> 5411   339 0.8270540 0.156836453  fv      Gamma      RP(P), Gamma    FALSE #> 5427   340 0.7812948 0.153293387  fv      Gamma      RP(P), Gamma    FALSE #> 5443   341 0.5615693 0.109395593  fv      Gamma      RP(P), Gamma    FALSE #> 5459   342 0.4507156 0.089944670  fv      Gamma      RP(P), Gamma     TRUE #> 5475   343 0.6379126 0.123551359  fv      Gamma      RP(P), Gamma    FALSE #> 5491   344 0.9832700 0.184814008  fv      Gamma      RP(P), Gamma    FALSE #> 5507   345 0.8700732 0.163382934  fv      Gamma      RP(P), Gamma    FALSE #> 5523   346 0.7930586 0.148638590  fv      Gamma      RP(P), Gamma    FALSE #> 5539   347 0.7362875 0.139653656  fv      Gamma      RP(P), Gamma    FALSE #> 5555   348 0.9288355 0.172358490  fv      Gamma      RP(P), Gamma    FALSE #> 5571   349 0.8545774 0.160193152  fv      Gamma      RP(P), Gamma    FALSE #> 5587   350 0.8162435 0.153114319  fv      Gamma      RP(P), Gamma    FALSE #> 5603   351 0.8768429 0.168170983  fv      Gamma      RP(P), Gamma    FALSE #> 5619   352 0.7998651 0.154372925  fv      Gamma      RP(P), Gamma    FALSE #> 5635   353 0.5789433 0.113105924  fv      Gamma      RP(P), Gamma    FALSE #> 5651   354 0.7427434 0.141322244  fv      Gamma      RP(P), Gamma    FALSE #> 5667   355 0.8022031 0.150273181  fv      Gamma      RP(P), Gamma    FALSE #> 5683   356 0.8292656 0.158481791  fv      Gamma      RP(P), Gamma    FALSE #> 5699   357 0.6949861 0.132957253  fv      Gamma      RP(P), Gamma    FALSE #> 5715   358 0.6410077 0.122340318  fv      Gamma      RP(P), Gamma    FALSE #> 5731   359 0.6758443 0.133342092  fv      Gamma      RP(P), Gamma    FALSE #> 5747   360 0.6048735 0.117286870  fv      Gamma      RP(P), Gamma    FALSE #> 5763   361 0.9452275 0.179410146  fv      Gamma      RP(P), Gamma    FALSE #> 5779   362 0.4613285 0.091336265  fv      Gamma      RP(P), Gamma     TRUE #> 5795   363        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 5811   364 0.5305074 0.104571551  fv      Gamma      RP(P), Gamma    FALSE #> 5827   365 0.7692393 0.150826618  fv      Gamma      RP(P), Gamma    FALSE #> 5843   366 0.8281260 0.157369897  fv      Gamma      RP(P), Gamma    FALSE #> 5859   367 0.8879069 0.165562059  fv      Gamma      RP(P), Gamma    FALSE #> 5875   368 0.8819495 0.172077745  fv      Gamma      RP(P), Gamma    FALSE #> 5891   369 0.5571989 0.108663257  fv      Gamma      RP(P), Gamma    FALSE #> 5907   370 0.5240141 0.103230461  fv      Gamma      RP(P), Gamma    FALSE #> 5923   371 0.8850740 0.167914113  fv      Gamma      RP(P), Gamma    FALSE #> 5939   372 0.6292203 0.125493047  fv      Gamma      RP(P), Gamma    FALSE #> 5955   373 0.6711393 0.128355923  fv      Gamma      RP(P), Gamma    FALSE #> 5971   374 0.6330126 0.122222933  fv      Gamma      RP(P), Gamma    FALSE #> 5987   375 0.6232037 0.120619676  fv      Gamma      RP(P), Gamma    FALSE #> 6003   376 0.6709763 0.129346165  fv      Gamma      RP(P), Gamma    FALSE #> 6019   377 0.8081042 0.155740601  fv      Gamma      RP(P), Gamma    FALSE #> 6035   378 0.7807703 0.146835814  fv      Gamma      RP(P), Gamma    FALSE #> 6051   379 0.6489020 0.124780001  fv      Gamma      RP(P), Gamma    FALSE #> 6067   380 0.7690472 0.145653760  fv      Gamma      RP(P), Gamma    FALSE #> 6083   381 0.6655172 0.128470538  fv      Gamma      RP(P), Gamma    FALSE #> 6099   382 0.6834100 0.131022145  fv      Gamma      RP(P), Gamma    FALSE #> 6115   383 1.0199434 0.186627092  fv      Gamma      RP(P), Gamma     TRUE #> 6131   384 0.8425240 0.158501752  fv      Gamma      RP(P), Gamma    FALSE #> 6147   385 0.5435103 0.106298014  fv      Gamma      RP(P), Gamma    FALSE #> 6163   386 0.3974050 0.081499042  fv      Gamma      RP(P), Gamma     TRUE #> 6179   387 0.5426046 0.105687478  fv      Gamma      RP(P), Gamma    FALSE #> 6195   388 0.6611317 0.126806617  fv      Gamma      RP(P), Gamma    FALSE #> 6211   389 0.5349625 0.105162575  fv      Gamma      RP(P), Gamma    FALSE #> 6227   390 0.6059506 0.117577612  fv      Gamma      RP(P), Gamma    FALSE #> 6243   391 0.5031306 0.099223928  fv      Gamma      RP(P), Gamma    FALSE #> 6259   392 0.9247264 0.171447639  fv      Gamma      RP(P), Gamma    FALSE #> 6275   393 0.5799003 0.113309467  fv      Gamma      RP(P), Gamma    FALSE #> 6291   394 0.8923633 0.167756406  fv      Gamma      RP(P), Gamma    FALSE #> 6307   395 0.7025183 0.135296087  fv      Gamma      RP(P), Gamma    FALSE #> 6323   396 0.7120067 0.139386238  fv      Gamma      RP(P), Gamma    FALSE #> 6339   397 0.8245329 0.154169882  fv      Gamma      RP(P), Gamma    FALSE #> 6355   398 0.7714605 0.146465081  fv      Gamma      RP(P), Gamma    FALSE #> 6371   399 0.6201603 0.120225120  fv      Gamma      RP(P), Gamma    FALSE #> 6387   400 0.6674704 0.128448157  fv      Gamma      RP(P), Gamma    FALSE #> 6403   401 0.8591833 0.163558247  fv      Gamma      RP(P), Gamma    FALSE #> 6419   402 0.7237335 0.141496085  fv      Gamma      RP(P), Gamma    FALSE #> 6435   403 0.6842458 0.130528240  fv      Gamma      RP(P), Gamma    FALSE #> 6451   404 0.8914124 0.170001726  fv      Gamma      RP(P), Gamma    FALSE #> 6467   405 0.6372709 0.122209769  fv      Gamma      RP(P), Gamma    FALSE #> 6483   406 0.6333429 0.122577106  fv      Gamma      RP(P), Gamma    FALSE #> 6499   407 0.7540527 0.143640882  fv      Gamma      RP(P), Gamma    FALSE #> 6515   408 0.4838950 0.100461103  fv      Gamma      RP(P), Gamma    FALSE #> 6531   409 0.9146888 0.169439375  fv      Gamma      RP(P), Gamma    FALSE #> 6547   410 0.9330222 0.176834198  fv      Gamma      RP(P), Gamma    FALSE #> 6563   411 0.7883049 0.155697900  fv      Gamma      RP(P), Gamma    FALSE #> 6579   412 0.6774845 0.129576379  fv      Gamma      RP(P), Gamma    FALSE #> 6595   413 0.7116535 0.136948608  fv      Gamma      RP(P), Gamma    FALSE #> 6611   414 0.7132797 0.136232402  fv      Gamma      RP(P), Gamma    FALSE #> 6627   415 0.8286193 0.154693246  fv      Gamma      RP(P), Gamma    FALSE #> 6643   416 0.6156083 0.119284639  fv      Gamma      RP(P), Gamma    FALSE #> 6659   417 0.7087812 0.135096167  fv      Gamma      RP(P), Gamma    FALSE #> 6675   418 0.7293437 0.138932311  fv      Gamma      RP(P), Gamma    FALSE #> 6691   419 0.5997472 0.117475840  fv      Gamma      RP(P), Gamma    FALSE #> 6707   420 0.7993144 0.153914851  fv      Gamma      RP(P), Gamma    FALSE #> 6723   421 0.7797894 0.147239639  fv      Gamma      RP(P), Gamma    FALSE #> 6739   422 0.7196492 0.137084047  fv      Gamma      RP(P), Gamma    FALSE #> 6755   423 0.7782277 0.146884783  fv      Gamma      RP(P), Gamma    FALSE #> 6771   424 0.6735367 0.130483600  fv      Gamma      RP(P), Gamma    FALSE #> 6787   425 0.5438044 0.106872272  fv      Gamma      RP(P), Gamma    FALSE #> 6803   426 0.9765959 0.180951859  fv      Gamma      RP(P), Gamma    FALSE #> 6819   427 0.4342931 0.087816670  fv      Gamma      RP(P), Gamma     TRUE #> 6835   428        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 6851   429 0.6326812 0.122272867  fv      Gamma      RP(P), Gamma    FALSE #> 6867   430 0.5864832 0.114045582  fv      Gamma      RP(P), Gamma    FALSE #> 6883   431 0.8330418 0.156297552  fv      Gamma      RP(P), Gamma    FALSE #> 6899   432 0.5660420 0.111497263  fv      Gamma      RP(P), Gamma    FALSE #> 6915   433 0.7633897 0.146680676  fv      Gamma      RP(P), Gamma    FALSE #> 6931   434 0.9157854 0.169179334  fv      Gamma      RP(P), Gamma    FALSE #> 6947   435 0.6436417 0.123386611  fv      Gamma      RP(P), Gamma    FALSE #> 6963   436 0.8894330 0.168215631  fv      Gamma      RP(P), Gamma    FALSE #> 6979   437 0.6466005 0.124257627  fv      Gamma      RP(P), Gamma    FALSE #> 6995   438 0.4983309 0.099003740  fv      Gamma      RP(P), Gamma    FALSE #> 7011   439 0.6788690 0.131122725  fv      Gamma      RP(P), Gamma    FALSE #> 7027   440 0.6840970 0.130674970  fv      Gamma      RP(P), Gamma    FALSE #> 7043   441 0.4509432 0.090190377  fv      Gamma      RP(P), Gamma     TRUE #> 7059   442 0.8197896 0.153466848  fv      Gamma      RP(P), Gamma    FALSE #> 7075   443 0.4883504 0.097806334  fv      Gamma      RP(P), Gamma    FALSE #> 7091   444 0.6309643 0.121865041  fv      Gamma      RP(P), Gamma    FALSE #> 7107   445 0.8964975 0.172918156  fv      Gamma      RP(P), Gamma    FALSE #> 7123   446 0.7383350 0.140046750  fv      Gamma      RP(P), Gamma    FALSE #> 7139   447 0.7068869 0.134798962  fv      Gamma      RP(P), Gamma    FALSE #> 7155   448 0.7623019 0.144996154  fv      Gamma      RP(P), Gamma    FALSE #> 7171   449 0.8202607 0.153262713  fv      Gamma      RP(P), Gamma    FALSE #> 7187   450 0.6652518 0.127192030  fv      Gamma      RP(P), Gamma    FALSE #> 7203   451 0.7929428 0.149414357  fv      Gamma      RP(P), Gamma    FALSE #> 7219   452 0.5390468 0.106252035  fv      Gamma      RP(P), Gamma    FALSE #> 7235   453 0.7983611 0.149574089  fv      Gamma      RP(P), Gamma    FALSE #> 7251   454 0.6809155 0.133855974  fv      Gamma      RP(P), Gamma    FALSE #> 7267   455 0.7867915 0.148808687  fv      Gamma      RP(P), Gamma    FALSE #> 7283   456 0.8027674 0.151115965  fv      Gamma      RP(P), Gamma    FALSE #> 7299   457 0.7599211 0.143934714  fv      Gamma      RP(P), Gamma    FALSE #> 7315   458 0.8392784 0.158497506  fv      Gamma      RP(P), Gamma    FALSE #> 7331   459 0.6859136 0.132185682  fv      Gamma      RP(P), Gamma    FALSE #> 7347   460 0.5989569 0.116734400  fv      Gamma      RP(P), Gamma    FALSE #> 7363   461 0.7104775 0.136171002  fv      Gamma      RP(P), Gamma    FALSE #> 7379   462 0.9353550 0.176644991  fv      Gamma      RP(P), Gamma    FALSE #> 7395   463 0.5917203 0.113971563  fv      Gamma      RP(P), Gamma    FALSE #> 7411   464 0.5466129 0.108141319  fv      Gamma      RP(P), Gamma    FALSE #> 7427   465 0.6924133 0.132057038  fv      Gamma      RP(P), Gamma    FALSE #> 7443   466 0.8595890 0.164380309  fv      Gamma      RP(P), Gamma    FALSE #> 7459   467 0.8621341 0.162880467  fv      Gamma      RP(P), Gamma    FALSE #> 7475   468 0.5844938 0.113603790  fv      Gamma      RP(P), Gamma    FALSE #> 7491   469 0.7748601 0.149549630  fv      Gamma      RP(P), Gamma    FALSE #> 7507   470 0.7885976 0.148029828  fv      Gamma      RP(P), Gamma    FALSE #> 7523   471 0.6020256 0.116789527  fv      Gamma      RP(P), Gamma    FALSE #> 7539   472 0.7796100 0.146855855  fv      Gamma      RP(P), Gamma    FALSE #> 7555   473 0.6785752 0.130008471  fv      Gamma      RP(P), Gamma    FALSE #> 7571   474 0.6250698 0.122879162  fv      Gamma      RP(P), Gamma    FALSE #> 7587   475 1.1078072 0.208724589  fv      Gamma      RP(P), Gamma     TRUE #> 7603   476 0.5563729 0.109196239  fv      Gamma      RP(P), Gamma    FALSE #> 7619   477 0.8587266 0.160352193  fv      Gamma      RP(P), Gamma    FALSE #> 7635   478 0.6830960 0.131457533  fv      Gamma      RP(P), Gamma    FALSE #> 7651   479 0.8681593 0.162333605  fv      Gamma      RP(P), Gamma    FALSE #> 7667   480 0.7574428 0.144816517  fv      Gamma      RP(P), Gamma    FALSE #> 7683   481        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 7699   482 0.6266013 0.124370257  fv      Gamma      RP(P), Gamma    FALSE #> 7715   483 0.6528467 0.127306631  fv      Gamma      RP(P), Gamma    FALSE #> 7731   484 0.7127943 0.134930802  fv      Gamma      RP(P), Gamma    FALSE #> 7747   485 0.7125054 0.135276927  fv      Gamma      RP(P), Gamma    FALSE #> 7763   486 0.5687850 0.111413020  fv      Gamma      RP(P), Gamma    FALSE #> 7779   487 0.8243935 0.154600910  fv      Gamma      RP(P), Gamma    FALSE #> 7795   488 0.6812360 0.132703870  fv      Gamma      RP(P), Gamma    FALSE #> 7811   489 0.8845371 0.169323636  fv      Gamma      RP(P), Gamma    FALSE #> 7827   490 1.0653722 0.194660353  fv      Gamma      RP(P), Gamma     TRUE #> 7843   491 0.6826541 0.130776905  fv      Gamma      RP(P), Gamma    FALSE #> 7859   492 0.8235202 0.155848858  fv      Gamma      RP(P), Gamma    FALSE #> 7875   493 0.7768356 0.151524876  fv      Gamma      RP(P), Gamma    FALSE #> 7891   494 0.7218053 0.137841570  fv      Gamma      RP(P), Gamma    FALSE #> 7907   495 0.7695705 0.146521336  fv      Gamma      RP(P), Gamma    FALSE #> 7923   496 0.5166882 0.102399021  fv      Gamma      RP(P), Gamma    FALSE #> 7939   497 0.6627873 0.126766292  fv      Gamma      RP(P), Gamma    FALSE #> 7955   498 0.6342445 0.122728374  fv      Gamma      RP(P), Gamma    FALSE #> 7971   499 0.9374378 0.175338174  fv      Gamma      RP(P), Gamma    FALSE #> 7987   500 0.9019653 0.170409658  fv      Gamma      RP(P), Gamma    FALSE #> 8003   501 0.6962305 0.132980257  fv      Gamma      RP(P), Gamma    FALSE #> 8019   502 0.7603688 0.144250280  fv      Gamma      RP(P), Gamma    FALSE #> 8035   503 0.6803697 0.130734079  fv      Gamma      RP(P), Gamma    FALSE #> 8051   504 0.8753725 0.162673418  fv      Gamma      RP(P), Gamma    FALSE #> 8067   505 0.9260534 0.173473955  fv      Gamma      RP(P), Gamma    FALSE #> 8083   506 0.6660089 0.127478067  fv      Gamma      RP(P), Gamma    FALSE #> 8099   507 0.6217409 0.120696018  fv      Gamma      RP(P), Gamma    FALSE #> 8115   508 0.6657625 0.127882730  fv      Gamma      RP(P), Gamma    FALSE #> 8131   509 0.7035885 0.134122091  fv      Gamma      RP(P), Gamma    FALSE #> 8147   510 0.9153649 0.169975579  fv      Gamma      RP(P), Gamma    FALSE #> 8163   511 0.7435226 0.141999828  fv      Gamma      RP(P), Gamma    FALSE #> 8179   512 0.8092206 0.152504675  fv      Gamma      RP(P), Gamma    FALSE #> 8195   513 0.5970830 0.116342118  fv      Gamma      RP(P), Gamma    FALSE #> 8211   514 0.6584162 0.127259558  fv      Gamma      RP(P), Gamma    FALSE #> 8227   515 0.6218205 0.120288402  fv      Gamma      RP(P), Gamma    FALSE #> 8243   516 0.7564849 0.144835314  fv      Gamma      RP(P), Gamma    FALSE #> 8259   517 0.7866480 0.148609375  fv      Gamma      RP(P), Gamma    FALSE #> 8275   518 0.8554770 0.159037294  fv      Gamma      RP(P), Gamma    FALSE #> 8291   519 0.7052320 0.134728823  fv      Gamma      RP(P), Gamma    FALSE #> 8307   520 0.6204574 0.120158025  fv      Gamma      RP(P), Gamma    FALSE #> 8323   521 0.5621929 0.109422753  fv      Gamma      RP(P), Gamma    FALSE #> 8339   522 0.5443101 0.106427943  fv      Gamma      RP(P), Gamma    FALSE #> 8355   523 0.6711061 0.129798304  fv      Gamma      RP(P), Gamma    FALSE #> 8371   524 0.6038576 0.117617477  fv      Gamma      RP(P), Gamma    FALSE #> 8387   525 1.0537419 0.193004302  fv      Gamma      RP(P), Gamma     TRUE #> 8403   526 0.7616132 0.144330441  fv      Gamma      RP(P), Gamma    FALSE #> 8419   527 0.6897576 0.133491604  fv      Gamma      RP(P), Gamma    FALSE #> 8435   528 0.6067378 0.118097165  fv      Gamma      RP(P), Gamma    FALSE #> 8451   529 0.8534833 0.160118465  fv      Gamma      RP(P), Gamma    FALSE #> 8467   530 0.8925411 0.166714870  fv      Gamma      RP(P), Gamma    FALSE #> 8483   531 0.7934168 0.148589902  fv      Gamma      RP(P), Gamma    FALSE #> 8499   532 0.7905062 0.149455790  fv      Gamma      RP(P), Gamma    FALSE #> 8515   533 0.7295545 0.139010779  fv      Gamma      RP(P), Gamma    FALSE #> 8531   534 0.7802222 0.146683135  fv      Gamma      RP(P), Gamma    FALSE #> 8547   535 0.9550213 0.176657581  fv      Gamma      RP(P), Gamma    FALSE #> 8563   536 0.8285902 0.154754825  fv      Gamma      RP(P), Gamma    FALSE #> 8579   537 0.7142590 0.139710304  fv      Gamma      RP(P), Gamma    FALSE #> 8595   538 0.6242860 0.121665242  fv      Gamma      RP(P), Gamma    FALSE #> 8611   539 0.8641128 0.161545364  fv      Gamma      RP(P), Gamma    FALSE #> 8627   540 0.7678492 0.149811233  fv      Gamma      RP(P), Gamma    FALSE #> 8643   541 0.6289813 0.122609687  fv      Gamma      RP(P), Gamma    FALSE #> 8659   542 0.8359050 0.157109048  fv      Gamma      RP(P), Gamma    FALSE #> 8675   543 0.9027601 0.167995185  fv      Gamma      RP(P), Gamma    FALSE #> 8691   544 0.8244925 0.154618216  fv      Gamma      RP(P), Gamma    FALSE #> 8707   545 0.6980857 0.134268057  fv      Gamma      RP(P), Gamma    FALSE #> 8723   546 0.6933300 0.133073387  fv      Gamma      RP(P), Gamma    FALSE #> 8739   547        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 8755   548 0.6333770 0.125231052  fv      Gamma      RP(P), Gamma    FALSE #> 8771   549 0.8023245 0.153987219  fv      Gamma      RP(P), Gamma    FALSE #> 8787   550 0.8868958 0.173752332  fv      Gamma      RP(P), Gamma    FALSE #> 8803   551 0.7222047 0.137638041  fv      Gamma      RP(P), Gamma    FALSE #> 8819   552 0.5671938 0.111950384  fv      Gamma      RP(P), Gamma    FALSE #> 8835   553 0.5909826 0.115431956  fv      Gamma      RP(P), Gamma    FALSE #> 8851   554 0.6819668 0.131463459  fv      Gamma      RP(P), Gamma    FALSE #> 8867   555 0.5949893 0.116327674  fv      Gamma      RP(P), Gamma    FALSE #> 8883   556 0.5424623 0.106665952  fv      Gamma      RP(P), Gamma    FALSE #> 8899   557 1.1345537 0.209862447  fv      Gamma      RP(P), Gamma     TRUE #> 8915   558 0.8058485 0.152388030  fv      Gamma      RP(P), Gamma    FALSE #> 8931   559 0.6173724 0.122782335  fv      Gamma      RP(P), Gamma    FALSE #> 8947   560 0.7512495 0.143599104  fv      Gamma      RP(P), Gamma    FALSE #> 8963   561 0.7585141 0.143155705  fv      Gamma      RP(P), Gamma    FALSE #> 8979   562 0.4484573 0.089532416  fv      Gamma      RP(P), Gamma     TRUE #> 8995   563 0.7698720 0.146396748  fv      Gamma      RP(P), Gamma    FALSE #> 9011   564 0.7607873 0.143322348  fv      Gamma      RP(P), Gamma    FALSE #> 9027   565 0.8222472 0.159236501  fv      Gamma      RP(P), Gamma    FALSE #> 9043   566 0.8548495 0.160429756  fv      Gamma      RP(P), Gamma    FALSE #> 9059   567 0.7245818 0.138376691  fv      Gamma      RP(P), Gamma    FALSE #> 9075   568 0.7931173 0.152597975  fv      Gamma      RP(P), Gamma    FALSE #> 9091   569 0.6850610 0.133116653  fv      Gamma      RP(P), Gamma    FALSE #> 9107   570        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 9123   571 0.7549228 0.142914728  fv      Gamma      RP(P), Gamma    FALSE #> 9139   572 0.8278657 0.154426950  fv      Gamma      RP(P), Gamma    FALSE #> 9155   573 0.5344300 0.105884223  fv      Gamma      RP(P), Gamma    FALSE #> 9171   574 0.8527038 0.162694626  fv      Gamma      RP(P), Gamma    FALSE #> 9187   575 0.7057682 0.134947723  fv      Gamma      RP(P), Gamma    FALSE #> 9203   576 0.7448504 0.142986350  fv      Gamma      RP(P), Gamma    FALSE #> 9219   577 0.6324739 0.122708071  fv      Gamma      RP(P), Gamma    FALSE #> 9235   578 0.6535771 0.125371078  fv      Gamma      RP(P), Gamma    FALSE #> 9251   579 0.6463148 0.124602683  fv      Gamma      RP(P), Gamma    FALSE #> 9267   580 0.6122098 0.118229398  fv      Gamma      RP(P), Gamma    FALSE #> 9283   581 0.8581943 0.160096945  fv      Gamma      RP(P), Gamma    FALSE #> 9299   582 0.4255333 0.084857238  fv      Gamma      RP(P), Gamma     TRUE #> 9315   583 0.7830994 0.147615332  fv      Gamma      RP(P), Gamma    FALSE #> 9331   584 0.6297757 0.122421778  fv      Gamma      RP(P), Gamma    FALSE #> 9347   585 1.1118116 0.202600547  fv      Gamma      RP(P), Gamma     TRUE #> 9363   586        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 9379   587 0.7835051 0.147939858  fv      Gamma      RP(P), Gamma    FALSE #> 9395   588 0.7974640 0.152143429  fv      Gamma      RP(P), Gamma    FALSE #> 9411   589 0.5862546 0.114190230  fv      Gamma      RP(P), Gamma    FALSE #> 9427   590 0.6735269 0.129506738  fv      Gamma      RP(P), Gamma    FALSE #> 9443   591 0.7163856 0.137360805  fv      Gamma      RP(P), Gamma    FALSE #> 9459   592 0.8887836 0.165763416  fv      Gamma      RP(P), Gamma    FALSE #> 9475   593 0.6961761 0.136894275  fv      Gamma      RP(P), Gamma    FALSE #> 9491   594 0.7225011 0.139237787  fv      Gamma      RP(P), Gamma    FALSE #> 9507   595 0.7110869 0.135311991  fv      Gamma      RP(P), Gamma    FALSE #> 9523   596 0.8419027 0.157392494  fv      Gamma      RP(P), Gamma    FALSE #> 9539   597 0.9726863 0.183877561  fv      Gamma      RP(P), Gamma    FALSE #> 9555   598 0.7321676 0.138931246  fv      Gamma      RP(P), Gamma    FALSE #> 9571   599 1.0933409 0.198947458  fv      Gamma      RP(P), Gamma     TRUE #> 9587   600 0.9365142 0.172756965  fv      Gamma      RP(P), Gamma    FALSE #> 9603   601 0.6900339 0.131971647  fv      Gamma      RP(P), Gamma    FALSE #> 9619   602 0.8071034 0.154541397  fv      Gamma      RP(P), Gamma    FALSE #> 9635   603 0.6864634 0.131149003  fv      Gamma      RP(P), Gamma    FALSE #> 9651   604 0.8388411 0.164957900  fv      Gamma      RP(P), Gamma    FALSE #> 9667   605 0.8991808 0.170856264  fv      Gamma      RP(P), Gamma    FALSE #> 9683   606 0.7896722 0.149157106  fv      Gamma      RP(P), Gamma    FALSE #> 9699   607 0.6483373 0.125688013  fv      Gamma      RP(P), Gamma    FALSE #> 9715   608 0.8165667 0.153820340  fv      Gamma      RP(P), Gamma    FALSE #> 9731   609 0.8902387 0.166429149  fv      Gamma      RP(P), Gamma    FALSE #> 9747   610 0.7933518 0.149471334  fv      Gamma      RP(P), Gamma    FALSE #> 9763   611 0.6512893 0.125696501  fv      Gamma      RP(P), Gamma    FALSE #> 9779   612 0.8855873 0.165210328  fv      Gamma      RP(P), Gamma    FALSE #> 9795   613 0.7551929 0.143131416  fv      Gamma      RP(P), Gamma    FALSE #> 9811   614 0.7010086 0.134204870  fv      Gamma      RP(P), Gamma    FALSE #> 9827   615 0.6334929 0.122282301  fv      Gamma      RP(P), Gamma    FALSE #> 9843   616        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 9859   617 0.9807549 0.184785018  fv      Gamma      RP(P), Gamma    FALSE #> 9875   618 0.5779344 0.112517396  fv      Gamma      RP(P), Gamma    FALSE #> 9891   619 0.6355496 0.122741929  fv      Gamma      RP(P), Gamma    FALSE #> 9907   620 0.6841379 0.131439881  fv      Gamma      RP(P), Gamma    FALSE #> 9923   621 0.7994067 0.150798986  fv      Gamma      RP(P), Gamma    FALSE #> 9939   622 1.1226630 0.204596360  fv      Gamma      RP(P), Gamma     TRUE #> 9955   623 0.5592545 0.109014752  fv      Gamma      RP(P), Gamma    FALSE #> 9971   624 0.7146248 0.135617788  fv      Gamma      RP(P), Gamma    FALSE #> 9987   625 0.6678007 0.128544119  fv      Gamma      RP(P), Gamma    FALSE #> 10003  626 0.5438265 0.107223540  fv      Gamma      RP(P), Gamma    FALSE #> 10019  627 0.6402631 0.127929319  fv      Gamma      RP(P), Gamma    FALSE #> 10035  628 0.7161136 0.135821754  fv      Gamma      RP(P), Gamma    FALSE #> 10051  629 0.5761695 0.113413852  fv      Gamma      RP(P), Gamma    FALSE #> 10067  630 0.9265988 0.172078476  fv      Gamma      RP(P), Gamma    FALSE #> 10083  631 0.8463990 0.163840387  fv      Gamma      RP(P), Gamma    FALSE #> 10099  632 0.5918212 0.115253393  fv      Gamma      RP(P), Gamma    FALSE #> 10115  633 0.5392676 0.105659170  fv      Gamma      RP(P), Gamma    FALSE #> 10131  634 0.5612710 0.109666236  fv      Gamma      RP(P), Gamma    FALSE #> 10147  635 0.4758954 0.095277949  fv      Gamma      RP(P), Gamma    FALSE #> 10163  636 0.6850059 0.132963753  fv      Gamma      RP(P), Gamma    FALSE #> 10179  637 0.7534974 0.142630643  fv      Gamma      RP(P), Gamma    FALSE #> 10195  638 0.6156667 0.122944131  fv      Gamma      RP(P), Gamma    FALSE #> 10211  639 0.7024871 0.133973160  fv      Gamma      RP(P), Gamma    FALSE #> 10227  640 0.6138612 0.120005152  fv      Gamma      RP(P), Gamma    FALSE #> 10243  641 0.6687009 0.127792012  fv      Gamma      RP(P), Gamma    FALSE #> 10259  642 0.6827599 0.131499855  fv      Gamma      RP(P), Gamma    FALSE #> 10275  643 0.6416117 0.123916292  fv      Gamma      RP(P), Gamma    FALSE #> 10291  644 0.9303135 0.178541883  fv      Gamma      RP(P), Gamma    FALSE #> 10307  645 0.5072111 0.099892269  fv      Gamma      RP(P), Gamma    FALSE #> 10323  646 0.5770236 0.112923822  fv      Gamma      RP(P), Gamma    FALSE #> 10339  647 1.0987860 0.202063919  fv      Gamma      RP(P), Gamma     TRUE #> 10355  648 0.7249466 0.137273492  fv      Gamma      RP(P), Gamma    FALSE #> 10371  649 0.8361975 0.156905913  fv      Gamma      RP(P), Gamma    FALSE #> 10387  650 0.9657631 0.179386120  fv      Gamma      RP(P), Gamma    FALSE #> 10403  651 0.9480153 0.175508178  fv      Gamma      RP(P), Gamma    FALSE #> 10419  652 0.7609753 0.144403263  fv      Gamma      RP(P), Gamma    FALSE #> 10435  653 0.9390345 0.178175424  fv      Gamma      RP(P), Gamma    FALSE #> 10451  654 0.6071795 0.117910755  fv      Gamma      RP(P), Gamma    FALSE #> 10467  655 0.6768799 0.129452910  fv      Gamma      RP(P), Gamma    FALSE #> 10483  656 0.7872342 0.148934201  fv      Gamma      RP(P), Gamma    FALSE #> 10499  657 0.7155506 0.136779245  fv      Gamma      RP(P), Gamma    FALSE #> 10515  658 0.8186467 0.154783223  fv      Gamma      RP(P), Gamma    FALSE #> 10531  659 0.8561195 0.161384412  fv      Gamma      RP(P), Gamma    FALSE #> 10547  660 0.7969361 0.153486464  fv      Gamma      RP(P), Gamma    FALSE #> 10563  661 0.5847750 0.113459778  fv      Gamma      RP(P), Gamma    FALSE #> 10579  662 0.4491533 0.089376759  fv      Gamma      RP(P), Gamma     TRUE #> 10595  663 0.6583715 0.127150411  fv      Gamma      RP(P), Gamma    FALSE #> 10611  664 0.7245792 0.137191115  fv      Gamma      RP(P), Gamma    FALSE #> 10627  665 0.6935069 0.133446603  fv      Gamma      RP(P), Gamma    FALSE #> 10643  666 0.6789625 0.133210260  fv      Gamma      RP(P), Gamma    FALSE #> 10659  667        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 10675  668 0.8326042 0.159460222  fv      Gamma      RP(P), Gamma    FALSE #> 10691  669 0.5423378 0.106498804  fv      Gamma      RP(P), Gamma    FALSE #> 10707  670 0.8502685 0.162585636  fv      Gamma      RP(P), Gamma    FALSE #> 10723  671 0.8776545 0.164067176  fv      Gamma      RP(P), Gamma    FALSE #> 10739  672 0.6152927 0.119051797  fv      Gamma      RP(P), Gamma    FALSE #> 10755  673 0.6122459 0.117726094  fv      Gamma      RP(P), Gamma    FALSE #> 10771  674 0.9559380 0.181254051  fv      Gamma      RP(P), Gamma    FALSE #> 10787  675 0.6980390 0.132753824  fv      Gamma      RP(P), Gamma    FALSE #> 10803  676 0.5088804 0.102994006  fv      Gamma      RP(P), Gamma    FALSE #> 10819  677 0.6339165 0.121646475  fv      Gamma      RP(P), Gamma    FALSE #> 10835  678 0.8369559 0.157675553  fv      Gamma      RP(P), Gamma    FALSE #> 10851  679 0.9492848 0.176109260  fv      Gamma      RP(P), Gamma    FALSE #> 10867  680 0.6841460 0.135356905  fv      Gamma      RP(P), Gamma    FALSE #> 10883  681 0.5654321 0.110524762  fv      Gamma      RP(P), Gamma    FALSE #> 10899  682 0.7617394 0.144044913  fv      Gamma      RP(P), Gamma    FALSE #> 10915  683 0.8624482 0.164333849  fv      Gamma      RP(P), Gamma    FALSE #> 10931  684 0.9321014 0.172684748  fv      Gamma      RP(P), Gamma    FALSE #> 10947  685 0.6441355 0.123847642  fv      Gamma      RP(P), Gamma    FALSE #> 10963  686 0.5512106 0.108266248  fv      Gamma      RP(P), Gamma    FALSE #> 10979  687        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 10995  688 0.7248728 0.137856421  fv      Gamma      RP(P), Gamma    FALSE #> 11011  689 0.7052454 0.134429054  fv      Gamma      RP(P), Gamma    FALSE #> 11027  690        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11043  691        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11059  692 0.7287757 0.137960478  fv      Gamma      RP(P), Gamma    FALSE #> 11075  693 0.8591672 0.163147539  fv      Gamma      RP(P), Gamma    FALSE #> 11091  694 0.8546217 0.161886212  fv      Gamma      RP(P), Gamma    FALSE #> 11107  695 0.7359517 0.143204482  fv      Gamma      RP(P), Gamma    FALSE #> 11123  696 0.7274184 0.140975651  fv      Gamma      RP(P), Gamma    FALSE #> 11139  697 0.7343352 0.139432429  fv      Gamma      RP(P), Gamma    FALSE #> 11155  698 0.7107206 0.135622115  fv      Gamma      RP(P), Gamma    FALSE #> 11171  699 0.7219693 0.136624664  fv      Gamma      RP(P), Gamma    FALSE #> 11187  700        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11203  701 0.6390749 0.122901167  fv      Gamma      RP(P), Gamma    FALSE #> 11219  702 0.7207084 0.141765393  fv      Gamma      RP(P), Gamma    FALSE #> 11235  703 0.5731972 0.112301241  fv      Gamma      RP(P), Gamma    FALSE #> 11251  704 0.9050465 0.167387536  fv      Gamma      RP(P), Gamma    FALSE #> 11267  705 0.9729034 0.179704350  fv      Gamma      RP(P), Gamma    FALSE #> 11283  706 0.7510740 0.142142712  fv      Gamma      RP(P), Gamma    FALSE #> 11299  707 0.5762848 0.113425276  fv      Gamma      RP(P), Gamma    FALSE #> 11315  708 0.8182433 0.157478515  fv      Gamma      RP(P), Gamma    FALSE #> 11331  709 0.7488299 0.141777904  fv      Gamma      RP(P), Gamma    FALSE #> 11347  710 0.7464753 0.140839219  fv      Gamma      RP(P), Gamma    FALSE #> 11363  711 0.3895724 0.079456850  fv      Gamma      RP(P), Gamma     TRUE #> 11379  712 0.7226782 0.137898089  fv      Gamma      RP(P), Gamma    FALSE #> 11395  713 0.7579136 0.142711103  fv      Gamma      RP(P), Gamma    FALSE #> 11411  714 0.8613708 0.165279895  fv      Gamma      RP(P), Gamma    FALSE #> 11427  715 0.9499191 0.176494223  fv      Gamma      RP(P), Gamma    FALSE #> 11443  716 0.8153731 0.154756057  fv      Gamma      RP(P), Gamma    FALSE #> 11459  717 0.6266283 0.125506065  fv      Gamma      RP(P), Gamma    FALSE #> 11475  718        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11491  719 0.6487120 0.124374007  fv      Gamma      RP(P), Gamma    FALSE #> 11507  720 0.6467946 0.124681595  fv      Gamma      RP(P), Gamma    FALSE #> 11523  721 0.8677451 0.163658213  fv      Gamma      RP(P), Gamma    FALSE #> 11539  722 0.8762603 0.164114507  fv      Gamma      RP(P), Gamma    FALSE #> 11555  723 0.7702204 0.149232323  fv      Gamma      RP(P), Gamma    FALSE #> 11571  724        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11587  725 0.6452807 0.123798465  fv      Gamma      RP(P), Gamma    FALSE #> 11603  726 0.6388286 0.124187802  fv      Gamma      RP(P), Gamma    FALSE #> 11619  727 0.8294437 0.158131813  fv      Gamma      RP(P), Gamma    FALSE #> 11635  728 0.5498798 0.110995415  fv      Gamma      RP(P), Gamma    FALSE #> 11651  729 0.7956737 0.149669575  fv      Gamma      RP(P), Gamma    FALSE #> 11667  730 0.9039416 0.172983881  fv      Gamma      RP(P), Gamma    FALSE #> 11683  731 0.9129412 0.170480535  fv      Gamma      RP(P), Gamma    FALSE #> 11699  732 0.8631376 0.160142721  fv      Gamma      RP(P), Gamma    FALSE #> 11715  733 0.5700636 0.111318610  fv      Gamma      RP(P), Gamma    FALSE #> 11731  734 0.5720887 0.111838652  fv      Gamma      RP(P), Gamma    FALSE #> 11747  735 0.7865514 0.148067100  fv      Gamma      RP(P), Gamma    FALSE #> 11763  736 0.8314412 0.159749066  fv      Gamma      RP(P), Gamma    FALSE #> 11779  737 0.7051831 0.134332472  fv      Gamma      RP(P), Gamma    FALSE #> 11795  738 0.6441563 0.129738565  fv      Gamma      RP(P), Gamma    FALSE #> 11811  739 0.6962830 0.133154711  fv      Gamma      RP(P), Gamma    FALSE #> 11827  740 0.6820458 0.130662984  fv      Gamma      RP(P), Gamma    FALSE #> 11843  741        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11859  742 0.6129049 0.118716275  fv      Gamma      RP(P), Gamma    FALSE #> 11875  743 0.7773048 0.146924665  fv      Gamma      RP(P), Gamma    FALSE #> 11891  744 1.0015653 0.188279252  fv      Gamma      RP(P), Gamma    FALSE #> 11907  745 0.6374989 0.124833327  fv      Gamma      RP(P), Gamma    FALSE #> 11923  746 0.4555035 0.091061162  fv      Gamma      RP(P), Gamma     TRUE #> 11939  747 0.6241370 0.120584114  fv      Gamma      RP(P), Gamma    FALSE #> 11955  748 0.8319601 0.155303605  fv      Gamma      RP(P), Gamma    FALSE #> 11971  749 0.6239035 0.120784818  fv      Gamma      RP(P), Gamma    FALSE #> 11987  750 0.5559165 0.108448974  fv      Gamma      RP(P), Gamma    FALSE #> 12003  751 0.9025966 0.167345296  fv      Gamma      RP(P), Gamma    FALSE #> 12019  752 0.8153572 0.153739062  fv      Gamma      RP(P), Gamma    FALSE #> 12035  753 0.6272796 0.122999496  fv      Gamma      RP(P), Gamma    FALSE #> 12051  754 0.7630634 0.144501360  fv      Gamma      RP(P), Gamma    FALSE #> 12067  755 0.7765286 0.147048699  fv      Gamma      RP(P), Gamma    FALSE #> 12083  756 1.1339230 0.205593685  fv      Gamma      RP(P), Gamma     TRUE #> 12099  757 0.6148180 0.119394869  fv      Gamma      RP(P), Gamma    FALSE #> 12115  758 0.5432530 0.106690499  fv      Gamma      RP(P), Gamma    FALSE #> 12131  759 0.6139540 0.118795452  fv      Gamma      RP(P), Gamma    FALSE #> 12147  760 0.6053061 0.117009343  fv      Gamma      RP(P), Gamma    FALSE #> 12163  761 0.7687177 0.146506742  fv      Gamma      RP(P), Gamma    FALSE #> 12179  762 0.6503456 0.125085698  fv      Gamma      RP(P), Gamma    FALSE #> 12195  763 0.6147158 0.119201346  fv      Gamma      RP(P), Gamma    FALSE #> 12211  764 0.7158499 0.137306674  fv      Gamma      RP(P), Gamma    FALSE #> 12227  765 0.7002176 0.134930951  fv      Gamma      RP(P), Gamma    FALSE #> 12243  766 0.5657031 0.110972938  fv      Gamma      RP(P), Gamma    FALSE #> 12259  767 0.7776944 0.147857952  fv      Gamma      RP(P), Gamma    FALSE #> 12275  768 0.7286661 0.138405976  fv      Gamma      RP(P), Gamma    FALSE #> 12291  769 0.8013336 0.150430910  fv      Gamma      RP(P), Gamma    FALSE #> 12307  770 0.5887824 0.116113997  fv      Gamma      RP(P), Gamma    FALSE #> 12323  771 0.5586792 0.109343864  fv      Gamma      RP(P), Gamma    FALSE #> 12339  772 0.8625072 0.165893739  fv      Gamma      RP(P), Gamma    FALSE #> 12355  773 0.6841501 0.132154034  fv      Gamma      RP(P), Gamma    FALSE #> 12371  774 0.7403145 0.140287332  fv      Gamma      RP(P), Gamma    FALSE #> 12387  775 0.9725393 0.183070759  fv      Gamma      RP(P), Gamma    FALSE #> 12403  776 0.7450303 0.140817496  fv      Gamma      RP(P), Gamma    FALSE #> 12419  777 0.6343648 0.122711321  fv      Gamma      RP(P), Gamma    FALSE #> 12435  778 0.7993270 0.151902110  fv      Gamma      RP(P), Gamma    FALSE #> 12451  779 0.8088646 0.152875106  fv      Gamma      RP(P), Gamma    FALSE #> 12467  780        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 12483  781 0.6087847 0.119407501  fv      Gamma      RP(P), Gamma    FALSE #> 12499  782 0.6605803 0.131867548  fv      Gamma      RP(P), Gamma    FALSE #> 12515  783 0.7750586 0.146132801  fv      Gamma      RP(P), Gamma    FALSE #> 12531  784 0.6495380 0.124443981  fv      Gamma      RP(P), Gamma    FALSE #> 12547  785 0.6407272 0.123198032  fv      Gamma      RP(P), Gamma    FALSE #> 12563  786 0.9000376 0.168714826  fv      Gamma      RP(P), Gamma    FALSE #> 12579  787 0.8111483 0.157542078  fv      Gamma      RP(P), Gamma    FALSE #> 12595  788 0.7380264 0.140992473  fv      Gamma      RP(P), Gamma    FALSE #> 12611  789 0.8476976 0.161406608  fv      Gamma      RP(P), Gamma    FALSE #> 12627  790 0.9024427 0.172655911  fv      Gamma      RP(P), Gamma    FALSE #> 12643  791 0.9430376 0.178166763  fv      Gamma      RP(P), Gamma    FALSE #> 12659  792 0.9351843 0.174085705  fv      Gamma      RP(P), Gamma    FALSE #> 12675  793 0.6732365 0.129192553  fv      Gamma      RP(P), Gamma    FALSE #> 12691  794 0.3859247 0.078027842  fv      Gamma      RP(P), Gamma     TRUE #> 12707  795 0.6998057 0.134561671  fv      Gamma      RP(P), Gamma    FALSE #> 12723  796 0.7919689 0.150058245  fv      Gamma      RP(P), Gamma    FALSE #> 12739  797 0.6275349 0.122051366  fv      Gamma      RP(P), Gamma    FALSE #> 12755  798 0.5850261 0.114219338  fv      Gamma      RP(P), Gamma    FALSE #> 12771  799 0.9191908 0.178128093  fv      Gamma      RP(P), Gamma    FALSE #> 12787  800 0.8922223 0.166340459  fv      Gamma      RP(P), Gamma    FALSE #> 12803  801 0.6043574 0.118347117  fv      Gamma      RP(P), Gamma    FALSE #> 12819  802 0.6171306 0.118894255  fv      Gamma      RP(P), Gamma    FALSE #> 12835  803 0.7658729 0.144480842  fv      Gamma      RP(P), Gamma    FALSE #> 12851  804 0.7889772 0.149222466  fv      Gamma      RP(P), Gamma    FALSE #> 12867  805 0.8005181 0.151346516  fv      Gamma      RP(P), Gamma    FALSE #> 12883  806 0.5808515 0.112939967  fv      Gamma      RP(P), Gamma    FALSE #> 12899  807 0.9661626 0.179076575  fv      Gamma      RP(P), Gamma    FALSE #> 12915  808 0.7042314 0.138042522  fv      Gamma      RP(P), Gamma    FALSE #> 12931  809 0.8734012 0.167819080  fv      Gamma      RP(P), Gamma    FALSE #> 12947  810 0.7531191 0.142535233  fv      Gamma      RP(P), Gamma    FALSE #> 12963  811 0.9776521 0.180079230  fv      Gamma      RP(P), Gamma    FALSE #> 12979  812 0.6756066 0.130110250  fv      Gamma      RP(P), Gamma    FALSE #> 12995  813 0.8547872 0.159923942  fv      Gamma      RP(P), Gamma    FALSE #> 13011  814 0.8478379 0.160402232  fv      Gamma      RP(P), Gamma    FALSE #> 13027  815 1.0381546 0.193586062  fv      Gamma      RP(P), Gamma     TRUE #> 13043  816 0.6065386 0.119016822  fv      Gamma      RP(P), Gamma    FALSE #> 13059  817 0.8312686 0.160699876  fv      Gamma      RP(P), Gamma    FALSE #> 13075  818 0.6723233 0.130326892  fv      Gamma      RP(P), Gamma    FALSE #> 13091  819 0.9040734 0.172206834  fv      Gamma      RP(P), Gamma    FALSE #> 13107  820 0.6626870 0.126985479  fv      Gamma      RP(P), Gamma    FALSE #> 13123  821 0.7749392 0.149228961  fv      Gamma      RP(P), Gamma    FALSE #> 13139  822 0.5198505 0.102096349  fv      Gamma      RP(P), Gamma    FALSE #> 13155  823 0.7135305 0.136903270  fv      Gamma      RP(P), Gamma    FALSE #> 13171  824 0.7431181 0.141763121  fv      Gamma      RP(P), Gamma    FALSE #> 13187  825 0.5631657 0.110129879  fv      Gamma      RP(P), Gamma    FALSE #> 13203  826 0.7061344 0.133539029  fv      Gamma      RP(P), Gamma    FALSE #> 13219  827 0.6528873 0.124927870  fv      Gamma      RP(P), Gamma    FALSE #> 13235  828 0.9604082 0.181879005  fv      Gamma      RP(P), Gamma    FALSE #> 13251  829 0.6024186 0.116726974  fv      Gamma      RP(P), Gamma    FALSE #> 13267  830 0.8517937 0.160118257  fv      Gamma      RP(P), Gamma    FALSE #> 13283  831 0.5413722 0.107776935  fv      Gamma      RP(P), Gamma    FALSE #> 13299  832 0.7271789 0.138304720  fv      Gamma      RP(P), Gamma    FALSE #> 13315  833 0.7249351 0.138256244  fv      Gamma      RP(P), Gamma    FALSE #> 13331  834 0.5385471 0.106479275  fv      Gamma      RP(P), Gamma    FALSE #> 13347  835 0.6823086 0.130247610  fv      Gamma      RP(P), Gamma    FALSE #> 13363  836 0.7231375 0.138611031  fv      Gamma      RP(P), Gamma    FALSE #> 13379  837 0.6984835 0.134825376  fv      Gamma      RP(P), Gamma    FALSE #> 13395  838 0.9073089 0.168321113  fv      Gamma      RP(P), Gamma    FALSE #> 13411  839 0.6372419 0.123018519  fv      Gamma      RP(P), Gamma    FALSE #> 13427  840 0.7448403 0.141879837  fv      Gamma      RP(P), Gamma    FALSE #> 13443  841 0.7244250 0.136804241  fv      Gamma      RP(P), Gamma    FALSE #> 13459  842 0.7297928 0.140145685  fv      Gamma      RP(P), Gamma    FALSE #> 13475  843 0.9415358 0.175690499  fv      Gamma      RP(P), Gamma    FALSE #> 13491  844 0.7608448 0.146469678  fv      Gamma      RP(P), Gamma    FALSE #> 13507  845 0.8961165 0.167892095  fv      Gamma      RP(P), Gamma    FALSE #> 13523  846 0.6313314 0.123796847  fv      Gamma      RP(P), Gamma    FALSE #> 13539  847 0.6408113 0.126385690  fv      Gamma      RP(P), Gamma    FALSE #> 13555  848 0.5258133 0.103834384  fv      Gamma      RP(P), Gamma    FALSE #> 13571  849 0.7230815 0.136689050  fv      Gamma      RP(P), Gamma    FALSE #> 13587  850 0.6668834 0.127661821  fv      Gamma      RP(P), Gamma    FALSE #> 13603  851 0.7700720 0.146643873  fv      Gamma      RP(P), Gamma    FALSE #> 13619  852 0.4635693 0.092359411  fv      Gamma      RP(P), Gamma    FALSE #> 13635  853 0.7474297 0.141513530  fv      Gamma      RP(P), Gamma    FALSE #> 13651  854 0.5512805 0.108040252  fv      Gamma      RP(P), Gamma    FALSE #> 13667  855 0.9322641 0.173321281  fv      Gamma      RP(P), Gamma    FALSE #> 13683  856 0.8130425 0.152735715  fv      Gamma      RP(P), Gamma    FALSE #> 13699  857 0.5913117 0.115856491  fv      Gamma      RP(P), Gamma    FALSE #> 13715  858 0.6348206 0.123095885  fv      Gamma      RP(P), Gamma    FALSE #> 13731  859 0.6829374 0.133973853  fv      Gamma      RP(P), Gamma    FALSE #> 13747  860 0.6630881 0.127449186  fv      Gamma      RP(P), Gamma    FALSE #> 13763  861 0.8296646 0.156284689  fv      Gamma      RP(P), Gamma    FALSE #> 13779  862 0.6256559 0.120163322  fv      Gamma      RP(P), Gamma    FALSE #> 13795  863 0.7547157 0.143508193  fv      Gamma      RP(P), Gamma    FALSE #> 13811  864 0.7274700 0.139329512  fv      Gamma      RP(P), Gamma    FALSE #> 13827  865 0.7915269 0.150148411  fv      Gamma      RP(P), Gamma    FALSE #> 13843  866 0.6938166 0.132710273  fv      Gamma      RP(P), Gamma    FALSE #> 13859  867 0.7270595 0.138558270  fv      Gamma      RP(P), Gamma    FALSE #> 13875  868 0.7646349 0.145030386  fv      Gamma      RP(P), Gamma    FALSE #> 13891  869 0.7412567 0.141031242  fv      Gamma      RP(P), Gamma    FALSE #> 13907  870 0.6928811 0.135884346  fv      Gamma      RP(P), Gamma    FALSE #> 13923  871        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 13939  872 0.8741667 0.164519963  fv      Gamma      RP(P), Gamma    FALSE #> 13955  873 0.8141794 0.152418868  fv      Gamma      RP(P), Gamma    FALSE #> 13971  874 1.0582781 0.201045860  fv      Gamma      RP(P), Gamma     TRUE #> 13987  875 0.6152695 0.118843687  fv      Gamma      RP(P), Gamma    FALSE #> 14003  876 0.6653659 0.127197470  fv      Gamma      RP(P), Gamma    FALSE #> 14019  877 0.7482744 0.141869490  fv      Gamma      RP(P), Gamma    FALSE #> 14035  878 0.7940041 0.152669508  fv      Gamma      RP(P), Gamma    FALSE #> 14051  879 0.7056140 0.139457238  fv      Gamma      RP(P), Gamma    FALSE #> 14067  880 0.9237356 0.171450639  fv      Gamma      RP(P), Gamma    FALSE #> 14083  881        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 14099  882 0.9622642 0.177419442  fv      Gamma      RP(P), Gamma    FALSE #> 14115  883 0.6122745 0.118943858  fv      Gamma      RP(P), Gamma    FALSE #> 14131  884 0.6036147 0.116254204  fv      Gamma      RP(P), Gamma    FALSE #> 14147  885 0.5917685 0.115023471  fv      Gamma      RP(P), Gamma    FALSE #> 14163  886 0.5903262 0.115035223  fv      Gamma      RP(P), Gamma    FALSE #> 14179  887 0.7178929 0.137358795  fv      Gamma      RP(P), Gamma    FALSE #> 14195  888 0.9596692 0.177126009  fv      Gamma      RP(P), Gamma    FALSE #> 14211  889 0.8047857 0.150574821  fv      Gamma      RP(P), Gamma    FALSE #> 14227  890 0.6195377 0.120542563  fv      Gamma      RP(P), Gamma    FALSE #> 14243  891 0.5142069 0.100991313  fv      Gamma      RP(P), Gamma    FALSE #> 14259  892 0.6862121 0.131311434  fv      Gamma      RP(P), Gamma    FALSE #> 14275  893 0.8301538 0.158225903  fv      Gamma      RP(P), Gamma    FALSE #> 14291  894 0.5690579 0.111132288  fv      Gamma      RP(P), Gamma    FALSE #> 14307  895 0.7646876 0.145255201  fv      Gamma      RP(P), Gamma    FALSE #> 14323  896 0.8736150 0.162750200  fv      Gamma      RP(P), Gamma    FALSE #> 14339  897 0.7174357 0.136603078  fv      Gamma      RP(P), Gamma    FALSE #> 14355  898 0.9077453 0.168301401  fv      Gamma      RP(P), Gamma    FALSE #> 14371  899 0.7703075 0.146578385  fv      Gamma      RP(P), Gamma    FALSE #> 14387  900 0.7968261 0.152992830  fv      Gamma      RP(P), Gamma    FALSE #> 14403  901 0.6041539 0.117492458  fv      Gamma      RP(P), Gamma    FALSE #> 14419  902 0.5806196 0.112757680  fv      Gamma      RP(P), Gamma    FALSE #> 14435  903 0.6449749 0.123830439  fv      Gamma      RP(P), Gamma    FALSE #> 14451  904 1.0648896 0.202836264  fv      Gamma      RP(P), Gamma     TRUE #> 14467  905 0.6172244 0.118612589  fv      Gamma      RP(P), Gamma    FALSE #> 14483  906 0.9307485 0.171739678  fv      Gamma      RP(P), Gamma    FALSE #> 14499  907 0.7212674 0.137324092  fv      Gamma      RP(P), Gamma    FALSE #> 14515  908 0.6557254 0.129913240  fv      Gamma      RP(P), Gamma    FALSE #> 14531  909 0.6191823 0.120399527  fv      Gamma      RP(P), Gamma    FALSE #> 14547  910 0.5543950 0.108411251  fv      Gamma      RP(P), Gamma    FALSE #> 14563  911 0.7093924 0.139027722  fv      Gamma      RP(P), Gamma    FALSE #> 14579  912 0.5474285 0.106437830  fv      Gamma      RP(P), Gamma    FALSE #> 14595  913 0.7027527 0.133771400  fv      Gamma      RP(P), Gamma    FALSE #> 14611  914 0.6350090 0.123912603  fv      Gamma      RP(P), Gamma    FALSE #> 14627  915 0.8877144 0.168402032  fv      Gamma      RP(P), Gamma    FALSE #> 14643  916 0.5324769 0.103993777  fv      Gamma      RP(P), Gamma    FALSE #> 14659  917 0.8257094 0.158306447  fv      Gamma      RP(P), Gamma    FALSE #> 14675  918 0.7822604 0.147161994  fv      Gamma      RP(P), Gamma    FALSE #> 14691  919 0.5649634 0.109871170  fv      Gamma      RP(P), Gamma    FALSE #> 14707  920 0.7581416 0.142890003  fv      Gamma      RP(P), Gamma    FALSE #> 14723  921 0.8239834 0.155853841  fv      Gamma      RP(P), Gamma    FALSE #> 14739  922 1.0610788 0.198654926  fv      Gamma      RP(P), Gamma     TRUE #> 14755  923 0.7195818 0.136933304  fv      Gamma      RP(P), Gamma    FALSE #> 14771  924 0.7698761 0.144921933  fv      Gamma      RP(P), Gamma    FALSE #> 14787  925 0.8687568 0.166258634  fv      Gamma      RP(P), Gamma    FALSE #> 14803  926 0.7069269 0.133988760  fv      Gamma      RP(P), Gamma    FALSE #> 14819  927 0.4598690 0.091786557  fv      Gamma      RP(P), Gamma    FALSE #> 14835  928 0.6924455 0.131790224  fv      Gamma      RP(P), Gamma    FALSE #> 14851  929        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 14867  930 0.8848479 0.169540478  fv      Gamma      RP(P), Gamma    FALSE #> 14883  931 0.6753327 0.128916825  fv      Gamma      RP(P), Gamma    FALSE #> 14899  932 0.8372623 0.156313520  fv      Gamma      RP(P), Gamma    FALSE #> 14915  933 0.6307088 0.122091618  fv      Gamma      RP(P), Gamma    FALSE #> 14931  934 0.6027997 0.116538645  fv      Gamma      RP(P), Gamma    FALSE #> 14947  935 0.5052707 0.100596407  fv      Gamma      RP(P), Gamma    FALSE #> 14963  936 0.5930017 0.114762813  fv      Gamma      RP(P), Gamma    FALSE #> 14979  937 1.1060700 0.204812720  fv      Gamma      RP(P), Gamma     TRUE #> 14995  938 0.7900036 0.149577687  fv      Gamma      RP(P), Gamma    FALSE #> 15011  939 0.8269911 0.155312585  fv      Gamma      RP(P), Gamma    FALSE #> 15027  940 0.7651135 0.144304466  fv      Gamma      RP(P), Gamma    FALSE #> 15043  941 0.6356078 0.122487768  fv      Gamma      RP(P), Gamma    FALSE #> 15059  942 0.6473050 0.124922562  fv      Gamma      RP(P), Gamma    FALSE #> 15075  943 0.4807370 0.095724602  fv      Gamma      RP(P), Gamma    FALSE #> 15091  944 0.6194064 0.119154705  fv      Gamma      RP(P), Gamma    FALSE #> 15107  945 0.6175935 0.119838731  fv      Gamma      RP(P), Gamma    FALSE #> 15123  946 0.7670644 0.149036648  fv      Gamma      RP(P), Gamma    FALSE #> 15139  947 0.6811637 0.132119739  fv      Gamma      RP(P), Gamma    FALSE #> 15155  948 0.5151351 0.102962455  fv      Gamma      RP(P), Gamma    FALSE #> 15171  949 0.6194144 0.120993729  fv      Gamma      RP(P), Gamma    FALSE #> 15187  950 0.6245088 0.122145644  fv      Gamma      RP(P), Gamma    FALSE #> 15203  951 0.7155764 0.136307065  fv      Gamma      RP(P), Gamma    FALSE #> 15219  952 0.6737609 0.129729678  fv      Gamma      RP(P), Gamma    FALSE #> 15235  953 1.0941966 0.202309534  fv      Gamma      RP(P), Gamma     TRUE #> 15251  954 0.6752267 0.129373036  fv      Gamma      RP(P), Gamma    FALSE #> 15267  955 0.8191963 0.153734262  fv      Gamma      RP(P), Gamma    FALSE #> 15283  956 0.6642468 0.128557962  fv      Gamma      RP(P), Gamma    FALSE #> 15299  957 0.6334643 0.123008889  fv      Gamma      RP(P), Gamma    FALSE #> 15315  958 0.5365145 0.105276009  fv      Gamma      RP(P), Gamma    FALSE #> 15331  959 0.5981546 0.115741211  fv      Gamma      RP(P), Gamma    FALSE #> 15347  960 0.7820444 0.148491202  fv      Gamma      RP(P), Gamma    FALSE #> 15363  961 0.5120426 0.101261877  fv      Gamma      RP(P), Gamma    FALSE #> 15379  962 0.9039760 0.168664395  fv      Gamma      RP(P), Gamma    FALSE #> 15395  963 0.8351072 0.158257000  fv      Gamma      RP(P), Gamma    FALSE #> 15411  964 0.6922496 0.132776055  fv      Gamma      RP(P), Gamma    FALSE #> 15427  965 0.6365475 0.123530828  fv      Gamma      RP(P), Gamma    FALSE #> 15443  966 0.7682227 0.146838969  fv      Gamma      RP(P), Gamma    FALSE #> 15459  967 0.6676674 0.127821817  fv      Gamma      RP(P), Gamma    FALSE #> 15475  968 0.5625265 0.109741850  fv      Gamma      RP(P), Gamma    FALSE #> 15491  969 0.7509732 0.144589636  fv      Gamma      RP(P), Gamma    FALSE #> 15507  970 0.7023211 0.138688899  fv      Gamma      RP(P), Gamma    FALSE #> 15523  971 0.6365563 0.123319119  fv      Gamma      RP(P), Gamma    FALSE #> 15539  972 0.6556819 0.129732139  fv      Gamma      RP(P), Gamma    FALSE #> 15555  973 0.9647090 0.185057265  fv      Gamma      RP(P), Gamma    FALSE #> 15571  974 0.5263112 0.103972669  fv      Gamma      RP(P), Gamma    FALSE #> 15587  975 0.5028392 0.099877710  fv      Gamma      RP(P), Gamma    FALSE #> 15603  976 0.7556945 0.143837742  fv      Gamma      RP(P), Gamma    FALSE #> 15619  977 0.8499235 0.158553778  fv      Gamma      RP(P), Gamma    FALSE #> 15635  978 0.8299769 0.159832741  fv      Gamma      RP(P), Gamma    FALSE #> 15651  979 0.8153734 0.157312216  fv      Gamma      RP(P), Gamma    FALSE #> 15667  980 0.5361506 0.105128657  fv      Gamma      RP(P), Gamma    FALSE #> 15683  981 0.7147316 0.137951031  fv      Gamma      RP(P), Gamma    FALSE #> 15699  982 0.9684844 0.181555375  fv      Gamma      RP(P), Gamma    FALSE #> 15715  983 0.5330180 0.105260888  fv      Gamma      RP(P), Gamma    FALSE #> 15731  984 0.7522072 0.143060278  fv      Gamma      RP(P), Gamma    FALSE #> 15747  985 0.8205779 0.157882770  fv      Gamma      RP(P), Gamma    FALSE #> 15763  986 0.6120942 0.117431990  fv      Gamma      RP(P), Gamma    FALSE #> 15779  987 0.5490514 0.107616085  fv      Gamma      RP(P), Gamma    FALSE #> 15795  988 0.6296822 0.121481511  fv      Gamma      RP(P), Gamma    FALSE #> 15811  989 0.7954111 0.149703493  fv      Gamma      RP(P), Gamma    FALSE #> 15827  990 0.7113507 0.134852556  fv      Gamma      RP(P), Gamma    FALSE #> 15843  991 0.7586014 0.144688767  fv      Gamma      RP(P), Gamma    FALSE #> 15859  992 0.7789712 0.148678906  fv      Gamma      RP(P), Gamma    FALSE #> 15875  993 0.9452686 0.175283351  fv      Gamma      RP(P), Gamma    FALSE #> 15891  994 0.6625835 0.127525541  fv      Gamma      RP(P), Gamma    FALSE #> 15907  995 0.8179336 0.154628613  fv      Gamma      RP(P), Gamma    FALSE #> 15923  996 0.6698410 0.128532500  fv      Gamma      RP(P), Gamma    FALSE #> 15939  997 0.6029261 0.120579994  fv      Gamma      RP(P), Gamma    FALSE #> 15955  998 0.6444980 0.124308172  fv      Gamma      RP(P), Gamma    FALSE #> 15971  999 0.5097824 0.100070485  fv      Gamma      RP(P), Gamma    FALSE #> 15987 1000 0.5002252 0.099547221  fv      Gamma      RP(P), Gamma    FALSE #> 4        1 0.8410503 0.180489790  fv      Gamma RP(P), Log-Normal    FALSE #> 20       2 0.8678277 0.194181070  fv      Gamma RP(P), Log-Normal    FALSE #> 36       3 1.5656905 0.354448508  fv      Gamma RP(P), Log-Normal     TRUE #> 52       4 1.2089109 0.260522826  fv      Gamma RP(P), Log-Normal    FALSE #> 68       5 0.9105106 0.200479265  fv      Gamma RP(P), Log-Normal    FALSE #> 84       6 0.9727359 0.207142387  fv      Gamma RP(P), Log-Normal    FALSE #> 100      7 0.9091356 0.198318108  fv      Gamma RP(P), Log-Normal    FALSE #> 116      8 1.3377013 0.293288046  fv      Gamma RP(P), Log-Normal    FALSE #> 132      9 1.2350450 0.276016839  fv      Gamma RP(P), Log-Normal    FALSE #> 148     10 0.9974789 0.217294847  fv      Gamma RP(P), Log-Normal    FALSE #> 164     11 1.0414795 0.229502409  fv      Gamma RP(P), Log-Normal    FALSE #> 180     12 1.4499625 0.321000485  fv      Gamma RP(P), Log-Normal    FALSE #> 196     13 1.2289253 0.270499075  fv      Gamma RP(P), Log-Normal    FALSE #> 212     14 0.7903710 0.178471107  fv      Gamma RP(P), Log-Normal    FALSE #> 228     15 1.1996110 0.263087699  fv      Gamma RP(P), Log-Normal    FALSE #> 244     16 1.2290670 0.262683325  fv      Gamma RP(P), Log-Normal    FALSE #> 260     17 0.7668133 0.166707205  fv      Gamma RP(P), Log-Normal    FALSE #> 276     18 0.5614283 0.129201981  fv      Gamma RP(P), Log-Normal    FALSE #> 292     19 0.8973139 0.194570679  fv      Gamma RP(P), Log-Normal    FALSE #> 308     20 1.2979832 0.290290296  fv      Gamma RP(P), Log-Normal    FALSE #> 324     21 0.6887073 0.156427688  fv      Gamma RP(P), Log-Normal    FALSE #> 340     22 1.2170119 0.272426758  fv      Gamma RP(P), Log-Normal    FALSE #> 356     23 0.8168514 0.177990111  fv      Gamma RP(P), Log-Normal    FALSE #> 372     24 1.0319698 0.223783982  fv      Gamma RP(P), Log-Normal    FALSE #> 388     25 1.1205947 0.246445015  fv      Gamma RP(P), Log-Normal    FALSE #> 404     26 0.9638065 0.214741205  fv      Gamma RP(P), Log-Normal    FALSE #> 420     27 1.8077166 0.405187974  fv      Gamma RP(P), Log-Normal     TRUE #> 436     28 1.4582922 0.319696485  fv      Gamma RP(P), Log-Normal    FALSE #> 452     29 1.2743998 0.277048737  fv      Gamma RP(P), Log-Normal    FALSE #> 468     30 1.4103568 0.311798652  fv      Gamma RP(P), Log-Normal    FALSE #> 484     31 0.8138218 0.185276938  fv      Gamma RP(P), Log-Normal    FALSE #> 500     32 0.9982089 0.220955990  fv      Gamma RP(P), Log-Normal    FALSE #> 516     33 0.8061031 0.175345832  fv      Gamma RP(P), Log-Normal    FALSE #> 532     34 0.7039887 0.153529988  fv      Gamma RP(P), Log-Normal    FALSE #> 548     35 1.0346859 0.233365573  fv      Gamma RP(P), Log-Normal    FALSE #> 564     36 0.7549084 0.171089345  fv      Gamma RP(P), Log-Normal    FALSE #> 580     37 0.7130831 0.152936839  fv      Gamma RP(P), Log-Normal    FALSE #> 596     38 0.6323124 0.137321184  fv      Gamma RP(P), Log-Normal    FALSE #> 612     39 0.9223978 0.197745952  fv      Gamma RP(P), Log-Normal    FALSE #> 628     40 0.5917448 0.131429331  fv      Gamma RP(P), Log-Normal    FALSE #> 644     41 1.7030475 0.362512848  fv      Gamma RP(P), Log-Normal     TRUE #> 660     42 0.9836085 0.221167054  fv      Gamma RP(P), Log-Normal    FALSE #> 676     43 1.0892011 0.236781660  fv      Gamma RP(P), Log-Normal    FALSE #> 692     44 1.0691287 0.229946817  fv      Gamma RP(P), Log-Normal    FALSE #> 708     45 0.9125777 0.193490742  fv      Gamma RP(P), Log-Normal    FALSE #> 724     46 0.8640446 0.183399015  fv      Gamma RP(P), Log-Normal    FALSE #> 740     47 1.3812417 0.310356076  fv      Gamma RP(P), Log-Normal    FALSE #> 756     48 0.9461687 0.209437725  fv      Gamma RP(P), Log-Normal    FALSE #> 772     49 1.2123569 0.272535046  fv      Gamma RP(P), Log-Normal    FALSE #> 788     50 1.0157173 0.219640404  fv      Gamma RP(P), Log-Normal    FALSE #> 804     51 1.2240924 0.266048868  fv      Gamma RP(P), Log-Normal    FALSE #> 820     52 0.6314951 0.135520991  fv      Gamma RP(P), Log-Normal    FALSE #> 836     53 0.7902155 0.170518782  fv      Gamma RP(P), Log-Normal    FALSE #> 852     54 0.6234466 0.136430712  fv      Gamma RP(P), Log-Normal    FALSE #> 868     55 1.1077144 0.243206554  fv      Gamma RP(P), Log-Normal    FALSE #> 884     56 0.8032454 0.176040775  fv      Gamma RP(P), Log-Normal    FALSE #> 900     57 1.0879018 0.236307364  fv      Gamma RP(P), Log-Normal    FALSE #> 916     58 0.9079961 0.206563826  fv      Gamma RP(P), Log-Normal    FALSE #> 932     59 0.8521420 0.182802754  fv      Gamma RP(P), Log-Normal    FALSE #> 948     60 1.1246211 0.247632446  fv      Gamma RP(P), Log-Normal    FALSE #> 964     61 0.8496498 0.182406159  fv      Gamma RP(P), Log-Normal    FALSE #> 980     62 0.6798459 0.145192799  fv      Gamma RP(P), Log-Normal    FALSE #> 996     63 1.1786060 0.259638432  fv      Gamma RP(P), Log-Normal    FALSE #> 1012    64 0.8159884 0.175037739  fv      Gamma RP(P), Log-Normal    FALSE #> 1028    65 0.8800785 0.187329515  fv      Gamma RP(P), Log-Normal    FALSE #> 1044    66 0.6475174 0.141594919  fv      Gamma RP(P), Log-Normal    FALSE #> 1060    67 1.1346861 0.243224867  fv      Gamma RP(P), Log-Normal    FALSE #> 1076    68 0.9451782 0.204530548  fv      Gamma RP(P), Log-Normal    FALSE #> 1092    69 0.6591367 0.142421595  fv      Gamma RP(P), Log-Normal    FALSE #> 1108    70 0.8957225 0.201454630  fv      Gamma RP(P), Log-Normal    FALSE #> 1124    71 1.2425651 0.269862801  fv      Gamma RP(P), Log-Normal    FALSE #> 1140    72 0.7988484 0.172472083  fv      Gamma RP(P), Log-Normal    FALSE #> 1156    73 0.5992919 0.131137709  fv      Gamma RP(P), Log-Normal    FALSE #> 1172    74 0.8804460 0.189838649  fv      Gamma RP(P), Log-Normal    FALSE #> 1188    75 0.9777687 0.216420261  fv      Gamma RP(P), Log-Normal    FALSE #> 1204    76 0.9693736 0.219502318  fv      Gamma RP(P), Log-Normal    FALSE #> 1220    77 1.0165404 0.226139509  fv      Gamma RP(P), Log-Normal    FALSE #> 1236    78 1.4399271 0.315071555  fv      Gamma RP(P), Log-Normal    FALSE #> 1252    79 2.1221995 0.470009490  fv      Gamma RP(P), Log-Normal     TRUE #> 1268    80 0.7791535 0.174703739  fv      Gamma RP(P), Log-Normal    FALSE #> 1284    81 1.2547237 0.280827316  fv      Gamma RP(P), Log-Normal    FALSE #> 1300    82 0.9467868 0.204477217  fv      Gamma RP(P), Log-Normal    FALSE #> 1316    83 0.6230714 0.145922655  fv      Gamma RP(P), Log-Normal    FALSE #> 1332    84 0.9656183 0.208305949  fv      Gamma RP(P), Log-Normal    FALSE #> 1348    85 0.8409584 0.179338509  fv      Gamma RP(P), Log-Normal    FALSE #> 1364    86 0.8783902 0.188634107  fv      Gamma RP(P), Log-Normal    FALSE #> 1380    87 0.7891754 0.171683960  fv      Gamma RP(P), Log-Normal    FALSE #> 1396    88 0.8889765 0.189117565  fv      Gamma RP(P), Log-Normal    FALSE #> 1412    89 1.0136504 0.220546193  fv      Gamma RP(P), Log-Normal    FALSE #> 1428    90 1.1286349 0.241320253  fv      Gamma RP(P), Log-Normal    FALSE #> 1444    91 0.9312858 0.201825397  fv      Gamma RP(P), Log-Normal    FALSE #> 1460    92 0.8289786 0.178341610  fv      Gamma RP(P), Log-Normal    FALSE #> 1476    93 1.4146168 0.330757275  fv      Gamma RP(P), Log-Normal     TRUE #> 1492    94 1.1853824 0.265460198  fv      Gamma RP(P), Log-Normal    FALSE #> 1508    95 0.9465371 0.204446330  fv      Gamma RP(P), Log-Normal    FALSE #> 1524    96 0.5360025 0.117580795  fv      Gamma RP(P), Log-Normal    FALSE #> 1540    97 0.7049504 0.150930049  fv      Gamma RP(P), Log-Normal    FALSE #> 1556    98 1.0626450 0.230692215  fv      Gamma RP(P), Log-Normal    FALSE #> 1572    99 0.7236906 0.160439565  fv      Gamma RP(P), Log-Normal    FALSE #> 1588   100 1.2194488 0.261578712  fv      Gamma RP(P), Log-Normal    FALSE #> 1604   101 1.0668733 0.228523775  fv      Gamma RP(P), Log-Normal    FALSE #> 1620   102 0.9285004 0.200447554  fv      Gamma RP(P), Log-Normal    FALSE #> 1636   103 1.3458088 0.304378913  fv      Gamma RP(P), Log-Normal    FALSE #> 1652   104 1.0710874 0.231465125  fv      Gamma RP(P), Log-Normal    FALSE #> 1668   105 1.2613946 0.281394393  fv      Gamma RP(P), Log-Normal    FALSE #> 1684   106 0.8969644 0.193536579  fv      Gamma RP(P), Log-Normal    FALSE #> 1700   107 1.3073644 0.291540572  fv      Gamma RP(P), Log-Normal    FALSE #> 1716   108 1.2015396 0.273156263  fv      Gamma RP(P), Log-Normal    FALSE #> 1732   109 0.9608367 0.215133741  fv      Gamma RP(P), Log-Normal    FALSE #> 1748   110 1.0549760 0.230967027  fv      Gamma RP(P), Log-Normal    FALSE #> 1764   111 1.1546607 0.253379239  fv      Gamma RP(P), Log-Normal    FALSE #> 1780   112 0.5673895 0.125437515  fv      Gamma RP(P), Log-Normal    FALSE #> 1796   113 0.6343064 0.137652658  fv      Gamma RP(P), Log-Normal    FALSE #> 1812   114 1.6994774 0.372630539  fv      Gamma RP(P), Log-Normal     TRUE #> 1828   115 0.8096436 0.174316311  fv      Gamma RP(P), Log-Normal    FALSE #> 1844   116 0.5983113 0.130571723  fv      Gamma RP(P), Log-Normal    FALSE #> 1860   117 1.0752666 0.230788747  fv      Gamma RP(P), Log-Normal    FALSE #> 1876   118 0.6424306 0.138884328  fv      Gamma RP(P), Log-Normal    FALSE #> 1892   119 0.7987293 0.174838654  fv      Gamma RP(P), Log-Normal    FALSE #> 1908   120 0.9198102 0.199426585  fv      Gamma RP(P), Log-Normal    FALSE #> 1924   121 0.7655232 0.165876205  fv      Gamma RP(P), Log-Normal    FALSE #> 1940   122 0.8673380 0.192315723  fv      Gamma RP(P), Log-Normal    FALSE #> 1956   123 0.9257457 0.199557099  fv      Gamma RP(P), Log-Normal    FALSE #> 1972   124 0.9741059 0.208749126  fv      Gamma RP(P), Log-Normal    FALSE #> 1988   125 1.2460856 0.279458468  fv      Gamma RP(P), Log-Normal    FALSE #> 2004   126 1.5223418 0.348979386  fv      Gamma RP(P), Log-Normal     TRUE #> 2020   127 1.0897918 0.233748704  fv      Gamma RP(P), Log-Normal    FALSE #> 2036   128 1.0913695 0.235245203  fv      Gamma RP(P), Log-Normal    FALSE #> 2052   129 0.7759233 0.174810378  fv      Gamma RP(P), Log-Normal    FALSE #> 2068   130 0.8542536 0.185655091  fv      Gamma RP(P), Log-Normal    FALSE #> 2084   131 0.8677951 0.186392333  fv      Gamma RP(P), Log-Normal    FALSE #> 2100   132 1.0182273 0.229239447  fv      Gamma RP(P), Log-Normal    FALSE #> 2116   133 0.9314544 0.204039232  fv      Gamma RP(P), Log-Normal    FALSE #> 2132   134 1.0852088 0.238460386  fv      Gamma RP(P), Log-Normal    FALSE #> 2148   135 0.7909149 0.173975625  fv      Gamma RP(P), Log-Normal    FALSE #> 2164   136 0.9778860 0.214124322  fv      Gamma RP(P), Log-Normal    FALSE #> 2180   137 1.2598163 0.276133548  fv      Gamma RP(P), Log-Normal    FALSE #> 2196   138 1.2809055 0.281451627  fv      Gamma RP(P), Log-Normal    FALSE #> 2212   139 0.7995624 0.172343978  fv      Gamma RP(P), Log-Normal    FALSE #> 2228   140 1.0542020 0.228792828  fv      Gamma RP(P), Log-Normal    FALSE #> 2244   141 0.7478963 0.168448746  fv      Gamma RP(P), Log-Normal    FALSE #> 2260   142 0.9760714 0.213021566  fv      Gamma RP(P), Log-Normal    FALSE #> 2276   143 1.7801465 0.420367979  fv      Gamma RP(P), Log-Normal     TRUE #> 2292   144 1.1180069 0.240026858  fv      Gamma RP(P), Log-Normal    FALSE #> 2308   145 0.8550480 0.185257078  fv      Gamma RP(P), Log-Normal    FALSE #> 2324   146 0.8869459 0.194368374  fv      Gamma RP(P), Log-Normal    FALSE #> 2340   147 1.0416163 0.222624864  fv      Gamma RP(P), Log-Normal    FALSE #> 2356   148 0.6177941 0.133321319  fv      Gamma RP(P), Log-Normal    FALSE #> 2372   149 0.8384950 0.183594689  fv      Gamma RP(P), Log-Normal    FALSE #> 2388   150 1.1818709 0.256428027  fv      Gamma RP(P), Log-Normal    FALSE #> 2404   151 1.1336835 0.246106754  fv      Gamma RP(P), Log-Normal    FALSE #> 2420   152 1.2047244 0.274407174  fv      Gamma RP(P), Log-Normal    FALSE #> 2436   153 0.6319178 0.140024355  fv      Gamma RP(P), Log-Normal    FALSE #> 2452   154 1.1227542 0.243273981  fv      Gamma RP(P), Log-Normal    FALSE #> 2468   155 0.9472756 0.213435649  fv      Gamma RP(P), Log-Normal    FALSE #> 2484   156 0.9353948 0.201845857  fv      Gamma RP(P), Log-Normal    FALSE #> 2500   157 1.4443196 0.325027201  fv      Gamma RP(P), Log-Normal    FALSE #> 2516   158 1.4804150 0.332558943  fv      Gamma RP(P), Log-Normal     TRUE #> 2532   159 0.6630153 0.148287051  fv      Gamma RP(P), Log-Normal    FALSE #> 2548   160 0.6900087 0.149587077  fv      Gamma RP(P), Log-Normal    FALSE #> 2564   161 1.7387701 0.385887845  fv      Gamma RP(P), Log-Normal     TRUE #> 2580   162 0.9687233 0.217750869  fv      Gamma RP(P), Log-Normal    FALSE #> 2596   163 0.6827167 0.145583781  fv      Gamma RP(P), Log-Normal    FALSE #> 2612   164 1.2172745 0.262189900  fv      Gamma RP(P), Log-Normal    FALSE #> 2628   165 1.0784115 0.233084303  fv      Gamma RP(P), Log-Normal    FALSE #> 2644   166 1.1583751 0.261285259  fv      Gamma RP(P), Log-Normal    FALSE #> 2660   167 1.3212424 0.288994706  fv      Gamma RP(P), Log-Normal    FALSE #> 2676   168 1.0892162 0.232654723  fv      Gamma RP(P), Log-Normal    FALSE #> 2692   169 0.9488717 0.210488425  fv      Gamma RP(P), Log-Normal    FALSE #> 2708   170 0.9425105 0.207346315  fv      Gamma RP(P), Log-Normal    FALSE #> 2724   171 0.9648281 0.217152696  fv      Gamma RP(P), Log-Normal    FALSE #> 2740   172 1.1441352 0.247932693  fv      Gamma RP(P), Log-Normal    FALSE #> 2756   173 0.7910405 0.176024495  fv      Gamma RP(P), Log-Normal    FALSE #> 2772   174 1.1316952 0.249970141  fv      Gamma RP(P), Log-Normal    FALSE #> 2788   175 0.8198924 0.180989910  fv      Gamma RP(P), Log-Normal    FALSE #> 2804   176 0.8753872 0.188037677  fv      Gamma RP(P), Log-Normal    FALSE #> 2820   177 0.7720114 0.176313354  fv      Gamma RP(P), Log-Normal    FALSE #> 2836   178 1.1816336 0.253573112  fv      Gamma RP(P), Log-Normal    FALSE #> 2852   179 0.7570887 0.163987104  fv      Gamma RP(P), Log-Normal    FALSE #> 2868   180 1.0248482 0.231084001  fv      Gamma RP(P), Log-Normal    FALSE #> 2884   181 1.1758148 0.255526928  fv      Gamma RP(P), Log-Normal    FALSE #> 2900   182 0.9353048 0.200381412  fv      Gamma RP(P), Log-Normal    FALSE #> 2916   183 0.7649203 0.166913250  fv      Gamma RP(P), Log-Normal    FALSE #> 2932   184 0.9391842 0.210675866  fv      Gamma RP(P), Log-Normal    FALSE #> 2948   185 1.2001237 0.263877714  fv      Gamma RP(P), Log-Normal    FALSE #> 2964   186 1.3870806 0.315929817  fv      Gamma RP(P), Log-Normal    FALSE #> 2980   187 0.9699397 0.211577834  fv      Gamma RP(P), Log-Normal    FALSE #> 2996   188 0.6690904 0.144881941  fv      Gamma RP(P), Log-Normal    FALSE #> 3012   189 1.0329302 0.225123247  fv      Gamma RP(P), Log-Normal    FALSE #> 3028   190 0.9803038 0.208776860  fv      Gamma RP(P), Log-Normal    FALSE #> 3044   191 1.0084836 0.219927110  fv      Gamma RP(P), Log-Normal    FALSE #> 3060   192 1.0550664 0.236314960  fv      Gamma RP(P), Log-Normal    FALSE #> 3076   193 0.8630140 0.189691189  fv      Gamma RP(P), Log-Normal    FALSE #> 3092   194 0.8052466 0.175195362  fv      Gamma RP(P), Log-Normal    FALSE #> 3108   195 1.0968900 0.233922924  fv      Gamma RP(P), Log-Normal    FALSE #> 3124   196 1.1559404 0.256854876  fv      Gamma RP(P), Log-Normal    FALSE #> 3140   197 0.9197354 0.195423075  fv      Gamma RP(P), Log-Normal    FALSE #> 3156   198 0.9870597 0.210203075  fv      Gamma RP(P), Log-Normal    FALSE #> 3172   199 0.7693873 0.169248931  fv      Gamma RP(P), Log-Normal    FALSE #> 3188   200 1.0852385 0.232970650  fv      Gamma RP(P), Log-Normal    FALSE #> 3204   201 1.0582087 0.233919328  fv      Gamma RP(P), Log-Normal    FALSE #> 3220   202 1.1012224 0.237450055  fv      Gamma RP(P), Log-Normal    FALSE #> 3236   203 0.9917678 0.212158246  fv      Gamma RP(P), Log-Normal    FALSE #> 3252   204 1.0600987 0.242348250  fv      Gamma RP(P), Log-Normal    FALSE #> 3268   205 0.7573698 0.166925875  fv      Gamma RP(P), Log-Normal    FALSE #> 3284   206 1.0214815 0.222696133  fv      Gamma RP(P), Log-Normal    FALSE #> 3300   207 0.6835123 0.147794118  fv      Gamma RP(P), Log-Normal    FALSE #> 3316   208 0.9790364 0.214484170  fv      Gamma RP(P), Log-Normal    FALSE #> 3332   209 0.9284396 0.203537107  fv      Gamma RP(P), Log-Normal    FALSE #> 3348   210 0.9177248 0.203825830  fv      Gamma RP(P), Log-Normal    FALSE #> 3364   211 1.4985260 0.338006117  fv      Gamma RP(P), Log-Normal     TRUE #> 3380   212 0.9970864 0.223396310  fv      Gamma RP(P), Log-Normal    FALSE #> 3396   213 1.1144267 0.246404561  fv      Gamma RP(P), Log-Normal    FALSE #> 3412   214 1.0088299 0.226415030  fv      Gamma RP(P), Log-Normal    FALSE #> 3428   215 1.1291796 0.244563544  fv      Gamma RP(P), Log-Normal    FALSE #> 3444   216 1.2609631 0.275896977  fv      Gamma RP(P), Log-Normal    FALSE #> 3460   217 0.8389670 0.184949511  fv      Gamma RP(P), Log-Normal    FALSE #> 3476   218 0.8453860 0.188622069  fv      Gamma RP(P), Log-Normal    FALSE #> 3492   219 1.2183609 0.274303728  fv      Gamma RP(P), Log-Normal    FALSE #> 3508   220 0.7187300 0.156561885  fv      Gamma RP(P), Log-Normal    FALSE #> 3524   221 0.9388220 0.208447345  fv      Gamma RP(P), Log-Normal    FALSE #> 3540   222 1.1209367 0.250349485  fv      Gamma RP(P), Log-Normal    FALSE #> 3556   223 1.0480275 0.237133986  fv      Gamma RP(P), Log-Normal    FALSE #> 3572   224 1.0128154 0.221061644  fv      Gamma RP(P), Log-Normal    FALSE #> 3588   225 0.8044790 0.173788213  fv      Gamma RP(P), Log-Normal    FALSE #> 3604   226 1.3216154 0.300532131  fv      Gamma RP(P), Log-Normal    FALSE #> 3620   227 0.8680673 0.191662277  fv      Gamma RP(P), Log-Normal    FALSE #> 3636   228 1.1162978 0.238070849  fv      Gamma RP(P), Log-Normal    FALSE #> 3652   229 1.1133721 0.244781394  fv      Gamma RP(P), Log-Normal    FALSE #> 3668   230 0.8878602 0.190636787  fv      Gamma RP(P), Log-Normal    FALSE #> 3684   231 1.1544228 0.255759683  fv      Gamma RP(P), Log-Normal    FALSE #> 3700   232 1.0320456 0.230128037  fv      Gamma RP(P), Log-Normal    FALSE #> 3716   233 1.1888143 0.263237985  fv      Gamma RP(P), Log-Normal    FALSE #> 3732   234 0.9164521 0.201120134  fv      Gamma RP(P), Log-Normal    FALSE #> 3748   235 1.1327970 0.257687761  fv      Gamma RP(P), Log-Normal    FALSE #> 3764   236 0.6460332 0.144131419  fv      Gamma RP(P), Log-Normal    FALSE #> 3780   237 0.8430326 0.186855350  fv      Gamma RP(P), Log-Normal    FALSE #> 3796   238 0.8158895 0.183957007  fv      Gamma RP(P), Log-Normal    FALSE #> 3812   239 0.9394292 0.201459225  fv      Gamma RP(P), Log-Normal    FALSE #> 3828   240 1.1606621 0.257905170  fv      Gamma RP(P), Log-Normal    FALSE #> 3844   241 0.8538658 0.185111653  fv      Gamma RP(P), Log-Normal    FALSE #> 3860   242 0.6336259 0.138341079  fv      Gamma RP(P), Log-Normal    FALSE #> 3876   243 1.3611347 0.316943569  fv      Gamma RP(P), Log-Normal    FALSE #> 3892   244 0.6853487 0.148004398  fv      Gamma RP(P), Log-Normal    FALSE #> 3908   245 1.5239087 0.341431129  fv      Gamma RP(P), Log-Normal     TRUE #> 3924   246 0.8620671 0.184937320  fv      Gamma RP(P), Log-Normal    FALSE #> 3940   247 1.0483086 0.230069168  fv      Gamma RP(P), Log-Normal    FALSE #> 3956   248 1.3814399 0.299598493  fv      Gamma RP(P), Log-Normal    FALSE #> 3972   249 1.4587490 0.332527808  fv      Gamma RP(P), Log-Normal     TRUE #> 3988   250 0.9961178 0.219966795  fv      Gamma RP(P), Log-Normal    FALSE #> 4004   251 1.0802323 0.239577478  fv      Gamma RP(P), Log-Normal    FALSE #> 4020   252 1.1573802 0.260140925  fv      Gamma RP(P), Log-Normal    FALSE #> 4036   253 1.2435742 0.287752260  fv      Gamma RP(P), Log-Normal    FALSE #> 4052   254 0.6213066 0.133993890  fv      Gamma RP(P), Log-Normal    FALSE #> 4068   255 0.9306108 0.196210153  fv      Gamma RP(P), Log-Normal    FALSE #> 4084   256 0.9142294 0.199393458  fv      Gamma RP(P), Log-Normal    FALSE #> 4100   257 0.6756633 0.145660199  fv      Gamma RP(P), Log-Normal    FALSE #> 4116   258 1.0192314 0.236693687  fv      Gamma RP(P), Log-Normal    FALSE #> 4132   259 0.9446257 0.205216936  fv      Gamma RP(P), Log-Normal    FALSE #> 4148   260 1.1233469 0.244803377  fv      Gamma RP(P), Log-Normal    FALSE #> 4164   261 0.5981253 0.129981226  fv      Gamma RP(P), Log-Normal    FALSE #> 4180   262 0.8469669 0.185096728  fv      Gamma RP(P), Log-Normal    FALSE #> 4196   263 0.7899133 0.174604035  fv      Gamma RP(P), Log-Normal    FALSE #> 4212   264 0.6078800 0.131030433  fv      Gamma RP(P), Log-Normal    FALSE #> 4228   265 0.7793063 0.167770678  fv      Gamma RP(P), Log-Normal    FALSE #> 4244   266 0.8557823 0.187576892  fv      Gamma RP(P), Log-Normal    FALSE #> 4260   267 0.9221636 0.200920447  fv      Gamma RP(P), Log-Normal    FALSE #> 4276   268 0.9907061 0.213920651  fv      Gamma RP(P), Log-Normal    FALSE #> 4292   269 1.6707648 0.379565298  fv      Gamma RP(P), Log-Normal     TRUE #> 4308   270 1.2213651 0.278069743  fv      Gamma RP(P), Log-Normal    FALSE #> 4324   271 1.2134813 0.268186948  fv      Gamma RP(P), Log-Normal    FALSE #> 4340   272 0.7105029 0.158227375  fv      Gamma RP(P), Log-Normal    FALSE #> 4356   273 0.8171010 0.178367886  fv      Gamma RP(P), Log-Normal    FALSE #> 4372   274 0.9050407 0.193402733  fv      Gamma RP(P), Log-Normal    FALSE #> 4388   275 1.1353543 0.243983601  fv      Gamma RP(P), Log-Normal    FALSE #> 4404   276 1.0858343 0.244403762  fv      Gamma RP(P), Log-Normal    FALSE #> 4420   277 0.8684428 0.186238953  fv      Gamma RP(P), Log-Normal    FALSE #> 4436   278 1.0203287 0.220451182  fv      Gamma RP(P), Log-Normal    FALSE #> 4452   279 1.0011619 0.217423012  fv      Gamma RP(P), Log-Normal    FALSE #> 4468   280 0.9509821 0.203861367  fv      Gamma RP(P), Log-Normal    FALSE #> 4484   281 1.5506510 0.348875344  fv      Gamma RP(P), Log-Normal     TRUE #> 4500   282 0.7365934 0.158887674  fv      Gamma RP(P), Log-Normal    FALSE #> 4516   283 1.1427590 0.261767217  fv      Gamma RP(P), Log-Normal    FALSE #> 4532   284 0.7622570 0.162455472  fv      Gamma RP(P), Log-Normal    FALSE #> 4548   285 0.5961491 0.129287813  fv      Gamma RP(P), Log-Normal    FALSE #> 4564   286 1.0061213 0.217649530  fv      Gamma RP(P), Log-Normal    FALSE #> 4580   287 0.7806262 0.169733695  fv      Gamma RP(P), Log-Normal    FALSE #> 4596   288 1.8098902 0.399947941  fv      Gamma RP(P), Log-Normal     TRUE #> 4612   289 0.8393518 0.185200626  fv      Gamma RP(P), Log-Normal    FALSE #> 4628   290 0.7468449 0.162723595  fv      Gamma RP(P), Log-Normal    FALSE #> 4644   291 0.7601939 0.165843465  fv      Gamma RP(P), Log-Normal    FALSE #> 4660   292 0.7323268 0.156954458  fv      Gamma RP(P), Log-Normal    FALSE #> 4676   293 1.2258149 0.268151985  fv      Gamma RP(P), Log-Normal    FALSE #> 4692   294 0.8404157 0.183782801  fv      Gamma RP(P), Log-Normal    FALSE #> 4708   295 1.5766100 0.346101076  fv      Gamma RP(P), Log-Normal     TRUE #> 4724   296 1.0056320 0.220767234  fv      Gamma RP(P), Log-Normal    FALSE #> 4740   297 1.7157538 0.372587669  fv      Gamma RP(P), Log-Normal     TRUE #> 4756   298 0.6795482 0.146389054  fv      Gamma RP(P), Log-Normal    FALSE #> 4772   299 0.7207333 0.158465129  fv      Gamma RP(P), Log-Normal    FALSE #> 4788   300 1.1288850 0.241916357  fv      Gamma RP(P), Log-Normal    FALSE #> 4804   301 0.6731434 0.147303733  fv      Gamma RP(P), Log-Normal    FALSE #> 4820   302 1.0472072 0.224351808  fv      Gamma RP(P), Log-Normal    FALSE #> 4836   303 0.7717841 0.166341408  fv      Gamma RP(P), Log-Normal    FALSE #> 4852   304 0.8192309 0.175783833  fv      Gamma RP(P), Log-Normal    FALSE #> 4868   305 1.2026302 0.261708291  fv      Gamma RP(P), Log-Normal    FALSE #> 4884   306 0.9576788 0.208093071  fv      Gamma RP(P), Log-Normal    FALSE #> 4900   307 1.0605048 0.238865352  fv      Gamma RP(P), Log-Normal    FALSE #> 4916   308 0.8711031 0.189633570  fv      Gamma RP(P), Log-Normal    FALSE #> 4932   309 1.0053989 0.216562485  fv      Gamma RP(P), Log-Normal    FALSE #> 4948   310 1.6051705 0.357305337  fv      Gamma RP(P), Log-Normal     TRUE #> 4964   311 1.2178320 0.266118483  fv      Gamma RP(P), Log-Normal    FALSE #> 4980   312 1.8621584 0.430025773  fv      Gamma RP(P), Log-Normal     TRUE #> 4996   313 1.1324318 0.248100889  fv      Gamma RP(P), Log-Normal    FALSE #> 5012   314 0.9259319 0.204944464  fv      Gamma RP(P), Log-Normal    FALSE #> 5028   315 1.0717161 0.231194628  fv      Gamma RP(P), Log-Normal    FALSE #> 5044   316 1.5632161 0.343308715  fv      Gamma RP(P), Log-Normal     TRUE #> 5060   317 0.7911773 0.172163115  fv      Gamma RP(P), Log-Normal    FALSE #> 5076   318 1.0257467 0.229465201  fv      Gamma RP(P), Log-Normal    FALSE #> 5092   319 0.7560379 0.164851201  fv      Gamma RP(P), Log-Normal    FALSE #> 5108   320 0.7598209 0.164946075  fv      Gamma RP(P), Log-Normal    FALSE #> 5124   321 1.3366113 0.296232365  fv      Gamma RP(P), Log-Normal    FALSE #> 5140   322 0.6541514 0.142874097  fv      Gamma RP(P), Log-Normal    FALSE #> 5156   323 1.1888806 0.259384609  fv      Gamma RP(P), Log-Normal    FALSE #> 5172   324 0.7895205 0.174817665  fv      Gamma RP(P), Log-Normal    FALSE #> 5188   325 0.9089904 0.195887537  fv      Gamma RP(P), Log-Normal    FALSE #> 5204   326 0.8991867 0.194800348  fv      Gamma RP(P), Log-Normal    FALSE #> 5220   327 0.9354573 0.200972552  fv      Gamma RP(P), Log-Normal    FALSE #> 5236   328 1.4508772 0.321883010  fv      Gamma RP(P), Log-Normal    FALSE #> 5252   329 1.2389575 0.278410321  fv      Gamma RP(P), Log-Normal    FALSE #> 5268   330 0.9497564 0.208683102  fv      Gamma RP(P), Log-Normal    FALSE #> 5284   331 1.1348318 0.243830181  fv      Gamma RP(P), Log-Normal    FALSE #> 5300   332 0.7406454 0.165819274  fv      Gamma RP(P), Log-Normal    FALSE #> 5316   333 0.6882928 0.148784950  fv      Gamma RP(P), Log-Normal    FALSE #> 5332   334 1.3842558 0.296929851  fv      Gamma RP(P), Log-Normal    FALSE #> 5348   335 1.0741546 0.237337608  fv      Gamma RP(P), Log-Normal    FALSE #> 5364   336 0.6223286 0.139826644  fv      Gamma RP(P), Log-Normal    FALSE #> 5380   337 0.8436957 0.186307291  fv      Gamma RP(P), Log-Normal    FALSE #> 5396   338 0.7251021 0.154411004  fv      Gamma RP(P), Log-Normal    FALSE #> 5412   339 1.0911888 0.239706177  fv      Gamma RP(P), Log-Normal    FALSE #> 5428   340 1.1139385 0.259970148  fv      Gamma RP(P), Log-Normal    FALSE #> 5444   341 0.6722575 0.144746633  fv      Gamma RP(P), Log-Normal    FALSE #> 5460   342 0.5335198 0.115837477  fv      Gamma RP(P), Log-Normal    FALSE #> 5476   343 0.7759368 0.168497568  fv      Gamma RP(P), Log-Normal    FALSE #> 5492   344 1.3745439 0.304745479  fv      Gamma RP(P), Log-Normal    FALSE #> 5508   345 1.2019517 0.264238640  fv      Gamma RP(P), Log-Normal    FALSE #> 5524   346 1.0680673 0.228681184  fv      Gamma RP(P), Log-Normal    FALSE #> 5540   347 0.9424073 0.202173546  fv      Gamma RP(P), Log-Normal    FALSE #> 5556   348 1.4206305 0.311160176  fv      Gamma RP(P), Log-Normal    FALSE #> 5572   349 1.1631266 0.253819909  fv      Gamma RP(P), Log-Normal    FALSE #> 5588   350 1.0587565 0.227239061  fv      Gamma RP(P), Log-Normal    FALSE #> 5604   351 1.2314624 0.279628007  fv      Gamma RP(P), Log-Normal    FALSE #> 5620   352 1.1441911 0.257794647  fv      Gamma RP(P), Log-Normal    FALSE #> 5636   353 0.6759264 0.146595798  fv      Gamma RP(P), Log-Normal    FALSE #> 5652   354 0.9403395 0.204457172  fv      Gamma RP(P), Log-Normal    FALSE #> 5668   355 1.1145079 0.239429075  fv      Gamma RP(P), Log-Normal    FALSE #> 5684   356 1.0944187 0.241452823  fv      Gamma RP(P), Log-Normal    FALSE #> 5700   357 0.8472675 0.182834330  fv      Gamma RP(P), Log-Normal    FALSE #> 5716   358 0.8078994 0.171141015  fv      Gamma RP(P), Log-Normal    FALSE #> 5732   359 0.8715760 0.197056186  fv      Gamma RP(P), Log-Normal    FALSE #> 5748   360 0.7305572 0.157575039  fv      Gamma RP(P), Log-Normal    FALSE #> 5764   361 1.3093898 0.295995439  fv      Gamma RP(P), Log-Normal    FALSE #> 5780   362 0.5932042 0.128820637  fv      Gamma RP(P), Log-Normal    FALSE #> 5796   363 0.9537684 0.211563876  fv      Gamma RP(P), Log-Normal    FALSE #> 5812   364 0.6500835 0.143060235  fv      Gamma RP(P), Log-Normal    FALSE #> 5828   365 0.9988684 0.230090658  fv      Gamma RP(P), Log-Normal    FALSE #> 5844   366 1.2002573 0.268259798  fv      Gamma RP(P), Log-Normal    FALSE #> 5860   367 1.1732540 0.253572484  fv      Gamma RP(P), Log-Normal    FALSE #> 5876   368 1.1839640 0.274942607  fv      Gamma RP(P), Log-Normal    FALSE #> 5892   369 0.6725999 0.144571959  fv      Gamma RP(P), Log-Normal    FALSE #> 5908   370 0.6474614 0.141195590  fv      Gamma RP(P), Log-Normal    FALSE #> 5924   371 1.0778251 0.237098302  fv      Gamma RP(P), Log-Normal    FALSE #> 5940   372 0.7840598 0.178284497  fv      Gamma RP(P), Log-Normal    FALSE #> 5956   373 0.9240125 0.200650555  fv      Gamma RP(P), Log-Normal    FALSE #> 5972   374 0.7215876 0.154150935  fv      Gamma RP(P), Log-Normal    FALSE #> 5988   375 0.7472158 0.161834638  fv      Gamma RP(P), Log-Normal    FALSE #> 6004   376 0.7840256 0.168608101  fv      Gamma RP(P), Log-Normal    FALSE #> 6020   377 1.2063017 0.272271466  fv      Gamma RP(P), Log-Normal    FALSE #> 6036   378 1.0759738 0.232885696  fv      Gamma RP(P), Log-Normal    FALSE #> 6052   379 0.7991445 0.171767634  fv      Gamma RP(P), Log-Normal    FALSE #> 6068   380 0.9835843 0.213394452  fv      Gamma RP(P), Log-Normal    FALSE #> 6084   381 0.7117307 0.151443197  fv      Gamma RP(P), Log-Normal    FALSE #> 6100   382 0.9374011 0.204621752  fv      Gamma RP(P), Log-Normal    FALSE #> 6116   383 1.4564452 0.312580654  fv      Gamma RP(P), Log-Normal    FALSE #> 6132   384 1.1166026 0.243039524  fv      Gamma RP(P), Log-Normal    FALSE #> 6148   385 0.6950395 0.150883736  fv      Gamma RP(P), Log-Normal    FALSE #> 6164   386 0.4544464 0.102122826  fv      Gamma RP(P), Log-Normal     TRUE #> 6180   387 0.6941927 0.149352262  fv      Gamma RP(P), Log-Normal    FALSE #> 6196   388 0.8740749 0.189471295  fv      Gamma RP(P), Log-Normal    FALSE #> 6212   389 0.6379024 0.138928630  fv      Gamma RP(P), Log-Normal    FALSE #> 6228   390 0.7579377 0.165386684  fv      Gamma RP(P), Log-Normal    FALSE #> 6244   391 0.6208441 0.135164000  fv      Gamma RP(P), Log-Normal    FALSE #> 6260   392 1.1388947 0.243164287  fv      Gamma RP(P), Log-Normal    FALSE #> 6276   393 0.6777050 0.146669241  fv      Gamma RP(P), Log-Normal    FALSE #> 6292   394 1.2875572 0.285500045  fv      Gamma RP(P), Log-Normal    FALSE #> 6308   395 0.9594942 0.212902410  fv      Gamma RP(P), Log-Normal    FALSE #> 6324   396 0.9535688 0.214993979  fv      Gamma RP(P), Log-Normal    FALSE #> 6340   397 1.1170706 0.239961536  fv      Gamma RP(P), Log-Normal    FALSE #> 6356   398 0.9337227 0.201800746  fv      Gamma RP(P), Log-Normal    FALSE #> 6372   399 0.7611877 0.165402284  fv      Gamma RP(P), Log-Normal    FALSE #> 6388   400 0.8163529 0.177586051  fv      Gamma RP(P), Log-Normal    FALSE #> 6404   401 1.1755879 0.260480234  fv      Gamma RP(P), Log-Normal    FALSE #> 6420   402 0.8926168 0.200255305  fv      Gamma RP(P), Log-Normal    FALSE #> 6436   403 0.8545840 0.183751295  fv      Gamma RP(P), Log-Normal    FALSE #> 6452   404 1.1315518 0.257023968  fv      Gamma RP(P), Log-Normal    FALSE #> 6468   405 0.7711867 0.164072761  fv      Gamma RP(P), Log-Normal    FALSE #> 6484   406 0.7394725 0.158175027  fv      Gamma RP(P), Log-Normal    FALSE #> 6500   407 1.0465095 0.229942406  fv      Gamma RP(P), Log-Normal    FALSE #> 6516   408 0.6300849 0.149381842  fv      Gamma RP(P), Log-Normal    FALSE #> 6532   409 1.2759445 0.275964040  fv      Gamma RP(P), Log-Normal    FALSE #> 6548   410 1.4092819 0.317311958  fv      Gamma RP(P), Log-Normal    FALSE #> 6564   411 1.0991484 0.254405935  fv      Gamma RP(P), Log-Normal    FALSE #> 6580   412 0.8267034 0.177108154  fv      Gamma RP(P), Log-Normal    FALSE #> 6596   413 0.9031192 0.199459030  fv      Gamma RP(P), Log-Normal    FALSE #> 6612   414 0.8929692 0.192911734  fv      Gamma RP(P), Log-Normal    FALSE #> 6628   415 1.1226055 0.241604742  fv      Gamma RP(P), Log-Normal    FALSE #> 6644   416 0.7277533 0.157426254  fv      Gamma RP(P), Log-Normal    FALSE #> 6660   417 0.9685098 0.210134619  fv      Gamma RP(P), Log-Normal    FALSE #> 6676   418 0.9593147 0.209686673  fv      Gamma RP(P), Log-Normal    FALSE #> 6692   419 0.8180942 0.182657405  fv      Gamma RP(P), Log-Normal    FALSE #> 6708   420 1.1163400 0.250241104  fv      Gamma RP(P), Log-Normal    FALSE #> 6724   421 1.0662506 0.230681634  fv      Gamma RP(P), Log-Normal    FALSE #> 6740   422 0.9590765 0.208021402  fv      Gamma RP(P), Log-Normal    FALSE #> 6756   423 1.0631685 0.230888818  fv      Gamma RP(P), Log-Normal    FALSE #> 6772   424 0.9657118 0.217152814  fv      Gamma RP(P), Log-Normal    FALSE #> 6788   425 0.7349995 0.162179797  fv      Gamma RP(P), Log-Normal    FALSE #> 6804   426 1.2825616 0.279074728  fv      Gamma RP(P), Log-Normal    FALSE #> 6820   427 0.5095550 0.112703591  fv      Gamma RP(P), Log-Normal    FALSE #> 6836   428 1.4523732 0.327933855  fv      Gamma RP(P), Log-Normal     TRUE #> 6852   429 0.7978037 0.173408480  fv      Gamma RP(P), Log-Normal    FALSE #> 6868   430 0.6875011 0.147810346  fv      Gamma RP(P), Log-Normal    FALSE #> 6884   431 1.1006941 0.238750756  fv      Gamma RP(P), Log-Normal    FALSE #> 6900   432 0.6748862 0.147308411  fv      Gamma RP(P), Log-Normal    FALSE #> 6916   433 1.1282877 0.250568935  fv      Gamma RP(P), Log-Normal    FALSE #> 6932   434 1.2431724 0.265520208  fv      Gamma RP(P), Log-Normal    FALSE #> 6948   435 0.8078352 0.172249398  fv      Gamma RP(P), Log-Normal    FALSE #> 6964   436 1.2539909 0.282120990  fv      Gamma RP(P), Log-Normal    FALSE #> 6980   437 0.8230815 0.177122345  fv      Gamma RP(P), Log-Normal    FALSE #> 6996   438 0.6367504 0.141576527  fv      Gamma RP(P), Log-Normal    FALSE #> 7012   439 0.9345544 0.208661903  fv      Gamma RP(P), Log-Normal    FALSE #> 7028   440 0.8145396 0.174404632  fv      Gamma RP(P), Log-Normal    FALSE #> 7044   441 0.4963037 0.107331468  fv      Gamma RP(P), Log-Normal     TRUE #> 7060   442 0.9945112 0.210487712  fv      Gamma RP(P), Log-Normal    FALSE #> 7076   443 0.6687881 0.151032821  fv      Gamma RP(P), Log-Normal    FALSE #> 7092   444 0.8057132 0.174622153  fv      Gamma RP(P), Log-Normal    FALSE #> 7108   445 1.2113594 0.278671053  fv      Gamma RP(P), Log-Normal    FALSE #> 7124   446 1.0112616 0.219825528  fv      Gamma RP(P), Log-Normal    FALSE #> 7140   447 0.9580334 0.208122592  fv      Gamma RP(P), Log-Normal    FALSE #> 7156   448 1.0480268 0.231358840  fv      Gamma RP(P), Log-Normal    FALSE #> 7172   449 1.1654833 0.250305711  fv      Gamma RP(P), Log-Normal    FALSE #> 7188   450 0.7747101 0.164631434  fv      Gamma RP(P), Log-Normal    FALSE #> 7204   451 1.0778703 0.233850216  fv      Gamma RP(P), Log-Normal    FALSE #> 7220   452 0.6532856 0.142936025  fv      Gamma RP(P), Log-Normal    FALSE #> 7236   453 1.0354556 0.220201966  fv      Gamma RP(P), Log-Normal    FALSE #> 7252   454 0.8410267 0.188393838  fv      Gamma RP(P), Log-Normal    FALSE #> 7268   455 1.0590126 0.231017540  fv      Gamma RP(P), Log-Normal    FALSE #> 7284   456 1.1002554 0.239040113  fv      Gamma RP(P), Log-Normal    FALSE #> 7300   457 1.1113213 0.242020836  fv      Gamma RP(P), Log-Normal    FALSE #> 7316   458 1.2737451 0.283902711  fv      Gamma RP(P), Log-Normal    FALSE #> 7332   459 0.8741005 0.192529765  fv      Gamma RP(P), Log-Normal    FALSE #> 7348   460 0.8343565 0.185513409  fv      Gamma RP(P), Log-Normal    FALSE #> 7364   461 1.0413598 0.229681208  fv      Gamma RP(P), Log-Normal    FALSE #> 7380   462 1.4058311 0.313874121  fv      Gamma RP(P), Log-Normal    FALSE #> 7396   463 0.7385880 0.157268096  fv      Gamma RP(P), Log-Normal    FALSE #> 7412   464 0.6749140 0.150334899  fv      Gamma RP(P), Log-Normal    FALSE #> 7428   465 0.9372626 0.202416087  fv      Gamma RP(P), Log-Normal    FALSE #> 7444   466 1.0819470 0.240560277  fv      Gamma RP(P), Log-Normal    FALSE #> 7460   467 1.2583393 0.280960356  fv      Gamma RP(P), Log-Normal    FALSE #> 7476   468 0.6603316 0.141287880  fv      Gamma RP(P), Log-Normal    FALSE #> 7492   469 1.0850180 0.243295647  fv      Gamma RP(P), Log-Normal    FALSE #> 7508   470 0.9881027 0.210406927  fv      Gamma RP(P), Log-Normal    FALSE #> 7524   471 0.7454241 0.160990011  fv      Gamma RP(P), Log-Normal    FALSE #> 7540   472 1.1745015 0.256706796  fv      Gamma RP(P), Log-Normal    FALSE #> 7556   473 0.7959574 0.170031541  fv      Gamma RP(P), Log-Normal    FALSE #> 7572   474 0.7918319 0.177803843  fv      Gamma RP(P), Log-Normal    FALSE #> 7588   475 1.6522706 0.375398426  fv      Gamma RP(P), Log-Normal     TRUE #> 7604   476 0.6916373 0.152453433  fv      Gamma RP(P), Log-Normal    FALSE #> 7620   477 1.2375353 0.268085782  fv      Gamma RP(P), Log-Normal    FALSE #> 7636   478 0.9740985 0.216425920  fv      Gamma RP(P), Log-Normal    FALSE #> 7652   479 1.2632676 0.276699164  fv      Gamma RP(P), Log-Normal    FALSE #> 7668   480 1.0387783 0.230531068  fv      Gamma RP(P), Log-Normal    FALSE #> 7684   481 0.9091348 0.201095913  fv      Gamma RP(P), Log-Normal    FALSE #> 7700   482 0.8691584 0.198334797  fv      Gamma RP(P), Log-Normal    FALSE #> 7716   483 0.9225715 0.209461889  fv      Gamma RP(P), Log-Normal    FALSE #> 7732   484 0.9439964 0.201865531  fv      Gamma RP(P), Log-Normal    FALSE #> 7748   485 1.0052738 0.218556409  fv      Gamma RP(P), Log-Normal    FALSE #> 7764   486 0.7260035 0.159970767  fv      Gamma RP(P), Log-Normal    FALSE #> 7780   487 1.1001328 0.238315614  fv      Gamma RP(P), Log-Normal    FALSE #> 7796   488 0.9538392 0.216822184  fv      Gamma RP(P), Log-Normal    FALSE #> 7812   489 1.2501391 0.282675830  fv      Gamma RP(P), Log-Normal    FALSE #> 7828   490 1.6236317 0.352529801  fv      Gamma RP(P), Log-Normal     TRUE #> 7844   491 0.8316296 0.178919604  fv      Gamma RP(P), Log-Normal    FALSE #> 7860   492 1.2586735 0.281277951  fv      Gamma RP(P), Log-Normal    FALSE #> 7876   493 1.1213778 0.258755786  fv      Gamma RP(P), Log-Normal    FALSE #> 7892   494 0.8594317 0.184538921  fv      Gamma RP(P), Log-Normal    FALSE #> 7908   495 0.9649592 0.211567053  fv      Gamma RP(P), Log-Normal    FALSE #> 7924   496 0.6773521 0.150596337  fv      Gamma RP(P), Log-Normal    FALSE #> 7940   497 0.9052519 0.196094400  fv      Gamma RP(P), Log-Normal    FALSE #> 7956   498 0.8116850 0.178283650  fv      Gamma RP(P), Log-Normal    FALSE #> 7972   499 1.1086720 0.241326577  fv      Gamma RP(P), Log-Normal    FALSE #> 7988   500 1.2773651 0.281428323  fv      Gamma RP(P), Log-Normal    FALSE #> 8004   501 0.8676161 0.186252713  fv      Gamma RP(P), Log-Normal    FALSE #> 8020   502 1.0407176 0.226742031  fv      Gamma RP(P), Log-Normal    FALSE #> 8036   503 0.7548621 0.161416065  fv      Gamma RP(P), Log-Normal    FALSE #> 8052   504 1.2077979 0.258824089  fv      Gamma RP(P), Log-Normal    FALSE #> 8068   505 1.4398156 0.321294471  fv      Gamma RP(P), Log-Normal    FALSE #> 8084   506 0.8624584 0.186157457  fv      Gamma RP(P), Log-Normal    FALSE #> 8100   507 0.6802796 0.145481059  fv      Gamma RP(P), Log-Normal    FALSE #> 8116   508 0.8342436 0.181087868  fv      Gamma RP(P), Log-Normal    FALSE #> 8132   509 0.8612357 0.185773025  fv      Gamma RP(P), Log-Normal    FALSE #> 8148   510 1.0875058 0.231453325  fv      Gamma RP(P), Log-Normal    FALSE #> 8164   511 0.9780855 0.214288070  fv      Gamma RP(P), Log-Normal    FALSE #> 8180   512 0.9185424 0.195605141  fv      Gamma RP(P), Log-Normal    FALSE #> 8196   513 0.7742017 0.169231006  fv      Gamma RP(P), Log-Normal    FALSE #> 8212   514 0.9812394 0.218050507  fv      Gamma RP(P), Log-Normal    FALSE #> 8228   515 0.8492711 0.186072576  fv      Gamma RP(P), Log-Normal    FALSE #> 8244   516 1.0440155 0.231448528  fv      Gamma RP(P), Log-Normal    FALSE #> 8260   517 1.1390878 0.249921695  fv      Gamma RP(P), Log-Normal    FALSE #> 8276   518 1.2314535 0.263976453  fv      Gamma RP(P), Log-Normal    FALSE #> 8292   519 0.8741643 0.188132491  fv      Gamma RP(P), Log-Normal    FALSE #> 8308   520 0.7946016 0.172820195  fv      Gamma RP(P), Log-Normal    FALSE #> 8324   521 0.7155341 0.154658107  fv      Gamma RP(P), Log-Normal    FALSE #> 8340   522 0.6586910 0.142144906  fv      Gamma RP(P), Log-Normal    FALSE #> 8356   523 0.9070928 0.201961629  fv      Gamma RP(P), Log-Normal    FALSE #> 8372   524 0.7949849 0.175434365  fv      Gamma RP(P), Log-Normal    FALSE #> 8388   525 1.3355748 0.288021411  fv      Gamma RP(P), Log-Normal    FALSE #> 8404   526 1.1111854 0.243883438  fv      Gamma RP(P), Log-Normal    FALSE #> 8420   527 0.9980110 0.225250690  fv      Gamma RP(P), Log-Normal    FALSE #> 8436   528 0.7536701 0.165035815  fv      Gamma RP(P), Log-Normal    FALSE #> 8452   529 1.2088138 0.264226878  fv      Gamma RP(P), Log-Normal    FALSE #> 8468   530 1.3388039 0.295083388  fv      Gamma RP(P), Log-Normal    FALSE #> 8484   531 1.0765928 0.230423607  fv      Gamma RP(P), Log-Normal    FALSE #> 8500   532 1.1797360 0.260368744  fv      Gamma RP(P), Log-Normal    FALSE #> 8516   533 0.9477534 0.207558206  fv      Gamma RP(P), Log-Normal    FALSE #> 8532   534 1.0563309 0.227002868  fv      Gamma RP(P), Log-Normal    FALSE #> 8548   535 1.4357549 0.313963101  fv      Gamma RP(P), Log-Normal    FALSE #> 8564   536 1.0051141 0.212301508  fv      Gamma RP(P), Log-Normal    FALSE #> 8580   537 0.9940413 0.229846666  fv      Gamma RP(P), Log-Normal    FALSE #> 8596   538 0.7485919 0.163118834  fv      Gamma RP(P), Log-Normal    FALSE #> 8612   539 1.2009352 0.262424788  fv      Gamma RP(P), Log-Normal    FALSE #> 8628   540 1.0656493 0.243252483  fv      Gamma RP(P), Log-Normal    FALSE #> 8644   541 0.7818527 0.171862648  fv      Gamma RP(P), Log-Normal    FALSE #> 8660   542 1.0476007 0.225722387  fv      Gamma RP(P), Log-Normal    FALSE #> 8676   543 1.1371033 0.243339241  fv      Gamma RP(P), Log-Normal    FALSE #> 8692   544 1.0773876 0.231123459  fv      Gamma RP(P), Log-Normal    FALSE #> 8708   545 0.9565211 0.212700204  fv      Gamma RP(P), Log-Normal    FALSE #> 8724   546 0.7647347 0.163566244  fv      Gamma RP(P), Log-Normal    FALSE #> 8740   547 0.8206825 0.176359832  fv      Gamma RP(P), Log-Normal    FALSE #> 8756   548 0.8505963 0.192550911  fv      Gamma RP(P), Log-Normal    FALSE #> 8772   549 1.0358106 0.229635225  fv      Gamma RP(P), Log-Normal    FALSE #> 8788   550 1.3523884 0.318258072  fv      Gamma RP(P), Log-Normal    FALSE #> 8804   551 0.9140688 0.197916220  fv      Gamma RP(P), Log-Normal    FALSE #> 8820   552 0.7505092 0.167863310  fv      Gamma RP(P), Log-Normal    FALSE #> 8836   553 0.7462582 0.163755065  fv      Gamma RP(P), Log-Normal    FALSE #> 8852   554 0.9503633 0.210343956  fv      Gamma RP(P), Log-Normal    FALSE #> 8868   555 0.6745831 0.145777323  fv      Gamma RP(P), Log-Normal    FALSE #> 8884   556 0.6796815 0.149173569  fv      Gamma RP(P), Log-Normal    FALSE #> 8900   557 1.7294668 0.385290497  fv      Gamma RP(P), Log-Normal     TRUE #> 8916   558 1.0353587 0.226097195  fv      Gamma RP(P), Log-Normal    FALSE #> 8932   559 0.8016693 0.181657786  fv      Gamma RP(P), Log-Normal    FALSE #> 8948   560 0.9729378 0.214345554  fv      Gamma RP(P), Log-Normal    FALSE #> 8964   561 1.0321929 0.223653751  fv      Gamma RP(P), Log-Normal    FALSE #> 8980   562 0.5768487 0.127198483  fv      Gamma RP(P), Log-Normal    FALSE #> 8996   563 1.0433632 0.228621090  fv      Gamma RP(P), Log-Normal    FALSE #> 9012   564 1.0641236 0.228678050  fv      Gamma RP(P), Log-Normal    FALSE #> 9028   565 1.1732304 0.270298444  fv      Gamma RP(P), Log-Normal    FALSE #> 9044   566 1.2237949 0.268476490  fv      Gamma RP(P), Log-Normal    FALSE #> 9060   567 0.9843680 0.216254289  fv      Gamma RP(P), Log-Normal    FALSE #> 9076   568 1.0225418 0.226931553  fv      Gamma RP(P), Log-Normal    FALSE #> 9092   569 0.9425398 0.212381043  fv      Gamma RP(P), Log-Normal    FALSE #> 9108   570 0.9305842 0.201175459  fv      Gamma RP(P), Log-Normal    FALSE #> 9124   571 0.9345155 0.201116344  fv      Gamma RP(P), Log-Normal    FALSE #> 9140   572 1.1021244 0.234409464  fv      Gamma RP(P), Log-Normal    FALSE #> 9156   573 0.6234484 0.137000395  fv      Gamma RP(P), Log-Normal    FALSE #> 9172   574 1.1480059 0.255124057  fv      Gamma RP(P), Log-Normal    FALSE #> 9188   575 0.9620612 0.211148150  fv      Gamma RP(P), Log-Normal    FALSE #> 9204   576 1.0678341 0.238868687  fv      Gamma RP(P), Log-Normal    FALSE #> 9220   577 0.9150045 0.204456329  fv      Gamma RP(P), Log-Normal    FALSE #> 9236   578 0.9233870 0.200603592  fv      Gamma RP(P), Log-Normal    FALSE #> 9252   579 0.7994219 0.174027563  fv      Gamma RP(P), Log-Normal    FALSE #> 9268   580 0.8585172 0.187898896  fv      Gamma RP(P), Log-Normal    FALSE #> 9284   581 1.1376346 0.243722038  fv      Gamma RP(P), Log-Normal    FALSE #> 9300   582 0.5331588 0.116180181  fv      Gamma RP(P), Log-Normal    FALSE #> 9316   583 1.2227234 0.266819438  fv      Gamma RP(P), Log-Normal    FALSE #> 9332   584 0.7424917 0.162892931  fv      Gamma RP(P), Log-Normal    FALSE #> 9348   585 1.4718067 0.317670941  fv      Gamma RP(P), Log-Normal    FALSE #> 9364   586 1.3376029 0.285083541  fv      Gamma RP(P), Log-Normal    FALSE #> 9380   587 1.0466999 0.227298927  fv      Gamma RP(P), Log-Normal    FALSE #> 9396   588 1.0628152 0.236226350  fv      Gamma RP(P), Log-Normal    FALSE #> 9412   589 0.7456047 0.162916840  fv      Gamma RP(P), Log-Normal    FALSE #> 9428   590 0.8908216 0.194809140  fv      Gamma RP(P), Log-Normal    FALSE #> 9444   591 0.9844521 0.217603161  fv      Gamma RP(P), Log-Normal    FALSE #> 9460   592 1.2872132 0.280054795  fv      Gamma RP(P), Log-Normal    FALSE #> 9476   593 0.9145775 0.207193045  fv      Gamma RP(P), Log-Normal    FALSE #> 9492   594 0.9446292 0.210280528  fv      Gamma RP(P), Log-Normal    FALSE #> 9508   595 0.8683941 0.185769779  fv      Gamma RP(P), Log-Normal    FALSE #> 9524   596 1.2043136 0.260901489  fv      Gamma RP(P), Log-Normal    FALSE #> 9540   597 1.2713689 0.283428607  fv      Gamma RP(P), Log-Normal    FALSE #> 9556   598 1.0191519 0.221381269  fv      Gamma RP(P), Log-Normal    FALSE #> 9572   599 1.5192954 0.325918384  fv      Gamma RP(P), Log-Normal     TRUE #> 9588   600 1.3131604 0.281586578  fv      Gamma RP(P), Log-Normal    FALSE #> 9604   601 0.9717941 0.212607335  fv      Gamma RP(P), Log-Normal    FALSE #> 9620   602 1.1056106 0.248359854  fv      Gamma RP(P), Log-Normal    FALSE #> 9636   603 0.9020656 0.196090741  fv      Gamma RP(P), Log-Normal    FALSE #> 9652   604 1.2529459 0.293640836  fv      Gamma RP(P), Log-Normal    FALSE #> 9668   605 1.2259883 0.274240763  fv      Gamma RP(P), Log-Normal    FALSE #> 9684   606 1.0511216 0.228404129  fv      Gamma RP(P), Log-Normal    FALSE #> 9700   607 0.8190508 0.180281936  fv      Gamma RP(P), Log-Normal    FALSE #> 9716   608 1.0311424 0.221802458  fv      Gamma RP(P), Log-Normal    FALSE #> 9732   609 1.3455592 0.295910286  fv      Gamma RP(P), Log-Normal    FALSE #> 9748   610 1.1642916 0.254371166  fv      Gamma RP(P), Log-Normal    FALSE #> 9764   611 0.8758176 0.192522572  fv      Gamma RP(P), Log-Normal    FALSE #> 9780   612 1.2516100 0.272167401  fv      Gamma RP(P), Log-Normal    FALSE #> 9796   613 0.9097464 0.194713999  fv      Gamma RP(P), Log-Normal    FALSE #> 9812   614 0.8241780 0.176682356  fv      Gamma RP(P), Log-Normal    FALSE #> 9828   615 0.7807667 0.169402047  fv      Gamma RP(P), Log-Normal    FALSE #> 9844   616 1.3256338 0.290042297  fv      Gamma RP(P), Log-Normal    FALSE #> 9860   617 1.3554468 0.302421137  fv      Gamma RP(P), Log-Normal    FALSE #> 9876   618 0.7059805 0.153032728  fv      Gamma RP(P), Log-Normal    FALSE #> 9892   619 0.7640548 0.164327342  fv      Gamma RP(P), Log-Normal    FALSE #> 9908   620 0.9324604 0.205897957  fv      Gamma RP(P), Log-Normal    FALSE #> 9924   621 1.0897527 0.237414370  fv      Gamma RP(P), Log-Normal    FALSE #> 9940   622 1.6936806 0.371698035  fv      Gamma RP(P), Log-Normal     TRUE #> 9956   623 0.6527658 0.139972359  fv      Gamma RP(P), Log-Normal    FALSE #> 9972   624 0.9466176 0.203085311  fv      Gamma RP(P), Log-Normal    FALSE #> 9988   625 0.9681196 0.214775219  fv      Gamma RP(P), Log-Normal    FALSE #> 10004  626 0.6523744 0.142834891  fv      Gamma RP(P), Log-Normal    FALSE #> 10020  627 0.8021879 0.184418783  fv      Gamma RP(P), Log-Normal    FALSE #> 10036  628 0.9225400 0.197465937  fv      Gamma RP(P), Log-Normal    FALSE #> 10052  629 0.7501559 0.167348318  fv      Gamma RP(P), Log-Normal    FALSE #> 10068  630 1.0706745 0.227798971  fv      Gamma RP(P), Log-Normal    FALSE #> 10084  631 1.2827158 0.297285469  fv      Gamma RP(P), Log-Normal    FALSE #> 10100  632 0.6876342 0.149439809  fv      Gamma RP(P), Log-Normal    FALSE #> 10116  633 0.7028224 0.154619674  fv      Gamma RP(P), Log-Normal    FALSE #> 10132  634 0.7042120 0.153299268  fv      Gamma RP(P), Log-Normal    FALSE #> 10148  635 0.5541380 0.122244773  fv      Gamma RP(P), Log-Normal    FALSE #> 10164  636 0.8544896 0.190728571  fv      Gamma RP(P), Log-Normal    FALSE #> 10180  637 0.9603207 0.207191756  fv      Gamma RP(P), Log-Normal    FALSE #> 10196  638 0.7983102 0.182031114  fv      Gamma RP(P), Log-Normal    FALSE #> 10212  639 0.8838410 0.190983119  fv      Gamma RP(P), Log-Normal    FALSE #> 10228  640 0.6961483 0.152110407  fv      Gamma RP(P), Log-Normal    FALSE #> 10244  641 0.8369696 0.179150999  fv      Gamma RP(P), Log-Normal    FALSE #> 10260  642 0.9306106 0.205637032  fv      Gamma RP(P), Log-Normal    FALSE #> 10276  643 0.8113072 0.177171734  fv      Gamma RP(P), Log-Normal    FALSE #> 10292  644 1.3693170 0.317286312  fv      Gamma RP(P), Log-Normal    FALSE #> 10308  645 0.6575557 0.143623229  fv      Gamma RP(P), Log-Normal    FALSE #> 10324  646 0.7264648 0.160017681  fv      Gamma RP(P), Log-Normal    FALSE #> 10340  647 1.8140427 0.405472844  fv      Gamma RP(P), Log-Normal     TRUE #> 10356  648 0.9039734 0.192803400  fv      Gamma RP(P), Log-Normal    FALSE #> 10372  649 1.1307165 0.245793699  fv      Gamma RP(P), Log-Normal    FALSE #> 10388  650 1.3697853 0.300532613  fv      Gamma RP(P), Log-Normal    FALSE #> 10404  651 1.3913723 0.303438110  fv      Gamma RP(P), Log-Normal    FALSE #> 10420  652 0.9976010 0.218156662  fv      Gamma RP(P), Log-Normal    FALSE #> 10436  653 1.3997037 0.316519464  fv      Gamma RP(P), Log-Normal    FALSE #> 10452  654 0.7512885 0.164131512  fv      Gamma RP(P), Log-Normal    FALSE #> 10468  655 0.8184646 0.175458083  fv      Gamma RP(P), Log-Normal    FALSE #> 10484  656 0.9856965 0.213573425  fv      Gamma RP(P), Log-Normal    FALSE #> 10500  657 0.9542220 0.209937231  fv      Gamma RP(P), Log-Normal    FALSE #> 10516  658 1.0526322 0.230309237  fv      Gamma RP(P), Log-Normal    FALSE #> 10532  659 1.1040578 0.242269392  fv      Gamma RP(P), Log-Normal    FALSE #> 10548  660 1.1274148 0.257234161  fv      Gamma RP(P), Log-Normal    FALSE #> 10564  661 0.8272565 0.181590492  fv      Gamma RP(P), Log-Normal    FALSE #> 10580  662 0.5442579 0.118095785  fv      Gamma RP(P), Log-Normal    FALSE #> 10596  663 0.7790189 0.168677889  fv      Gamma RP(P), Log-Normal    FALSE #> 10612  664 0.9338401 0.199297546  fv      Gamma RP(P), Log-Normal    FALSE #> 10628  665 0.9666500 0.213744208  fv      Gamma RP(P), Log-Normal    FALSE #> 10644  666 0.9744446 0.220001257  fv      Gamma RP(P), Log-Normal    FALSE #> 10660  667 1.1828443 0.261467314  fv      Gamma RP(P), Log-Normal    FALSE #> 10676  668 1.2192520 0.274526839  fv      Gamma RP(P), Log-Normal    FALSE #> 10692  669 0.7113574 0.156924713  fv      Gamma RP(P), Log-Normal    FALSE #> 10708  670 1.1756310 0.262566467  fv      Gamma RP(P), Log-Normal    FALSE #> 10724  671 1.2383003 0.270216646  fv      Gamma RP(P), Log-Normal    FALSE #> 10740  672 0.7815664 0.169986858  fv      Gamma RP(P), Log-Normal    FALSE #> 10756  673 0.8229793 0.176870677  fv      Gamma RP(P), Log-Normal    FALSE #> 10772  674 1.3774475 0.311832718  fv      Gamma RP(P), Log-Normal    FALSE #> 10788  675 0.9621601 0.207902235  fv      Gamma RP(P), Log-Normal    FALSE #> 10804  676 0.6528028 0.150614959  fv      Gamma RP(P), Log-Normal    FALSE #> 10820  677 0.8233554 0.177246238  fv      Gamma RP(P), Log-Normal    FALSE #> 10836  678 1.1489514 0.253442670  fv      Gamma RP(P), Log-Normal    FALSE #> 10852  679 1.4208344 0.311543201  fv      Gamma RP(P), Log-Normal    FALSE #> 10868  680 1.0054416 0.232372166  fv      Gamma RP(P), Log-Normal    FALSE #> 10884  681 0.7391488 0.162759723  fv      Gamma RP(P), Log-Normal    FALSE #> 10900  682 0.9652976 0.207135311  fv      Gamma RP(P), Log-Normal    FALSE #> 10916  683 1.1870484 0.264442808  fv      Gamma RP(P), Log-Normal    FALSE #> 10932  684 1.2401849 0.268198690  fv      Gamma RP(P), Log-Normal    FALSE #> 10948  685 0.8596652 0.187197015  fv      Gamma RP(P), Log-Normal    FALSE #> 10964  686 0.6571789 0.143054753  fv      Gamma RP(P), Log-Normal    FALSE #> 10980  687 1.3996390 0.301433070  fv      Gamma RP(P), Log-Normal    FALSE #> 10996  688 0.9489165 0.205546007  fv      Gamma RP(P), Log-Normal    FALSE #> 11012  689 0.8114256 0.172547414  fv      Gamma RP(P), Log-Normal    FALSE #> 11028  690 1.2437062 0.265491213  fv      Gamma RP(P), Log-Normal    FALSE #> 11044  691 1.0092470 0.219771733  fv      Gamma RP(P), Log-Normal    FALSE #> 11060  692 0.9598097 0.205613691  fv      Gamma RP(P), Log-Normal    FALSE #> 11076  693 1.3113167 0.296323950  fv      Gamma RP(P), Log-Normal    FALSE #> 11092  694 1.0933889 0.242376514  fv      Gamma RP(P), Log-Normal    FALSE #> 11108  695 1.0333338 0.234007271  fv      Gamma RP(P), Log-Normal    FALSE #> 11124  696 1.0102497 0.229737838  fv      Gamma RP(P), Log-Normal    FALSE #> 11140  697 1.0358479 0.225442770  fv      Gamma RP(P), Log-Normal    FALSE #> 11156  698 1.0073535 0.220756703  fv      Gamma RP(P), Log-Normal    FALSE #> 11172  699 0.9466231 0.201809941  fv      Gamma RP(P), Log-Normal    FALSE #> 11188  700 1.6203374 0.346406720  fv      Gamma RP(P), Log-Normal     TRUE #> 11204  701 0.8178477 0.176518370  fv      Gamma RP(P), Log-Normal    FALSE #> 11220  702 0.8281316 0.185009839  fv      Gamma RP(P), Log-Normal    FALSE #> 11236  703 0.7131766 0.156512821  fv      Gamma RP(P), Log-Normal    FALSE #> 11252  704 1.2908383 0.275089666  fv      Gamma RP(P), Log-Normal    FALSE #> 11268  705 1.4435519 0.314942107  fv      Gamma RP(P), Log-Normal    FALSE #> 11284  706 1.0319566 0.223149598  fv      Gamma RP(P), Log-Normal    FALSE #> 11300  707 0.7611768 0.169895358  fv      Gamma RP(P), Log-Normal    FALSE #> 11316  708 1.1576638 0.261635419  fv      Gamma RP(P), Log-Normal    FALSE #> 11332  709 0.9334649 0.200133791  fv      Gamma RP(P), Log-Normal    FALSE #> 11348  710 0.9774021 0.208540201  fv      Gamma RP(P), Log-Normal    FALSE #> 11364  711 0.4418561 0.097246388  fv      Gamma RP(P), Log-Normal     TRUE #> 11380  712 0.9598169 0.208774489  fv      Gamma RP(P), Log-Normal    FALSE #> 11396  713 1.0013023 0.213927288  fv      Gamma RP(P), Log-Normal    FALSE #> 11412  714 1.2931185 0.294648103  fv      Gamma RP(P), Log-Normal    FALSE #> 11428  715 1.3871912 0.304898248  fv      Gamma RP(P), Log-Normal    FALSE #> 11444  716 1.0762644 0.237239678  fv      Gamma RP(P), Log-Normal    FALSE #> 11460  717 0.8472068 0.196043062  fv      Gamma RP(P), Log-Normal    FALSE #> 11476  718 1.0140154 0.225564166  fv      Gamma RP(P), Log-Normal    FALSE #> 11492  719 0.7918815 0.168968345  fv      Gamma RP(P), Log-Normal    FALSE #> 11508  720 0.8275318 0.180171933  fv      Gamma RP(P), Log-Normal    FALSE #> 11524  721 1.0706093 0.233121948  fv      Gamma RP(P), Log-Normal    FALSE #> 11540  722 1.2852624 0.283010838  fv      Gamma RP(P), Log-Normal    FALSE #> 11556  723 1.0671711 0.239730437  fv      Gamma RP(P), Log-Normal    FALSE #> 11572  724 0.7945824 0.172668400  fv      Gamma RP(P), Log-Normal    FALSE #> 11588  725 0.8761793 0.190162437  fv      Gamma RP(P), Log-Normal    FALSE #> 11604  726 0.7683224 0.169454349  fv      Gamma RP(P), Log-Normal    FALSE #> 11620  727 1.1401463 0.252371583  fv      Gamma RP(P), Log-Normal    FALSE #> 11636  728 0.6869455 0.156140309  fv      Gamma RP(P), Log-Normal    FALSE #> 11652  729 1.0045609 0.214384308  fv      Gamma RP(P), Log-Normal    FALSE #> 11668  730 1.3739350 0.314933136  fv      Gamma RP(P), Log-Normal    FALSE #> 11684  731 1.4105734 0.312439279  fv      Gamma RP(P), Log-Normal    FALSE #> 11700  732 1.2408039 0.265123430  fv      Gamma RP(P), Log-Normal    FALSE #> 11716  733 0.7434313 0.162871630  fv      Gamma RP(P), Log-Normal    FALSE #> 11732  734 0.7670277 0.169974871  fv      Gamma RP(P), Log-Normal    FALSE #> 11748  735 1.1391446 0.249095776  fv      Gamma RP(P), Log-Normal    FALSE #> 11764  736 1.0869389 0.241739791  fv      Gamma RP(P), Log-Normal    FALSE #> 11780  737 0.9900843 0.215836490  fv      Gamma RP(P), Log-Normal    FALSE #> 11796  738 0.8400574 0.198380530  fv      Gamma RP(P), Log-Normal    FALSE #> 11812  739 0.9098679 0.198083628  fv      Gamma RP(P), Log-Normal    FALSE #> 11828  740 0.8715673 0.188184780  fv      Gamma RP(P), Log-Normal    FALSE #> 11844  741 1.0522008 0.231884466  fv      Gamma RP(P), Log-Normal    FALSE #> 11860  742 0.7308650 0.157131775  fv      Gamma RP(P), Log-Normal    FALSE #> 11876  743 1.0840980 0.236451512  fv      Gamma RP(P), Log-Normal    FALSE #> 11892  744 1.4346874 0.319759809  fv      Gamma RP(P), Log-Normal    FALSE #> 11908  745 0.8684263 0.196492889  fv      Gamma RP(P), Log-Normal    FALSE #> 11924  746 0.5042351 0.108711465  fv      Gamma RP(P), Log-Normal    FALSE #> 11940  747 0.8521053 0.186267508  fv      Gamma RP(P), Log-Normal    FALSE #> 11956  748 1.0776501 0.229694112  fv      Gamma RP(P), Log-Normal    FALSE #> 11972  749 0.8956342 0.198659923  fv      Gamma RP(P), Log-Normal    FALSE #> 11988  750 0.6991894 0.151825792  fv      Gamma RP(P), Log-Normal    FALSE #> 12004  751 1.1707087 0.250296870  fv      Gamma RP(P), Log-Normal    FALSE #> 12020  752 1.0602200 0.230669899  fv      Gamma RP(P), Log-Normal    FALSE #> 12036  753 0.7372900 0.163529975  fv      Gamma RP(P), Log-Normal    FALSE #> 12052  754 1.0951085 0.238851460  fv      Gamma RP(P), Log-Normal    FALSE #> 12068  755 0.9993447 0.215552225  fv      Gamma RP(P), Log-Normal    FALSE #> 12084  756 1.5740582 0.337943971  fv      Gamma RP(P), Log-Normal     TRUE #> 12100  757 0.7728525 0.169474840  fv      Gamma RP(P), Log-Normal    FALSE #> 12116  758 0.6452476 0.140301410  fv      Gamma RP(P), Log-Normal    FALSE #> 12132  759 0.7901227 0.171488061  fv      Gamma RP(P), Log-Normal    FALSE #> 12148  760 0.7639433 0.164920427  fv      Gamma RP(P), Log-Normal    FALSE #> 12164  761 1.0515490 0.232290105  fv      Gamma RP(P), Log-Normal    FALSE #> 12180  762 0.8354865 0.180633162  fv      Gamma RP(P), Log-Normal    FALSE #> 12196  763 0.7587626 0.164916919  fv      Gamma RP(P), Log-Normal    FALSE #> 12212  764 0.9886533 0.219427415  fv      Gamma RP(P), Log-Normal    FALSE #> 12228  765 0.7802736 0.170307432  fv      Gamma RP(P), Log-Normal    FALSE #> 12244  766 0.6561777 0.142009060  fv      Gamma RP(P), Log-Normal    FALSE #> 12260  767 0.9769743 0.213573667  fv      Gamma RP(P), Log-Normal    FALSE #> 12276  768 1.0293469 0.224440289  fv      Gamma RP(P), Log-Normal    FALSE #> 12292  769 1.0177818 0.217646319  fv      Gamma RP(P), Log-Normal    FALSE #> 12308  770 0.7562416 0.168946252  fv      Gamma RP(P), Log-Normal    FALSE #> 12324  771 0.6463465 0.139187794  fv      Gamma RP(P), Log-Normal    FALSE #> 12340  772 1.1961842 0.271932662  fv      Gamma RP(P), Log-Normal    FALSE #> 12356  773 0.8067420 0.176962096  fv      Gamma RP(P), Log-Normal    FALSE #> 12372  774 0.9520088 0.205128560  fv      Gamma RP(P), Log-Normal    FALSE #> 12388  775 1.4347408 0.319703347  fv      Gamma RP(P), Log-Normal    FALSE #> 12404  776 0.9481417 0.202311942  fv      Gamma RP(P), Log-Normal    FALSE #> 12420  777 0.8016802 0.175031737  fv      Gamma RP(P), Log-Normal    FALSE #> 12436  778 1.1275293 0.249908367  fv      Gamma RP(P), Log-Normal    FALSE #> 12452  779 1.1870282 0.261537316  fv      Gamma RP(P), Log-Normal    FALSE #> 12468  780 1.1268945 0.249877221  fv      Gamma RP(P), Log-Normal    FALSE #> 12484  781 0.8099723 0.181662555  fv      Gamma RP(P), Log-Normal    FALSE #> 12500  782 0.9387734 0.218754552  fv      Gamma RP(P), Log-Normal    FALSE #> 12516  783 0.9578883 0.204613312  fv      Gamma RP(P), Log-Normal    FALSE #> 12532  784 0.8156845 0.174404492  fv      Gamma RP(P), Log-Normal    FALSE #> 12548  785 0.8247289 0.177841946  fv      Gamma RP(P), Log-Normal    FALSE #> 12564  786 1.0226574 0.217558799  fv      Gamma RP(P), Log-Normal    FALSE #> 12580  787 1.2335064 0.284150031  fv      Gamma RP(P), Log-Normal    FALSE #> 12596  788 1.0013196 0.221958849  fv      Gamma RP(P), Log-Normal    FALSE #> 12612  789 1.0288684 0.227267275  fv      Gamma RP(P), Log-Normal    FALSE #> 12628  790 1.3948807 0.318147375  fv      Gamma RP(P), Log-Normal    FALSE #> 12644  791 1.2962548 0.289253927  fv      Gamma RP(P), Log-Normal    FALSE #> 12660  792 1.3337738 0.290805393  fv      Gamma RP(P), Log-Normal    FALSE #> 12676  793 0.8720682 0.188928270  fv      Gamma RP(P), Log-Normal    FALSE #> 12692  794 0.4682845 0.102407124  fv      Gamma RP(P), Log-Normal     TRUE #> 12708  795 0.9519556 0.210182873  fv      Gamma RP(P), Log-Normal    FALSE #> 12724  796 1.0864968 0.238092719  fv      Gamma RP(P), Log-Normal    FALSE #> 12740  797 0.7159644 0.155862128  fv      Gamma RP(P), Log-Normal    FALSE #> 12756  798 0.7497156 0.165610200  fv      Gamma RP(P), Log-Normal    FALSE #> 12772  799 1.4945789 0.345846891  fv      Gamma RP(P), Log-Normal     TRUE #> 12788  800 1.2630625 0.274880885  fv      Gamma RP(P), Log-Normal    FALSE #> 12804  801 0.7800030 0.172871017  fv      Gamma RP(P), Log-Normal    FALSE #> 12820  802 0.8108326 0.174897662  fv      Gamma RP(P), Log-Normal    FALSE #> 12836  803 0.9512588 0.202956493  fv      Gamma RP(P), Log-Normal    FALSE #> 12852  804 1.0362523 0.225794955  fv      Gamma RP(P), Log-Normal    FALSE #> 12868  805 0.9811922 0.212636632  fv      Gamma RP(P), Log-Normal    FALSE #> 12884  806 0.7326683 0.158761559  fv      Gamma RP(P), Log-Normal    FALSE #> 12900  807 1.2740750 0.276544259  fv      Gamma RP(P), Log-Normal    FALSE #> 12916  808 0.9781884 0.222359075  fv      Gamma RP(P), Log-Normal    FALSE #> 12932  809 1.3453651 0.309478390  fv      Gamma RP(P), Log-Normal    FALSE #> 12948  810 0.9232016 0.196664367  fv      Gamma RP(P), Log-Normal    FALSE #> 12964  811 1.3197955 0.283396132  fv      Gamma RP(P), Log-Normal    FALSE #> 12980  812 0.8368495 0.182262628  fv      Gamma RP(P), Log-Normal    FALSE #> 12996  813 1.1692435 0.253391788  fv      Gamma RP(P), Log-Normal    FALSE #> 13012  814 0.9869950 0.215275425  fv      Gamma RP(P), Log-Normal    FALSE #> 13028  815 1.4267797 0.314102008  fv      Gamma RP(P), Log-Normal    FALSE #> 13044  816 0.7096351 0.156897106  fv      Gamma RP(P), Log-Normal    FALSE #> 13060  817 1.2207826 0.279563602  fv      Gamma RP(P), Log-Normal    FALSE #> 13076  818 0.8781833 0.195168438  fv      Gamma RP(P), Log-Normal    FALSE #> 13092  819 1.3528171 0.307115701  fv      Gamma RP(P), Log-Normal    FALSE #> 13108  820 0.8750937 0.190140123  fv      Gamma RP(P), Log-Normal    FALSE #> 13124  821 1.0024784 0.225742050  fv      Gamma RP(P), Log-Normal    FALSE #> 13140  822 0.6059361 0.130452065  fv      Gamma RP(P), Log-Normal    FALSE #> 13156  823 1.0219096 0.227328071  fv      Gamma RP(P), Log-Normal    FALSE #> 13172  824 0.9918559 0.217538890  fv      Gamma RP(P), Log-Normal    FALSE #> 13188  825 0.6366212 0.136266805  fv      Gamma RP(P), Log-Normal    FALSE #> 13204  826 0.9444450 0.201370921  fv      Gamma RP(P), Log-Normal    FALSE #> 13220  827 0.9275230 0.201228122  fv      Gamma RP(P), Log-Normal    FALSE #> 13236  828 1.4648905 0.331911086  fv      Gamma RP(P), Log-Normal     TRUE #> 13252  829 0.7088462 0.152408167  fv      Gamma RP(P), Log-Normal    FALSE #> 13268  830 1.2836749 0.282634446  fv      Gamma RP(P), Log-Normal    FALSE #> 13284  831 0.7178710 0.163143070  fv      Gamma RP(P), Log-Normal    FALSE #> 13300  832 0.8691501 0.185987043  fv      Gamma RP(P), Log-Normal    FALSE #> 13316  833 0.9918025 0.216794384  fv      Gamma RP(P), Log-Normal    FALSE #> 13332  834 0.6561897 0.145029001  fv      Gamma RP(P), Log-Normal    FALSE #> 13348  835 0.9531690 0.206507185  fv      Gamma RP(P), Log-Normal    FALSE #> 13364  836 0.9457929 0.208627065  fv      Gamma RP(P), Log-Normal    FALSE #> 13380  837 0.9604259 0.214827897  fv      Gamma RP(P), Log-Normal    FALSE #> 13396  838 1.2231002 0.262948896  fv      Gamma RP(P), Log-Normal    FALSE #> 13412  839 0.7639873 0.164814888  fv      Gamma RP(P), Log-Normal    FALSE #> 13428  840 1.0584085 0.233394444  fv      Gamma RP(P), Log-Normal    FALSE #> 13444  841 0.9060566 0.191644127  fv      Gamma RP(P), Log-Normal    FALSE #> 13460  842 0.9981854 0.222833868  fv      Gamma RP(P), Log-Normal    FALSE #> 13476  843 1.3271882 0.294385787  fv      Gamma RP(P), Log-Normal    FALSE #> 13492  844 1.0083776 0.222785765  fv      Gamma RP(P), Log-Normal    FALSE #> 13508  845 1.4067028 0.311118514  fv      Gamma RP(P), Log-Normal    FALSE #> 13524  846 0.8457063 0.189664761  fv      Gamma RP(P), Log-Normal    FALSE #> 13540  847 0.8266072 0.185765621  fv      Gamma RP(P), Log-Normal    FALSE #> 13556  848 0.5911078 0.127933794  fv      Gamma RP(P), Log-Normal    FALSE #> 13572  849 0.9435684 0.200827455  fv      Gamma RP(P), Log-Normal    FALSE #> 13588  850 0.8421106 0.180835192  fv      Gamma RP(P), Log-Normal    FALSE #> 13604  851 0.9838631 0.215975837  fv      Gamma RP(P), Log-Normal    FALSE #> 13620  852 0.5626470 0.122791446  fv      Gamma RP(P), Log-Normal    FALSE #> 13636  853 0.9664855 0.207250226  fv      Gamma RP(P), Log-Normal    FALSE #> 13652  854 0.7210802 0.158669568  fv      Gamma RP(P), Log-Normal    FALSE #> 13668  855 1.2549558 0.273909144  fv      Gamma RP(P), Log-Normal    FALSE #> 13684  856 1.0890084 0.235216876  fv      Gamma RP(P), Log-Normal    FALSE #> 13700  857 0.7349918 0.162187111  fv      Gamma RP(P), Log-Normal    FALSE #> 13716  858 0.8738882 0.193200988  fv      Gamma RP(P), Log-Normal    FALSE #> 13732  859 0.8725583 0.195344571  fv      Gamma RP(P), Log-Normal    FALSE #> 13748  860 0.7565733 0.161739089  fv      Gamma RP(P), Log-Normal    FALSE #> 13764  861 1.1321227 0.246524283  fv      Gamma RP(P), Log-Normal    FALSE #> 13780  862 0.8393021 0.180926336  fv      Gamma RP(P), Log-Normal    FALSE #> 13796  863 1.0161557 0.222141368  fv      Gamma RP(P), Log-Normal    FALSE #> 13812  864 0.9572296 0.210418635  fv      Gamma RP(P), Log-Normal    FALSE #> 13828  865 1.0152870 0.222102537  fv      Gamma RP(P), Log-Normal    FALSE #> 13844  866 0.7984746 0.170205293  fv      Gamma RP(P), Log-Normal    FALSE #> 13860  867 0.9096029 0.196759398  fv      Gamma RP(P), Log-Normal    FALSE #> 13876  868 0.9705552 0.210115673  fv      Gamma RP(P), Log-Normal    FALSE #> 13892  869 1.0294965 0.226495818  fv      Gamma RP(P), Log-Normal    FALSE #> 13908  870 0.9585866 0.217548683  fv      Gamma RP(P), Log-Normal    FALSE #> 13924  871 1.2540751 0.273750013  fv      Gamma RP(P), Log-Normal    FALSE #> 13940  872 1.3178539 0.292907644  fv      Gamma RP(P), Log-Normal    FALSE #> 13956  873 1.1780594 0.254082562  fv      Gamma RP(P), Log-Normal    FALSE #> 13972  874 1.5369549 0.349989569  fv      Gamma RP(P), Log-Normal     TRUE #> 13988  875 0.7606339 0.164512020  fv      Gamma RP(P), Log-Normal    FALSE #> 14004  876 0.8818046 0.191259261  fv      Gamma RP(P), Log-Normal    FALSE #> 14020  877 1.0016215 0.217910809  fv      Gamma RP(P), Log-Normal    FALSE #> 14036  878 1.0960247 0.243448439  fv      Gamma RP(P), Log-Normal    FALSE #> 14052  879 0.9010159 0.208415640  fv      Gamma RP(P), Log-Normal    FALSE #> 14068  880 1.4167836 0.309960875  fv      Gamma RP(P), Log-Normal    FALSE #> 14084  881 1.1367712 0.251722155  fv      Gamma RP(P), Log-Normal    FALSE #> 14100  882 1.2721470 0.272715293  fv      Gamma RP(P), Log-Normal    FALSE #> 14116  883 0.7534025 0.164687938  fv      Gamma RP(P), Log-Normal    FALSE #> 14132  884 0.7895471 0.169947985  fv      Gamma RP(P), Log-Normal    FALSE #> 14148  885 0.7598150 0.165598184  fv      Gamma RP(P), Log-Normal    FALSE #> 14164  886 0.7546992 0.165577188  fv      Gamma RP(P), Log-Normal    FALSE #> 14180  887 0.9464325 0.207391951  fv      Gamma RP(P), Log-Normal    FALSE #> 14196  888 1.3249936 0.285528452  fv      Gamma RP(P), Log-Normal    FALSE #> 14212  889 1.0483529 0.223855961  fv      Gamma RP(P), Log-Normal    FALSE #> 14228  890 0.7960197 0.175686722  fv      Gamma RP(P), Log-Normal    FALSE #> 14244  891 0.6057941 0.129842155  fv      Gamma RP(P), Log-Normal    FALSE #> 14260  892 0.9117945 0.197815689  fv      Gamma RP(P), Log-Normal    FALSE #> 14276  893 1.1931191 0.269494148  fv      Gamma RP(P), Log-Normal    FALSE #> 14292  894 0.7163861 0.156284310  fv      Gamma RP(P), Log-Normal    FALSE #> 14308  895 0.8521234 0.181727642  fv      Gamma RP(P), Log-Normal    FALSE #> 14324  896 1.1969657 0.257466332  fv      Gamma RP(P), Log-Normal    FALSE #> 14340  897 0.8738869 0.187008230  fv      Gamma RP(P), Log-Normal    FALSE #> 14356  898 1.1901902 0.254087597  fv      Gamma RP(P), Log-Normal    FALSE #> 14372  899 1.0493014 0.231872092  fv      Gamma RP(P), Log-Normal    FALSE #> 14388  900 1.1641367 0.259296079  fv      Gamma RP(P), Log-Normal    FALSE #> 14404  901 0.7441833 0.162379902  fv      Gamma RP(P), Log-Normal    FALSE #> 14420  902 0.7006841 0.150598713  fv      Gamma RP(P), Log-Normal    FALSE #> 14436  903 0.7852252 0.167720028  fv      Gamma RP(P), Log-Normal    FALSE #> 14452  904 1.5979510 0.368445748  fv      Gamma RP(P), Log-Normal     TRUE #> 14468  905 0.7930490 0.170065240  fv      Gamma RP(P), Log-Normal    FALSE #> 14484  906 1.3977134 0.301200536  fv      Gamma RP(P), Log-Normal    FALSE #> 14500  907 1.0303398 0.225804461  fv      Gamma RP(P), Log-Normal    FALSE #> 14516  908 0.8813457 0.201251276  fv      Gamma RP(P), Log-Normal    FALSE #> 14532  909 0.7644669 0.167107442  fv      Gamma RP(P), Log-Normal    FALSE #> 14548  910 0.6744757 0.145971855  fv      Gamma RP(P), Log-Normal    FALSE #> 14564  911 0.9481477 0.214870715  fv      Gamma RP(P), Log-Normal    FALSE #> 14580  912 0.6898847 0.148216456  fv      Gamma RP(P), Log-Normal    FALSE #> 14596  913 0.9740810 0.210880647  fv      Gamma RP(P), Log-Normal    FALSE #> 14612  914 0.8619948 0.192708186  fv      Gamma RP(P), Log-Normal    FALSE #> 14628  915 1.1804584 0.260025660  fv      Gamma RP(P), Log-Normal    FALSE #> 14644  916 0.6691827 0.144375958  fv      Gamma RP(P), Log-Normal    FALSE #> 14660  917 1.0113326 0.222850102  fv      Gamma RP(P), Log-Normal    FALSE #> 14676  918 1.0209571 0.217855650  fv      Gamma RP(P), Log-Normal    FALSE #> 14692  919 0.6796905 0.145360386  fv      Gamma RP(P), Log-Normal    FALSE #> 14708  920 0.9871577 0.211586286  fv      Gamma RP(P), Log-Normal    FALSE #> 14724  921 1.1250715 0.248801866  fv      Gamma RP(P), Log-Normal    FALSE #> 14740  922 1.6097787 0.362204329  fv      Gamma RP(P), Log-Normal     TRUE #> 14756  923 0.9436780 0.203595015  fv      Gamma RP(P), Log-Normal    FALSE #> 14772  924 0.9564219 0.203337756  fv      Gamma RP(P), Log-Normal    FALSE #> 14788  925 1.2119817 0.273392844  fv      Gamma RP(P), Log-Normal    FALSE #> 14804  926 0.9400838 0.200647180  fv      Gamma RP(P), Log-Normal    FALSE #> 14820  927 0.5509122 0.120006203  fv      Gamma RP(P), Log-Normal    FALSE #> 14836  928 0.9335398 0.201024284  fv      Gamma RP(P), Log-Normal    FALSE #> 14852  929 1.0175155 0.223295340  fv      Gamma RP(P), Log-Normal    FALSE #> 14868  930 1.4778512 0.339083118  fv      Gamma RP(P), Log-Normal     TRUE #> 14884  931 0.9049402 0.195294270  fv      Gamma RP(P), Log-Normal    FALSE #> 14900  932 1.2187532 0.262280942  fv      Gamma RP(P), Log-Normal    FALSE #> 14916  933 0.7691144 0.167095118  fv      Gamma RP(P), Log-Normal    FALSE #> 14932  934 0.7255674 0.155278746  fv      Gamma RP(P), Log-Normal    FALSE #> 14948  935 0.5660748 0.122968010  fv      Gamma RP(P), Log-Normal    FALSE #> 14964  936 0.7769992 0.168390284  fv      Gamma RP(P), Log-Normal    FALSE #> 14980  937 1.4918244 0.328500321  fv      Gamma RP(P), Log-Normal     TRUE #> 14996  938 1.0659751 0.233315986  fv      Gamma RP(P), Log-Normal    FALSE #> 15012  939 1.0236145 0.218522667  fv      Gamma RP(P), Log-Normal    FALSE #> 15028  940 1.0295400 0.221691720  fv      Gamma RP(P), Log-Normal    FALSE #> 15044  941 0.8047617 0.173567485  fv      Gamma RP(P), Log-Normal    FALSE #> 15060  942 0.8464834 0.185539126  fv      Gamma RP(P), Log-Normal    FALSE #> 15076  943 0.5599465 0.122123725  fv      Gamma RP(P), Log-Normal    FALSE #> 15092  944 0.7749006 0.165689234  fv      Gamma RP(P), Log-Normal    FALSE #> 15108  945 0.7455152 0.160417654  fv      Gamma RP(P), Log-Normal    FALSE #> 15124  946 1.1738343 0.268801235  fv      Gamma RP(P), Log-Normal    FALSE #> 15140  947 0.8388128 0.185803625  fv      Gamma RP(P), Log-Normal    FALSE #> 15156  948 0.6952556 0.158342180  fv      Gamma RP(P), Log-Normal    FALSE #> 15172  949 0.8177120 0.182041579  fv      Gamma RP(P), Log-Normal    FALSE #> 15188  950 0.7743235 0.171749308  fv      Gamma RP(P), Log-Normal    FALSE #> 15204  951 1.0063523 0.219655118  fv      Gamma RP(P), Log-Normal    FALSE #> 15220  952 0.8235324 0.177580617  fv      Gamma RP(P), Log-Normal    FALSE #> 15236  953 1.6557073 0.364829706  fv      Gamma RP(P), Log-Normal     TRUE #> 15252  954 0.8653755 0.187285027  fv      Gamma RP(P), Log-Normal    FALSE #> 15268  955 1.0301056 0.220205471  fv      Gamma RP(P), Log-Normal    FALSE #> 15284  956 0.7894323 0.172205969  fv      Gamma RP(P), Log-Normal    FALSE #> 15300  957 0.7333930 0.159610119  fv      Gamma RP(P), Log-Normal    FALSE #> 15316  958 0.6756133 0.147379474  fv      Gamma RP(P), Log-Normal    FALSE #> 15332  959 0.8148421 0.177271917  fv      Gamma RP(P), Log-Normal    FALSE #> 15348  960 1.0392486 0.227370460  fv      Gamma RP(P), Log-Normal    FALSE #> 15364  961 0.6272968 0.137352074  fv      Gamma RP(P), Log-Normal    FALSE #> 15380  962 1.2355976 0.269890470  fv      Gamma RP(P), Log-Normal    FALSE #> 15396  963 1.3179458 0.295990708  fv      Gamma RP(P), Log-Normal    FALSE #> 15412  964 0.9410797 0.206058732  fv      Gamma RP(P), Log-Normal    FALSE #> 15428  965 0.7249062 0.156451201  fv      Gamma RP(P), Log-Normal    FALSE #> 15444  966 1.0797601 0.240333361  fv      Gamma RP(P), Log-Normal    FALSE #> 15460  967 0.8711198 0.188877816  fv      Gamma RP(P), Log-Normal    FALSE #> 15476  968 0.7484915 0.163756006  fv      Gamma RP(P), Log-Normal    FALSE #> 15492  969 1.0608001 0.239446947  fv      Gamma RP(P), Log-Normal    FALSE #> 15508  970 1.0392551 0.242127789  fv      Gamma RP(P), Log-Normal    FALSE #> 15524  971 0.8947299 0.198047800  fv      Gamma RP(P), Log-Normal    FALSE #> 15540  972 0.8458660 0.191087294  fv      Gamma RP(P), Log-Normal    FALSE #> 15556  973 1.4370855 0.329114189  fv      Gamma RP(P), Log-Normal     TRUE #> 15572  974 0.6426835 0.141462608  fv      Gamma RP(P), Log-Normal    FALSE #> 15588  975 0.5829796 0.126731490  fv      Gamma RP(P), Log-Normal    FALSE #> 15604  976 0.9819053 0.214952765  fv      Gamma RP(P), Log-Normal    FALSE #> 15620  977 1.2025767 0.259993700  fv      Gamma RP(P), Log-Normal    FALSE #> 15636  978 1.1207741 0.253448839  fv      Gamma RP(P), Log-Normal    FALSE #> 15652  979 1.2212617 0.277004405  fv      Gamma RP(P), Log-Normal    FALSE #> 15668  980 0.6660679 0.144904550  fv      Gamma RP(P), Log-Normal    FALSE #> 15684  981 0.9800822 0.220568363  fv      Gamma RP(P), Log-Normal    FALSE #> 15700  982 1.2715142 0.278377255  fv      Gamma RP(P), Log-Normal    FALSE #> 15716  983 0.6362243 0.139600397  fv      Gamma RP(P), Log-Normal    FALSE #> 15732  984 0.9930194 0.216807089  fv      Gamma RP(P), Log-Normal    FALSE #> 15748  985 1.1721930 0.263401263  fv      Gamma RP(P), Log-Normal    FALSE #> 15764  986 0.8120336 0.173385919  fv      Gamma RP(P), Log-Normal    FALSE #> 15780  987 0.6828491 0.148950787  fv      Gamma RP(P), Log-Normal    FALSE #> 15796  988 0.8144041 0.176435041  fv      Gamma RP(P), Log-Normal    FALSE #> 15812  989 1.1247055 0.243500492  fv      Gamma RP(P), Log-Normal    FALSE #> 15828  990 0.8947567 0.191212448  fv      Gamma RP(P), Log-Normal    FALSE #> 15844  991 1.0661028 0.236299935  fv      Gamma RP(P), Log-Normal    FALSE #> 15860  992 1.1284313 0.252598990  fv      Gamma RP(P), Log-Normal    FALSE #> 15876  993 1.4178796 0.311252553  fv      Gamma RP(P), Log-Normal    FALSE #> 15892  994 0.9354356 0.205470856  fv      Gamma RP(P), Log-Normal    FALSE #> 15908  995 0.9748574 0.210421807  fv      Gamma RP(P), Log-Normal    FALSE #> 15924  996 0.8126153 0.174760175  fv      Gamma RP(P), Log-Normal    FALSE #> 15940  997 0.7325642 0.165565100  fv      Gamma RP(P), Log-Normal    FALSE #> 15956  998 0.8758146 0.191746972  fv      Gamma RP(P), Log-Normal    FALSE #> 15972  999 0.6360544 0.137587237  fv      Gamma RP(P), Log-Normal    FALSE #> 15988 1000 0.6592714 0.146375303  fv      Gamma RP(P), Log-Normal    FALSE #> 5        1 0.6394722 0.122380809  fv Log-Normal        Cox, Gamma    FALSE #> 21       2 0.6045856          NA  fv Log-Normal        Cox, Gamma       NA #> 37       3 0.8010657 0.151976580  fv Log-Normal        Cox, Gamma    FALSE #> 53       4 0.5251708 0.102995382  fv Log-Normal        Cox, Gamma    FALSE #> 69       5 0.7983593 0.148846197  fv Log-Normal        Cox, Gamma    FALSE #> 85       6 0.6885611 0.130409358  fv Log-Normal        Cox, Gamma    FALSE #> 101      7 0.5151179 0.100941935  fv Log-Normal        Cox, Gamma    FALSE #> 117      8 0.7621628 0.144318000  fv Log-Normal        Cox, Gamma    FALSE #> 133      9 0.6643665 0.127376922  fv Log-Normal        Cox, Gamma    FALSE #> 149     10 0.8283729 0.155318927  fv Log-Normal        Cox, Gamma    FALSE #> 165     11 0.7869555 0.147558877  fv Log-Normal        Cox, Gamma    FALSE #> 181     12 0.5133479 0.101148388  fv Log-Normal        Cox, Gamma    FALSE #> 197     13 0.7532925 0.143254004  fv Log-Normal        Cox, Gamma    FALSE #> 213     14 0.6319419 0.120525268  fv Log-Normal        Cox, Gamma    FALSE #> 229     15 0.6431606          NA  fv Log-Normal        Cox, Gamma       NA #> 245     16 0.5317893 0.104988331  fv Log-Normal        Cox, Gamma    FALSE #> 261     17 0.6485239          NA  fv Log-Normal        Cox, Gamma       NA #> 277     18 0.6937009 0.131641157  fv Log-Normal        Cox, Gamma    FALSE #> 293     19 0.7893061 0.147649710  fv Log-Normal        Cox, Gamma    FALSE #> 309     20 0.5473277 0.107505962  fv Log-Normal        Cox, Gamma    FALSE #> 325     21 0.6159281 0.119712689  fv Log-Normal        Cox, Gamma    FALSE #> 341     22 0.5034632 0.098706022  fv Log-Normal        Cox, Gamma    FALSE #> 357     23 0.8872145 0.167318484  fv Log-Normal        Cox, Gamma    FALSE #> 373     24 0.6747845 0.128587018  fv Log-Normal        Cox, Gamma    FALSE #> 389     25 0.5306071 0.103635336  fv Log-Normal        Cox, Gamma    FALSE #> 405     26 0.6424292 0.123098114  fv Log-Normal        Cox, Gamma    FALSE #> 421     27 0.4616309 0.092627917  fv Log-Normal        Cox, Gamma    FALSE #> 437     28 0.6455285 0.124584641  fv Log-Normal        Cox, Gamma    FALSE #> 453     29 0.9355245 0.171887190  fv Log-Normal        Cox, Gamma     TRUE #> 469     30 0.5683618          NA  fv Log-Normal        Cox, Gamma       NA #> 485     31 0.5122115 0.101457499  fv Log-Normal        Cox, Gamma    FALSE #> 501     32 0.5137421 0.101410278  fv Log-Normal        Cox, Gamma    FALSE #> 517     33 0.6617973 0.126758113  fv Log-Normal        Cox, Gamma    FALSE #> 533     34 0.8792537 0.165007321  fv Log-Normal        Cox, Gamma    FALSE #> 549     35 0.5056708 0.102050813  fv Log-Normal        Cox, Gamma    FALSE #> 565     36 0.4631456 0.092364702  fv Log-Normal        Cox, Gamma    FALSE #> 581     37 0.6402471 0.123639086  fv Log-Normal        Cox, Gamma    FALSE #> 597     38 0.6072469 0.118505183  fv Log-Normal        Cox, Gamma    FALSE #> 613     39 0.7170843 0.136908818  fv Log-Normal        Cox, Gamma    FALSE #> 629     40 0.5771348 0.115752065  fv Log-Normal        Cox, Gamma    FALSE #> 645     41 0.6529139 0.124393480  fv Log-Normal        Cox, Gamma    FALSE #> 661     42 0.5148011 0.101711999  fv Log-Normal        Cox, Gamma    FALSE #> 677     43 0.4666952 0.004937570  fv Log-Normal        Cox, Gamma     TRUE #> 693     44 0.6189380 0.118445497  fv Log-Normal        Cox, Gamma    FALSE #> 709     45 0.5376220 0.104802034  fv Log-Normal        Cox, Gamma    FALSE #> 725     46 0.3144607 0.065053567  fv Log-Normal        Cox, Gamma     TRUE #> 741     47 0.7584395 0.142672550  fv Log-Normal        Cox, Gamma    FALSE #> 757     48 0.8275518 0.156556744  fv Log-Normal        Cox, Gamma    FALSE #> 773     49 0.8489886 0.158293529  fv Log-Normal        Cox, Gamma    FALSE #> 789     50 0.5482973 0.107386748  fv Log-Normal        Cox, Gamma    FALSE #> 805     51 0.6839991 0.129492956  fv Log-Normal        Cox, Gamma    FALSE #> 821     52 0.4843987 0.096408435  fv Log-Normal        Cox, Gamma    FALSE #> 837     53 0.8510057 0.158864620  fv Log-Normal        Cox, Gamma    FALSE #> 853     54 0.6256909 0.120555710  fv Log-Normal        Cox, Gamma    FALSE #> 869     55 0.8346268 0.156087294  fv Log-Normal        Cox, Gamma    FALSE #> 885     56 0.7882049 0.150416666  fv Log-Normal        Cox, Gamma    FALSE #> 901     57 0.8201443 0.154000281  fv Log-Normal        Cox, Gamma    FALSE #> 917     58 0.7040050 0.135316400  fv Log-Normal        Cox, Gamma    FALSE #> 933     59 0.6359651 0.121923449  fv Log-Normal        Cox, Gamma    FALSE #> 949     60 0.8198970 0.153870480  fv Log-Normal        Cox, Gamma    FALSE #> 965     61 0.7175756 0.137152304  fv Log-Normal        Cox, Gamma    FALSE #> 981     62 0.6076507 0.118508879  fv Log-Normal        Cox, Gamma    FALSE #> 997     63 0.7819970 0.147791047  fv Log-Normal        Cox, Gamma    FALSE #> 1013    64 0.6957054 0.132639426  fv Log-Normal        Cox, Gamma    FALSE #> 1029    65 0.9526125 0.009775405  fv Log-Normal        Cox, Gamma     TRUE #> 1045    66 0.5441474 0.106172085  fv Log-Normal        Cox, Gamma    FALSE #> 1061    67 0.5523208 0.108353716  fv Log-Normal        Cox, Gamma    FALSE #> 1077    68 0.4929681 0.098414398  fv Log-Normal        Cox, Gamma    FALSE #> 1093    69 0.7299153 0.138530230  fv Log-Normal        Cox, Gamma    FALSE #> 1109    70 0.6423527 0.122802482  fv Log-Normal        Cox, Gamma    FALSE #> 1125    71 0.8632862 0.161486059  fv Log-Normal        Cox, Gamma    FALSE #> 1141    72 0.5591545 0.109417396  fv Log-Normal        Cox, Gamma    FALSE #> 1157    73 0.6075278 0.117438980  fv Log-Normal        Cox, Gamma    FALSE #> 1173    74 0.4193468 0.085150618  fv Log-Normal        Cox, Gamma    FALSE #> 1189    75 0.6458334 0.123807889  fv Log-Normal        Cox, Gamma    FALSE #> 1205    76 0.5319590 0.103524013  fv Log-Normal        Cox, Gamma    FALSE #> 1221    77 0.8210381 0.156007454  fv Log-Normal        Cox, Gamma    FALSE #> 1237    78 0.7326486 0.139950963  fv Log-Normal        Cox, Gamma    FALSE #> 1253    79 0.9943199 0.182305762  fv Log-Normal        Cox, Gamma     TRUE #> 1269    80 0.5401692 0.105772312  fv Log-Normal        Cox, Gamma    FALSE #> 1285    81 0.8195515 0.152333242  fv Log-Normal        Cox, Gamma    FALSE #> 1301    82 0.5996208 0.115639258  fv Log-Normal        Cox, Gamma    FALSE #> 1317    83 0.6878985 0.131159675  fv Log-Normal        Cox, Gamma    FALSE #> 1333    84 0.5677818 0.110729113  fv Log-Normal        Cox, Gamma    FALSE #> 1349    85 0.6777671 0.132744504  fv Log-Normal        Cox, Gamma    FALSE #> 1365    86 0.5697309 0.113283344  fv Log-Normal        Cox, Gamma    FALSE #> 1381    87 0.6515879 0.125557308  fv Log-Normal        Cox, Gamma    FALSE #> 1397    88 0.6589741 0.126940719  fv Log-Normal        Cox, Gamma    FALSE #> 1413    89 0.9088941 0.169266584  fv Log-Normal        Cox, Gamma     TRUE #> 1429    90 0.7931475 0.150240420  fv Log-Normal        Cox, Gamma    FALSE #> 1445    91 0.7963163 0.149402965  fv Log-Normal        Cox, Gamma    FALSE #> 1461    92 0.7857943 0.149847987  fv Log-Normal        Cox, Gamma    FALSE #> 1477    93 0.5504720 0.107382694  fv Log-Normal        Cox, Gamma    FALSE #> 1493    94 0.6884429 0.131346884  fv Log-Normal        Cox, Gamma    FALSE #> 1509    95 0.6380857 0.123419439  fv Log-Normal        Cox, Gamma    FALSE #> 1525    96 0.5041330 0.099649898  fv Log-Normal        Cox, Gamma    FALSE #> 1541    97 0.7322696 0.139902706  fv Log-Normal        Cox, Gamma    FALSE #> 1557    98 0.4127046 0.082919455  fv Log-Normal        Cox, Gamma    FALSE #> 1573    99 0.6763370 0.128560573  fv Log-Normal        Cox, Gamma    FALSE #> 1589   100 0.5878556 0.114387018  fv Log-Normal        Cox, Gamma    FALSE #> 1605   101 0.5514084 0.106995494  fv Log-Normal        Cox, Gamma    FALSE #> 1621   102 0.4762293 0.094742579  fv Log-Normal        Cox, Gamma    FALSE #> 1637   103 0.7020256 0.133873178  fv Log-Normal        Cox, Gamma    FALSE #> 1653   104 0.7099326 0.137457024  fv Log-Normal        Cox, Gamma    FALSE #> 1669   105 0.5077478 0.103091644  fv Log-Normal        Cox, Gamma    FALSE #> 1685   106 0.5839560          NA  fv Log-Normal        Cox, Gamma       NA #> 1701   107 0.6986634 0.132088893  fv Log-Normal        Cox, Gamma    FALSE #> 1717   108 0.6167183 0.119245954  fv Log-Normal        Cox, Gamma    FALSE #> 1733   109 0.8992052 0.168845162  fv Log-Normal        Cox, Gamma    FALSE #> 1749   110 0.7958962 0.150043027  fv Log-Normal        Cox, Gamma    FALSE #> 1765   111 0.6292353 0.123510171  fv Log-Normal        Cox, Gamma    FALSE #> 1781   112 0.6629978 0.127077109  fv Log-Normal        Cox, Gamma    FALSE #> 1797   113 0.7261570 0.136779956  fv Log-Normal        Cox, Gamma    FALSE #> 1813   114 0.6276345 0.122291276  fv Log-Normal        Cox, Gamma    FALSE #> 1829   115 0.6639073 0.126950626  fv Log-Normal        Cox, Gamma    FALSE #> 1845   116 0.6771155 0.129017151  fv Log-Normal        Cox, Gamma    FALSE #> 1861   117 0.7574856 0.142852173  fv Log-Normal        Cox, Gamma    FALSE #> 1877   118 0.5400931 0.105299387  fv Log-Normal        Cox, Gamma    FALSE #> 1893   119 0.5348068 0.104913423  fv Log-Normal        Cox, Gamma    FALSE #> 1909   120 0.7474894 0.142057002  fv Log-Normal        Cox, Gamma    FALSE #> 1925   121 0.6748811 0.129647969  fv Log-Normal        Cox, Gamma    FALSE #> 1941   122 0.5375076 0.108052856  fv Log-Normal        Cox, Gamma    FALSE #> 1957   123 0.4856003 0.096121275  fv Log-Normal        Cox, Gamma    FALSE #> 1973   124 0.5246200 0.103885319  fv Log-Normal        Cox, Gamma    FALSE #> 1989   125 0.4720605          NA  fv Log-Normal        Cox, Gamma       NA #> 2005   126 0.9482783 0.174156199  fv Log-Normal        Cox, Gamma     TRUE #> 2021   127 0.4306473 0.085975068  fv Log-Normal        Cox, Gamma    FALSE #> 2037   128 0.4410806 0.087616373  fv Log-Normal        Cox, Gamma    FALSE #> 2053   129 0.5998340 0.116337857  fv Log-Normal        Cox, Gamma    FALSE #> 2069   130 0.5329207 0.106038502  fv Log-Normal        Cox, Gamma    FALSE #> 2085   131 0.5852483 0.113419735  fv Log-Normal        Cox, Gamma    FALSE #> 2101   132 0.6742929 0.128681326  fv Log-Normal        Cox, Gamma    FALSE #> 2117   133 0.8438814 0.157495241  fv Log-Normal        Cox, Gamma    FALSE #> 2133   134 0.8725599 0.161209909  fv Log-Normal        Cox, Gamma    FALSE #> 2149   135 0.6599414 0.127969864  fv Log-Normal        Cox, Gamma    FALSE #> 2165   136 0.5626806 0.112982953  fv Log-Normal        Cox, Gamma    FALSE #> 2181   137 0.4613542 0.092148877  fv Log-Normal        Cox, Gamma    FALSE #> 2197   138 0.4897440 0.096970193  fv Log-Normal        Cox, Gamma    FALSE #> 2213   139 0.6186832 0.118880800  fv Log-Normal        Cox, Gamma    FALSE #> 2229   140 0.6882313 0.130677278  fv Log-Normal        Cox, Gamma    FALSE #> 2245   141 0.4057784 0.082456100  fv Log-Normal        Cox, Gamma    FALSE #> 2261   142 0.4533127 0.090505938  fv Log-Normal        Cox, Gamma    FALSE #> 2277   143 0.5205757 0.101899405  fv Log-Normal        Cox, Gamma    FALSE #> 2293   144 0.6642470 0.129879650  fv Log-Normal        Cox, Gamma    FALSE #> 2309   145 0.4846138 0.095680840  fv Log-Normal        Cox, Gamma    FALSE #> 2325   146 0.6727758 0.128705520  fv Log-Normal        Cox, Gamma    FALSE #> 2341   147 0.6505837 0.128350311  fv Log-Normal        Cox, Gamma    FALSE #> 2357   148 0.5095640 0.100748115  fv Log-Normal        Cox, Gamma    FALSE #> 2373   149 0.3838389 0.078579334  fv Log-Normal        Cox, Gamma    FALSE #> 2389   150 0.5015661 0.098921642  fv Log-Normal        Cox, Gamma    FALSE #> 2405   151 0.8316167 0.156175999  fv Log-Normal        Cox, Gamma    FALSE #> 2421   152 0.6107663 0.117805851  fv Log-Normal        Cox, Gamma    FALSE #> 2437   153 0.7774550 0.147567258  fv Log-Normal        Cox, Gamma    FALSE #> 2453   154 0.6456305 0.123420490  fv Log-Normal        Cox, Gamma    FALSE #> 2469   155 0.9161229 0.170688228  fv Log-Normal        Cox, Gamma     TRUE #> 2485   156 0.5364627 0.104848903  fv Log-Normal        Cox, Gamma    FALSE #> 2501   157 0.5613152 0.109806565  fv Log-Normal        Cox, Gamma    FALSE #> 2517   158 0.6129741          NA  fv Log-Normal        Cox, Gamma       NA #> 2533   159 0.6589814 0.126591843  fv Log-Normal        Cox, Gamma    FALSE #> 2549   160 0.6071451 0.116592113  fv Log-Normal        Cox, Gamma    FALSE #> 2565   161 0.8464096 0.158851699  fv Log-Normal        Cox, Gamma    FALSE #> 2581   162 0.8600343 0.160292687  fv Log-Normal        Cox, Gamma    FALSE #> 2597   163 0.5244066 0.102558542  fv Log-Normal        Cox, Gamma    FALSE #> 2613   164 0.6350957 0.122832752  fv Log-Normal        Cox, Gamma    FALSE #> 2629   165 0.4845964 0.095537265  fv Log-Normal        Cox, Gamma    FALSE #> 2645   166 0.4272914 0.086071366  fv Log-Normal        Cox, Gamma    FALSE #> 2661   167 0.6479949 0.124144693  fv Log-Normal        Cox, Gamma    FALSE #> 2677   168 0.7462762 0.140607751  fv Log-Normal        Cox, Gamma    FALSE #> 2693   169 0.6323112 0.122436745  fv Log-Normal        Cox, Gamma    FALSE #> 2709   170 0.6601451 0.125902988  fv Log-Normal        Cox, Gamma    FALSE #> 2725   171 0.7032168 0.133018961  fv Log-Normal        Cox, Gamma    FALSE #> 2741   172 0.6390154 0.122082524  fv Log-Normal        Cox, Gamma    FALSE #> 2757   173 0.7009973 0.134209465  fv Log-Normal        Cox, Gamma    FALSE #> 2773   174 0.5290113 0.103348766  fv Log-Normal        Cox, Gamma    FALSE #> 2789   175 0.7105678 0.135604428  fv Log-Normal        Cox, Gamma    FALSE #> 2805   176 0.8662738 0.161421953  fv Log-Normal        Cox, Gamma    FALSE #> 2821   177 0.6637685 0.126258249  fv Log-Normal        Cox, Gamma    FALSE #> 2837   178 0.4790982 0.094932397  fv Log-Normal        Cox, Gamma    FALSE #> 2853   179 0.7824449 0.146344350  fv Log-Normal        Cox, Gamma    FALSE #> 2869   180 0.4960902 0.097942874  fv Log-Normal        Cox, Gamma    FALSE #> 2885   181 0.6319581          NA  fv Log-Normal        Cox, Gamma       NA #> 2901   182 1.0215608 0.186181702  fv Log-Normal        Cox, Gamma     TRUE #> 2917   183 0.6556942 0.127650618  fv Log-Normal        Cox, Gamma    FALSE #> 2933   184 0.8197292 0.152798041  fv Log-Normal        Cox, Gamma    FALSE #> 2949   185 0.7209598 0.136991783  fv Log-Normal        Cox, Gamma    FALSE #> 2965   186 0.6961555 0.132783636  fv Log-Normal        Cox, Gamma    FALSE #> 2981   187 0.6427010 0.124017514  fv Log-Normal        Cox, Gamma    FALSE #> 2997   188 0.8413523 0.159781367  fv Log-Normal        Cox, Gamma    FALSE #> 3013   189 0.6291343 0.120949937  fv Log-Normal        Cox, Gamma    FALSE #> 3029   190 0.6312602 0.120553681  fv Log-Normal        Cox, Gamma    FALSE #> 3045   191 0.6229767 0.120163049  fv Log-Normal        Cox, Gamma    FALSE #> 3061   192 0.6625294 0.128824188  fv Log-Normal        Cox, Gamma    FALSE #> 3077   193 0.6095303 0.117152349  fv Log-Normal        Cox, Gamma    FALSE #> 3093   194 0.8906886 0.165363633  fv Log-Normal        Cox, Gamma    FALSE #> 3109   195 0.5763599 0.113600171  fv Log-Normal        Cox, Gamma    FALSE #> 3125   196 0.5388661 0.105243328  fv Log-Normal        Cox, Gamma    FALSE #> 3141   197 0.6062427 0.117145578  fv Log-Normal        Cox, Gamma    FALSE #> 3157   198 0.6999424 0.133524072  fv Log-Normal        Cox, Gamma    FALSE #> 3173   199 0.4751412 0.094093909  fv Log-Normal        Cox, Gamma    FALSE #> 3189   200 0.5362176 0.105172510  fv Log-Normal        Cox, Gamma    FALSE #> 3205   201 0.7915355 0.148896926  fv Log-Normal        Cox, Gamma    FALSE #> 3221   202 0.6256725 0.120094411  fv Log-Normal        Cox, Gamma    FALSE #> 3237   203 0.5558678 0.108296694  fv Log-Normal        Cox, Gamma    FALSE #> 3253   204 0.5876585 0.113892273  fv Log-Normal        Cox, Gamma    FALSE #> 3269   205 0.5468949 0.106525018  fv Log-Normal        Cox, Gamma    FALSE #> 3285   206 0.6698007 0.128281193  fv Log-Normal        Cox, Gamma    FALSE #> 3301   207 0.8537181 0.163478068  fv Log-Normal        Cox, Gamma    FALSE #> 3317   208 0.8151591 0.151573969  fv Log-Normal        Cox, Gamma    FALSE #> 3333   209 0.5738887 0.112038746  fv Log-Normal        Cox, Gamma    FALSE #> 3349   210 0.5948765 0.115005913  fv Log-Normal        Cox, Gamma    FALSE #> 3365   211 0.7051577 0.134016025  fv Log-Normal        Cox, Gamma    FALSE #> 3381   212 0.6688139 0.127473682  fv Log-Normal        Cox, Gamma    FALSE #> 3397   213 0.5682107 0.111343598  fv Log-Normal        Cox, Gamma    FALSE #> 3413   214 0.5596977 0.108622186  fv Log-Normal        Cox, Gamma    FALSE #> 3429   215 0.6736498 0.131769952  fv Log-Normal        Cox, Gamma    FALSE #> 3445   216 0.8402526 0.156811031  fv Log-Normal        Cox, Gamma    FALSE #> 3461   217 0.6569014 0.126067931  fv Log-Normal        Cox, Gamma    FALSE #> 3477   218 0.6265203          NA  fv Log-Normal        Cox, Gamma       NA #> 3493   219 0.8265282 0.156692936  fv Log-Normal        Cox, Gamma    FALSE #> 3509   220 0.7025852 0.132963964  fv Log-Normal        Cox, Gamma    FALSE #> 3525   221 0.5591480 0.109170032  fv Log-Normal        Cox, Gamma    FALSE #> 3541   222 0.3308424 0.068028520  fv Log-Normal        Cox, Gamma     TRUE #> 3557   223 0.4912096 0.096931558  fv Log-Normal        Cox, Gamma    FALSE #> 3573   224 0.4900371 0.096260044  fv Log-Normal        Cox, Gamma    FALSE #> 3589   225 0.7671184 0.144972525  fv Log-Normal        Cox, Gamma    FALSE #> 3605   226 0.8535113 0.158140918  fv Log-Normal        Cox, Gamma    FALSE #> 3621   227 0.6378454 0.121921746  fv Log-Normal        Cox, Gamma    FALSE #> 3637   228 0.7197385 0.135876027  fv Log-Normal        Cox, Gamma    FALSE #> 3653   229 0.3791053 0.077674263  fv Log-Normal        Cox, Gamma     TRUE #> 3669   230 0.5811553 0.113632012  fv Log-Normal        Cox, Gamma    FALSE #> 3685   231 0.5860880 0.113549906  fv Log-Normal        Cox, Gamma    FALSE #> 3701   232 0.8037955 0.151262566  fv Log-Normal        Cox, Gamma    FALSE #> 3717   233 0.8533986 0.160021433  fv Log-Normal        Cox, Gamma    FALSE #> 3733   234 0.8484815 0.159241562  fv Log-Normal        Cox, Gamma    FALSE #> 3749   235 0.4897224 0.096400413  fv Log-Normal        Cox, Gamma    FALSE #> 3765   236 0.5762535 0.112239275  fv Log-Normal        Cox, Gamma    FALSE #> 3781   237 0.5269204 0.103993561  fv Log-Normal        Cox, Gamma    FALSE #> 3797   238 0.7820117 0.148029154  fv Log-Normal        Cox, Gamma    FALSE #> 3813   239 0.8192601 0.155041621  fv Log-Normal        Cox, Gamma    FALSE #> 3829   240 0.5402785 0.105436912  fv Log-Normal        Cox, Gamma    FALSE #> 3845   241 0.6507911 0.125139921  fv Log-Normal        Cox, Gamma    FALSE #> 3861   242 0.4837204 0.095399989  fv Log-Normal        Cox, Gamma    FALSE #> 3877   243 0.6195218 0.119990163  fv Log-Normal        Cox, Gamma    FALSE #> 3893   244 0.5100376 0.100590658  fv Log-Normal        Cox, Gamma    FALSE #> 3909   245 0.4265852 0.085555768  fv Log-Normal        Cox, Gamma    FALSE #> 3925   246 0.7625282 0.147743867  fv Log-Normal        Cox, Gamma    FALSE #> 3941   247 0.6393146 0.124452824  fv Log-Normal        Cox, Gamma    FALSE #> 3957   248 0.8878569 0.164863233  fv Log-Normal        Cox, Gamma    FALSE #> 3973   249 0.5104467 0.100139240  fv Log-Normal        Cox, Gamma    FALSE #> 3989   250 0.7090348 0.135416883  fv Log-Normal        Cox, Gamma    FALSE #> 4005   251 0.5665994 0.110662478  fv Log-Normal        Cox, Gamma    FALSE #> 4021   252 0.4789176 0.096840906  fv Log-Normal        Cox, Gamma    FALSE #> 4037   253 0.7726023 0.145748257  fv Log-Normal        Cox, Gamma    FALSE #> 4053   254 0.6799045 0.131222201  fv Log-Normal        Cox, Gamma    FALSE #> 4069   255 0.8679381 0.163075058  fv Log-Normal        Cox, Gamma    FALSE #> 4085   256 0.7877915 0.149581667  fv Log-Normal        Cox, Gamma    FALSE #> 4101   257 0.7172398 0.135506691  fv Log-Normal        Cox, Gamma    FALSE #> 4117   258 0.4064345 0.082947195  fv Log-Normal        Cox, Gamma    FALSE #> 4133   259 0.5807491 0.112471382  fv Log-Normal        Cox, Gamma    FALSE #> 4149   260 0.5464734 0.106275466  fv Log-Normal        Cox, Gamma    FALSE #> 4165   261 0.7065837 0.133504731  fv Log-Normal        Cox, Gamma    FALSE #> 4181   262 0.5931230 0.114792244  fv Log-Normal        Cox, Gamma    FALSE #> 4197   263 0.7014259 0.133353663  fv Log-Normal        Cox, Gamma    FALSE #> 4213   264 0.7179491 0.137495764  fv Log-Normal        Cox, Gamma    FALSE #> 4229   265 0.5649677 0.109814735  fv Log-Normal        Cox, Gamma    FALSE #> 4245   266 0.5471308 0.106789710  fv Log-Normal        Cox, Gamma    FALSE #> 4261   267 0.5878749 0.115444716  fv Log-Normal        Cox, Gamma    FALSE #> 4277   268 0.8704538 0.161935150  fv Log-Normal        Cox, Gamma    FALSE #> 4293   269 0.5588668 0.109315818  fv Log-Normal        Cox, Gamma    FALSE #> 4309   270 0.5682294 0.110657678  fv Log-Normal        Cox, Gamma    FALSE #> 4325   271 0.7742804 0.148840997  fv Log-Normal        Cox, Gamma    FALSE #> 4341   272 0.5158531 0.101581050  fv Log-Normal        Cox, Gamma    FALSE #> 4357   273 0.6160109          NA  fv Log-Normal        Cox, Gamma       NA #> 4373   274 0.7917479 0.153086307  fv Log-Normal        Cox, Gamma    FALSE #> 4389   275 0.6364515 0.126896193  fv Log-Normal        Cox, Gamma    FALSE #> 4405   276 0.6699600 0.127579619  fv Log-Normal        Cox, Gamma    FALSE #> 4421   277 0.6950828 0.007187089  fv Log-Normal        Cox, Gamma     TRUE #> 4437   278 0.5145957 0.101023595  fv Log-Normal        Cox, Gamma    FALSE #> 4453   279 0.8117977 0.153216708  fv Log-Normal        Cox, Gamma    FALSE #> 4469   280 0.6997337 0.133181330  fv Log-Normal        Cox, Gamma    FALSE #> 4485   281 0.6982049 0.133445042  fv Log-Normal        Cox, Gamma    FALSE #> 4501   282 0.5416213 0.105440717  fv Log-Normal        Cox, Gamma    FALSE #> 4517   283 0.6857669 0.130142790  fv Log-Normal        Cox, Gamma    FALSE #> 4533   284 0.5399607 0.105818606  fv Log-Normal        Cox, Gamma    FALSE #> 4549   285 0.5893622 0.113916611  fv Log-Normal        Cox, Gamma    FALSE #> 4565   286 0.6293867 0.121852607  fv Log-Normal        Cox, Gamma    FALSE #> 4581   287 0.5320429 0.104084556  fv Log-Normal        Cox, Gamma    FALSE #> 4597   288 0.5385214          NA  fv Log-Normal        Cox, Gamma       NA #> 4613   289 0.6079604 0.117589769  fv Log-Normal        Cox, Gamma    FALSE #> 4629   290 0.6198681 0.119709759  fv Log-Normal        Cox, Gamma    FALSE #> 4645   291 0.6348176 0.121448764  fv Log-Normal        Cox, Gamma    FALSE #> 4661   292 0.5566394 0.109253711  fv Log-Normal        Cox, Gamma    FALSE #> 4677   293 0.5642341 0.108813689  fv Log-Normal        Cox, Gamma    FALSE #> 4693   294 0.6430886 0.123339440  fv Log-Normal        Cox, Gamma    FALSE #> 4709   295 0.5805056 0.113140088  fv Log-Normal        Cox, Gamma    FALSE #> 4725   296 0.7567236 0.143584763  fv Log-Normal        Cox, Gamma    FALSE #> 4741   297 0.3855174 0.078215125  fv Log-Normal        Cox, Gamma    FALSE #> 4757   298 0.5794998 0.112104842  fv Log-Normal        Cox, Gamma    FALSE #> 4773   299 0.7028882 0.133589533  fv Log-Normal        Cox, Gamma    FALSE #> 4789   300 0.5797419 0.112542288  fv Log-Normal        Cox, Gamma    FALSE #> 4805   301 0.9211398 0.170258250  fv Log-Normal        Cox, Gamma     TRUE #> 4821   302 0.7451349 0.144010919  fv Log-Normal        Cox, Gamma    FALSE #> 4837   303 0.5897070 0.114105453  fv Log-Normal        Cox, Gamma    FALSE #> 4853   304 0.5902198 0.114066882  fv Log-Normal        Cox, Gamma    FALSE #> 4869   305 0.6998113 0.132962809  fv Log-Normal        Cox, Gamma    FALSE #> 4885   306 0.5558410 0.108825873  fv Log-Normal        Cox, Gamma    FALSE #> 4901   307 0.5096845 0.099400324  fv Log-Normal        Cox, Gamma    FALSE #> 4917   308 0.6120856 0.118043549  fv Log-Normal        Cox, Gamma    FALSE #> 4933   309 0.5238446 0.102522839  fv Log-Normal        Cox, Gamma    FALSE #> 4949   310 0.5755179 0.112344745  fv Log-Normal        Cox, Gamma    FALSE #> 4965   311 0.7940267 0.148985319  fv Log-Normal        Cox, Gamma    FALSE #> 4981   312 0.5853714 0.006099306  fv Log-Normal        Cox, Gamma     TRUE #> 4997   313 0.4366253 0.087746151  fv Log-Normal        Cox, Gamma    FALSE #> 5013   314 0.6141543 0.119168693  fv Log-Normal        Cox, Gamma    FALSE #> 5029   315 0.5634745 0.109117311  fv Log-Normal        Cox, Gamma    FALSE #> 5045   316 0.5563368 0.109703245  fv Log-Normal        Cox, Gamma    FALSE #> 5061   317 0.7188303 0.135419985  fv Log-Normal        Cox, Gamma    FALSE #> 5077   318 0.5950034 0.119644402  fv Log-Normal        Cox, Gamma    FALSE #> 5093   319 0.6531083 0.125747127  fv Log-Normal        Cox, Gamma    FALSE #> 5109   320 0.7196713 0.136030114  fv Log-Normal        Cox, Gamma    FALSE #> 5125   321 0.8308015 0.156780085  fv Log-Normal        Cox, Gamma    FALSE #> 5141   322 0.4956023 0.097888214  fv Log-Normal        Cox, Gamma    FALSE #> 5157   323 0.6546792 0.124835750  fv Log-Normal        Cox, Gamma    FALSE #> 5173   324 0.4840185 0.095889192  fv Log-Normal        Cox, Gamma    FALSE #> 5189   325 0.5702055 0.111852128  fv Log-Normal        Cox, Gamma    FALSE #> 5205   326 0.7875548 0.148425894  fv Log-Normal        Cox, Gamma    FALSE #> 5221   327 0.4456639 0.088551255  fv Log-Normal        Cox, Gamma    FALSE #> 5237   328 0.6199910 0.118511296  fv Log-Normal        Cox, Gamma    FALSE #> 5253   329 0.6070999 0.118226137  fv Log-Normal        Cox, Gamma    FALSE #> 5269   330 0.4693525 0.092970101  fv Log-Normal        Cox, Gamma    FALSE #> 5285   331 0.7782761 0.145952440  fv Log-Normal        Cox, Gamma    FALSE #> 5301   332 0.6147740 0.118149084  fv Log-Normal        Cox, Gamma    FALSE #> 5317   333 0.4880236 0.097261035  fv Log-Normal        Cox, Gamma    FALSE #> 5333   334 0.4884141 0.096379233  fv Log-Normal        Cox, Gamma    FALSE #> 5349   335 0.5032586 0.099171283  fv Log-Normal        Cox, Gamma    FALSE #> 5365   336 0.7805535 0.148128686  fv Log-Normal        Cox, Gamma    FALSE #> 5381   337 0.6032561 0.116743833  fv Log-Normal        Cox, Gamma    FALSE #> 5397   338 0.6551628 0.125118867  fv Log-Normal        Cox, Gamma    FALSE #> 5413   339 0.5169801 0.101821996  fv Log-Normal        Cox, Gamma    FALSE #> 5429   340 0.8196064 0.154398664  fv Log-Normal        Cox, Gamma    FALSE #> 5445   341 0.5937845 0.117321745  fv Log-Normal        Cox, Gamma    FALSE #> 5461   342 0.5195210 0.101714573  fv Log-Normal        Cox, Gamma    FALSE #> 5477   343 0.5449285 0.106821634  fv Log-Normal        Cox, Gamma    FALSE #> 5493   344 0.6178628 0.119729312  fv Log-Normal        Cox, Gamma    FALSE #> 5509   345 0.5748172 0.111195189  fv Log-Normal        Cox, Gamma    FALSE #> 5525   346 0.4467481 0.089775532  fv Log-Normal        Cox, Gamma    FALSE #> 5541   347 0.5922002 0.115336519  fv Log-Normal        Cox, Gamma    FALSE #> 5557   348 0.5431553 0.107023045  fv Log-Normal        Cox, Gamma    FALSE #> 5573   349 0.5963678 0.115282859  fv Log-Normal        Cox, Gamma    FALSE #> 5589   350 0.7126978 0.135785768  fv Log-Normal        Cox, Gamma    FALSE #> 5605   351 0.5000000 0.098314792  fv Log-Normal        Cox, Gamma    FALSE #> 5621   352 0.7598097 0.144565206  fv Log-Normal        Cox, Gamma    FALSE #> 5637   353 0.6849065 0.131859665  fv Log-Normal        Cox, Gamma    FALSE #> 5653   354 0.5847636 0.113209083  fv Log-Normal        Cox, Gamma    FALSE #> 5669   355 0.6647230 0.126982092  fv Log-Normal        Cox, Gamma    FALSE #> 5685   356 0.6167743          NA  fv Log-Normal        Cox, Gamma       NA #> 5701   357 0.9010051 0.172186528  fv Log-Normal        Cox, Gamma    FALSE #> 5717   358 0.6069449 0.117219188  fv Log-Normal        Cox, Gamma    FALSE #> 5733   359 0.4821542 0.096106206  fv Log-Normal        Cox, Gamma    FALSE #> 5749   360 0.5664989 0.109859357  fv Log-Normal        Cox, Gamma    FALSE #> 5765   361 0.5678027 0.110631454  fv Log-Normal        Cox, Gamma    FALSE #> 5781   362 0.6276318          NA  fv Log-Normal        Cox, Gamma       NA #> 5797   363 0.5816629 0.114016656  fv Log-Normal        Cox, Gamma    FALSE #> 5813   364 0.6859902 0.129879220  fv Log-Normal        Cox, Gamma    FALSE #> 5829   365 0.6491866 0.124319049  fv Log-Normal        Cox, Gamma    FALSE #> 5845   366 0.5865690 0.113684228  fv Log-Normal        Cox, Gamma    FALSE #> 5861   367 0.7319157 0.139897352  fv Log-Normal        Cox, Gamma    FALSE #> 5877   368 0.8046332 0.150989946  fv Log-Normal        Cox, Gamma    FALSE #> 5893   369 0.5082926 0.099866024  fv Log-Normal        Cox, Gamma    FALSE #> 5909   370 0.6604881 0.126498901  fv Log-Normal        Cox, Gamma    FALSE #> 5925   371 0.6356362 0.124258194  fv Log-Normal        Cox, Gamma    FALSE #> 5941   372 0.4589990 0.091576188  fv Log-Normal        Cox, Gamma    FALSE #> 5957   373 0.8629317 0.160738289  fv Log-Normal        Cox, Gamma    FALSE #> 5973   374 0.5057169 0.100061515  fv Log-Normal        Cox, Gamma    FALSE #> 5989   375 0.6330062 0.123040876  fv Log-Normal        Cox, Gamma    FALSE #> 6005   376 0.6046560 0.116978108  fv Log-Normal        Cox, Gamma    FALSE #> 6021   377 0.4747655 0.005013608  fv Log-Normal        Cox, Gamma     TRUE #> 6037   378 0.5334781 0.005584094  fv Log-Normal        Cox, Gamma     TRUE #> 6053   379 0.4830196 0.095784689  fv Log-Normal        Cox, Gamma    FALSE #> 6069   380 0.5694002 0.110358969  fv Log-Normal        Cox, Gamma    FALSE #> 6085   381 0.6863816 0.130635692  fv Log-Normal        Cox, Gamma    FALSE #> 6101   382 0.6287443 0.121561327  fv Log-Normal        Cox, Gamma    FALSE #> 6117   383 0.6705983 0.128564833  fv Log-Normal        Cox, Gamma    FALSE #> 6133   384 0.5832236          NA  fv Log-Normal        Cox, Gamma       NA #> 6149   385 0.5054799 0.100036351  fv Log-Normal        Cox, Gamma    FALSE #> 6165   386 0.7721235 0.146738604  fv Log-Normal        Cox, Gamma    FALSE #> 6181   387 0.5792390 0.113921561  fv Log-Normal        Cox, Gamma    FALSE #> 6197   388 0.6998366 0.131999951  fv Log-Normal        Cox, Gamma    FALSE #> 6213   389 0.6587321 0.125619377  fv Log-Normal        Cox, Gamma    FALSE #> 6229   390 0.5746738 0.111840939  fv Log-Normal        Cox, Gamma    FALSE #> 6245   391 0.7150477 0.135480569  fv Log-Normal        Cox, Gamma    FALSE #> 6261   392 0.5580029 0.109198136  fv Log-Normal        Cox, Gamma    FALSE #> 6277   393 0.5189269 0.101936787  fv Log-Normal        Cox, Gamma    FALSE #> 6293   394 0.8337900 0.157631224  fv Log-Normal        Cox, Gamma    FALSE #> 6309   395 0.6557804 0.125496415  fv Log-Normal        Cox, Gamma    FALSE #> 6325   396 0.8542463 0.159311110  fv Log-Normal        Cox, Gamma    FALSE #> 6341   397 0.5753214 0.111380720  fv Log-Normal        Cox, Gamma    FALSE #> 6357   398 0.5763301          NA  fv Log-Normal        Cox, Gamma       NA #> 6373   399 0.7343354 0.139561737  fv Log-Normal        Cox, Gamma    FALSE #> 6389   400 0.4829329 0.095986778  fv Log-Normal        Cox, Gamma    FALSE #> 6405   401 0.5236326 0.102648828  fv Log-Normal        Cox, Gamma    FALSE #> 6421   402 0.4724927 0.094782726  fv Log-Normal        Cox, Gamma    FALSE #> 6437   403 0.4746930 0.093432378  fv Log-Normal        Cox, Gamma    FALSE #> 6453   404 0.5498989 0.108729092  fv Log-Normal        Cox, Gamma    FALSE #> 6469   405 0.4680169 0.093560491  fv Log-Normal        Cox, Gamma    FALSE #> 6485   406 0.5976504 0.115198092  fv Log-Normal        Cox, Gamma    FALSE #> 6501   407 0.7073151 0.135807607  fv Log-Normal        Cox, Gamma    FALSE #> 6517   408 0.4534840 0.092196184  fv Log-Normal        Cox, Gamma    FALSE #> 6533   409 0.5996849 0.115802131  fv Log-Normal        Cox, Gamma    FALSE #> 6549   410 0.7350483 0.141098444  fv Log-Normal        Cox, Gamma    FALSE #> 6565   411 0.5844294 0.114213027  fv Log-Normal        Cox, Gamma    FALSE #> 6581   412 0.6355002 0.123732471  fv Log-Normal        Cox, Gamma    FALSE #> 6597   413 0.4795980 0.095797688  fv Log-Normal        Cox, Gamma    FALSE #> 6613   414 0.8214290 0.154482941  fv Log-Normal        Cox, Gamma    FALSE #> 6629   415 1.0474272 0.190204210  fv Log-Normal        Cox, Gamma     TRUE #> 6645   416 0.5058717 0.100738059  fv Log-Normal        Cox, Gamma    FALSE #> 6661   417 0.5077597 0.099999290  fv Log-Normal        Cox, Gamma    FALSE #> 6677   418 0.7561877 0.141887306  fv Log-Normal        Cox, Gamma    FALSE #> 6693   419 0.4072063 0.081901396  fv Log-Normal        Cox, Gamma    FALSE #> 6709   420 0.6455902 0.124271550  fv Log-Normal        Cox, Gamma    FALSE #> 6725   421 0.7228223 0.137917495  fv Log-Normal        Cox, Gamma    FALSE #> 6741   422 0.5497526 0.108664623  fv Log-Normal        Cox, Gamma    FALSE #> 6757   423 0.5299681 0.103771903  fv Log-Normal        Cox, Gamma    FALSE #> 6773   424 0.5967779 0.115501171  fv Log-Normal        Cox, Gamma    FALSE #> 6789   425 0.7086593 0.136018726  fv Log-Normal        Cox, Gamma    FALSE #> 6805   426 0.7463880 0.141871924  fv Log-Normal        Cox, Gamma    FALSE #> 6821   427 0.9312417 0.173523729  fv Log-Normal        Cox, Gamma     TRUE #> 6837   428 0.7297720 0.139335836  fv Log-Normal        Cox, Gamma    FALSE #> 6853   429 0.6423904 0.123215428  fv Log-Normal        Cox, Gamma    FALSE #> 6869   430 0.7904786 0.149398357  fv Log-Normal        Cox, Gamma    FALSE #> 6885   431 0.5748521 0.111859450  fv Log-Normal        Cox, Gamma    FALSE #> 6901   432 0.7837588 0.147930476  fv Log-Normal        Cox, Gamma    FALSE #> 6917   433 0.5077611 0.099539593  fv Log-Normal        Cox, Gamma    FALSE #> 6933   434 0.5698565 0.111750053  fv Log-Normal        Cox, Gamma    FALSE #> 6949   435 0.4345445 0.087168355  fv Log-Normal        Cox, Gamma    FALSE #> 6965   436 0.6488462 0.124059132  fv Log-Normal        Cox, Gamma    FALSE #> 6981   437 0.4985519 0.098328201  fv Log-Normal        Cox, Gamma    FALSE #> 6997   438 0.7555537 0.142820397  fv Log-Normal        Cox, Gamma    FALSE #> 7013   439 0.5195431 0.102728067  fv Log-Normal        Cox, Gamma    FALSE #> 7029   440 0.4001901 0.081978639  fv Log-Normal        Cox, Gamma    FALSE #> 7045   441 0.5221735 0.103055594  fv Log-Normal        Cox, Gamma    FALSE #> 7061   442 0.6261760 0.120790762  fv Log-Normal        Cox, Gamma    FALSE #> 7077   443 0.7115103 0.135894182  fv Log-Normal        Cox, Gamma    FALSE #> 7093   444 0.8105371 0.154148350  fv Log-Normal        Cox, Gamma    FALSE #> 7109   445 0.7507591 0.141487559  fv Log-Normal        Cox, Gamma    FALSE #> 7125   446 0.5493869 0.107028499  fv Log-Normal        Cox, Gamma    FALSE #> 7141   447 0.7140244 0.135131039  fv Log-Normal        Cox, Gamma    FALSE #> 7157   448 0.7267933 0.007501018  fv Log-Normal        Cox, Gamma     TRUE #> 7173   449 0.8146904 0.153718357  fv Log-Normal        Cox, Gamma    FALSE #> 7189   450 0.5712926 0.005956948  fv Log-Normal        Cox, Gamma     TRUE #> 7205   451 0.6845371 0.007089436  fv Log-Normal        Cox, Gamma     TRUE #> 7221   452 0.6853901 0.130472792  fv Log-Normal        Cox, Gamma    FALSE #> 7237   453 0.6417479 0.123250237  fv Log-Normal        Cox, Gamma    FALSE #> 7253   454 0.5911276 0.114601422  fv Log-Normal        Cox, Gamma    FALSE #> 7269   455 0.5984098 0.116590552  fv Log-Normal        Cox, Gamma    FALSE #> 7285   456 0.4505173 0.090165786  fv Log-Normal        Cox, Gamma    FALSE #> 7301   457 0.7620831 0.143403670  fv Log-Normal        Cox, Gamma    FALSE #> 7317   458 0.6686242 0.128940301  fv Log-Normal        Cox, Gamma    FALSE #> 7333   459 0.7889405 0.148922011  fv Log-Normal        Cox, Gamma    FALSE #> 7349   460 0.5358846 0.103974358  fv Log-Normal        Cox, Gamma    FALSE #> 7365   461 0.6733711 0.128134140  fv Log-Normal        Cox, Gamma    FALSE #> 7381   462 0.5991040 0.115019026  fv Log-Normal        Cox, Gamma    FALSE #> 7397   463 0.8014668 0.152431379  fv Log-Normal        Cox, Gamma    FALSE #> 7413   464 0.6531009 0.124232793  fv Log-Normal        Cox, Gamma    FALSE #> 7429   465 0.7414829 0.140694298  fv Log-Normal        Cox, Gamma    FALSE #> 7445   466 0.7425237 0.140996639  fv Log-Normal        Cox, Gamma    FALSE #> 7461   467 0.6586817 0.127143401  fv Log-Normal        Cox, Gamma    FALSE #> 7477   468 0.7449020 0.139983687  fv Log-Normal        Cox, Gamma    FALSE #> 7493   469 0.7953894 0.151211847  fv Log-Normal        Cox, Gamma    FALSE #> 7509   470 0.6709136 0.129021836  fv Log-Normal        Cox, Gamma    FALSE #> 7525   471 0.5187494 0.101602830  fv Log-Normal        Cox, Gamma    FALSE #> 7541   472 0.7762352 0.146346463  fv Log-Normal        Cox, Gamma    FALSE #> 7557   473 0.6079842 0.117712573  fv Log-Normal        Cox, Gamma    FALSE #> 7573   474 0.8214972 0.153722361  fv Log-Normal        Cox, Gamma    FALSE #> 7589   475 0.5320746 0.103794209  fv Log-Normal        Cox, Gamma    FALSE #> 7605   476 0.4423624 0.088897145  fv Log-Normal        Cox, Gamma    FALSE #> 7621   477 0.4959494 0.099039376  fv Log-Normal        Cox, Gamma    FALSE #> 7637   478 0.6609360 0.125421024  fv Log-Normal        Cox, Gamma    FALSE #> 7653   479 0.6794332 0.129846506  fv Log-Normal        Cox, Gamma    FALSE #> 7669   480 0.9217237 0.171612582  fv Log-Normal        Cox, Gamma     TRUE #> 7685   481 0.8691868 0.161785535  fv Log-Normal        Cox, Gamma    FALSE #> 7701   482 0.6070555 0.116947739  fv Log-Normal        Cox, Gamma    FALSE #> 7717   483 0.7383561 0.139682652  fv Log-Normal        Cox, Gamma    FALSE #> 7733   484 0.7324532 0.138770244  fv Log-Normal        Cox, Gamma    FALSE #> 7749   485 0.5259924 0.102916295  fv Log-Normal        Cox, Gamma    FALSE #> 7765   486 0.3905568 0.078816713  fv Log-Normal        Cox, Gamma    FALSE #> 7781   487 0.7444582 0.140331842  fv Log-Normal        Cox, Gamma    FALSE #> 7797   488 0.3979924 0.080542514  fv Log-Normal        Cox, Gamma    FALSE #> 7813   489 0.6556261 0.126188084  fv Log-Normal        Cox, Gamma    FALSE #> 7829   490 0.6030237          NA  fv Log-Normal        Cox, Gamma       NA #> 7845   491 0.6246608 0.120905487  fv Log-Normal        Cox, Gamma    FALSE #> 7861   492 0.4825731 0.094903496  fv Log-Normal        Cox, Gamma    FALSE #> 7877   493 0.9584215 0.177094162  fv Log-Normal        Cox, Gamma     TRUE #> 7893   494 0.6014177          NA  fv Log-Normal        Cox, Gamma       NA #> 7909   495 0.7160493 0.135345935  fv Log-Normal        Cox, Gamma    FALSE #> 7925   496 0.8782739 0.009032245  fv Log-Normal        Cox, Gamma     TRUE #> 7941   497 0.5213246 0.102227484  fv Log-Normal        Cox, Gamma    FALSE #> 7957   498 0.6085879          NA  fv Log-Normal        Cox, Gamma       NA #> 7973   499 0.7577549 0.144119208  fv Log-Normal        Cox, Gamma    FALSE #> 7989   500 0.6578232          NA  fv Log-Normal        Cox, Gamma       NA #> 8005   501 1.1931654 0.214830369  fv Log-Normal        Cox, Gamma     TRUE #> 8021   502 0.7043797 0.134622077  fv Log-Normal        Cox, Gamma    FALSE #> 8037   503 0.6449373 0.123467432  fv Log-Normal        Cox, Gamma    FALSE #> 8053   504 0.7763836 0.146112050  fv Log-Normal        Cox, Gamma    FALSE #> 8069   505 0.6039837 0.115828958  fv Log-Normal        Cox, Gamma    FALSE #> 8085   506 0.8130845 0.152643800  fv Log-Normal        Cox, Gamma    FALSE #> 8101   507 0.5864967 0.112727930  fv Log-Normal        Cox, Gamma    FALSE #> 8117   508 0.5052933 0.100823068  fv Log-Normal        Cox, Gamma    FALSE #> 8133   509 0.5737083 0.111195098  fv Log-Normal        Cox, Gamma    FALSE #> 8149   510 0.5598720 0.108532643  fv Log-Normal        Cox, Gamma    FALSE #> 8165   511 0.4042964 0.081176179  fv Log-Normal        Cox, Gamma    FALSE #> 8181   512 0.5921053 0.114606976  fv Log-Normal        Cox, Gamma    FALSE #> 8197   513 0.6463252 0.123735617  fv Log-Normal        Cox, Gamma    FALSE #> 8213   514 0.6396754 0.123749665  fv Log-Normal        Cox, Gamma    FALSE #> 8229   515 0.5031870 0.099629425  fv Log-Normal        Cox, Gamma    FALSE #> 8245   516 0.6478424 0.124667693  fv Log-Normal        Cox, Gamma    FALSE #> 8261   517 0.3317136 0.068474900  fv Log-Normal        Cox, Gamma     TRUE #> 8277   518 0.6553708 0.125632038  fv Log-Normal        Cox, Gamma    FALSE #> 8293   519 0.6725635 0.128430012  fv Log-Normal        Cox, Gamma    FALSE #> 8309   520 0.6841932 0.129888821  fv Log-Normal        Cox, Gamma    FALSE #> 8325   521 0.6377897          NA  fv Log-Normal        Cox, Gamma       NA #> 8341   522 0.4878991 0.096317522  fv Log-Normal        Cox, Gamma    FALSE #> 8357   523 0.6491452 0.123990211  fv Log-Normal        Cox, Gamma    FALSE #> 8373   524 0.5224167 0.104004647  fv Log-Normal        Cox, Gamma    FALSE #> 8389   525 0.6777538 0.130516488  fv Log-Normal        Cox, Gamma    FALSE #> 8405   526 0.5584814 0.109562292  fv Log-Normal        Cox, Gamma    FALSE #> 8421   527 0.6843104 0.132090449  fv Log-Normal        Cox, Gamma    FALSE #> 8437   528 0.7413526 0.140137362  fv Log-Normal        Cox, Gamma    FALSE #> 8453   529 0.7941552 0.148738686  fv Log-Normal        Cox, Gamma    FALSE #> 8469   530 0.3946714 0.079959532  fv Log-Normal        Cox, Gamma    FALSE #> 8485   531 0.7861082 0.147135826  fv Log-Normal        Cox, Gamma    FALSE #> 8501   532 0.6150512          NA  fv Log-Normal        Cox, Gamma       NA #> 8517   533 0.6126927 0.118046878  fv Log-Normal        Cox, Gamma    FALSE #> 8533   534 0.6733886 0.129512171  fv Log-Normal        Cox, Gamma    FALSE #> 8549   535 0.7332816 0.138322504  fv Log-Normal        Cox, Gamma    FALSE #> 8565   536 0.5205081 0.102413941  fv Log-Normal        Cox, Gamma    FALSE #> 8581   537 1.0384914 0.188738973  fv Log-Normal        Cox, Gamma     TRUE #> 8597   538 0.4543334 0.090536911  fv Log-Normal        Cox, Gamma    FALSE #> 8613   539 0.6715901          NA  fv Log-Normal        Cox, Gamma       NA #> 8629   540 0.5523389 0.107900473  fv Log-Normal        Cox, Gamma    FALSE #> 8645   541 0.8043327 0.150755997  fv Log-Normal        Cox, Gamma    FALSE #> 8661   542 0.6934063 0.132246580  fv Log-Normal        Cox, Gamma    FALSE #> 8677   543 0.7469130 0.142208358  fv Log-Normal        Cox, Gamma    FALSE #> 8693   544 0.6771137 0.129576795  fv Log-Normal        Cox, Gamma    FALSE #> 8709   545 0.5138754 0.100742098  fv Log-Normal        Cox, Gamma    FALSE #> 8725   546 0.8303685 0.156135534  fv Log-Normal        Cox, Gamma    FALSE #> 8741   547 0.6111091 0.118380971  fv Log-Normal        Cox, Gamma    FALSE #> 8757   548 0.5141719 0.102038969  fv Log-Normal        Cox, Gamma    FALSE #> 8773   549 0.7349328 0.138690104  fv Log-Normal        Cox, Gamma    FALSE #> 8789   550 0.5083307 0.101829261  fv Log-Normal        Cox, Gamma    FALSE #> 8805   551 0.6683084 0.127523621  fv Log-Normal        Cox, Gamma    FALSE #> 8821   552 0.6281157          NA  fv Log-Normal        Cox, Gamma       NA #> 8837   553 0.7055114 0.132958925  fv Log-Normal        Cox, Gamma    FALSE #> 8853   554 0.8280844 0.156933583  fv Log-Normal        Cox, Gamma    FALSE #> 8869   555 0.6843468 0.130041654  fv Log-Normal        Cox, Gamma    FALSE #> 8885   556 0.7533713 0.142048697  fv Log-Normal        Cox, Gamma    FALSE #> 8901   557 0.6250902 0.120157525  fv Log-Normal        Cox, Gamma    FALSE #> 8917   558 0.6066749 0.117016286  fv Log-Normal        Cox, Gamma    FALSE #> 8933   559 0.5426162 0.106388816  fv Log-Normal        Cox, Gamma    FALSE #> 8949   560 0.7141690 0.135766994  fv Log-Normal        Cox, Gamma    FALSE #> 8965   561 1.0274772 0.187741551  fv Log-Normal        Cox, Gamma     TRUE #> 8981   562 0.7421217 0.140796140  fv Log-Normal        Cox, Gamma    FALSE #> 8997   563 0.6799533 0.129434410  fv Log-Normal        Cox, Gamma    FALSE #> 9013   564 0.5069500 0.099182157  fv Log-Normal        Cox, Gamma    FALSE #> 9029   565 0.5192371 0.102478262  fv Log-Normal        Cox, Gamma    FALSE #> 9045   566 0.6242465 0.120118523  fv Log-Normal        Cox, Gamma    FALSE #> 9061   567 0.5965461 0.115018660  fv Log-Normal        Cox, Gamma    FALSE #> 9077   568 0.4716597 0.093558081  fv Log-Normal        Cox, Gamma    FALSE #> 9093   569 0.7968988 0.150002405  fv Log-Normal        Cox, Gamma    FALSE #> 9109   570 0.4621690 0.091289543  fv Log-Normal        Cox, Gamma    FALSE #> 9125   571 0.5841130 0.112584938  fv Log-Normal        Cox, Gamma    FALSE #> 9141   572 0.5706712 0.111580535  fv Log-Normal        Cox, Gamma    FALSE #> 9157   573 0.5738192 0.111598149  fv Log-Normal        Cox, Gamma    FALSE #> 9173   574 0.6448252 0.123758649  fv Log-Normal        Cox, Gamma    FALSE #> 9189   575 0.5479147 0.107160503  fv Log-Normal        Cox, Gamma    FALSE #> 9205   576 0.5551117 0.108212537  fv Log-Normal        Cox, Gamma    FALSE #> 9221   577 0.9281460 0.174612909  fv Log-Normal        Cox, Gamma     TRUE #> 9237   578 0.5259939 0.103027487  fv Log-Normal        Cox, Gamma    FALSE #> 9253   579 0.5383092 0.106116519  fv Log-Normal        Cox, Gamma    FALSE #> 9269   580 0.4711285 0.094424105  fv Log-Normal        Cox, Gamma    FALSE #> 9285   581 0.6494811 0.124008306  fv Log-Normal        Cox, Gamma    FALSE #> 9301   582 0.6771744 0.129385168  fv Log-Normal        Cox, Gamma    FALSE #> 9317   583 0.8865092 0.163523339  fv Log-Normal        Cox, Gamma    FALSE #> 9333   584 0.5000000 0.098868076  fv Log-Normal        Cox, Gamma    FALSE #> 9349   585 0.6156845 0.118126235  fv Log-Normal        Cox, Gamma    FALSE #> 9365   586 0.6909358 0.132262861  fv Log-Normal        Cox, Gamma    FALSE #> 9381   587 0.8254731 0.156164504  fv Log-Normal        Cox, Gamma    FALSE #> 9397   588 0.4985840 0.098185971  fv Log-Normal        Cox, Gamma    FALSE #> 9413   589 0.5667331 0.110590810  fv Log-Normal        Cox, Gamma    FALSE #> 9429   590 0.6755327 0.128974744  fv Log-Normal        Cox, Gamma    FALSE #> 9445   591 0.7100735 0.134783444  fv Log-Normal        Cox, Gamma    FALSE #> 9461   592 0.6398759 0.122043702  fv Log-Normal        Cox, Gamma    FALSE #> 9477   593 0.8497606 0.159346921  fv Log-Normal        Cox, Gamma    FALSE #> 9493   594 0.5974971 0.114783658  fv Log-Normal        Cox, Gamma    FALSE #> 9509   595 0.4889633 0.096514942  fv Log-Normal        Cox, Gamma    FALSE #> 9525   596 0.7551888 0.146743300  fv Log-Normal        Cox, Gamma    FALSE #> 9541   597 0.5546966 0.108577585  fv Log-Normal        Cox, Gamma    FALSE #> 9557   598 0.8867973 0.164441792  fv Log-Normal        Cox, Gamma    FALSE #> 9573   599 0.7171896 0.139493732  fv Log-Normal        Cox, Gamma    FALSE #> 9589   600 0.4879105 0.096772910  fv Log-Normal        Cox, Gamma    FALSE #> 9605   601 1.0026921          NA  fv Log-Normal        Cox, Gamma     TRUE #> 9621   602 0.9325088 0.173557163  fv Log-Normal        Cox, Gamma     TRUE #> 9637   603 0.3888751 0.079033438  fv Log-Normal        Cox, Gamma    FALSE #> 9653   604 0.6842209 0.130715889  fv Log-Normal        Cox, Gamma    FALSE #> 9669   605 1.2003127 0.217054265  fv Log-Normal        Cox, Gamma     TRUE #> 9685   606 0.6547442          NA  fv Log-Normal        Cox, Gamma       NA #> 9701   607 0.5317105 0.105097289  fv Log-Normal        Cox, Gamma    FALSE #> 9717   608 0.3897320 0.078854986  fv Log-Normal        Cox, Gamma    FALSE #> 9733   609 0.7396654 0.139623911  fv Log-Normal        Cox, Gamma    FALSE #> 9749   610 0.5778586 0.112592700  fv Log-Normal        Cox, Gamma    FALSE #> 9765   611 0.7311360 0.139959143  fv Log-Normal        Cox, Gamma    FALSE #> 9781   612 0.4822317 0.094986841  fv Log-Normal        Cox, Gamma    FALSE #> 9797   613 0.6700561 0.127315233  fv Log-Normal        Cox, Gamma    FALSE #> 9813   614 0.6139652 0.117963537  fv Log-Normal        Cox, Gamma    FALSE #> 9829   615 0.7041258 0.133147573  fv Log-Normal        Cox, Gamma    FALSE #> 9845   616 0.6486597 0.123698992  fv Log-Normal        Cox, Gamma    FALSE #> 9861   617 0.6631049 0.126776116  fv Log-Normal        Cox, Gamma    FALSE #> 9877   618 0.6326642 0.122967228  fv Log-Normal        Cox, Gamma    FALSE #> 9893   619 0.7031687 0.133526200  fv Log-Normal        Cox, Gamma    FALSE #> 9909   620 0.7016931 0.134030260  fv Log-Normal        Cox, Gamma    FALSE #> 9925   621 0.4804179 0.094630231  fv Log-Normal        Cox, Gamma    FALSE #> 9941   622 0.5398830 0.105518836  fv Log-Normal        Cox, Gamma    FALSE #> 9957   623 0.7882768          NA  fv Log-Normal        Cox, Gamma       NA #> 9973   624 0.5199565 0.102594438  fv Log-Normal        Cox, Gamma    FALSE #> 9989   625 0.6821884 0.131007762  fv Log-Normal        Cox, Gamma    FALSE #> 10005  626 0.5553299 0.108156062  fv Log-Normal        Cox, Gamma    FALSE #> 10021  627 0.5171324 0.100946474  fv Log-Normal        Cox, Gamma    FALSE #> 10037  628 0.6021959 0.117996583  fv Log-Normal        Cox, Gamma    FALSE #> 10053  629 0.5988361 0.116317156  fv Log-Normal        Cox, Gamma    FALSE #> 10069  630 0.7275214 0.137648611  fv Log-Normal        Cox, Gamma    FALSE #> 10085  631 0.6014324 0.116267022  fv Log-Normal        Cox, Gamma    FALSE #> 10101  632 0.6539662 0.125735227  fv Log-Normal        Cox, Gamma    FALSE #> 10117  633 0.4515294 0.090140744  fv Log-Normal        Cox, Gamma    FALSE #> 10133  634 0.5366501 0.104960671  fv Log-Normal        Cox, Gamma    FALSE #> 10149  635 0.7992162 0.151686284  fv Log-Normal        Cox, Gamma    FALSE #> 10165  636 0.3679142 0.074745635  fv Log-Normal        Cox, Gamma     TRUE #> 10181  637 0.8172567 0.153430015  fv Log-Normal        Cox, Gamma    FALSE #> 10197  638 0.6188470 0.119900789  fv Log-Normal        Cox, Gamma    FALSE #> 10213  639 0.4075475 0.082636108  fv Log-Normal        Cox, Gamma    FALSE #> 10229  640 0.6079813 0.117311944  fv Log-Normal        Cox, Gamma    FALSE #> 10245  641 0.5327991 0.105035147  fv Log-Normal        Cox, Gamma    FALSE #> 10261  642 0.5597292 0.109129262  fv Log-Normal        Cox, Gamma    FALSE #> 10277  643 0.6139384 0.118367241  fv Log-Normal        Cox, Gamma    FALSE #> 10293  644 0.5866635          NA  fv Log-Normal        Cox, Gamma       NA #> 10309  645 0.7208784 0.137431969  fv Log-Normal        Cox, Gamma    FALSE #> 10325  646 0.6933400 0.131413088  fv Log-Normal        Cox, Gamma    FALSE #> 10341  647 0.5671578 0.109870687  fv Log-Normal        Cox, Gamma    FALSE #> 10357  648 0.9313582 0.172295847  fv Log-Normal        Cox, Gamma     TRUE #> 10373  649 0.5481963 0.107649002  fv Log-Normal        Cox, Gamma    FALSE #> 10389  650 0.7605507 0.143662754  fv Log-Normal        Cox, Gamma    FALSE #> 10405  651 0.6464110 0.123572571  fv Log-Normal        Cox, Gamma    FALSE #> 10421  652 1.0094659          NA  fv Log-Normal        Cox, Gamma     TRUE #> 10437  653 0.4670246 0.092824199  fv Log-Normal        Cox, Gamma    FALSE #> 10453  654 0.5010104 0.099183261  fv Log-Normal        Cox, Gamma    FALSE #> 10469  655 0.6150549          NA  fv Log-Normal        Cox, Gamma       NA #> 10485  656 0.5876953 0.113979268  fv Log-Normal        Cox, Gamma    FALSE #> 10501  657 0.4694330 0.093140718  fv Log-Normal        Cox, Gamma    FALSE #> 10517  658 0.9549667 0.176185188  fv Log-Normal        Cox, Gamma     TRUE #> 10533  659 0.9190884 0.171500306  fv Log-Normal        Cox, Gamma     TRUE #> 10549  660 0.6910145 0.131000152  fv Log-Normal        Cox, Gamma    FALSE #> 10565  661 0.4568377 0.090509242  fv Log-Normal        Cox, Gamma    FALSE #> 10581  662 0.5172112 0.101535270  fv Log-Normal        Cox, Gamma    FALSE #> 10597  663 0.5894338 0.114077847  fv Log-Normal        Cox, Gamma    FALSE #> 10613  664 0.6056533 0.116455334  fv Log-Normal        Cox, Gamma    FALSE #> 10629  665 0.7852957 0.148553995  fv Log-Normal        Cox, Gamma    FALSE #> 10645  666 0.9859896 0.180554439  fv Log-Normal        Cox, Gamma     TRUE #> 10661  667 0.5862766 0.113642712  fv Log-Normal        Cox, Gamma    FALSE #> 10677  668 0.5949446 0.115866220  fv Log-Normal        Cox, Gamma    FALSE #> 10693  669 0.7850263 0.147802853  fv Log-Normal        Cox, Gamma    FALSE #> 10709  670 0.5635746          NA  fv Log-Normal        Cox, Gamma       NA #> 10725  671 0.7259235 0.138202958  fv Log-Normal        Cox, Gamma    FALSE #> 10741  672 0.8718181 0.163010978  fv Log-Normal        Cox, Gamma    FALSE #> 10757  673 0.6408388 0.123876096  fv Log-Normal        Cox, Gamma    FALSE #> 10773  674 0.7466389 0.142055048  fv Log-Normal        Cox, Gamma    FALSE #> 10789  675 0.5421365 0.106966298  fv Log-Normal        Cox, Gamma    FALSE #> 10805  676 0.8391278 0.157251504  fv Log-Normal        Cox, Gamma    FALSE #> 10821  677 0.6225082 0.120465864  fv Log-Normal        Cox, Gamma    FALSE #> 10837  678 0.5245500 0.103447698  fv Log-Normal        Cox, Gamma    FALSE #> 10853  679 0.5851618          NA  fv Log-Normal        Cox, Gamma       NA #> 10869  680 0.6683333 0.127906739  fv Log-Normal        Cox, Gamma    FALSE #> 10885  681 0.8702246 0.162150474  fv Log-Normal        Cox, Gamma    FALSE #> 10901  682 0.5397913 0.104974509  fv Log-Normal        Cox, Gamma    FALSE #> 10917  683 0.7569255 0.145064290  fv Log-Normal        Cox, Gamma    FALSE #> 10933  684 0.9591995 0.177344786  fv Log-Normal        Cox, Gamma     TRUE #> 10949  685 0.5623235 0.109076488  fv Log-Normal        Cox, Gamma    FALSE #> 10965  686 0.8192108 0.153746623  fv Log-Normal        Cox, Gamma    FALSE #> 10981  687 0.5286876 0.103347965  fv Log-Normal        Cox, Gamma    FALSE #> 10997  688 0.5358129 0.105056766  fv Log-Normal        Cox, Gamma    FALSE #> 11013  689 0.5913183 0.115293694  fv Log-Normal        Cox, Gamma    FALSE #> 11029  690 0.7268248 0.137887225  fv Log-Normal        Cox, Gamma    FALSE #> 11045  691 0.7463031 0.145380092  fv Log-Normal        Cox, Gamma    FALSE #> 11061  692 0.5489217 0.106600253  fv Log-Normal        Cox, Gamma    FALSE #> 11077  693 0.4519482 0.090149874  fv Log-Normal        Cox, Gamma    FALSE #> 11093  694 0.6822745 0.130763160  fv Log-Normal        Cox, Gamma    FALSE #> 11109  695 0.5559127 0.108383281  fv Log-Normal        Cox, Gamma    FALSE #> 11125  696 0.6691356 0.127526992  fv Log-Normal        Cox, Gamma    FALSE #> 11141  697 0.8042098 0.152144346  fv Log-Normal        Cox, Gamma    FALSE #> 11157  698 0.4023952 0.081060891  fv Log-Normal        Cox, Gamma    FALSE #> 11173  699 0.6212888 0.120567498  fv Log-Normal        Cox, Gamma    FALSE #> 11189  700 0.4839348 0.095596275  fv Log-Normal        Cox, Gamma    FALSE #> 11205  701 0.7137080 0.135569766  fv Log-Normal        Cox, Gamma    FALSE #> 11221  702 0.7879064 0.150369164  fv Log-Normal        Cox, Gamma    FALSE #> 11237  703 0.6841934 0.131021982  fv Log-Normal        Cox, Gamma    FALSE #> 11253  704 0.5994003 0.116696139  fv Log-Normal        Cox, Gamma    FALSE #> 11269  705 0.5822209 0.112386316  fv Log-Normal        Cox, Gamma    FALSE #> 11285  706 0.6451694 0.123668202  fv Log-Normal        Cox, Gamma    FALSE #> 11301  707 0.7728336 0.144921118  fv Log-Normal        Cox, Gamma    FALSE #> 11317  708 0.7578368 0.142268276  fv Log-Normal        Cox, Gamma    FALSE #> 11333  709 0.7044466 0.137535324  fv Log-Normal        Cox, Gamma    FALSE #> 11349  710 0.4848854 0.096366538  fv Log-Normal        Cox, Gamma    FALSE #> 11365  711 0.6696038 0.131629200  fv Log-Normal        Cox, Gamma    FALSE #> 11381  712 0.6364269          NA  fv Log-Normal        Cox, Gamma       NA #> 11397  713 0.8785677 0.164027544  fv Log-Normal        Cox, Gamma    FALSE #> 11413  714 0.7289698 0.139114880  fv Log-Normal        Cox, Gamma    FALSE #> 11429  715 0.6760923 0.128597343  fv Log-Normal        Cox, Gamma    FALSE #> 11445  716 0.6206559 0.118841559  fv Log-Normal        Cox, Gamma    FALSE #> 11461  717 0.6715545 0.128487711  fv Log-Normal        Cox, Gamma    FALSE #> 11477  718 0.7875216 0.148889321  fv Log-Normal        Cox, Gamma    FALSE #> 11493  719 0.9351608 0.174706425  fv Log-Normal        Cox, Gamma     TRUE #> 11509  720 0.6329848 0.120820543  fv Log-Normal        Cox, Gamma    FALSE #> 11525  721 0.5076976 0.099834680  fv Log-Normal        Cox, Gamma    FALSE #> 11541  722 0.7036759 0.133565138  fv Log-Normal        Cox, Gamma    FALSE #> 11557  723 0.5811768 0.113354759  fv Log-Normal        Cox, Gamma    FALSE #> 11573  724 0.6810073 0.131625143  fv Log-Normal        Cox, Gamma    FALSE #> 11589  725 0.6749253 0.128842134  fv Log-Normal        Cox, Gamma    FALSE #> 11605  726 0.5682980 0.110789939  fv Log-Normal        Cox, Gamma    FALSE #> 11621  727 0.6973867 0.132403499  fv Log-Normal        Cox, Gamma    FALSE #> 11637  728 0.9034403 0.167176467  fv Log-Normal        Cox, Gamma    FALSE #> 11653  729 0.6618256 0.126659612  fv Log-Normal        Cox, Gamma    FALSE #> 11669  730 0.7355975 0.139569325  fv Log-Normal        Cox, Gamma    FALSE #> 11685  731 0.4578597 0.091222814  fv Log-Normal        Cox, Gamma    FALSE #> 11701  732 0.3962879 0.079619289  fv Log-Normal        Cox, Gamma    FALSE #> 11717  733 0.7799217 0.146397355  fv Log-Normal        Cox, Gamma    FALSE #> 11733  734 0.7250782 0.136961355  fv Log-Normal        Cox, Gamma    FALSE #> 11749  735 0.8080674 0.150410061  fv Log-Normal        Cox, Gamma    FALSE #> 11765  736 0.7302051 0.138445599  fv Log-Normal        Cox, Gamma    FALSE #> 11781  737 0.6501185 0.124084760  fv Log-Normal        Cox, Gamma    FALSE #> 11797  738 0.5133997 0.101780781  fv Log-Normal        Cox, Gamma    FALSE #> 11813  739 0.5361525 0.104999322  fv Log-Normal        Cox, Gamma    FALSE #> 11829  740 0.7272712 0.138201013  fv Log-Normal        Cox, Gamma    FALSE #> 11845  741 0.7920042 0.148046562  fv Log-Normal        Cox, Gamma    FALSE #> 11861  742 0.5971878 0.115515589  fv Log-Normal        Cox, Gamma    FALSE #> 11877  743 0.6372487 0.122156878  fv Log-Normal        Cox, Gamma    FALSE #> 11893  744 0.6076604 0.117080863  fv Log-Normal        Cox, Gamma    FALSE #> 11909  745 0.6258474 0.120185601  fv Log-Normal        Cox, Gamma    FALSE #> 11925  746 0.6137741 0.122398199  fv Log-Normal        Cox, Gamma    FALSE #> 11941  747 0.5661390 0.109952145  fv Log-Normal        Cox, Gamma    FALSE #> 11957  748 0.8181814 0.154842528  fv Log-Normal        Cox, Gamma    FALSE #> 11973  749 0.8883396 0.166043136  fv Log-Normal        Cox, Gamma    FALSE #> 11989  750 0.6714251 0.128300301  fv Log-Normal        Cox, Gamma    FALSE #> 12005  751 0.7715463 0.145206839  fv Log-Normal        Cox, Gamma    FALSE #> 12021  752 0.6441060 0.126152659  fv Log-Normal        Cox, Gamma    FALSE #> 12037  753 0.4018435 0.081668489  fv Log-Normal        Cox, Gamma    FALSE #> 12053  754 0.6463386 0.123715910  fv Log-Normal        Cox, Gamma    FALSE #> 12069  755 0.5965575 0.115533717  fv Log-Normal        Cox, Gamma    FALSE #> 12085  756 0.3440358 0.070858933  fv Log-Normal        Cox, Gamma     TRUE #> 12101  757 0.6413942 0.123412706  fv Log-Normal        Cox, Gamma    FALSE #> 12117  758 0.6787276 0.129764259  fv Log-Normal        Cox, Gamma    FALSE #> 12133  759 0.5787070 0.112332541  fv Log-Normal        Cox, Gamma    FALSE #> 12149  760 0.8563906 0.161448535  fv Log-Normal        Cox, Gamma    FALSE #> 12165  761 0.5460240 0.107074937  fv Log-Normal        Cox, Gamma    FALSE #> 12181  762 0.7127921 0.136154341  fv Log-Normal        Cox, Gamma    FALSE #> 12197  763 0.5129074 0.101292545  fv Log-Normal        Cox, Gamma    FALSE #> 12213  764 0.5763837 0.111781244  fv Log-Normal        Cox, Gamma    FALSE #> 12229  765 0.7664589 0.143748738  fv Log-Normal        Cox, Gamma    FALSE #> 12245  766 0.5600605 0.108454352  fv Log-Normal        Cox, Gamma    FALSE #> 12261  767 0.7366908 0.139359440  fv Log-Normal        Cox, Gamma    FALSE #> 12277  768 0.4817040 0.094934157  fv Log-Normal        Cox, Gamma    FALSE #> 12293  769 0.8405919 0.157104432  fv Log-Normal        Cox, Gamma    FALSE #> 12309  770 0.5195843 0.102208060  fv Log-Normal        Cox, Gamma    FALSE #> 12325  771 0.5317918 0.106680566  fv Log-Normal        Cox, Gamma    FALSE #> 12341  772 0.5016173 0.098605760  fv Log-Normal        Cox, Gamma    FALSE #> 12357  773 0.5638723 0.111342842  fv Log-Normal        Cox, Gamma    FALSE #> 12373  774 0.6730202 0.129443064  fv Log-Normal        Cox, Gamma    FALSE #> 12389  775 0.6121184          NA  fv Log-Normal        Cox, Gamma       NA #> 12405  776 0.5603536 0.108454516  fv Log-Normal        Cox, Gamma    FALSE #> 12421  777 0.5635692 0.109901110  fv Log-Normal        Cox, Gamma    FALSE #> 12437  778 0.5287791 0.103608108  fv Log-Normal        Cox, Gamma    FALSE #> 12453  779 0.5459400 0.106667094  fv Log-Normal        Cox, Gamma    FALSE #> 12469  780 0.5454313 0.106487875  fv Log-Normal        Cox, Gamma    FALSE #> 12485  781 0.6435394 0.123723033  fv Log-Normal        Cox, Gamma    FALSE #> 12501  782 0.5440785 0.106183644  fv Log-Normal        Cox, Gamma    FALSE #> 12517  783 0.5646684 0.110072451  fv Log-Normal        Cox, Gamma    FALSE #> 12533  784 0.7140410 0.135997697  fv Log-Normal        Cox, Gamma    FALSE #> 12549  785 0.4320567 0.086209585  fv Log-Normal        Cox, Gamma    FALSE #> 12565  786 0.5871582 0.114417704  fv Log-Normal        Cox, Gamma    FALSE #> 12581  787 0.8307302 0.154887306  fv Log-Normal        Cox, Gamma    FALSE #> 12597  788 0.6235801          NA  fv Log-Normal        Cox, Gamma       NA #> 12613  789 0.7648412 0.144381392  fv Log-Normal        Cox, Gamma    FALSE #> 12629  790 0.6109958 0.117593356  fv Log-Normal        Cox, Gamma    FALSE #> 12645  791 0.3740806 0.075608302  fv Log-Normal        Cox, Gamma     TRUE #> 12661  792 0.5561341 0.110068462  fv Log-Normal        Cox, Gamma    FALSE #> 12677  793 0.7406961 0.139600573  fv Log-Normal        Cox, Gamma    FALSE #> 12693  794 0.6753768 0.133145979  fv Log-Normal        Cox, Gamma    FALSE #> 12709  795 0.5773739 0.112448186  fv Log-Normal        Cox, Gamma    FALSE #> 12725  796 0.5102600 0.100449198  fv Log-Normal        Cox, Gamma    FALSE #> 12741  797 0.5152045 0.100934224  fv Log-Normal        Cox, Gamma    FALSE #> 12757  798 0.4019849 0.081496314  fv Log-Normal        Cox, Gamma    FALSE #> 12773  799 0.6295888 0.120381526  fv Log-Normal        Cox, Gamma    FALSE #> 12789  800 0.6506860 0.125151707  fv Log-Normal        Cox, Gamma    FALSE #> 12805  801 0.9235044 0.172121125  fv Log-Normal        Cox, Gamma     TRUE #> 12821  802 0.6243786 0.119285799  fv Log-Normal        Cox, Gamma    FALSE #> 12837  803 0.6127131 0.118494093  fv Log-Normal        Cox, Gamma    FALSE #> 12853  804 0.6683181 0.127845508  fv Log-Normal        Cox, Gamma    FALSE #> 12869  805 0.8655709 0.164958554  fv Log-Normal        Cox, Gamma    FALSE #> 12885  806 0.8307338 0.158511657  fv Log-Normal        Cox, Gamma    FALSE #> 12901  807 0.6847624 0.007098338  fv Log-Normal        Cox, Gamma     TRUE #> 12917  808 0.4608903 0.091363357  fv Log-Normal        Cox, Gamma    FALSE #> 12933  809 0.5746463 0.111581806  fv Log-Normal        Cox, Gamma    FALSE #> 12949  810 0.6261066 0.120222463  fv Log-Normal        Cox, Gamma    FALSE #> 12965  811 0.4101906 0.082327643  fv Log-Normal        Cox, Gamma    FALSE #> 12981  812 0.6375601 0.122977631  fv Log-Normal        Cox, Gamma    FALSE #> 12997  813 0.7067174 0.133583771  fv Log-Normal        Cox, Gamma    FALSE #> 13013  814 0.6125992 0.118493837  fv Log-Normal        Cox, Gamma    FALSE #> 13029  815 0.5418829 0.107600002  fv Log-Normal        Cox, Gamma    FALSE #> 13045  816 0.5858533          NA  fv Log-Normal        Cox, Gamma       NA #> 13061  817 0.4076984 0.081983169  fv Log-Normal        Cox, Gamma    FALSE #> 13077  818 0.6378915 0.124745913  fv Log-Normal        Cox, Gamma    FALSE #> 13093  819 0.7019073 0.132946154  fv Log-Normal        Cox, Gamma    FALSE #> 13109  820 0.8104918 0.153613082  fv Log-Normal        Cox, Gamma    FALSE #> 13125  821 0.4928717 0.096887270  fv Log-Normal        Cox, Gamma    FALSE #> 13141  822 0.8106514 0.152692972  fv Log-Normal        Cox, Gamma    FALSE #> 13157  823 0.9414082 0.176020573  fv Log-Normal        Cox, Gamma     TRUE #> 13173  824 0.7807771 0.147247985  fv Log-Normal        Cox, Gamma    FALSE #> 13189  825 0.7034024 0.134541272  fv Log-Normal        Cox, Gamma    FALSE #> 13205  826 0.7094238 0.135741788  fv Log-Normal        Cox, Gamma    FALSE #> 13221  827 0.8135921 0.154539346  fv Log-Normal        Cox, Gamma    FALSE #> 13237  828 0.5962366 0.116746571  fv Log-Normal        Cox, Gamma    FALSE #> 13253  829 0.6516192 0.125243568  fv Log-Normal        Cox, Gamma    FALSE #> 13269  830 0.7515323 0.142232279  fv Log-Normal        Cox, Gamma    FALSE #> 13285  831 0.6930557 0.131294024  fv Log-Normal        Cox, Gamma    FALSE #> 13301  832 0.4914554 0.097267429  fv Log-Normal        Cox, Gamma    FALSE #> 13317  833 0.7539417 0.142658069  fv Log-Normal        Cox, Gamma    FALSE #> 13333  834 0.5800657 0.113033660  fv Log-Normal        Cox, Gamma    FALSE #> 13349  835 0.6207208 0.120104030  fv Log-Normal        Cox, Gamma    FALSE #> 13365  836 0.6793893 0.129865727  fv Log-Normal        Cox, Gamma    FALSE #> 13381  837 0.7548904 0.143482390  fv Log-Normal        Cox, Gamma    FALSE #> 13397  838 0.6016750 0.116332111  fv Log-Normal        Cox, Gamma    FALSE #> 13413  839 0.5676191 0.111629149  fv Log-Normal        Cox, Gamma    FALSE #> 13429  840 0.5784233 0.006032357  fv Log-Normal        Cox, Gamma     TRUE #> 13445  841 0.9024294 0.169028872  fv Log-Normal        Cox, Gamma    FALSE #> 13461  842 0.4944220 0.097387303  fv Log-Normal        Cox, Gamma    FALSE #> 13477  843 0.6174343          NA  fv Log-Normal        Cox, Gamma       NA #> 13493  844 0.7765827 0.145469783  fv Log-Normal        Cox, Gamma    FALSE #> 13509  845 0.8061865 0.151157541  fv Log-Normal        Cox, Gamma    FALSE #> 13525  846 0.4946398 0.097713008  fv Log-Normal        Cox, Gamma    FALSE #> 13541  847 0.8872828 0.164244428  fv Log-Normal        Cox, Gamma    FALSE #> 13557  848 0.6722396 0.128137186  fv Log-Normal        Cox, Gamma    FALSE #> 13573  849 0.5499169 0.107476581  fv Log-Normal        Cox, Gamma    FALSE #> 13589  850 0.7639498 0.144795253  fv Log-Normal        Cox, Gamma    FALSE #> 13605  851 0.5845154 0.112833034  fv Log-Normal        Cox, Gamma    FALSE #> 13621  852 0.6056401 0.116696724  fv Log-Normal        Cox, Gamma    FALSE #> 13637  853 0.8570990 0.158665026  fv Log-Normal        Cox, Gamma    FALSE #> 13653  854 0.6183688          NA  fv Log-Normal        Cox, Gamma       NA #> 13669  855 0.5442098 0.106470731  fv Log-Normal        Cox, Gamma    FALSE #> 13685  856 0.7602114 0.143711564  fv Log-Normal        Cox, Gamma    FALSE #> 13701  857 0.7054449 0.134533671  fv Log-Normal        Cox, Gamma    FALSE #> 13717  858 0.8738845 0.162323725  fv Log-Normal        Cox, Gamma    FALSE #> 13733  859 0.8433205 0.158129658  fv Log-Normal        Cox, Gamma    FALSE #> 13749  860 0.6194807 0.120192334  fv Log-Normal        Cox, Gamma    FALSE #> 13765  861 0.4240218 0.085035129  fv Log-Normal        Cox, Gamma    FALSE #> 13781  862 0.5727095 0.111056530  fv Log-Normal        Cox, Gamma    FALSE #> 13797  863 0.5931713 0.114924197  fv Log-Normal        Cox, Gamma    FALSE #> 13813  864 0.7886915 0.148632446  fv Log-Normal        Cox, Gamma    FALSE #> 13829  865 0.8417216 0.157705339  fv Log-Normal        Cox, Gamma    FALSE #> 13845  866 0.7324513 0.140415114  fv Log-Normal        Cox, Gamma    FALSE #> 13861  867 0.5336145 0.105020826  fv Log-Normal        Cox, Gamma    FALSE #> 13877  868 0.8326129 0.157190658  fv Log-Normal        Cox, Gamma    FALSE #> 13893  869 0.4553176 0.090454476  fv Log-Normal        Cox, Gamma    FALSE #> 13909  870 0.7275115 0.139000119  fv Log-Normal        Cox, Gamma    FALSE #> 13925  871 0.4562028 0.090945564  fv Log-Normal        Cox, Gamma    FALSE #> 13941  872 0.4282411 0.086039728  fv Log-Normal        Cox, Gamma    FALSE #> 13957  873 0.7410010 0.139529175  fv Log-Normal        Cox, Gamma    FALSE #> 13973  874 0.6406572 0.123512358  fv Log-Normal        Cox, Gamma    FALSE #> 13989  875 0.5379126 0.104728825  fv Log-Normal        Cox, Gamma    FALSE #> 14005  876 0.5522451 0.108150503  fv Log-Normal        Cox, Gamma    FALSE #> 14021  877 0.5176314 0.102540214  fv Log-Normal        Cox, Gamma    FALSE #> 14037  878 0.6117499 0.118653415  fv Log-Normal        Cox, Gamma    FALSE #> 14053  879 0.6092139 0.117915292  fv Log-Normal        Cox, Gamma    FALSE #> 14069  880 0.7281917 0.137629429  fv Log-Normal        Cox, Gamma    FALSE #> 14085  881 0.4806627 0.094979574  fv Log-Normal        Cox, Gamma    FALSE #> 14101  882 0.6538869 0.126627474  fv Log-Normal        Cox, Gamma    FALSE #> 14117  883 0.5610964 0.109264809  fv Log-Normal        Cox, Gamma    FALSE #> 14133  884 0.4925104 0.097240268  fv Log-Normal        Cox, Gamma    FALSE #> 14149  885 0.6589978 0.126130195  fv Log-Normal        Cox, Gamma    FALSE #> 14165  886 0.5726060 0.111766627  fv Log-Normal        Cox, Gamma    FALSE #> 14181  887 0.3455108 0.071029692  fv Log-Normal        Cox, Gamma     TRUE #> 14197  888 0.5385587 0.104973741  fv Log-Normal        Cox, Gamma    FALSE #> 14213  889 0.6028528 0.116696393  fv Log-Normal        Cox, Gamma    FALSE #> 14229  890 0.6115686 0.117674263  fv Log-Normal        Cox, Gamma    FALSE #> 14245  891 0.6530045 0.124860018  fv Log-Normal        Cox, Gamma    FALSE #> 14261  892 0.9512529 0.177813247  fv Log-Normal        Cox, Gamma     TRUE #> 14277  893 0.4324512 0.086825693  fv Log-Normal        Cox, Gamma    FALSE #> 14293  894 0.5597415 0.110075287  fv Log-Normal        Cox, Gamma    FALSE #> 14309  895 0.7000887 0.134095874  fv Log-Normal        Cox, Gamma    FALSE #> 14325  896 0.4728721 0.093547165  fv Log-Normal        Cox, Gamma    FALSE #> 14341  897 0.5701801 0.110691422  fv Log-Normal        Cox, Gamma    FALSE #> 14357  898 0.6771217 0.129572295  fv Log-Normal        Cox, Gamma    FALSE #> 14373  899 0.7731560 0.148972225  fv Log-Normal        Cox, Gamma    FALSE #> 14389  900 0.6242420 0.120427482  fv Log-Normal        Cox, Gamma    FALSE #> 14405  901 0.6907226 0.131189457  fv Log-Normal        Cox, Gamma    FALSE #> 14421  902 0.7152259 0.135339899  fv Log-Normal        Cox, Gamma    FALSE #> 14437  903 0.5105152 0.100732976  fv Log-Normal        Cox, Gamma    FALSE #> 14453  904 0.5856935 0.113481600  fv Log-Normal        Cox, Gamma    FALSE #> 14469  905 0.5997602          NA  fv Log-Normal        Cox, Gamma       NA #> 14485  906 0.6365419 0.122578578  fv Log-Normal        Cox, Gamma    FALSE #> 14501  907 0.5898802 0.115521684  fv Log-Normal        Cox, Gamma    FALSE #> 14517  908 0.4531988 0.090312108  fv Log-Normal        Cox, Gamma    FALSE #> 14533  909 0.7511674 0.141395630  fv Log-Normal        Cox, Gamma    FALSE #> 14549  910 0.5647211 0.109999123  fv Log-Normal        Cox, Gamma    FALSE #> 14565  911 0.6067530 0.117194452  fv Log-Normal        Cox, Gamma    FALSE #> 14581  912 0.3617871 0.073947377  fv Log-Normal        Cox, Gamma     TRUE #> 14597  913 0.5505871 0.107420031  fv Log-Normal        Cox, Gamma    FALSE #> 14613  914 0.7699292 0.145248215  fv Log-Normal        Cox, Gamma    FALSE #> 14629  915 0.5864275 0.113192932  fv Log-Normal        Cox, Gamma    FALSE #> 14645  916 0.6235821          NA  fv Log-Normal        Cox, Gamma       NA #> 14661  917 0.4809311 0.095930729  fv Log-Normal        Cox, Gamma    FALSE #> 14677  918 0.5527238 0.108983870  fv Log-Normal        Cox, Gamma    FALSE #> 14693  919 0.6191935 0.119875457  fv Log-Normal        Cox, Gamma    FALSE #> 14709  920 0.5966615          NA  fv Log-Normal        Cox, Gamma       NA #> 14725  921 0.9739077 0.178572509  fv Log-Normal        Cox, Gamma     TRUE #> 14741  922 0.5740252 0.111843075  fv Log-Normal        Cox, Gamma    FALSE #> 14757  923 0.8611072 0.160092580  fv Log-Normal        Cox, Gamma    FALSE #> 14773  924 0.6116145 0.118190811  fv Log-Normal        Cox, Gamma    FALSE #> 14789  925 0.6970632 0.133922744  fv Log-Normal        Cox, Gamma    FALSE #> 14805  926 0.7548431 0.141797187  fv Log-Normal        Cox, Gamma    FALSE #> 14821  927 0.7246747 0.137313580  fv Log-Normal        Cox, Gamma    FALSE #> 14837  928 0.6419417          NA  fv Log-Normal        Cox, Gamma       NA #> 14853  929 0.6743449 0.128440051  fv Log-Normal        Cox, Gamma    FALSE #> 14869  930 0.5122725 0.101372331  fv Log-Normal        Cox, Gamma    FALSE #> 14885  931 0.7130454 0.135971450  fv Log-Normal        Cox, Gamma    FALSE #> 14901  932 0.5066433 0.100500273  fv Log-Normal        Cox, Gamma    FALSE #> 14917  933 0.4945458 0.097082695  fv Log-Normal        Cox, Gamma    FALSE #> 14933  934 0.6492706          NA  fv Log-Normal        Cox, Gamma       NA #> 14949  935 0.7595802 0.142781942  fv Log-Normal        Cox, Gamma    FALSE #> 14965  936 0.6649180 0.127703570  fv Log-Normal        Cox, Gamma    FALSE #> 14981  937 0.6533127 0.124319736  fv Log-Normal        Cox, Gamma    FALSE #> 14997  938 0.6926645 0.131356315  fv Log-Normal        Cox, Gamma    FALSE #> 15013  939 0.5077710 0.099590277  fv Log-Normal        Cox, Gamma    FALSE #> 15029  940 0.6933669 0.133191128  fv Log-Normal        Cox, Gamma    FALSE #> 15045  941 0.4268047 0.085815756  fv Log-Normal        Cox, Gamma    FALSE #> 15061  942 0.7084437 0.133839212  fv Log-Normal        Cox, Gamma    FALSE #> 15077  943 0.4584328 0.090854771  fv Log-Normal        Cox, Gamma    FALSE #> 15093  944 0.5666850 0.110036299  fv Log-Normal        Cox, Gamma    FALSE #> 15109  945 0.9440737 0.175421907  fv Log-Normal        Cox, Gamma     TRUE #> 15125  946 0.7158152 0.136016918  fv Log-Normal        Cox, Gamma    FALSE #> 15141  947 0.7167894 0.135529442  fv Log-Normal        Cox, Gamma    FALSE #> 15157  948 0.4493495 0.091216146  fv Log-Normal        Cox, Gamma    FALSE #> 15173  949 0.5803668 0.112156181  fv Log-Normal        Cox, Gamma    FALSE #> 15189  950 0.6935612 0.132417693  fv Log-Normal        Cox, Gamma    FALSE #> 15205  951 0.4651010 0.092037357  fv Log-Normal        Cox, Gamma    FALSE #> 15221  952 0.5304067 0.103569265  fv Log-Normal        Cox, Gamma    FALSE #> 15237  953 0.5574506          NA  fv Log-Normal        Cox, Gamma       NA #> 15253  954 0.7829632 0.149765497  fv Log-Normal        Cox, Gamma    FALSE #> 15269  955 0.6315200 0.121635710  fv Log-Normal        Cox, Gamma    FALSE #> 15285  956 0.7256935 0.136559638  fv Log-Normal        Cox, Gamma    FALSE #> 15301  957 0.5255019 0.102668152  fv Log-Normal        Cox, Gamma    FALSE #> 15317  958 0.5515319 0.108203497  fv Log-Normal        Cox, Gamma    FALSE #> 15333  959 0.6365335 0.006618674  fv Log-Normal        Cox, Gamma     TRUE #> 15349  960 0.4975672 0.097788653  fv Log-Normal        Cox, Gamma    FALSE #> 15365  961 0.7256961 0.136960775  fv Log-Normal        Cox, Gamma    FALSE #> 15381  962 0.6723918 0.128074823  fv Log-Normal        Cox, Gamma    FALSE #> 15397  963 0.8582505 0.161076038  fv Log-Normal        Cox, Gamma    FALSE #> 15413  964 0.6765533 0.131222054  fv Log-Normal        Cox, Gamma    FALSE #> 15429  965 0.4969462 0.098034066  fv Log-Normal        Cox, Gamma    FALSE #> 15445  966 0.8281505 0.153884185  fv Log-Normal        Cox, Gamma    FALSE #> 15461  967 0.8024846 0.151662537  fv Log-Normal        Cox, Gamma    FALSE #> 15477  968 0.7562529 0.144638541  fv Log-Normal        Cox, Gamma    FALSE #> 15493  969 0.9270354 0.171035756  fv Log-Normal        Cox, Gamma     TRUE #> 15509  970 0.7075527 0.135390065  fv Log-Normal        Cox, Gamma    FALSE #> 15525  971 0.7638483 0.143021387  fv Log-Normal        Cox, Gamma    FALSE #> 15541  972 0.5393256 0.105657239  fv Log-Normal        Cox, Gamma    FALSE #> 15557  973 0.7927163 0.148657584  fv Log-Normal        Cox, Gamma    FALSE #> 15573  974 0.8194812 0.153583984  fv Log-Normal        Cox, Gamma    FALSE #> 15589  975 0.8901438 0.164621225  fv Log-Normal        Cox, Gamma    FALSE #> 15605  976 0.7033173 0.135752844  fv Log-Normal        Cox, Gamma    FALSE #> 15621  977 0.9184243 0.169985183  fv Log-Normal        Cox, Gamma     TRUE #> 15637  978 0.7000262 0.133687476  fv Log-Normal        Cox, Gamma    FALSE #> 15653  979 0.5554882 0.108354847  fv Log-Normal        Cox, Gamma    FALSE #> 15669  980 0.6736097 0.129146495  fv Log-Normal        Cox, Gamma    FALSE #> 15685  981 0.5661670 0.109523726  fv Log-Normal        Cox, Gamma    FALSE #> 15701  982 0.5354088 0.104414629  fv Log-Normal        Cox, Gamma    FALSE #> 15717  983 0.6487939 0.124135434  fv Log-Normal        Cox, Gamma    FALSE #> 15733  984 0.6188661 0.120173122  fv Log-Normal        Cox, Gamma    FALSE #> 15749  985 0.7714019 0.145426296  fv Log-Normal        Cox, Gamma    FALSE #> 15765  986 0.6954945 0.133563065  fv Log-Normal        Cox, Gamma    FALSE #> 15781  987 0.6624646 0.129133922  fv Log-Normal        Cox, Gamma    FALSE #> 15797  988 0.7075265 0.133801077  fv Log-Normal        Cox, Gamma    FALSE #> 15813  989 0.7489396 0.140608370  fv Log-Normal        Cox, Gamma    FALSE #> 15829  990 0.6790675 0.130260397  fv Log-Normal        Cox, Gamma    FALSE #> 15845  991 0.7490903 0.141714729  fv Log-Normal        Cox, Gamma    FALSE #> 15861  992 0.6467935 0.124231773  fv Log-Normal        Cox, Gamma    FALSE #> 15877  993 0.6374168 0.121764982  fv Log-Normal        Cox, Gamma    FALSE #> 15893  994 0.6287016 0.122781015  fv Log-Normal        Cox, Gamma    FALSE #> 15909  995 0.5297770 0.103847152  fv Log-Normal        Cox, Gamma    FALSE #> 15925  996 0.6734033 0.130429589  fv Log-Normal        Cox, Gamma    FALSE #> 15941  997 0.5717180 0.110420307  fv Log-Normal        Cox, Gamma    FALSE #> 15957  998 0.5513744 0.107819150  fv Log-Normal        Cox, Gamma    FALSE #> 15973  999 0.6754048 0.129106649  fv Log-Normal        Cox, Gamma    FALSE #> 15989 1000 0.5817786 0.112687286  fv Log-Normal        Cox, Gamma    FALSE #> 6        1 0.7573628 0.123506225  fv Log-Normal   Cox, Log-Normal    FALSE #> 22       2 0.6405703 0.151148609  fv Log-Normal   Cox, Log-Normal    FALSE #> 38       3 0.8261367 0.185927234  fv Log-Normal   Cox, Log-Normal    FALSE #> 54       4 0.6143026 0.132920004  fv Log-Normal   Cox, Log-Normal    FALSE #> 70       5 1.0036278 0.198158194  fv Log-Normal   Cox, Log-Normal    FALSE #> 86       6 0.8832715 0.168543121  fv Log-Normal   Cox, Log-Normal    FALSE #> 102      7 0.5928196 0.100287978  fv Log-Normal   Cox, Log-Normal    FALSE #> 118      8 0.8252806 0.180131613  fv Log-Normal   Cox, Log-Normal    FALSE #> 134      9 0.7244461 0.143635393  fv Log-Normal   Cox, Log-Normal    FALSE #> 150     10 1.0102669 0.202207973  fv Log-Normal   Cox, Log-Normal    FALSE #> 166     11 0.9143155 0.184227624  fv Log-Normal   Cox, Log-Normal    FALSE #> 182     12 0.5534246 0.104169695  fv Log-Normal   Cox, Log-Normal    FALSE #> 198     13 0.8283860 0.166449749  fv Log-Normal   Cox, Log-Normal    FALSE #> 214     14 0.8115641 0.147107977  fv Log-Normal   Cox, Log-Normal    FALSE #> 230     15 0.7390334 0.149549271  fv Log-Normal   Cox, Log-Normal    FALSE #> 246     16 0.5808222 0.137956200  fv Log-Normal   Cox, Log-Normal    FALSE #> 262     17 0.6452196 0.146194236  fv Log-Normal   Cox, Log-Normal    FALSE #> 278     18 0.8714554 0.169853265  fv Log-Normal   Cox, Log-Normal    FALSE #> 294     19 0.9410003 0.159312483  fv Log-Normal   Cox, Log-Normal    FALSE #> 310     20 0.6101011 0.120280145  fv Log-Normal   Cox, Log-Normal    FALSE #> 326     21 0.7051458 0.143022121  fv Log-Normal   Cox, Log-Normal    FALSE #> 342     22 0.5999060 0.090970833  fv Log-Normal   Cox, Log-Normal    FALSE #> 358     23 0.8708236 0.203636912  fv Log-Normal   Cox, Log-Normal    FALSE #> 374     24 0.8089626 0.168542382  fv Log-Normal   Cox, Log-Normal    FALSE #> 390     25 0.6228305 0.119304963  fv Log-Normal   Cox, Log-Normal    FALSE #> 406     26 0.7537106 0.142965921  fv Log-Normal   Cox, Log-Normal    FALSE #> 422     27 0.5366948 0.165486396  fv Log-Normal   Cox, Log-Normal    FALSE #> 438     28 0.7237506 0.149495788  fv Log-Normal   Cox, Log-Normal    FALSE #> 454     29 1.0748691 0.171233165  fv Log-Normal   Cox, Log-Normal     TRUE #> 470     30 0.7213200 0.196299621  fv Log-Normal   Cox, Log-Normal    FALSE #> 486     31 0.5593267 0.126828054  fv Log-Normal   Cox, Log-Normal    FALSE #> 502     32 0.5324768 0.090967716  fv Log-Normal   Cox, Log-Normal    FALSE #> 518     33 0.7693620 0.147380984  fv Log-Normal   Cox, Log-Normal    FALSE #> 534     34 0.9152415 0.206375212  fv Log-Normal   Cox, Log-Normal    FALSE #> 550     35 0.5246976 0.132009450  fv Log-Normal   Cox, Log-Normal    FALSE #> 566     36 0.5188294 0.102537117  fv Log-Normal   Cox, Log-Normal    FALSE #> 582     37 0.7011186 0.157272513  fv Log-Normal   Cox, Log-Normal    FALSE #> 598     38 0.6353909 0.145388120  fv Log-Normal   Cox, Log-Normal    FALSE #> 614     39 0.8001182 0.162578217  fv Log-Normal   Cox, Log-Normal    FALSE #> 630     40 0.5711178 0.160784364  fv Log-Normal   Cox, Log-Normal    FALSE #> 646     41 0.8319567 0.168130783  fv Log-Normal   Cox, Log-Normal    FALSE #> 662     42 0.5614636 0.119677372  fv Log-Normal   Cox, Log-Normal    FALSE #> 678     43 0.5634340 0.106012887  fv Log-Normal   Cox, Log-Normal    FALSE #> 694     44 0.7924587 0.144458133  fv Log-Normal   Cox, Log-Normal    FALSE #> 710     45 0.6313241 0.120340182  fv Log-Normal   Cox, Log-Normal    FALSE #> 726     46 0.3400322 0.055945672  fv Log-Normal   Cox, Log-Normal     TRUE #> 742     47 0.9526428 0.199570335  fv Log-Normal   Cox, Log-Normal    FALSE #> 758     48 0.8841695 0.209442515  fv Log-Normal   Cox, Log-Normal    FALSE #> 774     49 0.9679034 0.166504814  fv Log-Normal   Cox, Log-Normal    FALSE #> 790     50 0.6036607 0.119569376  fv Log-Normal   Cox, Log-Normal    FALSE #> 806     51 0.8862827 0.155150877  fv Log-Normal   Cox, Log-Normal    FALSE #> 822     52 0.5297618 0.099447197  fv Log-Normal   Cox, Log-Normal    FALSE #> 838     53 0.9292767 0.157610779  fv Log-Normal   Cox, Log-Normal    FALSE #> 854     54 0.7239010 0.141347724  fv Log-Normal   Cox, Log-Normal    FALSE #> 870     55 0.9331984 0.171379276  fv Log-Normal   Cox, Log-Normal    FALSE #> 886     56 0.7706847 0.175186290  fv Log-Normal   Cox, Log-Normal    FALSE #> 902     57 0.9189265 0.207804687  fv Log-Normal   Cox, Log-Normal    FALSE #> 918     58 0.7658154 0.166165565  fv Log-Normal   Cox, Log-Normal    FALSE #> 934     59 0.7182062 0.124324102  fv Log-Normal   Cox, Log-Normal    FALSE #> 950     60 1.0041047 0.255917467  fv Log-Normal   Cox, Log-Normal     TRUE #> 966     61 0.7553592 0.164985154  fv Log-Normal   Cox, Log-Normal    FALSE #> 982     62 0.6225567 0.137396308  fv Log-Normal   Cox, Log-Normal    FALSE #> 998     63 0.8218612 0.151697592  fv Log-Normal   Cox, Log-Normal    FALSE #> 1014    64 0.7358860 0.131559640  fv Log-Normal   Cox, Log-Normal    FALSE #> 1030    65 0.9223297 0.240231970  fv Log-Normal   Cox, Log-Normal     TRUE #> 1046    66 0.6545818 0.131376390  fv Log-Normal   Cox, Log-Normal    FALSE #> 1062    67 0.6277202 0.131711521  fv Log-Normal   Cox, Log-Normal    FALSE #> 1078    68 0.5256708 0.115778396  fv Log-Normal   Cox, Log-Normal    FALSE #> 1094    69 0.8150341 0.153682813  fv Log-Normal   Cox, Log-Normal    FALSE #> 1110    70 0.7740717 0.131663013  fv Log-Normal   Cox, Log-Normal    FALSE #> 1126    71 1.0082462 0.227978478  fv Log-Normal   Cox, Log-Normal     TRUE #> 1142    72 0.6084139 0.122907751  fv Log-Normal   Cox, Log-Normal    FALSE #> 1158    73 0.7363271 0.136694735  fv Log-Normal   Cox, Log-Normal    FALSE #> 1174    74 0.4269599 0.099018016  fv Log-Normal   Cox, Log-Normal    FALSE #> 1190    75 0.7249021 0.145933489  fv Log-Normal   Cox, Log-Normal    FALSE #> 1206    76 0.6560751 0.124898132  fv Log-Normal   Cox, Log-Normal    FALSE #> 1222    77 0.8511698 0.197171406  fv Log-Normal   Cox, Log-Normal    FALSE #> 1238    78 0.7871053 0.166915910  fv Log-Normal   Cox, Log-Normal    FALSE #> 1254    79 1.0822921 0.209965236  fv Log-Normal   Cox, Log-Normal     TRUE #> 1270    80 0.5922208 0.101102935  fv Log-Normal   Cox, Log-Normal    FALSE #> 1286    81 1.0111710 0.155662408  fv Log-Normal   Cox, Log-Normal    FALSE #> 1302    82 0.6914727 0.112813615  fv Log-Normal   Cox, Log-Normal    FALSE #> 1318    83 0.8092839 0.153960210  fv Log-Normal   Cox, Log-Normal    FALSE #> 1334    84 0.6559520 0.132512452  fv Log-Normal   Cox, Log-Normal    FALSE #> 1350    85 0.6577962 0.171457580  fv Log-Normal   Cox, Log-Normal    FALSE #> 1366    86 0.5651294 0.146528647  fv Log-Normal   Cox, Log-Normal    FALSE #> 1382    87 0.7661226 0.160460673  fv Log-Normal   Cox, Log-Normal    FALSE #> 1398    88 0.7721346 0.178271337  fv Log-Normal   Cox, Log-Normal    FALSE #> 1414    89 1.0368109 0.213632342  fv Log-Normal   Cox, Log-Normal    FALSE #> 1430    90 0.8168601 0.156924329  fv Log-Normal   Cox, Log-Normal    FALSE #> 1446    91 0.9053362 0.158323513  fv Log-Normal   Cox, Log-Normal    FALSE #> 1462    92 0.8835783 0.208147013  fv Log-Normal   Cox, Log-Normal    FALSE #> 1478    93 0.6132071 0.113008294  fv Log-Normal   Cox, Log-Normal    FALSE #> 1494    94 0.8483006 0.176707967  fv Log-Normal   Cox, Log-Normal    FALSE #> 1510    95 0.6763772 0.139840226  fv Log-Normal   Cox, Log-Normal    FALSE #> 1526    96 0.5777829 0.104392446  fv Log-Normal   Cox, Log-Normal    FALSE #> 1542    97 0.8161674 0.168581778  fv Log-Normal   Cox, Log-Normal    FALSE #> 1558    98 0.4622867 0.077274220  fv Log-Normal   Cox, Log-Normal    FALSE #> 1574    99 0.9279581 0.217300732  fv Log-Normal   Cox, Log-Normal    FALSE #> 1590   100 0.6855048 0.169304914  fv Log-Normal   Cox, Log-Normal    FALSE #> 1606   101 0.6455828 0.111943749  fv Log-Normal   Cox, Log-Normal    FALSE #> 1622   102 0.4964866 0.090284117  fv Log-Normal   Cox, Log-Normal    FALSE #> 1638   103 0.7884297 0.140191610  fv Log-Normal   Cox, Log-Normal    FALSE #> 1654   104 0.7372374 0.160504976  fv Log-Normal   Cox, Log-Normal    FALSE #> 1670   105 0.4689447 0.130167559  fv Log-Normal   Cox, Log-Normal    FALSE #> 1686   106 0.6774750 0.142381935  fv Log-Normal   Cox, Log-Normal    FALSE #> 1702   107 0.8642295 0.176000808  fv Log-Normal   Cox, Log-Normal    FALSE #> 1718   108 0.7159932 0.164105206  fv Log-Normal   Cox, Log-Normal    FALSE #> 1734   109 0.9263322 0.205073657  fv Log-Normal   Cox, Log-Normal    FALSE #> 1750   110 0.9255388 0.203254399  fv Log-Normal   Cox, Log-Normal    FALSE #> 1766   111 0.6391791 0.151025676  fv Log-Normal   Cox, Log-Normal    FALSE #> 1782   112 0.7006322 0.121622711  fv Log-Normal   Cox, Log-Normal    FALSE #> 1798   113 0.8573833 0.120517037  fv Log-Normal   Cox, Log-Normal    FALSE #> 1814   114 0.6713922 0.143109099  fv Log-Normal   Cox, Log-Normal    FALSE #> 1830   115 0.7800116 0.158241038  fv Log-Normal   Cox, Log-Normal    FALSE #> 1846   116 0.7935211 0.143635068  fv Log-Normal   Cox, Log-Normal    FALSE #> 1862   117 0.8402853 0.144118761  fv Log-Normal   Cox, Log-Normal    FALSE #> 1878   118 0.6211441 0.115222597  fv Log-Normal   Cox, Log-Normal    FALSE #> 1894   119 0.5731702 0.104678548  fv Log-Normal   Cox, Log-Normal    FALSE #> 1910   120 0.8207332 0.162722934  fv Log-Normal   Cox, Log-Normal    FALSE #> 1926   121 0.7191754 0.144618775  fv Log-Normal   Cox, Log-Normal    FALSE #> 1942   122 0.5527592 0.153698623  fv Log-Normal   Cox, Log-Normal    FALSE #> 1958   123 0.5289509 0.095546347  fv Log-Normal   Cox, Log-Normal    FALSE #> 1974   124 0.5600358 0.120518423  fv Log-Normal   Cox, Log-Normal    FALSE #> 1990   125 0.5451336 0.088492549  fv Log-Normal   Cox, Log-Normal    FALSE #> 2006   126 1.2150397 0.221438937  fv Log-Normal   Cox, Log-Normal     TRUE #> 2022   127 0.5215282 0.106426631  fv Log-Normal   Cox, Log-Normal    FALSE #> 2038   128 0.5208087 0.101330616  fv Log-Normal   Cox, Log-Normal    FALSE #> 2054   129 0.7158500 0.146716475  fv Log-Normal   Cox, Log-Normal    FALSE #> 2070   130 0.5736312 0.140201893  fv Log-Normal   Cox, Log-Normal    FALSE #> 2086   131 0.6678274 0.113502192  fv Log-Normal   Cox, Log-Normal    FALSE #> 2102   132 0.7954489 0.169093243  fv Log-Normal   Cox, Log-Normal    FALSE #> 2118   133 0.9256333 0.173618373  fv Log-Normal   Cox, Log-Normal    FALSE #> 2134   134 1.0816300 0.168628629  fv Log-Normal   Cox, Log-Normal     TRUE #> 2150   135 0.6646850 0.165230055  fv Log-Normal   Cox, Log-Normal    FALSE #> 2166   136 0.5493449 0.148696582  fv Log-Normal   Cox, Log-Normal    FALSE #> 2182   137 0.5273812 0.117786553  fv Log-Normal   Cox, Log-Normal    FALSE #> 2198   138 0.5253386 0.088599027  fv Log-Normal   Cox, Log-Normal    FALSE #> 2214   139 0.7508027 0.135122381  fv Log-Normal   Cox, Log-Normal    FALSE #> 2230   140 0.8098031 0.141963269  fv Log-Normal   Cox, Log-Normal    FALSE #> 2246   141 0.4369386 0.083891814  fv Log-Normal   Cox, Log-Normal    FALSE #> 2262   142 0.4940935 0.087599059  fv Log-Normal   Cox, Log-Normal    FALSE #> 2278   143 0.5792783 0.101315528  fv Log-Normal   Cox, Log-Normal    FALSE #> 2294   144 0.6762864 0.155722587  fv Log-Normal   Cox, Log-Normal    FALSE #> 2310   145 0.5822286 0.120935529  fv Log-Normal   Cox, Log-Normal    FALSE #> 2326   146 0.7312281 0.136443900  fv Log-Normal   Cox, Log-Normal    FALSE #> 2342   147 0.6361521 0.169644112  fv Log-Normal   Cox, Log-Normal    FALSE #> 2358   148 0.5484598 0.111863218  fv Log-Normal   Cox, Log-Normal    FALSE #> 2374   149 0.4096536 0.100250733  fv Log-Normal   Cox, Log-Normal     TRUE #> 2390   150 0.5619967 0.105650453  fv Log-Normal   Cox, Log-Normal    FALSE #> 2406   151 0.9789970 0.195216476  fv Log-Normal   Cox, Log-Normal    FALSE #> 2422   152 0.7259292 0.151900672  fv Log-Normal   Cox, Log-Normal    FALSE #> 2438   153 0.7965834 0.152245452  fv Log-Normal   Cox, Log-Normal    FALSE #> 2454   154 0.7530393 0.132140632  fv Log-Normal   Cox, Log-Normal    FALSE #> 2470   155 1.0025250 0.232384531  fv Log-Normal   Cox, Log-Normal     TRUE #> 2486   156 0.6533424 0.120684343  fv Log-Normal   Cox, Log-Normal    FALSE #> 2502   157 0.6428468 0.167081803  fv Log-Normal   Cox, Log-Normal    FALSE #> 2518   158 0.6380194 0.127185912  fv Log-Normal   Cox, Log-Normal    FALSE #> 2534   159 0.8212363 0.203723673  fv Log-Normal   Cox, Log-Normal    FALSE #> 2550   160 0.8091504 0.165469968  fv Log-Normal   Cox, Log-Normal    FALSE #> 2566   161 0.9019637 0.169031267  fv Log-Normal   Cox, Log-Normal    FALSE #> 2582   162 1.0323230 0.200155147  fv Log-Normal   Cox, Log-Normal    FALSE #> 2598   163 0.6359122 0.120933159  fv Log-Normal   Cox, Log-Normal    FALSE #> 2614   164 0.6830636 0.149902066  fv Log-Normal   Cox, Log-Normal    FALSE #> 2630   165 0.5514472 0.106974805  fv Log-Normal   Cox, Log-Normal    FALSE #> 2646   166 0.4478951 0.089446434  fv Log-Normal   Cox, Log-Normal    FALSE #> 2662   167 0.7607050 0.130475089  fv Log-Normal   Cox, Log-Normal    FALSE #> 2678   168 0.8939775 0.171724578  fv Log-Normal   Cox, Log-Normal    FALSE #> 2694   169 0.6535068 0.134031000  fv Log-Normal   Cox, Log-Normal    FALSE #> 2710   170 0.7646505 0.136587486  fv Log-Normal   Cox, Log-Normal    FALSE #> 2726   171 0.8427968 0.138307896  fv Log-Normal   Cox, Log-Normal    FALSE #> 2742   172 0.7751922 0.140039170  fv Log-Normal   Cox, Log-Normal    FALSE #> 2758   173 0.7330887 0.134029421  fv Log-Normal   Cox, Log-Normal    FALSE #> 2774   174 0.6091521 0.106460561  fv Log-Normal   Cox, Log-Normal    FALSE #> 2790   175 0.8038532 0.153669430  fv Log-Normal   Cox, Log-Normal    FALSE #> 2806   176 1.0095644 0.198360609  fv Log-Normal   Cox, Log-Normal    FALSE #> 2822   177 0.8252955 0.152377027  fv Log-Normal   Cox, Log-Normal    FALSE #> 2838   178 0.5408288 0.097128672  fv Log-Normal   Cox, Log-Normal    FALSE #> 2854   179 0.9621040 0.157483433  fv Log-Normal   Cox, Log-Normal    FALSE #> 2870   180 0.5787665 0.115056496  fv Log-Normal   Cox, Log-Normal    FALSE #> 2886   181 0.7536706 0.134534082  fv Log-Normal   Cox, Log-Normal    FALSE #> 2902   182 1.2239585 0.231054881  fv Log-Normal   Cox, Log-Normal     TRUE #> 2918   183 0.7538198 0.198686043  fv Log-Normal   Cox, Log-Normal    FALSE #> 2934   184 0.9676200 0.162661310  fv Log-Normal   Cox, Log-Normal    FALSE #> 2950   185 0.8095095 0.154239320  fv Log-Normal   Cox, Log-Normal    FALSE #> 2966   186 0.7963401 0.151409478  fv Log-Normal   Cox, Log-Normal    FALSE #> 2982   187 0.6878139 0.128133229  fv Log-Normal   Cox, Log-Normal    FALSE #> 2998   188 0.8316980 0.199665691  fv Log-Normal   Cox, Log-Normal    FALSE #> 3014   189 0.6992176 0.115061086  fv Log-Normal   Cox, Log-Normal    FALSE #> 3030   190 0.8038076 0.144511600  fv Log-Normal   Cox, Log-Normal    FALSE #> 3046   191 0.7962095 0.180472090  fv Log-Normal   Cox, Log-Normal    FALSE #> 3062   192 0.6544469 0.152934636  fv Log-Normal   Cox, Log-Normal    FALSE #> 3078   193 0.7893740 0.183862164  fv Log-Normal   Cox, Log-Normal    FALSE #> 3094   194 0.9888659 0.175645880  fv Log-Normal   Cox, Log-Normal    FALSE #> 3110   195 0.5870695 0.128305897  fv Log-Normal   Cox, Log-Normal    FALSE #> 3126   196 0.6371292 0.130232476  fv Log-Normal   Cox, Log-Normal    FALSE #> 3142   197 0.6610005 0.111740926  fv Log-Normal   Cox, Log-Normal    FALSE #> 3158   198 0.7978277 0.140662110  fv Log-Normal   Cox, Log-Normal    FALSE #> 3174   199 0.5343989 0.094741806  fv Log-Normal   Cox, Log-Normal    FALSE #> 3190   200 0.6102206 0.130221390  fv Log-Normal   Cox, Log-Normal    FALSE #> 3206   201 0.8895148 0.164670932  fv Log-Normal   Cox, Log-Normal    FALSE #> 3222   202 0.7229980 0.120155652  fv Log-Normal   Cox, Log-Normal    FALSE #> 3238   203 0.6368252 0.115279152  fv Log-Normal   Cox, Log-Normal    FALSE #> 3254   204 0.6809315 0.138454115  fv Log-Normal   Cox, Log-Normal    FALSE #> 3270   205 0.6617769 0.130662589  fv Log-Normal   Cox, Log-Normal    FALSE #> 3286   206 0.7916678 0.146803021  fv Log-Normal   Cox, Log-Normal    FALSE #> 3302   207 0.8047997 0.205254562  fv Log-Normal   Cox, Log-Normal    FALSE #> 3318   208 1.0690480 0.176315972  fv Log-Normal   Cox, Log-Normal     TRUE #> 3334   209 0.6734025 0.157675845  fv Log-Normal   Cox, Log-Normal    FALSE #> 3350   210 0.7235119 0.168335407  fv Log-Normal   Cox, Log-Normal    FALSE #> 3366   211 0.8209679 0.150541551  fv Log-Normal   Cox, Log-Normal    FALSE #> 3382   212 0.8093963 0.164234906  fv Log-Normal   Cox, Log-Normal    FALSE #> 3398   213 0.6197138 0.117369296  fv Log-Normal   Cox, Log-Normal    FALSE #> 3414   214 0.6649361 0.120661018  fv Log-Normal   Cox, Log-Normal    FALSE #> 3430   215 0.6650857 0.179625366  fv Log-Normal   Cox, Log-Normal    FALSE #> 3446   216 0.9689108 0.174717968  fv Log-Normal   Cox, Log-Normal    FALSE #> 3462   217 0.7612506 0.147631973  fv Log-Normal   Cox, Log-Normal    FALSE #> 3478   218 0.5926323 0.153430759  fv Log-Normal   Cox, Log-Normal    FALSE #> 3494   219 0.8441365 0.191720259  fv Log-Normal   Cox, Log-Normal    FALSE #> 3510   220 0.9102425 0.169208023  fv Log-Normal   Cox, Log-Normal    FALSE #> 3526   221 0.6440419 0.169991151  fv Log-Normal   Cox, Log-Normal    FALSE #> 3542   222 0.3699244 0.073773612  fv Log-Normal   Cox, Log-Normal     TRUE #> 3558   223 0.5477821 0.112031749  fv Log-Normal   Cox, Log-Normal    FALSE #> 3574   224 0.5942285 0.107253851  fv Log-Normal   Cox, Log-Normal    FALSE #> 3590   225 0.8208106 0.157270676  fv Log-Normal   Cox, Log-Normal    FALSE #> 3606   226 1.0721837 0.179757807  fv Log-Normal   Cox, Log-Normal     TRUE #> 3622   227 0.7651791 0.135412199  fv Log-Normal   Cox, Log-Normal    FALSE #> 3638   228 0.8680490 0.143223630  fv Log-Normal   Cox, Log-Normal    FALSE #> 3654   229 0.4073158 0.083161888  fv Log-Normal   Cox, Log-Normal     TRUE #> 3670   230 0.6139439 0.120049198  fv Log-Normal   Cox, Log-Normal    FALSE #> 3686   231 0.6567719 0.124099366  fv Log-Normal   Cox, Log-Normal    FALSE #> 3702   232 0.9446119 0.189529640  fv Log-Normal   Cox, Log-Normal    FALSE #> 3718   233 0.9526530 0.209694354  fv Log-Normal   Cox, Log-Normal    FALSE #> 3734   234 0.9358169 0.188575345  fv Log-Normal   Cox, Log-Normal    FALSE #> 3750   235 0.5533697 0.097841887  fv Log-Normal   Cox, Log-Normal    FALSE #> 3766   236 0.6345935 0.120180217  fv Log-Normal   Cox, Log-Normal    FALSE #> 3782   237 0.5440302 0.109896985  fv Log-Normal   Cox, Log-Normal    FALSE #> 3798   238 0.8898235 0.229632108  fv Log-Normal   Cox, Log-Normal     TRUE #> 3814   239 0.9262859 0.200846435  fv Log-Normal   Cox, Log-Normal    FALSE #> 3830   240 0.6338872 0.129524301  fv Log-Normal   Cox, Log-Normal    FALSE #> 3846   241 0.7667705 0.153378360  fv Log-Normal   Cox, Log-Normal    FALSE #> 3862   242 0.5466475 0.100527491  fv Log-Normal   Cox, Log-Normal    FALSE #> 3878   243 0.6728653 0.123466796  fv Log-Normal   Cox, Log-Normal    FALSE #> 3894   244 0.6107308 0.139143285  fv Log-Normal   Cox, Log-Normal    FALSE #> 3910   245 0.4997340 0.111627420  fv Log-Normal   Cox, Log-Normal    FALSE #> 3926   246 0.7877534 0.194794439  fv Log-Normal   Cox, Log-Normal    FALSE #> 3942   247 0.6585011 0.152234917  fv Log-Normal   Cox, Log-Normal    FALSE #> 3958   248 1.1751511 0.286449350  fv Log-Normal   Cox, Log-Normal     TRUE #> 3974   249 0.5939856 0.117058074  fv Log-Normal   Cox, Log-Normal    FALSE #> 3990   250 0.7479317 0.166505164  fv Log-Normal   Cox, Log-Normal    FALSE #> 4006   251 0.6258817 0.112068474  fv Log-Normal   Cox, Log-Normal    FALSE #> 4022   252 0.4768019 0.119359450  fv Log-Normal   Cox, Log-Normal    FALSE #> 4038   253 0.8642953 0.190101155  fv Log-Normal   Cox, Log-Normal    FALSE #> 4054   254 0.7457473 0.159020740  fv Log-Normal   Cox, Log-Normal    FALSE #> 4070   255 0.9277065 0.230633805  fv Log-Normal   Cox, Log-Normal     TRUE #> 4086   256 0.8557776 0.195869085  fv Log-Normal   Cox, Log-Normal    FALSE #> 4102   257 0.8342419 0.124293996  fv Log-Normal   Cox, Log-Normal    FALSE #> 4118   258 0.4166917 0.091790350  fv Log-Normal   Cox, Log-Normal     TRUE #> 4134   259 0.6658868 0.122476181  fv Log-Normal   Cox, Log-Normal    FALSE #> 4150   260 0.6874868 0.138634719  fv Log-Normal   Cox, Log-Normal    FALSE #> 4166   261 0.8838488 0.152030166  fv Log-Normal   Cox, Log-Normal    FALSE #> 4182   262 0.6874792 0.132166589  fv Log-Normal   Cox, Log-Normal    FALSE #> 4198   263 0.8748474 0.168551544  fv Log-Normal   Cox, Log-Normal    FALSE #> 4214   264 0.7949965 0.167523004  fv Log-Normal   Cox, Log-Normal    FALSE #> 4230   265 0.6229840 0.104494211  fv Log-Normal   Cox, Log-Normal    FALSE #> 4246   266 0.6632234 0.135646780  fv Log-Normal   Cox, Log-Normal    FALSE #> 4262   267 0.6158842 0.130400568  fv Log-Normal   Cox, Log-Normal    FALSE #> 4278   268 0.9506333 0.175878947  fv Log-Normal   Cox, Log-Normal    FALSE #> 4294   269 0.6188439 0.130825645  fv Log-Normal   Cox, Log-Normal    FALSE #> 4310   270 0.6262115 0.114392203  fv Log-Normal   Cox, Log-Normal    FALSE #> 4326   271 0.7801412 0.198342003  fv Log-Normal   Cox, Log-Normal    FALSE #> 4342   272 0.5658894 0.105200138  fv Log-Normal   Cox, Log-Normal    FALSE #> 4358   273 0.7581958 0.155271956  fv Log-Normal   Cox, Log-Normal    FALSE #> 4374   274 0.7608956 0.184496710  fv Log-Normal   Cox, Log-Normal    FALSE #> 4390   275 0.6392780 0.170823574  fv Log-Normal   Cox, Log-Normal    FALSE #> 4406   276 0.7882949 0.154743052  fv Log-Normal   Cox, Log-Normal    FALSE #> 4422   277 0.7194733 0.150653839  fv Log-Normal   Cox, Log-Normal    FALSE #> 4438   278 0.6262877 0.146135300  fv Log-Normal   Cox, Log-Normal    FALSE #> 4454   279 0.8160827 0.161699463  fv Log-Normal   Cox, Log-Normal    FALSE #> 4470   280 0.8380508 0.165760210  fv Log-Normal   Cox, Log-Normal    FALSE #> 4486   281 0.7250819 0.136678134  fv Log-Normal   Cox, Log-Normal    FALSE #> 4502   282 0.6543630 0.124834778  fv Log-Normal   Cox, Log-Normal    FALSE #> 4518   283 0.8861316 0.181607406  fv Log-Normal   Cox, Log-Normal    FALSE #> 4534   284 0.6234693 0.121773534  fv Log-Normal   Cox, Log-Normal    FALSE #> 4550   285 0.7075084 0.140506363  fv Log-Normal   Cox, Log-Normal    FALSE #> 4566   286 0.6991377 0.141637828  fv Log-Normal   Cox, Log-Normal    FALSE #> 4582   287 0.5969511 0.095232884  fv Log-Normal   Cox, Log-Normal    FALSE #> 4598   288 0.6185630 0.128807253  fv Log-Normal   Cox, Log-Normal    FALSE #> 4614   289 0.6932102 0.126244042  fv Log-Normal   Cox, Log-Normal    FALSE #> 4630   290 0.6795473 0.133309208  fv Log-Normal   Cox, Log-Normal    FALSE #> 4646   291 0.7658600 0.125787549  fv Log-Normal   Cox, Log-Normal    FALSE #> 4662   292 0.6655638 0.182337657  fv Log-Normal   Cox, Log-Normal    FALSE #> 4678   293 0.6811121 0.097619440  fv Log-Normal   Cox, Log-Normal    FALSE #> 4694   294 0.7341433 0.126424230  fv Log-Normal   Cox, Log-Normal    FALSE #> 4710   295 0.6397064 0.131345588  fv Log-Normal   Cox, Log-Normal    FALSE #> 4726   296 0.8036840 0.153632947  fv Log-Normal   Cox, Log-Normal    FALSE #> 4742   297 0.4156726 0.078965945  fv Log-Normal   Cox, Log-Normal     TRUE #> 4758   298 0.6992210 0.122399735  fv Log-Normal   Cox, Log-Normal    FALSE #> 4774   299 0.7895367 0.126931179  fv Log-Normal   Cox, Log-Normal    FALSE #> 4790   300 0.6389342 0.119908849  fv Log-Normal   Cox, Log-Normal    FALSE #> 4806   301 1.0721887 0.198275473  fv Log-Normal   Cox, Log-Normal     TRUE #> 4822   302 0.7313978 0.168882249  fv Log-Normal   Cox, Log-Normal    FALSE #> 4838   303 0.6443221 0.103189570  fv Log-Normal   Cox, Log-Normal    FALSE #> 4854   304 0.6883138 0.109793240  fv Log-Normal   Cox, Log-Normal    FALSE #> 4870   305 0.8457392 0.150880524  fv Log-Normal   Cox, Log-Normal    FALSE #> 4886   306 0.5848402 0.114151600  fv Log-Normal   Cox, Log-Normal    FALSE #> 4902   307 0.6233021 0.109508346  fv Log-Normal   Cox, Log-Normal    FALSE #> 4918   308 0.7261324 0.145349003  fv Log-Normal   Cox, Log-Normal    FALSE #> 4934   309 0.6156243 0.121821259  fv Log-Normal   Cox, Log-Normal    FALSE #> 4950   310 0.6653635 0.156392201  fv Log-Normal   Cox, Log-Normal    FALSE #> 4966   311 0.8914660 0.154933778  fv Log-Normal   Cox, Log-Normal    FALSE #> 4982   312 0.7331430 0.136281844  fv Log-Normal   Cox, Log-Normal    FALSE #> 4998   313 0.5088109 0.113177945  fv Log-Normal   Cox, Log-Normal    FALSE #> 5014   314 0.6998085 0.147494090  fv Log-Normal   Cox, Log-Normal    FALSE #> 5030   315 0.6788598 0.118669605  fv Log-Normal   Cox, Log-Normal    FALSE #> 5046   316 0.5935425 0.134907825  fv Log-Normal   Cox, Log-Normal    FALSE #> 5062   317 0.8622104 0.132961863  fv Log-Normal   Cox, Log-Normal    FALSE #> 5078   318 0.5477029 0.159243237  fv Log-Normal   Cox, Log-Normal    FALSE #> 5094   319 0.7504793 0.175775213  fv Log-Normal   Cox, Log-Normal    FALSE #> 5110   320 0.8374628 0.142534760  fv Log-Normal   Cox, Log-Normal    FALSE #> 5126   321 0.9088461 0.199125271  fv Log-Normal   Cox, Log-Normal    FALSE #> 5142   322 0.5883454 0.138882190  fv Log-Normal   Cox, Log-Normal    FALSE #> 5158   323 0.8097169 0.145185115  fv Log-Normal   Cox, Log-Normal    FALSE #> 5174   324 0.5327484 0.097126455  fv Log-Normal   Cox, Log-Normal    FALSE #> 5190   325 0.6209278 0.123937040  fv Log-Normal   Cox, Log-Normal    FALSE #> 5206   326 1.0813592 0.260419864  fv Log-Normal   Cox, Log-Normal     TRUE #> 5222   327 0.5318052 0.101090195  fv Log-Normal   Cox, Log-Normal    FALSE #> 5238   328 0.7967825 0.152965020  fv Log-Normal   Cox, Log-Normal    FALSE #> 5254   329 0.6356635 0.133230934  fv Log-Normal   Cox, Log-Normal    FALSE #> 5270   330 0.5814746 0.143686266  fv Log-Normal   Cox, Log-Normal    FALSE #> 5286   331 0.9345516 0.181733555  fv Log-Normal   Cox, Log-Normal    FALSE #> 5302   332 0.6891797 0.105822208  fv Log-Normal   Cox, Log-Normal    FALSE #> 5318   333 0.5057585 0.107033611  fv Log-Normal   Cox, Log-Normal    FALSE #> 5334   334 0.5523392 0.103592158  fv Log-Normal   Cox, Log-Normal    FALSE #> 5350   335 0.5487718 0.096238261  fv Log-Normal   Cox, Log-Normal    FALSE #> 5366   336 0.7938662 0.153381827  fv Log-Normal   Cox, Log-Normal    FALSE #> 5382   337 0.6558362 0.122412197  fv Log-Normal   Cox, Log-Normal    FALSE #> 5398   338 0.7716627 0.133216328  fv Log-Normal   Cox, Log-Normal    FALSE #> 5414   339 0.5946563 0.112089158  fv Log-Normal   Cox, Log-Normal    FALSE #> 5430   340 0.9258154 0.173020079  fv Log-Normal   Cox, Log-Normal    FALSE #> 5446   341 0.6554285 0.188998496  fv Log-Normal   Cox, Log-Normal    FALSE #> 5462   342 0.5903363 0.103543007  fv Log-Normal   Cox, Log-Normal    FALSE #> 5478   343 0.5801205 0.105220570  fv Log-Normal   Cox, Log-Normal    FALSE #> 5494   344 0.6781217 0.139143373  fv Log-Normal   Cox, Log-Normal    FALSE #> 5510   345 0.6961196 0.128199872  fv Log-Normal   Cox, Log-Normal    FALSE #> 5526   346 0.5227107 0.129366265  fv Log-Normal   Cox, Log-Normal    FALSE #> 5542   347 0.6271774 0.116481432  fv Log-Normal   Cox, Log-Normal    FALSE #> 5558   348 0.6129095 0.127848791  fv Log-Normal   Cox, Log-Normal    FALSE #> 5574   349 0.7061869 0.130911383  fv Log-Normal   Cox, Log-Normal    FALSE #> 5590   350 0.7924372 0.140354741  fv Log-Normal   Cox, Log-Normal    FALSE #> 5606   351 0.6081129 0.110915071  fv Log-Normal   Cox, Log-Normal    FALSE #> 5622   352 0.8113829 0.207987891  fv Log-Normal   Cox, Log-Normal    FALSE #> 5638   353 0.7123554 0.148029613  fv Log-Normal   Cox, Log-Normal    FALSE #> 5654   354 0.6733492 0.120250828  fv Log-Normal   Cox, Log-Normal    FALSE #> 5670   355 0.7413575 0.117491541  fv Log-Normal   Cox, Log-Normal    FALSE #> 5686   356 0.6356097 0.136723847  fv Log-Normal   Cox, Log-Normal    FALSE #> 5702   357 0.9077288 0.201687015  fv Log-Normal   Cox, Log-Normal    FALSE #> 5718   358 0.6760533 0.114786462  fv Log-Normal   Cox, Log-Normal    FALSE #> 5734   359 0.5219090 0.108201573  fv Log-Normal   Cox, Log-Normal    FALSE #> 5750   360 0.6815372 0.124079334  fv Log-Normal   Cox, Log-Normal    FALSE #> 5766   361 0.6430326 0.131155722  fv Log-Normal   Cox, Log-Normal    FALSE #> 5782   362 0.6311695 0.139240974  fv Log-Normal   Cox, Log-Normal    FALSE #> 5798   363 0.6177379 0.136118552  fv Log-Normal   Cox, Log-Normal    FALSE #> 5814   364 0.8976105 0.177776665  fv Log-Normal   Cox, Log-Normal    FALSE #> 5830   365 0.8077777 0.181160990  fv Log-Normal   Cox, Log-Normal    FALSE #> 5846   366 0.6859270 0.163243165  fv Log-Normal   Cox, Log-Normal    FALSE #> 5862   367 0.8039909 0.173052304  fv Log-Normal   Cox, Log-Normal    FALSE #> 5878   368 0.9904820 0.206693114  fv Log-Normal   Cox, Log-Normal    FALSE #> 5894   369 0.6043360 0.105582542  fv Log-Normal   Cox, Log-Normal    FALSE #> 5910   370 0.7742858 0.160759545  fv Log-Normal   Cox, Log-Normal    FALSE #> 5926   371 0.6578030 0.151843773  fv Log-Normal   Cox, Log-Normal    FALSE #> 5942   372 0.5007659 0.102818471  fv Log-Normal   Cox, Log-Normal    FALSE #> 5958   373 1.1151799 0.262411215  fv Log-Normal   Cox, Log-Normal     TRUE #> 5974   374 0.5438101 0.110074187  fv Log-Normal   Cox, Log-Normal    FALSE #> 5990   375 0.6580755 0.148102054  fv Log-Normal   Cox, Log-Normal    FALSE #> 6006   376 0.7039508 0.155302979  fv Log-Normal   Cox, Log-Normal    FALSE #> 6022   377 0.5414599 0.090535372  fv Log-Normal   Cox, Log-Normal    FALSE #> 6038   378 0.6197608 0.130994750  fv Log-Normal   Cox, Log-Normal    FALSE #> 6054   379 0.5067599 0.084260679  fv Log-Normal   Cox, Log-Normal    FALSE #> 6070   380 0.6564966 0.109664243  fv Log-Normal   Cox, Log-Normal    FALSE #> 6086   381 0.8540702 0.184255358  fv Log-Normal   Cox, Log-Normal    FALSE #> 6102   382 0.7318377 0.153279580  fv Log-Normal   Cox, Log-Normal    FALSE #> 6118   383 0.7133871 0.142053344  fv Log-Normal   Cox, Log-Normal    FALSE #> 6134   384 0.7092118 0.136370965  fv Log-Normal   Cox, Log-Normal    FALSE #> 6150   385 0.5917005 0.147258323  fv Log-Normal   Cox, Log-Normal    FALSE #> 6166   386 0.9153763 0.229498321  fv Log-Normal   Cox, Log-Normal     TRUE #> 6182   387 0.5871767 0.123612345  fv Log-Normal   Cox, Log-Normal    FALSE #> 6198   388 0.9291695 0.122982818  fv Log-Normal   Cox, Log-Normal    FALSE #> 6214   389 0.8058096 0.150461962  fv Log-Normal   Cox, Log-Normal    FALSE #> 6230   390 0.6773542 0.151801071  fv Log-Normal   Cox, Log-Normal    FALSE #> 6246   391 0.8182120 0.134244623  fv Log-Normal   Cox, Log-Normal    FALSE #> 6262   392 0.6261693 0.144322919  fv Log-Normal   Cox, Log-Normal    FALSE #> 6278   393 0.5608767 0.087397909  fv Log-Normal   Cox, Log-Normal    FALSE #> 6294   394 0.8782935 0.189730141  fv Log-Normal   Cox, Log-Normal    FALSE #> 6310   395 0.7611073 0.155530156  fv Log-Normal   Cox, Log-Normal    FALSE #> 6326   396 1.0179662 0.186941257  fv Log-Normal   Cox, Log-Normal    FALSE #> 6342   397 0.7116466 0.138074147  fv Log-Normal   Cox, Log-Normal    FALSE #> 6358   398 0.6727192 0.112933246  fv Log-Normal   Cox, Log-Normal    FALSE #> 6374   399 0.8183800 0.153200171  fv Log-Normal   Cox, Log-Normal    FALSE #> 6390   400 0.5367667 0.115885505  fv Log-Normal   Cox, Log-Normal    FALSE #> 6406   401 0.6126184 0.116844582  fv Log-Normal   Cox, Log-Normal    FALSE #> 6422   402 0.5449950 0.165808259  fv Log-Normal   Cox, Log-Normal    FALSE #> 6438   403 0.6208233 0.124821022  fv Log-Normal   Cox, Log-Normal    FALSE #> 6454   404 0.5770424 0.151038157  fv Log-Normal   Cox, Log-Normal    FALSE #> 6470   405 0.4747106 0.100298660  fv Log-Normal   Cox, Log-Normal    FALSE #> 6486   406 0.7328698 0.142571527  fv Log-Normal   Cox, Log-Normal    FALSE #> 6502   407 0.7521805 0.168896665  fv Log-Normal   Cox, Log-Normal    FALSE #> 6518   408 0.4939505 0.126659415  fv Log-Normal   Cox, Log-Normal    FALSE #> 6534   409 0.7342496 0.137209818  fv Log-Normal   Cox, Log-Normal    FALSE #> 6550   410 0.7711058 0.166901809  fv Log-Normal   Cox, Log-Normal    FALSE #> 6566   411 0.6537021 0.158644072  fv Log-Normal   Cox, Log-Normal    FALSE #> 6582   412 0.6641258 0.185779173  fv Log-Normal   Cox, Log-Normal    FALSE #> 6598   413 0.5336693 0.120967307  fv Log-Normal   Cox, Log-Normal    FALSE #> 6614   414 0.8645269 0.156417045  fv Log-Normal   Cox, Log-Normal    FALSE #> 6630   415 1.2669904 0.221355780  fv Log-Normal   Cox, Log-Normal     TRUE #> 6646   416 0.5679880 0.136164326  fv Log-Normal   Cox, Log-Normal    FALSE #> 6662   417 0.5518002 0.097475326  fv Log-Normal   Cox, Log-Normal    FALSE #> 6678   418 0.8899199 0.126041947  fv Log-Normal   Cox, Log-Normal    FALSE #> 6694   419 0.4910310 0.096522319  fv Log-Normal   Cox, Log-Normal    FALSE #> 6710   420 0.7613114 0.168472044  fv Log-Normal   Cox, Log-Normal    FALSE #> 6726   421 0.7927672 0.149403972  fv Log-Normal   Cox, Log-Normal    FALSE #> 6742   422 0.5762327 0.132336946  fv Log-Normal   Cox, Log-Normal    FALSE #> 6758   423 0.5858586 0.109042212  fv Log-Normal   Cox, Log-Normal    FALSE #> 6774   424 0.6812210 0.135407029  fv Log-Normal   Cox, Log-Normal    FALSE #> 6790   425 0.7494056 0.158380464  fv Log-Normal   Cox, Log-Normal    FALSE #> 6806   426 0.8255828 0.167092229  fv Log-Normal   Cox, Log-Normal    FALSE #> 6822   427 0.9580083 0.193525749  fv Log-Normal   Cox, Log-Normal    FALSE #> 6838   428 0.8200189 0.174800466  fv Log-Normal   Cox, Log-Normal    FALSE #> 6854   429 0.7253120 0.138989939  fv Log-Normal   Cox, Log-Normal    FALSE #> 6870   430 0.8015608 0.159246665  fv Log-Normal   Cox, Log-Normal    FALSE #> 6886   431 0.6839649 0.163805863  fv Log-Normal   Cox, Log-Normal    FALSE #> 6902   432 0.8651093 0.182008216  fv Log-Normal   Cox, Log-Normal    FALSE #> 6918   433 0.5920234 0.102567571  fv Log-Normal   Cox, Log-Normal    FALSE #> 6934   434 0.5880071 0.117101961  fv Log-Normal   Cox, Log-Normal    FALSE #> 6950   435 0.4973641 0.107090021  fv Log-Normal   Cox, Log-Normal    FALSE #> 6966   436 0.7631187 0.131617867  fv Log-Normal   Cox, Log-Normal    FALSE #> 6982   437 0.5823778 0.125462900  fv Log-Normal   Cox, Log-Normal    FALSE #> 6998   438 0.8514556 0.152749346  fv Log-Normal   Cox, Log-Normal    FALSE #> 7014   439 0.5976061 0.142466128  fv Log-Normal   Cox, Log-Normal    FALSE #> 7030   440 0.4167886 0.097617508  fv Log-Normal   Cox, Log-Normal     TRUE #> 7046   441 0.5600775 0.113085806  fv Log-Normal   Cox, Log-Normal    FALSE #> 7062   442 0.7506161 0.147798952  fv Log-Normal   Cox, Log-Normal    FALSE #> 7078   443 0.8033583 0.166071013  fv Log-Normal   Cox, Log-Normal    FALSE #> 7094   444 0.8324845 0.192734911  fv Log-Normal   Cox, Log-Normal    FALSE #> 7110   445 0.9003486 0.176256265  fv Log-Normal   Cox, Log-Normal    FALSE #> 7126   446 0.6375473 0.120152949  fv Log-Normal   Cox, Log-Normal    FALSE #> 7142   447 0.8891201 0.168609893  fv Log-Normal   Cox, Log-Normal    FALSE #> 7158   448 0.9157472 0.197688993  fv Log-Normal   Cox, Log-Normal    FALSE #> 7174   449 0.9081860 0.189349612  fv Log-Normal   Cox, Log-Normal    FALSE #> 7190   450 0.7032306 0.140992126  fv Log-Normal   Cox, Log-Normal    FALSE #> 7206   451 0.7939868 0.149065953  fv Log-Normal   Cox, Log-Normal    FALSE #> 7222   452 0.7822568 0.149666090  fv Log-Normal   Cox, Log-Normal    FALSE #> 7238   453 0.6987296 0.135190518  fv Log-Normal   Cox, Log-Normal    FALSE #> 7254   454 0.6802980 0.149217852  fv Log-Normal   Cox, Log-Normal    FALSE #> 7270   455 0.6300706 0.117145542  fv Log-Normal   Cox, Log-Normal    FALSE #> 7286   456 0.4853340 0.098943448  fv Log-Normal   Cox, Log-Normal    FALSE #> 7302   457 0.9159317 0.166991448  fv Log-Normal   Cox, Log-Normal    FALSE #> 7318   458 0.7926127 0.218179833  fv Log-Normal   Cox, Log-Normal    FALSE #> 7334   459 0.9673546 0.239194160  fv Log-Normal   Cox, Log-Normal     TRUE #> 7350   460 0.6824635 0.114496923  fv Log-Normal   Cox, Log-Normal    FALSE #> 7366   461 0.7838993 0.123060287  fv Log-Normal   Cox, Log-Normal    FALSE #> 7382   462 0.7263722 0.136940630  fv Log-Normal   Cox, Log-Normal    FALSE #> 7398   463 0.8725465 0.208727400  fv Log-Normal   Cox, Log-Normal    FALSE #> 7414   464 0.8133746 0.125786465  fv Log-Normal   Cox, Log-Normal    FALSE #> 7430   465 0.8180210 0.162596932  fv Log-Normal   Cox, Log-Normal    FALSE #> 7446   466 0.8447400 0.174373325  fv Log-Normal   Cox, Log-Normal    FALSE #> 7462   467 0.7417616 0.156331232  fv Log-Normal   Cox, Log-Normal    FALSE #> 7478   468 0.9181124 0.152344493  fv Log-Normal   Cox, Log-Normal    FALSE #> 7494   469 0.8086114 0.162584399  fv Log-Normal   Cox, Log-Normal    FALSE #> 7510   470 0.7530716 0.158528182  fv Log-Normal   Cox, Log-Normal    FALSE #> 7526   471 0.6314900 0.146336756  fv Log-Normal   Cox, Log-Normal    FALSE #> 7542   472 0.8683746 0.156186168  fv Log-Normal   Cox, Log-Normal    FALSE #> 7558   473 0.6937239 0.141938343  fv Log-Normal   Cox, Log-Normal    FALSE #> 7574   474 1.0218309 0.201167398  fv Log-Normal   Cox, Log-Normal    FALSE #> 7590   475 0.6337743 0.116592408  fv Log-Normal   Cox, Log-Normal    FALSE #> 7606   476 0.4770815 0.107961700  fv Log-Normal   Cox, Log-Normal    FALSE #> 7622   477 0.5086332 0.109130539  fv Log-Normal   Cox, Log-Normal    FALSE #> 7638   478 0.8075402 0.117965092  fv Log-Normal   Cox, Log-Normal    FALSE #> 7654   479 0.7389806 0.136893016  fv Log-Normal   Cox, Log-Normal    FALSE #> 7670   480 1.0175151 0.199915585  fv Log-Normal   Cox, Log-Normal    FALSE #> 7686   481 1.0192289 0.206087507  fv Log-Normal   Cox, Log-Normal    FALSE #> 7702   482 0.7832508 0.159491148  fv Log-Normal   Cox, Log-Normal    FALSE #> 7718   483 0.9418885 0.220672055  fv Log-Normal   Cox, Log-Normal     TRUE #> 7734   484 0.8962617 0.202093121  fv Log-Normal   Cox, Log-Normal    FALSE #> 7750   485 0.5958992 0.105063175  fv Log-Normal   Cox, Log-Normal    FALSE #> 7766   486 0.4667542 0.102867880  fv Log-Normal   Cox, Log-Normal    FALSE #> 7782   487 0.8900147 0.175007983  fv Log-Normal   Cox, Log-Normal    FALSE #> 7798   488 0.4449524 0.087682549  fv Log-Normal   Cox, Log-Normal    FALSE #> 7814   489 0.8004214 0.186144327  fv Log-Normal   Cox, Log-Normal    FALSE #> 7830   490 0.7127792 0.119173213  fv Log-Normal   Cox, Log-Normal    FALSE #> 7846   491 0.6889070 0.133673254  fv Log-Normal   Cox, Log-Normal    FALSE #> 7862   492 0.5582058 0.086242399  fv Log-Normal   Cox, Log-Normal    FALSE #> 7878   493 1.0663941 0.245806620  fv Log-Normal   Cox, Log-Normal     TRUE #> 7894   494 0.6613066 0.106604021  fv Log-Normal   Cox, Log-Normal    FALSE #> 7910   495 0.8228011 0.118045197  fv Log-Normal   Cox, Log-Normal    FALSE #> 7926   496 1.0887179 0.237339281  fv Log-Normal   Cox, Log-Normal     TRUE #> 7942   497 0.5916038 0.114587057  fv Log-Normal   Cox, Log-Normal    FALSE #> 7958   498 0.6348066 0.135633761  fv Log-Normal   Cox, Log-Normal    FALSE #> 7974   499 0.8889109 0.216181001  fv Log-Normal   Cox, Log-Normal    FALSE #> 7990   500 0.6773264 0.138954096  fv Log-Normal   Cox, Log-Normal    FALSE #> 8006   501 1.3435254 0.291530812  fv Log-Normal   Cox, Log-Normal     TRUE #> 8022   502 0.7736005 0.146718156  fv Log-Normal   Cox, Log-Normal    FALSE #> 8038   503 0.7460948 0.134956945  fv Log-Normal   Cox, Log-Normal    FALSE #> 8054   504 0.8756279 0.159497799  fv Log-Normal   Cox, Log-Normal    FALSE #> 8070   505 0.7539893 0.111108625  fv Log-Normal   Cox, Log-Normal    FALSE #> 8086   506 1.0221922 0.240938697  fv Log-Normal   Cox, Log-Normal     TRUE #> 8102   507 0.7310864 0.114690626  fv Log-Normal   Cox, Log-Normal    FALSE #> 8118   508 0.5378310 0.123741319  fv Log-Normal   Cox, Log-Normal    FALSE #> 8134   509 0.6777937 0.130389895  fv Log-Normal   Cox, Log-Normal    FALSE #> 8150   510 0.6842877 0.138741429  fv Log-Normal   Cox, Log-Normal    FALSE #> 8166   511 0.4603930 0.088394301  fv Log-Normal   Cox, Log-Normal    FALSE #> 8182   512 0.7229525 0.147506273  fv Log-Normal   Cox, Log-Normal    FALSE #> 8198   513 0.8035298 0.149275045  fv Log-Normal   Cox, Log-Normal    FALSE #> 8214   514 0.7179322 0.136809080  fv Log-Normal   Cox, Log-Normal    FALSE #> 8230   515 0.5586526 0.122315382  fv Log-Normal   Cox, Log-Normal    FALSE #> 8246   516 0.7377219 0.143754572  fv Log-Normal   Cox, Log-Normal    FALSE #> 8262   517 0.3667741 0.085169579  fv Log-Normal   Cox, Log-Normal     TRUE #> 8278   518 0.7435838 0.138029022  fv Log-Normal   Cox, Log-Normal    FALSE #> 8294   519 0.7674745 0.150261965  fv Log-Normal   Cox, Log-Normal    FALSE #> 8310   520 0.8003345 0.122407092  fv Log-Normal   Cox, Log-Normal    FALSE #> 8326   521 0.7988626 0.169064785  fv Log-Normal   Cox, Log-Normal    FALSE #> 8342   522 0.5375144 0.095228819  fv Log-Normal   Cox, Log-Normal    FALSE #> 8358   523 0.7667009 0.131558815  fv Log-Normal   Cox, Log-Normal    FALSE #> 8374   524 0.5269024 0.120077784  fv Log-Normal   Cox, Log-Normal    FALSE #> 8390   525 0.7031804 0.154586399  fv Log-Normal   Cox, Log-Normal    FALSE #> 8406   526 0.6061274 0.117091908  fv Log-Normal   Cox, Log-Normal    FALSE #> 8422   527 0.7137822 0.163596077  fv Log-Normal   Cox, Log-Normal    FALSE #> 8438   528 0.9252247 0.189829300  fv Log-Normal   Cox, Log-Normal    FALSE #> 8454   529 0.9342341 0.181406052  fv Log-Normal   Cox, Log-Normal    FALSE #> 8470   530 0.4498170 0.111087235  fv Log-Normal   Cox, Log-Normal    FALSE #> 8486   531 0.9979562 0.213629379  fv Log-Normal   Cox, Log-Normal    FALSE #> 8502   532 0.7223377 0.116231722  fv Log-Normal   Cox, Log-Normal    FALSE #> 8518   533 0.6906718 0.122960600  fv Log-Normal   Cox, Log-Normal    FALSE #> 8534   534 0.7416424 0.148941672  fv Log-Normal   Cox, Log-Normal    FALSE #> 8550   535 0.8626834 0.157323432  fv Log-Normal   Cox, Log-Normal    FALSE #> 8566   536 0.5963041 0.116089213  fv Log-Normal   Cox, Log-Normal    FALSE #> 8582   537 1.2345153 0.237582349  fv Log-Normal   Cox, Log-Normal     TRUE #> 8598   538 0.5063558 0.092401072  fv Log-Normal   Cox, Log-Normal    FALSE #> 8614   539 0.6862567 0.149536685  fv Log-Normal   Cox, Log-Normal    FALSE #> 8630   540 0.6141186 0.114391863  fv Log-Normal   Cox, Log-Normal    FALSE #> 8646   541 0.8968782 0.167673684  fv Log-Normal   Cox, Log-Normal    FALSE #> 8662   542 0.8198767 0.169342183  fv Log-Normal   Cox, Log-Normal    FALSE #> 8678   543 0.7575504 0.148707340  fv Log-Normal   Cox, Log-Normal    FALSE #> 8694   544 0.7617908 0.155859277  fv Log-Normal   Cox, Log-Normal    FALSE #> 8710   545 0.5717824 0.084305835  fv Log-Normal   Cox, Log-Normal    FALSE #> 8726   546 0.9040874 0.167410002  fv Log-Normal   Cox, Log-Normal    FALSE #> 8742   547 0.6870910 0.129415648  fv Log-Normal   Cox, Log-Normal    FALSE #> 8758   548 0.5381865 0.117060922  fv Log-Normal   Cox, Log-Normal    FALSE #> 8774   549 0.8835431 0.179113769  fv Log-Normal   Cox, Log-Normal    FALSE #> 8790   550 0.5208702 0.124333872  fv Log-Normal   Cox, Log-Normal    FALSE #> 8806   551 0.7964585 0.156422129  fv Log-Normal   Cox, Log-Normal    FALSE #> 8822   552 0.7041652 0.128276679  fv Log-Normal   Cox, Log-Normal    FALSE #> 8838   553 0.8459051 0.122339846  fv Log-Normal   Cox, Log-Normal    FALSE #> 8854   554 0.8977503 0.179088453  fv Log-Normal   Cox, Log-Normal    FALSE #> 8870   555 0.8326376 0.128746242  fv Log-Normal   Cox, Log-Normal    FALSE #> 8886   556 0.8753515 0.143451520  fv Log-Normal   Cox, Log-Normal    FALSE #> 8902   557 0.6984218 0.127912102  fv Log-Normal   Cox, Log-Normal    FALSE #> 8918   558 0.6669430 0.112161043  fv Log-Normal   Cox, Log-Normal    FALSE #> 8934   559 0.6132347 0.122896494  fv Log-Normal   Cox, Log-Normal    FALSE #> 8950   560 0.7760753 0.145292156  fv Log-Normal   Cox, Log-Normal    FALSE #> 8966   561 1.2406263 0.221751865  fv Log-Normal   Cox, Log-Normal     TRUE #> 8982   562 0.8951923 0.192853014  fv Log-Normal   Cox, Log-Normal    FALSE #> 8998   563 0.7936453 0.148256364  fv Log-Normal   Cox, Log-Normal    FALSE #> 9014   564 0.6496611 0.154999773  fv Log-Normal   Cox, Log-Normal    FALSE #> 9030   565 0.5558608 0.112968507  fv Log-Normal   Cox, Log-Normal    FALSE #> 9046   566 0.7784225 0.197678997  fv Log-Normal   Cox, Log-Normal    FALSE #> 9062   567 0.7390722 0.134151819  fv Log-Normal   Cox, Log-Normal    FALSE #> 9078   568 0.5370427 0.106409861  fv Log-Normal   Cox, Log-Normal    FALSE #> 9094   569 0.8446977 0.151362680  fv Log-Normal   Cox, Log-Normal    FALSE #> 9110   570 0.5783874 0.154235730  fv Log-Normal   Cox, Log-Normal    FALSE #> 9126   571 0.6980819 0.132611887  fv Log-Normal   Cox, Log-Normal    FALSE #> 9142   572 0.6078955 0.113509666  fv Log-Normal   Cox, Log-Normal    FALSE #> 9158   573 0.6531702 0.123193776  fv Log-Normal   Cox, Log-Normal    FALSE #> 9174   574 0.7369219 0.133697888  fv Log-Normal   Cox, Log-Normal    FALSE #> 9190   575 0.6652456 0.174809549  fv Log-Normal   Cox, Log-Normal    FALSE #> 9206   576 0.7042127 0.184240750  fv Log-Normal   Cox, Log-Normal    FALSE #> 9222   577 0.9058959 0.206369728  fv Log-Normal   Cox, Log-Normal    FALSE #> 9238   578 0.5871046 0.099243005  fv Log-Normal   Cox, Log-Normal    FALSE #> 9254   579 0.6010841 0.132716062  fv Log-Normal   Cox, Log-Normal    FALSE #> 9270   580 0.4971421 0.107766896  fv Log-Normal   Cox, Log-Normal    FALSE #> 9286   581 0.7923715 0.151082100  fv Log-Normal   Cox, Log-Normal    FALSE #> 9302   582 0.7728312 0.153502508  fv Log-Normal   Cox, Log-Normal    FALSE #> 9318   583 1.0323624 0.163822527  fv Log-Normal   Cox, Log-Normal    FALSE #> 9334   584 0.5414420 0.108025677  fv Log-Normal   Cox, Log-Normal    FALSE #> 9350   585 0.7190622 0.114529054  fv Log-Normal   Cox, Log-Normal    FALSE #> 9366   586 0.7455106 0.124365353  fv Log-Normal   Cox, Log-Normal    FALSE #> 9382   587 0.9302355 0.214573938  fv Log-Normal   Cox, Log-Normal    FALSE #> 9398   588 0.5806374 0.109803503  fv Log-Normal   Cox, Log-Normal    FALSE #> 9414   589 0.6039216 0.119344261  fv Log-Normal   Cox, Log-Normal    FALSE #> 9430   590 0.8219766 0.176507665  fv Log-Normal   Cox, Log-Normal    FALSE #> 9446   591 0.8456887 0.166784984  fv Log-Normal   Cox, Log-Normal    FALSE #> 9462   592 0.8298067 0.163691115  fv Log-Normal   Cox, Log-Normal    FALSE #> 9478   593 0.9301881 0.184785185  fv Log-Normal   Cox, Log-Normal    FALSE #> 9494   594 0.7212752 0.124340342  fv Log-Normal   Cox, Log-Normal    FALSE #> 9510   595 0.5431571 0.090258789  fv Log-Normal   Cox, Log-Normal    FALSE #> 9526   596 0.7293813 0.174344234  fv Log-Normal   Cox, Log-Normal    FALSE #> 9542   597 0.6050940 0.111506243  fv Log-Normal   Cox, Log-Normal    FALSE #> 9558   598 1.0673488 0.205896016  fv Log-Normal   Cox, Log-Normal     TRUE #> 9574   599 0.7497517 0.183646091  fv Log-Normal   Cox, Log-Normal    FALSE #> 9590   600 0.5310092 0.109738635  fv Log-Normal   Cox, Log-Normal    FALSE #> 9606   601 1.1622807 0.252214764  fv Log-Normal   Cox, Log-Normal     TRUE #> 9622   602 0.9860745 0.203449964  fv Log-Normal   Cox, Log-Normal    FALSE #> 9638   603 0.4156386 0.069227727  fv Log-Normal   Cox, Log-Normal     TRUE #> 9654   604 0.7547442 0.131357593  fv Log-Normal   Cox, Log-Normal    FALSE #> 9670   605 1.2270888 0.254788035  fv Log-Normal   Cox, Log-Normal     TRUE #> 9686   606 0.6744288 0.140766466  fv Log-Normal   Cox, Log-Normal    FALSE #> 9702   607 0.6089607 0.135399445  fv Log-Normal   Cox, Log-Normal    FALSE #> 9718   608 0.4385750 0.078430090  fv Log-Normal   Cox, Log-Normal    FALSE #> 9734   609 0.8290773 0.146094145  fv Log-Normal   Cox, Log-Normal    FALSE #> 9750   610 0.6340374 0.128702321  fv Log-Normal   Cox, Log-Normal    FALSE #> 9766   611 0.8007515 0.201200477  fv Log-Normal   Cox, Log-Normal    FALSE #> 9782   612 0.5875066 0.117282979  fv Log-Normal   Cox, Log-Normal    FALSE #> 9798   613 0.8175702 0.130135551  fv Log-Normal   Cox, Log-Normal    FALSE #> 9814   614 0.7773840 0.134334791  fv Log-Normal   Cox, Log-Normal    FALSE #> 9830   615 0.8689451 0.145406422  fv Log-Normal   Cox, Log-Normal    FALSE #> 9846   616 0.7820989 0.151533700  fv Log-Normal   Cox, Log-Normal    FALSE #> 9862   617 0.7837638 0.136211673  fv Log-Normal   Cox, Log-Normal    FALSE #> 9878   618 0.6788178 0.142475685  fv Log-Normal   Cox, Log-Normal    FALSE #> 9894   619 0.8183659 0.154788400  fv Log-Normal   Cox, Log-Normal    FALSE #> 9910   620 0.8171046 0.180268515  fv Log-Normal   Cox, Log-Normal    FALSE #> 9926   621 0.5639292 0.107073034  fv Log-Normal   Cox, Log-Normal    FALSE #> 9942   622 0.6314516 0.125356048  fv Log-Normal   Cox, Log-Normal    FALSE #> 9958   623 0.8785102 0.184572000  fv Log-Normal   Cox, Log-Normal    FALSE #> 9974   624 0.5825642 0.140201227  fv Log-Normal   Cox, Log-Normal    FALSE #> 9990   625 0.7614824 0.157638018  fv Log-Normal   Cox, Log-Normal    FALSE #> 10006  626 0.6383478 0.128329406  fv Log-Normal   Cox, Log-Normal    FALSE #> 10022  627 0.6242897 0.114015728  fv Log-Normal   Cox, Log-Normal    FALSE #> 10038  628 0.6642862 0.172314284  fv Log-Normal   Cox, Log-Normal    FALSE #> 10054  629 0.6375845 0.122839399  fv Log-Normal   Cox, Log-Normal    FALSE #> 10070  630 0.8324783 0.130755118  fv Log-Normal   Cox, Log-Normal    FALSE #> 10086  631 0.6702640 0.108227424  fv Log-Normal   Cox, Log-Normal    FALSE #> 10102  632 0.7767630 0.177729336  fv Log-Normal   Cox, Log-Normal    FALSE #> 10118  633 0.4914987 0.093416187  fv Log-Normal   Cox, Log-Normal    FALSE #> 10134  634 0.6746632 0.175170229  fv Log-Normal   Cox, Log-Normal    FALSE #> 10150  635 0.9036130 0.202423279  fv Log-Normal   Cox, Log-Normal    FALSE #> 10166  636 0.4183601 0.083783931  fv Log-Normal   Cox, Log-Normal     TRUE #> 10182  637 0.8719040 0.157295311  fv Log-Normal   Cox, Log-Normal    FALSE #> 10198  638 0.6832427 0.161228334  fv Log-Normal   Cox, Log-Normal    FALSE #> 10214  639 0.4325527 0.097111445  fv Log-Normal   Cox, Log-Normal    FALSE #> 10230  640 0.7229937 0.154618672  fv Log-Normal   Cox, Log-Normal    FALSE #> 10246  641 0.5857330 0.122395333  fv Log-Normal   Cox, Log-Normal    FALSE #> 10262  642 0.6360379 0.117279907  fv Log-Normal   Cox, Log-Normal    FALSE #> 10278  643 0.6645645 0.116264569  fv Log-Normal   Cox, Log-Normal    FALSE #> 10294  644 0.6190932 0.107311160  fv Log-Normal   Cox, Log-Normal    FALSE #> 10310  645 0.7533956 0.134819768  fv Log-Normal   Cox, Log-Normal    FALSE #> 10326  646 0.8375410 0.134833528  fv Log-Normal   Cox, Log-Normal    FALSE #> 10342  647 0.6563751 0.098262571  fv Log-Normal   Cox, Log-Normal    FALSE #> 10358  648 1.0706016 0.216998183  fv Log-Normal   Cox, Log-Normal     TRUE #> 10374  649 0.6314217 0.139306982  fv Log-Normal   Cox, Log-Normal    FALSE #> 10390  650 0.8102765 0.157581814  fv Log-Normal   Cox, Log-Normal    FALSE #> 10406  651 0.7925761 0.156304582  fv Log-Normal   Cox, Log-Normal    FALSE #> 10422  652 1.2665462 0.209947407  fv Log-Normal   Cox, Log-Normal     TRUE #> 10438  653 0.5434712 0.103592893  fv Log-Normal   Cox, Log-Normal    FALSE #> 10454  654 0.5856523 0.164414521  fv Log-Normal   Cox, Log-Normal    FALSE #> 10470  655 0.7001387 0.134566498  fv Log-Normal   Cox, Log-Normal    FALSE #> 10486  656 0.7099659 0.150674082  fv Log-Normal   Cox, Log-Normal    FALSE #> 10502  657 0.5343694 0.110794639  fv Log-Normal   Cox, Log-Normal    FALSE #> 10518  658 1.1477870 0.241951186  fv Log-Normal   Cox, Log-Normal     TRUE #> 10534  659 1.0433141 0.268908122  fv Log-Normal   Cox, Log-Normal     TRUE #> 10550  660 0.8574517 0.160474979  fv Log-Normal   Cox, Log-Normal    FALSE #> 10566  661 0.5656016 0.115462157  fv Log-Normal   Cox, Log-Normal    FALSE #> 10582  662 0.5913374 0.112065321  fv Log-Normal   Cox, Log-Normal    FALSE #> 10598  663 0.7014024 0.115616243  fv Log-Normal   Cox, Log-Normal    FALSE #> 10614  664 0.7024798 0.117240169  fv Log-Normal   Cox, Log-Normal    FALSE #> 10630  665 0.8771094 0.169469126  fv Log-Normal   Cox, Log-Normal    FALSE #> 10646  666 1.1630685 0.201255082  fv Log-Normal   Cox, Log-Normal     TRUE #> 10662  667 0.6484067 0.117314626  fv Log-Normal   Cox, Log-Normal    FALSE #> 10678  668 0.6308263 0.131132730  fv Log-Normal   Cox, Log-Normal    FALSE #> 10694  669 0.9142532 0.187111491  fv Log-Normal   Cox, Log-Normal    FALSE #> 10710  670 0.6192754 0.147049588  fv Log-Normal   Cox, Log-Normal    FALSE #> 10726  671 0.7969559 0.146088966  fv Log-Normal   Cox, Log-Normal    FALSE #> 10742  672 0.9573071 0.193663466  fv Log-Normal   Cox, Log-Normal    FALSE #> 10758  673 0.6501472 0.117106072  fv Log-Normal   Cox, Log-Normal    FALSE #> 10774  674 0.8224194 0.160584426  fv Log-Normal   Cox, Log-Normal    FALSE #> 10790  675 0.6495018 0.188477878  fv Log-Normal   Cox, Log-Normal    FALSE #> 10806  676 0.8711933 0.164562370  fv Log-Normal   Cox, Log-Normal    FALSE #> 10822  677 0.6800675 0.117054835  fv Log-Normal   Cox, Log-Normal    FALSE #> 10838  678 0.5713441 0.107816673  fv Log-Normal   Cox, Log-Normal    FALSE #> 10854  679 0.6112346 0.133477913  fv Log-Normal   Cox, Log-Normal    FALSE #> 10870  680 0.7496116 0.136062520  fv Log-Normal   Cox, Log-Normal    FALSE #> 10886  681 1.0147299 0.200149345  fv Log-Normal   Cox, Log-Normal    FALSE #> 10902  682 0.6897060 0.140083930  fv Log-Normal   Cox, Log-Normal    FALSE #> 10918  683 0.8143957 0.185740341  fv Log-Normal   Cox, Log-Normal    FALSE #> 10934  684 1.0560264 0.219153739  fv Log-Normal   Cox, Log-Normal     TRUE #> 10950  685 0.6654488 0.115993957  fv Log-Normal   Cox, Log-Normal    FALSE #> 10966  686 0.8930725 0.173037645  fv Log-Normal   Cox, Log-Normal    FALSE #> 10982  687 0.5843867 0.083530258  fv Log-Normal   Cox, Log-Normal    FALSE #> 10998  688 0.6143148 0.131684418  fv Log-Normal   Cox, Log-Normal    FALSE #> 11014  689 0.6573937 0.127658438  fv Log-Normal   Cox, Log-Normal    FALSE #> 11030  690 0.8718297 0.179672033  fv Log-Normal   Cox, Log-Normal    FALSE #> 11046  691 0.7069982 0.288250138  fv Log-Normal   Cox, Log-Normal     TRUE #> 11062  692 0.6778167 0.148233924  fv Log-Normal   Cox, Log-Normal    FALSE #> 11078  693 0.5430129 0.135999915  fv Log-Normal   Cox, Log-Normal    FALSE #> 11094  694 0.7297001 0.140998825  fv Log-Normal   Cox, Log-Normal    FALSE #> 11110  695 0.6424014 0.105666649  fv Log-Normal   Cox, Log-Normal    FALSE #> 11126  696 0.7792619 0.119330409  fv Log-Normal   Cox, Log-Normal    FALSE #> 11142  697 0.8896887 0.198744409  fv Log-Normal   Cox, Log-Normal    FALSE #> 11158  698 0.4671205 0.106620840  fv Log-Normal   Cox, Log-Normal    FALSE #> 11174  699 0.7181789 0.160616129  fv Log-Normal   Cox, Log-Normal    FALSE #> 11190  700 0.5477280 0.108273968  fv Log-Normal   Cox, Log-Normal    FALSE #> 11206  701 0.8589172 0.180922288  fv Log-Normal   Cox, Log-Normal    FALSE #> 11222  702 0.8686646 0.196511490  fv Log-Normal   Cox, Log-Normal    FALSE #> 11238  703 0.7410847 0.159178375  fv Log-Normal   Cox, Log-Normal    FALSE #> 11254  704 0.6408199 0.125427367  fv Log-Normal   Cox, Log-Normal    FALSE #> 11270  705 0.7057959 0.146779535  fv Log-Normal   Cox, Log-Normal    FALSE #> 11286  706 0.7643511 0.148323471  fv Log-Normal   Cox, Log-Normal    FALSE #> 11302  707 0.9700524 0.160443888  fv Log-Normal   Cox, Log-Normal    FALSE #> 11318  708 0.9265933 0.149354147  fv Log-Normal   Cox, Log-Normal    FALSE #> 11334  709 0.6749683 0.172123684  fv Log-Normal   Cox, Log-Normal    FALSE #> 11350  710 0.5117771 0.091200765  fv Log-Normal   Cox, Log-Normal    FALSE #> 11366  711 0.6439905 0.167360644  fv Log-Normal   Cox, Log-Normal    FALSE #> 11382  712 0.6767084 0.108127089  fv Log-Normal   Cox, Log-Normal    FALSE #> 11398  713 1.0129778 0.274729370  fv Log-Normal   Cox, Log-Normal     TRUE #> 11414  714 0.8089406 0.174250652  fv Log-Normal   Cox, Log-Normal    FALSE #> 11430  715 0.8597580 0.165342420  fv Log-Normal   Cox, Log-Normal    FALSE #> 11446  716 0.7624100 0.134839371  fv Log-Normal   Cox, Log-Normal    FALSE #> 11462  717 0.8249533 0.167079927  fv Log-Normal   Cox, Log-Normal    FALSE #> 11478  718 0.8576847 0.162024555  fv Log-Normal   Cox, Log-Normal    FALSE #> 11494  719 0.9824621 0.237930201  fv Log-Normal   Cox, Log-Normal     TRUE #> 11510  720 0.7869505 0.125298604  fv Log-Normal   Cox, Log-Normal    FALSE #> 11526  721 0.6114592 0.138309040  fv Log-Normal   Cox, Log-Normal    FALSE #> 11542  722 0.8040976 0.146430602  fv Log-Normal   Cox, Log-Normal    FALSE #> 11558  723 0.6317170 0.117974648  fv Log-Normal   Cox, Log-Normal    FALSE #> 11574  724 0.7495479 0.173784769  fv Log-Normal   Cox, Log-Normal    FALSE #> 11590  725 0.7586515 0.141571771  fv Log-Normal   Cox, Log-Normal    FALSE #> 11606  726 0.6758165 0.142506550  fv Log-Normal   Cox, Log-Normal    FALSE #> 11622  727 0.7878067 0.116750587  fv Log-Normal   Cox, Log-Normal    FALSE #> 11638  728 1.0293747 0.182526831  fv Log-Normal   Cox, Log-Normal    FALSE #> 11654  729 0.7858074 0.152231699  fv Log-Normal   Cox, Log-Normal    FALSE #> 11670  730 0.8523065 0.177705684  fv Log-Normal   Cox, Log-Normal    FALSE #> 11686  731 0.5676312 0.154710463  fv Log-Normal   Cox, Log-Normal    FALSE #> 11702  732 0.4997332 0.136812917  fv Log-Normal   Cox, Log-Normal    FALSE #> 11718  733 0.9890456 0.207143362  fv Log-Normal   Cox, Log-Normal    FALSE #> 11734  734 0.8982896 0.180036540  fv Log-Normal   Cox, Log-Normal    FALSE #> 11750  735 1.0022962 0.154539597  fv Log-Normal   Cox, Log-Normal    FALSE #> 11766  736 0.8541157 0.183590550  fv Log-Normal   Cox, Log-Normal    FALSE #> 11782  737 0.7416449 0.113810433  fv Log-Normal   Cox, Log-Normal    FALSE #> 11798  738 0.5320803 0.105301645  fv Log-Normal   Cox, Log-Normal    FALSE #> 11814  739 0.6012800 0.128194651  fv Log-Normal   Cox, Log-Normal    FALSE #> 11830  740 0.8138247 0.152345638  fv Log-Normal   Cox, Log-Normal    FALSE #> 11846  741 1.0145235 0.181258293  fv Log-Normal   Cox, Log-Normal    FALSE #> 11862  742 0.6611129 0.120578274  fv Log-Normal   Cox, Log-Normal    FALSE #> 11878  743 0.7645426 0.114386181  fv Log-Normal   Cox, Log-Normal    FALSE #> 11894  744 0.7905449 0.201901154  fv Log-Normal   Cox, Log-Normal    FALSE #> 11910  745 0.7800280 0.154382410  fv Log-Normal   Cox, Log-Normal    FALSE #> 11926  746 0.5983568 0.171488391  fv Log-Normal   Cox, Log-Normal    FALSE #> 11942  747 0.6553279 0.126681997  fv Log-Normal   Cox, Log-Normal    FALSE #> 11958  748 0.8596291 0.190755108  fv Log-Normal   Cox, Log-Normal    FALSE #> 11974  749 0.9163101 0.186289412  fv Log-Normal   Cox, Log-Normal    FALSE #> 11990  750 0.7524690 0.142892311  fv Log-Normal   Cox, Log-Normal    FALSE #> 12006  751 0.8953943 0.163271302  fv Log-Normal   Cox, Log-Normal    FALSE #> 12022  752 0.6902168 0.167689577  fv Log-Normal   Cox, Log-Normal    FALSE #> 12038  753 0.4443201 0.114075408  fv Log-Normal   Cox, Log-Normal    FALSE #> 12054  754 0.7877421 0.145197625  fv Log-Normal   Cox, Log-Normal    FALSE #> 12070  755 0.6689381 0.126865509  fv Log-Normal   Cox, Log-Normal    FALSE #> 12086  756 0.3785131 0.082873155  fv Log-Normal   Cox, Log-Normal     TRUE #> 12102  757 0.6779404 0.130786163  fv Log-Normal   Cox, Log-Normal    FALSE #> 12118  758 0.7746253 0.163500811  fv Log-Normal   Cox, Log-Normal    FALSE #> 12134  759 0.6781740 0.122448396  fv Log-Normal   Cox, Log-Normal    FALSE #> 12150  760 0.8695697 0.184253732  fv Log-Normal   Cox, Log-Normal    FALSE #> 12166  761 0.6318074 0.126609451  fv Log-Normal   Cox, Log-Normal    FALSE #> 12182  762 0.7612468 0.155081467  fv Log-Normal   Cox, Log-Normal    FALSE #> 12198  763 0.5637018 0.111824322  fv Log-Normal   Cox, Log-Normal    FALSE #> 12214  764 0.6553212 0.114285817  fv Log-Normal   Cox, Log-Normal    FALSE #> 12230  765 0.9462467 0.163155624  fv Log-Normal   Cox, Log-Normal    FALSE #> 12246  766 0.6537097 0.106200814  fv Log-Normal   Cox, Log-Normal    FALSE #> 12262  767 0.8747035 0.162635548  fv Log-Normal   Cox, Log-Normal    FALSE #> 12278  768 0.5877160 0.115237900  fv Log-Normal   Cox, Log-Normal    FALSE #> 12294  769 1.0167998 0.184375254  fv Log-Normal   Cox, Log-Normal    FALSE #> 12310  770 0.6130030 0.145352310  fv Log-Normal   Cox, Log-Normal    FALSE #> 12326  771 0.5745927 0.203706310  fv Log-Normal   Cox, Log-Normal    FALSE #> 12342  772 0.5853131 0.110646970  fv Log-Normal   Cox, Log-Normal    FALSE #> 12358  773 0.5687756 0.134007492  fv Log-Normal   Cox, Log-Normal    FALSE #> 12374  774 0.7226932 0.149336319  fv Log-Normal   Cox, Log-Normal    FALSE #> 12390  775 0.6797903 0.122447722  fv Log-Normal   Cox, Log-Normal    FALSE #> 12406  776 0.6853206 0.109785022  fv Log-Normal   Cox, Log-Normal    FALSE #> 12422  777 0.6212015 0.129042772  fv Log-Normal   Cox, Log-Normal    FALSE #> 12438  778 0.7164382 0.234844057  fv Log-Normal   Cox, Log-Normal     TRUE #> 12454  779 0.6742564 0.143043418  fv Log-Normal   Cox, Log-Normal    FALSE #> 12470  780 0.6170242 0.105097932  fv Log-Normal   Cox, Log-Normal    FALSE #> 12486  781 0.7318112 0.142735071  fv Log-Normal   Cox, Log-Normal    FALSE #> 12502  782 0.6610061 0.135449920  fv Log-Normal   Cox, Log-Normal    FALSE #> 12518  783 0.6278950 0.104305213  fv Log-Normal   Cox, Log-Normal    FALSE #> 12534  784 0.8094113 0.169945752  fv Log-Normal   Cox, Log-Normal    FALSE #> 12550  785 0.4946073 0.092835822  fv Log-Normal   Cox, Log-Normal    FALSE #> 12566  786 0.6267274 0.128041392  fv Log-Normal   Cox, Log-Normal    FALSE #> 12582  787 1.0178487 0.161660428  fv Log-Normal   Cox, Log-Normal    FALSE #> 12598  788 0.7008192 0.129005706  fv Log-Normal   Cox, Log-Normal    FALSE #> 12614  789 0.9344409 0.209106923  fv Log-Normal   Cox, Log-Normal    FALSE #> 12630  790 0.7454167 0.158623779  fv Log-Normal   Cox, Log-Normal    FALSE #> 12646  791 0.4161568 0.067941163  fv Log-Normal   Cox, Log-Normal     TRUE #> 12662  792 0.5456873 0.127448237  fv Log-Normal   Cox, Log-Normal    FALSE #> 12678  793 0.8498802 0.152802063  fv Log-Normal   Cox, Log-Normal    FALSE #> 12694  794 0.6776564 0.170730758  fv Log-Normal   Cox, Log-Normal    FALSE #> 12710  795 0.6364088 0.114399391  fv Log-Normal   Cox, Log-Normal    FALSE #> 12726  796 0.6120280 0.123040994  fv Log-Normal   Cox, Log-Normal    FALSE #> 12742  797 0.6868664 0.174130114  fv Log-Normal   Cox, Log-Normal    FALSE #> 12758  798 0.4111110 0.073952807  fv Log-Normal   Cox, Log-Normal     TRUE #> 12774  799 0.7667146 0.131502219  fv Log-Normal   Cox, Log-Normal    FALSE #> 12790  800 0.7651482 0.172314768  fv Log-Normal   Cox, Log-Normal    FALSE #> 12806  801 0.9872713 0.175396964  fv Log-Normal   Cox, Log-Normal    FALSE #> 12822  802 0.7981148 0.154386226  fv Log-Normal   Cox, Log-Normal    FALSE #> 12838  803 0.6583993 0.114725176  fv Log-Normal   Cox, Log-Normal    FALSE #> 12854  804 0.7555532 0.134524463  fv Log-Normal   Cox, Log-Normal    FALSE #> 12870  805 0.8249342 0.224337487  fv Log-Normal   Cox, Log-Normal     TRUE #> 12886  806 0.7903732 0.194773703  fv Log-Normal   Cox, Log-Normal    FALSE #> 12902  807 0.6441408 0.165412856  fv Log-Normal   Cox, Log-Normal    FALSE #> 12918  808 0.5046575 0.080358900  fv Log-Normal   Cox, Log-Normal    FALSE #> 12934  809 0.6864933 0.146661840  fv Log-Normal   Cox, Log-Normal    FALSE #> 12950  810 0.8124512 0.154133092  fv Log-Normal   Cox, Log-Normal    FALSE #> 12966  811 0.4692017 0.082645886  fv Log-Normal   Cox, Log-Normal    FALSE #> 12982  812 0.7250259 0.147300631  fv Log-Normal   Cox, Log-Normal    FALSE #> 12998  813 0.8814457 0.152466669  fv Log-Normal   Cox, Log-Normal    FALSE #> 13014  814 0.6852626 0.133497265  fv Log-Normal   Cox, Log-Normal    FALSE #> 13030  815 0.5973459 0.152294373  fv Log-Normal   Cox, Log-Normal    FALSE #> 13046  816 0.6997353 0.136317443  fv Log-Normal   Cox, Log-Normal    FALSE #> 13062  817 0.4710155 0.088285645  fv Log-Normal   Cox, Log-Normal    FALSE #> 13078  818 0.6451949 0.153857802  fv Log-Normal   Cox, Log-Normal    FALSE #> 13094  819 0.8337783 0.122400350  fv Log-Normal   Cox, Log-Normal    FALSE #> 13110  820 0.8563875 0.184562604  fv Log-Normal   Cox, Log-Normal    FALSE #> 13126  821 0.5642452 0.099701124  fv Log-Normal   Cox, Log-Normal    FALSE #> 13142  822 0.8848165 0.173698620  fv Log-Normal   Cox, Log-Normal    FALSE #> 13158  823 0.9679673 0.224333994  fv Log-Normal   Cox, Log-Normal     TRUE #> 13174  824 0.9169811 0.190827566  fv Log-Normal   Cox, Log-Normal    FALSE #> 13190  825 0.7620785 0.143634398  fv Log-Normal   Cox, Log-Normal    FALSE #> 13206  826 0.8129126 0.187223856  fv Log-Normal   Cox, Log-Normal    FALSE #> 13222  827 0.8913960 0.200847045  fv Log-Normal   Cox, Log-Normal    FALSE #> 13238  828 0.7526682 0.217873031  fv Log-Normal   Cox, Log-Normal    FALSE #> 13254  829 0.7129035 0.141271513  fv Log-Normal   Cox, Log-Normal    FALSE #> 13270  830 0.8093686 0.161447055  fv Log-Normal   Cox, Log-Normal    FALSE #> 13286  831 0.8728235 0.152899961  fv Log-Normal   Cox, Log-Normal    FALSE #> 13302  832 0.5911143 0.140956737  fv Log-Normal   Cox, Log-Normal    FALSE #> 13318  833 0.8823798 0.182578061  fv Log-Normal   Cox, Log-Normal    FALSE #> 13334  834 0.6489802 0.138432704  fv Log-Normal   Cox, Log-Normal    FALSE #> 13350  835 0.6823934 0.138367545  fv Log-Normal   Cox, Log-Normal    FALSE #> 13366  836 0.7826148 0.163460070  fv Log-Normal   Cox, Log-Normal    FALSE #> 13382  837 0.7736597 0.176327722  fv Log-Normal   Cox, Log-Normal    FALSE #> 13398  838 0.7054494 0.122169599  fv Log-Normal   Cox, Log-Normal    FALSE #> 13414  839 0.5919390 0.130336343  fv Log-Normal   Cox, Log-Normal    FALSE #> 13430  840 0.6180481 0.108543993  fv Log-Normal   Cox, Log-Normal    FALSE #> 13446  841 0.9302992 0.196914198  fv Log-Normal   Cox, Log-Normal    FALSE #> 13462  842 0.5602323 0.109237597  fv Log-Normal   Cox, Log-Normal    FALSE #> 13478  843 0.6748513 0.144994565  fv Log-Normal   Cox, Log-Normal    FALSE #> 13494  844 0.9129811 0.159326671  fv Log-Normal   Cox, Log-Normal    FALSE #> 13510  845 0.9877512 0.201813260  fv Log-Normal   Cox, Log-Normal    FALSE #> 13526  846 0.5533760 0.112530844  fv Log-Normal   Cox, Log-Normal    FALSE #> 13542  847 1.0264997 0.158287594  fv Log-Normal   Cox, Log-Normal    FALSE #> 13558  848 0.8399707 0.148734031  fv Log-Normal   Cox, Log-Normal    FALSE #> 13574  849 0.6201535 0.111310526  fv Log-Normal   Cox, Log-Normal    FALSE #> 13590  850 0.8142559 0.145644218  fv Log-Normal   Cox, Log-Normal    FALSE #> 13606  851 0.7006251 0.122041091  fv Log-Normal   Cox, Log-Normal    FALSE #> 13622  852 0.7511030 0.133087367  fv Log-Normal   Cox, Log-Normal    FALSE #> 13638  853 1.0390655 0.145203301  fv Log-Normal   Cox, Log-Normal    FALSE #> 13654  854 0.7097626 0.174226283  fv Log-Normal   Cox, Log-Normal    FALSE #> 13670  855 0.6546727 0.164479144  fv Log-Normal   Cox, Log-Normal    FALSE #> 13686  856 0.8742938 0.176632638  fv Log-Normal   Cox, Log-Normal    FALSE #> 13702  857 0.8235076 0.201058874  fv Log-Normal   Cox, Log-Normal    FALSE #> 13718  858 1.0655379 0.200597120  fv Log-Normal   Cox, Log-Normal     TRUE #> 13734  859 0.9019343 0.175412623  fv Log-Normal   Cox, Log-Normal    FALSE #> 13750  860 0.6622603 0.126053239  fv Log-Normal   Cox, Log-Normal    FALSE #> 13766  861 0.4665198 0.077897819  fv Log-Normal   Cox, Log-Normal    FALSE #> 13782  862 0.6543993 0.124272472  fv Log-Normal   Cox, Log-Normal    FALSE #> 13798  863 0.6978115 0.134982065  fv Log-Normal   Cox, Log-Normal    FALSE #> 13814  864 0.9283803 0.173095332  fv Log-Normal   Cox, Log-Normal    FALSE #> 13830  865 0.9136195 0.174912207  fv Log-Normal   Cox, Log-Normal    FALSE #> 13846  866 0.7371495 0.158525534  fv Log-Normal   Cox, Log-Normal    FALSE #> 13862  867 0.6008699 0.124295016  fv Log-Normal   Cox, Log-Normal    FALSE #> 13878  868 0.8928902 0.189023552  fv Log-Normal   Cox, Log-Normal    FALSE #> 13894  869 0.5323448 0.094885987  fv Log-Normal   Cox, Log-Normal    FALSE #> 13910  870 0.7740212 0.153614509  fv Log-Normal   Cox, Log-Normal    FALSE #> 13926  871 0.5040690 0.094185702  fv Log-Normal   Cox, Log-Normal    FALSE #> 13942  872 0.4682306 0.082330866  fv Log-Normal   Cox, Log-Normal    FALSE #> 13958  873 0.8744887 0.139709149  fv Log-Normal   Cox, Log-Normal    FALSE #> 13974  874 0.7783567 0.192580753  fv Log-Normal   Cox, Log-Normal    FALSE #> 13990  875 0.6773657 0.139640942  fv Log-Normal   Cox, Log-Normal    FALSE #> 14006  876 0.6165045 0.121485821  fv Log-Normal   Cox, Log-Normal    FALSE #> 14022  877 0.5859028 0.131899842  fv Log-Normal   Cox, Log-Normal    FALSE #> 14038  878 0.6917847 0.157165569  fv Log-Normal   Cox, Log-Normal    FALSE #> 14054  879 0.6977268 0.137740612  fv Log-Normal   Cox, Log-Normal    FALSE #> 14070  880 0.8483322 0.141854241  fv Log-Normal   Cox, Log-Normal    FALSE #> 14086  881 0.5661982 0.102733370  fv Log-Normal   Cox, Log-Normal    FALSE #> 14102  882 0.7169868 0.152447981  fv Log-Normal   Cox, Log-Normal    FALSE #> 14118  883 0.6447592 0.153543953  fv Log-Normal   Cox, Log-Normal    FALSE #> 14134  884 0.5975498 0.128517356  fv Log-Normal   Cox, Log-Normal    FALSE #> 14150  885 0.7782512 0.162836252  fv Log-Normal   Cox, Log-Normal    FALSE #> 14166  886 0.6628296 0.148932066  fv Log-Normal   Cox, Log-Normal    FALSE #> 14182  887 0.3830570 0.087415331  fv Log-Normal   Cox, Log-Normal     TRUE #> 14198  888 0.6791310 0.150167427  fv Log-Normal   Cox, Log-Normal    FALSE #> 14214  889 0.7780627 0.203727025  fv Log-Normal   Cox, Log-Normal    FALSE #> 14230  890 0.7108866 0.125667784  fv Log-Normal   Cox, Log-Normal    FALSE #> 14246  891 0.7540428 0.144451491  fv Log-Normal   Cox, Log-Normal    FALSE #> 14262  892 1.0121293 0.224929443  fv Log-Normal   Cox, Log-Normal     TRUE #> 14278  893 0.4956099 0.115792086  fv Log-Normal   Cox, Log-Normal    FALSE #> 14294  894 0.5889320 0.111970124  fv Log-Normal   Cox, Log-Normal    FALSE #> 14310  895 0.8335347 0.185574046  fv Log-Normal   Cox, Log-Normal    FALSE #> 14326  896 0.6037923 0.156766168  fv Log-Normal   Cox, Log-Normal    FALSE #> 14342  897 0.6843269 0.122402774  fv Log-Normal   Cox, Log-Normal    FALSE #> 14358  898 0.9409321 0.285299319  fv Log-Normal   Cox, Log-Normal     TRUE #> 14374  899 0.9418146 0.342156384  fv Log-Normal   Cox, Log-Normal     TRUE #> 14390  900 0.7374075 0.157498955  fv Log-Normal   Cox, Log-Normal    FALSE #> 14406  901 0.7858528 0.120999175  fv Log-Normal   Cox, Log-Normal    FALSE #> 14422  902 0.8540252 0.162479893  fv Log-Normal   Cox, Log-Normal    FALSE #> 14438  903 0.5849627 0.125627421  fv Log-Normal   Cox, Log-Normal    FALSE #> 14454  904 0.7057806 0.149798576  fv Log-Normal   Cox, Log-Normal    FALSE #> 14470  905 0.7357375 0.126263556  fv Log-Normal   Cox, Log-Normal    FALSE #> 14486  906 0.7226696 0.143793789  fv Log-Normal   Cox, Log-Normal    FALSE #> 14502  907 0.6382255 0.144489887  fv Log-Normal   Cox, Log-Normal    FALSE #> 14518  908 0.5633960 0.116541748  fv Log-Normal   Cox, Log-Normal    FALSE #> 14534  909 0.9533251 0.171236085  fv Log-Normal   Cox, Log-Normal    FALSE #> 14550  910 0.6853516 0.148763485  fv Log-Normal   Cox, Log-Normal    FALSE #> 14566  911 0.6876648 0.117291524  fv Log-Normal   Cox, Log-Normal    FALSE #> 14582  912 0.3920258 0.067947080  fv Log-Normal   Cox, Log-Normal     TRUE #> 14598  913 0.6137430 0.109088353  fv Log-Normal   Cox, Log-Normal    FALSE #> 14614  914 0.8636100 0.164033956  fv Log-Normal   Cox, Log-Normal    FALSE #> 14630  915 0.6906558 0.126734273  fv Log-Normal   Cox, Log-Normal    FALSE #> 14646  916 0.7289457 0.129897014  fv Log-Normal   Cox, Log-Normal    FALSE #> 14662  917 0.5314274 0.129139130  fv Log-Normal   Cox, Log-Normal    FALSE #> 14678  918 0.5742138 0.121553839  fv Log-Normal   Cox, Log-Normal    FALSE #> 14694  919 0.6544943 0.119380355  fv Log-Normal   Cox, Log-Normal    FALSE #> 14710  920 0.6868399 0.113637131  fv Log-Normal   Cox, Log-Normal    FALSE #> 14726  921 1.1773278 0.226105941  fv Log-Normal   Cox, Log-Normal     TRUE #> 14742  922 0.6144325 0.114228710  fv Log-Normal   Cox, Log-Normal    FALSE #> 14758  923 1.0843000 0.228582600  fv Log-Normal   Cox, Log-Normal     TRUE #> 14774  924 0.6749561 0.128183794  fv Log-Normal   Cox, Log-Normal    FALSE #> 14790  925 0.7478889 0.156179177  fv Log-Normal   Cox, Log-Normal    FALSE #> 14806  926 0.9518760 0.174183082  fv Log-Normal   Cox, Log-Normal    FALSE #> 14822  927 0.8086761 0.157608442  fv Log-Normal   Cox, Log-Normal    FALSE #> 14838  928 0.6843932 0.138396866  fv Log-Normal   Cox, Log-Normal    FALSE #> 14854  929 0.7647168 0.139036563  fv Log-Normal   Cox, Log-Normal    FALSE #> 14870  930 0.5777332 0.125461849  fv Log-Normal   Cox, Log-Normal    FALSE #> 14886  931 0.8122488 0.151665716  fv Log-Normal   Cox, Log-Normal    FALSE #> 14902  932 0.5420925 0.116762834  fv Log-Normal   Cox, Log-Normal    FALSE #> 14918  933 0.5739756 0.094085379  fv Log-Normal   Cox, Log-Normal    FALSE #> 14934  934 0.6826506 0.151986119  fv Log-Normal   Cox, Log-Normal    FALSE #> 14950  935 0.8998188 0.151748807  fv Log-Normal   Cox, Log-Normal    FALSE #> 14966  936 0.6997538 0.130621651  fv Log-Normal   Cox, Log-Normal    FALSE #> 14982  937 0.8472782 0.151815981  fv Log-Normal   Cox, Log-Normal    FALSE #> 14998  938 0.9004974 0.178529342  fv Log-Normal   Cox, Log-Normal    FALSE #> 15014  939 0.5682556 0.086970214  fv Log-Normal   Cox, Log-Normal    FALSE #> 15030  940 0.8662010 0.228227941  fv Log-Normal   Cox, Log-Normal     TRUE #> 15046  941 0.4726126 0.093706557  fv Log-Normal   Cox, Log-Normal    FALSE #> 15062  942 0.8714100 0.165388066  fv Log-Normal   Cox, Log-Normal    FALSE #> 15078  943 0.5203635 0.076183783  fv Log-Normal   Cox, Log-Normal    FALSE #> 15094  944 0.6583700 0.114715236  fv Log-Normal   Cox, Log-Normal    FALSE #> 15110  945 1.0014192 0.198006785  fv Log-Normal   Cox, Log-Normal    FALSE #> 15126  946 0.8283976 0.138699106  fv Log-Normal   Cox, Log-Normal    FALSE #> 15142  947 0.8336294 0.130080513  fv Log-Normal   Cox, Log-Normal    FALSE #> 15158  948 0.4624278 0.106368903  fv Log-Normal   Cox, Log-Normal    FALSE #> 15174  949 0.7755816 0.201619990  fv Log-Normal   Cox, Log-Normal    FALSE #> 15190  950 0.7749094 0.131061734  fv Log-Normal   Cox, Log-Normal    FALSE #> 15206  951 0.5867880 0.126974333  fv Log-Normal   Cox, Log-Normal    FALSE #> 15222  952 0.6279933 0.113401628  fv Log-Normal   Cox, Log-Normal    FALSE #> 15238  953 0.6028978 0.127851761  fv Log-Normal   Cox, Log-Normal    FALSE #> 15254  954 0.8198247 0.196525947  fv Log-Normal   Cox, Log-Normal    FALSE #> 15270  955 0.7011257 0.118020695  fv Log-Normal   Cox, Log-Normal    FALSE #> 15286  956 0.8909384 0.147092482  fv Log-Normal   Cox, Log-Normal    FALSE #> 15302  957 0.6256487 0.123780844  fv Log-Normal   Cox, Log-Normal    FALSE #> 15318  958 0.6012760 0.127411782  fv Log-Normal   Cox, Log-Normal    FALSE #> 15334  959 0.6842127 0.110349251  fv Log-Normal   Cox, Log-Normal    FALSE #> 15350  960 0.5962401 0.132639556  fv Log-Normal   Cox, Log-Normal    FALSE #> 15366  961 0.8256761 0.134731038  fv Log-Normal   Cox, Log-Normal    FALSE #> 15382  962 0.8480599 0.146238080  fv Log-Normal   Cox, Log-Normal    FALSE #> 15398  963 0.8964273 0.190800209  fv Log-Normal   Cox, Log-Normal    FALSE #> 15414  964 0.6844403 0.155462521  fv Log-Normal   Cox, Log-Normal    FALSE #> 15430  965 0.5646155 0.099615793  fv Log-Normal   Cox, Log-Normal    FALSE #> 15446  966 1.0564302 0.173266059  fv Log-Normal   Cox, Log-Normal     TRUE #> 15462  967 0.8965299 0.184549026  fv Log-Normal   Cox, Log-Normal    FALSE #> 15478  968 0.8387679 0.191014624  fv Log-Normal   Cox, Log-Normal    FALSE #> 15494  969 1.0086294 0.181030289  fv Log-Normal   Cox, Log-Normal    FALSE #> 15510  970 0.7743469 0.160146415  fv Log-Normal   Cox, Log-Normal    FALSE #> 15526  971 0.9588093 0.163447254  fv Log-Normal   Cox, Log-Normal    FALSE #> 15542  972 0.6142044 0.129972343  fv Log-Normal   Cox, Log-Normal    FALSE #> 15558  973 0.9177821 0.145918328  fv Log-Normal   Cox, Log-Normal    FALSE #> 15574  974 0.9095060 0.166708944  fv Log-Normal   Cox, Log-Normal    FALSE #> 15590  975 1.0452709 0.179306204  fv Log-Normal   Cox, Log-Normal     TRUE #> 15606  976 0.8166536 0.248030345  fv Log-Normal   Cox, Log-Normal     TRUE #> 15622  977 1.1346207 0.218925064  fv Log-Normal   Cox, Log-Normal     TRUE #> 15638  978 0.8376048 0.216970640  fv Log-Normal   Cox, Log-Normal    FALSE #> 15654  979 0.6250216 0.119316195  fv Log-Normal   Cox, Log-Normal    FALSE #> 15670  980 0.8403925 0.203135178  fv Log-Normal   Cox, Log-Normal    FALSE #> 15686  981 0.6682226 0.111181799  fv Log-Normal   Cox, Log-Normal    FALSE #> 15702  982 0.7057857 0.165757380  fv Log-Normal   Cox, Log-Normal    FALSE #> 15718  983 0.7389994 0.128759268  fv Log-Normal   Cox, Log-Normal    FALSE #> 15734  984 0.6410471 0.118385691  fv Log-Normal   Cox, Log-Normal    FALSE #> 15750  985 0.8274032 0.154219628  fv Log-Normal   Cox, Log-Normal    FALSE #> 15766  986 0.7677255 0.160069092  fv Log-Normal   Cox, Log-Normal    FALSE #> 15782  987 0.6687190 0.167108475  fv Log-Normal   Cox, Log-Normal    FALSE #> 15798  988 0.8994325 0.141177294  fv Log-Normal   Cox, Log-Normal    FALSE #> 15814  989 0.9739533 0.164384471  fv Log-Normal   Cox, Log-Normal    FALSE #> 15830  990 0.7007834 0.125967616  fv Log-Normal   Cox, Log-Normal    FALSE #> 15846  991 0.7971769 0.144583688  fv Log-Normal   Cox, Log-Normal    FALSE #> 15862  992 0.7144825 0.127981863  fv Log-Normal   Cox, Log-Normal    FALSE #> 15878  993 0.7552077 0.121304392  fv Log-Normal   Cox, Log-Normal    FALSE #> 15894  994 0.6920912 0.164611440  fv Log-Normal   Cox, Log-Normal    FALSE #> 15910  995 0.6370552 0.159854672  fv Log-Normal   Cox, Log-Normal    FALSE #> 15926  996 0.7158013 0.157550693  fv Log-Normal   Cox, Log-Normal    FALSE #> 15942  997 0.7112983 0.119441114  fv Log-Normal   Cox, Log-Normal    FALSE #> 15958  998 0.6493443 0.159161298  fv Log-Normal   Cox, Log-Normal    FALSE #> 15974  999 0.8004319 0.155806429  fv Log-Normal   Cox, Log-Normal    FALSE #> 15990 1000 0.7192738 0.144032838  fv Log-Normal   Cox, Log-Normal    FALSE #> 7        1 0.6405455 0.122690524  fv Log-Normal      RP(P), Gamma    FALSE #> 23       2 0.6040462 0.117656180  fv Log-Normal      RP(P), Gamma    FALSE #> 39       3 0.8022026 0.152352601  fv Log-Normal      RP(P), Gamma    FALSE #> 55       4 0.5259592 0.103211324  fv Log-Normal      RP(P), Gamma    FALSE #> 71       5 0.7983299 0.149019874  fv Log-Normal      RP(P), Gamma    FALSE #> 87       6 0.6887647 0.130581125  fv Log-Normal      RP(P), Gamma    FALSE #> 103      7 0.5143373 0.100826891  fv Log-Normal      RP(P), Gamma    FALSE #> 119      8 0.7636843 0.144723641  fv Log-Normal      RP(P), Gamma    FALSE #> 135      9 0.6642983 0.127490449  fv Log-Normal      RP(P), Gamma    FALSE #> 151     10 0.8292666 0.155612348  fv Log-Normal      RP(P), Gamma    FALSE #> 167     11 0.7870963 0.147766260  fv Log-Normal      RP(P), Gamma    FALSE #> 183     12 0.5128538 0.101130755  fv Log-Normal      RP(P), Gamma    FALSE #> 199     13 0.7531485 0.143377407  fv Log-Normal      RP(P), Gamma    FALSE #> 215     14 0.6331756 0.120852213  fv Log-Normal      RP(P), Gamma    FALSE #> 231     15 0.6426603 0.123809994  fv Log-Normal      RP(P), Gamma    FALSE #> 247     16 0.5322474 0.105162595  fv Log-Normal      RP(P), Gamma    FALSE #> 263     17 0.6467134 0.126503719  fv Log-Normal      RP(P), Gamma    FALSE #> 279     18 0.6943998 0.131886091  fv Log-Normal      RP(P), Gamma    FALSE #> 295     19 0.7899824 0.147933146  fv Log-Normal      RP(P), Gamma    FALSE #> 311     20 0.5484487 0.107786986  fv Log-Normal      RP(P), Gamma    FALSE #> 327     21 0.6161933 0.119855712  fv Log-Normal      RP(P), Gamma    FALSE #> 343     22 0.5040710 0.098879998  fv Log-Normal      RP(P), Gamma    FALSE #> 359     23 0.8877674 0.167618206  fv Log-Normal      RP(P), Gamma    FALSE #> 375     24 0.6757630 0.128886073  fv Log-Normal      RP(P), Gamma    FALSE #> 391     25 0.5307117 0.103738093  fv Log-Normal      RP(P), Gamma    FALSE #> 407     26 0.6429191 0.123298527  fv Log-Normal      RP(P), Gamma    FALSE #> 423     27 0.4611677 0.092589138  fv Log-Normal      RP(P), Gamma    FALSE #> 439     28 0.6456617 0.124703184  fv Log-Normal      RP(P), Gamma    FALSE #> 455     29 0.9326416 0.171576792  fv Log-Normal      RP(P), Gamma     TRUE #> 471     30 0.5693105 0.110689741  fv Log-Normal      RP(P), Gamma    FALSE #> 487     31 0.5125629 0.101588852  fv Log-Normal      RP(P), Gamma    FALSE #> 503     32 0.5118841 0.101147723  fv Log-Normal      RP(P), Gamma    FALSE #> 519     33 0.6618378 0.126871990  fv Log-Normal      RP(P), Gamma    FALSE #> 535     34 0.8797795 0.165259342  fv Log-Normal      RP(P), Gamma    FALSE #> 551     35 0.5063559 0.102207355  fv Log-Normal      RP(P), Gamma    FALSE #> 567     36 0.4635876 0.092513305  fv Log-Normal      RP(P), Gamma    FALSE #> 583     37 0.6395122 0.123631418  fv Log-Normal      RP(P), Gamma    FALSE #> 599     38 0.6075237 0.118657265  fv Log-Normal      RP(P), Gamma    FALSE #> 615     39 0.7176400 0.137133349  fv Log-Normal      RP(P), Gamma    FALSE #> 631     40 0.5781112 0.116042341  fv Log-Normal      RP(P), Gamma    FALSE #> 647     41 0.6542709 0.124754965  fv Log-Normal      RP(P), Gamma    FALSE #> 663     42 0.5154684 0.101882146  fv Log-Normal      RP(P), Gamma    FALSE #> 679     43 0.4670205 0.092725837  fv Log-Normal      RP(P), Gamma    FALSE #> 695     44 0.6203867 0.118800155  fv Log-Normal      RP(P), Gamma    FALSE #> 711     45 0.5393777 0.105195798  fv Log-Normal      RP(P), Gamma    FALSE #> 727     46 0.3151313 0.065214531  fv Log-Normal      RP(P), Gamma     TRUE #> 743     47 0.7594989 0.142998177  fv Log-Normal      RP(P), Gamma    FALSE #> 759     48 0.8276292 0.156727119  fv Log-Normal      RP(P), Gamma    FALSE #> 775     49 0.8478641 0.158244438  fv Log-Normal      RP(P), Gamma    FALSE #> 791     50 0.5475928 0.107331065  fv Log-Normal      RP(P), Gamma    FALSE #> 807     51 0.6844050 0.129691061  fv Log-Normal      RP(P), Gamma    FALSE #> 823     52 0.4849833 0.096565419  fv Log-Normal      RP(P), Gamma    FALSE #> 839     53 0.8506738 0.158927483  fv Log-Normal      RP(P), Gamma    FALSE #> 855     54 0.6258808 0.120694285  fv Log-Normal      RP(P), Gamma    FALSE #> 871     55 0.8334571 0.156035069  fv Log-Normal      RP(P), Gamma    FALSE #> 887     56 0.7883870 0.150629653  fv Log-Normal      RP(P), Gamma    FALSE #> 903     57 0.8198680 0.154099203  fv Log-Normal      RP(P), Gamma    FALSE #> 919     58 0.7046033 0.135489320  fv Log-Normal      RP(P), Gamma    FALSE #> 935     59 0.6362143 0.122087484  fv Log-Normal      RP(P), Gamma    FALSE #> 951     60 0.8194371 0.153940246  fv Log-Normal      RP(P), Gamma    FALSE #> 967     61 0.7165910 0.137115513  fv Log-Normal      RP(P), Gamma    FALSE #> 983     62 0.6072289 0.118534620  fv Log-Normal      RP(P), Gamma    FALSE #> 999     63 0.7813425 0.147824198  fv Log-Normal      RP(P), Gamma    FALSE #> 1015    64 0.6962526 0.132885352  fv Log-Normal      RP(P), Gamma    FALSE #> 1031    65 0.9532066 0.179257953  fv Log-Normal      RP(P), Gamma     TRUE #> 1047    66 0.5446300 0.106323243  fv Log-Normal      RP(P), Gamma    FALSE #> 1063    67 0.5523958 0.108439867  fv Log-Normal      RP(P), Gamma    FALSE #> 1079    68 0.4935455 0.098591049  fv Log-Normal      RP(P), Gamma    FALSE #> 1095    69 0.7293272 0.138575438  fv Log-Normal      RP(P), Gamma    FALSE #> 1111    70 0.6433089 0.123090851  fv Log-Normal      RP(P), Gamma    FALSE #> 1127    71 0.8654650 0.161985674  fv Log-Normal      RP(P), Gamma    FALSE #> 1143    72 0.5596582 0.109600090  fv Log-Normal      RP(P), Gamma    FALSE #> 1159    73 0.6080334 0.117616590  fv Log-Normal      RP(P), Gamma    FALSE #> 1175    74 0.4192212 0.085190539  fv Log-Normal      RP(P), Gamma    FALSE #> 1191    75 0.6459502 0.123937508  fv Log-Normal      RP(P), Gamma    FALSE #> 1207    76 0.5317111 0.103568281  fv Log-Normal      RP(P), Gamma    FALSE #> 1223    77 0.8201123 0.155989547  fv Log-Normal      RP(P), Gamma    FALSE #> 1239    78 0.7324703 0.140075929  fv Log-Normal      RP(P), Gamma    FALSE #> 1255    79 0.9938648 0.182439175  fv Log-Normal      RP(P), Gamma     TRUE #> 1271    80 0.5406339 0.105944290  fv Log-Normal      RP(P), Gamma    FALSE #> 1287    81 0.8194269 0.152455464  fv Log-Normal      RP(P), Gamma    FALSE #> 1303    82 0.6005756 0.115909588  fv Log-Normal      RP(P), Gamma    FALSE #> 1319    83 0.6898550 0.131609094  fv Log-Normal      RP(P), Gamma    FALSE #> 1335    84 0.5667630 0.110642783  fv Log-Normal      RP(P), Gamma    FALSE #> 1351    85 0.6773712 0.132784297  fv Log-Normal      RP(P), Gamma    FALSE #> 1367    86 0.5699243 0.113421403  fv Log-Normal      RP(P), Gamma    FALSE #> 1383    87 0.6537014 0.126044444  fv Log-Normal      RP(P), Gamma    FALSE #> 1399    88 0.6600437 0.127234347  fv Log-Normal      RP(P), Gamma    FALSE #> 1415    89 0.9099395 0.169648022  fv Log-Normal      RP(P), Gamma     TRUE #> 1431    90 0.7941829 0.150612563  fv Log-Normal      RP(P), Gamma    FALSE #> 1447    91 0.7956442 0.149468843  fv Log-Normal      RP(P), Gamma    FALSE #> 1463    92 0.7891605 0.150545862  fv Log-Normal      RP(P), Gamma    FALSE #> 1479    93 0.5507555 0.107524863  fv Log-Normal      RP(P), Gamma    FALSE #> 1495    94 0.6893063 0.131615461  fv Log-Normal      RP(P), Gamma    FALSE #> 1511    95 0.6382982 0.123572285  fv Log-Normal      RP(P), Gamma    FALSE #> 1527    96 0.5046216 0.099786695  fv Log-Normal      RP(P), Gamma    FALSE #> 1543    97 0.7335341 0.140274698  fv Log-Normal      RP(P), Gamma    FALSE #> 1559    98 0.4142127 0.083239347  fv Log-Normal      RP(P), Gamma    FALSE #> 1575    99 0.6777154 0.128918607  fv Log-Normal      RP(P), Gamma    FALSE #> 1591   100 0.5891772 0.114720160  fv Log-Normal      RP(P), Gamma    FALSE #> 1607   101 0.5518648 0.107174335  fv Log-Normal      RP(P), Gamma    FALSE #> 1623   102 0.4756834 0.094711857  fv Log-Normal      RP(P), Gamma    FALSE #> 1639   103 0.7016967 0.133963829  fv Log-Normal      RP(P), Gamma    FALSE #> 1655   104 0.7084303 0.137263107  fv Log-Normal      RP(P), Gamma    FALSE #> 1671   105 0.5064685 0.102906578  fv Log-Normal      RP(P), Gamma    FALSE #> 1687   106 0.5857525 0.114320345  fv Log-Normal      RP(P), Gamma    FALSE #> 1703   107 0.6995063 0.132392724  fv Log-Normal      RP(P), Gamma    FALSE #> 1719   108 0.6165509 0.119326267  fv Log-Normal      RP(P), Gamma    FALSE #> 1735   109 0.8984590 0.168924157  fv Log-Normal      RP(P), Gamma    FALSE #> 1751   110 0.7971634 0.150429620  fv Log-Normal      RP(P), Gamma    FALSE #> 1767   111 0.6308884 0.123949462  fv Log-Normal      RP(P), Gamma    FALSE #> 1783   112 0.6636078 0.127316904  fv Log-Normal      RP(P), Gamma    FALSE #> 1799   113 0.7259975 0.136892504  fv Log-Normal      RP(P), Gamma    FALSE #> 1815   114 0.6262837 0.122125778  fv Log-Normal      RP(P), Gamma    FALSE #> 1831   115 0.6652682 0.127308897  fv Log-Normal      RP(P), Gamma    FALSE #> 1847   116 0.6770393 0.129129051  fv Log-Normal      RP(P), Gamma    FALSE #> 1863   117 0.7575098 0.143016176  fv Log-Normal      RP(P), Gamma    FALSE #> 1879   118 0.5399997 0.105372939  fv Log-Normal      RP(P), Gamma    FALSE #> 1895   119 0.5340591 0.104867540  fv Log-Normal      RP(P), Gamma    FALSE #> 1911   120 0.7487613 0.142422272  fv Log-Normal      RP(P), Gamma    FALSE #> 1927   121 0.6742231 0.129655167  fv Log-Normal      RP(P), Gamma    FALSE #> 1943   122 0.5368862 0.108010594  fv Log-Normal      RP(P), Gamma    FALSE #> 1959   123 0.4854876 0.096157026  fv Log-Normal      RP(P), Gamma    FALSE #> 1975   124 0.5249067 0.104010179  fv Log-Normal      RP(P), Gamma    FALSE #> 1991   125 0.4728895 0.093518687  fv Log-Normal      RP(P), Gamma    FALSE #> 2007   126 0.9488240 0.174441002  fv Log-Normal      RP(P), Gamma     TRUE #> 2023   127 0.4311185 0.086119704  fv Log-Normal      RP(P), Gamma    FALSE #> 2039   128 0.4413847 0.087730859  fv Log-Normal      RP(P), Gamma    FALSE #> 2055   129        NA          NA  fv Log-Normal      RP(P), Gamma       NA #> 2071   130 0.5336320 0.106231024  fv Log-Normal      RP(P), Gamma    FALSE #> 2087   131 0.5858983 0.113618046  fv Log-Normal      RP(P), Gamma    FALSE #> 2103   132 0.6742043 0.128792567  fv Log-Normal      RP(P), Gamma    FALSE #> 2119   133 0.8441107 0.157692189  fv Log-Normal      RP(P), Gamma    FALSE #> 2135   134 0.8722116 0.161293518  fv Log-Normal      RP(P), Gamma    FALSE #> 2151   135 0.6602743 0.128176844  fv Log-Normal      RP(P), Gamma    FALSE #> 2167   136 0.5612475 0.112751238  fv Log-Normal      RP(P), Gamma    FALSE #> 2183   137 0.4623204 0.092357534  fv Log-Normal      RP(P), Gamma    FALSE #> 2199   138 0.4908476 0.097235287  fv Log-Normal      RP(P), Gamma    FALSE #> 2215   139 0.6199716 0.119201745  fv Log-Normal      RP(P), Gamma    FALSE #> 2231   140 0.6891782 0.130965978  fv Log-Normal      RP(P), Gamma    FALSE #> 2247   141 0.4059617 0.082546224  fv Log-Normal      RP(P), Gamma    FALSE #> 2263   142 0.4534912 0.090599077  fv Log-Normal      RP(P), Gamma    FALSE #> 2279   143 0.5205738 0.101978989  fv Log-Normal      RP(P), Gamma    FALSE #> 2295   144 0.6658738 0.130280150  fv Log-Normal      RP(P), Gamma    FALSE #> 2311   145 0.4853461 0.095873172  fv Log-Normal      RP(P), Gamma    FALSE #> 2327   146 0.6720809 0.128706896  fv Log-Normal      RP(P), Gamma    FALSE #> 2343   147 0.6507118 0.128489909  fv Log-Normal      RP(P), Gamma    FALSE #> 2359   148 0.5095945 0.100822955  fv Log-Normal      RP(P), Gamma    FALSE #> 2375   149 0.3835714 0.078576851  fv Log-Normal      RP(P), Gamma    FALSE #> 2391   150 0.5016718 0.099016609  fv Log-Normal      RP(P), Gamma    FALSE #> 2407   151 0.8315877 0.156138668  fv Log-Normal      RP(P), Gamma    FALSE #> 2423   152 0.6110434 0.117965209  fv Log-Normal      RP(P), Gamma    FALSE #> 2439   153 0.7767963 0.147635467  fv Log-Normal      RP(P), Gamma    FALSE #> 2455   154 0.6464367 0.123675217  fv Log-Normal      RP(P), Gamma    FALSE #> 2471   155 0.9166992 0.171012178  fv Log-Normal      RP(P), Gamma     TRUE #> 2487   156 0.5371060 0.105038383  fv Log-Normal      RP(P), Gamma    FALSE #> 2503   157 0.5603420 0.109709264  fv Log-Normal      RP(P), Gamma    FALSE #> 2519   158 0.6131854 0.119373111  fv Log-Normal      RP(P), Gamma    FALSE #> 2535   159 0.6606685 0.127011784  fv Log-Normal      RP(P), Gamma    FALSE #> 2551   160 0.6082429 0.116880821  fv Log-Normal      RP(P), Gamma    FALSE #> 2567   161 0.8477261 0.159265826  fv Log-Normal      RP(P), Gamma    FALSE #> 2583   162 0.8610655 0.160638530  fv Log-Normal      RP(P), Gamma    FALSE #> 2599   163 0.5255327 0.102820821  fv Log-Normal      RP(P), Gamma    FALSE #> 2615   164 0.6363234 0.123177257  fv Log-Normal      RP(P), Gamma    FALSE #> 2631   165 0.4847113 0.095621852  fv Log-Normal      RP(P), Gamma    FALSE #> 2647   166 0.4273386 0.086136647  fv Log-Normal      RP(P), Gamma    FALSE #> 2663   167 0.6483222 0.124315665  fv Log-Normal      RP(P), Gamma    FALSE #> 2679   168 0.7464834 0.140802165  fv Log-Normal      RP(P), Gamma    FALSE #> 2695   169 0.6310328 0.122313242  fv Log-Normal      RP(P), Gamma    FALSE #> 2711   170 0.6614880 0.126258548  fv Log-Normal      RP(P), Gamma    FALSE #> 2727   171 0.7041851 0.133318185  fv Log-Normal      RP(P), Gamma    FALSE #> 2743   172 0.6398290 0.122342065  fv Log-Normal      RP(P), Gamma    FALSE #> 2759   173 0.7006805 0.134276835  fv Log-Normal      RP(P), Gamma    FALSE #> 2775   174 0.5291788 0.103456703  fv Log-Normal      RP(P), Gamma    FALSE #> 2791   175 0.7108273 0.135795471  fv Log-Normal      RP(P), Gamma    FALSE #> 2807   176 0.8661291 0.161557935  fv Log-Normal      RP(P), Gamma    FALSE #> 2823   177 0.6642310 0.126471594  fv Log-Normal      RP(P), Gamma    FALSE #> 2839   178 0.4796659 0.095097392  fv Log-Normal      RP(P), Gamma    FALSE #> 2855   179 0.7824077 0.146493201  fv Log-Normal      RP(P), Gamma    FALSE #> 2871   180 0.4968833 0.098150177  fv Log-Normal      RP(P), Gamma    FALSE #> 2887   181 0.6323696 0.121435745  fv Log-Normal      RP(P), Gamma    FALSE #> 2903   182 1.0216845 0.186453940  fv Log-Normal      RP(P), Gamma     TRUE #> 2919   183 0.6566254 0.127917698  fv Log-Normal      RP(P), Gamma    FALSE #> 2935   184 0.8214407 0.153256632  fv Log-Normal      RP(P), Gamma    FALSE #> 2951   185 0.7216302 0.137253976  fv Log-Normal      RP(P), Gamma    FALSE #> 2967   186 0.6969526 0.133055560  fv Log-Normal      RP(P), Gamma    FALSE #> 2983   187 0.6428409 0.124161801  fv Log-Normal      RP(P), Gamma    FALSE #> 2999   188 0.8407790 0.159841769  fv Log-Normal      RP(P), Gamma    FALSE #> 3015   189 0.6289527 0.121021866  fv Log-Normal      RP(P), Gamma    FALSE #> 3031   190 0.6326976 0.120915735  fv Log-Normal      RP(P), Gamma    FALSE #> 3047   191 0.6249393 0.120592489  fv Log-Normal      RP(P), Gamma    FALSE #> 3063   192 0.6598537 0.128466551  fv Log-Normal      RP(P), Gamma    FALSE #> 3079   193 0.6102061 0.117379674  fv Log-Normal      RP(P), Gamma    FALSE #> 3095   194 0.8914916 0.165672989  fv Log-Normal      RP(P), Gamma    FALSE #> 3111   195 0.5772301 0.113864924  fv Log-Normal      RP(P), Gamma    FALSE #> 3127   196 0.5383756 0.105235105  fv Log-Normal      RP(P), Gamma    FALSE #> 3143   197 0.6041119 0.116883514  fv Log-Normal      RP(P), Gamma    FALSE #> 3159   198 0.7005811 0.133773352  fv Log-Normal      RP(P), Gamma    FALSE #> 3175   199 0.4750485 0.094149962  fv Log-Normal      RP(P), Gamma    FALSE #> 3191   200 0.5370248 0.105409839  fv Log-Normal      RP(P), Gamma    FALSE #> 3207   201 0.7905997 0.148883784  fv Log-Normal      RP(P), Gamma    FALSE #> 3223   202 0.6263271 0.120314826  fv Log-Normal      RP(P), Gamma    FALSE #> 3239   203 0.5566798 0.108533443  fv Log-Normal      RP(P), Gamma    FALSE #> 3255   204 0.5878622 0.114038141  fv Log-Normal      RP(P), Gamma    FALSE #> 3271   205 0.5479470 0.106767841  fv Log-Normal      RP(P), Gamma    FALSE #> 3287   206 0.6715801 0.128670374  fv Log-Normal      RP(P), Gamma    FALSE #> 3303   207 0.8542152 0.163744329  fv Log-Normal      RP(P), Gamma    FALSE #> 3319   208 0.8157609 0.151809241  fv Log-Normal      RP(P), Gamma    FALSE #> 3335   209 0.5728611 0.111944591  fv Log-Normal      RP(P), Gamma    FALSE #> 3351   210 0.5943906 0.115022190  fv Log-Normal      RP(P), Gamma    FALSE #> 3367   211 0.7064552 0.134382106  fv Log-Normal      RP(P), Gamma    FALSE #> 3383   212 0.6689386 0.127628218  fv Log-Normal      RP(P), Gamma    FALSE #> 3399   213 0.5688727 0.111551542  fv Log-Normal      RP(P), Gamma    FALSE #> 3415   214 0.5600375 0.108774437  fv Log-Normal      RP(P), Gamma    FALSE #> 3431   215 0.6737893 0.131910998  fv Log-Normal      RP(P), Gamma    FALSE #> 3447   216 0.8405789 0.157041468  fv Log-Normal      RP(P), Gamma    FALSE #> 3463   217 0.6564690 0.126109444  fv Log-Normal      RP(P), Gamma    FALSE #> 3479   218 0.6246779 0.123646184  fv Log-Normal      RP(P), Gamma    FALSE #> 3495   219 0.8259887 0.156771669  fv Log-Normal      RP(P), Gamma    FALSE #> 3511   220 0.7024489 0.133066264  fv Log-Normal      RP(P), Gamma    FALSE #> 3527   221 0.5596475 0.109357114  fv Log-Normal      RP(P), Gamma    FALSE #> 3543   222 0.3319187 0.068263082  fv Log-Normal      RP(P), Gamma     TRUE #> 3559   223 0.4898847 0.096767377  fv Log-Normal      RP(P), Gamma    FALSE #> 3575   224 0.4907177 0.096440093  fv Log-Normal      RP(P), Gamma    FALSE #> 3591   225 0.7652595 0.144819052  fv Log-Normal      RP(P), Gamma    FALSE #> 3607   226 0.8552764 0.158589758  fv Log-Normal      RP(P), Gamma    FALSE #> 3623   227 0.6388617 0.122214127  fv Log-Normal      RP(P), Gamma    FALSE #> 3639   228 0.7198722 0.136042538  fv Log-Normal      RP(P), Gamma    FALSE #> 3655   229 0.3795975 0.077804857  fv Log-Normal      RP(P), Gamma     TRUE #> 3671   230 0.5809617 0.113716968  fv Log-Normal      RP(P), Gamma    FALSE #> 3687   231 0.5863665 0.113707295  fv Log-Normal      RP(P), Gamma    FALSE #> 3703   232 0.8032751 0.151280169  fv Log-Normal      RP(P), Gamma    FALSE #> 3719   233 0.8531541 0.160153943  fv Log-Normal      RP(P), Gamma    FALSE #> 3735   234 0.8495275 0.159594009  fv Log-Normal      RP(P), Gamma    FALSE #> 3751   235 0.4897131 0.096464651  fv Log-Normal      RP(P), Gamma    FALSE #> 3767   236 0.5762813 0.112345236  fv Log-Normal      RP(P), Gamma    FALSE #> 3783   237 0.5286123 0.104396860  fv Log-Normal      RP(P), Gamma    FALSE #> 3799   238 0.7811056 0.148031077  fv Log-Normal      RP(P), Gamma    FALSE #> 3815   239 0.8198879 0.155297026  fv Log-Normal      RP(P), Gamma    FALSE #> 3831   240 0.5414650 0.105722595  fv Log-Normal      RP(P), Gamma    FALSE #> 3847   241 0.6511463 0.125298011  fv Log-Normal      RP(P), Gamma    FALSE #> 3863   242 0.4836988 0.095465475  fv Log-Normal      RP(P), Gamma    FALSE #> 3879   243 0.6196244 0.120104981  fv Log-Normal      RP(P), Gamma    FALSE #> 3895   244 0.5113606 0.100849696  fv Log-Normal      RP(P), Gamma    FALSE #> 3911   245 0.4278909 0.085833193  fv Log-Normal      RP(P), Gamma    FALSE #> 3927   246 0.7643256 0.148247377  fv Log-Normal      RP(P), Gamma    FALSE #> 3943   247 0.6396835 0.124646729  fv Log-Normal      RP(P), Gamma    FALSE #> 3959   248 0.8887262 0.165189703  fv Log-Normal      RP(P), Gamma    FALSE #> 3975   249 0.5107049 0.100257685  fv Log-Normal      RP(P), Gamma    FALSE #> 3991   250 0.7077054 0.135338727  fv Log-Normal      RP(P), Gamma    FALSE #> 4007   251 0.5668351 0.110779312  fv Log-Normal      RP(P), Gamma    FALSE #> 4023   252 0.4787966 0.096884322  fv Log-Normal      RP(P), Gamma    FALSE #> 4039   253 0.7726230 0.145916040  fv Log-Normal      RP(P), Gamma    FALSE #> 4055   254 0.6804182 0.131478555  fv Log-Normal      RP(P), Gamma    FALSE #> 4071   255 0.8644481 0.162650447  fv Log-Normal      RP(P), Gamma    FALSE #> 4087   256 0.7870450 0.149599723  fv Log-Normal      RP(P), Gamma    FALSE #> 4103   257 0.7192110 0.135991127  fv Log-Normal      RP(P), Gamma    FALSE #> 4119   258 0.4068613 0.083073788  fv Log-Normal      RP(P), Gamma    FALSE #> 4135   259 0.5817998 0.112751709  fv Log-Normal      RP(P), Gamma    FALSE #> 4151   260 0.5469431 0.106420507  fv Log-Normal      RP(P), Gamma    FALSE #> 4167   261 0.7080536 0.133881161  fv Log-Normal      RP(P), Gamma    FALSE #> 4183   262 0.5942497 0.115095777  fv Log-Normal      RP(P), Gamma    FALSE #> 4199   263 0.7020528 0.133587665  fv Log-Normal      RP(P), Gamma    FALSE #> 4215   264 0.7159177 0.137273577  fv Log-Normal      RP(P), Gamma    FALSE #> 4231   265 0.5643244 0.109794624  fv Log-Normal      RP(P), Gamma    FALSE #> 4247   266 0.5478052 0.106965318  fv Log-Normal      RP(P), Gamma    FALSE #> 4263   267 0.5885489 0.115653369  fv Log-Normal      RP(P), Gamma    FALSE #> 4279   268 0.8693749 0.161917429  fv Log-Normal      RP(P), Gamma    FALSE #> 4295   269 0.5582825 0.109290397  fv Log-Normal      RP(P), Gamma    FALSE #> 4311   270 0.5684455 0.110779055  fv Log-Normal      RP(P), Gamma    FALSE #> 4327   271 0.7749650 0.149141098  fv Log-Normal      RP(P), Gamma    FALSE #> 4343   272 0.5156209 0.101591602  fv Log-Normal      RP(P), Gamma    FALSE #> 4359   273 0.6159012 0.118371233  fv Log-Normal      RP(P), Gamma    FALSE #> 4375   274 0.7947242 0.153820357  fv Log-Normal      RP(P), Gamma    FALSE #> 4391   275 0.6368109 0.127096784  fv Log-Normal      RP(P), Gamma    FALSE #> 4407   276 0.6711689 0.127922100  fv Log-Normal      RP(P), Gamma    FALSE #> 4423   277 0.6940475 0.133116364  fv Log-Normal      RP(P), Gamma    FALSE #> 4439   278 0.5152790 0.101199568  fv Log-Normal      RP(P), Gamma    FALSE #> 4455   279 0.8113280 0.153290256  fv Log-Normal      RP(P), Gamma    FALSE #> 4471   280 0.7000853 0.133350179  fv Log-Normal      RP(P), Gamma    FALSE #> 4487   281 0.6962477 0.133227021  fv Log-Normal      RP(P), Gamma    FALSE #> 4503   282 0.5426193 0.105700649  fv Log-Normal      RP(P), Gamma    FALSE #> 4519   283 0.6864975 0.130397237  fv Log-Normal      RP(P), Gamma    FALSE #> 4535   284 0.5396176 0.105832850  fv Log-Normal      RP(P), Gamma    FALSE #> 4551   285 0.5913837 0.114382562  fv Log-Normal      RP(P), Gamma    FALSE #> 4567   286 0.6302251 0.122112449  fv Log-Normal      RP(P), Gamma    FALSE #> 4583   287 0.5331961 0.104369454  fv Log-Normal      RP(P), Gamma    FALSE #> 4599   288 0.5392503 0.105693369  fv Log-Normal      RP(P), Gamma    FALSE #> 4615   289 0.6092166 0.117897281  fv Log-Normal      RP(P), Gamma    FALSE #> 4631   290 0.6196235 0.119781773  fv Log-Normal      RP(P), Gamma    FALSE #> 4647   291 0.6359919 0.121775820  fv Log-Normal      RP(P), Gamma    FALSE #> 4663   292 0.5575946 0.109509524  fv Log-Normal      RP(P), Gamma    FALSE #> 4679   293 0.5651291 0.109070835  fv Log-Normal      RP(P), Gamma    FALSE #> 4695   294 0.6422035 0.123311702  fv Log-Normal      RP(P), Gamma    FALSE #> 4711   295 0.5802791 0.113172050  fv Log-Normal      RP(P), Gamma    FALSE #> 4727   296 0.7555790 0.143540463  fv Log-Normal      RP(P), Gamma    FALSE #> 4743   297 0.3852702 0.078217517  fv Log-Normal      RP(P), Gamma     TRUE #> 4759   298 0.5804362 0.112370909  fv Log-Normal      RP(P), Gamma    FALSE #> 4775   299 0.7034566 0.133837283  fv Log-Normal      RP(P), Gamma    FALSE #> 4791   300 0.5792017 0.112548997  fv Log-Normal      RP(P), Gamma    FALSE #> 4807   301 0.9200582 0.170247237  fv Log-Normal      RP(P), Gamma     TRUE #> 4823   302 0.7453558 0.144203963  fv Log-Normal      RP(P), Gamma    FALSE #> 4839   303 0.5897325 0.114210118  fv Log-Normal      RP(P), Gamma    FALSE #> 4855   304 0.5895917 0.114060297  fv Log-Normal      RP(P), Gamma    FALSE #> 4871   305 0.7011073 0.133304181  fv Log-Normal      RP(P), Gamma    FALSE #> 4887   306 0.5567072 0.109075590  fv Log-Normal      RP(P), Gamma    FALSE #> 4903   307 0.5115247 0.099800267  fv Log-Normal      RP(P), Gamma    FALSE #> 4919   308 0.6127341 0.118267081  fv Log-Normal      RP(P), Gamma    FALSE #> 4935   309 0.5241423 0.102639868  fv Log-Normal      RP(P), Gamma    FALSE #> 4951   310 0.5755538 0.112432453  fv Log-Normal      RP(P), Gamma    FALSE #> 4967   311 0.7951455 0.149340322  fv Log-Normal      RP(P), Gamma    FALSE #> 4983   312 0.5859886 0.113064816  fv Log-Normal      RP(P), Gamma    FALSE #> 4999   313 0.4372528 0.087909712  fv Log-Normal      RP(P), Gamma    FALSE #> 5015   314 0.6147684 0.119382806  fv Log-Normal      RP(P), Gamma    FALSE #> 5031   315 0.5645028 0.109393669  fv Log-Normal      RP(P), Gamma    FALSE #> 5047   316 0.5565989 0.109845464  fv Log-Normal      RP(P), Gamma    FALSE #> 5063   317 0.7191520 0.135613702  fv Log-Normal      RP(P), Gamma    FALSE #> 5079   318 0.5965863 0.120080385  fv Log-Normal      RP(P), Gamma    FALSE #> 5095   319 0.6537813 0.125979738  fv Log-Normal      RP(P), Gamma    FALSE #> 5111   320 0.7201799 0.136255734  fv Log-Normal      RP(P), Gamma    FALSE #> 5127   321 0.8328070 0.157289651  fv Log-Normal      RP(P), Gamma    FALSE #> 5143   322 0.4960487 0.098036056  fv Log-Normal      RP(P), Gamma    FALSE #> 5159   323 0.6557055 0.125129845  fv Log-Normal      RP(P), Gamma    FALSE #> 5175   324 0.4850376 0.096139606  fv Log-Normal      RP(P), Gamma    FALSE #> 5191   325 0.5705067 0.111972275  fv Log-Normal      RP(P), Gamma    FALSE #> 5207   326 0.7884406 0.148717603  fv Log-Normal      RP(P), Gamma    FALSE #> 5223   327 0.4470598 0.088883562  fv Log-Normal      RP(P), Gamma    FALSE #> 5239   328 0.6211920 0.118836862  fv Log-Normal      RP(P), Gamma    FALSE #> 5255   329 0.6073953 0.118395269  fv Log-Normal      RP(P), Gamma    FALSE #> 5271   330 0.4730565 0.093665743  fv Log-Normal      RP(P), Gamma    FALSE #> 5287   331 0.7787809 0.146186396  fv Log-Normal      RP(P), Gamma    FALSE #> 5303   332 0.6139570 0.118138831  fv Log-Normal      RP(P), Gamma    FALSE #> 5319   333 0.4885412 0.097414696  fv Log-Normal      RP(P), Gamma    FALSE #> 5335   334 0.4894316 0.096621925  fv Log-Normal      RP(P), Gamma    FALSE #> 5351   335 0.5028639 0.099176225  fv Log-Normal      RP(P), Gamma    FALSE #> 5367   336 0.7814231 0.148463487  fv Log-Normal      RP(P), Gamma    FALSE #> 5383   337 0.6035500 0.116907362  fv Log-Normal      RP(P), Gamma    FALSE #> 5399   338 0.6560915 0.125409466  fv Log-Normal      RP(P), Gamma    FALSE #> 5415   339 0.5183767 0.102142302  fv Log-Normal      RP(P), Gamma    FALSE #> 5431   340 0.8199144 0.154586635  fv Log-Normal      RP(P), Gamma    FALSE #> 5447   341 0.5944860 0.117533729  fv Log-Normal      RP(P), Gamma    FALSE #> 5463   342 0.5193587 0.101756311  fv Log-Normal      RP(P), Gamma    FALSE #> 5479   343 0.5446257 0.106850374  fv Log-Normal      RP(P), Gamma    FALSE #> 5495   344 0.6177256 0.119809792  fv Log-Normal      RP(P), Gamma    FALSE #> 5511   345 0.5759749 0.111483975  fv Log-Normal      RP(P), Gamma    FALSE #> 5527   346 0.4476355 0.090001470  fv Log-Normal      RP(P), Gamma    FALSE #> 5543   347 0.5928304 0.115552336  fv Log-Normal      RP(P), Gamma    FALSE #> 5559   348 0.5431772 0.107072485  fv Log-Normal      RP(P), Gamma    FALSE #> 5575   349 0.5982843 0.115709329  fv Log-Normal      RP(P), Gamma    FALSE #> 5591   350 0.7122423 0.135849723  fv Log-Normal      RP(P), Gamma    FALSE #> 5607   351 0.5011156 0.098603090  fv Log-Normal      RP(P), Gamma    FALSE #> 5623   352 0.7612241 0.144981811  fv Log-Normal      RP(P), Gamma    FALSE #> 5639   353 0.6852220 0.132046410  fv Log-Normal      RP(P), Gamma    FALSE #> 5655   354 0.5857311 0.113477028  fv Log-Normal      RP(P), Gamma    FALSE #> 5671   355 0.6652417 0.127193917  fv Log-Normal      RP(P), Gamma    FALSE #> 5687   356 0.6173133 0.120742547  fv Log-Normal      RP(P), Gamma    FALSE #> 5703   357 0.9043420 0.173016497  fv Log-Normal      RP(P), Gamma     TRUE #> 5719   358 0.6080989 0.117536852  fv Log-Normal      RP(P), Gamma    FALSE #> 5735   359 0.4819349 0.096115857  fv Log-Normal      RP(P), Gamma    FALSE #> 5751   360 0.5666892 0.109982691  fv Log-Normal      RP(P), Gamma    FALSE #> 5767   361 0.5681239 0.110789224  fv Log-Normal      RP(P), Gamma    FALSE #> 5783   362 0.6273366 0.122363810  fv Log-Normal      RP(P), Gamma    FALSE #> 5799   363 0.5816115 0.114102264  fv Log-Normal      RP(P), Gamma    FALSE #> 5815   364 0.6876475 0.130288820  fv Log-Normal      RP(P), Gamma    FALSE #> 5831   365 0.6489056 0.124382293  fv Log-Normal      RP(P), Gamma    FALSE #> 5847   366 0.5872749 0.113916746  fv Log-Normal      RP(P), Gamma    FALSE #> 5863   367 0.7316313 0.139986854  fv Log-Normal      RP(P), Gamma    FALSE #> 5879   368 0.8058332 0.151315932  fv Log-Normal      RP(P), Gamma    FALSE #> 5895   369 0.5094609 0.100121566  fv Log-Normal      RP(P), Gamma    FALSE #> 5911   370 0.6612134 0.126708507  fv Log-Normal      RP(P), Gamma    FALSE #> 5927   371 0.6350437 0.124249605  fv Log-Normal      RP(P), Gamma    FALSE #> 5943   372 0.4578136 0.091413362  fv Log-Normal      RP(P), Gamma    FALSE #> 5959   373 0.8627763 0.160868809  fv Log-Normal      RP(P), Gamma    FALSE #> 5975   374 0.5059833 0.100171027  fv Log-Normal      RP(P), Gamma    FALSE #> 5991   375 0.6308717 0.122756047  fv Log-Normal      RP(P), Gamma    FALSE #> 6007   376 0.6040654 0.116977417  fv Log-Normal      RP(P), Gamma    FALSE #> 6023   377 0.4763770 0.094353796  fv Log-Normal      RP(P), Gamma    FALSE #> 6039   378 0.5335836 0.104644051  fv Log-Normal      RP(P), Gamma    FALSE #> 6055   379 0.4834626 0.095929962  fv Log-Normal      RP(P), Gamma    FALSE #> 6071   380 0.5706786 0.110657205  fv Log-Normal      RP(P), Gamma    FALSE #> 6087   381 0.6870494 0.130888764  fv Log-Normal      RP(P), Gamma    FALSE #> 6103   382 0.6297807 0.121858418  fv Log-Normal      RP(P), Gamma    FALSE #> 6119   383 0.6695102 0.128506247  fv Log-Normal      RP(P), Gamma    FALSE #> 6135   384 0.5836747 0.112718407  fv Log-Normal      RP(P), Gamma    FALSE #> 6151   385 0.5061154 0.100209905  fv Log-Normal      RP(P), Gamma    FALSE #> 6167   386 0.7746371 0.147352863  fv Log-Normal      RP(P), Gamma    FALSE #> 6183   387 0.5793071 0.114012787  fv Log-Normal      RP(P), Gamma    FALSE #> 6199   388 0.7006456 0.132262925  fv Log-Normal      RP(P), Gamma    FALSE #> 6215   389 0.6591775 0.125828401  fv Log-Normal      RP(P), Gamma    FALSE #> 6231   390 0.5756189 0.112118694  fv Log-Normal      RP(P), Gamma    FALSE #> 6247   391 0.7166769 0.135906531  fv Log-Normal      RP(P), Gamma    FALSE #> 6263   392 0.5582759 0.109346080  fv Log-Normal      RP(P), Gamma    FALSE #> 6279   393 0.5188225 0.102003293  fv Log-Normal      RP(P), Gamma    FALSE #> 6295   394 0.8340129 0.157802893  fv Log-Normal      RP(P), Gamma    FALSE #> 6311   395 0.6561839 0.125677696  fv Log-Normal      RP(P), Gamma    FALSE #> 6327   396 0.8530720 0.159253424  fv Log-Normal      RP(P), Gamma    FALSE #> 6343   397 0.5767037 0.111714735  fv Log-Normal      RP(P), Gamma    FALSE #> 6359   398 0.5759109 0.111597778  fv Log-Normal      RP(P), Gamma    FALSE #> 6375   399 0.7355098 0.139897611  fv Log-Normal      RP(P), Gamma    FALSE #> 6391   400 0.4833498 0.096136542  fv Log-Normal      RP(P), Gamma    FALSE #> 6407   401 0.5287786 0.103547267  fv Log-Normal      RP(P), Gamma    FALSE #> 6423   402 0.4729205 0.094927871  fv Log-Normal      RP(P), Gamma    FALSE #> 6439   403 0.4768322 0.093865073  fv Log-Normal      RP(P), Gamma    FALSE #> 6455   404 0.5503689 0.108894551  fv Log-Normal      RP(P), Gamma    FALSE #> 6471   405 0.4675984 0.093559702  fv Log-Normal      RP(P), Gamma    FALSE #> 6487   406 0.5998105 0.115658274  fv Log-Normal      RP(P), Gamma    FALSE #> 6503   407 0.7071862 0.135917794  fv Log-Normal      RP(P), Gamma    FALSE #> 6519   408 0.4551711 0.092545500  fv Log-Normal      RP(P), Gamma    FALSE #> 6535   409 0.6003096 0.116002539  fv Log-Normal      RP(P), Gamma    FALSE #> 6551   410 0.7354522 0.141341112  fv Log-Normal      RP(P), Gamma    FALSE #> 6567   411 0.5842355 0.114276721  fv Log-Normal      RP(P), Gamma    FALSE #> 6583   412 0.6358926 0.123916656  fv Log-Normal      RP(P), Gamma    FALSE #> 6599   413 0.4809322 0.096109620  fv Log-Normal      RP(P), Gamma    FALSE #> 6615   414 0.8207219 0.154498864  fv Log-Normal      RP(P), Gamma    FALSE #> 6631   415 1.0478283 0.190504759  fv Log-Normal      RP(P), Gamma     TRUE #> 6647   416 0.5063546 0.100886285  fv Log-Normal      RP(P), Gamma    FALSE #> 6663   417 0.5075324 0.100029009  fv Log-Normal      RP(P), Gamma    FALSE #> 6679   418 0.7581325 0.142360888  fv Log-Normal      RP(P), Gamma    FALSE #> 6695   419 0.4093657 0.082325590  fv Log-Normal      RP(P), Gamma    FALSE #> 6711   420 0.6457404 0.124412096  fv Log-Normal      RP(P), Gamma    FALSE #> 6727   421 0.7234085 0.138143903  fv Log-Normal      RP(P), Gamma    FALSE #> 6743   422 0.5477184 0.108345673  fv Log-Normal      RP(P), Gamma    FALSE #> 6759   423 0.5300261 0.103870701  fv Log-Normal      RP(P), Gamma    FALSE #> 6775   424 0.5958915 0.115434340  fv Log-Normal      RP(P), Gamma    FALSE #> 6791   425 0.7100163 0.136393457  fv Log-Normal      RP(P), Gamma    FALSE #> 6807   426 0.7479045 0.142305623  fv Log-Normal      RP(P), Gamma    FALSE #> 6823   427 0.9319722 0.173864781  fv Log-Normal      RP(P), Gamma     TRUE #> 6839   428 0.7297775 0.139498288  fv Log-Normal      RP(P), Gamma    FALSE #> 6855   429 0.6427432 0.123394639  fv Log-Normal      RP(P), Gamma    FALSE #> 6871   430 0.7897896 0.149428903  fv Log-Normal      RP(P), Gamma    FALSE #> 6887   431 0.5758042 0.112117071  fv Log-Normal      RP(P), Gamma    FALSE #> 6903   432 0.7845424 0.148213986  fv Log-Normal      RP(P), Gamma    FALSE #> 6919   433 0.5083695 0.099715747  fv Log-Normal      RP(P), Gamma    FALSE #> 6935   434 0.5697794 0.111842649  fv Log-Normal      RP(P), Gamma    FALSE #> 6951   435 0.4351491 0.087346250  fv Log-Normal      RP(P), Gamma    FALSE #> 6967   436 0.6492604 0.124247657  fv Log-Normal      RP(P), Gamma    FALSE #> 6983   437 0.4988429 0.098454001  fv Log-Normal      RP(P), Gamma    FALSE #> 6999   438 0.7564725 0.143124263  fv Log-Normal      RP(P), Gamma    FALSE #> 7015   439 0.5207554 0.103025427  fv Log-Normal      RP(P), Gamma    FALSE #> 7031   440 0.4006907 0.082110901  fv Log-Normal      RP(P), Gamma    FALSE #> 7047   441 0.5223614 0.103142164  fv Log-Normal      RP(P), Gamma    FALSE #> 7063   442 0.6273843 0.121115548  fv Log-Normal      RP(P), Gamma    FALSE #> 7079   443 0.7123241 0.136178257  fv Log-Normal      RP(P), Gamma    FALSE #> 7095   444 0.8116075 0.154510279  fv Log-Normal      RP(P), Gamma    FALSE #> 7111   445 0.7520363 0.141861132  fv Log-Normal      RP(P), Gamma    FALSE #> 7127   446 0.5504050 0.107298726  fv Log-Normal      RP(P), Gamma    FALSE #> 7143   447 0.7152656 0.135495651  fv Log-Normal      RP(P), Gamma    FALSE #> 7159   448 0.7269417 0.137299228  fv Log-Normal      RP(P), Gamma    FALSE #> 7175   449 0.8130967 0.153586780  fv Log-Normal      RP(P), Gamma    FALSE #> 7191   450 0.5713784 0.110828743  fv Log-Normal      RP(P), Gamma    FALSE #> 7207   451 0.6855537 0.130631019  fv Log-Normal      RP(P), Gamma    FALSE #> 7223   452 0.6852773 0.130601824  fv Log-Normal      RP(P), Gamma    FALSE #> 7239   453 0.6419976 0.123417285  fv Log-Normal      RP(P), Gamma    FALSE #> 7255   454 0.5915648 0.114794688  fv Log-Normal      RP(P), Gamma    FALSE #> 7271   455 0.5989062 0.116767828  fv Log-Normal      RP(P), Gamma    FALSE #> 7287   456 0.4514905 0.090400569  fv Log-Normal      RP(P), Gamma    FALSE #> 7303   457 0.7626711 0.143657175  fv Log-Normal      RP(P), Gamma    FALSE #> 7319   458 0.6695412 0.129232733  fv Log-Normal      RP(P), Gamma    FALSE #> 7335   459 0.7901092 0.149271994  fv Log-Normal      RP(P), Gamma    FALSE #> 7351   460 0.5384375 0.104506896  fv Log-Normal      RP(P), Gamma    FALSE #> 7367   461 0.6738614 0.128328530  fv Log-Normal      RP(P), Gamma    FALSE #> 7383   462 0.5995043 0.115203166  fv Log-Normal      RP(P), Gamma    FALSE #> 7399   463 0.8008576 0.152482024  fv Log-Normal      RP(P), Gamma    FALSE #> 7415   464 0.6534097 0.124409356  fv Log-Normal      RP(P), Gamma    FALSE #> 7431   465 0.7405431 0.140658325  fv Log-Normal      RP(P), Gamma    FALSE #> 7447   466 0.7429010 0.141190155  fv Log-Normal      RP(P), Gamma    FALSE #> 7463   467 0.6592663 0.127357206  fv Log-Normal      RP(P), Gamma    FALSE #> 7479   468 0.7478064 0.140591623  fv Log-Normal      RP(P), Gamma    FALSE #> 7495   469 0.7980469 0.151851588  fv Log-Normal      RP(P), Gamma    FALSE #> 7511   470 0.6707510 0.129109794  fv Log-Normal      RP(P), Gamma    FALSE #> 7527   471 0.5195360 0.101809578  fv Log-Normal      RP(P), Gamma    FALSE #> 7543   472 0.7761691 0.146491082  fv Log-Normal      RP(P), Gamma    FALSE #> 7559   473 0.6077641 0.117774706  fv Log-Normal      RP(P), Gamma    FALSE #> 7575   474 0.8208932 0.153749136  fv Log-Normal      RP(P), Gamma    FALSE #> 7591   475 0.5398973 0.105059599  fv Log-Normal      RP(P), Gamma    FALSE #> 7607   476 0.4413755 0.088778916  fv Log-Normal      RP(P), Gamma    FALSE #> 7623   477 0.4970617 0.099301281  fv Log-Normal      RP(P), Gamma    FALSE #> 7639   478 0.6622706 0.125773445  fv Log-Normal      RP(P), Gamma    FALSE #> 7655   479 0.6789292 0.129891752  fv Log-Normal      RP(P), Gamma    FALSE #> 7671   480 0.9229350 0.172022096  fv Log-Normal      RP(P), Gamma     TRUE #> 7687   481 0.8684971 0.161812769  fv Log-Normal      RP(P), Gamma    FALSE #> 7703   482 0.6084379 0.117279552  fv Log-Normal      RP(P), Gamma    FALSE #> 7719   483 0.7379684 0.139763885  fv Log-Normal      RP(P), Gamma    FALSE #> 7735   484 0.7328743 0.138984469  fv Log-Normal      RP(P), Gamma    FALSE #> 7751   485 0.5262836 0.103060594  fv Log-Normal      RP(P), Gamma    FALSE #> 7767   486 0.3908574 0.078920916  fv Log-Normal      RP(P), Gamma    FALSE #> 7783   487 0.7438818 0.140375079  fv Log-Normal      RP(P), Gamma    FALSE #> 7799   488 0.3983944 0.080663557  fv Log-Normal      RP(P), Gamma    FALSE #> 7815   489 0.6557783 0.126320270  fv Log-Normal      RP(P), Gamma    FALSE #> 7831   490 0.6026455 0.116547326  fv Log-Normal      RP(P), Gamma    FALSE #> 7847   491 0.6247174 0.121016263  fv Log-Normal      RP(P), Gamma    FALSE #> 7863   492 0.4832708 0.095096379  fv Log-Normal      RP(P), Gamma    FALSE #> 7879   493 0.9574865 0.177139532  fv Log-Normal      RP(P), Gamma     TRUE #> 7895   494 0.6006230 0.115956493  fv Log-Normal      RP(P), Gamma    FALSE #> 7911   495 0.7155432 0.135390082  fv Log-Normal      RP(P), Gamma    FALSE #> 7927   496 0.8779148 0.162996545  fv Log-Normal      RP(P), Gamma    FALSE #> 7943   497 0.5217565 0.102371859  fv Log-Normal      RP(P), Gamma    FALSE #> 7959   498 0.6078818 0.118535765  fv Log-Normal      RP(P), Gamma    FALSE #> 7975   499 0.7589340 0.144470802  fv Log-Normal      RP(P), Gamma    FALSE #> 7991   500 0.6576165 0.127056728  fv Log-Normal      RP(P), Gamma    FALSE #> 8007   501 1.1934506 0.215189767  fv Log-Normal      RP(P), Gamma     TRUE #> 8023   502 0.7026905 0.134449675  fv Log-Normal      RP(P), Gamma    FALSE #> 8039   503 0.6461175 0.123792245  fv Log-Normal      RP(P), Gamma    FALSE #> 8055   504 0.7780519 0.146498296  fv Log-Normal      RP(P), Gamma    FALSE #> 8071   505 0.6050506 0.116115429  fv Log-Normal      RP(P), Gamma    FALSE #> 8087   506 0.8133249 0.152842454  fv Log-Normal      RP(P), Gamma    FALSE #> 8103   507 0.5879703 0.113085205  fv Log-Normal      RP(P), Gamma    FALSE #> 8119   508 0.5068504 0.101178044  fv Log-Normal      RP(P), Gamma    FALSE #> 8135   509 0.5746260 0.111451015  fv Log-Normal      RP(P), Gamma    FALSE #> 8151   510 0.5602904 0.108703773  fv Log-Normal      RP(P), Gamma    FALSE #> 8167   511 0.4046575 0.081300884  fv Log-Normal      RP(P), Gamma    FALSE #> 8183   512 0.5938522 0.114988561  fv Log-Normal      RP(P), Gamma    FALSE #> 8199   513 0.6468916 0.123938467  fv Log-Normal      RP(P), Gamma    FALSE #> 8215   514 0.6397314 0.123893154  fv Log-Normal      RP(P), Gamma    FALSE #> 8231   515 0.5028497 0.099639884  fv Log-Normal      RP(P), Gamma    FALSE #> 8247   516 0.6476726 0.124767612  fv Log-Normal      RP(P), Gamma    FALSE #> 8263   517 0.3325667 0.068670557  fv Log-Normal      RP(P), Gamma     TRUE #> 8279   518 0.6558678 0.125826549  fv Log-Normal      RP(P), Gamma    FALSE #> 8295   519 0.6732987 0.128685268  fv Log-Normal      RP(P), Gamma    FALSE #> 8311   520 0.6850792 0.130179158  fv Log-Normal      RP(P), Gamma    FALSE #> 8327   521 0.6370219 0.122012074  fv Log-Normal      RP(P), Gamma    FALSE #> 8343   522 0.4885136 0.096484117  fv Log-Normal      RP(P), Gamma    FALSE #> 8359   523 0.6496220 0.124197298  fv Log-Normal      RP(P), Gamma    FALSE #> 8375   524 0.5234049 0.104270802  fv Log-Normal      RP(P), Gamma    FALSE #> 8391   525 0.6765518 0.130414457  fv Log-Normal      RP(P), Gamma    FALSE #> 8407   526 0.5584063 0.109625927  fv Log-Normal      RP(P), Gamma    FALSE #> 8423   527 0.6834322 0.132081427  fv Log-Normal      RP(P), Gamma    FALSE #> 8439   528 0.7426000 0.140512963  fv Log-Normal      RP(P), Gamma    FALSE #> 8455   529 0.7934196 0.148789101  fv Log-Normal      RP(P), Gamma    FALSE #> 8471   530 0.3948235 0.080023161  fv Log-Normal      RP(P), Gamma    FALSE #> 8487   531 0.7875890 0.147558495  fv Log-Normal      RP(P), Gamma    FALSE #> 8503   532 0.6135217 0.117702935  fv Log-Normal      RP(P), Gamma    FALSE #> 8519   533 0.6120718 0.118048211  fv Log-Normal      RP(P), Gamma    FALSE #> 8535   534 0.6716551 0.129306507  fv Log-Normal      RP(P), Gamma    FALSE #> 8551   535 0.7335196 0.138512829  fv Log-Normal      RP(P), Gamma    FALSE #> 8567   536 0.5204424 0.102465629  fv Log-Normal      RP(P), Gamma    FALSE #> 8583   537 1.0379600 0.188908964  fv Log-Normal      RP(P), Gamma     TRUE #> 8599   538 0.4548943 0.090692268  fv Log-Normal      RP(P), Gamma    FALSE #> 8615   539 0.6713151 0.130815161  fv Log-Normal      RP(P), Gamma    FALSE #> 8631   540 0.5523580 0.107988775  fv Log-Normal      RP(P), Gamma    FALSE #> 8647   541 0.8042797 0.150903144  fv Log-Normal      RP(P), Gamma    FALSE #> 8663   542 0.6949027 0.132583092  fv Log-Normal      RP(P), Gamma    FALSE #> 8679   543 0.7476093 0.142469608  fv Log-Normal      RP(P), Gamma    FALSE #> 8695   544 0.6774908 0.129791800  fv Log-Normal      RP(P), Gamma    FALSE #> 8711   545 0.5143813 0.100902954  fv Log-Normal      RP(P), Gamma    FALSE #> 8727   546 0.8312447 0.156455946  fv Log-Normal      RP(P), Gamma    FALSE #> 8743   547 0.6121114 0.118650971  fv Log-Normal      RP(P), Gamma    FALSE #> 8759   548 0.5140565 0.102068375  fv Log-Normal      RP(P), Gamma    FALSE #> 8775   549 0.7348816 0.138826062  fv Log-Normal      RP(P), Gamma    FALSE #> 8791   550 0.5090552 0.102033236  fv Log-Normal      RP(P), Gamma    FALSE #> 8807   551 0.6688984 0.127755112  fv Log-Normal      RP(P), Gamma    FALSE #> 8823   552 0.6265386 0.120777429  fv Log-Normal      RP(P), Gamma    FALSE #> 8839   553 0.7047650 0.132991368  fv Log-Normal      RP(P), Gamma    FALSE #> 8855   554 0.8291163 0.157127475  fv Log-Normal      RP(P), Gamma    FALSE #> 8871   555 0.6850161 0.130269138  fv Log-Normal      RP(P), Gamma    FALSE #> 8887   556 0.7538022 0.142279468  fv Log-Normal      RP(P), Gamma    FALSE #> 8903   557 0.6250217 0.120230852  fv Log-Normal      RP(P), Gamma    FALSE #> 8919   558 0.6063746 0.117061554  fv Log-Normal      RP(P), Gamma    FALSE #> 8935   559 0.5429581 0.106505362  fv Log-Normal      RP(P), Gamma    FALSE #> 8951   560 0.7137899 0.135857490  fv Log-Normal      RP(P), Gamma    FALSE #> 8967   561 1.0273063 0.187917372  fv Log-Normal      RP(P), Gamma     TRUE #> 8983   562 0.7434955 0.141140034  fv Log-Normal      RP(P), Gamma    FALSE #> 8999   563 0.6801410 0.129591934  fv Log-Normal      RP(P), Gamma    FALSE #> 9015   564 0.5086320 0.099547959  fv Log-Normal      RP(P), Gamma    FALSE #> 9031   565 0.5188484 0.102466411  fv Log-Normal      RP(P), Gamma    FALSE #> 9047   566 0.6244033 0.120264371  fv Log-Normal      RP(P), Gamma    FALSE #> 9063   567 0.5979873 0.115359367  fv Log-Normal      RP(P), Gamma    FALSE #> 9079   568 0.4721114 0.093701853  fv Log-Normal      RP(P), Gamma    FALSE #> 9095   569 0.7965129 0.150098223  fv Log-Normal      RP(P), Gamma    FALSE #> 9111   570 0.4628960 0.091470885  fv Log-Normal      RP(P), Gamma    FALSE #> 9127   571 0.5842951 0.112728421  fv Log-Normal      RP(P), Gamma    FALSE #> 9143   572 0.5708745 0.111699420  fv Log-Normal      RP(P), Gamma    FALSE #> 9159   573 0.5750242 0.111902694  fv Log-Normal      RP(P), Gamma    FALSE #> 9175   574 0.6440778 0.123736426  fv Log-Normal      RP(P), Gamma    FALSE #> 9191   575 0.5468114 0.107030650  fv Log-Normal      RP(P), Gamma    FALSE #> 9207   576 0.5554273 0.108360345  fv Log-Normal      RP(P), Gamma    FALSE #> 9223   577 0.9266912 0.174564789  fv Log-Normal      RP(P), Gamma     TRUE #> 9239   578 0.5261017 0.103127649  fv Log-Normal      RP(P), Gamma    FALSE #> 9255   579 0.5387574 0.106274310  fv Log-Normal      RP(P), Gamma    FALSE #> 9271   580 0.4707019 0.094408535  fv Log-Normal      RP(P), Gamma    FALSE #> 9287   581 0.6504271 0.124298433  fv Log-Normal      RP(P), Gamma    FALSE #> 9303   582 0.6775845 0.129556677  fv Log-Normal      RP(P), Gamma    FALSE #> 9319   583 0.8861042 0.163642549  fv Log-Normal      RP(P), Gamma    FALSE #> 9335   584 0.5002307 0.099003587  fv Log-Normal      RP(P), Gamma    FALSE #> 9351   585 0.6170829 0.118479185  fv Log-Normal      RP(P), Gamma    FALSE #> 9367   586 0.6901922 0.132247790  fv Log-Normal      RP(P), Gamma    FALSE #> 9383   587 0.8271364 0.156625337  fv Log-Normal      RP(P), Gamma    FALSE #> 9399   588 0.4991248 0.098354530  fv Log-Normal      RP(P), Gamma    FALSE #> 9415   589 0.5658254 0.110527743  fv Log-Normal      RP(P), Gamma    FALSE #> 9431   590 0.6760460 0.129168104  fv Log-Normal      RP(P), Gamma    FALSE #> 9447   591 0.7096084 0.134844438  fv Log-Normal      RP(P), Gamma    FALSE #> 9463   592 0.6397263 0.122142964  fv Log-Normal      RP(P), Gamma    FALSE #> 9479   593 0.8485950 0.159290802  fv Log-Normal      RP(P), Gamma    FALSE #> 9495   594 0.5980829 0.115005110  fv Log-Normal      RP(P), Gamma    FALSE #> 9511   595 0.4900971 0.096783028  fv Log-Normal      RP(P), Gamma    FALSE #> 9527   596 0.7574788 0.147358757  fv Log-Normal      RP(P), Gamma    FALSE #> 9543   597 0.5555007 0.108764648  fv Log-Normal      RP(P), Gamma    FALSE #> 9559   598 0.8869603 0.164652912  fv Log-Normal      RP(P), Gamma    FALSE #> 9575   599 0.7172531 0.139602364  fv Log-Normal      RP(P), Gamma    FALSE #> 9591   600 0.4875005 0.096751810  fv Log-Normal      RP(P), Gamma    FALSE #> 9607   601 1.0034908 0.185067542  fv Log-Normal      RP(P), Gamma     TRUE #> 9623   602 0.9315667 0.173569567  fv Log-Normal      RP(P), Gamma     TRUE #> 9639   603 0.3891561 0.079134558  fv Log-Normal      RP(P), Gamma    FALSE #> 9655   604 0.6831090 0.130655727  fv Log-Normal      RP(P), Gamma    FALSE #> 9671   605 1.2021178 0.217657229  fv Log-Normal      RP(P), Gamma     TRUE #> 9687   606 0.6513685 0.125714802  fv Log-Normal      RP(P), Gamma    FALSE #> 9703   607 0.5322629 0.105264233  fv Log-Normal      RP(P), Gamma    FALSE #> 9719   608 0.3897829 0.078912911  fv Log-Normal      RP(P), Gamma    FALSE #> 9735   609 0.7388302 0.139633573  fv Log-Normal      RP(P), Gamma    FALSE #> 9751   610 0.5779827 0.112718737  fv Log-Normal      RP(P), Gamma    FALSE #> 9767   611 0.7309416 0.140033806  fv Log-Normal      RP(P), Gamma    FALSE #> 9783   612 0.4843671 0.095423699  fv Log-Normal      RP(P), Gamma    FALSE #> 9799   613 0.6706920 0.127546045  fv Log-Normal      RP(P), Gamma    FALSE #> 9815   614 0.6183168 0.118772783  fv Log-Normal      RP(P), Gamma    FALSE #> 9831   615 0.7045260 0.133355951  fv Log-Normal      RP(P), Gamma    FALSE #> 9847   616 0.6489493 0.123879789  fv Log-Normal      RP(P), Gamma    FALSE #> 9863   617 0.6632689 0.126921727  fv Log-Normal      RP(P), Gamma    FALSE #> 9879   618 0.6334784 0.123145460  fv Log-Normal      RP(P), Gamma    FALSE #> 9895   619 0.7035638 0.133736565  fv Log-Normal      RP(P), Gamma    FALSE #> 9911   620 0.7020430 0.134210585  fv Log-Normal      RP(P), Gamma    FALSE #> 9927   621 0.4819005 0.094952770  fv Log-Normal      RP(P), Gamma    FALSE #> 9943   622 0.5397034 0.105579639  fv Log-Normal      RP(P), Gamma    FALSE #> 9959   623 0.7881921 0.149884077  fv Log-Normal      RP(P), Gamma    FALSE #> 9975   624 0.5203504 0.102733074  fv Log-Normal      RP(P), Gamma    FALSE #> 9991   625 0.6837447 0.131406762  fv Log-Normal      RP(P), Gamma    FALSE #> 10007  626 0.5549372 0.108180877  fv Log-Normal      RP(P), Gamma    FALSE #> 10023  627 0.5179683 0.101178304  fv Log-Normal      RP(P), Gamma    FALSE #> 10039  628 0.6020692 0.118086101  fv Log-Normal      RP(P), Gamma    FALSE #> 10055  629 0.6000282 0.116646938  fv Log-Normal      RP(P), Gamma    FALSE #> 10071  630 0.7279731 0.137843137  fv Log-Normal      RP(P), Gamma    FALSE #> 10087  631 0.6027202 0.116593410  fv Log-Normal      RP(P), Gamma    FALSE #> 10103  632 0.6537910 0.125818670  fv Log-Normal      RP(P), Gamma    FALSE #> 10119  633 0.4513900 0.090185550  fv Log-Normal      RP(P), Gamma    FALSE #> 10135  634 0.5375152 0.105208433  fv Log-Normal      RP(P), Gamma    FALSE #> 10151  635 0.7997065 0.151945464  fv Log-Normal      RP(P), Gamma    FALSE #> 10167  636 0.3688985 0.074968576  fv Log-Normal      RP(P), Gamma     TRUE #> 10183  637 0.8181358 0.153742550  fv Log-Normal      RP(P), Gamma    FALSE #> 10199  638 0.6190300 0.120041647  fv Log-Normal      RP(P), Gamma    FALSE #> 10215  639 0.4075020 0.082684708  fv Log-Normal      RP(P), Gamma    FALSE #> 10231  640 0.6079183 0.117406864  fv Log-Normal      RP(P), Gamma    FALSE #> 10247  641 0.5327102 0.105110772  fv Log-Normal      RP(P), Gamma    FALSE #> 10263  642 0.5627774 0.109736079  fv Log-Normal      RP(P), Gamma    FALSE #> 10279  643 0.6140868 0.118512864  fv Log-Normal      RP(P), Gamma    FALSE #> 10295  644 0.5859136 0.113867905  fv Log-Normal      RP(P), Gamma    FALSE #> 10311  645 0.7201751 0.137426049  fv Log-Normal      RP(P), Gamma    FALSE #> 10327  646        NA          NA  fv Log-Normal      RP(P), Gamma       NA #> 10343  647 0.5681908 0.110136754  fv Log-Normal      RP(P), Gamma    FALSE #> 10359  648 0.9305917 0.172374754  fv Log-Normal      RP(P), Gamma     TRUE #> 10375  649 0.5485075 0.107764779  fv Log-Normal      RP(P), Gamma    FALSE #> 10391  650 0.7601556 0.143756671  fv Log-Normal      RP(P), Gamma    FALSE #> 10407  651 0.6466322 0.123731016  fv Log-Normal      RP(P), Gamma    FALSE #> 10423  652 1.0102019 0.184233698  fv Log-Normal      RP(P), Gamma     TRUE #> 10439  653 0.4677185 0.093001021  fv Log-Normal      RP(P), Gamma    FALSE #> 10455  654 0.5012781 0.099290261  fv Log-Normal      RP(P), Gamma    FALSE #> 10471  655 0.6184514 0.119322143  fv Log-Normal      RP(P), Gamma    FALSE #> 10487  656 0.5893034 0.114337156  fv Log-Normal      RP(P), Gamma    FALSE #> 10503  657 0.4700947 0.093330712  fv Log-Normal      RP(P), Gamma    FALSE #> 10519  658 0.9548714 0.176352345  fv Log-Normal      RP(P), Gamma     TRUE #> 10535  659 0.9221158 0.172214444  fv Log-Normal      RP(P), Gamma     TRUE #> 10551  660 0.6906597 0.131068552  fv Log-Normal      RP(P), Gamma    FALSE #> 10567  661 0.4580311 0.090771001  fv Log-Normal      RP(P), Gamma    FALSE #> 10583  662 0.5164133 0.101474521  fv Log-Normal      RP(P), Gamma    FALSE #> 10599  663 0.5910451 0.114456254  fv Log-Normal      RP(P), Gamma    FALSE #> 10615  664 0.6069571 0.116792001  fv Log-Normal      RP(P), Gamma    FALSE #> 10631  665 0.7872832 0.148967481  fv Log-Normal      RP(P), Gamma    FALSE #> 10647  666 0.9872431 0.180995966  fv Log-Normal      RP(P), Gamma     TRUE #> 10663  667 0.5861609 0.113728094  fv Log-Normal      RP(P), Gamma    FALSE #> 10679  668 0.5965077 0.116224148  fv Log-Normal      RP(P), Gamma    FALSE #> 10695  669 0.7858658 0.148111774  fv Log-Normal      RP(P), Gamma    FALSE #> 10711  670 0.5644456 0.111070175  fv Log-Normal      RP(P), Gamma    FALSE #> 10727  671 0.7257817 0.138317915  fv Log-Normal      RP(P), Gamma    FALSE #> 10743  672 0.8699537 0.162873189  fv Log-Normal      RP(P), Gamma    FALSE #> 10759  673        NA          NA  fv Log-Normal      RP(P), Gamma       NA #> 10775  674 0.7477157 0.142416167  fv Log-Normal      RP(P), Gamma    FALSE #> 10791  675 0.5433898 0.107245880  fv Log-Normal      RP(P), Gamma    FALSE #> 10807  676 0.8399640 0.157547560  fv Log-Normal      RP(P), Gamma    FALSE #> 10823  677 0.6227503 0.120604554  fv Log-Normal      RP(P), Gamma    FALSE #> 10839  678 0.5245707 0.103511296  fv Log-Normal      RP(P), Gamma    FALSE #> 10855  679 0.5837353 0.114105618  fv Log-Normal      RP(P), Gamma    FALSE #> 10871  680 0.6687400 0.128093769  fv Log-Normal      RP(P), Gamma    FALSE #> 10887  681 0.8689437 0.162084794  fv Log-Normal      RP(P), Gamma    FALSE #> 10903  682 0.5411130 0.105287312  fv Log-Normal      RP(P), Gamma    FALSE #> 10919  683 0.7576341 0.145307823  fv Log-Normal      RP(P), Gamma    FALSE #> 10935  684 0.9589529 0.177509901  fv Log-Normal      RP(P), Gamma     TRUE #> 10951  685 0.5633214 0.109342344  fv Log-Normal      RP(P), Gamma    FALSE #> 10967  686 0.8200752 0.154050410  fv Log-Normal      RP(P), Gamma    FALSE #> 10983  687 0.5295936 0.103602159  fv Log-Normal      RP(P), Gamma    FALSE #> 10999  688 0.5361570 0.105208722  fv Log-Normal      RP(P), Gamma    FALSE #> 11015  689 0.5920704 0.115501697  fv Log-Normal      RP(P), Gamma    FALSE #> 11031  690 0.7275334 0.138140884  fv Log-Normal      RP(P), Gamma    FALSE #> 11047  691 0.7479373 0.145837123  fv Log-Normal      RP(P), Gamma    FALSE #> 11063  692 0.5492636 0.106737488  fv Log-Normal      RP(P), Gamma    FALSE #> 11079  693 0.4530186 0.090401153  fv Log-Normal      RP(P), Gamma    FALSE #> 11095  694 0.6821877 0.130885389  fv Log-Normal      RP(P), Gamma    FALSE #> 11111  695 0.5561848 0.108503923  fv Log-Normal      RP(P), Gamma    FALSE #> 11127  696 0.6698984 0.127785352  fv Log-Normal      RP(P), Gamma    FALSE #> 11143  697 0.8044238 0.152341904  fv Log-Normal      RP(P), Gamma    FALSE #> 11159  698 0.4029591 0.081215489  fv Log-Normal      RP(P), Gamma    FALSE #> 11175  699 0.6220318 0.120794862  fv Log-Normal      RP(P), Gamma    FALSE #> 11191  700 0.4838667 0.095650738  fv Log-Normal      RP(P), Gamma    FALSE #> 11207  701 0.7141305 0.135782693  fv Log-Normal      RP(P), Gamma    FALSE #> 11223  702 0.7876228 0.150480099  fv Log-Normal      RP(P), Gamma    FALSE #> 11239  703 0.6834653 0.131044510  fv Log-Normal      RP(P), Gamma    FALSE #> 11255  704 0.6006202 0.117032734  fv Log-Normal      RP(P), Gamma    FALSE #> 11271  705 0.5825614 0.112553700  fv Log-Normal      RP(P), Gamma    FALSE #> 11287  706 0.6462783 0.123967447  fv Log-Normal      RP(P), Gamma    FALSE #> 11303  707 0.7719009 0.144912433  fv Log-Normal      RP(P), Gamma    FALSE #> 11319  708 0.7589118 0.142597681  fv Log-Normal      RP(P), Gamma    FALSE #> 11335  709 0.7050173 0.137776068  fv Log-Normal      RP(P), Gamma    FALSE #> 11351  710 0.4858904 0.096616911  fv Log-Normal      RP(P), Gamma    FALSE #> 11367  711 0.6714817 0.132119633  fv Log-Normal      RP(P), Gamma    FALSE #> 11383  712 0.6359158 0.122551215  fv Log-Normal      RP(P), Gamma    FALSE #> 11399  713 0.8791749 0.164312628  fv Log-Normal      RP(P), Gamma    FALSE #> 11415  714 0.7282695 0.139130739  fv Log-Normal      RP(P), Gamma    FALSE #> 11431  715 0.6771839 0.128896557  fv Log-Normal      RP(P), Gamma    FALSE #> 11447  716 0.6207014 0.118958633  fv Log-Normal      RP(P), Gamma    FALSE #> 11463  717 0.6726106 0.128777566  fv Log-Normal      RP(P), Gamma    FALSE #> 11479  718 0.7884210 0.149205688  fv Log-Normal      RP(P), Gamma    FALSE #> 11495  719 0.9354300 0.174953745  fv Log-Normal      RP(P), Gamma     TRUE #> 11511  720 0.6328266 0.120907672  fv Log-Normal      RP(P), Gamma    FALSE #> 11527  721 0.5089454 0.100114135  fv Log-Normal      RP(P), Gamma    FALSE #> 11543  722 0.7041724 0.133806495  fv Log-Normal      RP(P), Gamma    FALSE #> 11559  723 0.5814509 0.113499196  fv Log-Normal      RP(P), Gamma    FALSE #> 11575  724 0.6792830 0.131396754  fv Log-Normal      RP(P), Gamma    FALSE #> 11591  725 0.6745890 0.128900101  fv Log-Normal      RP(P), Gamma    FALSE #> 11607  726 0.5696167 0.111100388  fv Log-Normal      RP(P), Gamma    FALSE #> 11623  727 0.6978610 0.132614516  fv Log-Normal      RP(P), Gamma    FALSE #> 11639  728 0.9034155 0.167348520  fv Log-Normal      RP(P), Gamma    FALSE #> 11655  729 0.6633172 0.127045130  fv Log-Normal      RP(P), Gamma    FALSE #> 11671  730 0.7354073 0.139683994  fv Log-Normal      RP(P), Gamma    FALSE #> 11687  731 0.4588272 0.091441953  fv Log-Normal      RP(P), Gamma    FALSE #> 11703  732 0.3973257 0.079866721  fv Log-Normal      RP(P), Gamma    FALSE #> 11719  733 0.7814645 0.146827178  fv Log-Normal      RP(P), Gamma    FALSE #> 11735  734 0.7249903 0.137092513  fv Log-Normal      RP(P), Gamma    FALSE #> 11751  735 0.8071961 0.150405379  fv Log-Normal      RP(P), Gamma    FALSE #> 11767  736 0.7304049 0.138624944  fv Log-Normal      RP(P), Gamma    FALSE #> 11783  737 0.6499469 0.124179968  fv Log-Normal      RP(P), Gamma    FALSE #> 11799  738 0.5145282 0.102065122  fv Log-Normal      RP(P), Gamma    FALSE #> 11815  739 0.5378257 0.105378663  fv Log-Normal      RP(P), Gamma    FALSE #> 11831  740 0.7258771 0.138116188  fv Log-Normal      RP(P), Gamma    FALSE #> 11847  741 0.7920583 0.148213635  fv Log-Normal      RP(P), Gamma    FALSE #> 11863  742 0.5970828 0.115587617  fv Log-Normal      RP(P), Gamma    FALSE #> 11879  743 0.6394701 0.122627568  fv Log-Normal      RP(P), Gamma    FALSE #> 11895  744 0.6091485 0.117450392  fv Log-Normal      RP(P), Gamma    FALSE #> 11911  745 0.6261920 0.120351132  fv Log-Normal      RP(P), Gamma    FALSE #> 11927  746 0.6135938 0.122447852  fv Log-Normal      RP(P), Gamma    FALSE #> 11943  747 0.5673960 0.110262652  fv Log-Normal      RP(P), Gamma    FALSE #> 11959  748 0.8174448 0.154866402  fv Log-Normal      RP(P), Gamma    FALSE #> 11975  749 0.8885850 0.166289328  fv Log-Normal      RP(P), Gamma    FALSE #> 11991  750 0.6699179 0.128164911  fv Log-Normal      RP(P), Gamma    FALSE #> 12007  751 0.7705349 0.145197488  fv Log-Normal      RP(P), Gamma    FALSE #> 12023  752 0.6450425 0.126445127  fv Log-Normal      RP(P), Gamma    FALSE #> 12039  753 0.4026709 0.081871038  fv Log-Normal      RP(P), Gamma    FALSE #> 12055  754 0.6467650 0.123887308  fv Log-Normal      RP(P), Gamma    FALSE #> 12071  755 0.5962017 0.115578760  fv Log-Normal      RP(P), Gamma    FALSE #> 12087  756 0.3445761 0.070995077  fv Log-Normal      RP(P), Gamma     TRUE #> 12103  757 0.6404506 0.123358322  fv Log-Normal      RP(P), Gamma    FALSE #> 12119  758 0.6790225 0.129965624  fv Log-Normal      RP(P), Gamma    FALSE #> 12135  759 0.5793013 0.112522796  fv Log-Normal      RP(P), Gamma    FALSE #> 12151  760 0.8538180 0.161150772  fv Log-Normal      RP(P), Gamma    FALSE #> 12167  761 0.5461966 0.107166035  fv Log-Normal      RP(P), Gamma    FALSE #> 12183  762 0.7113599 0.136036958  fv Log-Normal      RP(P), Gamma    FALSE #> 12199  763 0.5127570 0.101335906  fv Log-Normal      RP(P), Gamma    FALSE #> 12215  764 0.5758858 0.111788456  fv Log-Normal      RP(P), Gamma    FALSE #> 12231  765 0.7675959 0.144097832  fv Log-Normal      RP(P), Gamma    FALSE #> 12247  766 0.5609105 0.108690460  fv Log-Normal      RP(P), Gamma    FALSE #> 12263  767 0.7365808 0.139483235  fv Log-Normal      RP(P), Gamma    FALSE #> 12279  768 0.4824173 0.095129579  fv Log-Normal      RP(P), Gamma    FALSE #> 12295  769 0.8394776 0.157050045  fv Log-Normal      RP(P), Gamma    FALSE #> 12311  770 0.5206753 0.102467205  fv Log-Normal      RP(P), Gamma    FALSE #> 12327  771 0.5324155 0.106859081  fv Log-Normal      RP(P), Gamma    FALSE #> 12343  772 0.5028216 0.098894975  fv Log-Normal      RP(P), Gamma    FALSE #> 12359  773 0.5634591 0.111361709  fv Log-Normal      RP(P), Gamma    FALSE #> 12375  774 0.6726680 0.129487861  fv Log-Normal      RP(P), Gamma    FALSE #> 12391  775 0.6117312 0.118219973  fv Log-Normal      RP(P), Gamma    FALSE #> 12407  776 0.5611248 0.108670367  fv Log-Normal      RP(P), Gamma    FALSE #> 12423  777 0.5629907 0.109897969  fv Log-Normal      RP(P), Gamma    FALSE #> 12439  778 0.5298195 0.103885618  fv Log-Normal      RP(P), Gamma    FALSE #> 12455  779 0.5462480 0.106788201  fv Log-Normal      RP(P), Gamma    FALSE #> 12471  780 0.5444594 0.106379957  fv Log-Normal      RP(P), Gamma    FALSE #> 12487  781 0.6444463 0.124004297  fv Log-Normal      RP(P), Gamma    FALSE #> 12503  782 0.5443616 0.106294312  fv Log-Normal      RP(P), Gamma    FALSE #> 12519  783 0.5651637 0.110239835  fv Log-Normal      RP(P), Gamma    FALSE #> 12535  784 0.7141628 0.136152496  fv Log-Normal      RP(P), Gamma    FALSE #> 12551  785 0.4331883 0.086467176  fv Log-Normal      RP(P), Gamma    FALSE #> 12567  786 0.5881396 0.114710602  fv Log-Normal      RP(P), Gamma    FALSE #> 12583  787 0.8314603 0.155149305  fv Log-Normal      RP(P), Gamma    FALSE #> 12599  788 0.6241300 0.120299910  fv Log-Normal      RP(P), Gamma    FALSE #> 12615  789 0.7653722 0.144630922  fv Log-Normal      RP(P), Gamma    FALSE #> 12631  790 0.6111340 0.117710305  fv Log-Normal      RP(P), Gamma    FALSE #> 12647  791 0.3753609 0.075903655  fv Log-Normal      RP(P), Gamma     TRUE #> 12663  792 0.5553672 0.110018225  fv Log-Normal      RP(P), Gamma    FALSE #> 12679  793 0.7380648 0.139320411  fv Log-Normal      RP(P), Gamma    FALSE #> 12695  794 0.6753683 0.133256274  fv Log-Normal      RP(P), Gamma    FALSE #> 12711  795 0.5768839 0.112455428  fv Log-Normal      RP(P), Gamma    FALSE #> 12727  796 0.5128957 0.100971449  fv Log-Normal      RP(P), Gamma    FALSE #> 12743  797 0.5171431 0.101337411  fv Log-Normal      RP(P), Gamma    FALSE #> 12759  798 0.4026960 0.081677375  fv Log-Normal      RP(P), Gamma    FALSE #> 12775  799 0.6303514 0.120628692  fv Log-Normal      RP(P), Gamma    FALSE #> 12791  800 0.6501893 0.125184344  fv Log-Normal      RP(P), Gamma    FALSE #> 12807  801 0.9250278 0.172573485  fv Log-Normal      RP(P), Gamma     TRUE #> 12823  802 0.6252328 0.119546062  fv Log-Normal      RP(P), Gamma    FALSE #> 12839  803 0.6134816 0.118753122  fv Log-Normal      RP(P), Gamma    FALSE #> 12855  804 0.6678647 0.127903390  fv Log-Normal      RP(P), Gamma    FALSE #> 12871  805 0.8631726 0.164708763  fv Log-Normal      RP(P), Gamma    FALSE #> 12887  806 0.8331630 0.159110944  fv Log-Normal      RP(P), Gamma    FALSE #> 12903  807 0.6846960 0.136036587  fv Log-Normal      RP(P), Gamma    FALSE #> 12919  808 0.4612360 0.091479967  fv Log-Normal      RP(P), Gamma    FALSE #> 12935  809 0.5738387 0.111513989  fv Log-Normal      RP(P), Gamma    FALSE #> 12951  810 0.6283526 0.120695686  fv Log-Normal      RP(P), Gamma    FALSE #> 12967  811 0.4109691 0.082520063  fv Log-Normal      RP(P), Gamma    FALSE #> 12983  812 0.6375459 0.123083940  fv Log-Normal      RP(P), Gamma    FALSE #> 12999  813 0.7069596 0.133763426  fv Log-Normal      RP(P), Gamma    FALSE #> 13015  814 0.6129295 0.118654574  fv Log-Normal      RP(P), Gamma    FALSE #> 13031  815 0.5429190 0.107859435  fv Log-Normal      RP(P), Gamma    FALSE #> 13047  816 0.5861718 0.113598258  fv Log-Normal      RP(P), Gamma    FALSE #> 13063  817 0.4079590 0.082085894  fv Log-Normal      RP(P), Gamma    FALSE #> 13079  818 0.6366459 0.124630856  fv Log-Normal      RP(P), Gamma    FALSE #> 13095  819 0.7049751 0.133589547  fv Log-Normal      RP(P), Gamma    FALSE #> 13111  820 0.8116920 0.153995715  fv Log-Normal      RP(P), Gamma    FALSE #> 13127  821 0.4937436 0.097102999  fv Log-Normal      RP(P), Gamma    FALSE #> 13143  822 0.8114681 0.152991774  fv Log-Normal      RP(P), Gamma    FALSE #> 13159  823 0.9386106 0.175718415  fv Log-Normal      RP(P), Gamma     TRUE #> 13175  824 0.7808530 0.147394509  fv Log-Normal      RP(P), Gamma    FALSE #> 13191  825 0.7047845 0.134917093  fv Log-Normal      RP(P), Gamma    FALSE #> 13207  826 0.7088981 0.135782107  fv Log-Normal      RP(P), Gamma    FALSE #> 13223  827 0.8137925 0.154712370  fv Log-Normal      RP(P), Gamma    FALSE #> 13239  828 0.5961539 0.116832078  fv Log-Normal      RP(P), Gamma    FALSE #> 13255  829 0.6508909 0.125234317  fv Log-Normal      RP(P), Gamma    FALSE #> 13271  830 0.7521623 0.142500178  fv Log-Normal      RP(P), Gamma    FALSE #> 13287  831 0.6926346 0.131352292  fv Log-Normal      RP(P), Gamma    FALSE #> 13303  832 0.4914520 0.097328337  fv Log-Normal      RP(P), Gamma    FALSE #> 13319  833 0.7543088 0.142866110  fv Log-Normal      RP(P), Gamma    FALSE #> 13335  834 0.5803865 0.113194461  fv Log-Normal      RP(P), Gamma    FALSE #> 13351  835 0.6213117 0.120310790  fv Log-Normal      RP(P), Gamma    FALSE #> 13367  836 0.6794638 0.130019762  fv Log-Normal      RP(P), Gamma    FALSE #> 13383  837 0.7571700 0.144029552  fv Log-Normal      RP(P), Gamma    FALSE #> 13399  838 0.6022522 0.116527948  fv Log-Normal      RP(P), Gamma    FALSE #> 13415  839 0.5678387 0.111762360  fv Log-Normal      RP(P), Gamma    FALSE #> 13431  840 0.5794574 0.112732652  fv Log-Normal      RP(P), Gamma    FALSE #> 13447  841 0.9027367 0.169264440  fv Log-Normal      RP(P), Gamma     TRUE #> 13463  842 0.4945054 0.097465716  fv Log-Normal      RP(P), Gamma    FALSE #> 13479  843 0.6164251 0.120453087  fv Log-Normal      RP(P), Gamma    FALSE #> 13495  844 0.7770622 0.145721886  fv Log-Normal      RP(P), Gamma    FALSE #> 13511  845 0.8054185 0.151160755  fv Log-Normal      RP(P), Gamma    FALSE #> 13527  846 0.4947152 0.097800871  fv Log-Normal      RP(P), Gamma    FALSE #> 13543  847 0.8873520 0.164465959  fv Log-Normal      RP(P), Gamma    FALSE #> 13559  848 0.6732286 0.128419353  fv Log-Normal      RP(P), Gamma    FALSE #> 13575  849 0.5501974 0.107615525  fv Log-Normal      RP(P), Gamma    FALSE #> 13591  850 0.7657343 0.145271938  fv Log-Normal      RP(P), Gamma    FALSE #> 13607  851 0.5838296 0.112816077  fv Log-Normal      RP(P), Gamma    FALSE #> 13623  852 0.6089890 0.117360510  fv Log-Normal      RP(P), Gamma    FALSE #> 13639  853 0.8570792 0.158811310  fv Log-Normal      RP(P), Gamma    FALSE #> 13655  854 0.6181706 0.120058291  fv Log-Normal      RP(P), Gamma    FALSE #> 13671  855 0.5443013 0.106559331  fv Log-Normal      RP(P), Gamma    FALSE #> 13687  856 0.7619340 0.144167343  fv Log-Normal      RP(P), Gamma    FALSE #> 13703  857 0.7054784 0.134681813  fv Log-Normal      RP(P), Gamma    FALSE #> 13719  858 0.8737770 0.162469522  fv Log-Normal      RP(P), Gamma    FALSE #> 13735  859 0.8436609 0.158355957  fv Log-Normal      RP(P), Gamma    FALSE #> 13751  860 0.6203294 0.120462203  fv Log-Normal      RP(P), Gamma    FALSE #> 13767  861 0.4246650 0.085201724  fv Log-Normal      RP(P), Gamma    FALSE #> 13783  862 0.5717094 0.110974928  fv Log-Normal      RP(P), Gamma    FALSE #> 13799  863 0.5930878 0.114981994  fv Log-Normal      RP(P), Gamma    FALSE #> 13815  864 0.7889726 0.148845738  fv Log-Normal      RP(P), Gamma    FALSE #> 13831  865 0.8396676 0.157504805  fv Log-Normal      RP(P), Gamma    FALSE #> 13847  866 0.7315134 0.140372989  fv Log-Normal      RP(P), Gamma    FALSE #> 13863  867 0.5339683 0.105161674  fv Log-Normal      RP(P), Gamma    FALSE #> 13879  868 0.8342745 0.157649889  fv Log-Normal      RP(P), Gamma    FALSE #> 13895  869 0.4553345 0.090508558  fv Log-Normal      RP(P), Gamma    FALSE #> 13911  870 0.7264093 0.138973381  fv Log-Normal      RP(P), Gamma    FALSE #> 13927  871 0.4569173 0.091103928  fv Log-Normal      RP(P), Gamma    FALSE #> 13943  872 0.4280552 0.086058153  fv Log-Normal      RP(P), Gamma    FALSE #> 13959  873 0.7410597 0.139690887  fv Log-Normal      RP(P), Gamma    FALSE #> 13975  874 0.6408185 0.123644052  fv Log-Normal      RP(P), Gamma    FALSE #> 13991  875 0.5388062 0.104971339  fv Log-Normal      RP(P), Gamma    FALSE #> 14007  876 0.5538235 0.108515653  fv Log-Normal      RP(P), Gamma    FALSE #> 14023  877 0.5173804 0.102558125  fv Log-Normal      RP(P), Gamma    FALSE #> 14039  878 0.6131328 0.119010688  fv Log-Normal      RP(P), Gamma    FALSE #> 14055  879 0.6097417 0.118099906  fv Log-Normal      RP(P), Gamma    FALSE #> 14071  880 0.7281233 0.137755819  fv Log-Normal      RP(P), Gamma    FALSE #> 14087  881 0.4819108 0.095257938  fv Log-Normal      RP(P), Gamma    FALSE #> 14103  882 0.6543178 0.126842054  fv Log-Normal      RP(P), Gamma    FALSE #> 14119  883 0.5607813 0.109303367  fv Log-Normal      RP(P), Gamma    FALSE #> 14135  884 0.4932391 0.097437433  fv Log-Normal      RP(P), Gamma    FALSE #> 14151  885 0.6588153 0.126232716  fv Log-Normal      RP(P), Gamma    FALSE #> 14167  886 0.5743023 0.112137457  fv Log-Normal      RP(P), Gamma    FALSE #> 14183  887 0.3462275 0.071202207  fv Log-Normal      RP(P), Gamma     TRUE #> 14199  888 0.5389566 0.105124924  fv Log-Normal      RP(P), Gamma    FALSE #> 14215  889 0.6030921 0.116845053  fv Log-Normal      RP(P), Gamma    FALSE #> 14231  890 0.6118626 0.117833825  fv Log-Normal      RP(P), Gamma    FALSE #> 14247  891 0.6524154 0.124896117  fv Log-Normal      RP(P), Gamma    FALSE #> 14263  892 0.9531941 0.178350481  fv Log-Normal      RP(P), Gamma     TRUE #> 14279  893 0.4343296 0.087215814  fv Log-Normal      RP(P), Gamma    FALSE #> 14295  894 0.5594749 0.110073852  fv Log-Normal      RP(P), Gamma    FALSE #> 14311  895 0.7014979 0.134457311  fv Log-Normal      RP(P), Gamma    FALSE #> 14327  896 0.4731205 0.093660204  fv Log-Normal      RP(P), Gamma    FALSE #> 14343  897 0.5714472 0.110989910  fv Log-Normal      RP(P), Gamma    FALSE #> 14359  898 0.6785190 0.129913470  fv Log-Normal      RP(P), Gamma    FALSE #> 14375  899 0.7737308 0.149258753  fv Log-Normal      RP(P), Gamma    FALSE #> 14391  900 0.6258468 0.120819485  fv Log-Normal      RP(P), Gamma    FALSE #> 14407  901 0.6898911 0.131170243  fv Log-Normal      RP(P), Gamma    FALSE #> 14423  902 0.7154328 0.135521156  fv Log-Normal      RP(P), Gamma    FALSE #> 14439  903 0.5104288 0.100779991  fv Log-Normal      RP(P), Gamma    FALSE #> 14455  904 0.5856834 0.113572720  fv Log-Normal      RP(P), Gamma    FALSE #> 14471  905 0.6004749 0.115324014  fv Log-Normal      RP(P), Gamma    FALSE #> 14487  906 0.6359688 0.122586572  fv Log-Normal      RP(P), Gamma    FALSE #> 14503  907 0.5900934 0.115657031  fv Log-Normal      RP(P), Gamma    FALSE #> 14519  908 0.4540465 0.090511303  fv Log-Normal      RP(P), Gamma    FALSE #> 14535  909 0.7511004 0.141521670  fv Log-Normal      RP(P), Gamma    FALSE #> 14551  910 0.5658137 0.110268564  fv Log-Normal      RP(P), Gamma    FALSE #> 14567  911 0.6072191 0.117365255  fv Log-Normal      RP(P), Gamma    FALSE #> 14583  912 0.3616722 0.073972649  fv Log-Normal      RP(P), Gamma     TRUE #> 14599  913 0.5503152 0.107431667  fv Log-Normal      RP(P), Gamma    FALSE #> 14615  914 0.7685300 0.145147343  fv Log-Normal      RP(P), Gamma    FALSE #> 14631  915 0.5856077 0.113156906  fv Log-Normal      RP(P), Gamma    FALSE #> 14647  916 0.6230510 0.119988154  fv Log-Normal      RP(P), Gamma    FALSE #> 14663  917 0.4810465 0.096021894  fv Log-Normal      RP(P), Gamma    FALSE #> 14679  918 0.5535167 0.109209013  fv Log-Normal      RP(P), Gamma    FALSE #> 14695  919 0.6199536 0.120122996  fv Log-Normal      RP(P), Gamma    FALSE #> 14711  920 0.5967302 0.115422824  fv Log-Normal      RP(P), Gamma    FALSE #> 14727  921 0.9743057 0.178872657  fv Log-Normal      RP(P), Gamma     TRUE #> 14743  922 0.5749685 0.112106133  fv Log-Normal      RP(P), Gamma    FALSE #> 14759  923 0.8627857 0.160537625  fv Log-Normal      RP(P), Gamma    FALSE #> 14775  924 0.6123826 0.118440207  fv Log-Normal      RP(P), Gamma    FALSE #> 14791  925 0.6977269 0.134168790  fv Log-Normal      RP(P), Gamma    FALSE #> 14807  926 0.7560266 0.142158465  fv Log-Normal      RP(P), Gamma    FALSE #> 14823  927 0.7244242 0.137428355  fv Log-Normal      RP(P), Gamma    FALSE #> 14839  928 0.6414165 0.123785383  fv Log-Normal      RP(P), Gamma    FALSE #> 14855  929 0.6732490 0.128390941  fv Log-Normal      RP(P), Gamma    FALSE #> 14871  930 0.5125839 0.101497596  fv Log-Normal      RP(P), Gamma    FALSE #> 14887  931 0.7127123 0.136040162  fv Log-Normal      RP(P), Gamma    FALSE #> 14903  932 0.5071163 0.100658331  fv Log-Normal      RP(P), Gamma    FALSE #> 14919  933 0.4956539 0.097351924  fv Log-Normal      RP(P), Gamma    FALSE #> 14935  934 0.6492066 0.125778769  fv Log-Normal      RP(P), Gamma    FALSE #> 14951  935 0.7579194 0.142654366  fv Log-Normal      RP(P), Gamma    FALSE #> 14967  936 0.6662641 0.128059082  fv Log-Normal      RP(P), Gamma    FALSE #> 14983  937 0.6552375 0.124704511  fv Log-Normal      RP(P), Gamma    FALSE #> 14999  938 0.6935610 0.131635443  fv Log-Normal      RP(P), Gamma    FALSE #> 15015  939 0.5076373 0.099638563  fv Log-Normal      RP(P), Gamma    FALSE #> 15031  940 0.6941711 0.133443392  fv Log-Normal      RP(P), Gamma    FALSE #> 15047  941 0.4272667 0.085962338  fv Log-Normal      RP(P), Gamma    FALSE #> 15063  942 0.7084198 0.133980596  fv Log-Normal      RP(P), Gamma    FALSE #> 15079  943 0.4592534 0.091044580  fv Log-Normal      RP(P), Gamma    FALSE #> 15095  944 0.5670107 0.110185647  fv Log-Normal      RP(P), Gamma    FALSE #> 15111  945 0.9419069 0.175234747  fv Log-Normal      RP(P), Gamma     TRUE #> 15127  946 0.7159091 0.136177032  fv Log-Normal      RP(P), Gamma    FALSE #> 15143  947 0.7179454 0.135868745  fv Log-Normal      RP(P), Gamma    FALSE #> 15159  948 0.4495258 0.091309189  fv Log-Normal      RP(P), Gamma    FALSE #> 15175  949 0.5815352 0.112460379  fv Log-Normal      RP(P), Gamma    FALSE #> 15191  950 0.6932335 0.132488165  fv Log-Normal      RP(P), Gamma    FALSE #> 15207  951 0.4666819 0.092380052  fv Log-Normal      RP(P), Gamma    FALSE #> 15223  952 0.5314269 0.103829685  fv Log-Normal      RP(P), Gamma    FALSE #> 15239  953 0.5565247 0.109149397  fv Log-Normal      RP(P), Gamma    FALSE #> 15255  954 0.7841108 0.150127737  fv Log-Normal      RP(P), Gamma    FALSE #> 15271  955 0.6303305 0.121517200  fv Log-Normal      RP(P), Gamma    FALSE #> 15287  956 0.7256964 0.136703077  fv Log-Normal      RP(P), Gamma    FALSE #> 15303  957 0.5263540 0.102902469  fv Log-Normal      RP(P), Gamma    FALSE #> 15319  958 0.5512942 0.108239740  fv Log-Normal      RP(P), Gamma    FALSE #> 15335  959 0.6362485 0.122428233  fv Log-Normal      RP(P), Gamma    FALSE #> 15351  960 0.4981004 0.097951714  fv Log-Normal      RP(P), Gamma    FALSE #> 15367  961 0.7240723 0.136822170  fv Log-Normal      RP(P), Gamma    FALSE #> 15383  962 0.6738336 0.128430099  fv Log-Normal      RP(P), Gamma    FALSE #> 15399  963 0.8590658 0.161400634  fv Log-Normal      RP(P), Gamma    FALSE #> 15415  964 0.6778286 0.131550538  fv Log-Normal      RP(P), Gamma    FALSE #> 15431  965 0.4974168 0.098176690  fv Log-Normal      RP(P), Gamma    FALSE #> 15447  966 0.8272373 0.153861102  fv Log-Normal      RP(P), Gamma    FALSE #> 15463  967 0.8021231 0.151700494  fv Log-Normal      RP(P), Gamma    FALSE #> 15479  968 0.7554846 0.144617670  fv Log-Normal      RP(P), Gamma    FALSE #> 15495  969 0.9243088 0.170805922  fv Log-Normal      RP(P), Gamma     TRUE #> 15511  970 0.7071617 0.135442111  fv Log-Normal      RP(P), Gamma    FALSE #> 15527  971 0.7640821 0.143246252  fv Log-Normal      RP(P), Gamma    FALSE #> 15543  972 0.5395954 0.105794951  fv Log-Normal      RP(P), Gamma    FALSE #> 15559  973 0.7931946 0.148915324  fv Log-Normal      RP(P), Gamma    FALSE #> 15575  974 0.8197008 0.153760685  fv Log-Normal      RP(P), Gamma    FALSE #> 15591  975 0.8907927 0.164905062  fv Log-Normal      RP(P), Gamma    FALSE #> 15607  976 0.7038651 0.135980149  fv Log-Normal      RP(P), Gamma    FALSE #> 15623  977 0.9187497 0.170234899  fv Log-Normal      RP(P), Gamma     TRUE #> 15639  978 0.7007673 0.133951052  fv Log-Normal      RP(P), Gamma    FALSE #> 15655  979 0.5554255 0.108409573  fv Log-Normal      RP(P), Gamma    FALSE #> 15671  980 0.6745765 0.129438354  fv Log-Normal      RP(P), Gamma    FALSE #> 15687  981 0.5670618 0.109771497  fv Log-Normal      RP(P), Gamma    FALSE #> 15703  982 0.5361854 0.104634937  fv Log-Normal      RP(P), Gamma    FALSE #> 15719  983 0.6498347 0.124437335  fv Log-Normal      RP(P), Gamma    FALSE #> 15735  984 0.6185397 0.120212982  fv Log-Normal      RP(P), Gamma    FALSE #> 15751  985 0.7716535 0.145635881  fv Log-Normal      RP(P), Gamma    FALSE #> 15767  986 0.6954360 0.133693819  fv Log-Normal      RP(P), Gamma    FALSE #> 15783  987 0.6610757 0.128995735  fv Log-Normal      RP(P), Gamma    FALSE #> 15799  988 0.7090702 0.134191221  fv Log-Normal      RP(P), Gamma    FALSE #> 15815  989 0.7499270 0.140913712  fv Log-Normal      RP(P), Gamma    FALSE #> 15831  990 0.6791009 0.130402853  fv Log-Normal      RP(P), Gamma    FALSE #> 15847  991 0.7486170 0.141785330  fv Log-Normal      RP(P), Gamma    FALSE #> 15863  992 0.6478979 0.124552181  fv Log-Normal      RP(P), Gamma    FALSE #> 15879  993 0.6378838 0.121975666  fv Log-Normal      RP(P), Gamma    FALSE #> 15895  994 0.6296675 0.123056122  fv Log-Normal      RP(P), Gamma    FALSE #> 15911  995 0.5297010 0.103909524  fv Log-Normal      RP(P), Gamma    FALSE #> 15927  996 0.6733473 0.130527337  fv Log-Normal      RP(P), Gamma    FALSE #> 15943  997 0.5759983 0.111233442  fv Log-Normal      RP(P), Gamma    FALSE #> 15959  998 0.5520605 0.108023635  fv Log-Normal      RP(P), Gamma    FALSE #> 15975  999 0.6755070 0.129234930  fv Log-Normal      RP(P), Gamma    FALSE #> 15991 1000 0.5820900 0.112838328  fv Log-Normal      RP(P), Gamma    FALSE #> 8        1 0.7587269 0.160310074  fv Log-Normal RP(P), Log-Normal    FALSE #> 24       2 0.6427095 0.136481613  fv Log-Normal RP(P), Log-Normal    FALSE #> 40       3 0.8272743 0.174133172  fv Log-Normal RP(P), Log-Normal    FALSE #> 56       4 0.6154492 0.132224678  fv Log-Normal RP(P), Log-Normal    FALSE #> 72       5 1.0040595 0.212010663  fv Log-Normal RP(P), Log-Normal    FALSE #> 88       6 0.8839655 0.187498893  fv Log-Normal RP(P), Log-Normal    FALSE #> 104      7 0.5927076 0.126010284  fv Log-Normal RP(P), Log-Normal    FALSE #> 120      8 0.8303076 0.176094173  fv Log-Normal RP(P), Log-Normal    FALSE #> 136      9 0.7248036 0.153480938  fv Log-Normal RP(P), Log-Normal    FALSE #> 152     10 1.0116901 0.215026028  fv Log-Normal RP(P), Log-Normal    FALSE #> 168     11 0.9163779 0.192812176  fv Log-Normal RP(P), Log-Normal    FALSE #> 184     12 0.5531775 0.117536667  fv Log-Normal RP(P), Log-Normal    FALSE #> 200     13 0.8309998 0.174965974  fv Log-Normal RP(P), Log-Normal    FALSE #> 216     14 0.8142702 0.172262423  fv Log-Normal RP(P), Log-Normal    FALSE #> 232     15 0.7403548 0.157621039  fv Log-Normal RP(P), Log-Normal    FALSE #> 248     16 0.5815212 0.124702775  fv Log-Normal RP(P), Log-Normal    FALSE #> 264     17 0.6448992 0.136415060  fv Log-Normal RP(P), Log-Normal    FALSE #> 280     18 0.8723504 0.185445247  fv Log-Normal RP(P), Log-Normal    FALSE #> 296     19 0.9424444 0.197979689  fv Log-Normal RP(P), Log-Normal    FALSE #> 312     20 0.6112837 0.130269558  fv Log-Normal RP(P), Log-Normal    FALSE #> 328     21 0.7055255 0.150812066  fv Log-Normal RP(P), Log-Normal    FALSE #> 344     22 0.6008341 0.128261543  fv Log-Normal RP(P), Log-Normal    FALSE #> 360     23 0.8761728 0.183388185  fv Log-Normal RP(P), Log-Normal    FALSE #> 376     24 0.8105771 0.171983797  fv Log-Normal RP(P), Log-Normal    FALSE #> 392     25 0.6233797 0.132823464  fv Log-Normal RP(P), Log-Normal    FALSE #> 408     26 0.7552494 0.159767947  fv Log-Normal RP(P), Log-Normal    FALSE #> 424     27 0.5365736 0.118347519  fv Log-Normal RP(P), Log-Normal    FALSE #> 440     28 0.7291543 0.155121274  fv Log-Normal RP(P), Log-Normal    FALSE #> 456     29 1.0757698 0.224219202  fv Log-Normal RP(P), Log-Normal     TRUE #> 472     30 0.7238761 0.156782077  fv Log-Normal RP(P), Log-Normal    FALSE #> 488     31 0.5599923 0.120185524  fv Log-Normal RP(P), Log-Normal    FALSE #> 504     32 0.5305952 0.112891465  fv Log-Normal RP(P), Log-Normal    FALSE #> 520     33 0.7705200 0.164509859  fv Log-Normal RP(P), Log-Normal    FALSE #> 536     34 0.9181142 0.193544815  fv Log-Normal RP(P), Log-Normal    FALSE #> 552     35 0.5262293 0.112984685  fv Log-Normal RP(P), Log-Normal    FALSE #> 568     36 0.5191213 0.111910048  fv Log-Normal RP(P), Log-Normal    FALSE #> 584     37 0.7019126 0.149573895  fv Log-Normal RP(P), Log-Normal    FALSE #> 600     38 0.6378678 0.135525656  fv Log-Normal RP(P), Log-Normal    FALSE #> 616     39 0.8017794 0.170404386  fv Log-Normal RP(P), Log-Normal    FALSE #> 632     40 0.5714472 0.121859157  fv Log-Normal RP(P), Log-Normal    FALSE #> 648     41 0.8335074 0.177134554  fv Log-Normal RP(P), Log-Normal    FALSE #> 664     42 0.5632683 0.120257577  fv Log-Normal RP(P), Log-Normal    FALSE #> 680     43 0.5641544 0.122123217  fv Log-Normal RP(P), Log-Normal    FALSE #> 696     44 0.7949684 0.169464289  fv Log-Normal RP(P), Log-Normal    FALSE #> 712     45 0.6326050 0.134725078  fv Log-Normal RP(P), Log-Normal    FALSE #> 728     46 0.3403314 0.074346940  fv Log-Normal RP(P), Log-Normal     TRUE #> 744     47 0.9563960 0.202431253  fv Log-Normal RP(P), Log-Normal    FALSE #> 760     48 0.8868588 0.187192828  fv Log-Normal RP(P), Log-Normal    FALSE #> 776     49 0.9689607 0.202879027  fv Log-Normal RP(P), Log-Normal    FALSE #> 792     50 0.6034856 0.129155376  fv Log-Normal RP(P), Log-Normal    FALSE #> 808     51 0.8875662 0.188455833  fv Log-Normal RP(P), Log-Normal    FALSE #> 824     52 0.5304852 0.114409866  fv Log-Normal RP(P), Log-Normal    FALSE #> 840     53 0.9347285 0.195611763  fv Log-Normal RP(P), Log-Normal    FALSE #> 856     54 0.7253010 0.153848983  fv Log-Normal RP(P), Log-Normal    FALSE #> 872     55 0.9365095 0.197246816  fv Log-Normal RP(P), Log-Normal    FALSE #> 888     56 0.7698460 0.161108352  fv Log-Normal RP(P), Log-Normal    FALSE #> 904     57 0.9240850 0.195363045  fv Log-Normal RP(P), Log-Normal    FALSE #> 920     58 0.7679395 0.161928888  fv Log-Normal RP(P), Log-Normal    FALSE #> 936     59 0.7182305 0.151499862  fv Log-Normal RP(P), Log-Normal    FALSE #> 952     60 1.0058746 0.216721875  fv Log-Normal RP(P), Log-Normal    FALSE #> 968     61 0.7566231 0.160366843  fv Log-Normal RP(P), Log-Normal    FALSE #> 984     62 0.6235933 0.132341918  fv Log-Normal RP(P), Log-Normal    FALSE #> 1000    63 0.8330331 0.174751715  fv Log-Normal RP(P), Log-Normal    FALSE #> 1016    64 0.7372343 0.154560392  fv Log-Normal RP(P), Log-Normal    FALSE #> 1032    65 0.9324597 0.196214421  fv Log-Normal RP(P), Log-Normal    FALSE #> 1048    66 0.6556111 0.140836763  fv Log-Normal RP(P), Log-Normal    FALSE #> 1064    67 0.6283832 0.133766573  fv Log-Normal RP(P), Log-Normal    FALSE #> 1080    68 0.5259450 0.113787629  fv Log-Normal RP(P), Log-Normal    FALSE #> 1096    69 0.8150040 0.171983367  fv Log-Normal RP(P), Log-Normal    FALSE #> 1112    70 0.7752526 0.163616805  fv Log-Normal RP(P), Log-Normal    FALSE #> 1128    71 1.0256382 0.217584719  fv Log-Normal RP(P), Log-Normal    FALSE #> 1144    72 0.6090315 0.129986511  fv Log-Normal RP(P), Log-Normal    FALSE #> 1160    73 0.7378555 0.157540359  fv Log-Normal RP(P), Log-Normal    FALSE #> 1176    74 0.4266073 0.091598299  fv Log-Normal RP(P), Log-Normal    FALSE #> 1192    75 0.7264828 0.153774539  fv Log-Normal RP(P), Log-Normal    FALSE #> 1208    76 0.6558995 0.140177692  fv Log-Normal RP(P), Log-Normal    FALSE #> 1224    77 0.8527293 0.179762381  fv Log-Normal RP(P), Log-Normal    FALSE #> 1240    78 0.7870716 0.165681047  fv Log-Normal RP(P), Log-Normal    FALSE #> 1256    79 1.0961721 0.229344262  fv Log-Normal RP(P), Log-Normal     TRUE #> 1272    80 0.5928102 0.126126879  fv Log-Normal RP(P), Log-Normal    FALSE #> 1288    81 1.0116718 0.212214328  fv Log-Normal RP(P), Log-Normal    FALSE #> 1304    82 0.6932804 0.146529625  fv Log-Normal RP(P), Log-Normal    FALSE #> 1320    83 0.8128450 0.173169547  fv Log-Normal RP(P), Log-Normal    FALSE #> 1336    84 0.6546543 0.140338914  fv Log-Normal RP(P), Log-Normal    FALSE #> 1352    85 0.6580420 0.139756530  fv Log-Normal RP(P), Log-Normal    FALSE #> 1368    86 0.5651574 0.120395675  fv Log-Normal RP(P), Log-Normal    FALSE #> 1384    87 0.7739794 0.164331266  fv Log-Normal RP(P), Log-Normal    FALSE #> 1400    88 0.7745832 0.167238556  fv Log-Normal RP(P), Log-Normal    FALSE #> 1416    89 1.0368143 0.217170812  fv Log-Normal RP(P), Log-Normal    FALSE #> 1432    90 0.8166873 0.170720378  fv Log-Normal RP(P), Log-Normal    FALSE #> 1448    91 0.9071331 0.190130518  fv Log-Normal RP(P), Log-Normal    FALSE #> 1464    92 0.8923346 0.189677791  fv Log-Normal RP(P), Log-Normal    FALSE #> 1480    93 0.6132879 0.130286551  fv Log-Normal RP(P), Log-Normal    FALSE #> 1496    94 0.8505242 0.181240095  fv Log-Normal RP(P), Log-Normal    FALSE #> 1512    95 0.6782855 0.143566528  fv Log-Normal RP(P), Log-Normal    FALSE #> 1528    96 0.5793421 0.124444915  fv Log-Normal RP(P), Log-Normal    FALSE #> 1544    97 0.8184744 0.172217358  fv Log-Normal RP(P), Log-Normal    FALSE #> 1560    98 0.4638964 0.100253533  fv Log-Normal RP(P), Log-Normal    FALSE #> 1576    99 0.9303806 0.199727243  fv Log-Normal RP(P), Log-Normal    FALSE #> 1592   100 0.6869339 0.148166559  fv Log-Normal RP(P), Log-Normal    FALSE #> 1608   101 0.6467181 0.136969509  fv Log-Normal RP(P), Log-Normal    FALSE #> 1624   102 0.4957626 0.105808839  fv Log-Normal RP(P), Log-Normal    FALSE #> 1640   103 0.7884881 0.166125050  fv Log-Normal RP(P), Log-Normal    FALSE #> 1656   104 0.7369302 0.156103668  fv Log-Normal RP(P), Log-Normal    FALSE #> 1672   105 0.4680770 0.100530696  fv Log-Normal RP(P), Log-Normal    FALSE #> 1688   106 0.6814912 0.146176406  fv Log-Normal RP(P), Log-Normal    FALSE #> 1704   107 0.8653450 0.182292080  fv Log-Normal RP(P), Log-Normal    FALSE #> 1720   108 0.7160621 0.153662080  fv Log-Normal RP(P), Log-Normal    FALSE #> 1736   109 0.9318352 0.195104641  fv Log-Normal RP(P), Log-Normal    FALSE #> 1752   110 0.9333831 0.197785385  fv Log-Normal RP(P), Log-Normal    FALSE #> 1768   111 0.6395728 0.135269065  fv Log-Normal RP(P), Log-Normal    FALSE #> 1784   112 0.7016627 0.147545888  fv Log-Normal RP(P), Log-Normal    FALSE #> 1800   113 0.8576238 0.179983637  fv Log-Normal RP(P), Log-Normal    FALSE #> 1816   114 0.6710954 0.142328711  fv Log-Normal RP(P), Log-Normal    FALSE #> 1832   115 0.7820406 0.166205449  fv Log-Normal RP(P), Log-Normal    FALSE #> 1848   116 0.7939534 0.167711038  fv Log-Normal RP(P), Log-Normal    FALSE #> 1864   117 0.8430940 0.176684051  fv Log-Normal RP(P), Log-Normal    FALSE #> 1880   118 0.6212618 0.132330606  fv Log-Normal RP(P), Log-Normal    FALSE #> 1896   119 0.5727404 0.121504334  fv Log-Normal RP(P), Log-Normal    FALSE #> 1912   120 0.8243130 0.174444030  fv Log-Normal RP(P), Log-Normal    FALSE #> 1928   121 0.7202072 0.152475354  fv Log-Normal RP(P), Log-Normal    FALSE #> 1944   122 0.5561335 0.119749873  fv Log-Normal RP(P), Log-Normal    FALSE #> 1960   123 0.5294622 0.113195261  fv Log-Normal RP(P), Log-Normal    FALSE #> 1976   124 0.5606144 0.119830783  fv Log-Normal RP(P), Log-Normal    FALSE #> 1992   125 0.5467464 0.117088993  fv Log-Normal RP(P), Log-Normal    FALSE #> 2008   126 1.2215715 0.256569950  fv Log-Normal RP(P), Log-Normal     TRUE #> 2024   127 0.5218994 0.113209374  fv Log-Normal RP(P), Log-Normal    FALSE #> 2040   128 0.5216607 0.111937164  fv Log-Normal RP(P), Log-Normal    FALSE #> 2056   129 0.7174736 0.154534528  fv Log-Normal RP(P), Log-Normal    FALSE #> 2072   130 0.5770054 0.123890286  fv Log-Normal RP(P), Log-Normal    FALSE #> 2088   131 0.6689280 0.142266715  fv Log-Normal RP(P), Log-Normal    FALSE #> 2104   132 0.7957550 0.170120599  fv Log-Normal RP(P), Log-Normal    FALSE #> 2120   133 0.9412438 0.196855270  fv Log-Normal RP(P), Log-Normal    FALSE #> 2136   134 1.0838532 0.226912038  fv Log-Normal RP(P), Log-Normal     TRUE #> 2152   135 0.6648603 0.140092983  fv Log-Normal RP(P), Log-Normal    FALSE #> 2168   136 0.5492014 0.117363787  fv Log-Normal RP(P), Log-Normal    FALSE #> 2184   137 0.5291266 0.115402392  fv Log-Normal RP(P), Log-Normal    FALSE #> 2200   138 0.5264330 0.112494837  fv Log-Normal RP(P), Log-Normal    FALSE #> 2216   139 0.7533269 0.160159857  fv Log-Normal RP(P), Log-Normal    FALSE #> 2232   140 0.8110847 0.171158128  fv Log-Normal RP(P), Log-Normal    FALSE #> 2248   141 0.4367489 0.094597121  fv Log-Normal RP(P), Log-Normal    FALSE #> 2264   142 0.4940670 0.106169645  fv Log-Normal RP(P), Log-Normal    FALSE #> 2280   143 0.5794493 0.122951278  fv Log-Normal RP(P), Log-Normal    FALSE #> 2296   144 0.6778027 0.143521271  fv Log-Normal RP(P), Log-Normal    FALSE #> 2312   145 0.5837892 0.125941371  fv Log-Normal RP(P), Log-Normal    FALSE #> 2328   146 0.7325227 0.154220307  fv Log-Normal RP(P), Log-Normal    FALSE #> 2344   147 0.6357226 0.135958395  fv Log-Normal RP(P), Log-Normal    FALSE #> 2360   148 0.5487951 0.117138970  fv Log-Normal RP(P), Log-Normal    FALSE #> 2376   149 0.4091531 0.089138976  fv Log-Normal RP(P), Log-Normal     TRUE #> 2392   150 0.5623525 0.119787569  fv Log-Normal RP(P), Log-Normal    FALSE #> 2408   151 0.9870081 0.207968406  fv Log-Normal RP(P), Log-Normal    FALSE #> 2424   152 0.7257533 0.155576929  fv Log-Normal RP(P), Log-Normal    FALSE #> 2440   153 0.7938888 0.166001332  fv Log-Normal RP(P), Log-Normal    FALSE #> 2456   154 0.7543676 0.159096926  fv Log-Normal RP(P), Log-Normal    FALSE #> 2472   155 1.0111457 0.212971620  fv Log-Normal RP(P), Log-Normal    FALSE #> 2488   156 0.6544524 0.141043356  fv Log-Normal RP(P), Log-Normal    FALSE #> 2504   157 0.6432003 0.138898907  fv Log-Normal RP(P), Log-Normal    FALSE #> 2520   158 0.6411141 0.135716820  fv Log-Normal RP(P), Log-Normal    FALSE #> 2536   159 0.8229442 0.176716197  fv Log-Normal RP(P), Log-Normal    FALSE #> 2552   160 0.8120361 0.174187032  fv Log-Normal RP(P), Log-Normal    FALSE #> 2568   161 0.9019813 0.188117850  fv Log-Normal RP(P), Log-Normal    FALSE #> 2584   162 1.0499623 0.220400899  fv Log-Normal RP(P), Log-Normal     TRUE #> 2600   163 0.6371458 0.137262190  fv Log-Normal RP(P), Log-Normal    FALSE #> 2616   164 0.6859633 0.145451105  fv Log-Normal RP(P), Log-Normal    FALSE #> 2632   165 0.5519135 0.117940756  fv Log-Normal RP(P), Log-Normal    FALSE #> 2648   166 0.4479469 0.095793295  fv Log-Normal RP(P), Log-Normal    FALSE #> 2664   167 0.7613875 0.161975639  fv Log-Normal RP(P), Log-Normal    FALSE #> 2680   168 0.8959044 0.188861131  fv Log-Normal RP(P), Log-Normal    FALSE #> 2696   169 0.6531845 0.138023079  fv Log-Normal RP(P), Log-Normal    FALSE #> 2712   170 0.7664620 0.162066953  fv Log-Normal RP(P), Log-Normal    FALSE #> 2728   171 0.8455567 0.178186955  fv Log-Normal RP(P), Log-Normal    FALSE #> 2744   172 0.7766548 0.164499182  fv Log-Normal RP(P), Log-Normal    FALSE #> 2760   173 0.7349752 0.154532530  fv Log-Normal RP(P), Log-Normal    FALSE #> 2776   174 0.6099624 0.129739699  fv Log-Normal RP(P), Log-Normal    FALSE #> 2792   175 0.8046287 0.169421952  fv Log-Normal RP(P), Log-Normal    FALSE #> 2808   176 1.0156282 0.214174421  fv Log-Normal RP(P), Log-Normal    FALSE #> 2824   177 0.8256876 0.175175875  fv Log-Normal RP(P), Log-Normal    FALSE #> 2840   178 0.5414903 0.116046912  fv Log-Normal RP(P), Log-Normal    FALSE #> 2856   179 0.9627749 0.202015293  fv Log-Normal RP(P), Log-Normal    FALSE #> 2872   180 0.5801914 0.124401399  fv Log-Normal RP(P), Log-Normal    FALSE #> 2888   181 0.7554494 0.159701514  fv Log-Normal RP(P), Log-Normal    FALSE #> 2904   182 1.2537245 0.262312759  fv Log-Normal RP(P), Log-Normal     TRUE #> 2920   183 0.7659203 0.165867012  fv Log-Normal RP(P), Log-Normal    FALSE #> 2936   184 0.9738310 0.203471702  fv Log-Normal RP(P), Log-Normal    FALSE #> 2952   185 0.8121692 0.171028940  fv Log-Normal RP(P), Log-Normal    FALSE #> 2968   186 0.7982599 0.168832783  fv Log-Normal RP(P), Log-Normal    FALSE #> 2984   187 0.6883828 0.145342853  fv Log-Normal RP(P), Log-Normal    FALSE #> 3000   188 0.8374741 0.176193562  fv Log-Normal RP(P), Log-Normal    FALSE #> 3016   189 0.6993496 0.147808847  fv Log-Normal RP(P), Log-Normal    FALSE #> 3032   190 0.8064399 0.170804825  fv Log-Normal RP(P), Log-Normal    FALSE #> 3048   191 0.8008227 0.173861583  fv Log-Normal RP(P), Log-Normal    FALSE #> 3064   192 0.6525505 0.137788950  fv Log-Normal RP(P), Log-Normal    FALSE #> 3080   193 0.7916083 0.170491952  fv Log-Normal RP(P), Log-Normal    FALSE #> 3096   194 0.9988075 0.209353233  fv Log-Normal RP(P), Log-Normal    FALSE #> 3112   195 0.5880564 0.124916660  fv Log-Normal RP(P), Log-Normal    FALSE #> 3128   196 0.6367192 0.135928623  fv Log-Normal RP(P), Log-Normal    FALSE #> 3144   197 0.6587380 0.139314113  fv Log-Normal RP(P), Log-Normal    FALSE #> 3160   198 0.7988690 0.168411544  fv Log-Normal RP(P), Log-Normal    FALSE #> 3176   199 0.5340730 0.114133322  fv Log-Normal RP(P), Log-Normal    FALSE #> 3192   200 0.6108400 0.131066750  fv Log-Normal RP(P), Log-Normal    FALSE #> 3208   201 0.8908497 0.188126967  fv Log-Normal RP(P), Log-Normal    FALSE #> 3224   202 0.7243823 0.152769551  fv Log-Normal RP(P), Log-Normal    FALSE #> 3240   203 0.6371139 0.135630072  fv Log-Normal RP(P), Log-Normal    FALSE #> 3256   204 0.6812425 0.144876357  fv Log-Normal RP(P), Log-Normal    FALSE #> 3272   205 0.6640707 0.142647914  fv Log-Normal RP(P), Log-Normal    FALSE #> 3288   206 0.7955822 0.169584226  fv Log-Normal RP(P), Log-Normal    FALSE #> 3304   207 0.8122343 0.171305716  fv Log-Normal RP(P), Log-Normal    FALSE #> 3320   208 1.0716857 0.225174141  fv Log-Normal RP(P), Log-Normal     TRUE #> 3336   209 0.6729434 0.145634249  fv Log-Normal RP(P), Log-Normal    FALSE #> 3352   210 0.7233139 0.155217656  fv Log-Normal RP(P), Log-Normal    FALSE #> 3368   211 0.8224261 0.173753257  fv Log-Normal RP(P), Log-Normal    FALSE #> 3384   212 0.8106002 0.171929743  fv Log-Normal RP(P), Log-Normal    FALSE #> 3400   213 0.6209349 0.132488452  fv Log-Normal RP(P), Log-Normal    FALSE #> 3416   214 0.6651939 0.141701897  fv Log-Normal RP(P), Log-Normal    FALSE #> 3432   215 0.6681925 0.142692548  fv Log-Normal RP(P), Log-Normal    FALSE #> 3448   216 0.9718383 0.203611298  fv Log-Normal RP(P), Log-Normal    FALSE #> 3464   217 0.7615306 0.161592701  fv Log-Normal RP(P), Log-Normal    FALSE #> 3480   218 0.5932685 0.126182039  fv Log-Normal RP(P), Log-Normal    FALSE #> 3496   219 0.8440250 0.177280275  fv Log-Normal RP(P), Log-Normal    FALSE #> 3512   220 0.9111737 0.193577494  fv Log-Normal RP(P), Log-Normal    FALSE #> 3528   221 0.6454833 0.139083353  fv Log-Normal RP(P), Log-Normal    FALSE #> 3544   222 0.3710342 0.081236086  fv Log-Normal RP(P), Log-Normal     TRUE #> 3560   223 0.5463579 0.116226442  fv Log-Normal RP(P), Log-Normal    FALSE #> 3576   224 0.5958494 0.127390309  fv Log-Normal RP(P), Log-Normal    FALSE #> 3592   225 0.8256615 0.173178721  fv Log-Normal RP(P), Log-Normal    FALSE #> 3608   226 1.0751549 0.225902510  fv Log-Normal RP(P), Log-Normal     TRUE #> 3624   227 0.7671138 0.162589102  fv Log-Normal RP(P), Log-Normal    FALSE #> 3640   228 0.8685262 0.182915069  fv Log-Normal RP(P), Log-Normal    FALSE #> 3656   229 0.4077865 0.089309434  fv Log-Normal RP(P), Log-Normal     TRUE #> 3672   230 0.6142203 0.130122245  fv Log-Normal RP(P), Log-Normal    FALSE #> 3688   231 0.6568914 0.139096135  fv Log-Normal RP(P), Log-Normal    FALSE #> 3704   232 0.9518400 0.200405291  fv Log-Normal RP(P), Log-Normal    FALSE #> 3720   233 0.9620535 0.203495174  fv Log-Normal RP(P), Log-Normal    FALSE #> 3736   234 0.9386042 0.197203991  fv Log-Normal RP(P), Log-Normal    FALSE #> 3752   235 0.5533993 0.117867348  fv Log-Normal RP(P), Log-Normal    FALSE #> 3768   236 0.6340348 0.134447642  fv Log-Normal RP(P), Log-Normal    FALSE #> 3784   237 0.5453294 0.115930957  fv Log-Normal RP(P), Log-Normal    FALSE #> 3800   238 0.8944895 0.191484666  fv Log-Normal RP(P), Log-Normal    FALSE #> 3816   239 0.9288279 0.195513931  fv Log-Normal RP(P), Log-Normal    FALSE #> 3832   240 0.6350098 0.135823593  fv Log-Normal RP(P), Log-Normal    FALSE #> 3848   241 0.7685612 0.163948020  fv Log-Normal RP(P), Log-Normal    FALSE #> 3864   242 0.5467803 0.117102138  fv Log-Normal RP(P), Log-Normal    FALSE #> 3880   243 0.6730960 0.142931552  fv Log-Normal RP(P), Log-Normal    FALSE #> 3896   244 0.6142116 0.131941975  fv Log-Normal RP(P), Log-Normal    FALSE #> 3912   245 0.5020462 0.109122006  fv Log-Normal RP(P), Log-Normal    FALSE #> 3928   246 0.7921927 0.168021380  fv Log-Normal RP(P), Log-Normal    FALSE #> 3944   247 0.6592181 0.139530433  fv Log-Normal RP(P), Log-Normal    FALSE #> 3960   248 1.1777612 0.254244197  fv Log-Normal RP(P), Log-Normal     TRUE #> 3976   249 0.5943575 0.127544821  fv Log-Normal RP(P), Log-Normal    FALSE #> 3992   250 0.7502168 0.158141093  fv Log-Normal RP(P), Log-Normal    FALSE #> 4008   251 0.6268527 0.133734241  fv Log-Normal RP(P), Log-Normal    FALSE #> 4024   252 0.4776854 0.102284469  fv Log-Normal RP(P), Log-Normal    FALSE #> 4040   253 0.8681536 0.183500004  fv Log-Normal RP(P), Log-Normal    FALSE #> 4056   254 0.7439174 0.156041861  fv Log-Normal RP(P), Log-Normal    FALSE #> 4072   255 0.9441697 0.201330530  fv Log-Normal RP(P), Log-Normal    FALSE #> 4088   256 0.8607312 0.182317109  fv Log-Normal RP(P), Log-Normal    FALSE #> 4104   257 0.8369787 0.175261357  fv Log-Normal RP(P), Log-Normal    FALSE #> 4120   258 0.4171869 0.089856660  fv Log-Normal RP(P), Log-Normal     TRUE #> 4136   259 0.6676815 0.141483812  fv Log-Normal RP(P), Log-Normal    FALSE #> 4152   260 0.6884486 0.147931703  fv Log-Normal RP(P), Log-Normal    FALSE #> 4168   261 0.8876474 0.187002433  fv Log-Normal RP(P), Log-Normal    FALSE #> 4184   262 0.6886344 0.145893409  fv Log-Normal RP(P), Log-Normal    FALSE #> 4200   263 0.8769823 0.186762641  fv Log-Normal RP(P), Log-Normal    FALSE #> 4216   264 0.7973775 0.168952281  fv Log-Normal RP(P), Log-Normal    FALSE #> 4232   265 0.6224204 0.131746513  fv Log-Normal RP(P), Log-Normal    FALSE #> 4248   266 0.6649661 0.143208152  fv Log-Normal RP(P), Log-Normal    FALSE #> 4264   267 0.6170590 0.130985777  fv Log-Normal RP(P), Log-Normal    FALSE #> 4280   268 0.9638015 0.201609273  fv Log-Normal RP(P), Log-Normal    FALSE #> 4296   269 0.6192713 0.132297670  fv Log-Normal RP(P), Log-Normal    FALSE #> 4312   270 0.6272993 0.133300944  fv Log-Normal RP(P), Log-Normal    FALSE #> 4328   271 0.7800909 0.164123810  fv Log-Normal RP(P), Log-Normal    FALSE #> 4344   272 0.5661606 0.121060836  fv Log-Normal RP(P), Log-Normal    FALSE #> 4360   273 0.7588228 0.161878411  fv Log-Normal RP(P), Log-Normal    FALSE #> 4376   274 0.7671855 0.161327099  fv Log-Normal RP(P), Log-Normal    FALSE #> 4392   275 0.6394525 0.136719057  fv Log-Normal RP(P), Log-Normal    FALSE #> 4408   276 0.7903120 0.166291219  fv Log-Normal RP(P), Log-Normal    FALSE #> 4424   277 0.7234781 0.152518392  fv Log-Normal RP(P), Log-Normal    FALSE #> 4440   278 0.6278358 0.135101300  fv Log-Normal RP(P), Log-Normal    FALSE #> 4456   279 0.8158385 0.171062766  fv Log-Normal RP(P), Log-Normal    FALSE #> 4472   280 0.8400655 0.178662425  fv Log-Normal RP(P), Log-Normal    FALSE #> 4488   281 0.7252124 0.152822320  fv Log-Normal RP(P), Log-Normal    FALSE #> 4504   282 0.6556109 0.140682373  fv Log-Normal RP(P), Log-Normal    FALSE #> 4520   283 0.8872840 0.188990041  fv Log-Normal RP(P), Log-Normal    FALSE #> 4536   284 0.6237917 0.133109411  fv Log-Normal RP(P), Log-Normal    FALSE #> 4552   285 0.7104471 0.150620789  fv Log-Normal RP(P), Log-Normal    FALSE #> 4568   286 0.7010266 0.148553607  fv Log-Normal RP(P), Log-Normal    FALSE #> 4584   287 0.5983036 0.127533893  fv Log-Normal RP(P), Log-Normal    FALSE #> 4600   288 0.6194319 0.132300120  fv Log-Normal RP(P), Log-Normal    FALSE #> 4616   289 0.6953902 0.147668888  fv Log-Normal RP(P), Log-Normal    FALSE #> 4632   290 0.6789570 0.143987778  fv Log-Normal RP(P), Log-Normal    FALSE #> 4648   291 0.7671789 0.162019778  fv Log-Normal RP(P), Log-Normal    FALSE #> 4664   292 0.6671205 0.145690555  fv Log-Normal RP(P), Log-Normal    FALSE #> 4680   293 0.6823554 0.144154584  fv Log-Normal RP(P), Log-Normal    FALSE #> 4696   294 0.7332624 0.154464681  fv Log-Normal RP(P), Log-Normal    FALSE #> 4712   295 0.6404999 0.135858256  fv Log-Normal RP(P), Log-Normal    FALSE #> 4728   296 0.8064440 0.169134786  fv Log-Normal RP(P), Log-Normal    FALSE #> 4744   297 0.4154099 0.089707885  fv Log-Normal RP(P), Log-Normal     TRUE #> 4760   298 0.7001526 0.148958370  fv Log-Normal RP(P), Log-Normal    FALSE #> 4776   299 0.7901542 0.166005499  fv Log-Normal RP(P), Log-Normal    FALSE #> 4792   300 0.6383931 0.135316588  fv Log-Normal RP(P), Log-Normal    FALSE #> 4808   301 1.0797894 0.226631922  fv Log-Normal RP(P), Log-Normal     TRUE #> 4824   302 0.7333982 0.154129270  fv Log-Normal RP(P), Log-Normal    FALSE #> 4840   303 0.6448902 0.136135374  fv Log-Normal RP(P), Log-Normal    FALSE #> 4856   304 0.6874369 0.145600025  fv Log-Normal RP(P), Log-Normal    FALSE #> 4872   305 0.8473673 0.180072933  fv Log-Normal RP(P), Log-Normal    FALSE #> 4888   306 0.5855319 0.124660389  fv Log-Normal RP(P), Log-Normal    FALSE #> 4904   307 0.6260604 0.133351831  fv Log-Normal RP(P), Log-Normal    FALSE #> 4920   308 0.7265619 0.155227234  fv Log-Normal RP(P), Log-Normal    FALSE #> 4936   309 0.6165858 0.131736323  fv Log-Normal RP(P), Log-Normal    FALSE #> 4952   310 0.6669932 0.143636364  fv Log-Normal RP(P), Log-Normal    FALSE #> 4968   311 0.8948024 0.187518922  fv Log-Normal RP(P), Log-Normal    FALSE #> 4984   312 0.7340584 0.156045396  fv Log-Normal RP(P), Log-Normal    FALSE #> 5000   313 0.5098630 0.110514496  fv Log-Normal RP(P), Log-Normal    FALSE #> 5016   314 0.7006581 0.149757043  fv Log-Normal RP(P), Log-Normal    FALSE #> 5032   315 0.6800828 0.144554310  fv Log-Normal RP(P), Log-Normal    FALSE #> 5048   316 0.5944615 0.126393843  fv Log-Normal RP(P), Log-Normal    FALSE #> 5064   317 0.8636833 0.180934577  fv Log-Normal RP(P), Log-Normal    FALSE #> 5080   318 0.5483091 0.116304349  fv Log-Normal RP(P), Log-Normal    FALSE #> 5096   319 0.7523237 0.160342794  fv Log-Normal RP(P), Log-Normal    FALSE #> 5112   320 0.8391743 0.176178376  fv Log-Normal RP(P), Log-Normal    FALSE #> 5128   321 0.9163775 0.194154288  fv Log-Normal RP(P), Log-Normal    FALSE #> 5144   322 0.5894324 0.127298736  fv Log-Normal RP(P), Log-Normal    FALSE #> 5160   323 0.8114798 0.171935681  fv Log-Normal RP(P), Log-Normal    FALSE #> 5176   324 0.5338577 0.114284662  fv Log-Normal RP(P), Log-Normal    FALSE #> 5192   325 0.6217815 0.132298631  fv Log-Normal RP(P), Log-Normal    FALSE #> 5208   326 1.0836512 0.235917887  fv Log-Normal RP(P), Log-Normal     TRUE #> 5224   327 0.5334750 0.115076500  fv Log-Normal RP(P), Log-Normal    FALSE #> 5240   328 0.7989732 0.169468715  fv Log-Normal RP(P), Log-Normal    FALSE #> 5256   329 0.6360385 0.134479974  fv Log-Normal RP(P), Log-Normal    FALSE #> 5272   330 0.5875593 0.128101031  fv Log-Normal RP(P), Log-Normal    FALSE #> 5288   331 0.9377907 0.197762013  fv Log-Normal RP(P), Log-Normal    FALSE #> 5304   332 0.6885284 0.145055687  fv Log-Normal RP(P), Log-Normal    FALSE #> 5320   333 0.5064415 0.108148237  fv Log-Normal RP(P), Log-Normal    FALSE #> 5336   334 0.5541498 0.118443759  fv Log-Normal RP(P), Log-Normal    FALSE #> 5352   335 0.5482213 0.116736851  fv Log-Normal RP(P), Log-Normal    FALSE #> 5368   336 0.7934025 0.166004228  fv Log-Normal RP(P), Log-Normal    FALSE #> 5384   337 0.6571731 0.138502229  fv Log-Normal RP(P), Log-Normal    FALSE #> 5400   338 0.7728687 0.163033764  fv Log-Normal RP(P), Log-Normal    FALSE #> 5416   339 0.5965669 0.128341597  fv Log-Normal RP(P), Log-Normal    FALSE #> 5432   340 0.9275768 0.195141879  fv Log-Normal RP(P), Log-Normal    FALSE #> 5448   341 0.6692119 0.145172381  fv Log-Normal RP(P), Log-Normal    FALSE #> 5464   342 0.5902572 0.125475073  fv Log-Normal RP(P), Log-Normal    FALSE #> 5480   343 0.5801466 0.123098768  fv Log-Normal RP(P), Log-Normal    FALSE #> 5496   344 0.6785553 0.144580820  fv Log-Normal RP(P), Log-Normal    FALSE #> 5512   345 0.6981478 0.149010321  fv Log-Normal RP(P), Log-Normal    FALSE #> 5528   346 0.5238796 0.114762954  fv Log-Normal RP(P), Log-Normal    FALSE #> 5544   347 0.6274841 0.133216940  fv Log-Normal RP(P), Log-Normal    FALSE #> 5560   348 0.6138076 0.132661263  fv Log-Normal RP(P), Log-Normal    FALSE #> 5576   349 0.7089060 0.151241295  fv Log-Normal RP(P), Log-Normal    FALSE #> 5592   350 0.7922423 0.166710243  fv Log-Normal RP(P), Log-Normal    FALSE #> 5608   351 0.6095110 0.131638592  fv Log-Normal RP(P), Log-Normal    FALSE #> 5624   352 0.8227668 0.174673506  fv Log-Normal RP(P), Log-Normal    FALSE #> 5640   353 0.7124254 0.149873339  fv Log-Normal RP(P), Log-Normal    FALSE #> 5656   354 0.6746969 0.142588109  fv Log-Normal RP(P), Log-Normal    FALSE #> 5672   355 0.7436915 0.155836291  fv Log-Normal RP(P), Log-Normal    FALSE #> 5688   356 0.6364339 0.135095851  fv Log-Normal RP(P), Log-Normal    FALSE #> 5704   357 0.9283883 0.195684960  fv Log-Normal RP(P), Log-Normal    FALSE #> 5720   358 0.6779987 0.143013219  fv Log-Normal RP(P), Log-Normal    FALSE #> 5736   359 0.5223231 0.112182424  fv Log-Normal RP(P), Log-Normal    FALSE #> 5752   360 0.6818928 0.145867770  fv Log-Normal RP(P), Log-Normal    FALSE #> 5768   361 0.6438289 0.136908189  fv Log-Normal RP(P), Log-Normal    FALSE #> 5784   362 0.6308484 0.133550798  fv Log-Normal RP(P), Log-Normal    FALSE #> 5800   363 0.6184552 0.131494207  fv Log-Normal RP(P), Log-Normal    FALSE #> 5816   364 0.9020074 0.191480398  fv Log-Normal RP(P), Log-Normal    FALSE #> 5832   365 0.8085743 0.174120700  fv Log-Normal RP(P), Log-Normal    FALSE #> 5848   366 0.6868125 0.146863645  fv Log-Normal RP(P), Log-Normal    FALSE #> 5864   367 0.8043925 0.169415489  fv Log-Normal RP(P), Log-Normal    FALSE #> 5880   368 0.9940984 0.211797215  fv Log-Normal RP(P), Log-Normal    FALSE #> 5896   369 0.6067818 0.130133487  fv Log-Normal RP(P), Log-Normal    FALSE #> 5912   370 0.7791594 0.164610115  fv Log-Normal RP(P), Log-Normal    FALSE #> 5928   371 0.6579660 0.139290440  fv Log-Normal RP(P), Log-Normal    FALSE #> 5944   372 0.4998593 0.107079991  fv Log-Normal RP(P), Log-Normal    FALSE #> 5960   373 1.1187507 0.239669973  fv Log-Normal RP(P), Log-Normal     TRUE #> 5976   374 0.5445436 0.116192907  fv Log-Normal RP(P), Log-Normal    FALSE #> 5992   375 0.6589562 0.140315215  fv Log-Normal RP(P), Log-Normal    FALSE #> 6008   376 0.7039143 0.151300247  fv Log-Normal RP(P), Log-Normal    FALSE #> 6024   377 0.5442462 0.116958497  fv Log-Normal RP(P), Log-Normal    FALSE #> 6040   378 0.6207517 0.133000762  fv Log-Normal RP(P), Log-Normal    FALSE #> 6056   379 0.5070180 0.108149121  fv Log-Normal RP(P), Log-Normal    FALSE #> 6072   380 0.6588885 0.139471825  fv Log-Normal RP(P), Log-Normal    FALSE #> 6088   381 0.8548545 0.181832063  fv Log-Normal RP(P), Log-Normal    FALSE #> 6104   382 0.7335509 0.156313750  fv Log-Normal RP(P), Log-Normal    FALSE #> 6120   383 0.7137172 0.150203860  fv Log-Normal RP(P), Log-Normal    FALSE #> 6136   384 0.7104134 0.150412373  fv Log-Normal RP(P), Log-Normal    FALSE #> 6152   385 0.5935099 0.129534784  fv Log-Normal RP(P), Log-Normal    FALSE #> 6168   386 0.9411797 0.201815466  fv Log-Normal RP(P), Log-Normal    FALSE #> 6184   387 0.5892174 0.125279876  fv Log-Normal RP(P), Log-Normal    FALSE #> 6200   388 0.9310919 0.196820097  fv Log-Normal RP(P), Log-Normal    FALSE #> 6216   389 0.8066429 0.170511534  fv Log-Normal RP(P), Log-Normal    FALSE #> 6232   390 0.6786750 0.144396146  fv Log-Normal RP(P), Log-Normal    FALSE #> 6248   391 0.8198229 0.172515332  fv Log-Normal RP(P), Log-Normal    FALSE #> 6264   392 0.6270577 0.133542272  fv Log-Normal RP(P), Log-Normal    FALSE #> 6280   393 0.5605416 0.119072930  fv Log-Normal RP(P), Log-Normal    FALSE #> 6296   394 0.8810824 0.186080625  fv Log-Normal RP(P), Log-Normal    FALSE #> 6312   395 0.7626802 0.161748237  fv Log-Normal RP(P), Log-Normal    FALSE #> 6328   396 1.0186980 0.215519936  fv Log-Normal RP(P), Log-Normal    FALSE #> 6344   397 0.7136712 0.152808078  fv Log-Normal RP(P), Log-Normal    FALSE #> 6360   398 0.6724088 0.142879285  fv Log-Normal RP(P), Log-Normal    FALSE #> 6376   399 0.8200587 0.173443890  fv Log-Normal RP(P), Log-Normal    FALSE #> 6392   400 0.5373662 0.114719406  fv Log-Normal RP(P), Log-Normal    FALSE #> 6408   401 0.6198081 0.133051510  fv Log-Normal RP(P), Log-Normal    FALSE #> 6424   402 0.5456393 0.120676593  fv Log-Normal RP(P), Log-Normal    FALSE #> 6440   403 0.6242481 0.134826074  fv Log-Normal RP(P), Log-Normal    FALSE #> 6456   404 0.5789455 0.124683392  fv Log-Normal RP(P), Log-Normal    FALSE #> 6472   405 0.4740742 0.101148159  fv Log-Normal RP(P), Log-Normal    FALSE #> 6488   406 0.7363722 0.157413363  fv Log-Normal RP(P), Log-Normal    FALSE #> 6504   407 0.7570074 0.160550534  fv Log-Normal RP(P), Log-Normal    FALSE #> 6520   408 0.4959259 0.108490225  fv Log-Normal RP(P), Log-Normal    FALSE #> 6536   409 0.7356424 0.157765466  fv Log-Normal RP(P), Log-Normal    FALSE #> 6552   410 0.7712851 0.162320795  fv Log-Normal RP(P), Log-Normal    FALSE #> 6568   411 0.6541786 0.140317219  fv Log-Normal RP(P), Log-Normal    FALSE #> 6584   412 0.6661183 0.143455097  fv Log-Normal RP(P), Log-Normal    FALSE #> 6600   413 0.5350439 0.115753646  fv Log-Normal RP(P), Log-Normal    FALSE #> 6616   414 0.8643640 0.180317810  fv Log-Normal RP(P), Log-Normal    FALSE #> 6632   415 1.2739619 0.266898773  fv Log-Normal RP(P), Log-Normal     TRUE #> 6648   416 0.5686275 0.124459667  fv Log-Normal RP(P), Log-Normal    FALSE #> 6664   417 0.5516460 0.117282911  fv Log-Normal RP(P), Log-Normal    FALSE #> 6680   418 0.8937930 0.187628969  fv Log-Normal RP(P), Log-Normal    FALSE #> 6696   419 0.4939313 0.107958764  fv Log-Normal RP(P), Log-Normal    FALSE #> 6712   420 0.7618818 0.162553523  fv Log-Normal RP(P), Log-Normal    FALSE #> 6728   421 0.7941336 0.166611656  fv Log-Normal RP(P), Log-Normal    FALSE #> 6744   422 0.5760020 0.123123483  fv Log-Normal RP(P), Log-Normal    FALSE #> 6760   423 0.5860742 0.124560347  fv Log-Normal RP(P), Log-Normal    FALSE #> 6776   424 0.6808656 0.144707278  fv Log-Normal RP(P), Log-Normal    FALSE #> 6792   425 0.7515341 0.158171202  fv Log-Normal RP(P), Log-Normal    FALSE #> 6808   426 0.8278194 0.174409626  fv Log-Normal RP(P), Log-Normal    FALSE #> 6824   427 0.9565671 0.199453527  fv Log-Normal RP(P), Log-Normal    FALSE #> 6840   428 0.8208074 0.173449828  fv Log-Normal RP(P), Log-Normal    FALSE #> 6856   429 0.7261118 0.153860717  fv Log-Normal RP(P), Log-Normal    FALSE #> 6872   430 0.8154937 0.170888139  fv Log-Normal RP(P), Log-Normal    FALSE #> 6888   431 0.6854336 0.147503360  fv Log-Normal RP(P), Log-Normal    FALSE #> 6904   432 0.8698979 0.183151737  fv Log-Normal RP(P), Log-Normal    FALSE #> 6920   433 0.5932630 0.126716505  fv Log-Normal RP(P), Log-Normal    FALSE #> 6936   434 0.5884706 0.124621858  fv Log-Normal RP(P), Log-Normal    FALSE #> 6952   435 0.4976009 0.107213878  fv Log-Normal RP(P), Log-Normal    FALSE #> 6968   436 0.7641928 0.161595804  fv Log-Normal RP(P), Log-Normal    FALSE #> 6984   437 0.5831031 0.126014583  fv Log-Normal RP(P), Log-Normal    FALSE #> 7000   438 0.8816506 0.185159712  fv Log-Normal RP(P), Log-Normal    FALSE #> 7016   439 0.5992139 0.129551688  fv Log-Normal RP(P), Log-Normal    FALSE #> 7032   440 0.4173110 0.090549796  fv Log-Normal RP(P), Log-Normal     TRUE #> 7048   441 0.5608792 0.120279561  fv Log-Normal RP(P), Log-Normal    FALSE #> 7064   442 0.7522919 0.160420421  fv Log-Normal RP(P), Log-Normal    FALSE #> 7080   443 0.8041542 0.170485517  fv Log-Normal RP(P), Log-Normal    FALSE #> 7096   444 0.8333665 0.174907941  fv Log-Normal RP(P), Log-Normal    FALSE #> 7112   445 0.9032992 0.190709150  fv Log-Normal RP(P), Log-Normal    FALSE #> 7128   446 0.6382998 0.136039454  fv Log-Normal RP(P), Log-Normal    FALSE #> 7144   447 0.8913664 0.188101809  fv Log-Normal RP(P), Log-Normal    FALSE #> 7160   448 0.9185656 0.194708815  fv Log-Normal RP(P), Log-Normal    FALSE #> 7176   449 0.9114504 0.192914583  fv Log-Normal RP(P), Log-Normal    FALSE #> 7192   450 0.7040628 0.150193038  fv Log-Normal RP(P), Log-Normal    FALSE #> 7208   451 0.7951696 0.168085049  fv Log-Normal RP(P), Log-Normal    FALSE #> 7224   452 0.7822380 0.164962493  fv Log-Normal RP(P), Log-Normal    FALSE #> 7240   453 0.6990982 0.147390463  fv Log-Normal RP(P), Log-Normal    FALSE #> 7256   454 0.6810218 0.145335768  fv Log-Normal RP(P), Log-Normal    FALSE #> 7272   455 0.6300676 0.133453170  fv Log-Normal RP(P), Log-Normal    FALSE #> 7288   456 0.4863927 0.104457276  fv Log-Normal RP(P), Log-Normal    FALSE #> 7304   457 0.9178214 0.193997798  fv Log-Normal RP(P), Log-Normal    FALSE #> 7320   458 0.7946535 0.172717509  fv Log-Normal RP(P), Log-Normal    FALSE #> 7336   459 0.9718512 0.208815317  fv Log-Normal RP(P), Log-Normal    FALSE #> 7352   460 0.6861966 0.146417539  fv Log-Normal RP(P), Log-Normal    FALSE #> 7368   461 0.7851648 0.165669430  fv Log-Normal RP(P), Log-Normal    FALSE #> 7384   462 0.7271394 0.153568596  fv Log-Normal RP(P), Log-Normal    FALSE #> 7400   463 0.8837419 0.187918773  fv Log-Normal RP(P), Log-Normal    FALSE #> 7416   464 0.8135415 0.171708945  fv Log-Normal RP(P), Log-Normal    FALSE #> 7432   465 0.8182940 0.172522261  fv Log-Normal RP(P), Log-Normal    FALSE #> 7448   466 0.8493356 0.179784542  fv Log-Normal RP(P), Log-Normal    FALSE #> 7464   467 0.7431155 0.158019881  fv Log-Normal RP(P), Log-Normal    FALSE #> 7480   468 0.9245746 0.194819936  fv Log-Normal RP(P), Log-Normal    FALSE #> 7496   469 0.8093364 0.169629324  fv Log-Normal RP(P), Log-Normal    FALSE #> 7512   470 0.7536124 0.160736238  fv Log-Normal RP(P), Log-Normal    FALSE #> 7528   471 0.6319489 0.135425252  fv Log-Normal RP(P), Log-Normal    FALSE #> 7544   472 0.8705816 0.183151533  fv Log-Normal RP(P), Log-Normal    FALSE #> 7560   473 0.6939116 0.147277985  fv Log-Normal RP(P), Log-Normal    FALSE #> 7576   474 1.0226695 0.218679643  fv Log-Normal RP(P), Log-Normal    FALSE #> 7592   475 0.6441230 0.137039433  fv Log-Normal RP(P), Log-Normal    FALSE #> 7608   476 0.4760739 0.102644848  fv Log-Normal RP(P), Log-Normal    FALSE #> 7624   477 0.5102537 0.108874669  fv Log-Normal RP(P), Log-Normal    FALSE #> 7640   478 0.8094600 0.170268803  fv Log-Normal RP(P), Log-Normal    FALSE #> 7656   479 0.7402423 0.155742727  fv Log-Normal RP(P), Log-Normal    FALSE #> 7672   480 1.0188028 0.213534164  fv Log-Normal RP(P), Log-Normal    FALSE #> 7688   481 1.0312072 0.216978595  fv Log-Normal RP(P), Log-Normal    FALSE #> 7704   482 0.7865807 0.168666058  fv Log-Normal RP(P), Log-Normal    FALSE #> 7720   483 0.9423222 0.201963450  fv Log-Normal RP(P), Log-Normal    FALSE #> 7736   484 0.8973102 0.192445828  fv Log-Normal RP(P), Log-Normal    FALSE #> 7752   485 0.5963984 0.127055639  fv Log-Normal RP(P), Log-Normal    FALSE #> 7768   486 0.4671000 0.102302527  fv Log-Normal RP(P), Log-Normal    FALSE #> 7784   487 0.8902634 0.188247313  fv Log-Normal RP(P), Log-Normal    FALSE #> 7800   488 0.4450478 0.096615368  fv Log-Normal RP(P), Log-Normal    FALSE #> 7816   489 0.8021624 0.173231327  fv Log-Normal RP(P), Log-Normal    FALSE #> 7832   490 0.7137305 0.152534661  fv Log-Normal RP(P), Log-Normal    FALSE #> 7848   491 0.6903608 0.146100755  fv Log-Normal RP(P), Log-Normal    FALSE #> 7864   492 0.5592670 0.118971312  fv Log-Normal RP(P), Log-Normal    FALSE #> 7880   493 1.0805007 0.228198880  fv Log-Normal RP(P), Log-Normal     TRUE #> 7896   494 0.6613173 0.139508951  fv Log-Normal RP(P), Log-Normal    FALSE #> 7912   495 0.8229525 0.172706856  fv Log-Normal RP(P), Log-Normal    FALSE #> 7928   496 1.0935848 0.231781117  fv Log-Normal RP(P), Log-Normal     TRUE #> 7944   497 0.5926421 0.126095802  fv Log-Normal RP(P), Log-Normal    FALSE #> 7960   498 0.6349464 0.134880116  fv Log-Normal RP(P), Log-Normal    FALSE #> 7976   499 0.9057009 0.193169237  fv Log-Normal RP(P), Log-Normal    FALSE #> 7992   500 0.6787804 0.143590515  fv Log-Normal RP(P), Log-Normal    FALSE #> 8008   501 1.3525305 0.283084001  fv Log-Normal RP(P), Log-Normal     TRUE #> 8024   502 0.7740755 0.163786111  fv Log-Normal RP(P), Log-Normal    FALSE #> 8040   503 0.7478861 0.158084965  fv Log-Normal RP(P), Log-Normal    FALSE #> 8056   504 0.8826810 0.185135409  fv Log-Normal RP(P), Log-Normal    FALSE #> 8072   505 0.7557309 0.160151723  fv Log-Normal RP(P), Log-Normal    FALSE #> 8088   506 1.0247701 0.219285990  fv Log-Normal RP(P), Log-Normal    FALSE #> 8104   507 0.7332673 0.155458606  fv Log-Normal RP(P), Log-Normal    FALSE #> 8120   508 0.5395012 0.115690840  fv Log-Normal RP(P), Log-Normal    FALSE #> 8136   509 0.6787263 0.144817990  fv Log-Normal RP(P), Log-Normal    FALSE #> 8152   510 0.6847482 0.146363988  fv Log-Normal RP(P), Log-Normal    FALSE #> 8168   511 0.4605915 0.099150023  fv Log-Normal RP(P), Log-Normal    FALSE #> 8184   512 0.7265371 0.156046468  fv Log-Normal RP(P), Log-Normal    FALSE #> 8200   513 0.8072477 0.171715037  fv Log-Normal RP(P), Log-Normal    FALSE #> 8216   514 0.7180859 0.151783993  fv Log-Normal RP(P), Log-Normal    FALSE #> 8232   515 0.5582958 0.119831433  fv Log-Normal RP(P), Log-Normal    FALSE #> 8248   516 0.7381316 0.155789374  fv Log-Normal RP(P), Log-Normal    FALSE #> 8264   517 0.3674411 0.080541276  fv Log-Normal RP(P), Log-Normal     TRUE #> 8280   518 0.7450873 0.157554369  fv Log-Normal RP(P), Log-Normal    FALSE #> 8296   519 0.7681291 0.162465401  fv Log-Normal RP(P), Log-Normal    FALSE #> 8312   520 0.8008281 0.168852756  fv Log-Normal RP(P), Log-Normal    FALSE #> 8328   521 0.7998675 0.170293482  fv Log-Normal RP(P), Log-Normal    FALSE #> 8344   522 0.5387534 0.114980391  fv Log-Normal RP(P), Log-Normal    FALSE #> 8360   523 0.7672604 0.162198321  fv Log-Normal RP(P), Log-Normal    FALSE #> 8376   524 0.5280884 0.112519890  fv Log-Normal RP(P), Log-Normal    FALSE #> 8392   525 0.7053708 0.149423744  fv Log-Normal RP(P), Log-Normal    FALSE #> 8408   526 0.6066376 0.129241961  fv Log-Normal RP(P), Log-Normal    FALSE #> 8424   527 0.7129661 0.150656058  fv Log-Normal RP(P), Log-Normal    FALSE #> 8440   528 0.9281260 0.195995962  fv Log-Normal RP(P), Log-Normal    FALSE #> 8456   529 0.9355893 0.196208641  fv Log-Normal RP(P), Log-Normal    FALSE #> 8472   530 0.4504997 0.097884739  fv Log-Normal RP(P), Log-Normal    FALSE #> 8488   531 1.0001840 0.211155769  fv Log-Normal RP(P), Log-Normal    FALSE #> 8504   532 0.7216514 0.152077098  fv Log-Normal RP(P), Log-Normal    FALSE #> 8520   533 0.6905167 0.145804123  fv Log-Normal RP(P), Log-Normal    FALSE #> 8536   534 0.7425754 0.157498257  fv Log-Normal RP(P), Log-Normal    FALSE #> 8552   535 0.8638945 0.181911550  fv Log-Normal RP(P), Log-Normal    FALSE #> 8568   536 0.5969459 0.128825659  fv Log-Normal RP(P), Log-Normal    FALSE #> 8584   537 1.2497526 0.261387193  fv Log-Normal RP(P), Log-Normal     TRUE #> 8600   538 0.5072017 0.109014290  fv Log-Normal RP(P), Log-Normal    FALSE #> 8616   539 0.6856868 0.144442198  fv Log-Normal RP(P), Log-Normal    FALSE #> 8632   540 0.6145395 0.130947333  fv Log-Normal RP(P), Log-Normal    FALSE #> 8648   541 0.9003393 0.188467630  fv Log-Normal RP(P), Log-Normal    FALSE #> 8664   542 0.8263942 0.175286712  fv Log-Normal RP(P), Log-Normal    FALSE #> 8680   543 0.7581448 0.159106779  fv Log-Normal RP(P), Log-Normal    FALSE #> 8696   544 0.7628214 0.161333872  fv Log-Normal RP(P), Log-Normal    FALSE #> 8712   545 0.5729157 0.121622886  fv Log-Normal RP(P), Log-Normal    FALSE #> 8728   546 0.9048540 0.189585012  fv Log-Normal RP(P), Log-Normal    FALSE #> 8744   547 0.6888985 0.146237060  fv Log-Normal RP(P), Log-Normal    FALSE #> 8760   548 0.5388485 0.114867872  fv Log-Normal RP(P), Log-Normal    FALSE #> 8776   549 0.8844165 0.187783761  fv Log-Normal RP(P), Log-Normal    FALSE #> 8792   550 0.5216935 0.112325747  fv Log-Normal RP(P), Log-Normal    FALSE #> 8808   551 0.7981204 0.168826559  fv Log-Normal RP(P), Log-Normal    FALSE #> 8824   552 0.7043843 0.148695174  fv Log-Normal RP(P), Log-Normal    FALSE #> 8840   553 0.8456647 0.176887854  fv Log-Normal RP(P), Log-Normal    FALSE #> 8856   554 0.9029274 0.189275208  fv Log-Normal RP(P), Log-Normal    FALSE #> 8872   555 0.8338211 0.176687000  fv Log-Normal RP(P), Log-Normal    FALSE #> 8888   556 0.8771735 0.184240708  fv Log-Normal RP(P), Log-Normal    FALSE #> 8904   557 0.6994326 0.147519245  fv Log-Normal RP(P), Log-Normal    FALSE #> 8920   558 0.6675003 0.140850673  fv Log-Normal RP(P), Log-Normal    FALSE #> 8936   559 0.6142336 0.132089175  fv Log-Normal RP(P), Log-Normal    FALSE #> 8952   560 0.7787745 0.163344772  fv Log-Normal RP(P), Log-Normal    FALSE #> 8968   561 1.2512491 0.263068744  fv Log-Normal RP(P), Log-Normal     TRUE #> 8984   562 0.8979502 0.193680428  fv Log-Normal RP(P), Log-Normal    FALSE #> 9000   563 0.7952133 0.167695091  fv Log-Normal RP(P), Log-Normal    FALSE #> 9016   564 0.6546188 0.141378883  fv Log-Normal RP(P), Log-Normal    FALSE #> 9032   565 0.5562875 0.118568595  fv Log-Normal RP(P), Log-Normal    FALSE #> 9048   566 0.7792219 0.167873773  fv Log-Normal RP(P), Log-Normal    FALSE #> 9064   567 0.7419551 0.158352827  fv Log-Normal RP(P), Log-Normal    FALSE #> 9080   568 0.5379826 0.115223660  fv Log-Normal RP(P), Log-Normal    FALSE #> 9096   569 0.8461880 0.177143809  fv Log-Normal RP(P), Log-Normal    FALSE #> 9112   570 0.5799163 0.126002183  fv Log-Normal RP(P), Log-Normal    FALSE #> 9128   571 0.6983018 0.147992860  fv Log-Normal RP(P), Log-Normal    FALSE #> 9144   572 0.6094856 0.128898875  fv Log-Normal RP(P), Log-Normal    FALSE #> 9160   573 0.6552102 0.139040826  fv Log-Normal RP(P), Log-Normal    FALSE #> 9176   574 0.7370159 0.156124757  fv Log-Normal RP(P), Log-Normal    FALSE #> 9192   575 0.6652785 0.143329039  fv Log-Normal RP(P), Log-Normal    FALSE #> 9208   576 0.7048646 0.153254428  fv Log-Normal RP(P), Log-Normal    FALSE #> 9224   577 0.9167098 0.191907050  fv Log-Normal RP(P), Log-Normal    FALSE #> 9240   578 0.5877871 0.124960960  fv Log-Normal RP(P), Log-Normal    FALSE #> 9256   579 0.6016587 0.129835840  fv Log-Normal RP(P), Log-Normal    FALSE #> 9272   580 0.4967792 0.106638664  fv Log-Normal RP(P), Log-Normal    FALSE #> 9288   581 0.7942713 0.168013813  fv Log-Normal RP(P), Log-Normal    FALSE #> 9304   582 0.7758947 0.163986474  fv Log-Normal RP(P), Log-Normal    FALSE #> 9320   583 1.0340860 0.215440480  fv Log-Normal RP(P), Log-Normal    FALSE #> 9336   584 0.5415647 0.114993075  fv Log-Normal RP(P), Log-Normal    FALSE #> 9352   585 0.7207829 0.152475876  fv Log-Normal RP(P), Log-Normal    FALSE #> 9368   586 0.7453476 0.156907193  fv Log-Normal RP(P), Log-Normal    FALSE #> 9384   587 0.9381973 0.198355658  fv Log-Normal RP(P), Log-Normal    FALSE #> 9400   588 0.5818223 0.125118084  fv Log-Normal RP(P), Log-Normal    FALSE #> 9416   589 0.6031015 0.127799852  fv Log-Normal RP(P), Log-Normal    FALSE #> 9432   590 0.8243606 0.175362711  fv Log-Normal RP(P), Log-Normal    FALSE #> 9448   591 0.8454856 0.179386646  fv Log-Normal RP(P), Log-Normal    FALSE #> 9464   592 0.8293279 0.176428804  fv Log-Normal RP(P), Log-Normal    FALSE #> 9480   593 0.9311402 0.195578453  fv Log-Normal RP(P), Log-Normal    FALSE #> 9496   594 0.7218285 0.152965863  fv Log-Normal RP(P), Log-Normal    FALSE #> 9512   595 0.5446728 0.116520386  fv Log-Normal RP(P), Log-Normal    FALSE #> 9528   596 0.7359036 0.154479518  fv Log-Normal RP(P), Log-Normal    FALSE #> 9544   597 0.6073041 0.128691128  fv Log-Normal RP(P), Log-Normal    FALSE #> 9560   598 1.0738637 0.225311791  fv Log-Normal RP(P), Log-Normal     TRUE #> 9576   599 0.7532017 0.160702035  fv Log-Normal RP(P), Log-Normal    FALSE #> 9592   600 0.5313748 0.113456443  fv Log-Normal RP(P), Log-Normal    FALSE #> 9608   601 1.1762696 0.247690829  fv Log-Normal RP(P), Log-Normal     TRUE #> 9624   602 0.9869736 0.208165567  fv Log-Normal RP(P), Log-Normal    FALSE #> 9640   603 0.4156015 0.089856898  fv Log-Normal RP(P), Log-Normal     TRUE #> 9656   604 0.7562236 0.159112332  fv Log-Normal RP(P), Log-Normal    FALSE #> 9672   605 1.2356747 0.256716135  fv Log-Normal RP(P), Log-Normal     TRUE #> 9688   606 0.6753278 0.142231678  fv Log-Normal RP(P), Log-Normal    FALSE #> 9704   607 0.6100967 0.131469811  fv Log-Normal RP(P), Log-Normal    FALSE #> 9720   608 0.4384887 0.095081321  fv Log-Normal RP(P), Log-Normal    FALSE #> 9736   609 0.8299211 0.173601960  fv Log-Normal RP(P), Log-Normal    FALSE #> 9752   610 0.6332973 0.134588006  fv Log-Normal RP(P), Log-Normal    FALSE #> 9768   611 0.8122094 0.173499710  fv Log-Normal RP(P), Log-Normal    FALSE #> 9784   612 0.5912979 0.127198194  fv Log-Normal RP(P), Log-Normal    FALSE #> 9800   613 0.8186354 0.172772228  fv Log-Normal RP(P), Log-Normal    FALSE #> 9816   614 0.7847640 0.167841517  fv Log-Normal RP(P), Log-Normal    FALSE #> 9832   615 0.8697196 0.183433952  fv Log-Normal RP(P), Log-Normal    FALSE #> 9848   616 0.7828021 0.165439563  fv Log-Normal RP(P), Log-Normal    FALSE #> 9864   617 0.7846758 0.165990375  fv Log-Normal RP(P), Log-Normal    FALSE #> 9880   618 0.6823886 0.144285111  fv Log-Normal RP(P), Log-Normal    FALSE #> 9896   619 0.8198467 0.172557735  fv Log-Normal RP(P), Log-Normal    FALSE #> 9912   620 0.8185053 0.173878169  fv Log-Normal RP(P), Log-Normal    FALSE #> 9928   621 0.5663070 0.121246532  fv Log-Normal RP(P), Log-Normal    FALSE #> 9944   622 0.6302051 0.135303879  fv Log-Normal RP(P), Log-Normal    FALSE #> 9960   623 0.8783656 0.185679970  fv Log-Normal RP(P), Log-Normal    FALSE #> 9976   624 0.5837145 0.125580529  fv Log-Normal RP(P), Log-Normal    FALSE #> 9992   625 0.7638096 0.162639813  fv Log-Normal RP(P), Log-Normal    FALSE #> 10008  626 0.6378765 0.135851705  fv Log-Normal RP(P), Log-Normal    FALSE #> 10024  627 0.6253581 0.133238137  fv Log-Normal RP(P), Log-Normal    FALSE #> 10040  628 0.6694660 0.143767320  fv Log-Normal RP(P), Log-Normal    FALSE #> 10056  629 0.6392508 0.134956518  fv Log-Normal RP(P), Log-Normal    FALSE #> 10072  630 0.8351055 0.175262379  fv Log-Normal RP(P), Log-Normal    FALSE #> 10088  631 0.6715506 0.142213889  fv Log-Normal RP(P), Log-Normal    FALSE #> 10104  632 0.7776511 0.166721548  fv Log-Normal RP(P), Log-Normal    FALSE #> 10120  633 0.4910653 0.105740740  fv Log-Normal RP(P), Log-Normal    FALSE #> 10136  634 0.6757272 0.146378271  fv Log-Normal RP(P), Log-Normal    FALSE #> 10152  635 0.9063761 0.191682174  fv Log-Normal RP(P), Log-Normal    FALSE #> 10168  636 0.4196552 0.091166924  fv Log-Normal RP(P), Log-Normal     TRUE #> 10184  637 0.8757533 0.183031296  fv Log-Normal RP(P), Log-Normal    FALSE #> 10200  638 0.6839210 0.145657493  fv Log-Normal RP(P), Log-Normal    FALSE #> 10216  639 0.4323877 0.093765125  fv Log-Normal RP(P), Log-Normal    FALSE #> 10232  640 0.7235325 0.154259737  fv Log-Normal RP(P), Log-Normal    FALSE #> 10248  641 0.5858835 0.125271208  fv Log-Normal RP(P), Log-Normal    FALSE #> 10264  642 0.6400015 0.136631265  fv Log-Normal RP(P), Log-Normal    FALSE #> 10280  643 0.6645860 0.140296010  fv Log-Normal RP(P), Log-Normal    FALSE #> 10296  644 0.6198370 0.131300536  fv Log-Normal RP(P), Log-Normal    FALSE #> 10312  645 0.7546684 0.158768904  fv Log-Normal RP(P), Log-Normal    FALSE #> 10328  646 0.8385785 0.177475226  fv Log-Normal RP(P), Log-Normal    FALSE #> 10344  647 0.6580940 0.139159678  fv Log-Normal RP(P), Log-Normal    FALSE #> 10360  648 1.0746985 0.225177802  fv Log-Normal RP(P), Log-Normal     TRUE #> 10376  649 0.6308988 0.136195814  fv Log-Normal RP(P), Log-Normal    FALSE #> 10392  650 0.8130078 0.170621264  fv Log-Normal RP(P), Log-Normal    FALSE #> 10408  651 0.7933222 0.168885503  fv Log-Normal RP(P), Log-Normal    FALSE #> 10424  652 1.2738896 0.266494041  fv Log-Normal RP(P), Log-Normal     TRUE #> 10440  653 0.5448666 0.117388941  fv Log-Normal RP(P), Log-Normal    FALSE #> 10456  654 0.5869671 0.127309334  fv Log-Normal RP(P), Log-Normal    FALSE #> 10472  655 0.7057334 0.149997780  fv Log-Normal RP(P), Log-Normal    FALSE #> 10488  656 0.7129275 0.153121486  fv Log-Normal RP(P), Log-Normal    FALSE #> 10504  657 0.5353386 0.115029010  fv Log-Normal RP(P), Log-Normal    FALSE #> 10520  658 1.1549453 0.246231092  fv Log-Normal RP(P), Log-Normal     TRUE #> 10536  659 1.0576571 0.224338275  fv Log-Normal RP(P), Log-Normal     TRUE #> 10552  660 0.8581929 0.181070027  fv Log-Normal RP(P), Log-Normal    FALSE #> 10568  661 0.5674477 0.122688388  fv Log-Normal RP(P), Log-Normal    FALSE #> 10584  662 0.5904257 0.125804978  fv Log-Normal RP(P), Log-Normal    FALSE #> 10600  663 0.7041159 0.150024604  fv Log-Normal RP(P), Log-Normal    FALSE #> 10616  664 0.7043639 0.148712478  fv Log-Normal RP(P), Log-Normal    FALSE #> 10632  665 0.8841932 0.186280285  fv Log-Normal RP(P), Log-Normal    FALSE #> 10648  666 1.1689748 0.244131156  fv Log-Normal RP(P), Log-Normal     TRUE #> 10664  667 0.6492794 0.137535848  fv Log-Normal RP(P), Log-Normal    FALSE #> 10680  668 0.6326668 0.134054761  fv Log-Normal RP(P), Log-Normal    FALSE #> 10696  669 0.9185632 0.194052341  fv Log-Normal RP(P), Log-Normal    FALSE #> 10712  670 0.6207600 0.134223983  fv Log-Normal RP(P), Log-Normal    FALSE #> 10728  671 0.7991586 0.168309558  fv Log-Normal RP(P), Log-Normal    FALSE #> 10744  672 0.9575733 0.201175273  fv Log-Normal RP(P), Log-Normal    FALSE #> 10760  673 0.6513651 0.137218194  fv Log-Normal RP(P), Log-Normal    FALSE #> 10776  674 0.8220483 0.172548799  fv Log-Normal RP(P), Log-Normal    FALSE #> 10792  675 0.6542018 0.144640287  fv Log-Normal RP(P), Log-Normal    FALSE #> 10808  676 0.8790873 0.184291598  fv Log-Normal RP(P), Log-Normal    FALSE #> 10824  677 0.6809257 0.143968265  fv Log-Normal RP(P), Log-Normal    FALSE #> 10840  678 0.5718382 0.122834126  fv Log-Normal RP(P), Log-Normal    FALSE #> 10856  679 0.6114109 0.129944256  fv Log-Normal RP(P), Log-Normal    FALSE #> 10872  680 0.7505338 0.159061609  fv Log-Normal RP(P), Log-Normal    FALSE #> 10888  681 1.0280511 0.216051309  fv Log-Normal RP(P), Log-Normal    FALSE #> 10904  682 0.6922360 0.148686633  fv Log-Normal RP(P), Log-Normal    FALSE #> 10920  683 0.8160459 0.173021939  fv Log-Normal RP(P), Log-Normal    FALSE #> 10936  684 1.0630183 0.223385225  fv Log-Normal RP(P), Log-Normal     TRUE #> 10952  685 0.6666902 0.142274967  fv Log-Normal RP(P), Log-Normal    FALSE #> 10968  686 0.8987511 0.188963362  fv Log-Normal RP(P), Log-Normal    FALSE #> 10984  687 0.5852340 0.124061916  fv Log-Normal RP(P), Log-Normal    FALSE #> 11000  688 0.6144874 0.131917388  fv Log-Normal RP(P), Log-Normal    FALSE #> 11016  689 0.6590173 0.140975370  fv Log-Normal RP(P), Log-Normal    FALSE #> 11032  690 0.8739728 0.185496227  fv Log-Normal RP(P), Log-Normal    FALSE #> 11048  691 0.8872853 0.197067546  fv Log-Normal RP(P), Log-Normal    FALSE #> 11064  692 0.6787807 0.144806881  fv Log-Normal RP(P), Log-Normal    FALSE #> 11080  693 0.5443873 0.119028846  fv Log-Normal RP(P), Log-Normal    FALSE #> 11096  694 0.7311672 0.154007226  fv Log-Normal RP(P), Log-Normal    FALSE #> 11112  695 0.6437481 0.137433283  fv Log-Normal RP(P), Log-Normal    FALSE #> 11128  696 0.7796264 0.164444138  fv Log-Normal RP(P), Log-Normal    FALSE #> 11144  697 0.8935000 0.188433606  fv Log-Normal RP(P), Log-Normal    FALSE #> 11160  698 0.4678461 0.101556136  fv Log-Normal RP(P), Log-Normal    FALSE #> 11176  699 0.7196923 0.155980475  fv Log-Normal RP(P), Log-Normal    FALSE #> 11192  700 0.5476779 0.117221047  fv Log-Normal RP(P), Log-Normal    FALSE #> 11208  701 0.8599958 0.182880781  fv Log-Normal RP(P), Log-Normal    FALSE #> 11224  702 0.8684833 0.183468073  fv Log-Normal RP(P), Log-Normal    FALSE #> 11240  703 0.7419362 0.157049016  fv Log-Normal RP(P), Log-Normal    FALSE #> 11256  704 0.6422867 0.136115231  fv Log-Normal RP(P), Log-Normal    FALSE #> 11272  705 0.7063944 0.150466188  fv Log-Normal RP(P), Log-Normal    FALSE #> 11288  706 0.7662985 0.163581974  fv Log-Normal RP(P), Log-Normal    FALSE #> 11304  707 0.9691335 0.204225294  fv Log-Normal RP(P), Log-Normal    FALSE #> 11320  708 0.9287081 0.195346367  fv Log-Normal RP(P), Log-Normal    FALSE #> 11336  709 0.6754008 0.142370655  fv Log-Normal RP(P), Log-Normal    FALSE #> 11352  710 0.5128397 0.109458719  fv Log-Normal RP(P), Log-Normal    FALSE #> 11368  711 0.6479967 0.136748161  fv Log-Normal RP(P), Log-Normal    FALSE #> 11384  712 0.6760885 0.143146392  fv Log-Normal RP(P), Log-Normal    FALSE #> 11400  713 1.0587777 0.226926537  fv Log-Normal RP(P), Log-Normal     TRUE #> 11416  714 0.8103874 0.172391443  fv Log-Normal RP(P), Log-Normal    FALSE #> 11432  715 0.8616532 0.183384192  fv Log-Normal RP(P), Log-Normal    FALSE #> 11448  716 0.7627301 0.161883444  fv Log-Normal RP(P), Log-Normal    FALSE #> 11464  717 0.8267358 0.177301411  fv Log-Normal RP(P), Log-Normal    FALSE #> 11480  718 0.8593514 0.180603036  fv Log-Normal RP(P), Log-Normal    FALSE #> 11496  719 0.9936252 0.208990822  fv Log-Normal RP(P), Log-Normal    FALSE #> 11512  720 0.7871392 0.166350119  fv Log-Normal RP(P), Log-Normal    FALSE #> 11528  721 0.6135418 0.132430075  fv Log-Normal RP(P), Log-Normal    FALSE #> 11544  722 0.8048205 0.169138187  fv Log-Normal RP(P), Log-Normal    FALSE #> 11560  723 0.6336888 0.133709011  fv Log-Normal RP(P), Log-Normal    FALSE #> 11576  724 0.7570649 0.162435404  fv Log-Normal RP(P), Log-Normal    FALSE #> 11592  725 0.7604770 0.159995583  fv Log-Normal RP(P), Log-Normal    FALSE #> 11608  726 0.6782080 0.145809322  fv Log-Normal RP(P), Log-Normal    FALSE #> 11624  727 0.7886025 0.166038605  fv Log-Normal RP(P), Log-Normal    FALSE #> 11640  728 1.0345666 0.216064658  fv Log-Normal RP(P), Log-Normal    FALSE #> 11656  729 0.7882665 0.167027116  fv Log-Normal RP(P), Log-Normal    FALSE #> 11672  730 0.8534764 0.181349873  fv Log-Normal RP(P), Log-Normal    FALSE #> 11688  731 0.5696950 0.125642912  fv Log-Normal RP(P), Log-Normal    FALSE #> 11704  732 0.5007401 0.109484333  fv Log-Normal RP(P), Log-Normal    FALSE #> 11720  733 0.9913558 0.210293324  fv Log-Normal RP(P), Log-Normal    FALSE #> 11736  734 0.8984254 0.190596960  fv Log-Normal RP(P), Log-Normal    FALSE #> 11752  735 1.0045821 0.209748742  fv Log-Normal RP(P), Log-Normal    FALSE #> 11768  736 0.8546730 0.181624950  fv Log-Normal RP(P), Log-Normal    FALSE #> 11784  737 0.7414317 0.156044397  fv Log-Normal RP(P), Log-Normal    FALSE #> 11800  738 0.5333088 0.113415989  fv Log-Normal RP(P), Log-Normal    FALSE #> 11816  739 0.6038187 0.128465242  fv Log-Normal RP(P), Log-Normal    FALSE #> 11832  740 0.8191753 0.172172004  fv Log-Normal RP(P), Log-Normal    FALSE #> 11848  741 1.0159289 0.214617959  fv Log-Normal RP(P), Log-Normal    FALSE #> 11864  742 0.6619821 0.140186802  fv Log-Normal RP(P), Log-Normal    FALSE #> 11880  743 0.7680557 0.163357348  fv Log-Normal RP(P), Log-Normal    FALSE #> 11896  744 0.7937786 0.169514194  fv Log-Normal RP(P), Log-Normal    FALSE #> 11912  745 0.7812691 0.167323224  fv Log-Normal RP(P), Log-Normal    FALSE #> 11928  746 0.5998087 0.127989709  fv Log-Normal RP(P), Log-Normal    FALSE #> 11944  747 0.6568120 0.139744765  fv Log-Normal RP(P), Log-Normal    FALSE #> 11960  748 0.8625290 0.182461742  fv Log-Normal RP(P), Log-Normal    FALSE #> 11976  749 0.9144162 0.190862281  fv Log-Normal RP(P), Log-Normal    FALSE #> 11992  750 0.7515278 0.158912889  fv Log-Normal RP(P), Log-Normal    FALSE #> 12008  751 0.8962423 0.188510336  fv Log-Normal RP(P), Log-Normal    FALSE #> 12024  752 0.6919608 0.146949221  fv Log-Normal RP(P), Log-Normal    FALSE #> 12040  753 0.4449890 0.097148812  fv Log-Normal RP(P), Log-Normal    FALSE #> 12056  754 0.7894919 0.168720623  fv Log-Normal RP(P), Log-Normal    FALSE #> 12072  755 0.6692060 0.141962729  fv Log-Normal RP(P), Log-Normal    FALSE #> 12088  756 0.3791451 0.083307800  fv Log-Normal RP(P), Log-Normal     TRUE #> 12104  757 0.6778335 0.142766228  fv Log-Normal RP(P), Log-Normal    FALSE #> 12120  758 0.7767465 0.163788353  fv Log-Normal RP(P), Log-Normal    FALSE #> 12136  759 0.6789998 0.145162056  fv Log-Normal RP(P), Log-Normal    FALSE #> 12152  760 0.8683342 0.182144862  fv Log-Normal RP(P), Log-Normal    FALSE #> 12168  761 0.6313595 0.135984337  fv Log-Normal RP(P), Log-Normal    FALSE #> 12184  762 0.7627906 0.160815382  fv Log-Normal RP(P), Log-Normal    FALSE #> 12200  763 0.5636338 0.120435542  fv Log-Normal RP(P), Log-Normal    FALSE #> 12216  764 0.6550750 0.139154314  fv Log-Normal RP(P), Log-Normal    FALSE #> 12232  765 0.9488338 0.199510616  fv Log-Normal RP(P), Log-Normal    FALSE #> 12248  766 0.6551717 0.138803758  fv Log-Normal RP(P), Log-Normal    FALSE #> 12264  767 0.8757343 0.184959715  fv Log-Normal RP(P), Log-Normal    FALSE #> 12280  768 0.5887793 0.126819926  fv Log-Normal RP(P), Log-Normal    FALSE #> 12296  769 1.0171618 0.215500452  fv Log-Normal RP(P), Log-Normal    FALSE #> 12312  770 0.6148654 0.132775036  fv Log-Normal RP(P), Log-Normal    FALSE #> 12328  771 0.5976970 0.132295735  fv Log-Normal RP(P), Log-Normal    FALSE #> 12344  772 0.5871158 0.125960628  fv Log-Normal RP(P), Log-Normal    FALSE #> 12360  773 0.5685788 0.121516270  fv Log-Normal RP(P), Log-Normal    FALSE #> 12376  774 0.7244019 0.153578398  fv Log-Normal RP(P), Log-Normal    FALSE #> 12392  775 0.6802586 0.143831811  fv Log-Normal RP(P), Log-Normal    FALSE #> 12408  776 0.6866827 0.146032205  fv Log-Normal RP(P), Log-Normal    FALSE #> 12424  777 0.6203969 0.132172613  fv Log-Normal RP(P), Log-Normal    FALSE #> 12440  778 0.7183854 0.158574836  fv Log-Normal RP(P), Log-Normal    FALSE #> 12456  779 0.6753122 0.144883399  fv Log-Normal RP(P), Log-Normal    FALSE #> 12472  780 0.6160541 0.131106508  fv Log-Normal RP(P), Log-Normal    FALSE #> 12488  781 0.7326720 0.155116377  fv Log-Normal RP(P), Log-Normal    FALSE #> 12504  782 0.6621541 0.142738346  fv Log-Normal RP(P), Log-Normal    FALSE #> 12520  783 0.6287083 0.133979151  fv Log-Normal RP(P), Log-Normal    FALSE #> 12536  784 0.8098296 0.172015664  fv Log-Normal RP(P), Log-Normal    FALSE #> 12552  785 0.4960243 0.106711922  fv Log-Normal RP(P), Log-Normal    FALSE #> 12568  786 0.6282832 0.132700908  fv Log-Normal RP(P), Log-Normal    FALSE #> 12584  787 1.0193503 0.214991602  fv Log-Normal RP(P), Log-Normal    FALSE #> 12600  788 0.7023544 0.148436749  fv Log-Normal RP(P), Log-Normal    FALSE #> 12616  789 0.9366437 0.198809199  fv Log-Normal RP(P), Log-Normal    FALSE #> 12632  790 0.7471967 0.159328647  fv Log-Normal RP(P), Log-Normal    FALSE #> 12648  791 0.4173760 0.089707369  fv Log-Normal RP(P), Log-Normal     TRUE #> 12664  792 0.5457081 0.116097924  fv Log-Normal RP(P), Log-Normal    FALSE #> 12680  793 0.8483324 0.177748663  fv Log-Normal RP(P), Log-Normal    FALSE #> 12696  794 0.6784384 0.143937841  fv Log-Normal RP(P), Log-Normal    FALSE #> 12712  795 0.6359556 0.134828170  fv Log-Normal RP(P), Log-Normal    FALSE #> 12728  796 0.6165200 0.132435256  fv Log-Normal RP(P), Log-Normal    FALSE #> 12744  797 0.6907832 0.150317886  fv Log-Normal RP(P), Log-Normal    FALSE #> 12760  798 0.4117881 0.088709883  fv Log-Normal RP(P), Log-Normal     TRUE #> 12776  799 0.7682074 0.162286568  fv Log-Normal RP(P), Log-Normal    FALSE #> 12792  800 0.7651115 0.163718433  fv Log-Normal RP(P), Log-Normal    FALSE #> 12808  801 0.9873650 0.205793074  fv Log-Normal RP(P), Log-Normal    FALSE #> 12824  802 0.8000314 0.169900579  fv Log-Normal RP(P), Log-Normal    FALSE #> 12840  803 0.6589400 0.139023748  fv Log-Normal RP(P), Log-Normal    FALSE #> 12856  804 0.7561575 0.159117690  fv Log-Normal RP(P), Log-Normal    FALSE #> 12872  805 0.8335457 0.177422828  fv Log-Normal RP(P), Log-Normal    FALSE #> 12888  806 0.7948196 0.167169091  fv Log-Normal RP(P), Log-Normal    FALSE #> 12904  807 0.6478946 0.137327899  fv Log-Normal RP(P), Log-Normal    FALSE #> 12920  808 0.5049294 0.107753449  fv Log-Normal RP(P), Log-Normal    FALSE #> 12936  809 0.6866783 0.146444220  fv Log-Normal RP(P), Log-Normal    FALSE #> 12952  810 0.8176093 0.175570535  fv Log-Normal RP(P), Log-Normal    FALSE #> 12968  811 0.4701681 0.101472086  fv Log-Normal RP(P), Log-Normal    FALSE #> 12984  812 0.7254187 0.154409760  fv Log-Normal RP(P), Log-Normal    FALSE #> 13000  813 0.8822935 0.186603747  fv Log-Normal RP(P), Log-Normal    FALSE #> 13016  814 0.6854783 0.145765097  fv Log-Normal RP(P), Log-Normal    FALSE #> 13032  815 0.6016377 0.128446956  fv Log-Normal RP(P), Log-Normal    FALSE #> 13048  816 0.7010985 0.149468580  fv Log-Normal RP(P), Log-Normal    FALSE #> 13064  817 0.4708990 0.102155376  fv Log-Normal RP(P), Log-Normal    FALSE #> 13080  818 0.6450147 0.137380618  fv Log-Normal RP(P), Log-Normal    FALSE #> 13096  819 0.8378345 0.176970921  fv Log-Normal RP(P), Log-Normal    FALSE #> 13112  820 0.8576343 0.180150135  fv Log-Normal RP(P), Log-Normal    FALSE #> 13128  821 0.5662469 0.120721140  fv Log-Normal RP(P), Log-Normal    FALSE #> 13144  822 0.8889136 0.187187876  fv Log-Normal RP(P), Log-Normal    FALSE #> 13160  823 0.9775185 0.205187695  fv Log-Normal RP(P), Log-Normal    FALSE #> 13176  824 0.9211403 0.195513547  fv Log-Normal RP(P), Log-Normal    FALSE #> 13192  825 0.7635747 0.160829429  fv Log-Normal RP(P), Log-Normal    FALSE #> 13208  826 0.8164489 0.174414205  fv Log-Normal RP(P), Log-Normal    FALSE #> 13224  827 0.8926966 0.188893449  fv Log-Normal RP(P), Log-Normal    FALSE #> 13240  828 0.7527147 0.166002735  fv Log-Normal RP(P), Log-Normal    FALSE #> 13256  829 0.7122050 0.151290715  fv Log-Normal RP(P), Log-Normal    FALSE #> 13272  830 0.8138187 0.170842420  fv Log-Normal RP(P), Log-Normal    FALSE #> 13288  831 0.8730454 0.184519785  fv Log-Normal RP(P), Log-Normal    FALSE #> 13304  832 0.5916892 0.128420243  fv Log-Normal RP(P), Log-Normal    FALSE #> 13320  833 0.8830502 0.188067591  fv Log-Normal RP(P), Log-Normal    FALSE #> 13336  834 0.6506210 0.138700701  fv Log-Normal RP(P), Log-Normal    FALSE #> 13352  835 0.6835081 0.144988682  fv Log-Normal RP(P), Log-Normal    FALSE #> 13368  836 0.7839667 0.166049829  fv Log-Normal RP(P), Log-Normal    FALSE #> 13384  837 0.7779566 0.164337100  fv Log-Normal RP(P), Log-Normal    FALSE #> 13400  838 0.7060874 0.150748480  fv Log-Normal RP(P), Log-Normal    FALSE #> 13416  839 0.5924718 0.126535761  fv Log-Normal RP(P), Log-Normal    FALSE #> 13432  840 0.6193618 0.130899012  fv Log-Normal RP(P), Log-Normal    FALSE #> 13448  841 0.9297818 0.194868377  fv Log-Normal RP(P), Log-Normal    FALSE #> 13464  842 0.5606622 0.119736556  fv Log-Normal RP(P), Log-Normal    FALSE #> 13480  843 0.6762162 0.144251070  fv Log-Normal RP(P), Log-Normal    FALSE #> 13496  844 0.9144180 0.191981506  fv Log-Normal RP(P), Log-Normal    FALSE #> 13512  845 0.9881628 0.211034090  fv Log-Normal RP(P), Log-Normal    FALSE #> 13528  846 0.5534972 0.118336281  fv Log-Normal RP(P), Log-Normal    FALSE #> 13544  847 1.0290028 0.214054040  fv Log-Normal RP(P), Log-Normal    FALSE #> 13560  848 0.8411118 0.179136575  fv Log-Normal RP(P), Log-Normal    FALSE #> 13576  849 0.6203488 0.132377496  fv Log-Normal RP(P), Log-Normal    FALSE #> 13592  850 0.8147564 0.170744905  fv Log-Normal RP(P), Log-Normal    FALSE #> 13608  851 0.6998219 0.148832242  fv Log-Normal RP(P), Log-Normal    FALSE #> 13624  852 0.7564399 0.162157304  fv Log-Normal RP(P), Log-Normal    FALSE #> 13640  853 1.0395607 0.217703991  fv Log-Normal RP(P), Log-Normal    FALSE #> 13656  854 0.7111847 0.153481986  fv Log-Normal RP(P), Log-Normal    FALSE #> 13672  855 0.6556235 0.141046741  fv Log-Normal RP(P), Log-Normal    FALSE #> 13688  856 0.8817583 0.185649134  fv Log-Normal RP(P), Log-Normal    FALSE #> 13704  857 0.8236771 0.176693971  fv Log-Normal RP(P), Log-Normal    FALSE #> 13720  858 1.0746228 0.225811089  fv Log-Normal RP(P), Log-Normal     TRUE #> 13736  859 0.9032464 0.189257870  fv Log-Normal RP(P), Log-Normal    FALSE #> 13752  860 0.6669187 0.140695981  fv Log-Normal RP(P), Log-Normal    FALSE #> 13768  861 0.4674381 0.100584211  fv Log-Normal RP(P), Log-Normal    FALSE #> 13784  862 0.6539350 0.139109487  fv Log-Normal RP(P), Log-Normal    FALSE #> 13800  863 0.6985242 0.149374254  fv Log-Normal RP(P), Log-Normal    FALSE #> 13816  864 0.9300939 0.195732499  fv Log-Normal RP(P), Log-Normal    FALSE #> 13832  865 0.9147309 0.192068804  fv Log-Normal RP(P), Log-Normal    FALSE #> 13848  866 0.7371777 0.155715515  fv Log-Normal RP(P), Log-Normal    FALSE #> 13864  867 0.6011364 0.129343485  fv Log-Normal RP(P), Log-Normal    FALSE #> 13880  868 0.9004135 0.190191869  fv Log-Normal RP(P), Log-Normal    FALSE #> 13896  869 0.5327774 0.115070470  fv Log-Normal RP(P), Log-Normal    FALSE #> 13912  870 0.7729887 0.162396364  fv Log-Normal RP(P), Log-Normal    FALSE #> 13928  871 0.5056960 0.108030427  fv Log-Normal RP(P), Log-Normal    FALSE #> 13944  872 0.4679061 0.100976748  fv Log-Normal RP(P), Log-Normal    FALSE #> 13960  873 0.8761508 0.183471906  fv Log-Normal RP(P), Log-Normal    FALSE #> 13976  874 0.7799599 0.169034662  fv Log-Normal RP(P), Log-Normal    FALSE #> 13992  875 0.6787270 0.145232289  fv Log-Normal RP(P), Log-Normal    FALSE #> 14008  876 0.6180641 0.132265443  fv Log-Normal RP(P), Log-Normal    FALSE #> 14024  877 0.5860993 0.126704444  fv Log-Normal RP(P), Log-Normal    FALSE #> 14040  878 0.6935008 0.147945921  fv Log-Normal RP(P), Log-Normal    FALSE #> 14056  879 0.6991619 0.148966789  fv Log-Normal RP(P), Log-Normal    FALSE #> 14072  880 0.8484464 0.178825011  fv Log-Normal RP(P), Log-Normal    FALSE #> 14088  881 0.5680401 0.122215485  fv Log-Normal RP(P), Log-Normal    FALSE #> 14104  882 0.7194115 0.152466317  fv Log-Normal RP(P), Log-Normal    FALSE #> 14120  883 0.6455610 0.138335850  fv Log-Normal RP(P), Log-Normal    FALSE #> 14136  884 0.5987946 0.129856482  fv Log-Normal RP(P), Log-Normal    FALSE #> 14152  885 0.7790563 0.165257741  fv Log-Normal RP(P), Log-Normal    FALSE #> 14168  886 0.6659939 0.143104558  fv Log-Normal RP(P), Log-Normal    FALSE #> 14184  887 0.3835719 0.083984835  fv Log-Normal RP(P), Log-Normal     TRUE #> 14200  888 0.6800915 0.145916762  fv Log-Normal RP(P), Log-Normal    FALSE #> 14216  889 0.7790675 0.168710053  fv Log-Normal RP(P), Log-Normal    FALSE #> 14232  890 0.7112296 0.150790256  fv Log-Normal RP(P), Log-Normal    FALSE #> 14248  891 0.7533556 0.158934342  fv Log-Normal RP(P), Log-Normal    FALSE #> 14264  892 1.0280236 0.216825888  fv Log-Normal RP(P), Log-Normal    FALSE #> 14280  893 0.4979805 0.108875811  fv Log-Normal RP(P), Log-Normal    FALSE #> 14296  894 0.5899637 0.125759510  fv Log-Normal RP(P), Log-Normal    FALSE #> 14312  895 0.8458281 0.181512736  fv Log-Normal RP(P), Log-Normal    FALSE #> 14328  896 0.6045651 0.132440253  fv Log-Normal RP(P), Log-Normal    FALSE #> 14344  897 0.6866283 0.146988855  fv Log-Normal RP(P), Log-Normal    FALSE #> 14360  898 0.9461391 0.207475067  fv Log-Normal RP(P), Log-Normal    FALSE #> 14376  899 0.9445390 0.209309102  fv Log-Normal RP(P), Log-Normal    FALSE #> 14392  900 0.7393498 0.158497566  fv Log-Normal RP(P), Log-Normal    FALSE #> 14408  901 0.7860897 0.165549053  fv Log-Normal RP(P), Log-Normal    FALSE #> 14424  902 0.8546871 0.180690608  fv Log-Normal RP(P), Log-Normal    FALSE #> 14440  903 0.5857383 0.126360181  fv Log-Normal RP(P), Log-Normal    FALSE #> 14456  904 0.7061914 0.151616081  fv Log-Normal RP(P), Log-Normal    FALSE #> 14472  905 0.7376254 0.156073478  fv Log-Normal RP(P), Log-Normal    FALSE #> 14488  906 0.7232913 0.153209296  fv Log-Normal RP(P), Log-Normal    FALSE #> 14504  907 0.6382404 0.136709915  fv Log-Normal RP(P), Log-Normal    FALSE #> 14520  908 0.5651374 0.123783693  fv Log-Normal RP(P), Log-Normal    FALSE #> 14536  909 0.9548552 0.202591456  fv Log-Normal RP(P), Log-Normal    FALSE #> 14552  910 0.6873823 0.148859446  fv Log-Normal RP(P), Log-Normal    FALSE #> 14568  911 0.6891131 0.146179957  fv Log-Normal RP(P), Log-Normal    FALSE #> 14584  912 0.3917437 0.085173152  fv Log-Normal RP(P), Log-Normal     TRUE #> 14600  913 0.6144485 0.130166853  fv Log-Normal RP(P), Log-Normal    FALSE #> 14616  914 0.8656710 0.182025187  fv Log-Normal RP(P), Log-Normal    FALSE #> 14632  915 0.6897622 0.146139260  fv Log-Normal RP(P), Log-Normal    FALSE #> 14648  916 0.7306908 0.154546332  fv Log-Normal RP(P), Log-Normal    FALSE #> 14664  917 0.5319260 0.114753494  fv Log-Normal RP(P), Log-Normal    FALSE #> 14680  918 0.5755386 0.122888377  fv Log-Normal RP(P), Log-Normal    FALSE #> 14696  919 0.6552902 0.138537843  fv Log-Normal RP(P), Log-Normal    FALSE #> 14712  920 0.6870121 0.145734240  fv Log-Normal RP(P), Log-Normal    FALSE #> 14728  921 1.1915721 0.250004473  fv Log-Normal RP(P), Log-Normal     TRUE #> 14744  922 0.6152027 0.130501228  fv Log-Normal RP(P), Log-Normal    FALSE #> 14760  923 1.0916553 0.230692777  fv Log-Normal RP(P), Log-Normal     TRUE #> 14776  924 0.6760298 0.142944236  fv Log-Normal RP(P), Log-Normal    FALSE #> 14792  925 0.7494020 0.158189841  fv Log-Normal RP(P), Log-Normal    FALSE #> 14808  926 0.9539570 0.201126456  fv Log-Normal RP(P), Log-Normal    FALSE #> 14824  927 0.8094500 0.170148180  fv Log-Normal RP(P), Log-Normal    FALSE #> 14840  928 0.6872926 0.144714385  fv Log-Normal RP(P), Log-Normal    FALSE #> 14856  929 0.7639833 0.160366801  fv Log-Normal RP(P), Log-Normal    FALSE #> 14872  930 0.5785785 0.123893681  fv Log-Normal RP(P), Log-Normal    FALSE #> 14888  931 0.8122490 0.171642861  fv Log-Normal RP(P), Log-Normal    FALSE #> 14904  932 0.5424141 0.116670467  fv Log-Normal RP(P), Log-Normal    FALSE #> 14920  933 0.5758885 0.122632998  fv Log-Normal RP(P), Log-Normal    FALSE #> 14936  934 0.6847454 0.144785290  fv Log-Normal RP(P), Log-Normal    FALSE #> 14952  935 0.8990435 0.189337431  fv Log-Normal RP(P), Log-Normal    FALSE #> 14968  936 0.7029922 0.148015811  fv Log-Normal RP(P), Log-Normal    FALSE #> 14984  937 0.8511214 0.180869991  fv Log-Normal RP(P), Log-Normal    FALSE #> 15000  938 0.9018481 0.192865935  fv Log-Normal RP(P), Log-Normal    FALSE #> 15016  939 0.5681631 0.120827024  fv Log-Normal RP(P), Log-Normal    FALSE #> 15032  940 0.8683425 0.190570808  fv Log-Normal RP(P), Log-Normal    FALSE #> 15048  941 0.4731799 0.101370652  fv Log-Normal RP(P), Log-Normal    FALSE #> 15064  942 0.8718579 0.184619662  fv Log-Normal RP(P), Log-Normal    FALSE #> 15080  943 0.5215956 0.111687693  fv Log-Normal RP(P), Log-Normal    FALSE #> 15096  944 0.6585742 0.139791246  fv Log-Normal RP(P), Log-Normal    FALSE #> 15112  945 0.9998814 0.208886842  fv Log-Normal RP(P), Log-Normal    FALSE #> 15128  946 0.8286117 0.174615350  fv Log-Normal RP(P), Log-Normal    FALSE #> 15144  947 0.8353904 0.175679093  fv Log-Normal RP(P), Log-Normal    FALSE #> 15160  948 0.4626225 0.099317399  fv Log-Normal RP(P), Log-Normal    FALSE #> 15176  949 0.7781009 0.168477774  fv Log-Normal RP(P), Log-Normal    FALSE #> 15192  950 0.7759783 0.163272466  fv Log-Normal RP(P), Log-Normal    FALSE #> 15208  951 0.5897491 0.127953505  fv Log-Normal RP(P), Log-Normal    FALSE #> 15224  952 0.6290545 0.134915562  fv Log-Normal RP(P), Log-Normal    FALSE #> 15240  953 0.6030549 0.128014906  fv Log-Normal RP(P), Log-Normal    FALSE #> 15256  954 0.8211460 0.173732484  fv Log-Normal RP(P), Log-Normal    FALSE #> 15272  955 0.7009093 0.148157664  fv Log-Normal RP(P), Log-Normal    FALSE #> 15288  956 0.8915759 0.187676590  fv Log-Normal RP(P), Log-Normal    FALSE #> 15304  957 0.6267329 0.133922808  fv Log-Normal RP(P), Log-Normal    FALSE #> 15320  958 0.6016424 0.128035145  fv Log-Normal RP(P), Log-Normal    FALSE #> 15336  959 0.6840954 0.143990005  fv Log-Normal RP(P), Log-Normal    FALSE #> 15352  960 0.5972503 0.128658505  fv Log-Normal RP(P), Log-Normal    FALSE #> 15368  961 0.8240171 0.173195111  fv Log-Normal RP(P), Log-Normal    FALSE #> 15384  962 0.8506117 0.181056393  fv Log-Normal RP(P), Log-Normal    FALSE #> 15400  963 0.8979819 0.188022071  fv Log-Normal RP(P), Log-Normal    FALSE #> 15416  964 0.6863717 0.145397560  fv Log-Normal RP(P), Log-Normal    FALSE #> 15432  965 0.5656577 0.120857677  fv Log-Normal RP(P), Log-Normal    FALSE #> 15448  966 1.0575889 0.222503361  fv Log-Normal RP(P), Log-Normal     TRUE #> 15464  967 0.9055166 0.192117872  fv Log-Normal RP(P), Log-Normal    FALSE #> 15480  968 0.8399767 0.178050315  fv Log-Normal RP(P), Log-Normal    FALSE #> 15496  969 1.0258198 0.213819100  fv Log-Normal RP(P), Log-Normal    FALSE #> 15512  970 0.7745776 0.163833552  fv Log-Normal RP(P), Log-Normal    FALSE #> 15528  971 0.9605636 0.200926578  fv Log-Normal RP(P), Log-Normal    FALSE #> 15544  972 0.6146916 0.130993578  fv Log-Normal RP(P), Log-Normal    FALSE #> 15560  973 0.9199785 0.192746059  fv Log-Normal RP(P), Log-Normal    FALSE #> 15576  974 0.9125999 0.192011883  fv Log-Normal RP(P), Log-Normal    FALSE #> 15592  975 1.0480335 0.219730800  fv Log-Normal RP(P), Log-Normal    FALSE #> 15608  976 0.8193862 0.179589718  fv Log-Normal RP(P), Log-Normal    FALSE #> 15624  977 1.1556586 0.244268056  fv Log-Normal RP(P), Log-Normal     TRUE #> 15640  978 0.8382332 0.180255798  fv Log-Normal RP(P), Log-Normal    FALSE #> 15656  979 0.6259659 0.132736866  fv Log-Normal RP(P), Log-Normal    FALSE #> 15672  980 0.8406804 0.182112889  fv Log-Normal RP(P), Log-Normal    FALSE #> 15688  981 0.6702017 0.142022616  fv Log-Normal RP(P), Log-Normal    FALSE #> 15704  982 0.7070367 0.153212663  fv Log-Normal RP(P), Log-Normal    FALSE #> 15720  983 0.7404223 0.156213950  fv Log-Normal RP(P), Log-Normal    FALSE #> 15736  984 0.6419067 0.135852588  fv Log-Normal RP(P), Log-Normal    FALSE #> 15752  985 0.8310183 0.173870127  fv Log-Normal RP(P), Log-Normal    FALSE #> 15768  986 0.7701285 0.162750927  fv Log-Normal RP(P), Log-Normal    FALSE #> 15784  987 0.6682787 0.141252244  fv Log-Normal RP(P), Log-Normal    FALSE #> 15800  988 0.9022389 0.190619051  fv Log-Normal RP(P), Log-Normal    FALSE #> 15816  989 0.9754269 0.206348524  fv Log-Normal RP(P), Log-Normal    FALSE #> 15832  990 0.7016794 0.147600528  fv Log-Normal RP(P), Log-Normal    FALSE #> 15848  991 0.7990861 0.167185785  fv Log-Normal RP(P), Log-Normal    FALSE #> 15864  992 0.7155265 0.151583447  fv Log-Normal RP(P), Log-Normal    FALSE #> 15880  993 0.7555724 0.158552064  fv Log-Normal RP(P), Log-Normal    FALSE #> 15896  994 0.7013507 0.151341125  fv Log-Normal RP(P), Log-Normal    FALSE #> 15912  995 0.6369622 0.137876294  fv Log-Normal RP(P), Log-Normal    FALSE #> 15928  996 0.7173666 0.152233112  fv Log-Normal RP(P), Log-Normal    FALSE #> 15944  997 0.7181560 0.152642728  fv Log-Normal RP(P), Log-Normal    FALSE #> 15960  998 0.6523091 0.140451142  fv Log-Normal RP(P), Log-Normal    FALSE #> 15976  999 0.8016289 0.171180170  fv Log-Normal RP(P), Log-Normal    FALSE #> 15992 1000 0.7201794 0.155276856  fv Log-Normal RP(P), Log-Normal    FALSE"},{"path":"https://ellessenne.github.io/rsimsum/reference/frailty.html","id":null,"dir":"Reference","previous_headings":"","what":"Example of a simulation study on frailty survival models — frailty","title":"Example of a simulation study on frailty survival models — frailty","text":"dataset simulation study comparing frailty flexible parametric models fitted using penalised likelihood semiparametric frailty models. models fitted assuming Gamma log-Normal frailty. One thousand datasets simulated, containing binary treatment variable log-hazard ratio -0.50. Clustered survival data simulated assuming 50 clusters 50 individuals , mixture Weibull baseline hazard function frailty following either Gamma Log-Normal distribution. comparison involves estimates log-treatment effect, estimates heterogeneity (.e. estimated frailty variance).","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/frailty.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Example of a simulation study on frailty survival models — frailty","text":"","code":"frailty  frailty2"},{"path":"https://ellessenne.github.io/rsimsum/reference/frailty.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Example of a simulation study on frailty survival models — frailty","text":"data frame 16,000 rows 6 variables: Simulated dataset number. b Point estimate. se Standard error point estimate. par estimand. trt log-treatment effect, fv variance frailty. fv_dist true frailty distribution. model Method used (Cox, Gamma, Cox, Log-Normal, RP(P), Gamma, RP(P), Log-Normal). object class data.frame 16000 rows 7 columns.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/frailty.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Example of a simulation study on frailty survival models — frailty","text":"frailty2 version dataset model column split two columns, m_baseline m_frailty.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/frailty.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Example of a simulation study on frailty survival models — frailty","text":"","code":"data(\"frailty\", package = \"rsimsum\") data(\"frailty2\", package = \"rsimsum\")"},{"path":"https://ellessenne.github.io/rsimsum/reference/get_data.html","id":null,"dir":"Reference","previous_headings":"","what":"get_data — get_data","title":"get_data — get_data","text":"Extract data slots object class simsum, summary.simsum, multisimsum, summary.multisimsum.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/get_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"get_data — get_data","text":"","code":"get_data(x, stats = NULL, ...)"},{"path":"https://ellessenne.github.io/rsimsum/reference/get_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"get_data — get_data","text":"x object class simsum. stats Summary statistics include; can scalar value vector. Possible choices : nsim, number replications non-missing point estimates standard error. thetamean, average point estimate. thetamedian, median point estimate. se2mean, average standard error. se2median, median standard error. bias, bias point estimate. empse, empirical standard error. mse, mean squared error. relprec, percentage gain precision relative reference method. modelse, model-based standard error. relerror, relative percentage error standard error. cover, coverage nominal level\\ becover, bias-eliminated coverage nominal level\\ power, power (1 - level)\\ Defaults NULL, case summary statistics returned. ... Ignored.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/get_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"get_data — get_data","text":"data.frame containing summary statistics simulation study.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/get_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"get_data — get_data","text":"","code":"data(MIsim) x <- simsum(   data = MIsim, estvarname = \"b\", true = 0.5, se = \"se\",   methodvar = \"method\" ) #> 'ref' method was not specified, CC set as the reference get_data(x) #> Warning: `get_data()` was deprecated in rsimsum 0.10.0. #> ℹ Please use `tidy()` instead. #>           stat           est         mcse  method #> 1         nsim  1.000000e+03           NA      CC #> 2    thetamean  5.167662e-01           NA      CC #> 3  thetamedian  5.069935e-01           NA      CC #> 4      se2mean  2.163731e-02           NA      CC #> 5    se2median  2.114245e-02           NA      CC #> 6         bias  1.676616e-02 0.0047786757      CC #> 7        rbias  3.353232e-02 0.0095573514      CC #> 8        empse  1.511150e-01 0.0033807248      CC #> 9          mse  2.309401e-02 0.0011338389      CC #> 10     relprec  0.000000e+00 0.0000000000      CC #> 11     modelse  1.470963e-01 0.0005274099      CC #> 12    relerror -2.659384e+00 2.2054817330      CC #> 13       cover  9.430000e-01 0.0073315073      CC #> 14     becover  9.400000e-01 0.0075099933      CC #> 15       power  9.460000e-01 0.0071473072      CC #> 16        nsim  1.000000e+03           NA MI_LOGT #> 17   thetamean  5.009231e-01           NA MI_LOGT #> 18 thetamedian  4.969223e-01           NA MI_LOGT #> 19     se2mean  1.820915e-02           NA MI_LOGT #> 20   se2median  1.721574e-02           NA MI_LOGT #> 21        bias  9.230987e-04 0.0041744101 MI_LOGT #> 22       rbias  1.846197e-03 0.0083488201 MI_LOGT #> 23       empse  1.320064e-01 0.0029532306 MI_LOGT #> 24         mse  1.740913e-02 0.0008812805 MI_LOGT #> 25     relprec  3.104634e+01 3.9374726448 MI_LOGT #> 26     modelse  1.349413e-01 0.0006046041 MI_LOGT #> 27    relerror  2.223259e+00 2.3323382138 MI_LOGT #> 28       cover  9.490000e-01 0.0069569390 MI_LOGT #> 29     becover  9.490000e-01 0.0069569390 MI_LOGT #> 30       power  9.690000e-01 0.0054807846 MI_LOGT #> 31        nsim  1.000000e+03           NA    MI_T #> 32   thetamean  4.988092e-01           NA    MI_T #> 33 thetamedian  4.939111e-01           NA    MI_T #> 34     se2mean  1.791169e-02           NA    MI_T #> 35   se2median  1.693191e-02           NA    MI_T #> 36        bias -1.190835e-03 0.0042509767    MI_T #> 37       rbias -2.381670e-03 0.0085019534    MI_T #> 38       empse  1.344277e-01 0.0030073985    MI_T #> 39         mse  1.805415e-02 0.0009112249    MI_T #> 40     relprec  2.636816e+01 3.8423791135    MI_T #> 41     modelse  1.338346e-01 0.0005856362    MI_T #> 42    relerror -4.412233e-01 2.2695215740    MI_T #> 43       cover  9.430000e-01 0.0073315073    MI_T #> 44     becover  9.430000e-01 0.0073315073    MI_T #> 45       power  9.630000e-01 0.0059691708    MI_T  # Extracting only bias and coverage: get_data(x, stats = c(\"bias\", \"cover\")) #>    stat           est        mcse  method #> 1  bias  0.0167661608 0.004778676      CC #> 2 cover  0.9430000000 0.007331507      CC #> 3  bias  0.0009230987 0.004174410 MI_LOGT #> 4 cover  0.9490000000 0.006956939 MI_LOGT #> 5  bias -0.0011908351 0.004250977    MI_T #> 6 cover  0.9430000000 0.007331507    MI_T  xs <- summary(x) get_data(xs) #>           stat           est         mcse  method        lower        upper #> 1         nsim  1.000000e+03           NA      CC           NA           NA #> 2    thetamean  5.167662e-01           NA      CC           NA           NA #> 3  thetamedian  5.069935e-01           NA      CC           NA           NA #> 4      se2mean  2.163731e-02           NA      CC           NA           NA #> 5    se2median  2.114245e-02           NA      CC           NA           NA #> 6         bias  1.676616e-02 0.0047786757      CC  0.007400129  0.026132193 #> 7        rbias  3.353232e-02 0.0095573514      CC  0.014800257  0.052264386 #> 8        empse  1.511150e-01 0.0033807248      CC  0.144488895  0.157741093 #> 9          mse  2.309401e-02 0.0011338389      CC  0.020871727  0.025316293 #> 10     relprec  0.000000e+00 0.0000000000      CC  0.000000000  0.000000000 #> 11     modelse  1.470963e-01 0.0005274099      CC  0.146062561  0.148129970 #> 12    relerror -2.659384e+00 2.2054817330      CC -6.982048962  1.663280569 #> 13       cover  9.430000e-01 0.0073315073      CC  0.928630510  0.957369490 #> 14     becover  9.400000e-01 0.0075099933      CC  0.925280684  0.954719316 #> 15       power  9.460000e-01 0.0071473072      CC  0.931991535  0.960008465 #> 16        nsim  1.000000e+03           NA MI_LOGT           NA           NA #> 17   thetamean  5.009231e-01           NA MI_LOGT           NA           NA #> 18 thetamedian  4.969223e-01           NA MI_LOGT           NA           NA #> 19     se2mean  1.820915e-02           NA MI_LOGT           NA           NA #> 20   se2median  1.721574e-02           NA MI_LOGT           NA           NA #> 21        bias  9.230987e-04 0.0041744101 MI_LOGT -0.007258595  0.009104792 #> 22       rbias  1.846197e-03 0.0083488201 MI_LOGT -0.014517189  0.018209584 #> 23       empse  1.320064e-01 0.0029532306 MI_LOGT  0.126218211  0.137794663 #> 24         mse  1.740913e-02 0.0008812805 MI_LOGT  0.015681848  0.019136404 #> 25     relprec  3.104634e+01 3.9374726448 MI_LOGT 23.329036439 38.763645587 #> 26     modelse  1.349413e-01 0.0006046041 MI_LOGT  0.133756280  0.136126285 #> 27    relerror  2.223259e+00 2.3323382138 MI_LOGT -2.348039558  6.794558240 #> 28       cover  9.490000e-01 0.0069569390 MI_LOGT  0.935364650  0.962635350 #> 29     becover  9.490000e-01 0.0069569390 MI_LOGT  0.935364650  0.962635350 #> 30       power  9.690000e-01 0.0054807846 MI_LOGT  0.958257860  0.979742140 #> 31        nsim  1.000000e+03           NA    MI_T           NA           NA #> 32   thetamean  4.988092e-01           NA    MI_T           NA           NA #> 33 thetamedian  4.939111e-01           NA    MI_T           NA           NA #> 34     se2mean  1.791169e-02           NA    MI_T           NA           NA #> 35   se2median  1.693191e-02           NA    MI_T           NA           NA #> 36        bias -1.190835e-03 0.0042509767    MI_T -0.009522596  0.007140926 #> 37       rbias -2.381670e-03 0.0085019534    MI_T -0.019045193  0.014281852 #> 38       empse  1.344277e-01 0.0030073985    MI_T  0.128533294  0.140322080 #> 39         mse  1.805415e-02 0.0009112249    MI_T  0.016268182  0.019840118 #> 40     relprec  2.636816e+01 3.8423791135    MI_T 18.837236583 33.899085938 #> 41     modelse  1.338346e-01 0.0005856362    MI_T  0.132686735  0.134982387 #> 42    relerror -4.412233e-01 2.2695215740    MI_T -4.889403808  4.006957286 #> 43       cover  9.430000e-01 0.0073315073    MI_T  0.928630510  0.957369490 #> 44     becover  9.430000e-01 0.0073315073    MI_T  0.928630510  0.957369490 #> 45       power  9.630000e-01 0.0059691708    MI_T  0.951300640  0.974699360"},{"path":"https://ellessenne.github.io/rsimsum/reference/is.multisimsum.html","id":null,"dir":"Reference","previous_headings":"","what":"is.multisimsum — is.multisimsum","title":"is.multisimsum — is.multisimsum","text":"Reports whether x multisimsum object","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/is.multisimsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"is.multisimsum — is.multisimsum","text":"","code":"is.multisimsum(x)"},{"path":"https://ellessenne.github.io/rsimsum/reference/is.multisimsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"is.multisimsum — is.multisimsum","text":"x object test.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/is.simsum.html","id":null,"dir":"Reference","previous_headings":"","what":"is.simsum — is.simsum","title":"is.simsum — is.simsum","text":"Reports whether x simsum object","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/is.simsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"is.simsum — is.simsum","text":"","code":"is.simsum(x)"},{"path":"https://ellessenne.github.io/rsimsum/reference/is.simsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"is.simsum — is.simsum","text":"x object test.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/is.summary.multisimsum.html","id":null,"dir":"Reference","previous_headings":"","what":"is.summary.multisimsum — is.summary.multisimsum","title":"is.summary.multisimsum — is.summary.multisimsum","text":"Reports whether x summary.multisimsum object","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/is.summary.multisimsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"is.summary.multisimsum — is.summary.multisimsum","text":"","code":"is.summary.multisimsum(x)"},{"path":"https://ellessenne.github.io/rsimsum/reference/is.summary.multisimsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"is.summary.multisimsum — is.summary.multisimsum","text":"x object test.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/is.summary.simsum.html","id":null,"dir":"Reference","previous_headings":"","what":"is.summary.simsum — is.summary.simsum","title":"is.summary.simsum — is.summary.simsum","text":"Reports whether x summary.simsum object","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/is.summary.simsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"is.summary.simsum — is.summary.simsum","text":"","code":"is.summary.simsum(x)"},{"path":"https://ellessenne.github.io/rsimsum/reference/is.summary.simsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"is.summary.simsum — is.summary.simsum","text":"x object test.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/kable.simsum.html","id":null,"dir":"Reference","previous_headings":"","what":"Create 'kable's — kable.simsum","title":"Create 'kable's — kable.simsum","text":"Create tables LaTeX, HTML, Markdown, reStructuredText objects class simsum, summary.simsum, multisimsum, summary.multisimsum.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/kable.simsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create 'kable's — kable.simsum","text":"","code":"# S3 method for simsum kable(x, stats = NULL, digits = max(3, getOption(\"digits\") - 3), ...)  # S3 method for summary.simsum kable(x, stats = NULL, digits = max(3, getOption(\"digits\") - 3), ...)  # S3 method for multisimsum kable(x, stats = NULL, digits = max(3, getOption(\"digits\") - 3), ...)  # S3 method for summary.multisimsum kable(x, stats = NULL, digits = max(3, getOption(\"digits\") - 3), ...)  kable(x, ...)"},{"path":"https://ellessenne.github.io/rsimsum/reference/kable.simsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create 'kable's — kable.simsum","text":"x object class simsum, summary.simsum, multisimsum, summary.multisimsum; stats Summary statistics include. See tidy() details; digits Maximum number digits numeric columns; ... arguments passed knitr::kable().","code":""},{"path":[]},{"path":"https://ellessenne.github.io/rsimsum/reference/multisimsum.html","id":null,"dir":"Reference","previous_headings":"","what":"Analyses of simulation studies with multiple estimands at once, including Monte Carlo error — multisimsum","title":"Analyses of simulation studies with multiple estimands at once, including Monte Carlo error — multisimsum","text":"multisimsum extension simsum() can handle multiple estimated parameters . multisimsum calls simsum() internally, estimands . one new argument must set calling multisimsum: par, string representing column data identifies different estimands. Additionally, multisimsum argument true can named vector, names correspond estimand (see examples). Otherwise, constant values (values identified column data) utilised. See vignette(\"E-custom-inputs\", package = \"rsimsum\") details.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/multisimsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Analyses of simulation studies with multiple estimands at once, including Monte Carlo error — multisimsum","text":"","code":"multisimsum(   data,   par,   estvarname,   se = NULL,   true = NULL,   methodvar = NULL,   ref = NULL,   by = NULL,   ci.limits = NULL,   df = NULL,   dropbig = FALSE,   x = FALSE,   control = list() )"},{"path":"https://ellessenne.github.io/rsimsum/reference/multisimsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Analyses of simulation studies with multiple estimands at once, including Monte Carlo error — multisimsum","text":"data data.frame variable names interpreted. tidy format, e.g. variable forms column observation forms row. par name variable containing methods compare. Can NULL. estvarname name variable containing point estimates. se name variable containing standard errors point estimates. true true value parameter; used calculations bias, relative bias, coverage, mean squared error required whenever performance measures requested. true can numeric value string identifies column data. former setting, simsum assume value replications; conversely, replication use distinct value true identified row data. See vignette(\"E-custom-inputs\", package = \"rsimsum\") details. methodvar name variable containing methods compare. instance, methods models compared within simulation study. Can NULL. vector column names passed simsum(), columns combined single column named :methodvar using base::interaction() function computing performance measures. ref Specifies reference method relative precision calculated. useful methodvar specified. vector variable names compute performance measures list factors. Factors listed (potentially several) data-generating mechanisms used simulate data different scenarios (e.g. sample size, true distribution variable, etc.). Can NULL. ci.limits Can used specify limits (lower upper) confidence intervals used calculate coverage bias-eliminated coverage. Useful non-Wald type estimators (e.g. bootstrap). Defaults NULL, Wald-type confidence intervals based provided SEs calculated coverage; otherwise, can numeric vector (fixed confidence intervals) vector strings identify columns data replication-specific lower upper limits. See vignette(\"E-custom-inputs\", package = \"rsimsum\") details. df Can used specify column containing replication-specific number degrees freedom used calculate confidence intervals coverage (bias-eliminated coverage) assuming t-distributed critical values (rather normal theory intervals). See vignette(\"E-custom-inputs\", package = \"rsimsum\") details. dropbig Specifies point estimates standard errors beyond maximum acceptable values dropped. Defaults FALSE. x Set TRUE include data argument used calculate summary statistics (.e. pre-processing input dataset e.g. removing values deemed large via dropbig argument) slot. Calling simsum x = TRUE required produce zipper plots. downside size returned object increases considerably, therefore set FALSE default. control list parameters control behaviour simsum. Possible values : mcse, whether calculate Monte Carlo standard errors. Defaults TRUE; level, significance level used coverage, bias-eliminated coverage, power. Defaults 0.95; power_df, whether use robust critical values t distribution power_df degrees freedom calculating power. Defaults NULL, case Gaussian distribution used; na.rm, whether remove point estimates standard errors either () missing. Defaults TRUE; char.sep, character utilised splitting input dataset data. Generally, changed; dropbig.max, specifies maximum acceptable absolute value point estimates, standardisation. Defaults 10; dropbig.semax, specifies maximum acceptable absolute value standard error, standardisation. Defaults 100 dropbig.robust, specifies whether use robust standardisation (using median inter-quartile range) rather normal standardisation (using mean standard deviation). Defaults TRUE, case robust standardisation used dropbig.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/multisimsum.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Analyses of simulation studies with multiple estimands at once, including Monte Carlo error — multisimsum","text":"object class multisimsum.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/multisimsum.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Analyses of simulation studies with multiple estimands at once, including Monte Carlo error — multisimsum","text":"following names allowed estvarname, se, methodvar, , par: stat, est, mcse, lower, upper, :methodvar.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/multisimsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Analyses of simulation studies with multiple estimands at once, including Monte Carlo error — multisimsum","text":"","code":"data(\"frailty\", package = \"rsimsum\") ms <- multisimsum(   data = frailty,   par = \"par\", true = c(trt = -0.50, fv = 0.75),   estvarname = \"b\", se = \"se\", methodvar = \"model\",   by = \"fv_dist\" ) #> 'ref' method was not specified, Cox, Gamma set as the reference ms #>  #> Estimands variable: par  #> \tUnique estimands: fv, trt  #> \tTrue values: fv = -0.5, trt = 0.75  #>  #> Method variable: model  #> \tUnique methods: Cox, Gamma, Cox, Log-Normal, RP(P), Gamma, RP(P), Log-Normal  #> \tReference method: Cox, Gamma  #>  #> By factors: fv_dist  #>  #> Monte Carlo standard errors were computed."},{"path":"https://ellessenne.github.io/rsimsum/reference/nlp.html","id":null,"dir":"Reference","previous_headings":"","what":"Example of a simulation study on survival modelling — nlp","title":"Example of a simulation study on survival modelling — nlp","text":"dataset simulation study 150 data-generating mechanisms, useful illustrate nested loop plots. simulation study aims compare Cox model flexible parametric models variety scenarios: different baseline hazard functions, sample size, varying amount heterogeneity unaccounted model (simulated white noise given variance). Cox model Royston-Parmar model 5 degrees freedom fit replication.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/nlp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Example of a simulation study on survival modelling — nlp","text":"","code":"nlp"},{"path":"https://ellessenne.github.io/rsimsum/reference/nlp.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Example of a simulation study on survival modelling — nlp","text":"data frame 30,000 rows 10 variables: dgm Data-generating mechanism, 1 150. Simulated dataset number. model Method used, 1 Cox model 2 RP(5) model. b Point estimate log-hazard ratio. se Standard error point estimate. baseline Baseline hazard function simulated dataset. ss Sample size simulated dataset. esigma Standard deviation white noise. pars (Ancillary) Parameters baseline hazard function.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/nlp.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Example of a simulation study on survival modelling — nlp","text":"details simulation study can found R script used generate dataset, available GitHub: https://github.com/ellessenne/rsimsum/blob/master/data-raw/nlp-data.R","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/nlp.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Example of a simulation study on survival modelling — nlp","text":"Cox D.R. 1972. Regression models life-tables. Journal Royal Statistical Society, Series B (Methodological) 34(2):187-220. doi:10.1007/978-1-4612-4380-9_37 Royston, P. Parmar, M.K. 2002. Flexible parametric proportional-hazards proportional-odds models censored survival data, application prognostic modelling estimation treatment effects. Statistics Medicine 21(15):2175-2197 doi:10.1002/sim.1203 Rücker, G. Schwarzer, G. 2014. Presenting simulation results nested loop plot. BMC Medical Research Methodology 14:129 doi:10.1186/1471-2288-14-129","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/nlp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Example of a simulation study on survival modelling — nlp","text":"","code":"data(\"nlp\", package = \"rsimsum\")"},{"path":"https://ellessenne.github.io/rsimsum/reference/nsim.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute number of simulations required — nsim","title":"Compute number of simulations required — nsim","text":"function nsim computes number simulations \\(B\\) perform based accuracy estimate interest, using following equation: $$B = \\left( \\frac{(Z_{1 - \\alpha / 2} + Z_{1 - theta}) \\sigma}{\\delta} \\right) ^ 2,$$ \\(\\delta\\) specified level accuracy estimate interest willing accept (.e. permissible difference true value \\(\\beta\\)), \\(Z_{1 - \\alpha / 2}\\) \\((1 - \\alpha / 2)\\) quantile standard normal distribution, \\(Z_{1 - \\theta}\\) \\((1 - \\theta)\\) quantile standard normal distribution \\((1 - \\theta)\\) power detect specific difference true value significant, \\(\\sigma ^ 2\\) variance parameter interest.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/nsim.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute number of simulations required — nsim","text":"","code":"nsim(alpha, sigma, delta, power = 0.5)"},{"path":"https://ellessenne.github.io/rsimsum/reference/nsim.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute number of simulations required — nsim","text":"alpha Significance level. Must value 0 1. sigma Variance parameter interest. Must greater 0. delta Specified level accuracy estimate interest willing accept. Must greater 0. power Power detect specific difference true value significant. Must value 0 1. Defaults 0.5, e.g. power 50%.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/nsim.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute number of simulations required — nsim","text":"scalar value \\(B\\) representing number simulations perform based accuracy required.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/nsim.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Compute number of simulations required — nsim","text":"Burton, ., Douglas G. Altman, P. Royston. et al. 2006. design simulation studies medical statistics. Statistics Medicine 25: 4279-4292 doi:10.1002/sim.2673","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/nsim.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute number of simulations required — nsim","text":"","code":"# Number of simulations required to produce an estimate to within 5% # accuracy of the true coefficient of 0.349 with a 5% significance level, # assuming the variance of the estimate is 0.0166 and 50% power: nsim(alpha = 0.05, sigma = sqrt(0.0166), delta = 0.349 * 5 / 100, power = 0.5) #> [1] 209.4177  # Number of simulations required to produce an estimate to within 1% # accuracy of the true coefficient of 0.349 with a 5% significance level, # assuming the variance of the estimate is 0.0166 and 50% power: nsim(alpha = 0.05, sigma = sqrt(0.0166), delta = 0.349 * 1 / 100, power = 0.5) #> [1] 5235.443"},{"path":"https://ellessenne.github.io/rsimsum/reference/print.multisimsum.html","id":null,"dir":"Reference","previous_headings":"","what":"print.multisimsum — print.multisimsum","title":"print.multisimsum — print.multisimsum","text":"Print method multisimsum objects","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/print.multisimsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"print.multisimsum — print.multisimsum","text":"","code":"# S3 method for multisimsum print(x, ...)"},{"path":"https://ellessenne.github.io/rsimsum/reference/print.multisimsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"print.multisimsum — print.multisimsum","text":"x object class multisimsum. ... Ignored.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/print.multisimsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"print.multisimsum — print.multisimsum","text":"","code":"data(frailty) ms <- multisimsum(   data = frailty, par = \"par\", true = c(     trt = -0.50,     fv = 0.75   ), estvarname = \"b\", se = \"se\", methodvar = \"model\",   by = \"fv_dist\" ) #> 'ref' method was not specified, Cox, Gamma set as the reference ms #>  #> Estimands variable: par  #> \tUnique estimands: fv, trt  #> \tTrue values: fv = -0.5, trt = 0.75  #>  #> Method variable: model  #> \tUnique methods: Cox, Gamma, Cox, Log-Normal, RP(P), Gamma, RP(P), Log-Normal  #> \tReference method: Cox, Gamma  #>  #> By factors: fv_dist  #>  #> Monte Carlo standard errors were computed.  data(\"frailty\", package = \"rsimsum\") frailty$true <- ifelse(frailty$par == \"trt\", -0.50, 0.75) ms <- multisimsum(data = frailty, par = \"par\", estvarname = \"b\", true = \"true\") ms #>  #> Estimands variable: par  #> \tUnique estimands: fv, trt  #> \tTrue values from column 'true'  #>  #> Method variable: none #>  #> By factors: none #>  #> Monte Carlo standard errors were computed."},{"path":"https://ellessenne.github.io/rsimsum/reference/print.simsum.html","id":null,"dir":"Reference","previous_headings":"","what":"print.simsum — print.simsum","title":"print.simsum — print.simsum","text":"Print method simsum objects","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/print.simsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"print.simsum — print.simsum","text":"","code":"# S3 method for simsum print(x, ...)"},{"path":"https://ellessenne.github.io/rsimsum/reference/print.simsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"print.simsum — print.simsum","text":"x object class simsum. ... Ignored.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/print.simsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"print.simsum — print.simsum","text":"","code":"data(\"MIsim\") x <- simsum(   data = MIsim, estvarname = \"b\", true = 0.5, se = \"se\",   methodvar = \"method\" ) #> 'ref' method was not specified, CC set as the reference x #> Summary of a simulation study with a single estimand. #> True value of the estimand: 0.5  #>  #> Method variable: method  #> \tUnique methods: CC, MI_LOGT, MI_T  #> \tReference method: CC  #>  #> By factors: none #>  #> Monte Carlo standard errors were computed.  MIsim$true <- 0.5 x <- simsum(data = MIsim, estvarname = \"b\", true = \"true\", se = \"se\") x #> Summary of a simulation study with a single estimand. #> True value of the estimand from column 'true'  #>  #> Method variable: none #>  #> By factors: none #>  #> Monte Carlo standard errors were computed."},{"path":"https://ellessenne.github.io/rsimsum/reference/print.summary.multisimsum.html","id":null,"dir":"Reference","previous_headings":"","what":"print.summary.multisimsum — print.summary.multisimsum","title":"print.summary.multisimsum — print.summary.multisimsum","text":"Print method summary.multisimsum objects","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/print.summary.multisimsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"print.summary.multisimsum — print.summary.multisimsum","text":"","code":"# S3 method for summary.multisimsum print(x, digits = 4, mcse = TRUE, ...)"},{"path":"https://ellessenne.github.io/rsimsum/reference/print.summary.multisimsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"print.summary.multisimsum — print.summary.multisimsum","text":"x object class summary.multisimsum. digits Number significant digits used printing. Defaults 4. mcse Monte Carlo standard errors reported? mcse = FALSE, confidence intervals based Monte Carlo standard errors reported instead, see summary.multisimsum(). NULL value passed, point estimates printed regardless whether Monte Carlo standard errors computed . Defaults TRUE. ... Ignored.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/print.summary.multisimsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"print.summary.multisimsum — print.summary.multisimsum","text":"","code":"data(frailty) ms <- multisimsum(   data = frailty, par = \"par\", true = c(     trt = -0.50,     fv = 0.75   ), estvarname = \"b\", se = \"se\", methodvar = \"model\",   by = \"fv_dist\" ) #> 'ref' method was not specified, Cox, Gamma set as the reference sms <- summary(ms, stats = c(\"bias\", \"cover\", \"mse\")) sms #> Values are: #> \tPoint Estimate (Monte Carlo Standard Error) #>  #>     #> Parameter: fv  #>  #> Bias in point estimate: #>     fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma #>       Gamma -0.0124 (0.0045)  0.2299 (0.0076) -0.0179 (0.0044) #>  Log-Normal -0.1064 (0.0043) -0.0175 (0.0049) -0.1066 (0.0041) #>  RP(P), Log-Normal #>    0.2347 (0.0077) #>   -0.0152 (0.0050) #>  #> Mean squared error: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.0203 (0.0010) 0.1107 (0.0055) 0.0195 (0.0009)   0.1145 (0.0057) #>  Log-Normal 0.0287 (0.0010) 0.0244 (0.0011) 0.0284 (0.0010)   0.0248 (0.0012) #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.9201 (0.0087) 0.9220 (0.0085) 0.9300 (0.0082)   0.9030 (0.0094) #>  Log-Normal 0.7503 (0.0140) 0.9020 (0.0094) 0.7683 (0.0134)   0.9280 (0.0082) #>  #>  --------------------------------------------------------------------------------  #>   #> Parameter: trt  #>  #> Bias in point estimate: #>     fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma #>       Gamma -0.0006 (0.0016) -0.0013 (0.0016) -0.0003 (0.0016) #>  Log-Normal -0.0006 (0.0015) -0.0014 (0.0015) -0.0006 (0.0015) #>  RP(P), Log-Normal #>   -0.0015 (0.0016) #>   -0.0016 (0.0015) #>  #> Mean squared error: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.0026 (0.0001) 0.0026 (0.0001) 0.0026 (0.0001)   0.0026 (0.0001) #>  Log-Normal 0.0022 (0.0001) 0.0022 (0.0001) 0.0022 (0.0001)   0.0022 (0.0001) #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.9500 (0.0069) 0.9490 (0.0070) 0.9506 (0.0070)   0.9500 (0.0069) #>  Log-Normal 0.9410 (0.0075) 0.9420 (0.0074) 0.9428 (0.0074)   0.9430 (0.0073)  # Printing less significant digits: print(sms, digits = 3) #> Values are: #> \tPoint Estimate (Monte Carlo Standard Error) #>  #>     #> Parameter: fv  #>  #> Bias in point estimate: #>     fv_dist     Cox, Gamma Cox, Log-Normal   RP(P), Gamma RP(P), Log-Normal #>       Gamma -0.012 (0.005)   0.230 (0.008) -0.018 (0.004)     0.235 (0.008) #>  Log-Normal -0.106 (0.004)  -0.017 (0.005) -0.107 (0.004)    -0.015 (0.005) #>  #> Mean squared error: #>     fv_dist    Cox, Gamma Cox, Log-Normal  RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.020 (0.001)   0.111 (0.005) 0.020 (0.001)     0.114 (0.006) #>  Log-Normal 0.029 (0.001)   0.024 (0.001) 0.028 (0.001)     0.025 (0.001) #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist    Cox, Gamma Cox, Log-Normal  RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.920 (0.009)   0.922 (0.008) 0.930 (0.008)     0.903 (0.009) #>  Log-Normal 0.750 (0.014)   0.902 (0.009) 0.768 (0.013)     0.928 (0.008) #>  #>  --------------------------------------------------------------------------------  #>   #> Parameter: trt  #>  #> Bias in point estimate: #>     fv_dist     Cox, Gamma Cox, Log-Normal   RP(P), Gamma RP(P), Log-Normal #>       Gamma -0.001 (0.002)  -0.001 (0.002) -0.000 (0.002)    -0.002 (0.002) #>  Log-Normal -0.001 (0.001)  -0.001 (0.001) -0.001 (0.001)    -0.002 (0.001) #>  #> Mean squared error: #>     fv_dist    Cox, Gamma Cox, Log-Normal  RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.003 (0.000)   0.003 (0.000) 0.003 (0.000)     0.003 (0.000) #>  Log-Normal 0.002 (0.000)   0.002 (0.000) 0.002 (0.000)     0.002 (0.000) #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist    Cox, Gamma Cox, Log-Normal  RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.950 (0.007)   0.949 (0.007) 0.951 (0.007)     0.950 (0.007) #>  Log-Normal 0.941 (0.007)   0.942 (0.007) 0.943 (0.007)     0.943 (0.007)  # Printing confidence intervals: print(sms, digits = 3, mcse = FALSE) #> Values are: #> \tPoint Estimate (95% Confidence Interval based on Monte Carlo Standard Errors) #>  #>     #> Parameter: fv  #>  #> Bias in point estimate: #>     fv_dist              Cox, Gamma         Cox, Log-Normal #>       Gamma -0.012 (-0.021, -0.003)    0.230 (0.215, 0.245) #>  Log-Normal -0.106 (-0.115, -0.098) -0.017 (-0.027, -0.008) #>             RP(P), Gamma       RP(P), Log-Normal #>  -0.018 (-0.027, -0.009)    0.235 (0.220, 0.250) #>  -0.107 (-0.115, -0.098) -0.015 (-0.025, -0.006) #>  #> Mean squared error: #>     fv_dist           Cox, Gamma      Cox, Log-Normal         RP(P), Gamma #>       Gamma 0.020 (0.018, 0.022) 0.111 (0.100, 0.121) 0.020 (0.018, 0.021) #>  Log-Normal 0.029 (0.027, 0.031) 0.024 (0.022, 0.027) 0.028 (0.026, 0.030) #>     RP(P), Log-Normal #>  0.114 (0.103, 0.126) #>  0.025 (0.023, 0.027) #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist           Cox, Gamma      Cox, Log-Normal         RP(P), Gamma #>       Gamma 0.920 (0.903, 0.937) 0.922 (0.905, 0.939) 0.930 (0.914, 0.946) #>  Log-Normal 0.750 (0.723, 0.778) 0.902 (0.884, 0.920) 0.768 (0.742, 0.794) #>     RP(P), Log-Normal #>  0.903 (0.885, 0.921) #>  0.928 (0.912, 0.944) #>  #>  --------------------------------------------------------------------------------  #>   #> Parameter: trt  #>  #> Bias in point estimate: #>     fv_dist             Cox, Gamma        Cox, Log-Normal #>       Gamma -0.001 (-0.004, 0.003) -0.001 (-0.004, 0.002) #>  Log-Normal -0.001 (-0.004, 0.002) -0.001 (-0.004, 0.002) #>            RP(P), Gamma      RP(P), Log-Normal #>  -0.000 (-0.003, 0.003) -0.002 (-0.005, 0.002) #>  -0.001 (-0.004, 0.002) -0.002 (-0.005, 0.001) #>  #> Mean squared error: #>     fv_dist           Cox, Gamma      Cox, Log-Normal         RP(P), Gamma #>       Gamma 0.003 (0.002, 0.003) 0.003 (0.002, 0.003) 0.003 (0.002, 0.003) #>  Log-Normal 0.002 (0.002, 0.002) 0.002 (0.002, 0.002) 0.002 (0.002, 0.002) #>     RP(P), Log-Normal #>  0.003 (0.002, 0.003) #>  0.002 (0.002, 0.002) #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist           Cox, Gamma      Cox, Log-Normal         RP(P), Gamma #>       Gamma 0.950 (0.936, 0.964) 0.949 (0.935, 0.963) 0.951 (0.937, 0.964) #>  Log-Normal 0.941 (0.926, 0.956) 0.942 (0.928, 0.956) 0.943 (0.928, 0.957) #>     RP(P), Log-Normal #>  0.950 (0.936, 0.964) #>  0.943 (0.929, 0.957)  # Printing values only: print(sms, mcse = NULL) #> Values are: #> \tPoint Estimate #>  #>     #> Parameter: fv  #>  #> Bias in point estimate: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma    -0.0124          0.2299      -0.0179            0.2347 #>  Log-Normal    -0.1064         -0.0175      -0.1066           -0.0152 #>  #> Mean squared error: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma     0.0203          0.1107       0.0195            0.1145 #>  Log-Normal     0.0287          0.0244       0.0284            0.0248 #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma     0.9201          0.9220       0.9300            0.9030 #>  Log-Normal     0.7503          0.9020       0.7683            0.9280 #>  #>  --------------------------------------------------------------------------------  #>   #> Parameter: trt  #>  #> Bias in point estimate: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma    -0.0006         -0.0013      -0.0003           -0.0015 #>  Log-Normal    -0.0006         -0.0014      -0.0006           -0.0016 #>  #> Mean squared error: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma     0.0026          0.0026       0.0026            0.0026 #>  Log-Normal     0.0022          0.0022       0.0022            0.0022 #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma     0.9500          0.9490       0.9506            0.9500 #>  Log-Normal     0.9410          0.9420       0.9428            0.9430"},{"path":"https://ellessenne.github.io/rsimsum/reference/print.summary.simsum.html","id":null,"dir":"Reference","previous_headings":"","what":"print.summary.simsum — print.summary.simsum","title":"print.summary.simsum — print.summary.simsum","text":"Print method summary.simsum objects","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/print.summary.simsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"print.summary.simsum — print.summary.simsum","text":"","code":"# S3 method for summary.simsum print(x, digits = 4, mcse = TRUE, ...)"},{"path":"https://ellessenne.github.io/rsimsum/reference/print.summary.simsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"print.summary.simsum — print.summary.simsum","text":"x object class summary.simsum. digits Number significant digits used printing. Defaults 4. mcse Monte Carlo standard errors reported? mcse = FALSE, confidence intervals based Monte Carlo standard errors reported instead, see summary.simsum(). NULL value passed, point estimates printed regardless whether Monte Carlo standard errors computed . Defaults TRUE. ... Ignored.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/print.summary.simsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"print.summary.simsum — print.summary.simsum","text":"","code":"data(\"MIsim\") x <- simsum(   data = MIsim, estvarname = \"b\", true = 0.5, se = \"se\",   methodvar = \"method\" ) #> 'ref' method was not specified, CC set as the reference xs <- summary(x) xs #> Values are: #> \tPoint Estimate (Monte Carlo Standard Error) #>  #> Non-missing point estimates/standard errors: #>    CC MI_LOGT MI_T #>  1000    1000 1000 #>  #> Average point estimate: #>      CC MI_LOGT   MI_T #>  0.5168  0.5009 0.4988 #>  #> Median point estimate: #>      CC MI_LOGT   MI_T #>  0.5070  0.4969 0.4939 #>  #> Average variance: #>      CC MI_LOGT   MI_T #>  0.0216  0.0182 0.0179 #>  #> Median variance: #>      CC MI_LOGT   MI_T #>  0.0211  0.0172 0.0169 #>  #> Bias in point estimate: #>               CC         MI_LOGT             MI_T #>  0.0168 (0.0048) 0.0009 (0.0042) -0.0012 (0.0043) #>  #> Relative bias in point estimate: #>               CC         MI_LOGT             MI_T #>  0.0335 (0.0096) 0.0018 (0.0083) -0.0024 (0.0085) #>  #> Empirical standard error: #>               CC         MI_LOGT            MI_T #>  0.1511 (0.0034) 0.1320 (0.0030) 0.1344 (0.0030) #>  #> % gain in precision relative to method CC: #>               CC          MI_LOGT             MI_T #>  0.0000 (0.0000) 31.0463 (3.9375) 26.3682 (3.8424) #>  #> Mean squared error: #>               CC         MI_LOGT            MI_T #>  0.0231 (0.0011) 0.0174 (0.0009) 0.0181 (0.0009) #>  #> Model-based standard error: #>               CC         MI_LOGT            MI_T #>  0.1471 (0.0005) 0.1349 (0.0006) 0.1338 (0.0006) #>  #> Relative % error in standard error: #>                CC         MI_LOGT             MI_T #>  -2.6594 (2.2055) 2.2233 (2.3323) -0.4412 (2.2695) #>  #> Coverage of nominal 95% confidence interval: #>               CC         MI_LOGT            MI_T #>  0.9430 (0.0073) 0.9490 (0.0070) 0.9430 (0.0073) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>               CC         MI_LOGT            MI_T #>  0.9400 (0.0075) 0.9490 (0.0070) 0.9430 (0.0073) #>  #> Power of 5% level test: #>               CC         MI_LOGT            MI_T #>  0.9460 (0.0071) 0.9690 (0.0055) 0.9630 (0.0060)  # Printing less significant digits: print(xs, digits = 2) #> Values are: #> \tPoint Estimate (Monte Carlo Standard Error) #>  #> Non-missing point estimates/standard errors: #>    CC MI_LOGT MI_T #>  1000    1000 1000 #>  #> Average point estimate: #>    CC MI_LOGT MI_T #>  0.52    0.50 0.50 #>  #> Median point estimate: #>    CC MI_LOGT MI_T #>  0.51    0.50 0.49 #>  #> Average variance: #>    CC MI_LOGT MI_T #>  0.02    0.02 0.02 #>  #> Median variance: #>    CC MI_LOGT MI_T #>  0.02    0.02 0.02 #>  #> Bias in point estimate: #>           CC     MI_LOGT         MI_T #>  0.02 (0.00) 0.00 (0.00) -0.00 (0.00) #>  #> Relative bias in point estimate: #>           CC     MI_LOGT         MI_T #>  0.03 (0.01) 0.00 (0.01) -0.00 (0.01) #>  #> Empirical standard error: #>           CC     MI_LOGT        MI_T #>  0.15 (0.00) 0.13 (0.00) 0.13 (0.00) #>  #> % gain in precision relative to method CC: #>           CC      MI_LOGT         MI_T #>  0.00 (0.00) 31.05 (3.94) 26.37 (3.84) #>  #> Mean squared error: #>           CC     MI_LOGT        MI_T #>  0.02 (0.00) 0.02 (0.00) 0.02 (0.00) #>  #> Model-based standard error: #>           CC     MI_LOGT        MI_T #>  0.15 (0.00) 0.13 (0.00) 0.13 (0.00) #>  #> Relative % error in standard error: #>            CC     MI_LOGT         MI_T #>  -2.66 (2.21) 2.22 (2.33) -0.44 (2.27) #>  #> Coverage of nominal 95% confidence interval: #>           CC     MI_LOGT        MI_T #>  0.94 (0.01) 0.95 (0.01) 0.94 (0.01) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>           CC     MI_LOGT        MI_T #>  0.94 (0.01) 0.95 (0.01) 0.94 (0.01) #>  #> Power of 5% level test: #>           CC     MI_LOGT        MI_T #>  0.95 (0.01) 0.97 (0.01) 0.96 (0.01)  # Printing confidence intervals: print(xs, mcse = FALSE) #> Values are: #> \tPoint Estimate (95% Confidence Interval based on Monte Carlo Standard Errors) #>  #> Non-missing point estimates/standard errors: #>    CC MI_LOGT MI_T #>  1000    1000 1000 #>  #> Average point estimate: #>      CC MI_LOGT   MI_T #>  0.5168  0.5009 0.4988 #>  #> Median point estimate: #>      CC MI_LOGT   MI_T #>  0.5070  0.4969 0.4939 #>  #> Average variance: #>      CC MI_LOGT   MI_T #>  0.0216  0.0182 0.0179 #>  #> Median variance: #>      CC MI_LOGT   MI_T #>  0.0211  0.0172 0.0169 #>  #> Bias in point estimate: #>                       CC                  MI_LOGT                      MI_T #>  0.0168 (0.0074, 0.0261) 0.0009 (-0.0073, 0.0091) -0.0012 (-0.0095, 0.0071) #>  #> Relative bias in point estimate: #>                       CC                  MI_LOGT                      MI_T #>  0.0335 (0.0148, 0.0523) 0.0018 (-0.0145, 0.0182) -0.0024 (-0.0190, 0.0143) #>  #> Empirical standard error: #>                       CC                 MI_LOGT                    MI_T #>  0.1511 (0.1445, 0.1577) 0.1320 (0.1262, 0.1378) 0.1344 (0.1285, 0.1403) #>  #> % gain in precision relative to method CC: #>                       CC                    MI_LOGT                       MI_T #>  0.0000 (0.0000, 0.0000) 31.0463 (23.3290, 38.7636) 26.3682 (18.8372, 33.8991) #>  #> Mean squared error: #>                       CC                 MI_LOGT                    MI_T #>  0.0231 (0.0209, 0.0253) 0.0174 (0.0157, 0.0191) 0.0181 (0.0163, 0.0198) #>  #> Model-based standard error: #>                       CC                 MI_LOGT                    MI_T #>  0.1471 (0.1461, 0.1481) 0.1349 (0.1338, 0.1361) 0.1338 (0.1327, 0.1350) #>  #> Relative % error in standard error: #>                         CC                  MI_LOGT                      MI_T #>  -2.6594 (-6.9820, 1.6633) 2.2233 (-2.3480, 6.7946) -0.4412 (-4.8894, 4.0070) #>  #> Coverage of nominal 95% confidence interval: #>                       CC                 MI_LOGT                    MI_T #>  0.9430 (0.9286, 0.9574) 0.9490 (0.9354, 0.9626) 0.9430 (0.9286, 0.9574) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>                       CC                 MI_LOGT                    MI_T #>  0.9400 (0.9253, 0.9547) 0.9490 (0.9354, 0.9626) 0.9430 (0.9286, 0.9574) #>  #> Power of 5% level test: #>                       CC                 MI_LOGT                    MI_T #>  0.9460 (0.9320, 0.9600) 0.9690 (0.9583, 0.9797) 0.9630 (0.9513, 0.9747)  # Printing values only: print(xs, mcse = NULL) #> Values are: #> \tPoint Estimate #>  #> Non-missing point estimates/standard errors: #>    CC MI_LOGT MI_T #>  1000    1000 1000 #>  #> Average point estimate: #>      CC MI_LOGT   MI_T #>  0.5168  0.5009 0.4988 #>  #> Median point estimate: #>      CC MI_LOGT   MI_T #>  0.5070  0.4969 0.4939 #>  #> Average variance: #>      CC MI_LOGT   MI_T #>  0.0216  0.0182 0.0179 #>  #> Median variance: #>      CC MI_LOGT   MI_T #>  0.0211  0.0172 0.0169 #>  #> Bias in point estimate: #>      CC MI_LOGT    MI_T #>  0.0168  0.0009 -0.0012 #>  #> Relative bias in point estimate: #>      CC MI_LOGT    MI_T #>  0.0335  0.0018 -0.0024 #>  #> Empirical standard error: #>      CC MI_LOGT   MI_T #>  0.1511  0.1320 0.1344 #>  #> % gain in precision relative to method CC: #>      CC MI_LOGT    MI_T #>  0.0000 31.0463 26.3682 #>  #> Mean squared error: #>      CC MI_LOGT   MI_T #>  0.0231  0.0174 0.0181 #>  #> Model-based standard error: #>      CC MI_LOGT   MI_T #>  0.1471  0.1349 0.1338 #>  #> Relative % error in standard error: #>       CC MI_LOGT    MI_T #>  -2.6594  2.2233 -0.4412 #>  #> Coverage of nominal 95% confidence interval: #>      CC MI_LOGT   MI_T #>  0.9430  0.9490 0.9430 #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>      CC MI_LOGT   MI_T #>  0.9400  0.9490 0.9430 #>  #> Power of 5% level test: #>      CC MI_LOGT   MI_T #>  0.9460  0.9690 0.9630"},{"path":"https://ellessenne.github.io/rsimsum/reference/reexports.html","id":null,"dir":"Reference","previous_headings":"","what":"Objects exported from other packages — reexports","title":"Objects exported from other packages — reexports","text":"objects imported packages. Follow links see documentation. generics tidy","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/relhaz.html","id":null,"dir":"Reference","previous_headings":"","what":"Example of a simulation study on survival modelling — relhaz","title":"Example of a simulation study on survival modelling — relhaz","text":"dataset simulation study assessing impact misspecifying baseline hazard survival models regression coefficients. One thousand datasets simulated, containing binary treatment variable log-hazard ratio -0.50. Survival data simulated two different sample sizes, 50 250 individuals, two different baseline hazard functions, exponential Weibull. Consequently, Cox model (Cox, 1972), fully parametric exponential model, Royston-Parmar (Royston Parmar, 2002) model two degrees freedom fit simulated dataset. See vignette(\"B-relhaz\", package = \"rsimsum\") information.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/relhaz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Example of a simulation study on survival modelling — relhaz","text":"","code":"relhaz"},{"path":"https://ellessenne.github.io/rsimsum/reference/relhaz.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Example of a simulation study on survival modelling — relhaz","text":"data frame 1,200 rows 6 variables: dataset Simulated dataset number. n Sample size simulate dataset. baseline Baseline hazard function simulated dataset. model Method used (Cox, Exp, RP(2)). theta Point estimate log-hazard ratio. se Standard error point estimate.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/relhaz.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Example of a simulation study on survival modelling — relhaz","text":"Cox D.R. 1972. Regression models life-tables. Journal Royal Statistical Society, Series B (Methodological) 34(2):187-220. doi:10.1007/978-1-4612-4380-9_37 Royston, P. Parmar, M.K. 2002. Flexible parametric proportional-hazards proportional-odds models censored survival data, application prognostic modelling estimation treatment effects. Statistics Medicine 21(15):2175-2197 doi:10.1002/sim.1203","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/relhaz.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Example of a simulation study on survival modelling — relhaz","text":"","code":"data(\"relhaz\", package = \"rsimsum\")"},{"path":"https://ellessenne.github.io/rsimsum/reference/rsimsum.html","id":null,"dir":"Reference","previous_headings":"","what":"Analysis of Simulation Studies Including Monte Carlo Error — rsimsum","title":"Analysis of Simulation Studies Including Monte Carlo Error — rsimsum","text":"Summarise results simulation studies compute Monte Carlo standard errors commonly used summary statistics. package modelled 'simsum' user-written command 'Stata' (See White .R., 2010 https://www.stata-journal.com/article.html?article=st0200).","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/rsimsum.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Analysis of Simulation Studies Including Monte Carlo Error — rsimsum","text":"Alessandro Gasparini (alessandro.gasparini@ki.se)","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/simsum.html","id":null,"dir":"Reference","previous_headings":"","what":"Analyses of simulation studies including Monte Carlo error — simsum","title":"Analyses of simulation studies including Monte Carlo error — simsum","text":"simsum() computes performance measures simulation studies simulated data set yields point estimates one analysis methods. Bias, relative bias, empirical standard error precision relative reference method can computed method. , addition, model-based standard errors available simsum() can compute average model-based standard error, relative error model-based standard error, coverage nominal confidence intervals, coverage assumption bias (bias-eliminated coverage), power reject null hypothesis. Monte Carlo errors available estimated quantities.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/simsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Analyses of simulation studies including Monte Carlo error — simsum","text":"","code":"simsum(   data,   estvarname,   se = NULL,   true = NULL,   methodvar = NULL,   ref = NULL,   by = NULL,   ci.limits = NULL,   df = NULL,   dropbig = FALSE,   x = FALSE,   control = list() )"},{"path":"https://ellessenne.github.io/rsimsum/reference/simsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Analyses of simulation studies including Monte Carlo error — simsum","text":"data data.frame variable names interpreted. tidy format, e.g. variable forms column observation forms row. estvarname name variable containing point estimates. se name variable containing standard errors point estimates. true true value parameter; used calculations bias, relative bias, coverage, mean squared error required whenever performance measures requested. true can numeric value string identifies column data. former setting, simsum assume value replications; conversely, replication use distinct value true identified row data. See vignette(\"E-custom-inputs\", package = \"rsimsum\") details. methodvar name variable containing methods compare. instance, methods models compared within simulation study. Can NULL. vector column names passed simsum(), columns combined single column named :methodvar using base::interaction() function computing performance measures. ref Specifies reference method relative precision calculated. useful methodvar specified. vector variable names compute performance measures list factors. Factors listed (potentially several) data-generating mechanisms used simulate data different scenarios (e.g. sample size, true distribution variable, etc.). Can NULL. ci.limits Can used specify limits (lower upper) confidence intervals used calculate coverage bias-eliminated coverage. Useful non-Wald type estimators (e.g. bootstrap). Defaults NULL, Wald-type confidence intervals based provided SEs calculated coverage; otherwise, can numeric vector (fixed confidence intervals) vector strings identify columns data replication-specific lower upper limits. See vignette(\"E-custom-inputs\", package = \"rsimsum\") details. df Can used specify column containing replication-specific number degrees freedom used calculate confidence intervals coverage (bias-eliminated coverage) assuming t-distributed critical values (rather normal theory intervals). See vignette(\"E-custom-inputs\", package = \"rsimsum\") details. dropbig Specifies point estimates standard errors beyond maximum acceptable values dropped. Defaults FALSE. x Set TRUE include data argument used calculate summary statistics (.e. pre-processing input dataset e.g. removing values deemed large via dropbig argument) slot. Calling simsum x = TRUE required produce zipper plots. downside size returned object increases considerably, therefore set FALSE default. control list parameters control behaviour simsum. Possible values : mcse, whether calculate Monte Carlo standard errors. Defaults TRUE; level, significance level used coverage, bias-eliminated coverage, power. Defaults 0.95; power_df, whether use robust critical values t distribution power_df degrees freedom calculating power. Defaults NULL, case Gaussian distribution used; na.rm, whether remove point estimates standard errors either () missing. Defaults TRUE; char.sep, character utilised splitting input dataset data. Generally, changed; dropbig.max, specifies maximum acceptable absolute value point estimates, standardisation. Defaults 10; dropbig.semax, specifies maximum acceptable absolute value standard error, standardisation. Defaults 100 dropbig.robust, specifies whether use robust standardisation (using median inter-quartile range) rather normal standardisation (using mean standard deviation). Defaults TRUE, case robust standardisation used dropbig.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/simsum.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Analyses of simulation studies including Monte Carlo error — simsum","text":"object class simsum.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/simsum.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Analyses of simulation studies including Monte Carlo error — simsum","text":"following names allowed estvarname, se, methodvar, : stat, est, mcse, lower, upper, :methodvar.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/simsum.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Analyses of simulation studies including Monte Carlo error — simsum","text":"White, .R. 2010. simsum: Analyses simulation studies including Monte Carlo error. Stata Journal 10(3): 369-385. https://www.stata-journal.com/article.html?article=st0200 Morris, T.P., White, .R. Crowther, M.J. 2019. Using simulation studies evaluate statistical methods. Statistics Medicine, doi:10.1002/sim.8086 Gasparini, . 2018. rsimsum: Summarise results Monte Carlo simulation studies. Journal Open Source Software 3(26):739, doi:10.21105/joss.00739","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/simsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Analyses of simulation studies including Monte Carlo error — simsum","text":"","code":"data(\"MIsim\", package = \"rsimsum\") s <- simsum(data = MIsim, estvarname = \"b\", true = 0.5, se = \"se\", methodvar = \"method\", ref = \"CC\") # If 'ref' is not specified, the reference method is inferred s <- simsum(data = MIsim, estvarname = \"b\", true = 0.5, se = \"se\", methodvar = \"method\") #> 'ref' method was not specified, CC set as the reference"},{"path":"https://ellessenne.github.io/rsimsum/reference/summary.multisimsum.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarising multisimsum objects — summary.multisimsum","title":"Summarising multisimsum objects — summary.multisimsum","text":"summary() method objects class multisimsum returns confidence intervals performance measures based Monte Carlo standard errors.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/summary.multisimsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarising multisimsum objects — summary.multisimsum","text":"","code":"# S3 method for multisimsum summary(object, ci_level = 0.95, df = NULL, stats = NULL, ...)"},{"path":"https://ellessenne.github.io/rsimsum/reference/summary.multisimsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarising multisimsum objects — summary.multisimsum","text":"object object class multisimsum. ci_level Significance level confidence intervals based Monte Carlo standard errors. Ignored multisimsum object control parameter mcse = FALSE passed. df Degrees freedom t distribution used calculate confidence intervals based Monte Carlo standard errors. NULL (default), quantiles Normal distribution used instead. stats Summary statistics include; can scalar value vector (multiple summary statistics ). Possible choices : nsim, number replications non-missing point estimates standard error. thetamean, average point estimate. thetamedian, median point estimate. se2mean, average standard error. se2median, median standard error. bias, bias point estimate. rbias, relative (true value) bias point estimate. empse, empirical standard error. mse, mean squared error. relprec, percentage gain precision relative reference method. modelse, model-based standard error. relerror, relative percentage error standard error. cover, coverage nominal level\\ becover, bias corrected coverage nominal level\\ power, power (1 - level)\\ Defaults NULL, case possible summary statistics included. ... Ignored.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/summary.multisimsum.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarising multisimsum objects — summary.multisimsum","text":"object class summary.multisimsum.","code":""},{"path":[]},{"path":"https://ellessenne.github.io/rsimsum/reference/summary.multisimsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarising multisimsum objects — summary.multisimsum","text":"","code":"data(frailty) ms <- multisimsum(   data = frailty, par = \"par\", true = c(     trt = -0.50,     fv = 0.75   ), estvarname = \"b\", se = \"se\", methodvar = \"model\",   by = \"fv_dist\" ) #> 'ref' method was not specified, Cox, Gamma set as the reference sms <- summary(ms) sms #> Values are: #> \tPoint Estimate (Monte Carlo Standard Error) #>  #>     #> Parameter: fv  #>  #> Non-missing point estimates/standard errors: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma        976            1000          971              1000 #>  Log-Normal        957            1000          997              1000 #>  #> Average point estimate: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma     0.7376          0.9799       0.7321            0.9847 #>  Log-Normal     0.6436          0.7325       0.6434            0.7348 #>  #> Median point estimate: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma     0.7271          0.9566       0.7225            0.9597 #>  Log-Normal     0.6365          0.7182       0.6324            0.7199 #>  #> Average variance: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma     0.0203          0.0600       0.0202            0.0498 #>  Log-Normal     0.0156          0.0230       0.0158            0.0254 #>  #> Median variance: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma     0.0193          0.0483       0.0191            0.0442 #>  Log-Normal     0.0149          0.0206       0.0149            0.0235 #>  #> Bias in point estimate: #>     fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma #>       Gamma -0.0124 (0.0045)  0.2299 (0.0076) -0.0179 (0.0044) #>  Log-Normal -0.1064 (0.0043) -0.0175 (0.0049) -0.1066 (0.0041) #>  RP(P), Log-Normal #>    0.2347 (0.0077) #>   -0.0152 (0.0050) #>  #> Relative bias in point estimate: #>     fv_dist   Cox, Gamma  Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma -0.0165 (NA)  0.3066 (0.0101) -0.0239 (NA)   0.3130 (0.0103) #>  Log-Normal -0.1419 (NA) -0.0233 (0.0066) -0.1421 (NA)  -0.0203 (0.0066) #>  #> Empirical standard error: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.1421 (0.0032) 0.2406 (0.0054) 0.1387 (0.0031)   0.2438 (0.0055) #>  Log-Normal 0.1320 (0.0030) 0.1554 (0.0035) 0.1307 (0.0029)   0.1570 (0.0035) #>  #> % gain in precision relative to method Cox, Gamma: #>     fv_dist      Cox, Gamma   Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.0000 (0.0000) -65.1290 (0.6149) 5.0048 (0.0507) -66.0342 (0.5911) #>  Log-Normal 0.0000 (0.0000) -27.8283 (1.5037) 2.0492 (0.0466) -29.3058 (1.4591) #>  #> Mean squared error: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.0203 (0.0010) 0.1107 (0.0055) 0.0195 (0.0009)   0.1145 (0.0057) #>  Log-Normal 0.0287 (0.0010) 0.0244 (0.0011) 0.0284 (0.0010)   0.0248 (0.0012) #>  #> Model-based standard error: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.1426 (0.0008) 0.2449 (0.0027) 0.1420 (0.0008)   0.2232 (0.0019) #>  Log-Normal 0.1249 (0.0008) 0.1517 (0.0013) 0.1258 (0.0007)   0.1594 (0.0011) #>  #> Relative % error in standard error: #>     fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma #>       Gamma  0.3574 (2.3463)  1.7896 (2.5449)  2.3922 (2.3950) #>  Log-Normal -5.3912 (2.2452) -2.3382 (2.3301) -3.7112 (2.2300) #>  RP(P), Log-Normal #>   -8.4531 (2.1890) #>    1.5422 (2.3713) #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.9201 (0.0087) 0.9220 (0.0085) 0.9300 (0.0082)   0.9030 (0.0094) #>  Log-Normal 0.7503 (0.0140) 0.9020 (0.0094) 0.7683 (0.0134)   0.9280 (0.0082) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.9334 (0.0080) 0.8980 (0.0096) 0.9434 (0.0074)   0.8930 (0.0098) #>  Log-Normal 0.9164 (0.0089) 0.9130 (0.0089) 0.9308 (0.0080)   0.9360 (0.0077) #>  #> Power of 5% level test: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 1.0000 (0.0000) 1.0000 (0.0000) 1.0000 (0.0000)   1.0000 (0.0000) #>  Log-Normal 1.0000 (0.0000) 1.0000 (0.0000) 1.0000 (0.0000)   1.0000 (0.0000) #>  #>  --------------------------------------------------------------------------------  #>   #> Parameter: trt  #>  #> Non-missing point estimates/standard errors: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma       1000            1000          971              1000 #>  Log-Normal       1000            1000          997              1000 #>  #> Average point estimate: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma    -0.5006         -0.5013      -0.5003           -0.5015 #>  Log-Normal    -0.5006         -0.5014      -0.5006           -0.5016 #>  #> Median point estimate: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma    -0.5011         -0.5021      -0.5010           -0.5025 #>  Log-Normal    -0.5014         -0.5021      -0.5014           -0.5022 #>  #> Average variance: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma     0.0026          0.0026       0.0026            0.0026 #>  Log-Normal     0.0023          0.0023       0.0023            0.0023 #>  #> Median variance: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma     0.0026          0.0026       0.0026            0.0026 #>  Log-Normal     0.0022          0.0022       0.0022            0.0022 #>  #> Bias in point estimate: #>     fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma #>       Gamma -0.0006 (0.0016) -0.0013 (0.0016) -0.0003 (0.0016) #>  Log-Normal -0.0006 (0.0015) -0.0014 (0.0015) -0.0006 (0.0015) #>  RP(P), Log-Normal #>   -0.0015 (0.0016) #>   -0.0016 (0.0015) #>  #> Relative bias in point estimate: #>     fv_dist      Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.0011 (0.0032) 0.0027 (0.0032)  0.0006 (NA)   0.0031 (0.0032) #>  Log-Normal 0.0012 (0.0030) 0.0028 (0.0030)  0.0013 (NA)   0.0032 (0.0030) #>  #> Empirical standard error: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.0508 (0.0011) 0.0509 (0.0011) 0.0506 (0.0011)   0.0509 (0.0011) #>  Log-Normal 0.0474 (0.0011) 0.0474 (0.0011) 0.0473 (0.0011)   0.0474 (0.0011) #>  #> % gain in precision relative to method Cox, Gamma: #>     fv_dist      Cox, Gamma  Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.0000 (0.0000) -0.4457 (0.1133) 0.4394 (0.0845)  -0.5782 (0.1641) #>  Log-Normal 0.0000 (0.0000) -0.1417 (0.1367) 0.0918 (0.0853)  -0.2078 (0.1589) #>  #> Mean squared error: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.0026 (0.0001) 0.0026 (0.0001) 0.0026 (0.0001)   0.0026 (0.0001) #>  Log-Normal 0.0022 (0.0001) 0.0022 (0.0001) 0.0022 (0.0001)   0.0022 (0.0001) #>  #> Model-based standard error: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.0506 (0.0000) 0.0507 (0.0000) 0.0506 (0.0000)   0.0507 (0.0000) #>  Log-Normal 0.0475 (0.0000) 0.0475 (0.0000) 0.0475 (0.0000)   0.0475 (0.0000) #>  #> Relative % error in standard error: #>     fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma #>       Gamma -0.2017 (2.2346) -0.3890 (2.2304) -0.0544 (2.2710) #>  Log-Normal  0.2507 (2.2438)  0.1815 (2.2423)  0.3319 (2.2490) #>  RP(P), Log-Normal #>   -0.4330 (2.2294) #>    0.2101 (2.2429) #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.9500 (0.0069) 0.9490 (0.0070) 0.9506 (0.0070)   0.9500 (0.0069) #>  Log-Normal 0.9410 (0.0075) 0.9420 (0.0074) 0.9428 (0.0074)   0.9430 (0.0073) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.9500 (0.0069) 0.9500 (0.0069) 0.9506 (0.0070)   0.9490 (0.0070) #>  Log-Normal 0.9420 (0.0074) 0.9400 (0.0075) 0.9428 (0.0074)   0.9410 (0.0075) #>  #> Power of 5% level test: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 1.0000 (0.0000) 1.0000 (0.0000) 1.0000 (0.0000)   1.0000 (0.0000) #>  Log-Normal 1.0000 (0.0000) 1.0000 (0.0000) 1.0000 (0.0000)   1.0000 (0.0000)"},{"path":"https://ellessenne.github.io/rsimsum/reference/summary.simsum.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarising simsum objects — summary.simsum","title":"Summarising simsum objects — summary.simsum","text":"summary() method objects class simsum returns confidence intervals performance measures based Monte Carlo standard errors.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/summary.simsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarising simsum objects — summary.simsum","text":"","code":"# S3 method for simsum summary(object, ci_level = 0.95, df = NULL, stats = NULL, ...)"},{"path":"https://ellessenne.github.io/rsimsum/reference/summary.simsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarising simsum objects — summary.simsum","text":"object object class simsum. ci_level Significance level confidence intervals based Monte Carlo standard errors. Ignored simsum object control parameter mcse = FALSE passed. df Degrees freedom t distribution used calculate confidence intervals based Monte Carlo standard errors. NULL (default), quantiles Normal distribution used instead. However, using Z-based t-based confidence intervals valid summary statistics bias coverage. Confidence intervals quantities may appropriate, therefore usage recommended. stats Summary statistics include; can scalar value vector (multiple summary statistics ). Possible choices : nsim, number replications non-missing point estimates standard error. thetamean, average point estimate. thetamedian, median point estimate. se2mean, average variance. se2median, median variance. bias, bias point estimate. rbias, relative (true value) bias point estimate. empse, empirical standard error. mse, mean squared error. relprec, percentage gain precision relative reference method. modelse, model-based standard error. relerror, relative percentage error standard error. cover, coverage nominal level\\ becover, bias corrected coverage nominal level\\ power, power (1 - level)\\ Defaults NULL, case possible summary statistics included. ... Ignored.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/summary.simsum.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarising simsum objects — summary.simsum","text":"object class summary.simsum.","code":""},{"path":[]},{"path":"https://ellessenne.github.io/rsimsum/reference/summary.simsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarising simsum objects — summary.simsum","text":"","code":"data(\"MIsim\") object <- simsum(   data = MIsim, estvarname = \"b\", true = 0.5, se = \"se\",   methodvar = \"method\" ) #> 'ref' method was not specified, CC set as the reference xs <- summary(object) xs #> Values are: #> \tPoint Estimate (Monte Carlo Standard Error) #>  #> Non-missing point estimates/standard errors: #>    CC MI_LOGT MI_T #>  1000    1000 1000 #>  #> Average point estimate: #>      CC MI_LOGT   MI_T #>  0.5168  0.5009 0.4988 #>  #> Median point estimate: #>      CC MI_LOGT   MI_T #>  0.5070  0.4969 0.4939 #>  #> Average variance: #>      CC MI_LOGT   MI_T #>  0.0216  0.0182 0.0179 #>  #> Median variance: #>      CC MI_LOGT   MI_T #>  0.0211  0.0172 0.0169 #>  #> Bias in point estimate: #>               CC         MI_LOGT             MI_T #>  0.0168 (0.0048) 0.0009 (0.0042) -0.0012 (0.0043) #>  #> Relative bias in point estimate: #>               CC         MI_LOGT             MI_T #>  0.0335 (0.0096) 0.0018 (0.0083) -0.0024 (0.0085) #>  #> Empirical standard error: #>               CC         MI_LOGT            MI_T #>  0.1511 (0.0034) 0.1320 (0.0030) 0.1344 (0.0030) #>  #> % gain in precision relative to method CC: #>               CC          MI_LOGT             MI_T #>  0.0000 (0.0000) 31.0463 (3.9375) 26.3682 (3.8424) #>  #> Mean squared error: #>               CC         MI_LOGT            MI_T #>  0.0231 (0.0011) 0.0174 (0.0009) 0.0181 (0.0009) #>  #> Model-based standard error: #>               CC         MI_LOGT            MI_T #>  0.1471 (0.0005) 0.1349 (0.0006) 0.1338 (0.0006) #>  #> Relative % error in standard error: #>                CC         MI_LOGT             MI_T #>  -2.6594 (2.2055) 2.2233 (2.3323) -0.4412 (2.2695) #>  #> Coverage of nominal 95% confidence interval: #>               CC         MI_LOGT            MI_T #>  0.9430 (0.0073) 0.9490 (0.0070) 0.9430 (0.0073) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>               CC         MI_LOGT            MI_T #>  0.9400 (0.0075) 0.9490 (0.0070) 0.9430 (0.0073) #>  #> Power of 5% level test: #>               CC         MI_LOGT            MI_T #>  0.9460 (0.0071) 0.9690 (0.0055) 0.9630 (0.0060)"},{"path":"https://ellessenne.github.io/rsimsum/reference/tidy.html","id":null,"dir":"Reference","previous_headings":"","what":"Turn an object into a tidy dataset — tidy.simsum","title":"Turn an object into a tidy dataset — tidy.simsum","text":"Extract tidy dataset results object class simsum, summary.simsum, multisimsum, summary.multisimsum.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/tidy.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Turn an object into a tidy dataset — tidy.simsum","text":"","code":"# S3 method for simsum tidy(x, stats = NULL, ...)  # S3 method for summary.simsum tidy(x, stats = NULL, ...)  # S3 method for multisimsum tidy(x, stats = NULL, ...)  # S3 method for summary.multisimsum tidy(x, stats = NULL, ...)"},{"path":"https://ellessenne.github.io/rsimsum/reference/tidy.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Turn an object into a tidy dataset — tidy.simsum","text":"x object class simsum. stats Summary statistics include; can scalar value vector. Possible choices : nsim, number replications non-missing point estimates standard error. thetamean, average point estimate. thetamedian, median point estimate. se2mean, average standard error. se2median, median standard error. bias, bias point estimate. rbias, relative (true value) bias point estimate. empse, empirical standard error. mse, mean squared error. relprec, percentage gain precision relative reference method. modelse, model-based standard error. relerror, relative percentage error standard error. cover, coverage nominal level\\ becover, bias-eliminated coverage nominal level\\ power, power (1 - level)\\ Defaults NULL, case summary statistics returned. ... Ignored.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/tidy.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Turn an object into a tidy dataset — tidy.simsum","text":"data.frame containing summary statistics simulation study.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/tidy.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Turn an object into a tidy dataset — tidy.simsum","text":"","code":"data(MIsim) x <- simsum(   data = MIsim, estvarname = \"b\", true = 0.5, se = \"se\",   methodvar = \"method\" ) #> 'ref' method was not specified, CC set as the reference tidy(x) #>           stat           est         mcse  method #> 1         nsim  1.000000e+03           NA      CC #> 2    thetamean  5.167662e-01           NA      CC #> 3  thetamedian  5.069935e-01           NA      CC #> 4      se2mean  2.163731e-02           NA      CC #> 5    se2median  2.114245e-02           NA      CC #> 6         bias  1.676616e-02 0.0047786757      CC #> 7        rbias  3.353232e-02 0.0095573514      CC #> 8        empse  1.511150e-01 0.0033807248      CC #> 9          mse  2.309401e-02 0.0011338389      CC #> 10     relprec  0.000000e+00 0.0000000000      CC #> 11     modelse  1.470963e-01 0.0005274099      CC #> 12    relerror -2.659384e+00 2.2054817330      CC #> 13       cover  9.430000e-01 0.0073315073      CC #> 14     becover  9.400000e-01 0.0075099933      CC #> 15       power  9.460000e-01 0.0071473072      CC #> 16        nsim  1.000000e+03           NA MI_LOGT #> 17   thetamean  5.009231e-01           NA MI_LOGT #> 18 thetamedian  4.969223e-01           NA MI_LOGT #> 19     se2mean  1.820915e-02           NA MI_LOGT #> 20   se2median  1.721574e-02           NA MI_LOGT #> 21        bias  9.230987e-04 0.0041744101 MI_LOGT #> 22       rbias  1.846197e-03 0.0083488201 MI_LOGT #> 23       empse  1.320064e-01 0.0029532306 MI_LOGT #> 24         mse  1.740913e-02 0.0008812805 MI_LOGT #> 25     relprec  3.104634e+01 3.9374726448 MI_LOGT #> 26     modelse  1.349413e-01 0.0006046041 MI_LOGT #> 27    relerror  2.223259e+00 2.3323382138 MI_LOGT #> 28       cover  9.490000e-01 0.0069569390 MI_LOGT #> 29     becover  9.490000e-01 0.0069569390 MI_LOGT #> 30       power  9.690000e-01 0.0054807846 MI_LOGT #> 31        nsim  1.000000e+03           NA    MI_T #> 32   thetamean  4.988092e-01           NA    MI_T #> 33 thetamedian  4.939111e-01           NA    MI_T #> 34     se2mean  1.791169e-02           NA    MI_T #> 35   se2median  1.693191e-02           NA    MI_T #> 36        bias -1.190835e-03 0.0042509767    MI_T #> 37       rbias -2.381670e-03 0.0085019534    MI_T #> 38       empse  1.344277e-01 0.0030073985    MI_T #> 39         mse  1.805415e-02 0.0009112249    MI_T #> 40     relprec  2.636816e+01 3.8423791135    MI_T #> 41     modelse  1.338346e-01 0.0005856362    MI_T #> 42    relerror -4.412233e-01 2.2695215740    MI_T #> 43       cover  9.430000e-01 0.0073315073    MI_T #> 44     becover  9.430000e-01 0.0073315073    MI_T #> 45       power  9.630000e-01 0.0059691708    MI_T  # Extracting only bias and coverage: tidy(x, stats = c(\"bias\", \"cover\")) #>    stat           est        mcse  method #> 1  bias  0.0167661608 0.004778676      CC #> 2 cover  0.9430000000 0.007331507      CC #> 3  bias  0.0009230987 0.004174410 MI_LOGT #> 4 cover  0.9490000000 0.006956939 MI_LOGT #> 5  bias -0.0011908351 0.004250977    MI_T #> 6 cover  0.9430000000 0.007331507    MI_T  xs <- summary(x) tidy(xs) #>           stat           est         mcse  method        lower        upper #> 1         nsim  1.000000e+03           NA      CC           NA           NA #> 2    thetamean  5.167662e-01           NA      CC           NA           NA #> 3  thetamedian  5.069935e-01           NA      CC           NA           NA #> 4      se2mean  2.163731e-02           NA      CC           NA           NA #> 5    se2median  2.114245e-02           NA      CC           NA           NA #> 6         bias  1.676616e-02 0.0047786757      CC  0.007400129  0.026132193 #> 7        rbias  3.353232e-02 0.0095573514      CC  0.014800257  0.052264386 #> 8        empse  1.511150e-01 0.0033807248      CC  0.144488895  0.157741093 #> 9          mse  2.309401e-02 0.0011338389      CC  0.020871727  0.025316293 #> 10     relprec  0.000000e+00 0.0000000000      CC  0.000000000  0.000000000 #> 11     modelse  1.470963e-01 0.0005274099      CC  0.146062561  0.148129970 #> 12    relerror -2.659384e+00 2.2054817330      CC -6.982048962  1.663280569 #> 13       cover  9.430000e-01 0.0073315073      CC  0.928630510  0.957369490 #> 14     becover  9.400000e-01 0.0075099933      CC  0.925280684  0.954719316 #> 15       power  9.460000e-01 0.0071473072      CC  0.931991535  0.960008465 #> 16        nsim  1.000000e+03           NA MI_LOGT           NA           NA #> 17   thetamean  5.009231e-01           NA MI_LOGT           NA           NA #> 18 thetamedian  4.969223e-01           NA MI_LOGT           NA           NA #> 19     se2mean  1.820915e-02           NA MI_LOGT           NA           NA #> 20   se2median  1.721574e-02           NA MI_LOGT           NA           NA #> 21        bias  9.230987e-04 0.0041744101 MI_LOGT -0.007258595  0.009104792 #> 22       rbias  1.846197e-03 0.0083488201 MI_LOGT -0.014517189  0.018209584 #> 23       empse  1.320064e-01 0.0029532306 MI_LOGT  0.126218211  0.137794663 #> 24         mse  1.740913e-02 0.0008812805 MI_LOGT  0.015681848  0.019136404 #> 25     relprec  3.104634e+01 3.9374726448 MI_LOGT 23.329036439 38.763645587 #> 26     modelse  1.349413e-01 0.0006046041 MI_LOGT  0.133756280  0.136126285 #> 27    relerror  2.223259e+00 2.3323382138 MI_LOGT -2.348039558  6.794558240 #> 28       cover  9.490000e-01 0.0069569390 MI_LOGT  0.935364650  0.962635350 #> 29     becover  9.490000e-01 0.0069569390 MI_LOGT  0.935364650  0.962635350 #> 30       power  9.690000e-01 0.0054807846 MI_LOGT  0.958257860  0.979742140 #> 31        nsim  1.000000e+03           NA    MI_T           NA           NA #> 32   thetamean  4.988092e-01           NA    MI_T           NA           NA #> 33 thetamedian  4.939111e-01           NA    MI_T           NA           NA #> 34     se2mean  1.791169e-02           NA    MI_T           NA           NA #> 35   se2median  1.693191e-02           NA    MI_T           NA           NA #> 36        bias -1.190835e-03 0.0042509767    MI_T -0.009522596  0.007140926 #> 37       rbias -2.381670e-03 0.0085019534    MI_T -0.019045193  0.014281852 #> 38       empse  1.344277e-01 0.0030073985    MI_T  0.128533294  0.140322080 #> 39         mse  1.805415e-02 0.0009112249    MI_T  0.016268182  0.019840118 #> 40     relprec  2.636816e+01 3.8423791135    MI_T 18.837236583 33.899085938 #> 41     modelse  1.338346e-01 0.0005856362    MI_T  0.132686735  0.134982387 #> 42    relerror -4.412233e-01 2.2695215740    MI_T -4.889403808  4.006957286 #> 43       cover  9.430000e-01 0.0073315073    MI_T  0.928630510  0.957369490 #> 44     becover  9.430000e-01 0.0073315073    MI_T  0.928630510  0.957369490 #> 45       power  9.630000e-01 0.0059691708    MI_T  0.951300640  0.974699360"},{"path":"https://ellessenne.github.io/rsimsum/reference/tt.html","id":null,"dir":"Reference","previous_headings":"","what":"Example of a simulation study on the t-test — tt","title":"Example of a simulation study on the t-test — tt","text":"dataset simulation study 4 data-generating mechanisms, useful illustrate custom input confidence intervals calculate coverage probability. simulation study aims compare t-test assuming pooled unpooled variance violation () t-test assumptions: normality data, equality () variance groups. true value difference groups -1.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/tt.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Example of a simulation study on the t-test — tt","text":"","code":"tt"},{"path":"https://ellessenne.github.io/rsimsum/reference/tt.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Example of a simulation study on the t-test — tt","text":"data frame 4,000 rows 8 variables: diff difference mean groups estimated t-test; se Standard error estimated difference; lower, upper Confidence interval difference mean reported t-test; df number degrees freedom assumed t-test; repno Identifies replication, 1 500; dgm Identifies data-generating mechanism: 1 corresponds normal data equal variance groups, 2 normal data unequal variance, 3 4 skewed data (simulated Gamma distribution) equal unequal variance groups, respectively; method Analysis method: 1 represents t-test pooled variance, 2 represents t-test unpooled variance.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/tt.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Example of a simulation study on the t-test — tt","text":"details simulation study can found R script used generate dataset, available GitHub: https://github.com/ellessenne/rsimsum/blob/master/data-raw/tt-data.R","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/tt.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Example of a simulation study on the t-test — tt","text":"","code":"data(\"tt\", package = \"rsimsum\")"},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-development-version","dir":"Changelog","previous_headings":"","what":"rsimsum (development version)","title":"rsimsum (development version)","text":"Fixed issues nested loop plot simulation design fully-factorial (#47, thanks @mikesweeting).","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-0120","dir":"Changelog","previous_headings":"","what":"rsimsum 0.12.0","title":"rsimsum 0.12.0","text":"new performance measure, relative bias, can now calculated along Monte Carlo error (#41). details formulae introductory vignette, updated accordingly. Fixed issues stat(level), deprecated {ggplot2} 3.4.0 (#44). Fixed error calculation Monte Carlo standard error relative % error ModSE (#45, thanks @LaurenSamuels reporting ). Several improvements package documentation.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-0113","dir":"Changelog","previous_headings":"","what":"rsimsum 0.11.3","title":"rsimsum 0.11.3","text":"CRAN release: 2022-08-17 minor release, following changes: Updated hex sticker. Updated maintainer e-mail.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-0112","dir":"Changelog","previous_headings":"","what":"rsimsum 0.11.2","title":"rsimsum 0.11.2","text":"CRAN release: 2022-03-22","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-11-2","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.11.2","text":"Fixed issues overlapping/missing intervals zip plots (#40, thanks @ge-li reporting ).","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-0111","dir":"Changelog","previous_headings":"","what":"rsimsum 0.11.1","title":"rsimsum 0.11.1","text":"CRAN release: 2022-01-04","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-11-1","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.11.1","text":"Fixed conflicts tidy() function {broom} package {broom} {rsimsum} loaded time. lead error kind: Thanks Theodosia Salika reporting . {pkgdown} website documentation updated use Bootstrap 5 ({pkgdown} ≥ 2.0.0). new site can found : https://ellessenne.github.io/rsimsum/ Updated DOI returning HTTP Error 503.","code":"#> Error: No tidy method recognized for this list."},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-0110","dir":"Changelog","previous_headings":"","what":"rsimsum 0.11.0","title":"rsimsum 0.11.0","text":"CRAN release: 2021-10-20","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"new-features-0-11-0","dir":"Changelog","previous_headings":"","what":"New features:","title":"rsimsum 0.11.0","text":"print.summary.simsum() now return (invisibly) list section output, e.g. performance measure. useful printing small sections output, e.g. using kable() (thanks @ge-li, see discussion #22): implemented print.summary.multisimsum() well, additional level nesting (parameter).","code":"library(rsimsum) s2 <- simsum(data = relhaz, estvarname = \"theta\", true = -0.50, se = \"se\", methodvar = \"model\", by = c(\"baseline\", \"n\")) out <- print(summary(s2, stats = \"bias\")) library(knitr) kable(out[[1]], caption = names(out)[1], align = \"r\")"},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bux-fixes-0-11-0","dir":"Changelog","previous_headings":"","what":"Bux fixes:","title":"rsimsum 0.11.0","text":"Fixed broken links vignettes (introduced bunch time ago renaming .Rmd files), thanks @remlapmot reporting (#36).","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-0101","dir":"Changelog","previous_headings":"","what":"rsimsum 0.10.1","title":"rsimsum 0.10.1","text":"CRAN release: 2021-07-05","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-10-1","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.10.1","text":"Even power_df passed control argument, used (regression introduced {rsimsum} 0.9.0). Now fixed, thanks @Kaladani (#33).","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-0100","dir":"Changelog","previous_headings":"","what":"rsimsum 0.10.0","title":"rsimsum 0.10.0","text":"CRAN release: 2021-05-21","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"breaking-changes-0-10-0","dir":"Changelog","previous_headings":"","what":"Breaking changes:","title":"rsimsum 0.10.0","text":"get_data() now deprecated favour tidy(); get_data() still works (fully tested), now throws warning fully removed time future.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"new-features-0-10-0","dir":"Changelog","previous_headings":"","what":"New features:","title":"rsimsum 0.10.0","text":"simsum() multisimsum() now accept multiple column inputs identify unique methods (see e.g. #24, #30). Internally, combines unique values column factorially using interaction() function; , methods analysed reported . See vignette(\"E-custom-inputs\", package = \"rsimsum\") examples. Two new datasets, MIsim2 frailty2, now bundled rsimsum test new functionality introduced . correspond MIsim frailty, respectively, difference (single) column identifying methods now split two distinct columns.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-091","dir":"Changelog","previous_headings":"","what":"rsimsum 0.9.1","title":"rsimsum 0.9.1","text":"CRAN release: 2020-09-03","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-9-1","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.9.1","text":"Improved printing simulation studies ‘non-standard’ way passing true values (see e.g. #28 GitHub); Fixed typo introductory vignette; internal housekeeping.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-090","dir":"Changelog","previous_headings":"","what":"rsimsum 0.9.0","title":"rsimsum 0.9.0","text":"CRAN release: 2020-04-15","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"breaking-changes-0-9-0","dir":"Changelog","previous_headings":"","what":"Breaking changes:","title":"rsimsum 0.9.0","text":"control argument df renamed power_df, now affects power calculations .","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"new-features-0-9-0","dir":"Changelog","previous_headings":"","what":"New features:","title":"rsimsum 0.9.0","text":"New df argument, simsum multisimum now accept column data containing number degrees freedom used calculate confidence intervals coverage (bias-eliminated coverage) t critical values (instead normal-theory intervals, default behaviour). Notably, zip plots behave accordingly calculating ranking confidence intervals; Calculations zip plots noticeably faster now; Added simple kable method objects class simsum, summary.simsum, multisimsum, summary.multisimsum ease creation LaTeX/HTML/Markdown/reStructuredText tables.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-9-0","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.9.0","text":"Fixed bug prevented zip plots factors plotted.","code":""},{"path":[]},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"changes-to-default-behaviour-0-8-1","dir":"Changelog","previous_headings":"","what":"Changes to default behaviour:","title":"rsimsum 0.8.1","text":"autoplot methods now plot number non-missing point estimates/SEs default (stat argument set user). previous default plot bias, might always available anymore since rsimsum 0.8.0.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"improvements-0-8-1","dir":"Changelog","previous_headings":"","what":"Improvements:","title":"rsimsum 0.8.1","text":"Handling plotting edge cases, instance standard errors true values available; Improved multisimsum example vignette custom inputs.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-8-1","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.8.1","text":"Fixed typo vignette formulae (#25, thanks @samperochkin).","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-080","dir":"Changelog","previous_headings":"","what":"rsimsum 0.8.0","title":"rsimsum 0.8.0","text":"CRAN release: 2020-02-29","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"improvements-0-8-0","dir":"Changelog","previous_headings":"","what":"Improvements:","title":"rsimsum 0.8.0","text":"Added new argument zoom autoplot methods: now possible zoom top x% zip plot improve readability; Added new example dataset toy simulation study assessing robustness t-test. See ?\"tt\" details; true argument rsimsum multisimsum now accepts string identifies column data. especially useful settings true value varies across replications, e.g. depends characteristics simulated data. See vignette(\"E-custom-inputs\", package = \"rsimsum\") details examples; Analogously, ci.limits argument now accepts vector strings identifies lower upper limits custom-defined confidence intervals columns data. , details included vignette(\"E-custom-inputs\", package = \"rsimsum\"); rsimsum now correctly uses inherits(obj, \"someclass\") instead class(obj) == \"someclass\" (#20); Fixed bugs errors appeared auto-plotting results simulation studies methods compared (#23).","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-071","dir":"Changelog","previous_headings":"","what":"rsimsum 0.7.1","title":"rsimsum 0.7.1","text":"autoplot supports two new visualisations: contour plots hexbin plots, either point estimates standard errors. can obtained selecting argument type = \"est_density\", type = \"se_density\", type = \"est_hex\", type = \"se_hex\".","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-070","dir":"Changelog","previous_headings":"","what":"rsimsum 0.7.0","title":"rsimsum 0.7.0","text":"CRAN release: 2019-11-12","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"improvements-0-7-0","dir":"Changelog","previous_headings":"","what":"Improvements:","title":"rsimsum 0.7.0","text":"Passing true value estimand (true argument) longer required; true passed simsum multisimsum, bias, coverage, mean squared error computed; Passing estimated standard errors per replication (se argument) longer required; , average median variances, model-based standard errors, relative error, coverage probability, bias-eliminated coverage probability, power computed.","code":""},{"path":[]},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-6-2","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.6.2","text":"Fixed bug introduced rsimsum 0.6.1 (average median variances printed).","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-061","dir":"Changelog","previous_headings":"","what":"rsimsum 0.6.1","title":"rsimsum 0.6.1","text":"CRAN release: 2019-09-12","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-6-1","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.6.1","text":"Fixed labelling bug zipper plots (thanks @syriop-elisa reporting ); Clarified simsum multisimsum report average (median) estimated variances, standard errors (thanks Ian R. White reporting ).","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-060","dir":"Changelog","previous_headings":"","what":"rsimsum 0.6.0","title":"rsimsum 0.6.0","text":"CRAN release: 2019-07-15","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"improvements-0-6-0","dir":"Changelog","previous_headings":"","what":"Improvements:","title":"rsimsum 0.6.0","text":"Implemented fully automated nested loop plots simulation studies several data-generating mechanisms: autoplot(object, type = \"nlp\"); Added data(\"nlp\", package = \"rsimsum\"), dataset simulation study 150 data-generating. particularly useful illustrate nested loop plots; Added new vignette nested loop plots; Improved ordering vignettes.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-6-0","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.6.0","text":"Updated unquoting compatibility rlang 0.4.0; Fixed missing details options documentation autoplot.multisimsum autoplot.summary.multisimsum.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-052","dir":"Changelog","previous_headings":"","what":"rsimsum 0.5.2","title":"rsimsum 0.5.2","text":"CRAN release: 2019-04-25","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-5-2","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.5.2","text":"Fixed labelling facetting plot types, now defaults ggplot2::label_both ‘’ factors (included).","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-051","dir":"Changelog","previous_headings":"","what":"rsimsum 0.5.1","title":"rsimsum 0.5.1","text":"CRAN release: 2019-03-15","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-5-1","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.5.1","text":"Fixed calculations “Relative % increase precision” (thanks Ian R. White reporting ).","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-050","dir":"Changelog","previous_headings":"","what":"rsimsum 0.5.0","title":"rsimsum 0.5.0","text":"CRAN release: 2019-02-21","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"improvements-0-5-0","dir":"Changelog","previous_headings":"","what":"Improvements:","title":"rsimsum 0.5.0","text":"Implemented autoplot method multisimsum summary.multisimsum objects; Implemented heat plot types simsum multisimsum objects; autoplot methods pick value true passed simsum, multisimsum inferring target value stats = (thetamean, thetamedian) target = NULL. plain English, true value estimand picked target value plotting mean (median) estimated value; Updated vignettes references; Updated pkgdown website, published https://ellessenne.github.io/rsimsum/; Improved code coverage.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-5-0","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.5.0","text":"Fixed bug autoplot caused premature slicing arguments, arguments included.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-042","dir":"Changelog","previous_headings":"","what":"rsimsum 0.4.2","title":"rsimsum 0.4.2","text":"Implemented autoplot method simsum summary.simsum objects; calling autoplot summary.simsum objects, confidence intervals based Monte Carlo standard errors included well (sensible). Supported plot types : forest plot estimated summary statistics; lolly plot summary statistics; zip plot coverage probability; scatter plot methods-wise comparison (e.g. X vs Y) point estimates standard errors, per replication; , implemented Bland-Altman type plot; ridgeline plot estimates, standard errors compare distribution estimates, standard errors method. Several options customise behaviour autoplot, see ?autoplot.simsum ?autoplot.summary.simsum details.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-041","dir":"Changelog","previous_headings":"","what":"rsimsum 0.4.1","title":"rsimsum 0.4.1","text":"Fixed bug dropbig related internal function returning standardised values instead actual observed values.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-040","dir":"Changelog","previous_headings":"","what":"rsimsum 0.4.0","title":"rsimsum 0.4.0","text":"rsimsum 0.4.0 large refactoring rsimsum. several improvements breaking changes, outlined .","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"improvements-0-4-0","dir":"Changelog","previous_headings":"","what":"Improvements","title":"rsimsum 0.4.0","text":"rsimsum robust using factor variables (e.g. methodvar factor), ordering preserved defined dataset passed simsum (multisimsum); Confidence intervals based Monte Carlo standard errors can now computed using quantiles t distribution; see help(summary.simsum) details; Added comparison results Stata’s simsum testing purposes - differences negligible, calculations simsum wrong (already reported). differences can attributed calculations (conversions, comparison) different scales.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"breaking-changes-0-4-0","dir":"Changelog","previous_headings":"","what":"Breaking changes","title":"rsimsum 0.4.0","text":"syntax simsum multisimsum slightly changed, arguments removed others moved control list several tuning parameters. Please check updated examples details; dropbig longer S3 method simsum multisimsum objects. Now, dropbig exported function can used identify rows input data.frame dropped simsum (multisimsum); Point estimates standard errors dropped simsum (multisimsum) dropbig = TRUE) longer included returned object; therefore, S3 method miss removed; get_data longer S3 method, still requires object class simsum, summary.simsum, multisimsum, summary.multisimsum passed input; plotting methods removed preparation complete overhaul planned rsimsum 0.5.0.","code":""},{"path":[]},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"breaking-changes-0-3-5","dir":"Changelog","previous_headings":"","what":"Breaking changes","title":"rsimsum 0.3.5","text":"zip method renamed zipper() avoid name collision utils::zip().","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-034","dir":"Changelog","previous_headings":"","what":"rsimsum 0.3.4","title":"rsimsum 0.3.4","text":"Added ability define custom confidence interval limits calculating coverage via ci.limits argument (#6, @MvanSmeden). functionality considered experimental, hence feedback much appreciated; Updated Simulating simulation study vignette therefore relhaz dataset bundled rsimsum.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-033","dir":"Changelog","previous_headings":"","what":"rsimsum 0.3.3","title":"rsimsum 0.3.3","text":"CRAN release: 2018-06-20 rsimsum 0.3.3 focuses improving documentation package. Improvements: * Improved printing confidence intervals summary statistics based Monte Carlo standard errors; * Added description argument get_data method, append column description summary statistics exported; defaults FALSE; * Improved documentation introductory vignette clarify several points (#3, @lebebr01); * Improved plotting vignette document customise plots (#4, @lebebr01). New: * Added CITATION file references paper JOSS.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-032","dir":"Changelog","previous_headings":"","what":"rsimsum 0.3.2","title":"rsimsum 0.3.2","text":"rsimsum 0.3.2 small maintenance release: * Merged pull request #1 @mllg adapting new version checkmate package; * Fixed bug automatic labels bar() forest() selected properly.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-031","dir":"Changelog","previous_headings":"","what":"rsimsum 0.3.1","title":"rsimsum 0.3.1","text":"CRAN release: 2018-04-04 Bug fixes: * bar(), forest(), lolly(), heat() now appropriately pick discrete X (Y) axis scale methods (defined) method variable numeric; * simsum() multisimsum() coerce methodvar variable string format (specified already string); * fixed typos empirical standard errors documentation . Updated code conduct (CONDUCT.md) contributing guidelines (CONTRIBUTING.md). Removed dependency tidyverse package (thanks Mara Averick).","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-030","dir":"Changelog","previous_headings":"","what":"rsimsum 0.3.0","title":"rsimsum 0.3.0","text":"CRAN release: 2018-02-22 Bug fixes: * pattern() now appropriately pick discrete colour scale methods (defined) method variable numeric. New plots supported: * forest(), forest plots; * bar(), bar plots. Changes existing functionality: * par argument lolly.multisimsum now required; provided, plots faceted estimand (well factor); * updated Visualising results rsimsum vignette. Added CONTRIBUTING.md CONDUCT.md.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-020","dir":"Changelog","previous_headings":"","what":"rsimsum 0.2.0","title":"rsimsum 0.2.0","text":"CRAN release: 2018-02-15 Internal housekeeping. Added S3 methods simsum multisimsum objects visualise results: * lolly(), lolly plots; * zip(), zip plots; * heat(), heat plots; * pattern(), scatter plots estimates vs SEs. Added new vignette Visualising results rsimsum introduce -mentioned plots. Added x argument simsum multisimsum include original dataset slot returned object. Added miss function obtaining basic information missingness simulation results. miss methods print get_data.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-010","dir":"Changelog","previous_headings":"","what":"rsimsum 0.1.0","title":"rsimsum 0.1.0","text":"CRAN release: 2018-02-05 First submission CRAN. rsimsum can handle: simulation studies single estimand simulation studies multiple estimands simulation studies multiple methods compare simulation studies multiple data-generating mechanisms (e.g. ‘’ factors) Summary statistics can computed : bias, empirical standard error, mean squared error, percentage gain precision relative reference method, model-based standard error, coverage, bias-corrected coverage, power. Monte Carlo standard errors summary statistic can computed well.","code":""}]
+[{"path":[]},{"path":"https://ellessenne.github.io/rsimsum/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"interest fostering open welcoming environment, contributors maintainers pledge making participation project community harassment-free experience everyone, regardless age, body size, disability, ethnicity, sex characteristics, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, religion, sexual identity orientation.","code":""},{"path":"https://ellessenne.github.io/rsimsum/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes creating positive environment include: Using welcoming inclusive language respectful differing viewpoints experiences Gracefully accepting constructive criticism Focusing best community Showing empathy towards community members Examples unacceptable behavior participants include: use sexualized language imagery unwelcome sexual attention advances Trolling, insulting/derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical electronic address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"https://ellessenne.github.io/rsimsum/CODE_OF_CONDUCT.html","id":"our-responsibilities","dir":"","previous_headings":"","what":"Our Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Project maintainers responsible clarifying standards acceptable behavior expected take appropriate fair corrective action response instances unacceptable behavior. Project maintainers right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, ban temporarily permanently contributor behaviors deem inappropriate, threatening, offensive, harmful.","code":""},{"path":"https://ellessenne.github.io/rsimsum/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within project spaces public spaces individual representing project community. Examples representing project community include using official project e-mail address, posting via official social media account, acting appointed representative online offline event. Representation project may defined clarified project maintainers.","code":""},{"path":"https://ellessenne.github.io/rsimsum/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported contacting project team alessandro.gasparini@ki.se. complaints reviewed investigated result response deemed necessary appropriate circumstances. project team obligated maintain confidentiality regard reporter incident. details specific enforcement policies may posted separately. Project maintainers follow enforce Code Conduct good faith may face temporary permanent repercussions determined members project’s leadership.","code":""},{"path":"https://ellessenne.github.io/rsimsum/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 1.4, available https://www.contributor-covenant.org/version/1/4/code--conduct.html answers common questions code conduct, see https://www.contributor-covenant.org/faq","code":""},{"path":"https://ellessenne.github.io/rsimsum/CONTRIBUTING.html","id":null,"dir":"","previous_headings":"","what":"Contributing","title":"Contributing","text":"want contribute project make better, help welcome. small, simple changes fixing typos can edit file directly GitHub clicking Edit button opening . complicated changes, manually create pull request (PR) forking repository. See next section information. submit non-trivial pull request (e.g. just fixing typo), may add name Authors@R field contributor (ctb) R package DESCRIPTION file wish.","code":""},{"path":"https://ellessenne.github.io/rsimsum/CONTRIBUTING.html","id":"pull-request-workflow","dir":"","previous_headings":"","what":"Pull Request Workflow","title":"Contributing","text":"Create personal fork project Github, clone fork local machine; Create new branch work ; Implement/fix feature, comment code; Follow code style project, including indentation; Run tests using devtools: devtools::test(); Write adapt tests needed; Add change documentation needed. Please run roxygen2, include changes .Rd files pull request - re-roxygenise documentation ; Push branch fork Github; fork open pull request correct branch. step--step workflow adapted https://github.com/MarcDiethelm/contributing. Working first Pull Request? can learn free series Contribute Open Source Project GitHub.","code":""},{"path":"https://ellessenne.github.io/rsimsum/CONTRIBUTING.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"Contributing","text":"contributing project agree adhere Contributors Code Conduct: please read CONDUCT.md proposing change.","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/A-introduction.html","id":"rsimsum","dir":"Articles","previous_headings":"","what":"rsimsum","title":"Introduction to rsimsum","text":"rsimsum R package can compute summary statistics simulation studies. inspired user-written command simsum Stata (White .R., 2010). aim rsimsum helping reporting simulation studies, including understanding role chance results simulation studies. Specifically, rsimsum can compute Monte Carlo standard errors summary statistics, defined standard deviation estimated summary statistic; reported default. Formula summary statistics Monte Carlo standard errors presented next section. Note terms summary statistic performance measure used interchangeably.","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/A-introduction.html","id":"notation","dir":"Articles","previous_headings":"","what":"Notation","title":"Introduction to rsimsum","text":"use th following notation throughout vignette: \\(\\theta\\): estimand, true value \\(n_{\\text{sim}}\\): number simulations \\(= 1, \\dots, n_{\\text{sim}}\\): indexes given simulation \\(\\hat{\\theta}_i\\): estimated value \\(\\theta\\) \\(^{\\text{th}}\\) replication \\(\\widehat{\\text{Var}}(\\hat{\\theta}_i)\\): estimated variance \\(\\text{Var}(\\hat{\\theta}_i)\\) \\(\\hat{\\theta}_i\\) \\(^{\\text{th}}\\) replication \\(\\text{Var}(\\hat{\\theta})\\): empirical variance \\(\\hat{\\theta}\\) \\(\\alpha\\): nominal significance level","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/A-introduction.html","id":"performance-measures","dir":"Articles","previous_headings":"","what":"Performance measures","title":"Introduction to rsimsum","text":"first performance measure interest bias, quantifies whether estimator targets true value \\(\\theta\\) average. Bias calculated : \\[\\text{Bias} = \\frac{1}{n_{\\text{sim}}} \\sum_{= 1} ^ {n_{\\text{sim}}} \\hat{\\theta}_i - \\theta\\] Monte Carlo standard error bias calculated : \\[\\text{MCSE(Bias)} = \\sqrt{\\frac{\\frac{1}{n_{\\text{sim}} - 1} \\sum_{= 1} ^ {n_{\\text{sim}}} (\\hat{\\theta}_i - \\bar{\\theta}) ^ 2}{n_{\\text{sim}}}}\\] rsimsum can also compute relative bias (relative true value \\(\\theta\\)), can interpreted similarly bias, relative terms rather absolute. calculated : \\[\\text{Relative Bias} = \\frac{1}{n_{\\text{sim}}} \\sum_{= 1} ^ {n_{\\text{sim}}} \\frac{\\hat{\\theta}_i - \\theta}{\\theta}\\] Monte Carlo standard error calculated : \\[ \\text{MCSE(Relative Bias)} =  \\sqrt{\\frac{1}{n_{\\text{sim}} (n_{\\text{sim}} - 1)} \\sum_i^{n_{\\text{sim} \\left[ \\frac{\\hat{\\theta}_i - \\theta}{\\theta} - \\widehat{\\text{Relative Bias}} \\right]^2} \\] empirical standard error \\(\\theta\\) depends \\(\\hat{\\theta}\\) require knowledge \\(\\theta\\). estimates standard deviation \\(\\hat{\\theta}\\) \\(n_{\\text{sim}}\\) replications: \\[\\text{Empirical SE} = \\sqrt{\\frac{1}{n_{\\text{sim}} - 1} \\sum_{= 1} ^ {n_{\\text{sim}}} (\\hat{\\theta}_i - \\bar{\\theta}) ^ 2}\\] Monte Carlo standard error calculated : \\[\\text{MCSE(Emp. SE)} = \\frac{\\widehat{\\text{Emp. SE}}}{\\sqrt{2 (n_{\\text{sim}} - 1)}}\\] comparing different methods, relative precision given method B reference method computed : \\[\\text{Relative % increase precision} = 100 \\left[ \\left( \\frac{\\widehat{\\text{Emp. SE}}_A}{\\widehat{\\text{Emp. SE}}_B} \\right) ^ 2 - 1 \\right]\\] (approximated) Monte Carlo standard error : \\[\\text{MCSE(Relative % increase precision)} \\simeq 200 \\left( \\frac{\\widehat{\\text{Emp. SE}}_A}{\\widehat{\\text{Emp. SE}}_B} \\right)^2 \\sqrt{\\frac{1 - \\rho^2_{AB}}{n_{\\text{sim}} - 1}}\\] \\(\\rho^2_{AB}\\) correlation \\(\\hat{\\theta}_A\\) \\(\\hat{\\theta}_B\\). measure takes account precision accuracy method mean squared error, sum squared bias variance \\(\\hat{\\theta}\\): \\[\\text{MSE} = \\frac{1}{n_{\\text{sim}}} \\sum_{= 1} ^ {n_{\\text{sim}}} (\\hat{\\theta}_i - \\theta) ^ 2\\] Monte Carlo standard error : \\[\\text{MCSE(MSE)} = \\sqrt{\\frac{\\sum_{= 1} ^ {n_{\\text{sim}}} \\left[ (\\hat{\\theta}_i - \\theta) ^2 - \\text{MSE} \\right] ^ 2}{n_{\\text{sim}} (n_{\\text{sim}} - 1)}}\\] model based standard error computed averaging estimated standard errors replication: \\[\\text{Model SE} = \\sqrt{\\frac{1}{n_{\\text{sim}}} \\sum_{= 1} ^ {n_{\\text{sim}}} \\widehat{\\text{Var}}(\\hat{\\theta}_i)}\\] (approximated) Monte Carlo standard error computed : \\[\\text{MCSE(Model SE)} \\simeq \\sqrt{\\frac{\\text{Var}[\\widehat{\\text{Var}}(\\hat{\\theta}_i)]}{4 n_{\\text{sim}} \\widehat{\\text{Model SE}}}}\\] model standard error targets empirical standard error. Hence, relative error model standard error informative performance measure: \\[\\text{Relative % error model SE} = 100 \\left( \\frac{\\text{Model SE}}{\\text{Empirical SE}} - 1\\right)\\] Monte Carlo standard error computed : \\[\\text{MCSE(Relative % error model SE)} = 100 \\left( \\frac{\\text{Model SE}}{\\text{Empirical SE}} \\right) \\sqrt{\\frac{\\text{Var}[\\widehat{\\text{Var}}(\\hat{\\theta}_i)]}{4 n_{\\text{sim}} \\widehat{\\text{Model SE}} ^ 4} + \\frac{1}{2(n_{\\text{sim}} - 1)}}\\] Coverage another key property estimator. defined probability confidence interval contains true value \\(\\theta\\), computed : \\[\\text{Coverage} = \\frac{1}{n_{\\text{sim}}} \\sum_{= 1} ^ {n_{\\text{sim}}} (\\hat{\\theta}_{, \\text{low}} \\le \\theta \\le \\hat{\\theta}_{, \\text{upp}})\\] \\((\\cdot)\\) indicator function. Monte Carlo standard error computed : \\[\\text{MCSE(Coverage)} = \\sqrt{\\frac{\\text{Coverage} \\times (1 - \\text{Coverage})}{n_{\\text{sim}}}}\\] coverage expected : \\(\\text{Bias} \\ne 0\\), \\(\\text{Models SE} < \\text{Empirical SE}\\), distribution \\(\\hat{\\theta}\\) normal intervals constructed assuming normality, \\(\\widehat{\\text{Var}}(\\hat{\\theta}_i)\\) variable coverage occurs result \\(\\text{Models SE} > \\text{Empirical SE}\\). coverage may result bias, another useful summary statistic bias-eliminated coverage: \\[\\text{Bias-eliminated coverage} = \\frac{1}{n_{\\text{sim}}} \\sum_{= 1} ^ {n_{\\text{sim}}} (\\hat{\\theta}_{, \\text{low}} \\le \\bar{\\theta} \\le \\hat{\\theta}_{, \\text{upp}}) \\] Monte Carlo standard error analogously coverage: \\[\\text{MCSE(Bias-eliminated coverage)} = \\sqrt{\\frac{\\text{Bias-eliminated coverage} \\times (1 - \\text{Bias-eliminated coverage})}{n_{\\text{sim}}}}\\] Finally, power significance test \\(\\alpha\\) level defined : \\[\\text{Power} = \\frac{1}{n_{\\text{sim}}} \\sum_{= 1} ^ {n_{\\text{sim}}} \\left[ |\\hat{\\theta}_i| \\ge z_{\\alpha/2} \\times \\sqrt{\\widehat{\\text{Var}}(\\hat{\\theta_i})} \\right]\\] Monte Carlo standard error analogously coverage: \\[\\text{MCSE(Power)} = \\sqrt{\\frac{\\text{Power} \\times (1 - \\text{Power})}{n_{\\text{sim}}}}\\] information summary statistics simulation studies can found White (2010) Morris, White, Crowther (2019).","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/A-introduction.html","id":"example-1-simulation-study-on-missing-data","dir":"Articles","previous_headings":"","what":"Example 1: Simulation study on missing data","title":"Introduction to rsimsum","text":"example dataset included rsimsum aim summarise simulation study comparing different ways handle missing covariates fitting Cox model (White Royston, 2009). One thousand datasets simulated, containing normally distributed covariates \\(x\\) \\(z\\) time--event outcome. covariates \\(20\\%\\) values deleted independently variables data became missing completely random (Little Rubin, 2002). simulated dataset analysed three ways. Cox model fit complete cases (CC). two methods multiple imputation using chained equations (van Buuren, Boshuizen, Knook, 1999) used. MI_LOGT method multiply imputes missing values \\(x\\) \\(z\\) outcome included \\(\\log(t)\\) \\(d\\), \\(t\\) survival time \\(d\\) event indicator. MI_T method except \\(\\log(t)\\) replaced \\(t\\) imputation model. load data usual way: Let’s look first 10 rows dataset: included variables : dataset, number simulated dataset; method, method used (CC, MI_LOGT MI_T); b, point estimate; se, standard error point estimate. summarise results simulation study method using simsum function: set true = 0.50 true value point estimate b - data simulated - 0.50. select CC reference method consider complete cases analysis reference method benchmark ; set reference method, simsum picks one automatically. Using default settings, Monte Carlo standard errors computed returned. Summarising simsum object, obtain following output: output begins brief overview setting simulation study (e.g. method variable, unique methods, etc.), continues summary statistic method (defined, case). values reported point estimates Monte Carlo standard errors brackets; however, also possible require confidence intervals based Monte Carlo standard errors reported instead: Highlighting points interest summary results : CC method small-sample bias away null (point estimate 0.0168, 95% confidence interval: 0.0074 - 0.0261); CC inefficient compared MI_LOGT MI_T: relative gain precision two methods 1.3105% 1.2637% compared CC, respectively; Model-based standard errors close empirical standard errors; Coverage nominal 95% confidence intervals also seems fine, surprising view generally low (lack ) bias good model-based standard errors; CC lower power compared MI_LOGT MI_T, surprising view inefficiency.","code":"library(rsimsum) data(\"MIsim\", package = \"rsimsum\") head(MIsim, n = 10) #> # A tibble: 10 × 4 #>    dataset method      b    se #>            #>  1       1 CC      0.707 0.147 #>  2       1 MI_T    0.684 0.126 #>  3       1 MI_LOGT 0.712 0.141 #>  4       2 CC      0.349 0.160 #>  5       2 MI_T    0.406 0.141 #>  6       2 MI_LOGT 0.429 0.136 #>  7       3 CC      0.650 0.152 #>  8       3 MI_T    0.503 0.130 #>  9       3 MI_LOGT 0.560 0.117 #> 10       4 CC      0.432 0.126 str(MIsim) #> tibble [3,000 × 4] (S3: tbl_df/tbl/data.frame) #>  $ dataset: num [1:3000] 1 1 1 2 2 2 3 3 3 4 ... #>  $ method : chr [1:3000] \"CC\" \"MI_T\" \"MI_LOGT\" \"CC\" ... #>  $ b      : num [1:3000] 0.707 0.684 0.712 0.349 0.406 ... #>  $ se     : num [1:3000] 0.147 0.126 0.141 0.16 0.141 ... #>  - attr(*, \"label\")= chr \"simsum example: data from a simulation study comparing 3 ways to handle missing\" s1 <- simsum(data = MIsim, estvarname = \"b\", true = 0.50, se = \"se\", methodvar = \"method\", ref = \"CC\") ss1 <- summary(s1) ss1 #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Non-missing point estimates/standard errors: #>    CC MI_LOGT MI_T #>  1000    1000 1000 #>  #> Average point estimate: #>      CC MI_LOGT   MI_T #>  0.5168  0.5009 0.4988 #>  #> Median point estimate: #>      CC MI_LOGT   MI_T #>  0.5070  0.4969 0.4939 #>  #> Average variance: #>      CC MI_LOGT   MI_T #>  0.0216  0.0182 0.0179 #>  #> Median variance: #>      CC MI_LOGT   MI_T #>  0.0211  0.0172 0.0169 #>  #> Bias in point estimate: #>               CC         MI_LOGT             MI_T #>  0.0168 (0.0048) 0.0009 (0.0042) -0.0012 (0.0043) #>  #> Relative bias in point estimate: #>               CC         MI_LOGT             MI_T #>  0.0335 (0.0096) 0.0018 (0.0083) -0.0024 (0.0085) #>  #> Empirical standard error: #>               CC         MI_LOGT            MI_T #>  0.1511 (0.0034) 0.1320 (0.0030) 0.1344 (0.0030) #>  #> % gain in precision relative to method CC: #>               CC          MI_LOGT             MI_T #>  0.0000 (0.0000) 31.0463 (3.9375) 26.3682 (3.8424) #>  #> Mean squared error: #>               CC         MI_LOGT            MI_T #>  0.0231 (0.0011) 0.0174 (0.0009) 0.0181 (0.0009) #>  #> Model-based standard error: #>               CC         MI_LOGT            MI_T #>  0.1471 (0.0005) 0.1349 (0.0006) 0.1338 (0.0006) #>  #> Relative % error in standard error: #>                CC         MI_LOGT             MI_T #>  -2.6594 (2.2055) 2.2233 (2.3323) -0.4412 (2.2695) #>  #> Coverage of nominal 95% confidence interval: #>               CC         MI_LOGT            MI_T #>  0.9430 (0.0073) 0.9490 (0.0070) 0.9430 (0.0073) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>               CC         MI_LOGT            MI_T #>  0.9400 (0.0075) 0.9490 (0.0070) 0.9430 (0.0073) #>  #> Power of 5% level test: #>               CC         MI_LOGT            MI_T #>  0.9460 (0.0071) 0.9690 (0.0055) 0.9630 (0.0060) print(ss1, mcse = FALSE) #> Values are: #>  Point Estimate (95% Confidence Interval based on Monte Carlo Standard Errors) #>  #> Non-missing point estimates/standard errors: #>    CC MI_LOGT MI_T #>  1000    1000 1000 #>  #> Average point estimate: #>      CC MI_LOGT   MI_T #>  0.5168  0.5009 0.4988 #>  #> Median point estimate: #>      CC MI_LOGT   MI_T #>  0.5070  0.4969 0.4939 #>  #> Average variance: #>      CC MI_LOGT   MI_T #>  0.0216  0.0182 0.0179 #>  #> Median variance: #>      CC MI_LOGT   MI_T #>  0.0211  0.0172 0.0169 #>  #> Bias in point estimate: #>                       CC                  MI_LOGT                      MI_T #>  0.0168 (0.0074, 0.0261) 0.0009 (-0.0073, 0.0091) -0.0012 (-0.0095, 0.0071) #>  #> Relative bias in point estimate: #>                       CC                  MI_LOGT                      MI_T #>  0.0335 (0.0148, 0.0523) 0.0018 (-0.0145, 0.0182) -0.0024 (-0.0190, 0.0143) #>  #> Empirical standard error: #>                       CC                 MI_LOGT                    MI_T #>  0.1511 (0.1445, 0.1577) 0.1320 (0.1262, 0.1378) 0.1344 (0.1285, 0.1403) #>  #> % gain in precision relative to method CC: #>                       CC                    MI_LOGT                       MI_T #>  0.0000 (0.0000, 0.0000) 31.0463 (23.3290, 38.7636) 26.3682 (18.8372, 33.8991) #>  #> Mean squared error: #>                       CC                 MI_LOGT                    MI_T #>  0.0231 (0.0209, 0.0253) 0.0174 (0.0157, 0.0191) 0.0181 (0.0163, 0.0198) #>  #> Model-based standard error: #>                       CC                 MI_LOGT                    MI_T #>  0.1471 (0.1461, 0.1481) 0.1349 (0.1338, 0.1361) 0.1338 (0.1327, 0.1350) #>  #> Relative % error in standard error: #>                         CC                  MI_LOGT                      MI_T #>  -2.6594 (-6.9820, 1.6633) 2.2233 (-2.3480, 6.7946) -0.4412 (-4.8894, 4.0070) #>  #> Coverage of nominal 95% confidence interval: #>                       CC                 MI_LOGT                    MI_T #>  0.9430 (0.9286, 0.9574) 0.9490 (0.9354, 0.9626) 0.9430 (0.9286, 0.9574) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>                       CC                 MI_LOGT                    MI_T #>  0.9400 (0.9253, 0.9547) 0.9490 (0.9354, 0.9626) 0.9430 (0.9286, 0.9574) #>  #> Power of 5% level test: #>                       CC                 MI_LOGT                    MI_T #>  0.9460 (0.9320, 0.9600) 0.9690 (0.9583, 0.9797) 0.9630 (0.9513, 0.9747)"},{"path":"https://ellessenne.github.io/rsimsum/articles/A-introduction.html","id":"tabulating-summary-statistics","dir":"Articles","previous_headings":"Example 1: Simulation study on missing data","what":"Tabulating summary statistics","title":"Introduction to rsimsum","text":"straightforward produce table summary statistics use R Markdown document: Using tidy() combination R packages xtable, kableExtra, tables can yield variety tables suit purposes. information producing tables directly R can found CRAN Task View Reproducible Research.","code":"library(knitr) #>  #> Attaching package: 'knitr' #> The following object is masked from 'package:rsimsum': #>  #>     kable kable(tidy(ss1))"},{"path":"https://ellessenne.github.io/rsimsum/articles/A-introduction.html","id":"plotting-summary-statistics","dir":"Articles","previous_headings":"Example 1: Simulation study on missing data","what":"Plotting summary statistics","title":"Introduction to rsimsum","text":"section, show plot compare summary statistics using popular R package ggplot. Plotting bias method \\(95\\%\\) confidence intervals based Monte Carlo standard errors:  Conversely, say want visually compare coverage three methods compared simulation study:","code":"library(ggplot2) ggplot(tidy(ss1, stats = \"bias\"), aes(x = method, y = est, ymin = lower, ymax = upper)) +   geom_hline(yintercept = 0, color = \"red\", lty = \"dashed\") +   geom_point() +   geom_errorbar(width = 1 / 3) +   theme_bw() +   labs(x = \"Method\", y = \"Bias\") ggplot(tidy(ss1, stats = \"cover\"), aes(x = method, y = est, ymin = lower, ymax = upper)) +   geom_hline(yintercept = 0.95, color = \"red\", lty = \"dashed\") +   geom_point() +   geom_errorbar(width = 1 / 3) +   coord_cartesian(ylim = c(0, 1)) +   theme_bw() +   labs(x = \"Method\", y = \"Coverage\")"},{"path":"https://ellessenne.github.io/rsimsum/articles/A-introduction.html","id":"dropping-large-estimates-and-standard-errors","dir":"Articles","previous_headings":"Example 1: Simulation study on missing data","what":"Dropping large estimates and standard errors","title":"Introduction to rsimsum","text":"rsimsum allows automatically drop estimates standard errors larger predefined value. Specifically, argument simsum control behaviour dropbig, tuning parameters dropbig.max dropbig.semax can passed via control argument. Set dropbig TRUE standardised estimates larger max absolute value dropped; standard errors larger semax times average standard error dropped . default, robust standardisation used (based median inter-quartile range); however, also possible request regular standardisation (based mean standard deviation) setting control parameter dropbig.robust = FALSE. instance, say want drop standardised estimates larger \\(3\\) absolute value standard errors larger \\(1.5\\) times average standard error: estimates dropped, can see number non-missing point estimates, standard errors: Everything else works analogously ; instance, summarise results:","code":"s1.2 <- simsum(data = MIsim, estvarname = \"b\", true = 0.50, se = \"se\", methodvar = \"method\", ref = \"CC\", dropbig = TRUE, control = list(dropbig.max = 4, dropbig.semax = 1.5)) summary(s1.2, stats = \"nsim\") #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Non-missing point estimates/standard errors: #>   CC MI_LOGT MI_T #>  958     951  944 summary(s1.2) #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Non-missing point estimates/standard errors: #>   CC MI_LOGT MI_T #>  958     951  944 #>  #> Average point estimate: #>      CC MI_LOGT   MI_T #>  0.5142  0.4978 0.4973 #>  #> Median point estimate: #>      CC MI_LOGT   MI_T #>  0.5065  0.4934 0.4939 #>  #> Average variance: #>      CC MI_LOGT   MI_T #>  0.0213  0.0175 0.0173 #>  #> Median variance: #>      CC MI_LOGT   MI_T #>  0.0211  0.0170 0.0167 #>  #> Bias in point estimate: #>               CC          MI_LOGT             MI_T #>  0.0142 (0.0048) -0.0022 (0.0043) -0.0027 (0.0043) #>  #> Relative bias in point estimate: #>           CC      MI_LOGT         MI_T #>  0.0283 (NA) -0.0044 (NA) -0.0055 (NA) #>  #> Empirical standard error: #>               CC         MI_LOGT            MI_T #>  0.1493 (0.0034) 0.1320 (0.0030) 0.1323 (0.0030) #>  #> % gain in precision relative to method CC: #>               CC          MI_LOGT             MI_T #>  0.0000 (0.0000) 27.9890 (3.9442) 27.4611 (4.0317) #>  #> Mean squared error: #>               CC         MI_LOGT            MI_T #>  0.0225 (0.0011) 0.0174 (0.0009) 0.0175 (0.0009) #>  #> Model-based standard error: #>               CC         MI_LOGT            MI_T #>  0.1459 (0.0005) 0.1323 (0.0005) 0.1314 (0.0005) #>  #> Relative % error in standard error: #>                CC         MI_LOGT             MI_T #>  -2.2821 (2.2545) 0.2271 (2.3291) -0.6949 (2.3128) #>  #> Coverage of nominal 95% confidence interval: #>               CC         MI_LOGT            MI_T #>  0.9447 (0.0074) 0.9464 (0.0073) 0.9417 (0.0076) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>               CC         MI_LOGT            MI_T #>  0.9426 (0.0075) 0.9453 (0.0074) 0.9439 (0.0075) #>  #> Power of 5% level test: #>               CC         MI_LOGT            MI_T #>  0.9457 (0.0073) 0.9685 (0.0057) 0.9661 (0.0059)"},{"path":"https://ellessenne.github.io/rsimsum/articles/A-introduction.html","id":"example-2-simulation-study-on-survival-modelling","dir":"Articles","previous_headings":"","what":"Example 2: Simulation study on survival modelling","title":"Introduction to rsimsum","text":"Let’s look first 10 rows dataset: included variables : dataset, simulated dataset number; n, sample size simulate dataset; baseline, baseline hazard function simulated dataset; model, method used (Cox model Royston-Parmar model 2 degrees freedom); theta, point estimate log-hazard ratio; se, standard error point estimate. rsimsum can summarise results simulation studies several data-generating mechanisms. instance, example show compute summary statistics baseline hazard function sample size. order summarise results data-generating factors, sufficient define “” factors call simsum: difference methodvar follows: methodvar represents methods (e.g. two models, example) compared simulation study, represents possible data-generating factors varied simulating data (case, sample size true baseline hazard function). Summarising results printed method combination data-generating factors:","code":"data(\"relhaz\", package = \"rsimsum\") head(relhaz, n = 10) #>    dataset  n    baseline       theta        se model #> 1        1 50 Exponential -0.88006151 0.3330172   Cox #> 2        2 50 Exponential -0.81460242 0.3253010   Cox #> 3        3 50 Exponential -0.14262887 0.3050516   Cox #> 4        4 50 Exponential -0.33251820 0.3144033   Cox #> 5        5 50 Exponential -0.48269940 0.3064726   Cox #> 6        6 50 Exponential -0.03160756 0.3097203   Cox #> 7        7 50 Exponential -0.23578090 0.3121350   Cox #> 8        8 50 Exponential -0.05046332 0.3136058   Cox #> 9        9 50 Exponential -0.22378715 0.3066037   Cox #> 10      10 50 Exponential -0.45326446 0.3330173   Cox str(relhaz) #> 'data.frame':    1200 obs. of  6 variables: #>  $ dataset : int  1 2 3 4 5 6 7 8 9 10 ... #>  $ n       : num  50 50 50 50 50 50 50 50 50 50 ... #>  $ baseline: chr  \"Exponential\" \"Exponential\" \"Exponential\" \"Exponential\" ... #>  $ theta   : num  -0.88 -0.815 -0.143 -0.333 -0.483 ... #>  $ se      : num  0.333 0.325 0.305 0.314 0.306 ... #>  $ model   : chr  \"Cox\" \"Cox\" \"Cox\" \"Cox\" ... s2 <- simsum(data = relhaz, estvarname = \"theta\", true = -0.50, se = \"se\", methodvar = \"model\", by = c(\"baseline\", \"n\")) #> 'ref' method was not specified, Cox set as the reference s2 #> Summary of a simulation study with a single estimand. #> True value of the estimand: -0.5  #>  #> Method variable: model  #>  Unique methods: Cox, Exp, RP(2)  #>  Reference method: Cox  #>  #> By factors: baseline, n  #>  #> Monte Carlo standard errors were computed. ss2 <- summary(s2) ss2 #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Non-missing point estimates/standard errors: #>     baseline   n Cox Exp RP(2) #>  Exponential  50 100 100   100 #>  Exponential 250 100 100   100 #>      Weibull  50 100 100   100 #>      Weibull 250 100 100   100 #>  #> Average point estimate: #>     baseline   n     Cox     Exp   RP(2) #>  Exponential  50 -0.4785 -0.4761 -0.4817 #>  Exponential 250 -0.5215 -0.5214 -0.5227 #>      Weibull  50 -0.5282 -0.3491 -0.5348 #>      Weibull 250 -0.5120 -0.3518 -0.5139 #>  #> Median point estimate: #>     baseline   n     Cox     Exp   RP(2) #>  Exponential  50 -0.4507 -0.4571 -0.4574 #>  Exponential 250 -0.5184 -0.5165 -0.5209 #>      Weibull  50 -0.5518 -0.3615 -0.5425 #>      Weibull 250 -0.5145 -0.3633 -0.5078 #>  #> Average variance: #>     baseline   n    Cox    Exp  RP(2) #>  Exponential  50 0.1014 0.0978 0.1002 #>  Exponential 250 0.0195 0.0191 0.0194 #>      Weibull  50 0.0931 0.0834 0.0898 #>      Weibull 250 0.0174 0.0164 0.0172 #>  #> Median variance: #>     baseline   n    Cox    Exp  RP(2) #>  Exponential  50 0.1000 0.0972 0.0989 #>  Exponential 250 0.0195 0.0190 0.0194 #>      Weibull  50 0.0914 0.0825 0.0875 #>      Weibull 250 0.0174 0.0164 0.0171 #>  #> Bias in point estimate: #>     baseline   n              Cox              Exp            RP(2) #>  Exponential  50  0.0215 (0.0328)  0.0239 (0.0326)  0.0183 (0.0331) #>  Exponential 250 -0.0215 (0.0149) -0.0214 (0.0151) -0.0227 (0.0149) #>      Weibull  50 -0.0282 (0.0311)  0.1509 (0.0204) -0.0348 (0.0311) #>      Weibull 250 -0.0120 (0.0133)  0.1482 (0.0093) -0.0139 (0.0137) #>  #> Relative bias in point estimate: #>     baseline   n              Cox              Exp            RP(2) #>  Exponential  50 -0.0430 (0.0657) -0.0478 (0.0652) -0.0366 (0.0662) #>  Exponential 250  0.0430 (0.0298)  0.0427 (0.0301)  0.0455 (0.0298) #>      Weibull  50  0.0564 (0.0623) -0.3018 (0.0408)  0.0695 (0.0622) #>      Weibull 250  0.0241 (0.0267) -0.2963 (0.0186)  0.0279 (0.0274) #>  #> Empirical standard error: #>     baseline   n             Cox             Exp           RP(2) #>  Exponential  50 0.3285 (0.0233) 0.3258 (0.0232) 0.3312 (0.0235) #>  Exponential 250 0.1488 (0.0106) 0.1506 (0.0107) 0.1489 (0.0106) #>      Weibull  50 0.3115 (0.0221) 0.2041 (0.0145) 0.3111 (0.0221) #>      Weibull 250 0.1333 (0.0095) 0.0929 (0.0066) 0.1368 (0.0097) #>  #> % gain in precision relative to method Cox: #>     baseline   n              Cox                Exp            RP(2) #>  Exponential  50 -0.0000 (0.0000)    1.6773 (3.2902) -1.6228 (1.7887) #>  Exponential 250  0.0000 (0.0000)   -2.3839 (3.0501) -0.1491 (0.9916) #>      Weibull  50 -0.0000 (0.0000) 132.7958 (16.4433)  0.2412 (3.7361) #>      Weibull 250 -0.0000 (0.0000) 105.8426 (12.4932) -4.9519 (2.0647) #>  #> Mean squared error: #>     baseline   n             Cox             Exp           RP(2) #>  Exponential  50 0.1073 (0.0149) 0.1056 (0.0146) 0.1089 (0.0154) #>  Exponential 250 0.0224 (0.0028) 0.0229 (0.0028) 0.0225 (0.0028) #>      Weibull  50 0.0968 (0.0117) 0.0640 (0.0083) 0.0970 (0.0117) #>      Weibull 250 0.0177 (0.0027) 0.0305 (0.0033) 0.0187 (0.0028) #>  #> Model-based standard error: #>     baseline   n             Cox             Exp           RP(2) #>  Exponential  50 0.3185 (0.0013) 0.3127 (0.0010) 0.3165 (0.0012) #>  Exponential 250 0.1396 (0.0002) 0.1381 (0.0002) 0.1394 (0.0002) #>      Weibull  50 0.3052 (0.0014) 0.2888 (0.0005) 0.2996 (0.0012) #>      Weibull 250 0.1320 (0.0002) 0.1281 (0.0001) 0.1313 (0.0002) #>  #> Relative % error in standard error: #>     baseline   n              Cox               Exp            RP(2) #>  Exponential  50 -3.0493 (6.9011)  -4.0156 (6.8286) -4.4305 (6.8013) #>  Exponential 250 -6.2002 (6.6679)  -8.3339 (6.5160) -6.4133 (6.6528) #>      Weibull  50 -2.0115 (6.9776) 41.4993 (10.0594) -3.6873 (6.8549) #>      Weibull 250 -0.9728 (7.0397)  37.7762 (9.7917) -4.0191 (6.8228) #>  #> Coverage of nominal 95% confidence interval: #>     baseline   n             Cox             Exp           RP(2) #>  Exponential  50 0.9500 (0.0218) 0.9400 (0.0237) 0.9500 (0.0218) #>  Exponential 250 0.9300 (0.0255) 0.9200 (0.0271) 0.9300 (0.0255) #>      Weibull  50 0.9700 (0.0171) 0.9900 (0.0099) 0.9500 (0.0218) #>      Weibull 250 0.9400 (0.0237) 0.8500 (0.0357) 0.9400 (0.0237) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>     baseline   n             Cox             Exp           RP(2) #>  Exponential  50 0.9500 (0.0218) 0.9500 (0.0218) 0.9500 (0.0218) #>  Exponential 250 0.9400 (0.0237) 0.9400 (0.0237) 0.9400 (0.0237) #>      Weibull  50 0.9500 (0.0218) 1.0000 (0.0000) 0.9500 (0.0218) #>      Weibull 250 0.9500 (0.0218) 0.9900 (0.0099) 0.9400 (0.0237) #>  #> Power of 5% level test: #>     baseline   n             Cox             Exp           RP(2) #>  Exponential  50 0.3600 (0.0480) 0.3800 (0.0485) 0.3700 (0.0483) #>  Exponential 250 0.9800 (0.0140) 0.9900 (0.0099) 0.9900 (0.0099) #>      Weibull  50 0.4300 (0.0495) 0.0900 (0.0286) 0.4700 (0.0499) #>      Weibull 250 0.9700 (0.0171) 0.8600 (0.0347) 0.9700 (0.0171)"},{"path":"https://ellessenne.github.io/rsimsum/articles/A-introduction.html","id":"plotting-summary-statistics-1","dir":"Articles","previous_headings":"Example 2: Simulation study on survival modelling","what":"Plotting summary statistics","title":"Introduction to rsimsum","text":"Tables get cumbersome many different data-generating mechanisms. Plots generally easier interpret, can generated easily . Say want compare bias method baseline hazard function sample size using faceting:","code":"ggplot(tidy(ss2, stats = \"bias\"), aes(x = model, y = est, ymin = lower, ymax = upper)) +   geom_hline(yintercept = 0, color = \"red\", lty = \"dashed\") +   geom_point() +   geom_errorbar(width = 1 / 3) +   facet_grid(baseline ~ n) +   theme_bw() +   labs(x = \"Method\", y = \"Bias\")"},{"path":"https://ellessenne.github.io/rsimsum/articles/A-introduction.html","id":"references","dir":"Articles","previous_headings":"","what":"References","title":"Introduction to rsimsum","text":"White, .R. 2010. simsum: Analyses simulation studies including Monte Carlo error. Stata Journal 10(3): 369-385 Morris, T.P., White, .R. Crowther, M.J. 2019. Using simulation studies evaluate statistical methods. Statistics Medicine 38:2074-2102 White, .R., P. Royston. 2009. Imputing missing covariate values Cox model. Statistics Medicine 28(15):1982-1998 Little, R.J.., D.B. Rubin. 2002. Statistical analysis missing data. 2nd ed. Hoboken, NJ: Wiley van Buuren, S., H.C. Boshuizen, D.L. Knook. 1999. Multiple imputation missing blood pressure covariates survival analysis. Statistics Medicine 18(6):681-694","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Simulating a simulation study","text":"vignette, show simulated data included example dataset simsum generated.","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"motivation","dir":"Articles","previous_headings":"","what":"Motivation","title":"Simulating a simulation study","text":"Say want run simulation study want compare sensitivity parametric semiparametric survival models relative risk estimates.","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"data-generating-mechanisms","dir":"Articles","previous_headings":"","what":"Data generating mechanisms","title":"Simulating a simulation study","text":"simulate hypothetical trial binary treatment. fix log-treatment effect \\(-0.50\\), generate treatment indicator variable simulated individual via \\(Binom(1, 0.5)\\) random variable. simulate two different sample sizes (50 250 individuals) assume two different baseline hazard functions: exponential scale parameter \\(\\lambda = 0.5\\), Weibull scale parameter \\(\\lambda = 0.5\\) shape parameter \\(\\gamma = 1.5\\). Finally, apply administrative censoring time \\(t = 5\\).  survival times estimated using approach Bender et al. (2005), based drawing \\(U(0, 1)\\) random variable applying following transformations: exponential baseline hazard, survival time \\(t\\) simulated : \\[t = -\\frac{log(U)}{\\lambda \\exp(\\beta ^ T X)}\\] Weibull baseline hazard, survival time \\(t\\) simulated : \\[t = \\left(-\\frac{log(U)}{\\lambda \\exp(\\beta ^ T X)}\\right) ^ {1 / \\gamma}\\] R function simulate dataset simulation study defined follows:","code":"exp_basehaz <- function(t, lambda = 0.5) lambda * 1 * t^0 exp_weibull <- function(t, lambda = 0.5, gamma = 1.5) lambda * gamma * t^(gamma - 1) curve(exp_basehaz, from = 0, to = 5, lty = 1, ylim = c(0, 2), ylab = expression(h[0](t)), xlab = \"Follow-up time t\") curve(exp_weibull, from = 0, to = 5, lty = 2, add = TRUE) legend(x = \"topleft\", lty = 1:2, legend = c(\"Exponential baseline hazard\", \"Weibull baseline hazard\"), bty = \"n\") simulate_data <- function(dataset, n, baseline, params = list(), coveff = -0.50) {   # Simulate treatment indicator variable   x <- rbinom(n = n, size = 1, prob = 0.5)   # Draw from a U(0,1) random variable   u <- runif(n)   # Simulate survival times depending on the baseline hazard   if (baseline == \"Exponential\") {     t <- -log(u) / (params$lambda * exp(x * coveff))   } else {     t <- (-log(u) / (params$lambda * exp(x * coveff)))^(1 / params$gamma)   }   # Winsorising tiny values for t (smaller than one day on a yearly-scale, e.g. 1 / 365.242), and adding a tiny amount of white noise not to have too many concurrent values   t <- ifelse(t < 1 / 365.242, 1 / 365.242, t)   t[t == 1 / 365.242] <- t[t == 1 / 365.242] + rnorm(length(t[t == 1 / 365.242]), mean = 0, sd = 1e-4)   # ...and make sure that the resulting value is positive   t <- abs(t)    # Make event indicator variable applying administrative censoring at t = 5   d <- as.numeric(t < 5)   t <- pmin(t, 5)   # Return a data.frame   data.frame(dataset = dataset, x = x, t = t, d = d, n = n, baseline = baseline, stringsAsFactors = FALSE) }"},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"methods","dir":"Articles","previous_headings":"","what":"Methods","title":"Simulating a simulation study","text":"compare Cox model (Cox, 1972) fully parametric survival model assuming exponential baseline hazard flexible parametric model 2 degrees freedom modelling baseline hazard (Royston Parmar, 2002). Cox model can fit via coxph function survival package, exponential model can fit via phreg function eha package, Royston-Parmar model can fixed via stpm2 function rstpm2 package.","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"performance-measures","dir":"Articles","previous_headings":"","what":"Performance measures","title":"Simulating a simulation study","text":"Say interested following performance measures: Bias estimated log-treatment effect, corresponding \\(95\\%\\) Monte Carlo confidence intervals Coverage confidence intervals log-treatment effect, defined proportion simulated data sets true log-treatment effect \\(-0.50\\) lies within \\(95\\%\\) confidence intervals obtained model","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"sample-size","dir":"Articles","previous_headings":"","what":"Sample size","title":"Simulating a simulation study","text":"primarily interested bias, assume variance estimated log-treatment effect \\(0.1\\). Monte Carlo standard error bias : \\[\\text{MCSE} = \\sqrt{\\frac{\\text{variance}}{\\# \\text{simulations}}}\\] Aiming Monte Carlo standard error 0.01 estimated bias, require \\(1,000\\) replications. Monte Carlo standard error coverage : \\[\\text{MCSE} = \\sqrt{\\frac{\\text{coverage} \\times (1 - \\text{coverage})}{\\# \\text{simulations}}}\\] Monte Carlo standard error maximised coverage = \\(0.5\\). setting, Monte Carlo standard error \\(1,000\\) replications \\(0.01581139\\), deemed acceptable. Therefore, run \\(1,000\\) replications simulation study. However, simplicity, run \\(100\\) replications speed process.","code":""},{"path":[]},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"generate-data","dir":"Articles","previous_headings":"Running the simulation study","what":"Generate data","title":"Simulating a simulation study","text":"generate \\(100\\) datasets data-generating mechanism. First, set random seed reproducibility: , simulate data:","code":"set.seed(755353002) reps <- 1:100 data <- list() data[[\"n = 50, baseline = Exp\"]] <- lapply(   X = reps,   FUN = simulate_data,   n = 50,   baseline = \"Exponential\",   params = list(lambda = 0.5) ) data[[\"n = 250, baseline = Exp\"]] <- lapply(   X = reps,   FUN = simulate_data,   n = 250,   baseline = \"Exponential\",   params = list(lambda = 0.5) ) data[[\"n = 50, baseline = Wei\"]] <- lapply(   X = reps,   FUN = simulate_data,   n = 50,   baseline = \"Weibull\",   params = list(lambda = 0.5, gamma = 1.5) ) data[[\"n = 250, baseline = Wei\"]] <- lapply(   X = reps,   FUN = simulate_data,   n = 250,   baseline = \"Weibull\",   params = list(lambda = 0.5, gamma = 1.5) )"},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"run-models","dir":"Articles","previous_headings":"Running the simulation study","what":"Run models","title":"Simulating a simulation study","text":"define function fit models interest: now run models simulated dataset:","code":"library(survival) library(rstpm2) #> Loading required package: splines #>  #> Attaching package: 'rstpm2' #> The following object is masked from 'package:survival': #>  #>     colon library(eha)  fit_models <- function(data, model) {   # Fit model   if (model == \"Cox\") {     fit <- survival::coxph(Surv(t, d) ~ x, data = data)   } else if (model == \"RP(2)\") {     fit <- rstpm2::stpm2(Surv(t, d) ~ x, data = data, df = 2)   } else {     fit <- eha::phreg(Surv(t, d) ~ x, data = data, dist = \"weibull\", shape = 1)   }   # Return relevant coefficients   data.frame(     dataset = unique(data$dataset),     n = unique(data$n),     baseline = unique(data$baseline),     theta = coef(fit)[\"x\"],     se = sqrt(ifelse(model == \"Exp\", fit$var[\"x\", \"x\"], vcov(fit)[\"x\", \"x\"])),     model = model,     stringsAsFactors = FALSE,     row.names = NULL   ) } results <- list() results[[\"n = 50, baseline = Exp, model = Cox\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 50, baseline = Exp\"]],     FUN = fit_models,     model = \"Cox\"   ) ) results[[\"n = 250, baseline = Exp, model = Cox\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 250, baseline = Exp\"]],     FUN = fit_models,     model = \"Cox\"   ) ) results[[\"n = 50, baseline = Wei, model = Cox\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 50, baseline = Wei\"]],     FUN = fit_models,     model = \"Cox\"   ) ) results[[\"n = 250, baseline = Wei, model = Cox\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 250, baseline = Wei\"]],     FUN = fit_models,     model = \"Cox\"   ) )  results[[\"n = 50, baseline = Exp, model = Exp\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 50, baseline = Exp\"]],     FUN = fit_models,     model = \"Exp\"   ) ) results[[\"n = 250, baseline = Exp, model = Exp\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 250, baseline = Exp\"]],     FUN = fit_models,     model = \"Exp\"   ) ) results[[\"n = 50, baseline = Wei, model = Exp\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 50, baseline = Wei\"]],     FUN = fit_models,     model = \"Exp\"   ) ) results[[\"n = 250, baseline = Wei, model = Exp\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 250, baseline = Wei\"]],     FUN = fit_models,     model = \"Exp\"   ) )  results[[\"n = 50, baseline = Exp, model = RP(2)\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 50, baseline = Exp\"]],     FUN = fit_models,     model = \"RP(2)\"   ) ) results[[\"n = 250, baseline = Exp, model = RP(2)\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 250, baseline = Exp\"]],     FUN = fit_models,     model = \"RP(2)\"   ) ) results[[\"n = 50, baseline = Wei, model = RP(2)\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 50, baseline = Wei\"]],     FUN = fit_models,     model = \"RP(2)\"   ) ) results[[\"n = 250, baseline = Wei, model = RP(2)\"]] <- do.call(   rbind.data.frame,   lapply(     X = data[[\"n = 250, baseline = Wei\"]],     FUN = fit_models,     model = \"RP(2)\"   ) )"},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"aggregating-results","dir":"Articles","previous_headings":"Running the simulation study","what":"Aggregating results","title":"Simulating a simulation study","text":"save final results, included example R package rsimsum.","code":"relhaz <- do.call(   rbind.data.frame,   results ) row.names(relhaz) <- NULL library(usethis) usethis::use_data(relhaz, overwrite = TRUE)"},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"summarising-results","dir":"Articles","previous_headings":"Running the simulation study","what":"Summarising results","title":"Simulating a simulation study","text":"Finally, obtain summary statistics calling simsum function:","code":"library(rsimsum) #>  #> Attaching package: 'rsimsum' #> The following object is masked _by_ '.GlobalEnv': #>  #>     relhaz s <- rsimsum::simsum(data = relhaz, estvarname = \"theta\", se = \"se\", true = -0.50, methodvar = \"model\", ref = \"Cox\", by = c(\"n\", \"baseline\")) s #> Summary of a simulation study with a single estimand. #> True value of the estimand: -0.5  #>  #> Method variable: model  #>  Unique methods: Cox, Exp, RP(2)  #>  Reference method: Cox  #>  #> By factors: n, baseline  #>  #> Monte Carlo standard errors were computed. summary(s) #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Non-missing point estimates/standard errors: #>    n    baseline Cox Exp RP(2) #>   50 Exponential 100 100   100 #>   50     Weibull 100 100   100 #>  250 Exponential 100 100   100 #>  250     Weibull 100 100   100 #>  #> Average point estimate: #>    n    baseline     Cox     Exp   RP(2) #>   50 Exponential -0.4785 -0.4761 -0.4817 #>   50     Weibull -0.5282 -0.3491 -0.5345 #>  250 Exponential -0.5215 -0.5214 -0.5227 #>  250     Weibull -0.5120 -0.3518 -0.5139 #>  #> Median point estimate: #>    n    baseline     Cox     Exp   RP(2) #>   50 Exponential -0.4507 -0.4571 -0.4574 #>   50     Weibull -0.5518 -0.3615 -0.5425 #>  250 Exponential -0.5184 -0.5165 -0.5209 #>  250     Weibull -0.5145 -0.3633 -0.5078 #>  #> Average variance: #>    n    baseline    Cox    Exp  RP(2) #>   50 Exponential 0.1014 0.0978 0.1002 #>   50     Weibull 0.0931 0.0834 0.0898 #>  250 Exponential 0.0195 0.0191 0.0194 #>  250     Weibull 0.0174 0.0164 0.0172 #>  #> Median variance: #>    n    baseline    Cox    Exp  RP(2) #>   50 Exponential 0.1000 0.0972 0.0989 #>   50     Weibull 0.0914 0.0825 0.0875 #>  250 Exponential 0.0195 0.0190 0.0194 #>  250     Weibull 0.0174 0.0164 0.0171 #>  #> Bias in point estimate: #>    n    baseline              Cox              Exp            RP(2) #>   50 Exponential  0.0215 (0.0328)  0.0239 (0.0326)  0.0183 (0.0331) #>   50     Weibull -0.0282 (0.0311)  0.1509 (0.0204) -0.0345 (0.0311) #>  250 Exponential -0.0215 (0.0149) -0.0214 (0.0151) -0.0227 (0.0149) #>  250     Weibull -0.0120 (0.0133)  0.1482 (0.0093) -0.0139 (0.0137) #>  #> Relative bias in point estimate: #>    n    baseline              Cox              Exp            RP(2) #>   50 Exponential -0.0430 (0.0657) -0.0478 (0.0652) -0.0366 (0.0662) #>   50     Weibull  0.0564 (0.0623) -0.3018 (0.0408)  0.0690 (0.0622) #>  250 Exponential  0.0430 (0.0298)  0.0427 (0.0301)  0.0455 (0.0298) #>  250     Weibull  0.0241 (0.0267) -0.2963 (0.0186)  0.0279 (0.0274) #>  #> Empirical standard error: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.3285 (0.0233) 0.3258 (0.0232) 0.3312 (0.0235) #>   50     Weibull 0.3115 (0.0221) 0.2041 (0.0145) 0.3109 (0.0221) #>  250 Exponential 0.1488 (0.0106) 0.1506 (0.0107) 0.1489 (0.0106) #>  250     Weibull 0.1333 (0.0095) 0.0929 (0.0066) 0.1368 (0.0097) #>  #> % gain in precision relative to method Cox: #>    n    baseline             Cox                Exp            RP(2) #>   50 Exponential 0.0000 (0.0000)    1.6773 (3.2902) -1.6262 (1.7888) #>   50     Weibull 0.0000 (0.0000) 132.7958 (16.4433)  0.3583 (3.7387) #>  250 Exponential 0.0000 (0.0000)   -2.3839 (3.0501) -0.1491 (0.9917) #>  250     Weibull 0.0000 (0.0000) 105.8426 (12.4932) -4.9534 (2.0649) #>  #> Mean squared error: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.1073 (0.0149) 0.1056 (0.0146) 0.1089 (0.0154) #>   50     Weibull 0.0968 (0.0117) 0.0640 (0.0083) 0.0969 (0.0117) #>  250 Exponential 0.0224 (0.0028) 0.0229 (0.0028) 0.0225 (0.0028) #>  250     Weibull 0.0177 (0.0027) 0.0305 (0.0033) 0.0187 (0.0028) #>  #> Model-based standard error: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.3185 (0.0013) 0.3127 (0.0010) 0.3165 (0.0012) #>   50     Weibull 0.3052 (0.0014) 0.2888 (0.0005) 0.2996 (0.0012) #>  250 Exponential 0.1396 (0.0002) 0.1381 (0.0002) 0.1394 (0.0002) #>  250     Weibull 0.1320 (0.0002) 0.1281 (0.0001) 0.1313 (0.0002) #>  #> Relative % error in standard error: #>    n    baseline              Cox               Exp            RP(2) #>   50 Exponential -3.0493 (6.9011)  -4.0156 (6.8286) -4.4322 (6.8012) #>   50     Weibull -2.0115 (6.9776) 41.4993 (10.0594) -3.6354 (6.8586) #>  250 Exponential -6.2002 (6.6679)  -8.3339 (6.5160) -6.4133 (6.6528) #>  250     Weibull -0.9728 (7.0397)  37.7762 (9.7917) -4.0199 (6.8228) #>  #> Coverage of nominal 95% confidence interval: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.9500 (0.0218) 0.9400 (0.0237) 0.9500 (0.0218) #>   50     Weibull 0.9700 (0.0171) 0.9900 (0.0099) 0.9500 (0.0218) #>  250 Exponential 0.9300 (0.0255) 0.9200 (0.0271) 0.9300 (0.0255) #>  250     Weibull 0.9400 (0.0237) 0.8500 (0.0357) 0.9400 (0.0237) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.9500 (0.0218) 0.9500 (0.0218) 0.9500 (0.0218) #>   50     Weibull 0.9500 (0.0218) 1.0000 (0.0000) 0.9500 (0.0218) #>  250 Exponential 0.9400 (0.0237) 0.9400 (0.0237) 0.9400 (0.0237) #>  250     Weibull 0.9500 (0.0218) 0.9900 (0.0099) 0.9400 (0.0237) #>  #> Power of 5% level test: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.3600 (0.0480) 0.3800 (0.0485) 0.3700 (0.0483) #>   50     Weibull 0.4300 (0.0495) 0.0900 (0.0286) 0.4700 (0.0499) #>  250 Exponential 0.9800 (0.0140) 0.9900 (0.0099) 0.9900 (0.0099) #>  250     Weibull 0.9700 (0.0171) 0.8600 (0.0347) 0.9700 (0.0171)"},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"conclusions","dir":"Articles","previous_headings":"","what":"Conclusions","title":"Simulating a simulation study","text":"vignette showed simulate survival data run small, simple simulation study.","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/B-relhaz.html","id":"references","dir":"Articles","previous_headings":"","what":"References","title":"Simulating a simulation study","text":"Cox D.R. Regression models life-tables. Journal Royal Statistical Society, Series B (Methodological), 1972, 34(2):187-220 Royston P. Parmar M.K. Flexible parametric proportional-hazards proportional-odds models censored survival data, application prognostic modelling estimation treatment effects. Statistics Medicine, 2002, 21(15):2175-2197 Bender R., Augustin T., Blettner M. Generating survival times simulate Cox proportional hazards models. Statistics Medicine, 2005, 24(11):1713-1723","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/C-plotting.html","id":"data","dir":"Articles","previous_headings":"","what":"Data","title":"Visualising results from rsimsum","text":"use data simulation study misspecification baseline hazard survival models. dataset included rsimsum can loaded : Inspecting structure dataset first 15 rows data:","code":"data(\"relhaz\", package = \"rsimsum\") str(relhaz) #> 'data.frame':    1200 obs. of  6 variables: #>  $ dataset : int  1 2 3 4 5 6 7 8 9 10 ... #>  $ n       : num  50 50 50 50 50 50 50 50 50 50 ... #>  $ baseline: chr  \"Exponential\" \"Exponential\" \"Exponential\" \"Exponential\" ... #>  $ theta   : num  -0.88 -0.815 -0.143 -0.333 -0.483 ... #>  $ se      : num  0.333 0.325 0.305 0.314 0.306 ... #>  $ model   : chr  \"Cox\" \"Cox\" \"Cox\" \"Cox\" ... head(relhaz, n = 15) #>    dataset  n    baseline       theta        se model #> 1        1 50 Exponential -0.88006151 0.3330172   Cox #> 2        2 50 Exponential -0.81460242 0.3253010   Cox #> 3        3 50 Exponential -0.14262887 0.3050516   Cox #> 4        4 50 Exponential -0.33251820 0.3144033   Cox #> 5        5 50 Exponential -0.48269940 0.3064726   Cox #> 6        6 50 Exponential -0.03160756 0.3097203   Cox #> 7        7 50 Exponential -0.23578090 0.3121350   Cox #> 8        8 50 Exponential -0.05046332 0.3136058   Cox #> 9        9 50 Exponential -0.22378715 0.3066037   Cox #> 10      10 50 Exponential -0.45326446 0.3330173   Cox #> 11      11 50 Exponential -0.71402510 0.3251902   Cox #> 12      12 50 Exponential -0.32956944 0.3073481   Cox #> 13      13 50 Exponential -0.15351788 0.3056453   Cox #> 14      14 50 Exponential -0.82742207 0.3283561   Cox #> 15      15 50 Exponential -0.14594648 0.3255636   Cox"},{"path":"https://ellessenne.github.io/rsimsum/articles/C-plotting.html","id":"summarise-results","dir":"Articles","previous_headings":"","what":"Summarise results","title":"Visualising results from rsimsum","text":"use simsum function summarise results: call simsum x = TRUE required types plots (e.g. zip plots, scatter plots, etc.). rsimsum implements autoplot method objects classes: simsum, summary.simsum, multisimsum, summary.multisimsum. See ?ggplot2::autoplot() details S3 generic function.","code":"s1 <- simsum(   data = relhaz, estvarname = \"theta\", se = \"se\", true = -0.50,   methodvar = \"model\", by = c(\"n\", \"baseline\"), x = TRUE ) #> 'ref' method was not specified, Cox set as the reference s1 #> Summary of a simulation study with a single estimand. #> True value of the estimand: -0.5  #>  #> Method variable: model  #>  Unique methods: Cox, Exp, RP(2)  #>  Reference method: Cox  #>  #> By factors: n, baseline  #>  #> Monte Carlo standard errors were computed. summary(s1) #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Non-missing point estimates/standard errors: #>    n    baseline Cox Exp RP(2) #>   50 Exponential 100 100   100 #>   50     Weibull 100 100   100 #>  250 Exponential 100 100   100 #>  250     Weibull 100 100   100 #>  #> Average point estimate: #>    n    baseline     Cox     Exp   RP(2) #>   50 Exponential -0.4785 -0.4761 -0.4817 #>   50     Weibull -0.5282 -0.3491 -0.5348 #>  250 Exponential -0.5215 -0.5214 -0.5227 #>  250     Weibull -0.5120 -0.3518 -0.5139 #>  #> Median point estimate: #>    n    baseline     Cox     Exp   RP(2) #>   50 Exponential -0.4507 -0.4571 -0.4574 #>   50     Weibull -0.5518 -0.3615 -0.5425 #>  250 Exponential -0.5184 -0.5165 -0.5209 #>  250     Weibull -0.5145 -0.3633 -0.5078 #>  #> Average variance: #>    n    baseline    Cox    Exp  RP(2) #>   50 Exponential 0.1014 0.0978 0.1002 #>   50     Weibull 0.0931 0.0834 0.0898 #>  250 Exponential 0.0195 0.0191 0.0194 #>  250     Weibull 0.0174 0.0164 0.0172 #>  #> Median variance: #>    n    baseline    Cox    Exp  RP(2) #>   50 Exponential 0.1000 0.0972 0.0989 #>   50     Weibull 0.0914 0.0825 0.0875 #>  250 Exponential 0.0195 0.0190 0.0194 #>  250     Weibull 0.0174 0.0164 0.0171 #>  #> Bias in point estimate: #>    n    baseline              Cox              Exp            RP(2) #>   50 Exponential  0.0215 (0.0328)  0.0239 (0.0326)  0.0183 (0.0331) #>   50     Weibull -0.0282 (0.0311)  0.1509 (0.0204) -0.0348 (0.0311) #>  250 Exponential -0.0215 (0.0149) -0.0214 (0.0151) -0.0227 (0.0149) #>  250     Weibull -0.0120 (0.0133)  0.1482 (0.0093) -0.0139 (0.0137) #>  #> Relative bias in point estimate: #>    n    baseline              Cox              Exp            RP(2) #>   50 Exponential -0.0430 (0.0657) -0.0478 (0.0652) -0.0366 (0.0662) #>   50     Weibull  0.0564 (0.0623) -0.3018 (0.0408)  0.0695 (0.0622) #>  250 Exponential  0.0430 (0.0298)  0.0427 (0.0301)  0.0455 (0.0298) #>  250     Weibull  0.0241 (0.0267) -0.2963 (0.0186)  0.0279 (0.0274) #>  #> Empirical standard error: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.3285 (0.0233) 0.3258 (0.0232) 0.3312 (0.0235) #>   50     Weibull 0.3115 (0.0221) 0.2041 (0.0145) 0.3111 (0.0221) #>  250 Exponential 0.1488 (0.0106) 0.1506 (0.0107) 0.1489 (0.0106) #>  250     Weibull 0.1333 (0.0095) 0.0929 (0.0066) 0.1368 (0.0097) #>  #> % gain in precision relative to method Cox: #>    n    baseline              Cox                Exp            RP(2) #>   50 Exponential -0.0000 (0.0000)    1.6773 (3.2902) -1.6228 (1.7887) #>   50     Weibull -0.0000 (0.0000) 132.7958 (16.4433)  0.2412 (3.7361) #>  250 Exponential  0.0000 (0.0000)   -2.3839 (3.0501) -0.1491 (0.9916) #>  250     Weibull -0.0000 (0.0000) 105.8426 (12.4932) -4.9519 (2.0647) #>  #> Mean squared error: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.1073 (0.0149) 0.1056 (0.0146) 0.1089 (0.0154) #>   50     Weibull 0.0968 (0.0117) 0.0640 (0.0083) 0.0970 (0.0117) #>  250 Exponential 0.0224 (0.0028) 0.0229 (0.0028) 0.0225 (0.0028) #>  250     Weibull 0.0177 (0.0027) 0.0305 (0.0033) 0.0187 (0.0028) #>  #> Model-based standard error: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.3185 (0.0013) 0.3127 (0.0010) 0.3165 (0.0012) #>   50     Weibull 0.3052 (0.0014) 0.2888 (0.0005) 0.2996 (0.0012) #>  250 Exponential 0.1396 (0.0002) 0.1381 (0.0002) 0.1394 (0.0002) #>  250     Weibull 0.1320 (0.0002) 0.1281 (0.0001) 0.1313 (0.0002) #>  #> Relative % error in standard error: #>    n    baseline              Cox               Exp            RP(2) #>   50 Exponential -3.0493 (6.9011)  -4.0156 (6.8286) -4.4305 (6.8013) #>   50     Weibull -2.0115 (6.9776) 41.4993 (10.0594) -3.6873 (6.8549) #>  250 Exponential -6.2002 (6.6679)  -8.3339 (6.5160) -6.4133 (6.6528) #>  250     Weibull -0.9728 (7.0397)  37.7762 (9.7917) -4.0191 (6.8228) #>  #> Coverage of nominal 95% confidence interval: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.9500 (0.0218) 0.9400 (0.0237) 0.9500 (0.0218) #>   50     Weibull 0.9700 (0.0171) 0.9900 (0.0099) 0.9500 (0.0218) #>  250 Exponential 0.9300 (0.0255) 0.9200 (0.0271) 0.9300 (0.0255) #>  250     Weibull 0.9400 (0.0237) 0.8500 (0.0357) 0.9400 (0.0237) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.9500 (0.0218) 0.9500 (0.0218) 0.9500 (0.0218) #>   50     Weibull 0.9500 (0.0218) 1.0000 (0.0000) 0.9500 (0.0218) #>  250 Exponential 0.9400 (0.0237) 0.9400 (0.0237) 0.9400 (0.0237) #>  250     Weibull 0.9500 (0.0218) 0.9900 (0.0099) 0.9400 (0.0237) #>  #> Power of 5% level test: #>    n    baseline             Cox             Exp           RP(2) #>   50 Exponential 0.3600 (0.0480) 0.3800 (0.0485) 0.3700 (0.0483) #>   50     Weibull 0.4300 (0.0495) 0.0900 (0.0286) 0.4700 (0.0499) #>  250 Exponential 0.9800 (0.0140) 0.9900 (0.0099) 0.9900 (0.0099) #>  250     Weibull 0.9700 (0.0171) 0.8600 (0.0347) 0.9700 (0.0171)"},{"path":"https://ellessenne.github.io/rsimsum/articles/C-plotting.html","id":"scatter-plots","dir":"Articles","previous_headings":"","what":"Scatter plots","title":"Visualising results from rsimsum","text":"Scatter plots allow assess serial trends estimates standard errors. instance, want compare point estimates different methods (across data-generating mechanisms):  Analogously, want compare standard errors:  two plot types allow comparing estimates (standard errors) obtained different methods ease; ideal settings, points scatterplots lay diagonal (dashed line). estimated regression line (X vs Y, blue line) superimposed default ease comparison even . addition plots comparing estimates standard errors, Bland-Altman-type plots supported well:  Bland-Altman plots compare difference estimates two competing methods (y-axis) mean estimates two methods (x-axis). ideal scenario, trend points scatter plot lay around horizontal dashed line. ease comparison, regression line included well. Bland-Altman plots standard errors obtained setting argument type = \"se_ba\".","code":"autoplot(s1, type = \"est\") #> `geom_smooth()` using formula = 'y ~ x' autoplot(s1, type = \"se\") #> `geom_smooth()` using formula = 'y ~ x' autoplot(s1, type = \"est_ba\") #> `geom_smooth()` using formula = 'y ~ x'"},{"path":"https://ellessenne.github.io/rsimsum/articles/C-plotting.html","id":"ridgeline-plots","dir":"Articles","previous_headings":"Scatter plots","what":"Ridgeline plots","title":"Visualising results from rsimsum","text":"Another way visually comparing estimates different methods given ridgeline plots. According documentation ggridges package (source), Ridgeline plots partially overlapping line plots create impression mountain range. can quite useful visualizing changes distributions time space. settings simulation studies, aim visualise changes distribution data-generating mechanisms. instance, say want compare estimates across data-generating mechanisms methods:  allows us see estimates Exp method different methods two four data-generating mechanisms: 50, Weibull 250, Weibull. obtain similar plot standard errors, call autoplot method type = \"se_ridge instead.","code":"autoplot(s1, type = \"est_ridge\") #> Picking joint bandwidth of 0.077"},{"path":"https://ellessenne.github.io/rsimsum/articles/C-plotting.html","id":"lolly-plots","dir":"Articles","previous_headings":"","what":"Lolly plots","title":"Visualising results from rsimsum","text":"Lolly plots used present estimates given summary statistic confidence intervals based Monte Carlo standard errors (calling autoplot method summary objects). allow easily compare methods. Say interested bias:  straightforward identify exponential model yielding biased results true baseline hazard Weibull, irrespectively sample size. relative scale, can plot relative bias well:  confidence intervals based Monte Carlo errors required, sufficient call autoplot method simsum object:  Analogously, coverage:","code":"autoplot(summary(s1), type = \"lolly\", stats = \"bias\") autoplot(summary(s1), type = \"lolly\", stats = \"rbias\") autoplot(s1, type = \"lolly\", stats = \"bias\") autoplot(summary(s1), type = \"lolly\", stats = \"cover\")"},{"path":"https://ellessenne.github.io/rsimsum/articles/C-plotting.html","id":"forest-plots","dir":"Articles","previous_headings":"","what":"Forest plots","title":"Visualising results from rsimsum","text":"Forest plots alternative lolly plots, similar interpretation:","code":"autoplot(s1, type = \"forest\", stats = \"bias\") autoplot(summary(s1), type = \"forest\", stats = \"bias\")"},{"path":"https://ellessenne.github.io/rsimsum/articles/C-plotting.html","id":"zipper-plots","dir":"Articles","previous_headings":"","what":"Zipper plots","title":"Visualising results from rsimsum","text":"Zipper plots (zip plots), introduced Morris et al. (2019), help understand coverage visualising confidence intervals directly. data-generating mechanism method, confidence intervals centile-ranked according significance null hypothesis \\(H_0: \\theta\\) = \\(\\theta_{\\text{true}}\\), assessed via Wald-type test. ranking used vertical axis plotted intervals . method 95% coverage, colour intervals switches 95 vertical axis. Finally, horizontal lines represent confidence intervals estimated coverage based Monte Carlo standard errors.  zipper plot exponential model n = 50 true Weibull baseline hazard shows coverage approximately 95%; however, intervals right \\(\\theta\\) = -0.50 left: indicates model standard errors must overestimating empirical standard error, coverage appropriate despite bias. also possible zoom top x% zip plot increase readability, e.g. top 30%:","code":"autoplot(s1, type = \"zip\") autoplot(s1, type = \"zip\", zoom = 0.3)"},{"path":"https://ellessenne.github.io/rsimsum/articles/C-plotting.html","id":"heat-plots","dir":"Articles","previous_headings":"","what":"Heat plots","title":"Visualising results from rsimsum","text":"Heat plots new visualisation suggest include first time. heat plots, produce heat-map-like plot filling tile represents given summary statistic, say bias:  visualisation type automatically puts data-generating mechanisms y-axis; default, methods included x axis. Therefore, plot useful simulation study includes different methods compared many data-generating mechanisms. Using heat plot, immediate identify visually method performs better data-generating mechanisms. default, heat plots use default ggplot scale filling aesthetic. recommended use different colour palette better characteristics, e.g. viridis colour palette matplotlib; see next section details , details viridis colour palette.","code":"autoplot(s1, type = \"heat\", stats = \"bias\")"},{"path":"https://ellessenne.github.io/rsimsum/articles/C-plotting.html","id":"contour-plots-and-hexbin-plots","dir":"Articles","previous_headings":"","what":"Contour plots and hexbin plots","title":"Visualising results from rsimsum","text":"Individual point estimates standard errors also plotted using contour plots hexbin plots. Contour plots represent 3-dimensional surface plotting constant z slices (called contours) 2-dimensional format. , given value z, lines drawn connecting (x, y) coordinates value z (relatively) homogenous. Hexbin plots useful represent relationship 2 numerical variables lot data points: instead overlapping, plotting window split several hexbins, number points per hexbin counted. colour filling denotes number points. plots provide alternative scatter plots large number data points overlap. Contour plots hexbin plots can easily obtained using autoplot method , using argument type = \"est_density\", type = \"se_density\", type = \"est_hex\", type = \"se_hex\". instance, focussing point estimates:   course, analogous plots obtained standard errors.","code":"autoplot(s1, type = \"est_density\") #> `geom_smooth()` using formula = 'y ~ x' autoplot(s1, type = \"est_hex\") #> `geom_smooth()` using formula = 'y ~ x'"},{"path":"https://ellessenne.github.io/rsimsum/articles/C-plotting.html","id":"custom-plotting","dir":"Articles","previous_headings":"","what":"Custom plotting","title":"Visualising results from rsimsum","text":"plots produced rsimsum meant quick explorations results Monte Carlo simulation studies: meant final manuscript-like-quality plots (although can useful starting point). Generally, output types autoplot calls ggplot objects; hence, generally straightforward customise plots. instance, say want add custom theme:  Compare default plot:  also mentioned colour palette heat plots customised. Say want use default viridis colour palette:  Analogously, say want customise colour palette ridgeline plots, using viridis colour palette:","code":"autoplot(summary(s1), type = \"lolly\", stats = \"bias\") +   ggplot2::theme_bw() autoplot(summary(s1), type = \"lolly\", stats = \"bias\") autoplot(s1, type = \"heat\", stats = \"bias\") +   ggplot2::scale_fill_viridis_c() autoplot(s1, type = \"est_ridge\") +   scale_fill_viridis_d() +   scale_colour_viridis_d() #> Picking joint bandwidth of 0.077"},{"path":"https://ellessenne.github.io/rsimsum/articles/D-nlp.html","id":"references","dir":"Articles","previous_headings":"","what":"References","title":"Nested loop plots","text":"Rücker, G. Schwarzer, G. 2014 Presenting simulation results nested loop plot. BMC Medical Research Methodology 14(1) ","code":""},{"path":"https://ellessenne.github.io/rsimsum/articles/E-custom-inputs.html","id":"single-estimand","dir":"Articles","previous_headings":"","what":"Single Estimand","title":"Custom input values for confidence intervals and true values","text":"rsimsum supports custom input values true value estimand confidence intervals limits (used calculate coverage probability). illustrate feature, can use tt dataset (bundled rsimsum): includes results simulation study assessing robustness t-test estimating difference means. t-test assumes t distribution, hence confidence intervals estimated mean generally based t distribution. See instance example t-test documentation (?t.test): can incorporate custom confidence intervals passing name two columns data ci.limits argument: , can incorporate different types confidence intervals analysis Monte Carlo simulation studies. Compare default setting: ci.limits also useful using non-symmetrical confidence intervals, e.g. using bootstrapped confidence intervals. pair values can also passed rsimsum ci.limits argument: better example utility method please get touch: ’d love hear ! default, simsum calculate confidence intervals using normal-theory, Wald-type intervals. possible use t-based critical values providing column (replication-specific) degrees freedom (analogously passing confidence bounds ci.limits): Given confidence intervals (conf.low, conf.high) obtained using critical values t distribution, results s4 equivalent results s1: can pass column values true well: Compare default settings: Finally, multiple columns identifying methods well. uses MIsim MIsim2 datasets, bundled {rsimsum}: syntax calling simsum() pretty much : See inferred methods: course, estimated performance measures :","code":"library(rsimsum) data(\"tt\", package = \"rsimsum\") head(tt) #>        diff       se  conf.low   conf.high       df repno dgm method #> 1 -2.185467 1.130916 -4.432925  0.06199072 88.00000     1   1      1 #> 2 -3.359683 1.572366 -6.484430 -0.23493506 88.00000     1   2      1 #> 3 -2.185467 1.285290 -4.778318  0.40738411 42.53603     1   1      2 #> 4 -3.359683 2.016465 -7.458611  0.73924596 33.78117     1   2      2 #> 5 -2.989333 1.150093 -5.274900 -0.70376532 88.00000     1   3      1 #> 6 -1.152852 1.368553 -3.872563  1.56685875 88.00000     1   4      1 t.test(extra ~ group, data = sleep) #>  #>  Welch Two Sample t-test #>  #> data:  extra by group #> t = -1.8608, df = 17.776, p-value = 0.07939 #> alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0 #> 95 percent confidence interval: #>  -3.3654832  0.2054832 #> sample estimates: #> mean in group 1 mean in group 2  #>            0.75            2.33 s1 <- simsum(data = tt, estvarname = \"diff\", true = -1, se = \"se\", ci.limits = c(\"conf.low\", \"conf.high\"), methodvar = \"method\", by = \"dgm\") #> 'ref' method was not specified, 1 set as the reference summary(s1, stats = \"cover\") #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Coverage of nominal 95% confidence interval: #>  dgm               1               2 #>    1 0.9400 (0.0106) 0.9400 (0.0106) #>    2 0.8780 (0.0146) 0.9420 (0.0105) #>    3 0.9380 (0.0108) 0.9500 (0.0097) #>    4 0.9020 (0.0133) 0.9420 (0.0105) s2 <- simsum(data = tt, estvarname = \"diff\", true = -1, se = \"se\", methodvar = \"method\", by = \"dgm\") #> 'ref' method was not specified, 1 set as the reference summary(s2, stats = \"cover\") #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Coverage of nominal 95% confidence interval: #>  dgm               1               2 #>    1 0.9400 (0.0106) 0.9360 (0.0109) #>    2 0.8680 (0.0151) 0.9320 (0.0113) #>    3 0.9380 (0.0108) 0.9420 (0.0105) #>    4 0.8940 (0.0138) 0.9360 (0.0109) s3 <- simsum(data = tt, estvarname = \"diff\", true = -1, se = \"se\", ci.limits = c(-1.5, -0.5), methodvar = \"method\", by = \"dgm\") #> 'ref' method was not specified, 1 set as the reference summary(s3, stats = \"cover\") #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Coverage of nominal 95% confidence interval: #>  dgm               1               2 #>    1 1.0000 (0.0000) 1.0000 (0.0000) #>    2 1.0000 (0.0000) 1.0000 (0.0000) #>    3 1.0000 (0.0000) 1.0000 (0.0000) #>    4 1.0000 (0.0000) 1.0000 (0.0000) s4 <- simsum(data = tt, estvarname = \"diff\", true = -1, se = \"se\", df = \"df\", methodvar = \"method\", by = \"dgm\") #> 'ref' method was not specified, 1 set as the reference all.equal(tidy(s1), tidy(s4)) #> [1] TRUE tt$true <- -1 s5 <- simsum(data = tt, estvarname = \"diff\", true = \"true\", se = \"se\", ci.limits = c(\"conf.low\", \"conf.high\"), methodvar = \"method\", by = \"dgm\") #> 'ref' method was not specified, 1 set as the reference summary(s5, stats = \"cover\") #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Coverage of nominal 95% confidence interval: #>  dgm               1               2 #>    1 0.9400 (0.0106) 0.9400 (0.0106) #>    2 0.8780 (0.0146) 0.9420 (0.0105) #>    3 0.9380 (0.0108) 0.9500 (0.0097) #>    4 0.9020 (0.0133) 0.9420 (0.0105) summary(s2, stats = \"cover\") #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Coverage of nominal 95% confidence interval: #>  dgm               1               2 #>    1 0.9400 (0.0106) 0.9360 (0.0109) #>    2 0.8680 (0.0151) 0.9320 (0.0113) #>    3 0.9380 (0.0108) 0.9420 (0.0105) #>    4 0.8940 (0.0138) 0.9360 (0.0109) data(\"MIsim\", package = \"rsimsum\") data(\"MIsim2\", package = \"rsimsum\") head(MIsim) #> # A tibble: 6 × 4 #>   dataset method      b    se #>           #> 1       1 CC      0.707 0.147 #> 2       1 MI_T    0.684 0.126 #> 3       1 MI_LOGT 0.712 0.141 #> 4       2 CC      0.349 0.160 #> 5       2 MI_T    0.406 0.141 #> 6       2 MI_LOGT 0.429 0.136 head(MIsim2) #> # A tibble: 6 × 5 #>   dataset m1    m2         b    se #>           #> 1       1 CC    \"\"     0.707 0.147 #> 2       1 MI    \"T\"    0.684 0.126 #> 3       1 MI    \"LOGT\" 0.712 0.141 #> 4       2 CC    \"\"     0.349 0.160 #> 5       2 MI    \"T\"    0.406 0.141 #> 6       2 MI    \"LOGT\" 0.429 0.136 s6 <- simsum(data = MIsim, estvarname = \"b\", true = 0.50, se = \"se\", methodvar = \"method\") #> 'ref' method was not specified, CC set as the reference s7 <- simsum(data = MIsim2, estvarname = \"b\", true = 0.50, se = \"se\", methodvar = c(\"m1\", \"m2\")) #> 'ref' method was not specified, CC: set as the reference print(s6) #> Summary of a simulation study with a single estimand. #> True value of the estimand: 0.5  #>  #> Method variable: method  #>  Unique methods: CC, MI_LOGT, MI_T  #>  Reference method: CC  #>  #> By factors: none #>  #> Monte Carlo standard errors were computed. print(s7) #> Summary of a simulation study with a single estimand. #> True value of the estimand: 0.5  #>  #> Columns identifying methods: m1, m2  #>  Unique methods: CC:, MI:LOGT, MI:T  #>  #> By factors: none #>  #> Monte Carlo standard errors were computed. all.equal(tidy(s6)$est, tidy(s7)$est) #> [1] TRUE"},{"path":"https://ellessenne.github.io/rsimsum/articles/E-custom-inputs.html","id":"multiple-estimands-at-once","dir":"Articles","previous_headings":"","what":"Multiple Estimands at Once","title":"Custom input values for confidence intervals and true values","text":"multisimsum can flexible simsum. Remember default behaviour: example, pass true values estimand named vector c(trt = -0.50, fv = 0.75). Say instead stored true value estimand column dataset: data structure, can pass string value multisimsum identify true column dataset: can confirm obtain results two approaches: approach particularly useful true value might vary across replications (e.g. depends simulated dataset). course, can combined custom confidence interval limits coverage well: completely different : Multiple columns identifying methods supported multisimsum() well; examples omitted , works analogously simsum().","code":"data(\"frailty\", package = \"rsimsum\") ms1 <- multisimsum(   data = frailty,   par = \"par\", true = c(trt = -0.50, fv = 0.75),   estvarname = \"b\", se = \"se\", methodvar = \"model\",   by = \"fv_dist\" ) #> 'ref' method was not specified, Cox, Gamma set as the reference summary(ms1, stats = \"bias\") #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #>     #> Parameter: fv  #>  #> Bias in point estimate: #>     fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma RP(P), Log-Normal #>       Gamma -0.0124 (0.0045)  0.2299 (0.0076) -0.0179 (0.0044)   0.2347 (0.0077) #>  Log-Normal -0.1064 (0.0043) -0.0175 (0.0049) -0.1066 (0.0041)  -0.0152 (0.0050) #>  #>  ------------------------------------------------------------------------------------------------------------------------------------------------------  #>   #> Parameter: trt  #>  #> Bias in point estimate: #>     fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma RP(P), Log-Normal #>       Gamma -0.0006 (0.0016) -0.0013 (0.0016) -0.0003 (0.0016)  -0.0015 (0.0016) #>  Log-Normal -0.0006 (0.0015) -0.0014 (0.0015) -0.0006 (0.0015)  -0.0016 (0.0015) frailty$true <- ifelse(frailty$par == \"trt\", -0.50, 0.75) head(frailty) #>   i         b        se par    fv_dist             model true #> 1 1 0.6569546 0.1256964  fv      Gamma        Cox, Gamma 0.75 #> 2 1 0.8396248 0.1663368  fv      Gamma   Cox, Log-Normal 0.75 #> 3 1 0.6583130 0.1260354  fv      Gamma      RP(P), Gamma 0.75 #> 4 1 0.8410503 0.1804898  fv      Gamma RP(P), Log-Normal 0.75 #> 5 1 0.6394722 0.1223808  fv Log-Normal        Cox, Gamma 0.75 #> 6 1 0.7573628 0.1235062  fv Log-Normal   Cox, Log-Normal 0.75 ms2 <- multisimsum(   data = frailty,   par = \"par\", true = \"true\",   estvarname = \"b\", se = \"se\", methodvar = \"model\",   by = \"fv_dist\" ) #> 'ref' method was not specified, Cox, Gamma set as the reference summary(ms2, stats = \"bias\") #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #>     #> Parameter: fv  #>  #> Bias in point estimate: #>     fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma RP(P), Log-Normal #>       Gamma -0.0124 (0.0045)  0.2299 (0.0076) -0.0179 (0.0044)   0.2347 (0.0077) #>  Log-Normal -0.1064 (0.0043) -0.0175 (0.0049) -0.1066 (0.0041)  -0.0152 (0.0050) #>  #>  ------------------------------------------------------------------------------------------------------------------------------------------------------  #>   #> Parameter: trt  #>  #> Bias in point estimate: #>     fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma RP(P), Log-Normal #>       Gamma -0.0006 (0.0016) -0.0013 (0.0016) -0.0003 (0.0016)  -0.0015 (0.0016) #>  Log-Normal -0.0006 (0.0015) -0.0014 (0.0015) -0.0006 (0.0015)  -0.0016 (0.0015) identical(tidy(ms1), tidy(ms2)) #> [1] TRUE frailty$conf.low <- frailty$b - qt(1 - 0.05 / 2, df = 10) * frailty$se frailty$conf.high <- frailty$b + qt(1 - 0.05 / 2, df = 10) * frailty$se  ms3 <- multisimsum(   data = frailty,   par = \"par\", true = \"true\",   estvarname = \"b\", se = \"se\", methodvar = \"model\",   by = \"fv_dist\",   ci.limits = c(\"conf.low\", \"conf.high\") ) #> 'ref' method was not specified, Cox, Gamma set as the reference summary(ms3, stats = \"cover\") #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #>     #> Parameter: fv  #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.9477 (0.0071) 0.9680 (0.0056) 0.9516 (0.0069)   0.9640 (0.0059) #>  Log-Normal 0.8046 (0.0128) 0.9330 (0.0079) 0.8235 (0.0121)   0.9460 (0.0071) #>  #>  ------------------------------------------------------------------------------------------------------------------------------------------------------  #>   #> Parameter: trt  #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.9730 (0.0051) 0.9710 (0.0053) 0.9732 (0.0052)   0.9710 (0.0053) #>  Log-Normal 0.9710 (0.0053) 0.9690 (0.0055) 0.9719 (0.0052)   0.9690 (0.0055) summary(ms2, stats = \"cover\") #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #>     #> Parameter: fv  #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.9201 (0.0087) 0.9220 (0.0085) 0.9300 (0.0082)   0.9030 (0.0094) #>  Log-Normal 0.7503 (0.0140) 0.9020 (0.0094) 0.7683 (0.0134)   0.9280 (0.0082) #>  #>  ------------------------------------------------------------------------------------------------------------------------------------------------------  #>   #> Parameter: trt  #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.9500 (0.0069) 0.9490 (0.0070) 0.9506 (0.0070)   0.9500 (0.0069) #>  Log-Normal 0.9410 (0.0075) 0.9420 (0.0074) 0.9428 (0.0074)   0.9430 (0.0073)"},{"path":"https://ellessenne.github.io/rsimsum/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Alessandro Gasparini. Author, maintainer. Ian R. White. Author.","code":""},{"path":"https://ellessenne.github.io/rsimsum/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Gasparini, (2018). rsimsum: Summarise results Monte Carlo simulation studies. Journal Open Source Software, 3(26), 739, https://doi.org/10.21105/joss.00739","code":"@Article{,   author = {Alessandro Gasparini},   title = {rsimsum: Summarise results from Monte Carlo simulation studies},   journal = {Journal of Open Source Software},   year = {2018},   volume = {3},   issue = {26},   pages = {739},   doi = {10.21105/joss.00739},   url = {https://doi.org/10.21105/joss.00739}, }"},{"path":"https://ellessenne.github.io/rsimsum/index.html","id":"rsimsum-","dir":"","previous_headings":"","what":"Analysis of Simulation Studies Including Monte Carlo Error","title":"Analysis of Simulation Studies Including Monte Carlo Error","text":"rsimsum R package can compute summary statistics simulation studies. rsimsum modelled upon similar package available Stata, user-written command simsum (White .R., 2010). aim rsimsum help report simulation studies, including understanding role chance results simulation studies: Monte Carlo standard errors confidence intervals based computed presented user default. rsimsum can compute wide variety summary statistics: bias, empirical model-based standard errors, relative precision, relative error model standard error, mean squared error, coverage, bias. details summary statistic presented elsewhere (White .R., 2010; Morris et al, 2019). main function rsimsum called simsum can handle simulation studies single estimand interest time. Missing values excluded default, possible define boundary values drop estimated values standard errors exceeding limits. possible define variable representing methods compared simulation study, possible define factors, , factors vary different simulated scenarios (data-generating mechanisms, DGMs). However, methods DGMs strictly required: case, simulation study single scenario single method assumed. Finally, rsimsum provides function named multisimsum allows summarising simulation studies multiple estimands well. important step reporting simulation study consists visualising results; therefore, rsimsum exploits R package ggplot2 produce portfolio opinionated data visualisations quick exploration results, inferring colours facetting data-generating mechanisms. rsimsum includes methods produce (1) plots summary statistics confidence intervals based Monte Carlo standard errors (forest plots, lolly plots), (2) zipper plots graphically visualise coverage directly plotting confidence intervals, (3) plots method-wise comparisons estimates standard errors (scatter plots, Bland-Altman plots, ridgeline plots), (4) heat plots. latter visualisation type traditionally used present results simulation studies, consists mosaic plot factor x-axis methods compared current simulation study factor y-axis data-generating factors. tile mosaic plot coloured according value summary statistic interest, red colour representing values target value blue colour representing values target.","code":""},{"path":"https://ellessenne.github.io/rsimsum/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Analysis of Simulation Studies Including Monte Carlo Error","text":"can install rsimsum CRAN: Alternatively, possible install development version GitHub using remotes package:","code":"install.packages(\"rsimsum\") # install.packages(\"remotes\") remotes::install_github(\"ellessenne/rsimsum\")"},{"path":"https://ellessenne.github.io/rsimsum/index.html","id":"example","dir":"","previous_headings":"","what":"Example","title":"Analysis of Simulation Studies Including Monte Carlo Error","text":"basic example using data simulation study missing data (type help(\"MIsim\", package = \"rsimsum\") R console information): set x = TRUE required plot types. Summarising results:","code":"library(rsimsum) data(\"MIsim\", package = \"rsimsum\") s <- simsum(data = MIsim, estvarname = \"b\", true = 0.5, se = \"se\", methodvar = \"method\", x = TRUE) #> 'ref' method was not specified, CC set as the reference s #> Summary of a simulation study with a single estimand. #> True value of the estimand: 0.5  #>  #> Method variable: method  #>  Unique methods: CC, MI_LOGT, MI_T  #>  Reference method: CC  #>  #> By factors: none #>  #> Monte Carlo standard errors were computed. summary(s) #> Values are: #>  Point Estimate (Monte Carlo Standard Error) #>  #> Non-missing point estimates/standard errors: #>    CC MI_LOGT MI_T #>  1000    1000 1000 #>  #> Average point estimate: #>      CC MI_LOGT   MI_T #>  0.5168  0.5009 0.4988 #>  #> Median point estimate: #>      CC MI_LOGT   MI_T #>  0.5070  0.4969 0.4939 #>  #> Average variance: #>      CC MI_LOGT   MI_T #>  0.0216  0.0182 0.0179 #>  #> Median variance: #>      CC MI_LOGT   MI_T #>  0.0211  0.0172 0.0169 #>  #> Bias in point estimate: #>               CC         MI_LOGT             MI_T #>  0.0168 (0.0048) 0.0009 (0.0042) -0.0012 (0.0043) #>  #> Relative bias in point estimate: #>               CC         MI_LOGT             MI_T #>  0.0335 (0.0096) 0.0018 (0.0083) -0.0024 (0.0085) #>  #> Empirical standard error: #>               CC         MI_LOGT            MI_T #>  0.1511 (0.0034) 0.1320 (0.0030) 0.1344 (0.0030) #>  #> % gain in precision relative to method CC: #>               CC          MI_LOGT             MI_T #>  0.0000 (0.0000) 31.0463 (3.9375) 26.3682 (3.8424) #>  #> Mean squared error: #>               CC         MI_LOGT            MI_T #>  0.0231 (0.0011) 0.0174 (0.0009) 0.0181 (0.0009) #>  #> Model-based standard error: #>               CC         MI_LOGT            MI_T #>  0.1471 (0.0005) 0.1349 (0.0006) 0.1338 (0.0006) #>  #> Relative % error in standard error: #>                CC         MI_LOGT             MI_T #>  -2.6594 (2.2055) 2.2233 (2.3323) -0.4412 (2.2695) #>  #> Coverage of nominal 95% confidence interval: #>               CC         MI_LOGT            MI_T #>  0.9430 (0.0073) 0.9490 (0.0070) 0.9430 (0.0073) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>               CC         MI_LOGT            MI_T #>  0.9400 (0.0075) 0.9490 (0.0070) 0.9430 (0.0073) #>  #> Power of 5% level test: #>               CC         MI_LOGT            MI_T #>  0.9460 (0.0071) 0.9690 (0.0055) 0.9630 (0.0060)"},{"path":"https://ellessenne.github.io/rsimsum/index.html","id":"vignettes","dir":"","previous_headings":"","what":"Vignettes","title":"Analysis of Simulation Studies Including Monte Carlo Error","text":"rsimsum comes 5 vignettes. particular, check introductory one: list vignettes obtained typing following R console:","code":"vignette(topic = \"A-introduction\", package = \"rsimsum\") vignette(package = \"rsimsum\")"},{"path":"https://ellessenne.github.io/rsimsum/index.html","id":"visualising-results","dir":"","previous_headings":"","what":"Visualising results","title":"Analysis of Simulation Studies Including Monte Carlo Error","text":"version 0.2.0, rsimsum can produce variety plots: among others, lolly plots, forest plots, zipper plots, etc.:   rsimsum 0.5.0 plotting functionality completely rewritten, new plot types implemented: Scatter plots method-wise comparisons, including Bland-Altman type plots;  Ridgeline plots.  Nested loop plots implemented rsimsum 0.6.0:  Finally, rsimsum 0.7.1 contour plots hexbin plots implemented well:   provide useful alternative several data points large overlap (e.g. scatterplot). plotting functionality now extend S3 generic autoplot: see ?ggplot2::autoplot ?rsimsum::autoplot.simsum details. details information can found vignettes dedicated plotting:","code":"library(ggplot2) autoplot(s, type = \"lolly\", stats = \"bias\") autoplot(s, type = \"zip\") autoplot(s, type = \"est_ba\") #> `geom_smooth()` using formula = 'y ~ x' autoplot(s, type = \"est_ridge\") #> Picking joint bandwidth of 0.0295 data(\"nlp\", package = \"rsimsum\") s.nlp <- rsimsum::simsum(   data = nlp, estvarname = \"b\", true = 0, se = \"se\",   methodvar = \"model\", by = c(\"baseline\", \"ss\", \"esigma\") ) #> 'ref' method was not specified, 1 set as the reference autoplot(s.nlp, stats = \"bias\", type = \"nlp\") autoplot(s, type = \"est_density\") #> `geom_smooth()` using formula = 'y ~ x' autoplot(s, type = \"est_hex\") #> `geom_smooth()` using formula = 'y ~ x' vignette(topic = \"C-plotting\", package = \"rsimsum\") vignette(topic = \"D-nlp\", package = \"rsimsum\")"},{"path":"https://ellessenne.github.io/rsimsum/index.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Analysis of Simulation Studies Including Monte Carlo Error","text":"find rsimsum useful, please cite publications:","code":"citation(\"rsimsum\") #> To cite package 'rsimsum' in publications use: #>  #>   Gasparini, (2018). rsimsum: Summarise results from Monte Carlo simulation studies. #>   Journal of Open Source Software, 3(26), 739, https://doi.org/10.21105/joss.00739 #>  #> A BibTeX entry for LaTeX users is #>  #>   @Article{, #>     author = {Alessandro Gasparini}, #>     title = {rsimsum: Summarise results from Monte Carlo simulation studies}, #>     journal = {Journal of Open Source Software}, #>     year = {2018}, #>     volume = {3}, #>     issue = {26}, #>     pages = {739}, #>     doi = {10.21105/joss.00739}, #>     url = {https://doi.org/10.21105/joss.00739}, #>   }"},{"path":"https://ellessenne.github.io/rsimsum/index.html","id":"references","dir":"","previous_headings":"","what":"References","title":"Analysis of Simulation Studies Including Monte Carlo Error","text":"White, .R. 2010. simsum: Analyses simulation studies including Monte Carlo error. Stata Journal, 10(3): 369-385 Morris, T.P., White, .R. Crowther, M.J. 2019. Using simulation studies evaluate statistical methods. Statistics Medicine, 38: 2074-2102 Gasparini, . 2018. rsimsum: Summarise results Monte Carlo simulation studies. Journal Open Source Software, 3(26):739","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/MIsim.html","id":null,"dir":"Reference","previous_headings":"","what":"Example of a simulation study on missing data — MIsim","title":"Example of a simulation study on missing data — MIsim","text":"dataset simulation study comparing different ways handle missing covariates fitting Cox model (White Royston, 2009). One thousand datasets simulated, containing normally distributed covariates \\(x\\) \\(z\\) time--event outcome. covariates 20\\ simulated dataset analysed three ways. Cox model fit complete cases (CC). two methods multiple imputation using chained equations (van Buuren, Boshuizen, Knook, 1999) used. MI_LOGT method multiply imputes missing values \\(x\\) \\(z\\) outcome included \\(\\log (t)\\) \\(d\\), \\(t\\) survival time \\(d\\) event indicator. MI_T method except \\(\\log (t)\\) replaced \\(t\\) imputation model. results stored long format.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/MIsim.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Example of a simulation study on missing data — MIsim","text":"","code":"MIsim  MIsim2"},{"path":"https://ellessenne.github.io/rsimsum/reference/MIsim.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Example of a simulation study on missing data — MIsim","text":"data frame 3,000 rows 4 variables: dataset Simulated dataset number. method Method used (CC, MI_LOGT MI_T). b Point estimate. se Standard error point estimate. object class tbl_df (inherits tbl, data.frame) 3000 rows 5 columns.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/MIsim.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Example of a simulation study on missing data — MIsim","text":"MIsim2 version dataset method column split two columns, m1 m2.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/MIsim.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Example of a simulation study on missing data — MIsim","text":"White, .R., P. Royston. 2009. Imputing missing covariate values Cox model. Statistics Medicine 28(15):1982-1998 doi:10.1002/sim.3618","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/MIsim.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Example of a simulation study on missing data — MIsim","text":"","code":"data(\"MIsim\", package = \"rsimsum\") data(\"MIsim2\", package = \"rsimsum\")"},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.multisimsum.html","id":null,"dir":"Reference","previous_headings":"","what":"autoplot method for multisimsum objects — autoplot.multisimsum","title":"autoplot method for multisimsum objects — autoplot.multisimsum","text":"autoplot can produce series plot summarise results simulation studies. See vignette(\"C-plotting\", package = \"rsimsum\") details.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.multisimsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"autoplot method for multisimsum objects — autoplot.multisimsum","text":"","code":"# S3 method for multisimsum autoplot(   object,   par,   type = \"forest\",   stats = \"nsim\",   target = NULL,   fitted = TRUE,   scales = \"fixed\",   top = TRUE,   density.legend = TRUE,   zoom = 1,   ... )"},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.multisimsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"autoplot method for multisimsum objects — autoplot.multisimsum","text":"object object class multisimsum. par parameter results plot. type type plot produced. Possible choices : forest, lolly, zip, est, se, est_ba, se_ba, est_density, se_density, est_hex, se_hex, est_ridge, se_ridge, heat, nlp, forest default. stats Summary statistic plot, defaults bias. See summary.simsum() details supported summary statistics. target Target summary statistic, e.g. 0 bias. Defaults NULL, case target inferred. fitted Superimpose fitted regression line, useful type = (est, se, est_ba, se_ba, est_density, se_density, est_hex, se_hex). Defaults TRUE. scales scales fixed (fixed, default), free (free), free one dimension (free_x, free_y)? top legend nested loop plot top side plot? Defaults TRUE. density.legend legend density hexbin plots included? Defaults TRUE. zoom numeric value 0 1 signalling zip plot zoom top x% plot (ease interpretation). Defaults 1, whole zip plot displayed. ... used.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.multisimsum.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"autoplot method for multisimsum objects — autoplot.multisimsum","text":"ggplot object.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.multisimsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"autoplot method for multisimsum objects — autoplot.multisimsum","text":"","code":"data(\"frailty\", package = \"rsimsum\") ms <- multisimsum(   data = frailty,   par = \"par\", true = c(trt = -0.50, fv = 0.75),   estvarname = \"b\", se = \"se\", methodvar = \"model\",   by = \"fv_dist\", x = TRUE ) #> 'ref' method was not specified, Cox, Gamma set as the reference  library(ggplot2) autoplot(ms, par = \"trt\")  autoplot(ms, par = \"trt\", type = \"lolly\", stats = \"cover\")  autoplot(ms, par = \"trt\", type = \"zip\") #> Warning: Removed 32 rows containing missing values (`geom_segment()`).  autoplot(ms, par = \"trt\", type = \"est_ba\") #> `geom_smooth()` using formula = 'y ~ x' #> Warning: Removed 96 rows containing non-finite values (`stat_smooth()`). #> Warning: Removed 96 rows containing missing values (`geom_point()`)."},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.simsum.html","id":null,"dir":"Reference","previous_headings":"","what":"autoplot method for simsum objects — autoplot.simsum","title":"autoplot method for simsum objects — autoplot.simsum","text":"autoplot can produce series plot summarise results simulation studies. See vignette(\"C-plotting\", package = \"rsimsum\") details.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.simsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"autoplot method for simsum objects — autoplot.simsum","text":"","code":"# S3 method for simsum autoplot(   object,   type = \"forest\",   stats = \"nsim\",   target = NULL,   fitted = TRUE,   scales = \"fixed\",   top = TRUE,   density.legend = TRUE,   zoom = 1,   ... )"},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.simsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"autoplot method for simsum objects — autoplot.simsum","text":"object object class simsum. type type plot produced. Possible choices : forest, lolly, zip, est, se, est_ba, se_ba, est_ridge, se_ridge, est_density, se_density, est_hex, se_hex, heat, nlp, forest default. stats Summary statistic plot, defaults nsim (number replications non-missing point estimates/SEs). See summary.simsum() details supported summary statistics. target Target summary statistic, e.g. 0 bias. Defaults NULL, case target inferred. fitted Superimpose fitted regression line, useful type = (est, se, est_ba, se_ba, est_density, se_density, est_hex, se_hex). Defaults TRUE. scales scales fixed (fixed, default), free (free), free one dimension (free_x, free_y)? top legend nested loop plot top side plot? Defaults TRUE. density.legend legend density hexbin plots included? Defaults TRUE. zoom numeric value 0 1 signalling zip plot zoom top x% plot (ease interpretation). Defaults 1, whole zip plot displayed. ... used.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.simsum.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"autoplot method for simsum objects — autoplot.simsum","text":"ggplot object.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.simsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"autoplot method for simsum objects — autoplot.simsum","text":"","code":"data(\"MIsim\", package = \"rsimsum\") s <- rsimsum::simsum(   data = MIsim, estvarname = \"b\", true = 0.5, se = \"se\",   methodvar = \"method\", x = TRUE ) #> 'ref' method was not specified, CC set as the reference  library(ggplot2) autoplot(s)  autoplot(s, type = \"lolly\")  autoplot(s, type = \"est_hex\") #> `geom_smooth()` using formula = 'y ~ x'  autoplot(s, type = \"zip\", zoom = 0.5)   # Nested loop plot: data(\"nlp\", package = \"rsimsum\") s1 <- rsimsum::simsum(   data = nlp, estvarname = \"b\", true = 0, se = \"se\",   methodvar = \"model\", by = c(\"baseline\", \"ss\", \"esigma\") ) #> 'ref' method was not specified, 1 set as the reference autoplot(s1, stats = \"bias\", type = \"nlp\")"},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.summary.multisimsum.html","id":null,"dir":"Reference","previous_headings":"","what":"autoplot method for summary.multisimsum objects — autoplot.summary.multisimsum","title":"autoplot method for summary.multisimsum objects — autoplot.summary.multisimsum","text":"autoplot method summary.multisimsum objects","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.summary.multisimsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"autoplot method for summary.multisimsum objects — autoplot.summary.multisimsum","text":"","code":"# S3 method for summary.multisimsum autoplot(   object,   par,   type = \"forest\",   stats = \"nsim\",   target = NULL,   fitted = TRUE,   scales = \"fixed\",   top = TRUE,   density.legend = TRUE,   zoom = 1,   ... )"},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.summary.multisimsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"autoplot method for summary.multisimsum objects — autoplot.summary.multisimsum","text":"object object class summary.multisimsum. par parameter results plot. type type plot produced. Possible choices : forest, lolly, zip, est, se, est_ba, se_ba, est_density, se_density, est_hex, se_hex, est_ridge, se_ridge, heat, nlp, forest default. stats Summary statistic plot, defaults bias. See summary.simsum() details supported summary statistics. target Target summary statistic, e.g. 0 bias. Defaults NULL, case target inferred. fitted Superimpose fitted regression line, useful type = (est, se, est_ba, se_ba, est_density, se_density, est_hex, se_hex). Defaults TRUE. scales scales fixed (fixed, default), free (free), free one dimension (free_x, free_y)? top legend nested loop plot top side plot? Defaults TRUE. density.legend legend density hexbin plots included? Defaults TRUE. zoom numeric value 0 1 signalling zip plot zoom top x% plot (ease interpretation). Defaults 1, whole zip plot displayed. ... used.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.summary.multisimsum.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"autoplot method for summary.multisimsum objects — autoplot.summary.multisimsum","text":"ggplot object.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.summary.multisimsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"autoplot method for summary.multisimsum objects — autoplot.summary.multisimsum","text":"","code":"data(\"frailty\", package = \"rsimsum\") ms <- multisimsum(   data = frailty,   par = \"par\", true = c(trt = -0.50, fv = 0.75),   estvarname = \"b\", se = \"se\", methodvar = \"model\",   by = \"fv_dist\", x = TRUE ) #> 'ref' method was not specified, Cox, Gamma set as the reference sms <- summary(ms)  library(ggplot2) autoplot(sms, par = \"trt\")"},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.summary.simsum.html","id":null,"dir":"Reference","previous_headings":"","what":"autoplot method for summary.simsum objects — autoplot.summary.simsum","title":"autoplot method for summary.simsum objects — autoplot.summary.simsum","text":"autoplot method summary.simsum objects","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.summary.simsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"autoplot method for summary.simsum objects — autoplot.summary.simsum","text":"","code":"# S3 method for summary.simsum autoplot(   object,   type = \"forest\",   stats = \"nsim\",   target = NULL,   fitted = TRUE,   scales = \"fixed\",   top = TRUE,   density.legend = TRUE,   zoom = 1,   ... )"},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.summary.simsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"autoplot method for summary.simsum objects — autoplot.summary.simsum","text":"object object class summary.simsum. type type plot produced. Possible choices : forest, lolly, zip, est, se, est_ba, se_ba, est_ridge, se_ridge, est_density, se_density, est_hex, se_hex, heat, nlp, forest default. stats Summary statistic plot, defaults nsim (number replications non-missing point estimates/SEs). See summary.simsum() details supported summary statistics. target Target summary statistic, e.g. 0 bias. Defaults NULL, case target inferred. fitted Superimpose fitted regression line, useful type = (est, se, est_ba, se_ba, est_density, se_density, est_hex, se_hex). Defaults TRUE. scales scales fixed (fixed, default), free (free), free one dimension (free_x, free_y)? top legend nested loop plot top side plot? Defaults TRUE. density.legend legend density hexbin plots included? Defaults TRUE. zoom numeric value 0 1 signalling zip plot zoom top x% plot (ease interpretation). Defaults 1, whole zip plot displayed. ... used.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.summary.simsum.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"autoplot method for summary.simsum objects — autoplot.summary.simsum","text":"ggplot object.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/autoplot.summary.simsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"autoplot method for summary.simsum objects — autoplot.summary.simsum","text":"","code":"data(\"MIsim\", package = \"rsimsum\") s <- rsimsum::simsum(   data = MIsim, estvarname = \"b\", true = 0.5, se = \"se\",   methodvar = \"method\", x = TRUE ) #> 'ref' method was not specified, CC set as the reference ss <- summary(s)  library(ggplot2) autoplot(ss)  autoplot(ss, type = \"lolly\") #> Warning: Removed 3 rows containing missing values (`geom_point()`). #> Warning: Removed 3 rows containing missing values (`geom_point()`)."},{"path":"https://ellessenne.github.io/rsimsum/reference/dropbig.html","id":null,"dir":"Reference","previous_headings":"","what":"Identify replications with large point estimates, standard errors — dropbig","title":"Identify replications with large point estimates, standard errors — dropbig","text":"dropbig useful identify replications large point estimates standard errors. Large values defined standardised values given threshold, defined calling dropbig. Regular standardisation using mean standard deviation implemented, well robust standardisation using median inter-quartile range. ,  standardisation process stratified data-generating mechanism factors defined.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/dropbig.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Identify replications with large point estimates, standard errors — dropbig","text":"","code":"dropbig(   data,   estvarname,   se = NULL,   methodvar = NULL,   by = NULL,   max = 10,   semax = 100,   robust = TRUE )"},{"path":"https://ellessenne.github.io/rsimsum/reference/dropbig.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Identify replications with large point estimates, standard errors — dropbig","text":"data data.frame variable names interpreted. tidy format, e.g. variable forms column observation forms row. estvarname name variable containing point estimates. se name variable containing standard errors point estimates. methodvar name variable containing methods compare. instance, methods models compared within simulation study. Can NULL. vector variable names compute performance measures list factors. Factors listed (potentially several) data-generating mechanisms used simulate data different scenarios (e.g. sample size, true distribution variable, etc.). Can NULL. max Specifies maximum acceptable absolute value point estimates, standardisation. Defaults 10. semax Specifies maximum acceptable absolute value standard error, standardisation. Defaults 100. robust Specifies whether use robust standardisation (using median inter-quartile range) rather normal standardisation (using mean standard deviation). Defaults TRUE.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/dropbig.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Identify replications with large point estimates, standard errors — dropbig","text":"data.frame given input additional column named .dropbig identifying rows classified large (.dropbig = TRUE) according specified criterion.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/dropbig.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Identify replications with large point estimates, standard errors — dropbig","text":"","code":"data(\"frailty\", package = \"rsimsum\") frailty2 <- subset(frailty, par == \"fv\")  # Using low values of max, semax for illustration purposes: dropbig(   data = frailty2, estvarname = \"b\", se = \"se\",   methodvar = \"model\", by = \"fv_dist\", max = 2, semax = 2 ) #>          i         b          se par    fv_dist             model .dropbig #> 1        1 0.6569546 0.125696425  fv      Gamma        Cox, Gamma    FALSE #> 17       2 0.6613376 0.129510423  fv      Gamma        Cox, Gamma    FALSE #> 33       3 1.0953274 0.206427350  fv      Gamma        Cox, Gamma     TRUE #> 49       4 0.8406551 0.156744704  fv      Gamma        Cox, Gamma    FALSE #> 65       5 0.7027899 0.135173710  fv      Gamma        Cox, Gamma    FALSE #> 81       6 0.7745830 0.145766148  fv      Gamma        Cox, Gamma    FALSE #> 97       7 0.6471639 0.124092810  fv      Gamma        Cox, Gamma    FALSE #> 113      8 0.9999895 0.185104048  fv      Gamma        Cox, Gamma    FALSE #> 129      9 0.8249801 0.156193824  fv      Gamma        Cox, Gamma    FALSE #> 145     10 0.8173031 0.154691420  fv      Gamma        Cox, Gamma    FALSE #> 161     11 0.8131207 0.155467829  fv      Gamma        Cox, Gamma    FALSE #> 177     12 0.9917031 0.183639448  fv      Gamma        Cox, Gamma    FALSE #> 193     13 0.9497115 0.177544292  fv      Gamma        Cox, Gamma    FALSE #> 209     14 0.5818812 0.115038898  fv      Gamma        Cox, Gamma    FALSE #> 225     15 0.8821317          NA  fv      Gamma        Cox, Gamma       NA #> 241     16 1.0080549 0.185306797  fv      Gamma        Cox, Gamma    FALSE #> 257     17 0.5966007          NA  fv      Gamma        Cox, Gamma       NA #> 273     18 0.4670966 0.096268874  fv      Gamma        Cox, Gamma    FALSE #> 289     19 0.7333278 0.139560619  fv      Gamma        Cox, Gamma    FALSE #> 305     20 0.9569888 0.178946282  fv      Gamma        Cox, Gamma    FALSE #> 321     21 0.5534068 0.111432621  fv      Gamma        Cox, Gamma    FALSE #> 337     22 0.8922715 0.168260755  fv      Gamma        Cox, Gamma    FALSE #> 353     23 0.6148386 0.118749326  fv      Gamma        Cox, Gamma    FALSE #> 369     24 0.7503412 0.141751724  fv      Gamma        Cox, Gamma    FALSE #> 385     25 0.7795077 0.147239297  fv      Gamma        Cox, Gamma    FALSE #> 401     26 0.7226755 0.138933052  fv      Gamma        Cox, Gamma    FALSE #> 417     27 1.1454385 0.211444516  fv      Gamma        Cox, Gamma     TRUE #> 433     28 1.0146311 0.187317613  fv      Gamma        Cox, Gamma    FALSE #> 449     29 0.9243730 0.171650779  fv      Gamma        Cox, Gamma    FALSE #> 465     30 0.9627598 0.180455732  fv      Gamma        Cox, Gamma    FALSE #> 481     31 0.6097090 0.120254015  fv      Gamma        Cox, Gamma    FALSE #> 497     32 0.7776626 0.148059501  fv      Gamma        Cox, Gamma    FALSE #> 513     33 0.5967068 0.115380144  fv      Gamma        Cox, Gamma    FALSE #> 529     34 0.5604221 0.109501220  fv      Gamma        Cox, Gamma    FALSE #> 545     35 0.7513179 0.145994135  fv      Gamma        Cox, Gamma    FALSE #> 561     36 0.6005370 0.119633066  fv      Gamma        Cox, Gamma    FALSE #> 577     37 0.5965864 0.115755917  fv      Gamma        Cox, Gamma    FALSE #> 593     38 0.5250277 0.103624408  fv      Gamma        Cox, Gamma    FALSE #> 609     39 0.7131612 0.135237995  fv      Gamma        Cox, Gamma    FALSE #> 625     40 0.4799652 0.095913495  fv      Gamma        Cox, Gamma    FALSE #> 641     41 1.1936478 0.213913615  fv      Gamma        Cox, Gamma     TRUE #> 657     42 0.7119055 0.138537976  fv      Gamma        Cox, Gamma    FALSE #> 673     43 0.8157571 0.153496265  fv      Gamma        Cox, Gamma    FALSE #> 689     44 0.8510680 0.159321249  fv      Gamma        Cox, Gamma    FALSE #> 705     45 0.7759695 0.146268948  fv      Gamma        Cox, Gamma    FALSE #> 721     46 0.7346442 0.139055138  fv      Gamma        Cox, Gamma    FALSE #> 737     47 0.9080543 0.172117120  fv      Gamma        Cox, Gamma    FALSE #> 753     48 0.7536020 0.144378149  fv      Gamma        Cox, Gamma    FALSE #> 769     49 0.7841137 0.149576489  fv      Gamma        Cox, Gamma    FALSE #> 785     50 0.7177537 0.136129350  fv      Gamma        Cox, Gamma    FALSE #> 801     51 0.8978122 0.167355928  fv      Gamma        Cox, Gamma    FALSE #> 817     52 0.6175795 0.122643583  fv      Gamma        Cox, Gamma    FALSE #> 833     53 0.6747666 0.130004394  fv      Gamma        Cox, Gamma    FALSE #> 849     54 0.5300899 0.104816453  fv      Gamma        Cox, Gamma    FALSE #> 865     55 0.7787970 0.147506719  fv      Gamma        Cox, Gamma    FALSE #> 881     56 0.7118185 0.137916725  fv      Gamma        Cox, Gamma    FALSE #> 897     57 0.7858698 0.147909226  fv      Gamma        Cox, Gamma    FALSE #> 913     58 0.6599301 0.129157781  fv      Gamma        Cox, Gamma    FALSE #> 929     59 0.7204171 0.137316794  fv      Gamma        Cox, Gamma    FALSE #> 945     60 0.7932676 0.149975681  fv      Gamma        Cox, Gamma    FALSE #> 961     61 0.6694679 0.127685261  fv      Gamma        Cox, Gamma    FALSE #> 977     62 0.6581751 0.128702271  fv      Gamma        Cox, Gamma    FALSE #> 993     63 0.8591200 0.161433261  fv      Gamma        Cox, Gamma    FALSE #> 1009    64 0.6534059 0.125264584  fv      Gamma        Cox, Gamma    FALSE #> 1025    65 0.6942950 0.131759071  fv      Gamma        Cox, Gamma    FALSE #> 1041    66 0.5443571 0.107289026  fv      Gamma        Cox, Gamma    FALSE #> 1057    67 0.8156791 0.152361675  fv      Gamma        Cox, Gamma    FALSE #> 1073    68 0.7439907 0.141612286  fv      Gamma        Cox, Gamma    FALSE #> 1089    69 0.5563484 0.109062941  fv      Gamma        Cox, Gamma    FALSE #> 1105    70 0.7094223 0.138731564  fv      Gamma        Cox, Gamma    FALSE #> 1121    71 0.9385094 0.173908062  fv      Gamma        Cox, Gamma    FALSE #> 1137    72 0.6524139 0.125365577  fv      Gamma        Cox, Gamma    FALSE #> 1153    73 0.4720556 0.093786069  fv      Gamma        Cox, Gamma    FALSE #> 1169    74 0.6739725 0.128962357  fv      Gamma        Cox, Gamma    FALSE #> 1185    75 0.6948754 0.133454468  fv      Gamma        Cox, Gamma    FALSE #> 1201    76 0.6981009 0.137070297  fv      Gamma        Cox, Gamma    FALSE #> 1217    77 0.7876992 0.150774294  fv      Gamma        Cox, Gamma    FALSE #> 1233    78 1.0321320 0.191564904  fv      Gamma        Cox, Gamma    FALSE #> 1249    79 1.3305115 0.241107247  fv      Gamma        Cox, Gamma     TRUE #> 1265    80 0.6233959          NA  fv      Gamma        Cox, Gamma       NA #> 1281    81 0.9222954 0.175122280  fv      Gamma        Cox, Gamma    FALSE #> 1297    82 0.7312982 0.138898303  fv      Gamma        Cox, Gamma    FALSE #> 1313    83 0.4805826 0.099069389  fv      Gamma        Cox, Gamma    FALSE #> 1329    84 0.7162687 0.135900182  fv      Gamma        Cox, Gamma    FALSE #> 1345    85 0.7361328 0.139875756  fv      Gamma        Cox, Gamma    FALSE #> 1361    86 0.7164863 0.136540922  fv      Gamma        Cox, Gamma    FALSE #> 1377    87 0.5816154 0.112900191  fv      Gamma        Cox, Gamma    FALSE #> 1393    88 0.7229512 0.137090004  fv      Gamma        Cox, Gamma    FALSE #> 1409    89 0.7304707 0.138664712  fv      Gamma        Cox, Gamma    FALSE #> 1425    90 0.8836079 0.164198901  fv      Gamma        Cox, Gamma    FALSE #> 1441    91 0.7189481          NA  fv      Gamma        Cox, Gamma       NA #> 1457    92 0.6588464 0.126022294  fv      Gamma        Cox, Gamma    FALSE #> 1473    93 0.9816849 0.189387187  fv      Gamma        Cox, Gamma    FALSE #> 1489    94 0.8230985 0.157285147  fv      Gamma        Cox, Gamma    FALSE #> 1505    95 0.7466798 0.141511812  fv      Gamma        Cox, Gamma    FALSE #> 1521    96 0.4641167 0.092989583  fv      Gamma        Cox, Gamma    FALSE #> 1537    97 0.5859572 0.113349778  fv      Gamma        Cox, Gamma    FALSE #> 1553    98 0.8012617 0.151058934  fv      Gamma        Cox, Gamma    FALSE #> 1569    99 0.5711848 0.112322499  fv      Gamma        Cox, Gamma    FALSE #> 1585   100 0.8500351 0.158095260  fv      Gamma        Cox, Gamma    FALSE #> 1601   101 0.8357950 0.155451666  fv      Gamma        Cox, Gamma    FALSE #> 1617   102 0.7019364 0.133488910  fv      Gamma        Cox, Gamma    FALSE #> 1633   103 0.8787124 0.167784796  fv      Gamma        Cox, Gamma    FALSE #> 1649   104 0.7382161 0.139205129  fv      Gamma        Cox, Gamma    FALSE #> 1665   105 0.8438084 0.159385939  fv      Gamma        Cox, Gamma    FALSE #> 1681   106 0.7100979 0.135186030  fv      Gamma        Cox, Gamma    FALSE #> 1697   107 0.8909452 0.169147434  fv      Gamma        Cox, Gamma    FALSE #> 1713   108 0.7774559 0.150824798  fv      Gamma        Cox, Gamma    FALSE #> 1729   109 0.6953965 0.134268584  fv      Gamma        Cox, Gamma    FALSE #> 1745   110 0.7992946 0.150758285  fv      Gamma        Cox, Gamma    FALSE #> 1761   111 0.8471403 0.159125513  fv      Gamma        Cox, Gamma    FALSE #> 1777   112 0.4643017 0.092950661  fv      Gamma        Cox, Gamma    FALSE #> 1793   113 0.5483133 0.107644803  fv      Gamma        Cox, Gamma    FALSE #> 1809   114 1.1737434 0.213064251  fv      Gamma        Cox, Gamma     TRUE #> 1825   115 0.6447690 0.123844155  fv      Gamma        Cox, Gamma    FALSE #> 1841   116 0.5122411 0.101175678  fv      Gamma        Cox, Gamma    FALSE #> 1857   117 0.7563907 0.142289904  fv      Gamma        Cox, Gamma    FALSE #> 1873   118 0.5579905 0.109454501  fv      Gamma        Cox, Gamma    FALSE #> 1889   119 0.6022598 0.116858325  fv      Gamma        Cox, Gamma    FALSE #> 1905   120 0.7124728 0.135859121  fv      Gamma        Cox, Gamma    FALSE #> 1921   121 0.6402494 0.124028005  fv      Gamma        Cox, Gamma    FALSE #> 1937   122 0.6346064 0.122733103  fv      Gamma        Cox, Gamma    FALSE #> 1953   123 0.7902516 0.149333148  fv      Gamma        Cox, Gamma    FALSE #> 1969   124 0.7329650 0.138554104  fv      Gamma        Cox, Gamma    FALSE #> 1985   125 0.8161002 0.155025922  fv      Gamma        Cox, Gamma    FALSE #> 2001   126 0.9990640 0.191074644  fv      Gamma        Cox, Gamma    FALSE #> 2017   127 0.8700787 0.162375752  fv      Gamma        Cox, Gamma    FALSE #> 2033   128 0.8619723 0.161242325  fv      Gamma        Cox, Gamma    FALSE #> 2049   129 0.5981983 0.118892839  fv      Gamma        Cox, Gamma    FALSE #> 2065   130 0.6716077 0.128978878  fv      Gamma        Cox, Gamma    FALSE #> 2081   131 0.6123596 0.117347356  fv      Gamma        Cox, Gamma    FALSE #> 2097   132 0.7632396 0.147960034  fv      Gamma        Cox, Gamma    FALSE #> 2113   133 0.7684878 0.147084782  fv      Gamma        Cox, Gamma    FALSE #> 2129   134 0.7563895 0.143358097  fv      Gamma        Cox, Gamma    FALSE #> 2145   135 0.5840973 0.113775282  fv      Gamma        Cox, Gamma    FALSE #> 2161   136 0.8139715 0.154214677  fv      Gamma        Cox, Gamma    FALSE #> 2177   137 0.8279570 0.155323396  fv      Gamma        Cox, Gamma    FALSE #> 2193   138 0.9684096 0.181892869  fv      Gamma        Cox, Gamma    FALSE #> 2209   139 0.6380475 0.122896692  fv      Gamma        Cox, Gamma    FALSE #> 2225   140 0.7126356          NA  fv      Gamma        Cox, Gamma       NA #> 2241   141 0.5544497 0.005829212  fv      Gamma        Cox, Gamma     TRUE #> 2257   142 0.6984548 0.133299410  fv      Gamma        Cox, Gamma    FALSE #> 2273   143 1.1447313 0.218348635  fv      Gamma        Cox, Gamma     TRUE #> 2289   144 0.8534851 0.158864910  fv      Gamma        Cox, Gamma    FALSE #> 2305   145 0.6954310 0.132985154  fv      Gamma        Cox, Gamma    FALSE #> 2321   146 0.6862429 0.131920086  fv      Gamma        Cox, Gamma    FALSE #> 2337   147 0.8487307 0.158487657  fv      Gamma        Cox, Gamma    FALSE #> 2353   148 0.5181133 0.101967871  fv      Gamma        Cox, Gamma    FALSE #> 2369   149 0.6841244 0.131624816  fv      Gamma        Cox, Gamma    FALSE #> 2385   150 0.8869154 0.165727435  fv      Gamma        Cox, Gamma    FALSE #> 2401   151 0.8331944 0.156397071  fv      Gamma        Cox, Gamma    FALSE #> 2417   152 0.7961492 0.152467958  fv      Gamma        Cox, Gamma    FALSE #> 2433   153 0.4915269 0.097749704  fv      Gamma        Cox, Gamma    FALSE #> 2449   154 0.8353449 0.156425229  fv      Gamma        Cox, Gamma    FALSE #> 2465   155 0.6917804 0.135298989  fv      Gamma        Cox, Gamma    FALSE #> 2481   156 0.7141483 0.135622707  fv      Gamma        Cox, Gamma    FALSE #> 2497   157 0.9579114 0.180865947  fv      Gamma        Cox, Gamma    FALSE #> 2513   158 0.9919173 0.186831104  fv      Gamma        Cox, Gamma    FALSE #> 2529   159 0.5056687 0.100572196  fv      Gamma        Cox, Gamma    FALSE #> 2545   160 0.5668849 0.110729771  fv      Gamma        Cox, Gamma    FALSE #> 2561   161 1.1593267 0.211623189  fv      Gamma        Cox, Gamma     TRUE #> 2577   162 0.6686198 0.129654468  fv      Gamma        Cox, Gamma    FALSE #> 2593   163 0.5947095 0.115432055  fv      Gamma        Cox, Gamma    FALSE #> 2609   164 0.9409729 0.174195456  fv      Gamma        Cox, Gamma    FALSE #> 2625   165 0.7712525 0.145156218  fv      Gamma        Cox, Gamma    FALSE #> 2641   166 0.7944783 0.152945382  fv      Gamma        Cox, Gamma    FALSE #> 2657   167 0.8759279 0.163421782  fv      Gamma        Cox, Gamma    FALSE #> 2673   168 0.9305016 0.172681632  fv      Gamma        Cox, Gamma    FALSE #> 2689   169 0.6998018 0.134466938  fv      Gamma        Cox, Gamma    FALSE #> 2705   170 0.6956819 0.133436242  fv      Gamma        Cox, Gamma    FALSE #> 2721   171 0.6792319 0.131731221  fv      Gamma        Cox, Gamma    FALSE #> 2737   172 0.8680243 0.162039061  fv      Gamma        Cox, Gamma    FALSE #> 2753   173 0.5991408 0.117150299  fv      Gamma        Cox, Gamma    FALSE #> 2769   174 0.8197266 0.154957877  fv      Gamma        Cox, Gamma    FALSE #> 2785   175 0.6402142 0.124225276  fv      Gamma        Cox, Gamma    FALSE #> 2801   176 0.6677623 0.127397054  fv      Gamma        Cox, Gamma    FALSE #> 2817   177 0.5600635 0.111041351  fv      Gamma        Cox, Gamma    FALSE #> 2833   178 0.8664575 0.161085253  fv      Gamma        Cox, Gamma    FALSE #> 2849   179 0.5696270 0.110580250  fv      Gamma        Cox, Gamma    FALSE #> 2865   180 0.7490451 0.145597001  fv      Gamma        Cox, Gamma    FALSE #> 2881   181 0.8332298 0.156165685  fv      Gamma        Cox, Gamma    FALSE #> 2897   182 0.7299111 0.138267866  fv      Gamma        Cox, Gamma    FALSE #> 2913   183 0.5643054 0.109921943  fv      Gamma        Cox, Gamma    FALSE #> 2929   184 0.6713498 0.129903821  fv      Gamma        Cox, Gamma    FALSE #> 2945   185 0.8565735 0.161036493  fv      Gamma        Cox, Gamma    FALSE #> 2961   186 0.9053793 0.172727818  fv      Gamma        Cox, Gamma    FALSE #> 2977   187 0.7412392 0.141072766  fv      Gamma        Cox, Gamma    FALSE #> 2993   188 0.5539059 0.108329615  fv      Gamma        Cox, Gamma    FALSE #> 3009   189 0.7630802 0.144798954  fv      Gamma        Cox, Gamma    FALSE #> 3025   190 0.7739996 0.145679338  fv      Gamma        Cox, Gamma    FALSE #> 3041   191 0.7531330 0.142505520  fv      Gamma        Cox, Gamma    FALSE #> 3057   192 0.7746974 0.149498584  fv      Gamma        Cox, Gamma    FALSE #> 3073   193 0.6405375 0.123698525  fv      Gamma        Cox, Gamma    FALSE #> 3089   194 0.5955132 0.115145832  fv      Gamma        Cox, Gamma    FALSE #> 3105   195 0.8745908 0.162591705  fv      Gamma        Cox, Gamma    FALSE #> 3121   196 0.8178457 0.154589268  fv      Gamma        Cox, Gamma    FALSE #> 3137   197 0.7511736 0.141661815  fv      Gamma        Cox, Gamma    FALSE #> 3153   198 0.7769079 0.146017528  fv      Gamma        Cox, Gamma    FALSE #> 3169   199 0.5582030 0.109200412  fv      Gamma        Cox, Gamma    FALSE #> 3185   200 0.8259496 0.154374691  fv      Gamma        Cox, Gamma    FALSE #> 3201   201 0.7413535 0.141501117  fv      Gamma        Cox, Gamma    FALSE #> 3217   202 0.7883145 0.147891265  fv      Gamma        Cox, Gamma    FALSE #> 3233   203 0.7376850 0.139098696  fv      Gamma        Cox, Gamma    FALSE #> 3249   204 0.7431473 0.145125912  fv      Gamma        Cox, Gamma    FALSE #> 3265   205 0.5968534 0.116380154  fv      Gamma        Cox, Gamma    FALSE #> 3281   206 0.7364319 0.139955581  fv      Gamma        Cox, Gamma    FALSE #> 3297   207 0.5674448 0.110932711  fv      Gamma        Cox, Gamma    FALSE #> 3313   208 0.7440635 0.141631276  fv      Gamma        Cox, Gamma    FALSE #> 3329   209 0.6788077 0.130198366  fv      Gamma        Cox, Gamma    FALSE #> 3345   210 0.6888451 0.132771993  fv      Gamma        Cox, Gamma    FALSE #> 3361   211 0.9803778 0.184836601  fv      Gamma        Cox, Gamma    FALSE #> 3377   212 0.7256449 0.141318320  fv      Gamma        Cox, Gamma    FALSE #> 3393   213 0.8183619 0.154776877  fv      Gamma        Cox, Gamma    FALSE #> 3409   214 0.6497936 0.125621597  fv      Gamma        Cox, Gamma    FALSE #> 3425   215 0.8793079 0.164432320  fv      Gamma        Cox, Gamma    FALSE #> 3441   216 0.9162205 0.170569691  fv      Gamma        Cox, Gamma    FALSE #> 3457   217 0.6777625 0.131187108  fv      Gamma        Cox, Gamma    FALSE #> 3473   218 0.6131194 0.119393013  fv      Gamma        Cox, Gamma    FALSE #> 3489   219 0.8569040 0.162515848  fv      Gamma        Cox, Gamma    FALSE #> 3505   220 0.5628894 0.109933688  fv      Gamma        Cox, Gamma    FALSE #> 3521   221 0.7097276 0.136447984  fv      Gamma        Cox, Gamma    FALSE #> 3537   222 0.7727905 0.147170732  fv      Gamma        Cox, Gamma    FALSE #> 3553   223 0.7964844 0.154284092  fv      Gamma        Cox, Gamma    FALSE #> 3569   224 0.7614475 0.144615174  fv      Gamma        Cox, Gamma    FALSE #> 3585   225 0.6722549 0.129075014  fv      Gamma        Cox, Gamma    FALSE #> 3601   226 0.8333519 0.160111938  fv      Gamma        Cox, Gamma    FALSE #> 3617   227 0.6560251 0.126793123  fv      Gamma        Cox, Gamma    FALSE #> 3633   228 0.8900574 0.165684363  fv      Gamma        Cox, Gamma    FALSE #> 3649   229 0.7783440 0.147316655  fv      Gamma        Cox, Gamma    FALSE #> 3665   230 0.7010892 0.133597427  fv      Gamma        Cox, Gamma    FALSE #> 3681   231 0.7965352 0.151151697  fv      Gamma        Cox, Gamma    FALSE #> 3697   232 0.7331452 0.142033787  fv      Gamma        Cox, Gamma    FALSE #> 3713   233 0.8746416 0.164268652  fv      Gamma        Cox, Gamma    FALSE #> 3729   234 0.6285312 0.121126267  fv      Gamma        Cox, Gamma    FALSE #> 3745   235 0.7432271 0.143094417  fv      Gamma        Cox, Gamma    FALSE #> 3761   236 0.4979838 0.099104026  fv      Gamma        Cox, Gamma    FALSE #> 3777   237 0.6728080 0.130707771  fv      Gamma        Cox, Gamma    FALSE #> 3793   238 0.5840668 0.114928913  fv      Gamma        Cox, Gamma    FALSE #> 3809   239 0.7097176 0.134414945  fv      Gamma        Cox, Gamma    FALSE #> 3825   240 0.8599517 0.164169343  fv      Gamma        Cox, Gamma    FALSE #> 3841   241 0.6564593 0.126134874  fv      Gamma        Cox, Gamma    FALSE #> 3857   242 0.5141763 0.101693306  fv      Gamma        Cox, Gamma    FALSE #> 3873   243 0.8631191 0.166522993  fv      Gamma        Cox, Gamma    FALSE #> 3889   244 0.5648038 0.110152544  fv      Gamma        Cox, Gamma    FALSE #> 3905   245 0.9067207 0.169979694  fv      Gamma        Cox, Gamma    FALSE #> 3921   246 0.6699933 0.127877304  fv      Gamma        Cox, Gamma    FALSE #> 3937   247 0.7658413 0.145211179  fv      Gamma        Cox, Gamma    FALSE #> 3953   248 0.9431198 0.174221858  fv      Gamma        Cox, Gamma    FALSE #> 3969   249 0.9559739 0.179913652  fv      Gamma        Cox, Gamma    FALSE #> 3985   250 0.7309363 0.139895733  fv      Gamma        Cox, Gamma    FALSE #> 4001   251 0.7953055 0.152686790  fv      Gamma        Cox, Gamma    FALSE #> 4017   252 0.8009815 0.153887446  fv      Gamma        Cox, Gamma    FALSE #> 4033   253 0.9063613 0.176153220  fv      Gamma        Cox, Gamma    FALSE #> 4049   254 0.5192107 0.101929593  fv      Gamma        Cox, Gamma    FALSE #> 4065   255 0.7741374 0.145083036  fv      Gamma        Cox, Gamma    FALSE #> 4081   256 0.7237488 0.138470282  fv      Gamma        Cox, Gamma    FALSE #> 4097   257 0.5354834 0.104354126  fv      Gamma        Cox, Gamma    FALSE #> 4113   258 0.7012728 0.138891396  fv      Gamma        Cox, Gamma    FALSE #> 4129   259 0.7423993 0.141143911  fv      Gamma        Cox, Gamma    FALSE #> 4145   260 0.8676835 0.162799994  fv      Gamma        Cox, Gamma    FALSE #> 4161   261 0.4985565 0.098347563  fv      Gamma        Cox, Gamma    FALSE #> 4177   262 0.7309571 0.140660952  fv      Gamma        Cox, Gamma    FALSE #> 4193   263 0.6045868 0.117674653  fv      Gamma        Cox, Gamma    FALSE #> 4209   264 0.5101925 0.100166533  fv      Gamma        Cox, Gamma    FALSE #> 4225   265 0.5926958 0.114423413  fv      Gamma        Cox, Gamma    FALSE #> 4241   266 0.6141473 0.118472417  fv      Gamma        Cox, Gamma    FALSE #> 4257   267 0.7089350 0.135707003  fv      Gamma        Cox, Gamma    FALSE #> 4273   268 0.7461537 0.141208361  fv      Gamma        Cox, Gamma    FALSE #> 4289   269 1.0603612 0.198754812  fv      Gamma        Cox, Gamma    FALSE #> 4305   270 0.9058827 0.173864681  fv      Gamma        Cox, Gamma    FALSE #> 4321   271 0.8913131 0.167006421  fv      Gamma        Cox, Gamma    FALSE #> 4337   272 0.5385219 0.106340887  fv      Gamma        Cox, Gamma    FALSE #> 4353   273 0.6611358 0.127691135  fv      Gamma        Cox, Gamma    FALSE #> 4369   274 0.7211689 0.136721186  fv      Gamma        Cox, Gamma    FALSE #> 4385   275 0.8557535 0.159471673  fv      Gamma        Cox, Gamma    FALSE #> 4401   276 0.8100907 0.155893661  fv      Gamma        Cox, Gamma    FALSE #> 4417   277 0.6766183 0.128987177  fv      Gamma        Cox, Gamma    FALSE #> 4433   278 0.7339860 0.138921953  fv      Gamma        Cox, Gamma    FALSE #> 4449   279 0.7292968 0.138338078  fv      Gamma        Cox, Gamma    FALSE #> 4465   280 0.7607655 0.143846232  fv      Gamma        Cox, Gamma    FALSE #> 4481   281 1.0222759 0.191682241  fv      Gamma        Cox, Gamma    FALSE #> 4497   282 0.6012837 0.116686105  fv      Gamma        Cox, Gamma    FALSE #> 4513   283 0.8065287 0.008370025  fv      Gamma        Cox, Gamma     TRUE #> 4529   284 0.6538202 0.125329340  fv      Gamma        Cox, Gamma    FALSE #> 4545   285 0.5004678 0.098826427  fv      Gamma        Cox, Gamma    FALSE #> 4561   286 0.7617749 0.144340603  fv      Gamma        Cox, Gamma    FALSE #> 4577   287 0.6411900 0.124111128  fv      Gamma        Cox, Gamma    FALSE #> 4593   288 1.2156838 0.222204393  fv      Gamma        Cox, Gamma     TRUE #> 4609   289 0.6293359 0.121873921  fv      Gamma        Cox, Gamma    FALSE #> 4625   290 0.5973796 0.115942379  fv      Gamma        Cox, Gamma    FALSE #> 4641   291 0.6142454          NA  fv      Gamma        Cox, Gamma       NA #> 4657   292 0.6275111 0.121149223  fv      Gamma        Cox, Gamma    FALSE #> 4673   293 0.8857171 0.166063448  fv      Gamma        Cox, Gamma    FALSE #> 4689   294 0.6322969 0.122255267  fv      Gamma        Cox, Gamma    FALSE #> 4705   295 1.0640640 0.195201183  fv      Gamma        Cox, Gamma    FALSE #> 4721   296 0.7341485 0.140160744  fv      Gamma        Cox, Gamma    FALSE #> 4737   297 1.1991235 0.216487970  fv      Gamma        Cox, Gamma     TRUE #> 4753   298 0.5712964 0.111273754  fv      Gamma        Cox, Gamma    FALSE #> 4769   299 0.5672383 0.111172863  fv      Gamma        Cox, Gamma    FALSE #> 4785   300 0.8495776 0.158426390  fv      Gamma        Cox, Gamma    FALSE #> 4801   301 0.5310383 0.104267983  fv      Gamma        Cox, Gamma    FALSE #> 4817   302 0.7523369 0.141562397  fv      Gamma        Cox, Gamma    FALSE #> 4833   303 0.6689623 0.129247470  fv      Gamma        Cox, Gamma    FALSE #> 4849   304 0.7352516 0.140697289  fv      Gamma        Cox, Gamma    FALSE #> 4865   305 0.8685145 0.162232921  fv      Gamma        Cox, Gamma    FALSE #> 4881   306 0.7403740 0.140931785  fv      Gamma        Cox, Gamma    FALSE #> 4897   307 0.7625273 0.146362956  fv      Gamma        Cox, Gamma    FALSE #> 4913   308 0.6529047 0.125331572  fv      Gamma        Cox, Gamma    FALSE #> 4929   309 0.7335789 0.138755400  fv      Gamma        Cox, Gamma    FALSE #> 4945   310 1.0352441 0.191706968  fv      Gamma        Cox, Gamma    FALSE #> 4961   311 0.8210888 0.154167236  fv      Gamma        Cox, Gamma    FALSE #> 4977   312 1.1316319 0.214506331  fv      Gamma        Cox, Gamma     TRUE #> 4993   313 0.7858570 0.148363040  fv      Gamma        Cox, Gamma    FALSE #> 5009   314 0.6270082 0.121419429  fv      Gamma        Cox, Gamma    FALSE #> 5025   315 0.7580926 0.143019862  fv      Gamma        Cox, Gamma    FALSE #> 5041   316 1.0442184 0.191879128  fv      Gamma        Cox, Gamma    FALSE #> 5057   317 0.6437053 0.124174313  fv      Gamma        Cox, Gamma    FALSE #> 5073   318 0.8451586 0.162886989  fv      Gamma        Cox, Gamma    FALSE #> 5089   319 0.6154748 0.119202669  fv      Gamma        Cox, Gamma    FALSE #> 5105   320 0.6052390 0.117161496  fv      Gamma        Cox, Gamma    FALSE #> 5121   321 0.8562321 0.161151124  fv      Gamma        Cox, Gamma    FALSE #> 5137   322 0.5475235 0.107601448  fv      Gamma        Cox, Gamma    FALSE #> 5153   323 0.8516726 0.159610025  fv      Gamma        Cox, Gamma    FALSE #> 5169   324 0.6284455 0.122771029  fv      Gamma        Cox, Gamma    FALSE #> 5185   325 0.7340504 0.139368912  fv      Gamma        Cox, Gamma    FALSE #> 5201   326 0.7039394 0.134465568  fv      Gamma        Cox, Gamma    FALSE #> 5217   327 0.7570131 0.143284492  fv      Gamma        Cox, Gamma    FALSE #> 5233   328 1.0241436 0.191230022  fv      Gamma        Cox, Gamma    FALSE #> 5249   329 0.8762071 0.165668652  fv      Gamma        Cox, Gamma    FALSE #> 5265   330 0.6943285 0.133117878  fv      Gamma        Cox, Gamma    FALSE #> 5281   331 0.8439616 0.157763791  fv      Gamma        Cox, Gamma    FALSE #> 5297   332 0.5597510 0.110415552  fv      Gamma        Cox, Gamma    FALSE #> 5313   333 0.5408626 0.105579808  fv      Gamma        Cox, Gamma    FALSE #> 5329   334 0.9467958 0.173919137  fv      Gamma        Cox, Gamma    FALSE #> 5345   335 0.7653749 0.145590511  fv      Gamma        Cox, Gamma    FALSE #> 5361   336 0.4797265 0.096031622  fv      Gamma        Cox, Gamma    FALSE #> 5377   337 0.6413684 0.124650010  fv      Gamma        Cox, Gamma    FALSE #> 5393   338 0.6035586          NA  fv      Gamma        Cox, Gamma       NA #> 5409   339 0.8262291 0.156546194  fv      Gamma        Cox, Gamma    FALSE #> 5425   340 0.7801398 0.152957082  fv      Gamma        Cox, Gamma    FALSE #> 5441   341 0.5609456 0.109188392  fv      Gamma        Cox, Gamma    FALSE #> 5457   342 0.4505560 0.089857208  fv      Gamma        Cox, Gamma    FALSE #> 5473   343 0.6379761 0.123470515  fv      Gamma        Cox, Gamma    FALSE #> 5489   344 0.9821211 0.184488378  fv      Gamma        Cox, Gamma    FALSE #> 5505   345 0.8685154 0.163017679  fv      Gamma        Cox, Gamma    FALSE #> 5521   346 0.7913166 0.148203721  fv      Gamma        Cox, Gamma    FALSE #> 5537   347 0.7336193 0.139101579  fv      Gamma        Cox, Gamma    FALSE #> 5553   348 0.9254888 0.171694360  fv      Gamma        Cox, Gamma    FALSE #> 5569   349 0.8488816 0.159294203  fv      Gamma        Cox, Gamma    FALSE #> 5585   350 0.8160615 0.152965564  fv      Gamma        Cox, Gamma    FALSE #> 5601   351 0.8759466 0.167886380  fv      Gamma        Cox, Gamma    FALSE #> 5617   352 0.7981894 0.153964217  fv      Gamma        Cox, Gamma    FALSE #> 5633   353 0.5791672 0.113057885  fv      Gamma        Cox, Gamma    FALSE #> 5649   354 0.7416095 0.141018326  fv      Gamma        Cox, Gamma    FALSE #> 5665   355 0.8010796 0.149943272  fv      Gamma        Cox, Gamma    FALSE #> 5681   356 0.8282803 0.158193917  fv      Gamma        Cox, Gamma    FALSE #> 5697   357 0.6938562 0.132663709  fv      Gamma        Cox, Gamma    FALSE #> 5713   358 0.6402635 0.122101470  fv      Gamma        Cox, Gamma    FALSE #> 5729   359 0.6742980 0.132978427  fv      Gamma        Cox, Gamma    FALSE #> 5745   360 0.6040056 0.117051665  fv      Gamma        Cox, Gamma    FALSE #> 5761   361 0.9421937 0.178772166  fv      Gamma        Cox, Gamma    FALSE #> 5777   362 0.4601477 0.091085384  fv      Gamma        Cox, Gamma    FALSE #> 5793   363 0.7026636 0.135100787  fv      Gamma        Cox, Gamma    FALSE #> 5809   364 0.5302217 0.104442908  fv      Gamma        Cox, Gamma    FALSE #> 5825   365 0.7690703 0.150669849  fv      Gamma        Cox, Gamma    FALSE #> 5841   366 0.8267876 0.157050939  fv      Gamma        Cox, Gamma    FALSE #> 5857   367 0.8874453 0.165351401  fv      Gamma        Cox, Gamma    FALSE #> 5873   368 0.8804541 0.171672792  fv      Gamma        Cox, Gamma    FALSE #> 5889   369 0.5558909 0.108356937  fv      Gamma        Cox, Gamma    FALSE #> 5905   370 0.5224601 0.102908943  fv      Gamma        Cox, Gamma    FALSE #> 5921   371 0.8876388 0.168386174  fv      Gamma        Cox, Gamma    FALSE #> 5937   372 0.6286268 0.125304837  fv      Gamma        Cox, Gamma    FALSE #> 5953   373 0.6690070 0.127890066  fv      Gamma        Cox, Gamma    FALSE #> 5969   374 0.6330213 0.122146795  fv      Gamma        Cox, Gamma    FALSE #> 5985   375 0.6227287 0.120453980  fv      Gamma        Cox, Gamma    FALSE #> 6001   376 0.6703751 0.129140001  fv      Gamma        Cox, Gamma    FALSE #> 6017   377 0.8079140 0.155596402  fv      Gamma        Cox, Gamma    FALSE #> 6033   378 0.7798553 0.146544187  fv      Gamma        Cox, Gamma    FALSE #> 6049   379 0.6475737 0.124463927  fv      Gamma        Cox, Gamma    FALSE #> 6065   380 0.7688097 0.145489816  fv      Gamma        Cox, Gamma    FALSE #> 6081   381 0.6649357 0.128253722  fv      Gamma        Cox, Gamma    FALSE #> 6097   382 0.6807352 0.130459416  fv      Gamma        Cox, Gamma    FALSE #> 6113   383 1.0192008 0.186327756  fv      Gamma        Cox, Gamma    FALSE #> 6129   384 0.8434297 0.158539964  fv      Gamma        Cox, Gamma    FALSE #> 6145   385 0.5428752 0.106117665  fv      Gamma        Cox, Gamma    FALSE #> 6161   386 0.3967401 0.081332469  fv      Gamma        Cox, Gamma    FALSE #> 6177   387 0.5406499 0.105272643  fv      Gamma        Cox, Gamma    FALSE #> 6193   388 0.6602657 0.126552615  fv      Gamma        Cox, Gamma    FALSE #> 6209   389 0.5332555 0.104791180  fv      Gamma        Cox, Gamma    FALSE #> 6225   390 0.6045228 0.117241227  fv      Gamma        Cox, Gamma    FALSE #> 6241   391 0.4999031          NA  fv      Gamma        Cox, Gamma       NA #> 6257   392 0.9248187 0.171305899  fv      Gamma        Cox, Gamma    FALSE #> 6273   393 0.5798027 0.113219618  fv      Gamma        Cox, Gamma    FALSE #> 6289   394 0.8907170 0.167374282  fv      Gamma        Cox, Gamma    FALSE #> 6305   395 0.7016240 0.135025361  fv      Gamma        Cox, Gamma    FALSE #> 6321   396 0.7121455 0.139294610  fv      Gamma        Cox, Gamma    FALSE #> 6337   397 0.8229104 0.153784172  fv      Gamma        Cox, Gamma    FALSE #> 6353   398 0.7712521 0.146309386  fv      Gamma        Cox, Gamma    FALSE #> 6369   399 0.6190504 0.119937746  fv      Gamma        Cox, Gamma    FALSE #> 6385   400 0.6672967 0.128315064  fv      Gamma        Cox, Gamma    FALSE #> 6401   401 0.8584411 0.163304952  fv      Gamma        Cox, Gamma    FALSE #> 6417   402 0.7225680 0.141193789  fv      Gamma        Cox, Gamma    FALSE #> 6433   403 0.6821864 0.130069717  fv      Gamma        Cox, Gamma    FALSE #> 6449   404 0.8921011 0.169978122  fv      Gamma        Cox, Gamma    FALSE #> 6465   405 0.6364897 0.121986924  fv      Gamma        Cox, Gamma    FALSE #> 6481   406 0.6312721 0.122132709  fv      Gamma        Cox, Gamma    FALSE #> 6497   407 0.7537675 0.143468500  fv      Gamma        Cox, Gamma    FALSE #> 6513   408 0.4830750 0.100264446  fv      Gamma        Cox, Gamma    FALSE #> 6529   409 0.9120263 0.168875217  fv      Gamma        Cox, Gamma    FALSE #> 6545   410 0.9317740 0.176472419  fv      Gamma        Cox, Gamma    FALSE #> 6561   411 0.7853073 0.155061040  fv      Gamma        Cox, Gamma    FALSE #> 6577   412 0.6760708 0.129238258  fv      Gamma        Cox, Gamma    FALSE #> 6593   413 0.7106746          NA  fv      Gamma        Cox, Gamma       NA #> 6609   414 0.7126918 0.136010675  fv      Gamma        Cox, Gamma    FALSE #> 6625   415 0.8278815 0.154436751  fv      Gamma        Cox, Gamma    FALSE #> 6641   416 0.6144755 0.118999790  fv      Gamma        Cox, Gamma    FALSE #> 6657   417 0.7064656 0.134614387  fv      Gamma        Cox, Gamma    FALSE #> 6673   418 0.7280710 0.138588048  fv      Gamma        Cox, Gamma    FALSE #> 6689   419 0.5977421 0.117049099  fv      Gamma        Cox, Gamma    FALSE #> 6705   420 0.7984141 0.153630576  fv      Gamma        Cox, Gamma    FALSE #> 6721   421 0.7789264 0.146973632  fv      Gamma        Cox, Gamma    FALSE #> 6737   422 0.7189249 0.136830403  fv      Gamma        Cox, Gamma    FALSE #> 6753   423 0.7767172 0.146505554  fv      Gamma        Cox, Gamma    FALSE #> 6769   424 0.6711159 0.129971477  fv      Gamma        Cox, Gamma    FALSE #> 6785   425 0.5421033 0.106506310  fv      Gamma        Cox, Gamma    FALSE #> 6801   426 0.9738877 0.180388841  fv      Gamma        Cox, Gamma    FALSE #> 6817   427 0.4334204 0.087612339  fv      Gamma        Cox, Gamma    FALSE #> 6833   428 0.9192375 0.174367363  fv      Gamma        Cox, Gamma    FALSE #> 6849   429 0.6307533 0.121860719  fv      Gamma        Cox, Gamma    FALSE #> 6865   430 0.5862901 0.113931845  fv      Gamma        Cox, Gamma    FALSE #> 6881   431 0.8326353 0.156104642  fv      Gamma        Cox, Gamma    FALSE #> 6897   432 0.5651382 0.111271681  fv      Gamma        Cox, Gamma    FALSE #> 6913   433 0.7605602 0.146061740  fv      Gamma        Cox, Gamma    FALSE #> 6929   434 0.9151370 0.168917938  fv      Gamma        Cox, Gamma    FALSE #> 6945   435 0.6420012 0.123004617  fv      Gamma        Cox, Gamma    FALSE #> 6961   436 0.8857909 0.167510125  fv      Gamma        Cox, Gamma    FALSE #> 6977   437 0.6462434 0.124127766  fv      Gamma        Cox, Gamma    FALSE #> 6993   438 0.4972460 0.098754303  fv      Gamma        Cox, Gamma    FALSE #> 7009   439 0.6779588 0.130863527  fv      Gamma        Cox, Gamma    FALSE #> 7025   440 0.6825645 0.130306052  fv      Gamma        Cox, Gamma    FALSE #> 7041   441 0.4502677 0.089999523  fv      Gamma        Cox, Gamma    FALSE #> 7057   442 0.8187358 0.153159795  fv      Gamma        Cox, Gamma    FALSE #> 7073   443 0.4864113 0.097415951  fv      Gamma        Cox, Gamma    FALSE #> 7089   444 0.6307093          NA  fv      Gamma        Cox, Gamma       NA #> 7105   445 0.8960691 0.172700705  fv      Gamma        Cox, Gamma    FALSE #> 7121   446 0.7375956 0.139800669  fv      Gamma        Cox, Gamma    FALSE #> 7137   447 0.7060355 0.134536437  fv      Gamma        Cox, Gamma    FALSE #> 7153   448 0.7606137 0.144593023  fv      Gamma        Cox, Gamma    FALSE #> 7169   449 0.8188267 0.152908387  fv      Gamma        Cox, Gamma    FALSE #> 7185   450 0.6649946 0.127035238  fv      Gamma        Cox, Gamma    FALSE #> 7201   451 0.7889763 0.148648185  fv      Gamma        Cox, Gamma    FALSE #> 7217   452 0.5385995 0.106107012  fv      Gamma        Cox, Gamma    FALSE #> 7233   453 0.7976309 0.149294907  fv      Gamma        Cox, Gamma    FALSE #> 7249   454 0.6812803 0.133807496  fv      Gamma        Cox, Gamma    FALSE #> 7265   455 0.7853285 0.148442373  fv      Gamma        Cox, Gamma    FALSE #> 7281   456 0.8013663 0.150752027  fv      Gamma        Cox, Gamma    FALSE #> 7297   457 0.7567226 0.143306581  fv      Gamma        Cox, Gamma    FALSE #> 7313   458 0.8390265 0.158325038  fv      Gamma        Cox, Gamma    FALSE #> 7329   459 0.6846816 0.131871936  fv      Gamma        Cox, Gamma    FALSE #> 7345   460 0.5993262          NA  fv      Gamma        Cox, Gamma       NA #> 7361   461 0.7089733 0.135818026  fv      Gamma        Cox, Gamma    FALSE #> 7377   462 0.9322032 0.176108434  fv      Gamma        Cox, Gamma    FALSE #> 7393   463 0.5899818 0.113578435  fv      Gamma        Cox, Gamma    FALSE #> 7409   464 0.5457337 0.107935854  fv      Gamma        Cox, Gamma    FALSE #> 7425   465 0.6924278 0.131950434  fv      Gamma        Cox, Gamma    FALSE #> 7441   466 0.8586186 0.164067739  fv      Gamma        Cox, Gamma    FALSE #> 7457   467 0.8607295 0.162516222  fv      Gamma        Cox, Gamma    FALSE #> 7473   468 0.5840632 0.113431719  fv      Gamma        Cox, Gamma    FALSE #> 7489   469 0.7721755 0.148974573  fv      Gamma        Cox, Gamma    FALSE #> 7505   470 0.7864966 0.147551158  fv      Gamma        Cox, Gamma    FALSE #> 7521   471 0.6014325 0.116605603  fv      Gamma        Cox, Gamma    FALSE #> 7537   472 0.7782183 0.146490838  fv      Gamma        Cox, Gamma    FALSE #> 7553   473 0.6782043 0.129840010  fv      Gamma        Cox, Gamma    FALSE #> 7569   474 0.6246471 0.122746003  fv      Gamma        Cox, Gamma    FALSE #> 7585   475 1.1066875 0.208302683  fv      Gamma        Cox, Gamma     TRUE #> 7601   476 0.5556522 0.108984002  fv      Gamma        Cox, Gamma    FALSE #> 7617   477 0.8566296 0.159877492  fv      Gamma        Cox, Gamma    FALSE #> 7633   478 0.6815679 0.131090134  fv      Gamma        Cox, Gamma    FALSE #> 7649   479 0.8652759 0.161735280  fv      Gamma        Cox, Gamma    FALSE #> 7665   480 0.7542582 0.144197098  fv      Gamma        Cox, Gamma    FALSE #> 7681   481 0.6792317 0.131026222  fv      Gamma        Cox, Gamma    FALSE #> 7697   482 0.6255814 0.124083667  fv      Gamma        Cox, Gamma    FALSE #> 7713   483 0.6524135 0.127114059  fv      Gamma        Cox, Gamma    FALSE #> 7729   484 0.7084909 0.134146311  fv      Gamma        Cox, Gamma    FALSE #> 7745   485 0.7116749 0.135010465  fv      Gamma        Cox, Gamma    FALSE #> 7761   486 0.5675852 0.111128327  fv      Gamma        Cox, Gamma    FALSE #> 7777   487 0.8227084 0.154214426  fv      Gamma        Cox, Gamma    FALSE #> 7793   488 0.6805839 0.132475141  fv      Gamma        Cox, Gamma    FALSE #> 7809   489 0.8828861 0.168922643  fv      Gamma        Cox, Gamma    FALSE #> 7825   490 1.0616372 0.193890898  fv      Gamma        Cox, Gamma    FALSE #> 7841   491 0.6822397 0.130612568  fv      Gamma        Cox, Gamma    FALSE #> 7857   492 0.8222004 0.155512481  fv      Gamma        Cox, Gamma    FALSE #> 7873   493 0.7750104 0.151083906  fv      Gamma        Cox, Gamma    FALSE #> 7889   494 0.7222312 0.137802429  fv      Gamma        Cox, Gamma    FALSE #> 7905   495 0.7690374 0.146304536  fv      Gamma        Cox, Gamma    FALSE #> 7921   496 0.5161178 0.102242565  fv      Gamma        Cox, Gamma    FALSE #> 7937   497 0.6616442 0.126467428  fv      Gamma        Cox, Gamma    FALSE #> 7953   498 0.6310750 0.122098317  fv      Gamma        Cox, Gamma    FALSE #> 7969   499 0.9368503 0.175074305  fv      Gamma        Cox, Gamma    FALSE #> 7985   500 0.8980660 0.169636790  fv      Gamma        Cox, Gamma    FALSE #> 8001   501 0.6945294 0.132580566  fv      Gamma        Cox, Gamma    FALSE #> 8017   502 0.7586970 0.143861263  fv      Gamma        Cox, Gamma    FALSE #> 8033   503 0.6796761 0.130505602  fv      Gamma        Cox, Gamma    FALSE #> 8049   504 0.8750771 0.162492220  fv      Gamma        Cox, Gamma    FALSE #> 8065   505 0.9242294 0.173034278  fv      Gamma        Cox, Gamma    FALSE #> 8081   506 0.6642908 0.127078492  fv      Gamma        Cox, Gamma    FALSE #> 8097   507 0.6220734 0.120661088  fv      Gamma        Cox, Gamma    FALSE #> 8113   508 0.6638922 0.127459533  fv      Gamma        Cox, Gamma    FALSE #> 8129   509 0.7011241 0.133602323  fv      Gamma        Cox, Gamma    FALSE #> 8145   510 0.9146957 0.169745733  fv      Gamma        Cox, Gamma    FALSE #> 8161   511 0.7417783 0.141579855  fv      Gamma        Cox, Gamma    FALSE #> 8177   512 0.8087679 0.152328374  fv      Gamma        Cox, Gamma    FALSE #> 8193   513 0.5954906 0.116001360  fv      Gamma        Cox, Gamma    FALSE #> 8209   514 0.6569979 0.126927260  fv      Gamma        Cox, Gamma    FALSE #> 8225   515 0.6212970 0.120107176  fv      Gamma        Cox, Gamma    FALSE #> 8241   516 0.7542450 0.144369845  fv      Gamma        Cox, Gamma    FALSE #> 8257   517 0.7857159 0.148313320  fv      Gamma        Cox, Gamma    FALSE #> 8273   518 0.8537068 0.158622013  fv      Gamma        Cox, Gamma    FALSE #> 8289   519 0.7034337 0.134310592  fv      Gamma        Cox, Gamma    FALSE #> 8305   520 0.6197376 0.119943182  fv      Gamma        Cox, Gamma    FALSE #> 8321   521 0.5610014 0.109140591  fv      Gamma        Cox, Gamma    FALSE #> 8337   522 0.5438508 0.106296184  fv      Gamma        Cox, Gamma    FALSE #> 8353   523 0.6698531 0.129490382  fv      Gamma        Cox, Gamma    FALSE #> 8369   524 0.6020242 0.117226384  fv      Gamma        Cox, Gamma    FALSE #> 8385   525 1.0516324 0.192496879  fv      Gamma        Cox, Gamma    FALSE #> 8401   526 0.7609652 0.144096404  fv      Gamma        Cox, Gamma    FALSE #> 8417   527 0.6881981 0.133087351  fv      Gamma        Cox, Gamma    FALSE #> 8433   528 0.6054273 0.117775780  fv      Gamma        Cox, Gamma    FALSE #> 8449   529 0.8516933 0.159701160  fv      Gamma        Cox, Gamma    FALSE #> 8465   530 0.8926019 0.166575907  fv      Gamma        Cox, Gamma    FALSE #> 8481   531 0.7916298 0.148159862  fv      Gamma        Cox, Gamma    FALSE #> 8497   532 0.7897519 0.149192705  fv      Gamma        Cox, Gamma    FALSE #> 8513   533 0.7284274 0.138699326  fv      Gamma        Cox, Gamma    FALSE #> 8529   534 0.7790291 0.146354155  fv      Gamma        Cox, Gamma    FALSE #> 8545   535 0.9538809 0.176303899  fv      Gamma        Cox, Gamma    FALSE #> 8561   536 0.8270741 0.154370683  fv      Gamma        Cox, Gamma    FALSE #> 8577   537 0.7138513 0.139534596  fv      Gamma        Cox, Gamma    FALSE #> 8593   538 0.6246478          NA  fv      Gamma        Cox, Gamma       NA #> 8609   539 0.8627532 0.161183355  fv      Gamma        Cox, Gamma    FALSE #> 8625   540 0.7660902 0.149389899  fv      Gamma        Cox, Gamma    FALSE #> 8641   541 0.6295377 0.122597777  fv      Gamma        Cox, Gamma    FALSE #> 8657   542 0.8369873 0.157179557  fv      Gamma        Cox, Gamma    FALSE #> 8673   543 0.9027111 0.167848994  fv      Gamma        Cox, Gamma    FALSE #> 8689   544 0.8231412 0.154281762  fv      Gamma        Cox, Gamma    FALSE #> 8705   545 0.6971651 0.133999902  fv      Gamma        Cox, Gamma    FALSE #> 8721   546 0.6917187 0.132692058  fv      Gamma        Cox, Gamma    FALSE #> 8737   547 0.6612332 0.126891190  fv      Gamma        Cox, Gamma    FALSE #> 8753   548 0.6319194 0.006583581  fv      Gamma        Cox, Gamma     TRUE #> 8769   549 0.8020343 0.153784386  fv      Gamma        Cox, Gamma    FALSE #> 8785   550 0.8857710 0.173416696  fv      Gamma        Cox, Gamma    FALSE #> 8801   551 0.7206925 0.137282217  fv      Gamma        Cox, Gamma    FALSE #> 8817   552 0.5655243 0.111609299  fv      Gamma        Cox, Gamma    FALSE #> 8833   553 0.5894449 0.115099271  fv      Gamma        Cox, Gamma    FALSE #> 8849   554 0.6799194 0.131022822  fv      Gamma        Cox, Gamma    FALSE #> 8865   555 0.5942723 0.116121667  fv      Gamma        Cox, Gamma    FALSE #> 8881   556 0.5409466 0.106333958  fv      Gamma        Cox, Gamma    FALSE #> 8897   557 1.1276785 0.208600321  fv      Gamma        Cox, Gamma     TRUE #> 8913   558 0.8056241 0.152243016  fv      Gamma        Cox, Gamma    FALSE #> 8929   559 0.6165829 0.122550777  fv      Gamma        Cox, Gamma    FALSE #> 8945   560 0.7506013 0.143366986  fv      Gamma        Cox, Gamma    FALSE #> 8961   561 0.7560469 0.142619604  fv      Gamma        Cox, Gamma    FALSE #> 8977   562 0.4475603 0.089294336  fv      Gamma        Cox, Gamma    FALSE #> 8993   563 0.7697251 0.146259739  fv      Gamma        Cox, Gamma    FALSE #> 9009   564 0.7596255 0.143001550  fv      Gamma        Cox, Gamma    FALSE #> 9025   565 0.8209886 0.158901699  fv      Gamma        Cox, Gamma    FALSE #> 9041   566 0.8540708 0.160172577  fv      Gamma        Cox, Gamma    FALSE #> 9057   567 0.7239583 0.138160326  fv      Gamma        Cox, Gamma    FALSE #> 9073   568 0.7918967 0.152246336  fv      Gamma        Cox, Gamma    FALSE #> 9089   569 0.6846417 0.132938759  fv      Gamma        Cox, Gamma    FALSE #> 9105   570 0.7180058 0.136793903  fv      Gamma        Cox, Gamma    FALSE #> 9121   571 0.7534625 0.142541419  fv      Gamma        Cox, Gamma    FALSE #> 9137   572 0.8277711 0.154274630  fv      Gamma        Cox, Gamma    FALSE #> 9153   573 0.5338253 0.105713447  fv      Gamma        Cox, Gamma    FALSE #> 9169   574 0.8516856 0.162398703  fv      Gamma        Cox, Gamma    FALSE #> 9185   575 0.7042959 0.134581473  fv      Gamma        Cox, Gamma    FALSE #> 9201   576 0.7417747 0.142360056  fv      Gamma        Cox, Gamma    FALSE #> 9217   577 0.6314368 0.122446267  fv      Gamma        Cox, Gamma    FALSE #> 9233   578 0.6519440 0.125000623  fv      Gamma        Cox, Gamma    FALSE #> 9249   579 0.6465344          NA  fv      Gamma        Cox, Gamma       NA #> 9265   580 0.6101363 0.117780410  fv      Gamma        Cox, Gamma    FALSE #> 9281   581 0.8567743 0.159745166  fv      Gamma        Cox, Gamma    FALSE #> 9297   582 0.4249017 0.084684463  fv      Gamma        Cox, Gamma    FALSE #> 9313   583 0.7812605 0.147186401  fv      Gamma        Cox, Gamma    FALSE #> 9329   584 0.6289872          NA  fv      Gamma        Cox, Gamma       NA #> 9345   585 1.1129083 0.202616476  fv      Gamma        Cox, Gamma     TRUE #> 9361   586 1.0020180 0.183131340  fv      Gamma        Cox, Gamma    FALSE #> 9377   587 0.7823646 0.147627151  fv      Gamma        Cox, Gamma    FALSE #> 9393   588 0.7965984 0.151873142  fv      Gamma        Cox, Gamma    FALSE #> 9409   589 0.5848703 0.113875946  fv      Gamma        Cox, Gamma    FALSE #> 9425   590 0.6723444 0.129201859  fv      Gamma        Cox, Gamma    FALSE #> 9441   591 0.7146685 0.136960728  fv      Gamma        Cox, Gamma    FALSE #> 9457   592 0.8875873 0.165449957  fv      Gamma        Cox, Gamma    FALSE #> 9473   593 0.6956131 0.136694985  fv      Gamma        Cox, Gamma    FALSE #> 9489   594 0.7214667 0.138957335  fv      Gamma        Cox, Gamma    FALSE #> 9505   595 0.7101161 0.135025353  fv      Gamma        Cox, Gamma    FALSE #> 9521   596 0.8418777 0.157263827  fv      Gamma        Cox, Gamma    FALSE #> 9537   597 0.9729782 0.183742916  fv      Gamma        Cox, Gamma    FALSE #> 9553   598 0.7302043 0.138489839  fv      Gamma        Cox, Gamma    FALSE #> 9569   599 1.0924857 0.198613543  fv      Gamma        Cox, Gamma    FALSE #> 9585   600 0.9354165 0.172435311  fv      Gamma        Cox, Gamma    FALSE #> 9601   601 0.6883910 0.131587270  fv      Gamma        Cox, Gamma    FALSE #> 9617   602 0.8070003 0.154414727  fv      Gamma        Cox, Gamma    FALSE #> 9633   603 0.6856989 0.130901389  fv      Gamma        Cox, Gamma    FALSE #> 9649   604 0.8376770 0.164630472  fv      Gamma        Cox, Gamma    FALSE #> 9665   605 0.8981670 0.170534144  fv      Gamma        Cox, Gamma    FALSE #> 9681   606 0.7882221 0.148789284  fv      Gamma        Cox, Gamma    FALSE #> 9697   607 0.6476463 0.125475048  fv      Gamma        Cox, Gamma    FALSE #> 9713   608 0.8155224 0.153555972  fv      Gamma        Cox, Gamma    FALSE #> 9729   609 0.8892325 0.166132966  fv      Gamma        Cox, Gamma    FALSE #> 9745   610 0.7927409 0.149226966  fv      Gamma        Cox, Gamma    FALSE #> 9761   611 0.6492237 0.125252832  fv      Gamma        Cox, Gamma    FALSE #> 9777   612 0.8847558 0.164946654  fv      Gamma        Cox, Gamma    FALSE #> 9793   613 0.7555553 0.143065459  fv      Gamma        Cox, Gamma    FALSE #> 9809   614 0.6999420 0.133898539  fv      Gamma        Cox, Gamma    FALSE #> 9825   615 0.6323970 0.121998668  fv      Gamma        Cox, Gamma    FALSE #> 9841   616 0.9258004 0.171970867  fv      Gamma        Cox, Gamma    FALSE #> 9857   617 0.9810413 0.184675944  fv      Gamma        Cox, Gamma    FALSE #> 9873   618 0.5773346 0.112316606  fv      Gamma        Cox, Gamma    FALSE #> 9889   619 0.6347891 0.122523189  fv      Gamma        Cox, Gamma    FALSE #> 9905   620 0.6827832 0.131100442  fv      Gamma        Cox, Gamma    FALSE #> 9921   621 0.7975355 0.150353049  fv      Gamma        Cox, Gamma    FALSE #> 9937   622 1.1223277 0.204313520  fv      Gamma        Cox, Gamma     TRUE #> 9953   623 0.5579222 0.108700678  fv      Gamma        Cox, Gamma    FALSE #> 9969   624 0.7128043 0.135198610  fv      Gamma        Cox, Gamma    FALSE #> 9985   625 0.6645098 0.127866473  fv      Gamma        Cox, Gamma    FALSE #> 10001  626 0.5434477 0.107111683  fv      Gamma        Cox, Gamma    FALSE #> 10017  627 0.6384977 0.127531672  fv      Gamma        Cox, Gamma    FALSE #> 10033  628 0.7155575 0.135607273  fv      Gamma        Cox, Gamma    FALSE #> 10049  629 0.5743986 0.113030438  fv      Gamma        Cox, Gamma    FALSE #> 10065  630 0.9263040 0.171879492  fv      Gamma        Cox, Gamma    FALSE #> 10081  631 0.8454909 0.163553297  fv      Gamma        Cox, Gamma    FALSE #> 10097  632 0.5915189 0.115112532  fv      Gamma        Cox, Gamma    FALSE #> 10113  633 0.5378909 0.105342707  fv      Gamma        Cox, Gamma    FALSE #> 10129  634 0.5606903 0.109482541  fv      Gamma        Cox, Gamma    FALSE #> 10145  635 0.4726450 0.094667526  fv      Gamma        Cox, Gamma    FALSE #> 10161  636 0.6834728 0.132595448  fv      Gamma        Cox, Gamma    FALSE #> 10177  637 0.7517155 0.142228970  fv      Gamma        Cox, Gamma    FALSE #> 10193  638 0.6135361 0.122501483  fv      Gamma        Cox, Gamma    FALSE #> 10209  639 0.7014499 0.133681174  fv      Gamma        Cox, Gamma    FALSE #> 10225  640 0.6128640          NA  fv      Gamma        Cox, Gamma       NA #> 10241  641 0.6673911 0.127458375  fv      Gamma        Cox, Gamma    FALSE #> 10257  642 0.6815744 0.131201354  fv      Gamma        Cox, Gamma    FALSE #> 10273  643 0.6395380 0.123473684  fv      Gamma        Cox, Gamma    FALSE #> 10289  644 0.9281496 0.178044104  fv      Gamma        Cox, Gamma    FALSE #> 10305  645 0.5058058 0.099576567  fv      Gamma        Cox, Gamma    FALSE #> 10321  646 0.5752018 0.112537616  fv      Gamma        Cox, Gamma    FALSE #> 10337  647 1.0966623 0.201529503  fv      Gamma        Cox, Gamma    FALSE #> 10353  648 0.7244534 0.137071261  fv      Gamma        Cox, Gamma    FALSE #> 10369  649 0.8332207 0.156331374  fv      Gamma        Cox, Gamma    FALSE #> 10385  650 0.9649527 0.179069982  fv      Gamma        Cox, Gamma    FALSE #> 10401  651 0.9464873 0.175101726  fv      Gamma        Cox, Gamma    FALSE #> 10417  652 0.7609635 0.144258476  fv      Gamma        Cox, Gamma    FALSE #> 10433  653 0.9382049 0.177882581  fv      Gamma        Cox, Gamma    FALSE #> 10449  654 0.6062464 0.117645954  fv      Gamma        Cox, Gamma    FALSE #> 10465  655 0.6767305 0.129314528  fv      Gamma        Cox, Gamma    FALSE #> 10481  656 0.7862486 0.148608077  fv      Gamma        Cox, Gamma    FALSE #> 10497  657 0.7137173 0.136369085  fv      Gamma        Cox, Gamma    FALSE #> 10513  658 0.8178731 0.154550758  fv      Gamma        Cox, Gamma    FALSE #> 10529  659 0.8561291 0.161265853  fv      Gamma        Cox, Gamma    FALSE #> 10545  660 0.7951042 0.153064842  fv      Gamma        Cox, Gamma    FALSE #> 10561  661 0.5838602 0.113215726  fv      Gamma        Cox, Gamma    FALSE #> 10577  662 0.4485783 0.089198580  fv      Gamma        Cox, Gamma    FALSE #> 10593  663 0.6581613          NA  fv      Gamma        Cox, Gamma       NA #> 10609  664 0.7241489 0.137001157  fv      Gamma        Cox, Gamma    FALSE #> 10625  665 0.6926612 0.133197792  fv      Gamma        Cox, Gamma    FALSE #> 10641  666 0.6778013 0.132901048  fv      Gamma        Cox, Gamma    FALSE #> 10657  667 0.8867749 0.168166698  fv      Gamma        Cox, Gamma    FALSE #> 10673  668 0.8301043 0.158911230  fv      Gamma        Cox, Gamma    FALSE #> 10689  669 0.5407391 0.106146295  fv      Gamma        Cox, Gamma    FALSE #> 10705  670 0.8485756 0.162192318  fv      Gamma        Cox, Gamma    FALSE #> 10721  671 0.8766589 0.163763076  fv      Gamma        Cox, Gamma    FALSE #> 10737  672 0.6153715          NA  fv      Gamma        Cox, Gamma       NA #> 10753  673 0.6107089 0.117370604  fv      Gamma        Cox, Gamma    FALSE #> 10769  674 0.9545713 0.180865051  fv      Gamma        Cox, Gamma    FALSE #> 10785  675 0.6959295 0.132291736  fv      Gamma        Cox, Gamma    FALSE #> 10801  676 0.5082065 0.102830300  fv      Gamma        Cox, Gamma    FALSE #> 10817  677 0.6335714 0.121472662  fv      Gamma        Cox, Gamma    FALSE #> 10833  678 0.8358190 0.157360400  fv      Gamma        Cox, Gamma    FALSE #> 10849  679 0.9489850 0.175902516  fv      Gamma        Cox, Gamma    FALSE #> 10865  680 0.6831995 0.135084593  fv      Gamma        Cox, Gamma    FALSE #> 10881  681 0.5643254 0.110253548  fv      Gamma        Cox, Gamma    FALSE #> 10897  682 0.7617965 0.143922368  fv      Gamma        Cox, Gamma    FALSE #> 10913  683 0.8612983 0.164005648  fv      Gamma        Cox, Gamma    FALSE #> 10929  684 0.9306887 0.172309343  fv      Gamma        Cox, Gamma    FALSE #> 10945  685 0.6426137 0.123487366  fv      Gamma        Cox, Gamma    FALSE #> 10961  686 0.5504300 0.108056938  fv      Gamma        Cox, Gamma    FALSE #> 10977  687 1.0715471 0.195861853  fv      Gamma        Cox, Gamma    FALSE #> 10993  688 0.7247087 0.137711351  fv      Gamma        Cox, Gamma    FALSE #> 11009  689 0.7044312 0.134177121  fv      Gamma        Cox, Gamma    FALSE #> 11025  690 0.9424856 0.173674021  fv      Gamma        Cox, Gamma    FALSE #> 11041  691 0.7890166 0.149550201  fv      Gamma        Cox, Gamma    FALSE #> 11057  692 0.7272266 0.137587457  fv      Gamma        Cox, Gamma    FALSE #> 11073  693 0.8573916 0.162747887  fv      Gamma        Cox, Gamma    FALSE #> 11089  694 0.8534868 0.161603640  fv      Gamma        Cox, Gamma    FALSE #> 11105  695 0.7322424 0.142478400  fv      Gamma        Cox, Gamma    FALSE #> 11121  696 0.7257254 0.140591529  fv      Gamma        Cox, Gamma    FALSE #> 11137  697 0.7333151 0.139148123  fv      Gamma        Cox, Gamma    FALSE #> 11153  698 0.7079694 0.135061149  fv      Gamma        Cox, Gamma    FALSE #> 11169  699 0.7213398 0.136395589  fv      Gamma        Cox, Gamma    FALSE #> 11185  700 1.1804472 0.212933204  fv      Gamma        Cox, Gamma     TRUE #> 11201  701 0.6387989 0.122746463  fv      Gamma        Cox, Gamma    FALSE #> 11217  702 0.7190115 0.141352091  fv      Gamma        Cox, Gamma    FALSE #> 11233  703 0.5731256 0.112207992  fv      Gamma        Cox, Gamma    FALSE #> 11249  704 0.9037123 0.167031332  fv      Gamma        Cox, Gamma    FALSE #> 11265  705 0.9728518 0.179527679  fv      Gamma        Cox, Gamma    FALSE #> 11281  706 0.7500375 0.141850521  fv      Gamma        Cox, Gamma    FALSE #> 11297  707 0.5756002 0.113226216  fv      Gamma        Cox, Gamma    FALSE #> 11313  708 0.8181883 0.157337000  fv      Gamma        Cox, Gamma    FALSE #> 11329  709 0.7474298 0.141423613  fv      Gamma        Cox, Gamma    FALSE #> 11345  710 0.7454622 0.140549261  fv      Gamma        Cox, Gamma    FALSE #> 11361  711 0.3894059 0.079382350  fv      Gamma        Cox, Gamma    FALSE #> 11377  712 0.7212272 0.137524828  fv      Gamma        Cox, Gamma    FALSE #> 11393  713 0.7565196 0.142332022  fv      Gamma        Cox, Gamma    FALSE #> 11409  714 0.8595678 0.164830902  fv      Gamma        Cox, Gamma    FALSE #> 11425  715 0.9462299 0.175784475  fv      Gamma        Cox, Gamma    FALSE #> 11441  716 0.8149458 0.154563840  fv      Gamma        Cox, Gamma    FALSE #> 11457  717 0.6258843 0.125296314  fv      Gamma        Cox, Gamma    FALSE #> 11473  718 0.7241018 0.138809353  fv      Gamma        Cox, Gamma    FALSE #> 11489  719 0.6472919 0.124029879  fv      Gamma        Cox, Gamma    FALSE #> 11505  720 0.6462965 0.124507001  fv      Gamma        Cox, Gamma    FALSE #> 11521  721 0.8668431 0.163374189  fv      Gamma        Cox, Gamma    FALSE #> 11537  722 0.8751804 0.163803285  fv      Gamma        Cox, Gamma    FALSE #> 11553  723 0.7688477 0.148856537  fv      Gamma        Cox, Gamma    FALSE #> 11569  724 0.6330552 0.122262688  fv      Gamma        Cox, Gamma    FALSE #> 11585  725 0.6439821 0.123472393  fv      Gamma        Cox, Gamma    FALSE #> 11601  726 0.6382621 0.124017757  fv      Gamma        Cox, Gamma    FALSE #> 11617  727 0.8274516 0.157670945  fv      Gamma        Cox, Gamma    FALSE #> 11633  728 0.5470298 0.110455707  fv      Gamma        Cox, Gamma    FALSE #> 11649  729 0.7934510 0.149151202  fv      Gamma        Cox, Gamma    FALSE #> 11665  730 0.9028028 0.172657452  fv      Gamma        Cox, Gamma    FALSE #> 11681  731 0.9106973 0.169985677  fv      Gamma        Cox, Gamma    FALSE #> 11697  732 0.8609186 0.159667483  fv      Gamma        Cox, Gamma    FALSE #> 11713  733 0.5696342 0.111161534  fv      Gamma        Cox, Gamma    FALSE #> 11729  734 0.5714461 0.111644351  fv      Gamma        Cox, Gamma    FALSE #> 11745  735 0.7858057 0.147794812  fv      Gamma        Cox, Gamma    FALSE #> 11761  736 0.8311006 0.159563715  fv      Gamma        Cox, Gamma    FALSE #> 11777  737 0.7011583 0.133559009  fv      Gamma        Cox, Gamma    FALSE #> 11793  738 0.6425217 0.129359897  fv      Gamma        Cox, Gamma    FALSE #> 11809  739 0.6952162 0.132859258  fv      Gamma        Cox, Gamma    FALSE #> 11825  740 0.6816161 0.130493619  fv      Gamma        Cox, Gamma    FALSE #> 11841  741 0.7984124 0.151405815  fv      Gamma        Cox, Gamma    FALSE #> 11857  742 0.6113573 0.118351933  fv      Gamma        Cox, Gamma    FALSE #> 11873  743 0.7768640 0.146725181  fv      Gamma        Cox, Gamma    FALSE #> 11889  744 1.0010037 0.187976904  fv      Gamma        Cox, Gamma    FALSE #> 11905  745 0.6369326 0.124638617  fv      Gamma        Cox, Gamma    FALSE #> 11921  746 0.4547392 0.090878742  fv      Gamma        Cox, Gamma    FALSE #> 11937  747 0.6243564          NA  fv      Gamma        Cox, Gamma       NA #> 11953  748 0.8321617 0.155213104  fv      Gamma        Cox, Gamma    FALSE #> 11969  749 0.6214388 0.120268760  fv      Gamma        Cox, Gamma    FALSE #> 11985  750 0.5547780 0.108170284  fv      Gamma        Cox, Gamma    FALSE #> 12001  751 0.9029269 0.167251872  fv      Gamma        Cox, Gamma    FALSE #> 12017  752 0.8158367 0.153701903  fv      Gamma        Cox, Gamma    FALSE #> 12033  753 0.6268532 0.122830159  fv      Gamma        Cox, Gamma    FALSE #> 12049  754 0.7604952 0.143957643  fv      Gamma        Cox, Gamma    FALSE #> 12065  755 0.7755205 0.146754514  fv      Gamma        Cox, Gamma    FALSE #> 12081  756 1.1338308 0.205371520  fv      Gamma        Cox, Gamma     TRUE #> 12097  757 0.6141619 0.119190168  fv      Gamma        Cox, Gamma    FALSE #> 12113  758 0.5421448 0.106441629  fv      Gamma        Cox, Gamma    FALSE #> 12129  759 0.6135692 0.118641503  fv      Gamma        Cox, Gamma    FALSE #> 12145  760 0.6039901          NA  fv      Gamma        Cox, Gamma       NA #> 12161  761 0.7675576 0.146194900  fv      Gamma        Cox, Gamma    FALSE #> 12177  762 0.6497935 0.124892235  fv      Gamma        Cox, Gamma    FALSE #> 12193  763 0.6141013 0.119005700  fv      Gamma        Cox, Gamma    FALSE #> 12209  764 0.7138323 0.136853512  fv      Gamma        Cox, Gamma    FALSE #> 12225  765 0.6968334 0.134411196  fv      Gamma        Cox, Gamma    FALSE #> 12241  766 0.5653622 0.110834209  fv      Gamma        Cox, Gamma    FALSE #> 12257  767 0.7773964 0.147674261  fv      Gamma        Cox, Gamma    FALSE #> 12273  768 0.7275932 0.138104443  fv      Gamma        Cox, Gamma    FALSE #> 12289  769 0.8012518 0.150258739  fv      Gamma        Cox, Gamma    FALSE #> 12305  770 0.5881467 0.115918836  fv      Gamma        Cox, Gamma    FALSE #> 12321  771 0.5582652 0.109204974  fv      Gamma        Cox, Gamma    FALSE #> 12337  772 0.8615970 0.165608183  fv      Gamma        Cox, Gamma    FALSE #> 12353  773 0.6832303 0.131879273  fv      Gamma        Cox, Gamma    FALSE #> 12369  774 0.7392229 0.139984302  fv      Gamma        Cox, Gamma    FALSE #> 12385  775 0.9718989 0.182805349  fv      Gamma        Cox, Gamma    FALSE #> 12401  776 0.7453084 0.140746137  fv      Gamma        Cox, Gamma    FALSE #> 12417  777 0.6330554 0.122393589  fv      Gamma        Cox, Gamma    FALSE #> 12433  778 0.7985011 0.151646980  fv      Gamma        Cox, Gamma    FALSE #> 12449  779 0.8074756 0.152531003  fv      Gamma        Cox, Gamma    FALSE #> 12465  780 0.8180757 0.154987196  fv      Gamma        Cox, Gamma    FALSE #> 12481  781 0.6082118 0.119222818  fv      Gamma        Cox, Gamma    FALSE #> 12497  782 0.6587172 0.131465834  fv      Gamma        Cox, Gamma    FALSE #> 12513  783 0.7736700 0.145777095  fv      Gamma        Cox, Gamma    FALSE #> 12529  784 0.6471594 0.123949451  fv      Gamma        Cox, Gamma    FALSE #> 12545  785 0.6391755 0.122834514  fv      Gamma        Cox, Gamma    FALSE #> 12561  786 0.9004978 0.168639083  fv      Gamma        Cox, Gamma    FALSE #> 12577  787 0.8098357 0.157221614  fv      Gamma        Cox, Gamma    FALSE #> 12593  788 0.7364478 0.140602985  fv      Gamma        Cox, Gamma    FALSE #> 12609  789 0.8480764 0.161362989  fv      Gamma        Cox, Gamma    FALSE #> 12625  790 0.9009634 0.172274725  fv      Gamma        Cox, Gamma    FALSE #> 12641  791 0.9429739 0.177975160  fv      Gamma        Cox, Gamma    FALSE #> 12657  792 0.9334192 0.173662065  fv      Gamma        Cox, Gamma    FALSE #> 12673  793 0.6720125 0.128866983  fv      Gamma        Cox, Gamma    FALSE #> 12689  794 0.3839860 0.077645568  fv      Gamma        Cox, Gamma    FALSE #> 12705  795 0.6986569 0.134254162  fv      Gamma        Cox, Gamma    FALSE #> 12721  796 0.7909092 0.149755855  fv      Gamma        Cox, Gamma    FALSE #> 12737  797 0.6261971 0.121737443  fv      Gamma        Cox, Gamma    FALSE #> 12753  798 0.5844054 0.114012882  fv      Gamma        Cox, Gamma    FALSE #> 12769  799 0.9180832 0.177794269  fv      Gamma        Cox, Gamma    FALSE #> 12785  800 0.8898310 0.009215322  fv      Gamma        Cox, Gamma     TRUE #> 12801  801 0.6029141 0.118004690  fv      Gamma        Cox, Gamma    FALSE #> 12817  802 0.6136151 0.118209030  fv      Gamma        Cox, Gamma    FALSE #> 12833  803 0.7643843 0.144107978  fv      Gamma        Cox, Gamma    FALSE #> 12849  804 0.7880555 0.148940888  fv      Gamma        Cox, Gamma    FALSE #> 12865  805 0.7998431 0.151085310  fv      Gamma        Cox, Gamma    FALSE #> 12881  806 0.5799163 0.112694012  fv      Gamma        Cox, Gamma    FALSE #> 12897  807 0.9651011 0.178731784  fv      Gamma        Cox, Gamma    FALSE #> 12913  808 0.7025718 0.137651644  fv      Gamma        Cox, Gamma    FALSE #> 12929  809 0.8694688 0.167063978  fv      Gamma        Cox, Gamma    FALSE #> 12945  810 0.7524828 0.142292627  fv      Gamma        Cox, Gamma    FALSE #> 12961  811 0.9760360 0.179659577  fv      Gamma        Cox, Gamma    FALSE #> 12977  812 0.6752901 0.129939984  fv      Gamma        Cox, Gamma    FALSE #> 12993  813 0.8548886 0.159815547  fv      Gamma        Cox, Gamma    FALSE #> 13009  814 0.8475993 0.160224215  fv      Gamma        Cox, Gamma    FALSE #> 13025  815 1.0378135 0.193339139  fv      Gamma        Cox, Gamma    FALSE #> 13041  816 0.6058893 0.118810341  fv      Gamma        Cox, Gamma    FALSE #> 13057  817 0.8294245 0.160278552  fv      Gamma        Cox, Gamma    FALSE #> 13073  818 0.6699606 0.129819938  fv      Gamma        Cox, Gamma    FALSE #> 13089  819 0.9026802 0.171814094  fv      Gamma        Cox, Gamma    FALSE #> 13105  820 0.6607045 0.126534866  fv      Gamma        Cox, Gamma    FALSE #> 13121  821 0.7740695 0.148978813  fv      Gamma        Cox, Gamma    FALSE #> 13137  822 0.5192049 0.101919886  fv      Gamma        Cox, Gamma    FALSE #> 13153  823 0.7124120 0.136595828  fv      Gamma        Cox, Gamma    FALSE #> 13169  824 0.7414032 0.141357073  fv      Gamma        Cox, Gamma    FALSE #> 13185  825 0.5626547 0.109971816  fv      Gamma        Cox, Gamma    FALSE #> 13201  826 0.7043875 0.133119162  fv      Gamma        Cox, Gamma    FALSE #> 13217  827 0.6514503 0.124574860  fv      Gamma        Cox, Gamma    FALSE #> 13233  828 0.9596989 0.181593656  fv      Gamma        Cox, Gamma    FALSE #> 13249  829 0.6007949 0.116361517  fv      Gamma        Cox, Gamma    FALSE #> 13265  830 0.8469501 0.159224212  fv      Gamma        Cox, Gamma    FALSE #> 13281  831 0.5408164 0.107608019  fv      Gamma        Cox, Gamma    FALSE #> 13297  832 0.7255851 0.137920926  fv      Gamma        Cox, Gamma    FALSE #> 13313  833 0.7233601 0.137867717  fv      Gamma        Cox, Gamma    FALSE #> 13329  834 0.5366763 0.106094653  fv      Gamma        Cox, Gamma    FALSE #> 13345  835 0.6807868 0.129887049  fv      Gamma        Cox, Gamma    FALSE #> 13361  836 0.7233304 0.138523590  fv      Gamma        Cox, Gamma    FALSE #> 13377  837 0.6975474 0.134553921  fv      Gamma        Cox, Gamma    FALSE #> 13393  838 0.9069225 0.168108493  fv      Gamma        Cox, Gamma    FALSE #> 13409  839 0.6369026          NA  fv      Gamma        Cox, Gamma       NA #> 13425  840 0.7404369 0.141071662  fv      Gamma        Cox, Gamma    FALSE #> 13441  841 0.7236781 0.136543217  fv      Gamma        Cox, Gamma    FALSE #> 13457  842 0.7269617 0.139559720  fv      Gamma        Cox, Gamma    FALSE #> 13473  843 0.9404634 0.175372253  fv      Gamma        Cox, Gamma    FALSE #> 13489  844 0.7591388 0.146210176  fv      Gamma        Cox, Gamma    FALSE #> 13505  845 0.8950945 0.167596204  fv      Gamma        Cox, Gamma    FALSE #> 13521  846 0.6293815 0.123382026  fv      Gamma        Cox, Gamma    FALSE #> 13537  847 0.6395938 0.126059073  fv      Gamma        Cox, Gamma    FALSE #> 13553  848 0.5252646 0.103677785  fv      Gamma        Cox, Gamma    FALSE #> 13569  849 0.7224527 0.136457894  fv      Gamma        Cox, Gamma    FALSE #> 13585  850 0.6655871 0.127329444  fv      Gamma        Cox, Gamma    FALSE #> 13601  851 0.7693731 0.146390092  fv      Gamma        Cox, Gamma    FALSE #> 13617  852 0.4630289 0.092204110  fv      Gamma        Cox, Gamma    FALSE #> 13633  853 0.7458003 0.141114834  fv      Gamma        Cox, Gamma    FALSE #> 13649  854 0.5495523 0.107672747  fv      Gamma        Cox, Gamma    FALSE #> 13665  855 0.9345197 0.173532238  fv      Gamma        Cox, Gamma    FALSE #> 13681  856 0.8111527 0.152332420  fv      Gamma        Cox, Gamma    FALSE #> 13697  857 0.5890767 0.115410240  fv      Gamma        Cox, Gamma    FALSE #> 13713  858 0.6332795 0.122745694  fv      Gamma        Cox, Gamma    FALSE #> 13729  859 0.6800949 0.133382028  fv      Gamma        Cox, Gamma    FALSE #> 13745  860 0.6622329 0.127201962  fv      Gamma        Cox, Gamma    FALSE #> 13761  861 0.8276490 0.155843336  fv      Gamma        Cox, Gamma    FALSE #> 13777  862 0.6250495 0.119957952  fv      Gamma        Cox, Gamma    FALSE #> 13793  863 0.7531449 0.143142148  fv      Gamma        Cox, Gamma    FALSE #> 13809  864 0.7254803 0.138882972  fv      Gamma        Cox, Gamma    FALSE #> 13825  865 0.7898965 0.149750258  fv      Gamma        Cox, Gamma    FALSE #> 13841  866 0.6936516 0.132582282  fv      Gamma        Cox, Gamma    FALSE #> 13857  867 0.7247385 0.138061579  fv      Gamma        Cox, Gamma    FALSE #> 13873  868 0.7636970 0.144736951  fv      Gamma        Cox, Gamma    FALSE #> 13889  869 0.7396685 0.140631206  fv      Gamma        Cox, Gamma    FALSE #> 13905  870 0.6878653 0.134946113  fv      Gamma        Cox, Gamma    FALSE #> 13921  871 0.9322391 0.174943111  fv      Gamma        Cox, Gamma    FALSE #> 13937  872 0.8718313 0.164024706  fv      Gamma        Cox, Gamma    FALSE #> 13953  873 0.8129908 0.152112199  fv      Gamma        Cox, Gamma    FALSE #> 13969  874 1.0572431 0.200675949  fv      Gamma        Cox, Gamma    FALSE #> 13985  875 0.6157512 0.118829283  fv      Gamma        Cox, Gamma    FALSE #> 14001  876 0.6630098 0.126690567  fv      Gamma        Cox, Gamma    FALSE #> 14017  877 0.7466926 0.141466654  fv      Gamma        Cox, Gamma    FALSE #> 14033  878 0.7914158 0.152095093  fv      Gamma        Cox, Gamma    FALSE #> 14049  879 0.7052097 0.139283078  fv      Gamma        Cox, Gamma    FALSE #> 14065  880 0.9210401 0.170865848  fv      Gamma        Cox, Gamma    FALSE #> 14081  881 0.8075285 0.152978998  fv      Gamma        Cox, Gamma    FALSE #> 14097  882 0.9622325 0.177253168  fv      Gamma        Cox, Gamma    FALSE #> 14113  883 0.6113031 0.118690674  fv      Gamma        Cox, Gamma    FALSE #> 14129  884 0.5963768 0.115010525  fv      Gamma        Cox, Gamma    FALSE #> 14145  885 0.5900931 0.114649215  fv      Gamma        Cox, Gamma    FALSE #> 14161  886 0.5895583 0.114812076  fv      Gamma        Cox, Gamma    FALSE #> 14177  887 0.7148329 0.136753996  fv      Gamma        Cox, Gamma    FALSE #> 14193  888 0.9594745 0.176947839  fv      Gamma        Cox, Gamma    FALSE #> 14209  889 0.8042972 0.150368824  fv      Gamma        Cox, Gamma    FALSE #> 14225  890 0.6175176 0.120106236  fv      Gamma        Cox, Gamma    FALSE #> 14241  891 0.5137172 0.100840519  fv      Gamma        Cox, Gamma    FALSE #> 14257  892 0.6850107 0.131015607  fv      Gamma        Cox, Gamma    FALSE #> 14273  893 0.8293255 0.157982630  fv      Gamma        Cox, Gamma    FALSE #> 14289  894 0.5677705 0.110836627  fv      Gamma        Cox, Gamma    FALSE #> 14305  895 0.7644482 0.145093246  fv      Gamma        Cox, Gamma    FALSE #> 14321  896 0.8710288 0.162208151  fv      Gamma        Cox, Gamma    FALSE #> 14337  897 0.7168600 0.136395174  fv      Gamma        Cox, Gamma    FALSE #> 14353  898 0.9065450 0.167962428  fv      Gamma        Cox, Gamma    FALSE #> 14369  899 0.7682189 0.146120927  fv      Gamma        Cox, Gamma    FALSE #> 14385  900 0.7950990 0.152564307  fv      Gamma        Cox, Gamma    FALSE #> 14401  901 0.6035077          NA  fv      Gamma        Cox, Gamma       NA #> 14417  902 0.5803465 0.112617990  fv      Gamma        Cox, Gamma    FALSE #> 14433  903 0.6449096 0.123722630  fv      Gamma        Cox, Gamma    FALSE #> 14449  904 1.0645195 0.202580828  fv      Gamma        Cox, Gamma    FALSE #> 14465  905 0.6154062 0.118202301  fv      Gamma        Cox, Gamma    FALSE #> 14481  906 0.9287891 0.171263363  fv      Gamma        Cox, Gamma    FALSE #> 14497  907 0.7180920 0.136679548  fv      Gamma        Cox, Gamma    FALSE #> 14513  908 0.6552036 0.129720385  fv      Gamma        Cox, Gamma    FALSE #> 14529  909 0.6176879 0.120066685  fv      Gamma        Cox, Gamma    FALSE #> 14545  910 0.5521694 0.107962585  fv      Gamma        Cox, Gamma    FALSE #> 14561  911 0.7069066 0.138490781  fv      Gamma        Cox, Gamma    FALSE #> 14577  912 0.5462190 0.106165748  fv      Gamma        Cox, Gamma    FALSE #> 14593  913 0.7016262 0.133463712  fv      Gamma        Cox, Gamma    FALSE #> 14609  914 0.6332994 0.123546571  fv      Gamma        Cox, Gamma    FALSE #> 14625  915 0.8871169 0.168167223  fv      Gamma        Cox, Gamma    FALSE #> 14641  916 0.5314523 0.103737093  fv      Gamma        Cox, Gamma    FALSE #> 14657  917 0.8251601 0.158076990  fv      Gamma        Cox, Gamma    FALSE #> 14673  918 0.7812981 0.146882310  fv      Gamma        Cox, Gamma    FALSE #> 14689  919 0.5633497 0.109510022  fv      Gamma        Cox, Gamma    FALSE #> 14705  920 0.7551588 0.142268945  fv      Gamma        Cox, Gamma    FALSE #> 14721  921 0.8233179 0.155619571  fv      Gamma        Cox, Gamma    FALSE #> 14737  922 1.0592208 0.198177894  fv      Gamma        Cox, Gamma    FALSE #> 14753  923 0.7166090 0.136329906  fv      Gamma        Cox, Gamma    FALSE #> 14769  924 0.7695951 0.144746860  fv      Gamma        Cox, Gamma    FALSE #> 14785  925 0.8674089 0.165902857  fv      Gamma        Cox, Gamma    FALSE #> 14801  926 0.7045694 0.133491756  fv      Gamma        Cox, Gamma    FALSE #> 14817  927 0.4593230 0.091649779  fv      Gamma        Cox, Gamma    FALSE #> 14833  928 0.6908884 0.131414692  fv      Gamma        Cox, Gamma    FALSE #> 14849  929 0.7466114 0.142611050  fv      Gamma        Cox, Gamma    FALSE #> 14865  930 0.8842713 0.169298190  fv      Gamma        Cox, Gamma    FALSE #> 14881  931 0.6753965 0.128818557  fv      Gamma        Cox, Gamma    FALSE #> 14897  932 0.8354712 0.155898458  fv      Gamma        Cox, Gamma    FALSE #> 14913  933 0.6292981 0.121754957  fv      Gamma        Cox, Gamma    FALSE #> 14929  934 0.6014700 0.116226490  fv      Gamma        Cox, Gamma    FALSE #> 14945  935 0.5048390 0.100465756  fv      Gamma        Cox, Gamma    FALSE #> 14961  936 0.5914851 0.114415232  fv      Gamma        Cox, Gamma    FALSE #> 14977  937 1.1046727 0.204362478  fv      Gamma        Cox, Gamma    FALSE #> 14993  938 0.7889907 0.149274856  fv      Gamma        Cox, Gamma    FALSE #> 15009  939 0.8269311 0.155176151  fv      Gamma        Cox, Gamma    FALSE #> 15025  940 0.7645462 0.144080751  fv      Gamma        Cox, Gamma    FALSE #> 15041  941 0.6339856 0.122117198  fv      Gamma        Cox, Gamma    FALSE #> 15057  942 0.6443675 0.124341205  fv      Gamma        Cox, Gamma    FALSE #> 15073  943 0.4804556 0.095616415  fv      Gamma        Cox, Gamma    FALSE #> 15089  944 0.6182545 0.118864711  fv      Gamma        Cox, Gamma    FALSE #> 15105  945 0.6165893 0.119585898  fv      Gamma        Cox, Gamma    FALSE #> 15121  946 0.7660069 0.148721347  fv      Gamma        Cox, Gamma    FALSE #> 15137  947 0.6810811 0.132003647  fv      Gamma        Cox, Gamma    FALSE #> 15153  948 0.5142477 0.102747891  fv      Gamma        Cox, Gamma    FALSE #> 15169  949 0.6180526 0.120672028  fv      Gamma        Cox, Gamma    FALSE #> 15185  950 0.6232314 0.121836187  fv      Gamma        Cox, Gamma    FALSE #> 15201  951 0.7127207 0.135731437  fv      Gamma        Cox, Gamma    FALSE #> 15217  952 0.6730731 0.129521227  fv      Gamma        Cox, Gamma    FALSE #> 15233  953 1.0916190 0.201684689  fv      Gamma        Cox, Gamma    FALSE #> 15249  954 0.6736457 0.128998241  fv      Gamma        Cox, Gamma    FALSE #> 15265  955 0.8188607 0.153567795  fv      Gamma        Cox, Gamma    FALSE #> 15281  956 0.6635977 0.128355306  fv      Gamma        Cox, Gamma    FALSE #> 15297  957 0.6342700 0.123055464  fv      Gamma        Cox, Gamma    FALSE #> 15313  958 0.5356595 0.105054232  fv      Gamma        Cox, Gamma    FALSE #> 15329  959 0.5970231 0.115463296  fv      Gamma        Cox, Gamma    FALSE #> 15345  960 0.7817517 0.148307504  fv      Gamma        Cox, Gamma    FALSE #> 15361  961 0.5115240 0.101112635  fv      Gamma        Cox, Gamma    FALSE #> 15377  962 0.9019772 0.168201411  fv      Gamma        Cox, Gamma    FALSE #> 15393  963 0.8333257 0.157848012  fv      Gamma        Cox, Gamma    FALSE #> 15409  964 0.6911721 0.132489255  fv      Gamma        Cox, Gamma    FALSE #> 15425  965 0.6365177          NA  fv      Gamma        Cox, Gamma       NA #> 15441  966 0.7677420 0.146639440  fv      Gamma        Cox, Gamma    FALSE #> 15457  967 0.6649532 0.127278523  fv      Gamma        Cox, Gamma    FALSE #> 15473  968 0.5605857          NA  fv      Gamma        Cox, Gamma       NA #> 15489  969 0.7488110 0.144103923  fv      Gamma        Cox, Gamma    FALSE #> 15505  970 0.7009266 0.138336093  fv      Gamma        Cox, Gamma    FALSE #> 15521  971 0.6355460 0.123055558  fv      Gamma        Cox, Gamma    FALSE #> 15537  972 0.6550597 0.129518392  fv      Gamma        Cox, Gamma    FALSE #> 15553  973 0.9634266 0.184669702  fv      Gamma        Cox, Gamma    FALSE #> 15569  974 0.5254167 0.103755606  fv      Gamma        Cox, Gamma    FALSE #> 15585  975 0.5023696 0.099748952  fv      Gamma        Cox, Gamma    FALSE #> 15601  976 0.7553050 0.143657040  fv      Gamma        Cox, Gamma    FALSE #> 15617  977 0.8486740 0.158219365  fv      Gamma        Cox, Gamma    FALSE #> 15633  978 0.8302479 0.159751197  fv      Gamma        Cox, Gamma    FALSE #> 15649  979 0.8144014 0.157040892  fv      Gamma        Cox, Gamma    FALSE #> 15665  980 0.5347503 0.104809583  fv      Gamma        Cox, Gamma    FALSE #> 15681  981 0.7146458 0.137812497  fv      Gamma        Cox, Gamma    FALSE #> 15697  982 0.9672795 0.181190607  fv      Gamma        Cox, Gamma    FALSE #> 15713  983 0.5328782 0.105163422  fv      Gamma        Cox, Gamma    FALSE #> 15729  984 0.7516136 0.142836565  fv      Gamma        Cox, Gamma    FALSE #> 15745  985 0.8197373 0.157629048  fv      Gamma        Cox, Gamma    FALSE #> 15761  986 0.6112163 0.117185425  fv      Gamma        Cox, Gamma    FALSE #> 15777  987 0.5479787 0.107370042  fv      Gamma        Cox, Gamma    FALSE #> 15793  988 0.6274646 0.121024201  fv      Gamma        Cox, Gamma    FALSE #> 15809  989 0.7944407 0.149409280  fv      Gamma        Cox, Gamma    FALSE #> 15825  990 0.7107532 0.134620748  fv      Gamma        Cox, Gamma    FALSE #> 15841  991 0.7552528 0.144020517  fv      Gamma        Cox, Gamma    FALSE #> 15857  992 0.7777255 0.148341692  fv      Gamma        Cox, Gamma    FALSE #> 15873  993 0.9434033 0.174832389  fv      Gamma        Cox, Gamma    FALSE #> 15889  994 0.6601987 0.127035638  fv      Gamma        Cox, Gamma    FALSE #> 15905  995 0.8169684 0.154338190  fv      Gamma        Cox, Gamma    FALSE #> 15921  996 0.6693038 0.128326952  fv      Gamma        Cox, Gamma    FALSE #> 15937  997 0.6015899 0.120247558  fv      Gamma        Cox, Gamma    FALSE #> 15953  998 0.6444796          NA  fv      Gamma        Cox, Gamma       NA #> 15969  999 0.5082930 0.099750960  fv      Gamma        Cox, Gamma    FALSE #> 15985 1000 0.4986563 0.099227493  fv      Gamma        Cox, Gamma    FALSE #> 2        1 0.8396248 0.166336769  fv      Gamma   Cox, Log-Normal    FALSE #> 18       2 0.8654809 0.287973324  fv      Gamma   Cox, Log-Normal    FALSE #> 34       3 1.5533362 0.443124033  fv      Gamma   Cox, Log-Normal     TRUE #> 50       4 1.2021700 0.231528152  fv      Gamma   Cox, Log-Normal    FALSE #> 66       5 0.9069256 0.231546211  fv      Gamma   Cox, Log-Normal    FALSE #> 82       6 0.9705696 0.123099170  fv      Gamma   Cox, Log-Normal    FALSE #> 98       7 0.9037494 0.210255478  fv      Gamma   Cox, Log-Normal    FALSE #> 114      8 1.3330730 0.290669413  fv      Gamma   Cox, Log-Normal    FALSE #> 130      9 1.2289061 0.328816511  fv      Gamma   Cox, Log-Normal    FALSE #> 146     10 0.9917595 0.216966969  fv      Gamma   Cox, Log-Normal    FALSE #> 162     11 1.0384351 0.279205813  fv      Gamma   Cox, Log-Normal    FALSE #> 178     12 1.4401730 0.363584050  fv      Gamma   Cox, Log-Normal    FALSE #> 194     13 1.1820887 0.272273545  fv      Gamma   Cox, Log-Normal    FALSE #> 210     14 0.7876591 0.215587735  fv      Gamma   Cox, Log-Normal    FALSE #> 226     15 1.1958391 0.297749174  fv      Gamma   Cox, Log-Normal    FALSE #> 242     16 1.2056374 0.239853982  fv      Gamma   Cox, Log-Normal    FALSE #> 258     17 0.7638555 0.152259647  fv      Gamma   Cox, Log-Normal    FALSE #> 274     18 0.5600481 0.242034309  fv      Gamma   Cox, Log-Normal    FALSE #> 290     19 0.8972620 0.206362814  fv      Gamma   Cox, Log-Normal    FALSE #> 306     20 1.2974784 0.351726424  fv      Gamma   Cox, Log-Normal    FALSE #> 322     21 0.6876797 0.226521087  fv      Gamma   Cox, Log-Normal    FALSE #> 338     22 1.2148856 0.314376529  fv      Gamma   Cox, Log-Normal    FALSE #> 354     23 0.8145580 0.191955407  fv      Gamma   Cox, Log-Normal    FALSE #> 370     24 1.0265042 0.210536939  fv      Gamma   Cox, Log-Normal    FALSE #> 386     25 1.1179286 0.310945298  fv      Gamma   Cox, Log-Normal    FALSE #> 402     26 0.9579917 0.258514556  fv      Gamma   Cox, Log-Normal    FALSE #> 418     27 1.7975474 0.493417117  fv      Gamma   Cox, Log-Normal     TRUE #> 434     28 1.4423476 0.315633062  fv      Gamma   Cox, Log-Normal    FALSE #> 450     29 1.2699356 0.241097065  fv      Gamma   Cox, Log-Normal    FALSE #> 466     30 1.4047494 0.406179915  fv      Gamma   Cox, Log-Normal    FALSE #> 482     31 0.8005746 0.266232147  fv      Gamma   Cox, Log-Normal    FALSE #> 498     32 0.9957436 0.261294995  fv      Gamma   Cox, Log-Normal    FALSE #> 514     33 0.8044589 0.172836665  fv      Gamma   Cox, Log-Normal    FALSE #> 530     34 0.7033578 0.165484797  fv      Gamma   Cox, Log-Normal    FALSE #> 546     35 1.0301148 0.275033997  fv      Gamma   Cox, Log-Normal    FALSE #> 562     36 0.7542718 0.277262843  fv      Gamma   Cox, Log-Normal    FALSE #> 578     37 0.7112477 0.143086191  fv      Gamma   Cox, Log-Normal    FALSE #> 594     38 0.6321543 0.120638937  fv      Gamma   Cox, Log-Normal    FALSE #> 610     39 0.9190196 0.162403199  fv      Gamma   Cox, Log-Normal    FALSE #> 626     40 0.5901511 0.153295406  fv      Gamma   Cox, Log-Normal    FALSE #> 642     41 1.6955260 0.274068495  fv      Gamma   Cox, Log-Normal     TRUE #> 658     42 0.9786594 0.338436250  fv      Gamma   Cox, Log-Normal    FALSE #> 674     43 1.0846014 0.238001169  fv      Gamma   Cox, Log-Normal    FALSE #> 690     44 1.0670686 0.209168137  fv      Gamma   Cox, Log-Normal    FALSE #> 706     45 0.9094972 0.153713130  fv      Gamma   Cox, Log-Normal    FALSE #> 722     46 0.8628380 0.143624017  fv      Gamma   Cox, Log-Normal    FALSE #> 738     47 1.3744833 0.379085783  fv      Gamma   Cox, Log-Normal    FALSE #> 754     48 0.9447438 0.241373759  fv      Gamma   Cox, Log-Normal    FALSE #> 770     49 1.2051056 0.332843614  fv      Gamma   Cox, Log-Normal    FALSE #> 786     50 1.0122736 0.235362960  fv      Gamma   Cox, Log-Normal    FALSE #> 802     51 1.2202208 0.297438475  fv      Gamma   Cox, Log-Normal    FALSE #> 818     52 0.6319282 0.158343089  fv      Gamma   Cox, Log-Normal    FALSE #> 834     53 0.7892154 0.148666919  fv      Gamma   Cox, Log-Normal    FALSE #> 850     54 0.6218626 0.147453939  fv      Gamma   Cox, Log-Normal    FALSE #> 866     55 1.0992895 0.242091300  fv      Gamma   Cox, Log-Normal    FALSE #> 882     56 0.7880115 0.207821575  fv      Gamma   Cox, Log-Normal    FALSE #> 898     57 1.0838536 0.252999308  fv      Gamma   Cox, Log-Normal    FALSE #> 914     58 0.9053863 0.269296974  fv      Gamma   Cox, Log-Normal    FALSE #> 930     59 0.8521828 0.183532101  fv      Gamma   Cox, Log-Normal    FALSE #> 946     60 1.1226700 0.315581488  fv      Gamma   Cox, Log-Normal    FALSE #> 962     61 0.8470775 0.165184536  fv      Gamma   Cox, Log-Normal    FALSE #> 978     62 0.6807293 0.158237205  fv      Gamma   Cox, Log-Normal    FALSE #> 994     63 1.1740857 0.253571694  fv      Gamma   Cox, Log-Normal    FALSE #> 1010    64 0.8143805 0.154909462  fv      Gamma   Cox, Log-Normal    FALSE #> 1026    65 0.8776911 0.151461233  fv      Gamma   Cox, Log-Normal    FALSE #> 1042    66 0.6450936 0.146446549  fv      Gamma   Cox, Log-Normal    FALSE #> 1058    67 1.1252565 0.202649366  fv      Gamma   Cox, Log-Normal    FALSE #> 1074    68 0.9440104 0.190197229  fv      Gamma   Cox, Log-Normal    FALSE #> 1090    69 0.6562820 0.142885574  fv      Gamma   Cox, Log-Normal    FALSE #> 1106    70 0.8936893 0.304947589  fv      Gamma   Cox, Log-Normal    FALSE #> 1122    71 1.2357687 0.253047569  fv      Gamma   Cox, Log-Normal    FALSE #> 1138    72 0.7974302 0.195318813  fv      Gamma   Cox, Log-Normal    FALSE #> 1154    73 0.5968091 0.117975560  fv      Gamma   Cox, Log-Normal    FALSE #> 1170    74 0.8786436 0.164497228  fv      Gamma   Cox, Log-Normal    FALSE #> 1186    75 0.9750754 0.226532064  fv      Gamma   Cox, Log-Normal    FALSE #> 1202    76 0.9645318 0.277393275  fv      Gamma   Cox, Log-Normal    FALSE #> 1218    77 1.0142834 0.249169464  fv      Gamma   Cox, Log-Normal    FALSE #> 1234    78 1.4324625 0.392466363  fv      Gamma   Cox, Log-Normal    FALSE #> 1250    79 2.0973063 0.420079538  fv      Gamma   Cox, Log-Normal     TRUE #> 1266    80 0.7760451 0.266768649  fv      Gamma   Cox, Log-Normal    FALSE #> 1282    81 1.2518287 0.326399591  fv      Gamma   Cox, Log-Normal    FALSE #> 1298    82 0.9445711 0.170469026  fv      Gamma   Cox, Log-Normal    FALSE #> 1314    83 0.6203977 0.269831486  fv      Gamma   Cox, Log-Normal    FALSE #> 1330    84 0.9623414 0.181377810  fv      Gamma   Cox, Log-Normal    FALSE #> 1346    85 0.8411381 0.151718027  fv      Gamma   Cox, Log-Normal    FALSE #> 1362    86 0.8777074 0.173496863  fv      Gamma   Cox, Log-Normal    FALSE #> 1378    87 0.7852935 0.148358262  fv      Gamma   Cox, Log-Normal    FALSE #> 1394    88 0.8880239 0.169358612  fv      Gamma   Cox, Log-Normal    FALSE #> 1410    89 1.0105583 0.218935211  fv      Gamma   Cox, Log-Normal    FALSE #> 1426    90 1.1248867 0.226352162  fv      Gamma   Cox, Log-Normal    FALSE #> 1442    91 0.9313413 0.176657570  fv      Gamma   Cox, Log-Normal    FALSE #> 1458    92 0.8291607 0.161043102  fv      Gamma   Cox, Log-Normal    FALSE #> 1474    93 1.4062271 0.492947581  fv      Gamma   Cox, Log-Normal     TRUE #> 1490    94 1.1792259 0.371694722  fv      Gamma   Cox, Log-Normal    FALSE #> 1506    95 0.9422527 0.186808785  fv      Gamma   Cox, Log-Normal    FALSE #> 1522    96 0.5352317 0.122349552  fv      Gamma   Cox, Log-Normal    FALSE #> 1538    97 0.7041875 0.129219142  fv      Gamma   Cox, Log-Normal    FALSE #> 1554    98 1.0580233 0.191281068  fv      Gamma   Cox, Log-Normal    FALSE #> 1570    99 0.7207367 0.195627282  fv      Gamma   Cox, Log-Normal    FALSE #> 1586   100 1.2143961 0.232039398  fv      Gamma   Cox, Log-Normal    FALSE #> 1602   101 1.1645575 0.202974678  fv      Gamma   Cox, Log-Normal    FALSE #> 1618   102 0.9260904 0.205704353  fv      Gamma   Cox, Log-Normal    FALSE #> 1634   103 1.3313203 0.415434246  fv      Gamma   Cox, Log-Normal    FALSE #> 1650   104 1.0674271 0.230488475  fv      Gamma   Cox, Log-Normal    FALSE #> 1666   105 1.2580642 0.312120608  fv      Gamma   Cox, Log-Normal    FALSE #> 1682   106 0.8964461 0.176933658  fv      Gamma   Cox, Log-Normal    FALSE #> 1698   107 1.3021989 0.320620447  fv      Gamma   Cox, Log-Normal    FALSE #> 1714   108 1.1976726 0.374873974  fv      Gamma   Cox, Log-Normal    FALSE #> 1730   109 0.9569265 0.273685851  fv      Gamma   Cox, Log-Normal    FALSE #> 1746   110 1.0515898 0.268561562  fv      Gamma   Cox, Log-Normal    FALSE #> 1762   111 1.1520637 0.261829502  fv      Gamma   Cox, Log-Normal    FALSE #> 1778   112 0.5659670 0.130417896  fv      Gamma   Cox, Log-Normal    FALSE #> 1794   113 0.6317424 0.122015603  fv      Gamma   Cox, Log-Normal    FALSE #> 1810   114 1.6902270 0.334508909  fv      Gamma   Cox, Log-Normal     TRUE #> 1826   115 0.8076343 0.168987445  fv      Gamma   Cox, Log-Normal    FALSE #> 1842   116 0.5972826 0.130764421  fv      Gamma   Cox, Log-Normal    FALSE #> 1858   117 1.0718606 0.210925331  fv      Gamma   Cox, Log-Normal    FALSE #> 1874   118 0.6408203 0.135263593  fv      Gamma   Cox, Log-Normal    FALSE #> 1890   119 0.7973938 0.174571464  fv      Gamma   Cox, Log-Normal    FALSE #> 1906   120 0.9153147 0.177857493  fv      Gamma   Cox, Log-Normal    FALSE #> 1922   121 0.7644599 0.150392418  fv      Gamma   Cox, Log-Normal    FALSE #> 1938   122 0.8651735 0.261036284  fv      Gamma   Cox, Log-Normal    FALSE #> 1954   123 0.9257951 0.187252850  fv      Gamma   Cox, Log-Normal    FALSE #> 1970   124 0.9726617 0.154366389  fv      Gamma   Cox, Log-Normal    FALSE #> 1986   125 1.2347948 0.317895986  fv      Gamma   Cox, Log-Normal    FALSE #> 2002   126 1.5107344 0.412559767  fv      Gamma   Cox, Log-Normal    FALSE #> 2018   127 1.0864985 0.244291312  fv      Gamma   Cox, Log-Normal    FALSE #> 2034   128 1.0878460 0.217467789  fv      Gamma   Cox, Log-Normal    FALSE #> 2050   129 0.7731209 0.303435174  fv      Gamma   Cox, Log-Normal    FALSE #> 2066   130 0.8530204 0.197021469  fv      Gamma   Cox, Log-Normal    FALSE #> 2082   131 0.8648655 0.165310174  fv      Gamma   Cox, Log-Normal    FALSE #> 2098   132 1.0140972 0.302995158  fv      Gamma   Cox, Log-Normal    FALSE #> 2114   133 0.9104868 0.221438344  fv      Gamma   Cox, Log-Normal    FALSE #> 2130   134 1.0784862 0.271217304  fv      Gamma   Cox, Log-Normal    FALSE #> 2146   135 0.7869113 0.180651674  fv      Gamma   Cox, Log-Normal    FALSE #> 2162   136 0.9755650 0.258643410  fv      Gamma   Cox, Log-Normal    FALSE #> 2178   137 1.2555462 0.298280359  fv      Gamma   Cox, Log-Normal    FALSE #> 2194   138 1.2653651 0.320038448  fv      Gamma   Cox, Log-Normal    FALSE #> 2210   139 0.7961798 0.144604970  fv      Gamma   Cox, Log-Normal    FALSE #> 2226   140 1.0511116 0.243823137  fv      Gamma   Cox, Log-Normal    FALSE #> 2242   141 0.7462247 0.208792390  fv      Gamma   Cox, Log-Normal    FALSE #> 2258   142 0.9738903 0.212138716  fv      Gamma   Cox, Log-Normal    FALSE #> 2274   143 1.5330380 0.537623136  fv      Gamma   Cox, Log-Normal     TRUE #> 2290   144 1.1149075 0.230445555  fv      Gamma   Cox, Log-Normal    FALSE #> 2306   145 0.8547372 0.185823683  fv      Gamma   Cox, Log-Normal    FALSE #> 2322   146 0.8861187 0.183574772  fv      Gamma   Cox, Log-Normal    FALSE #> 2338   147 1.0399587 0.194159810  fv      Gamma   Cox, Log-Normal    FALSE #> 2354   148 0.6173024 0.109281577  fv      Gamma   Cox, Log-Normal    FALSE #> 2370   149 0.8373295 0.191571256  fv      Gamma   Cox, Log-Normal    FALSE #> 2386   150 1.1780887 0.217442230  fv      Gamma   Cox, Log-Normal    FALSE #> 2402   151 1.1285433 0.226278803  fv      Gamma   Cox, Log-Normal    FALSE #> 2418   152 1.1992517 0.394939611  fv      Gamma   Cox, Log-Normal    FALSE #> 2434   153 0.6319684 0.172725513  fv      Gamma   Cox, Log-Normal    FALSE #> 2450   154 1.1200567 0.236910662  fv      Gamma   Cox, Log-Normal    FALSE #> 2466   155 0.9404373 0.309352450  fv      Gamma   Cox, Log-Normal    FALSE #> 2482   156 0.9335558 0.170459226  fv      Gamma   Cox, Log-Normal    FALSE #> 2498   157 1.4355503 0.361703696  fv      Gamma   Cox, Log-Normal    FALSE #> 2514   158 1.4701395 0.366841193  fv      Gamma   Cox, Log-Normal    FALSE #> 2530   159 0.6612553 0.189431483  fv      Gamma   Cox, Log-Normal    FALSE #> 2546   160 0.6884649 0.160081027  fv      Gamma   Cox, Log-Normal    FALSE #> 2562   161 1.7235061 0.366167519  fv      Gamma   Cox, Log-Normal     TRUE #> 2578   162 0.9637307 0.277366991  fv      Gamma   Cox, Log-Normal    FALSE #> 2594   163 0.6826128 0.123999357  fv      Gamma   Cox, Log-Normal    FALSE #> 2610   164 1.2137278 0.254986878  fv      Gamma   Cox, Log-Normal    FALSE #> 2626   165 1.0759865 0.243107518  fv      Gamma   Cox, Log-Normal    FALSE #> 2642   166 1.1514913 0.353009050  fv      Gamma   Cox, Log-Normal    FALSE #> 2658   167 1.3171715 0.267054689  fv      Gamma   Cox, Log-Normal    FALSE #> 2674   168 1.0866206 0.235629785  fv      Gamma   Cox, Log-Normal    FALSE #> 2690   169 0.9467015 0.224115190  fv      Gamma   Cox, Log-Normal    FALSE #> 2706   170 0.9395929 0.217597367  fv      Gamma   Cox, Log-Normal    FALSE #> 2722   171 0.9618300 0.263408111  fv      Gamma   Cox, Log-Normal    FALSE #> 2738   172 1.1425683 0.242325710  fv      Gamma   Cox, Log-Normal    FALSE #> 2754   173 0.7877272 0.217794070  fv      Gamma   Cox, Log-Normal    FALSE #> 2770   174 1.1282426 0.267735233  fv      Gamma   Cox, Log-Normal    FALSE #> 2786   175 0.8178924 0.230738271  fv      Gamma   Cox, Log-Normal    FALSE #> 2802   176 0.8741514 0.162586064  fv      Gamma   Cox, Log-Normal    FALSE #> 2818   177 0.7687814 0.283467846  fv      Gamma   Cox, Log-Normal    FALSE #> 2834   178 1.1744687 0.211056326  fv      Gamma   Cox, Log-Normal    FALSE #> 2850   179 0.7526095 0.150027385  fv      Gamma   Cox, Log-Normal    FALSE #> 2866   180 1.0216310 0.316148826  fv      Gamma   Cox, Log-Normal    FALSE #> 2882   181 1.1712040 0.260266639  fv      Gamma   Cox, Log-Normal    FALSE #> 2898   182 0.9333976 0.175417306  fv      Gamma   Cox, Log-Normal    FALSE #> 2914   183 0.7609429 0.152764885  fv      Gamma   Cox, Log-Normal    FALSE #> 2930   184 0.9364676 0.263118357  fv      Gamma   Cox, Log-Normal    FALSE #> 2946   185 1.1970108 0.256427056  fv      Gamma   Cox, Log-Normal    FALSE #> 2962   186 1.3811930 0.386834280  fv      Gamma   Cox, Log-Normal    FALSE #> 2978   187 0.9677626 0.218961822  fv      Gamma   Cox, Log-Normal    FALSE #> 2994   188 0.6677381 0.129193425  fv      Gamma   Cox, Log-Normal    FALSE #> 3010   189 1.0300136 0.181675457  fv      Gamma   Cox, Log-Normal    FALSE #> 3026   190 0.9781161 0.186623640  fv      Gamma   Cox, Log-Normal    FALSE #> 3042   191 1.0047812 0.234422284  fv      Gamma   Cox, Log-Normal    FALSE #> 3058   192 1.0481335 0.313856424  fv      Gamma   Cox, Log-Normal    FALSE #> 3074   193 0.8578876 0.206851646  fv      Gamma   Cox, Log-Normal    FALSE #> 3090   194 0.8025329 0.177765199  fv      Gamma   Cox, Log-Normal    FALSE #> 3106   195 1.0948348 0.189268663  fv      Gamma   Cox, Log-Normal    FALSE #> 3122   196 1.1531601 0.315355691  fv      Gamma   Cox, Log-Normal    FALSE #> 3138   197 0.9174118 0.146017107  fv      Gamma   Cox, Log-Normal    FALSE #> 3154   198 0.9822719 0.160214536  fv      Gamma   Cox, Log-Normal    FALSE #> 3170   199 0.7665154 0.178048907  fv      Gamma   Cox, Log-Normal    FALSE #> 3186   200 1.0827449 0.216626911  fv      Gamma   Cox, Log-Normal    FALSE #> 3202   201 1.0550061 0.243012425  fv      Gamma   Cox, Log-Normal    FALSE #> 3218   202 1.0972858 0.215662323  fv      Gamma   Cox, Log-Normal    FALSE #> 3234   203 0.9855765 0.182481322  fv      Gamma   Cox, Log-Normal    FALSE #> 3250   204 1.0561904 0.348906497  fv      Gamma   Cox, Log-Normal    FALSE #> 3266   205 0.7564109 0.205512464  fv      Gamma   Cox, Log-Normal    FALSE #> 3282   206 1.0125371 0.222694936  fv      Gamma   Cox, Log-Normal    FALSE #> 3298   207 0.6826566 0.147213825  fv      Gamma   Cox, Log-Normal    FALSE #> 3314   208 0.9760813 0.224712745  fv      Gamma   Cox, Log-Normal    FALSE #> 3330   209 0.9269613 0.220844066  fv      Gamma   Cox, Log-Normal    FALSE #> 3346   210 0.9133674 0.231763968  fv      Gamma   Cox, Log-Normal    FALSE #> 3362   211 1.4904914 0.390725669  fv      Gamma   Cox, Log-Normal    FALSE #> 3378   212 0.9920371 0.255836508  fv      Gamma   Cox, Log-Normal    FALSE #> 3394   213 1.1118333 0.294714345  fv      Gamma   Cox, Log-Normal    FALSE #> 3410   214 1.0039471 0.304092232  fv      Gamma   Cox, Log-Normal    FALSE #> 3426   215 1.1241297 0.264189786  fv      Gamma   Cox, Log-Normal    FALSE #> 3442   216 1.2582014 0.301083523  fv      Gamma   Cox, Log-Normal    FALSE #> 3458   217 0.8366225 0.210156062  fv      Gamma   Cox, Log-Normal    FALSE #> 3474   218 0.8448105 0.236493852  fv      Gamma   Cox, Log-Normal    FALSE #> 3490   219 1.2107113 0.347155926  fv      Gamma   Cox, Log-Normal    FALSE #> 3506   220 0.7158888 0.136382455  fv      Gamma   Cox, Log-Normal    FALSE #> 3522   221 0.9339555 0.266680492  fv      Gamma   Cox, Log-Normal    FALSE #> 3538   222 1.1192118 0.312072336  fv      Gamma   Cox, Log-Normal    FALSE #> 3554   223 1.0452753 0.280574246  fv      Gamma   Cox, Log-Normal    FALSE #> 3570   224 1.0115289 0.233439970  fv      Gamma   Cox, Log-Normal    FALSE #> 3586   225 0.8032168 0.161726631  fv      Gamma   Cox, Log-Normal    FALSE #> 3602   226 1.3087768 0.413967329  fv      Gamma   Cox, Log-Normal    FALSE #> 3618   227 0.8661987 0.237439745  fv      Gamma   Cox, Log-Normal    FALSE #> 3634   228 1.1166755 0.216930095  fv      Gamma   Cox, Log-Normal    FALSE #> 3650   229 1.1105627 0.275511999  fv      Gamma   Cox, Log-Normal    FALSE #> 3666   230 0.8823663 0.147648628  fv      Gamma   Cox, Log-Normal    FALSE #> 3682   231 1.1464490 0.264342378  fv      Gamma   Cox, Log-Normal    FALSE #> 3698   232 1.0282286 0.294509349  fv      Gamma   Cox, Log-Normal    FALSE #> 3714   233 1.1858851 0.308748988  fv      Gamma   Cox, Log-Normal    FALSE #> 3730   234 0.9141730 0.234737862  fv      Gamma   Cox, Log-Normal    FALSE #> 3746   235 1.1254600 0.356891640  fv      Gamma   Cox, Log-Normal    FALSE #> 3762   236 0.6441731 0.174629945  fv      Gamma   Cox, Log-Normal    FALSE #> 3778   237 0.8396326 0.205428196  fv      Gamma   Cox, Log-Normal    FALSE #> 3794   238 0.8108753 0.210967352  fv      Gamma   Cox, Log-Normal    FALSE #> 3810   239 0.9353923 0.175452236  fv      Gamma   Cox, Log-Normal    FALSE #> 3826   240 1.1534031 0.316909074  fv      Gamma   Cox, Log-Normal    FALSE #> 3842   241 0.8525632 0.153161651  fv      Gamma   Cox, Log-Normal    FALSE #> 3858   242 0.6325823 0.110859718  fv      Gamma   Cox, Log-Normal    FALSE #> 3874   243 1.3438274 0.504696267  fv      Gamma   Cox, Log-Normal     TRUE #> 3890   244 0.6847331 0.117664089  fv      Gamma   Cox, Log-Normal    FALSE #> 3906   245 1.5084013 0.416220066  fv      Gamma   Cox, Log-Normal    FALSE #> 3922   246 0.8600815 0.160092148  fv      Gamma   Cox, Log-Normal    FALSE #> 3938   247 1.0459691 0.247888885  fv      Gamma   Cox, Log-Normal    FALSE #> 3954   248 1.3774923 0.295724239  fv      Gamma   Cox, Log-Normal    FALSE #> 3970   249 1.4544026 0.401018407  fv      Gamma   Cox, Log-Normal    FALSE #> 3986   250 0.9930866 0.252367133  fv      Gamma   Cox, Log-Normal    FALSE #> 4002   251 1.0750961 0.286717462  fv      Gamma   Cox, Log-Normal    FALSE #> 4018   252 1.1463194 0.342407069  fv      Gamma   Cox, Log-Normal    FALSE #> 4034   253 1.2383183 0.401788395  fv      Gamma   Cox, Log-Normal    FALSE #> 4050   254 0.6184252 0.098351797  fv      Gamma   Cox, Log-Normal    FALSE #> 4066   255 0.9288740 0.135923481  fv      Gamma   Cox, Log-Normal    FALSE #> 4082   256 0.9116082 0.198199738  fv      Gamma   Cox, Log-Normal    FALSE #> 4098   257 0.6749869 0.129906431  fv      Gamma   Cox, Log-Normal    FALSE #> 4114   258 1.0142908 0.337359222  fv      Gamma   Cox, Log-Normal    FALSE #> 4130   259 0.9440221 0.210134843  fv      Gamma   Cox, Log-Normal    FALSE #> 4146   260 1.1202138 0.249898993  fv      Gamma   Cox, Log-Normal    FALSE #> 4162   261 0.5960250 0.118672454  fv      Gamma   Cox, Log-Normal    FALSE #> 4178   262 0.8366969 0.176398436  fv      Gamma   Cox, Log-Normal    FALSE #> 4194   263 0.7871702 0.205713317  fv      Gamma   Cox, Log-Normal    FALSE #> 4210   264 0.6057126 0.113149327  fv      Gamma   Cox, Log-Normal    FALSE #> 4226   265 0.7758375 0.147043597  fv      Gamma   Cox, Log-Normal    FALSE #> 4242   266 0.8500845 0.224891518  fv      Gamma   Cox, Log-Normal    FALSE #> 4258   267 0.9199981 0.195893000  fv      Gamma   Cox, Log-Normal    FALSE #> 4274   268 0.9880338 0.209263821  fv      Gamma   Cox, Log-Normal    FALSE #> 4290   269 1.6572488 0.438643117  fv      Gamma   Cox, Log-Normal     TRUE #> 4306   270 1.2169293 0.315454041  fv      Gamma   Cox, Log-Normal    FALSE #> 4322   271 1.2092937 0.306710304  fv      Gamma   Cox, Log-Normal    FALSE #> 4338   272 0.7054006 0.192228252  fv      Gamma   Cox, Log-Normal    FALSE #> 4354   273 0.8125655 0.154642396  fv      Gamma   Cox, Log-Normal    FALSE #> 4370   274 0.9034828 0.186117871  fv      Gamma   Cox, Log-Normal    FALSE #> 4386   275 1.1334718 0.225436721  fv      Gamma   Cox, Log-Normal    FALSE #> 4402   276 1.0808167 0.354131546  fv      Gamma   Cox, Log-Normal    FALSE #> 4418   277 0.8663479 0.141176671  fv      Gamma   Cox, Log-Normal    FALSE #> 4434   278 1.0154270 0.195194389  fv      Gamma   Cox, Log-Normal    FALSE #> 4450   279 0.9972416 0.246791708  fv      Gamma   Cox, Log-Normal    FALSE #> 4466   280 0.9485671 0.192665901  fv      Gamma   Cox, Log-Normal    FALSE #> 4482   281 1.5419471 0.432963938  fv      Gamma   Cox, Log-Normal     TRUE #> 4498   282 0.7366272 0.154485998  fv      Gamma   Cox, Log-Normal    FALSE #> 4514   283 1.1387523 0.351311035  fv      Gamma   Cox, Log-Normal    FALSE #> 4530   284 0.7606273 0.130651621  fv      Gamma   Cox, Log-Normal    FALSE #> 4546   285 0.5940809 0.114410663  fv      Gamma   Cox, Log-Normal    FALSE #> 4562   286 0.9980889 0.165993278  fv      Gamma   Cox, Log-Normal    FALSE #> 4578   287 0.7786292 0.173527925  fv      Gamma   Cox, Log-Normal    FALSE #> 4594   288 1.8012469 0.384382846  fv      Gamma   Cox, Log-Normal     TRUE #> 4610   289 0.8352625 0.230080256  fv      Gamma   Cox, Log-Normal    FALSE #> 4626   290 0.7462650 0.161150218  fv      Gamma   Cox, Log-Normal    FALSE #> 4642   291 0.7581738 0.185194416  fv      Gamma   Cox, Log-Normal    FALSE #> 4658   292 0.7315072 0.136632050  fv      Gamma   Cox, Log-Normal    FALSE #> 4674   293 1.1794738 0.263230250  fv      Gamma   Cox, Log-Normal    FALSE #> 4690   294 0.8364797 0.177888851  fv      Gamma   Cox, Log-Normal    FALSE #> 4706   295 1.5702252 0.363660287  fv      Gamma   Cox, Log-Normal    FALSE #> 4722   296 1.0030032 0.212419723  fv      Gamma   Cox, Log-Normal    FALSE #> 4738   297 1.7048282 0.324692247  fv      Gamma   Cox, Log-Normal     TRUE #> 4754   298 0.6792576 0.124013511  fv      Gamma   Cox, Log-Normal    FALSE #> 4770   299 0.7179893 0.156934076  fv      Gamma   Cox, Log-Normal    FALSE #> 4786   300 1.1245685 0.198322193  fv      Gamma   Cox, Log-Normal    FALSE #> 4802   301 0.6708749 0.171248942  fv      Gamma   Cox, Log-Normal    FALSE #> 4818   302 1.0425587 0.181386611  fv      Gamma   Cox, Log-Normal    FALSE #> 4834   303 0.7687011 0.144588971  fv      Gamma   Cox, Log-Normal    FALSE #> 4850   304 0.8183131 0.180688666  fv      Gamma   Cox, Log-Normal    FALSE #> 4866   305 1.1994373 0.254185287  fv      Gamma   Cox, Log-Normal    FALSE #> 4882   306 0.9480399 0.206670969  fv      Gamma   Cox, Log-Normal    FALSE #> 4898   307 1.0547876 0.317754660  fv      Gamma   Cox, Log-Normal    FALSE #> 4914   308 0.8707234 0.206289074  fv      Gamma   Cox, Log-Normal    FALSE #> 4930   309 1.0009221 0.187321610  fv      Gamma   Cox, Log-Normal    FALSE #> 4946   310 1.5183534 0.350397464  fv      Gamma   Cox, Log-Normal    FALSE #> 4962   311 1.2122527 0.296579713  fv      Gamma   Cox, Log-Normal    FALSE #> 4978   312 1.8443405 0.479858067  fv      Gamma   Cox, Log-Normal     TRUE #> 4994   313 1.1266272 0.250518734  fv      Gamma   Cox, Log-Normal    FALSE #> 5010   314 0.9134451 0.223254762  fv      Gamma   Cox, Log-Normal    FALSE #> 5026   315 1.0694137 0.206784794  fv      Gamma   Cox, Log-Normal    FALSE #> 5042   316 1.5557750 0.331763485  fv      Gamma   Cox, Log-Normal    FALSE #> 5058   317 0.7900325 0.184343319  fv      Gamma   Cox, Log-Normal    FALSE #> 5074   318 0.9676750 0.285161091  fv      Gamma   Cox, Log-Normal    FALSE #> 5090   319 0.7534842 0.186475417  fv      Gamma   Cox, Log-Normal    FALSE #> 5106   320 0.7587523 0.158245032  fv      Gamma   Cox, Log-Normal    FALSE #> 5122   321 1.3296280 0.289607929  fv      Gamma   Cox, Log-Normal    FALSE #> 5138   322 0.6540554 0.153362582  fv      Gamma   Cox, Log-Normal    FALSE #> 5154   323 1.1866786 0.246796331  fv      Gamma   Cox, Log-Normal    FALSE #> 5170   324 0.7879666 0.235532790  fv      Gamma   Cox, Log-Normal    FALSE #> 5186   325 0.9063958 0.177813514  fv      Gamma   Cox, Log-Normal    FALSE #> 5202   326 0.8994038 0.180708837  fv      Gamma   Cox, Log-Normal    FALSE #> 5218   327 0.9343756 0.199207745  fv      Gamma   Cox, Log-Normal    FALSE #> 5234   328 1.4427292 0.367840271  fv      Gamma   Cox, Log-Normal    FALSE #> 5250   329 1.2314166 0.320033252  fv      Gamma   Cox, Log-Normal    FALSE #> 5266   330 0.9467010 0.225445798  fv      Gamma   Cox, Log-Normal    FALSE #> 5282   331 1.1330281 0.231943006  fv      Gamma   Cox, Log-Normal    FALSE #> 5298   332 0.7331899 0.197574585  fv      Gamma   Cox, Log-Normal    FALSE #> 5314   333 0.6844227 0.140883756  fv      Gamma   Cox, Log-Normal    FALSE #> 5330   334 1.3781416 0.249637577  fv      Gamma   Cox, Log-Normal    FALSE #> 5346   335 1.0702186 0.271371029  fv      Gamma   Cox, Log-Normal    FALSE #> 5362   336 0.6209932 0.164255992  fv      Gamma   Cox, Log-Normal    FALSE #> 5378   337 0.8421416 0.206148684  fv      Gamma   Cox, Log-Normal    FALSE #> 5394   338 0.7236815 0.112024580  fv      Gamma   Cox, Log-Normal    FALSE #> 5410   339 1.0388795 0.295391600  fv      Gamma   Cox, Log-Normal    FALSE #> 5426   340 1.1095304 0.403572705  fv      Gamma   Cox, Log-Normal    FALSE #> 5442   341 0.6719273 0.137761634  fv      Gamma   Cox, Log-Normal    FALSE #> 5458   342 0.5332889 0.101209542  fv      Gamma   Cox, Log-Normal    FALSE #> 5474   343 0.7748324 0.181756300  fv      Gamma   Cox, Log-Normal    FALSE #> 5490   344 1.3667207 0.352452784  fv      Gamma   Cox, Log-Normal    FALSE #> 5506   345 1.1973392 0.238025218  fv      Gamma   Cox, Log-Normal    FALSE #> 5522   346 1.0638629 0.203973708  fv      Gamma   Cox, Log-Normal    FALSE #> 5538   347 0.9372712 0.157409347  fv      Gamma   Cox, Log-Normal    FALSE #> 5554   348 1.4096446 0.303746493  fv      Gamma   Cox, Log-Normal    FALSE #> 5570   349 1.1515909 0.267338558  fv      Gamma   Cox, Log-Normal    FALSE #> 5586   350 1.0566777 0.204651400  fv      Gamma   Cox, Log-Normal    FALSE #> 5602   351 1.2270499 0.365187960  fv      Gamma   Cox, Log-Normal    FALSE #> 5618   352 1.1384745 0.320730548  fv      Gamma   Cox, Log-Normal    FALSE #> 5634   353 0.6761084 0.151468116  fv      Gamma   Cox, Log-Normal    FALSE #> 5650   354 0.9381758 0.195546224  fv      Gamma   Cox, Log-Normal    FALSE #> 5666   355 1.1119338 0.223665047  fv      Gamma   Cox, Log-Normal    FALSE #> 5682   356 1.0905507 0.292129252  fv      Gamma   Cox, Log-Normal    FALSE #> 5698   357 0.8452529 0.184177665  fv      Gamma   Cox, Log-Normal    FALSE #> 5714   358 0.8066733 0.115900961  fv      Gamma   Cox, Log-Normal    FALSE #> 5730   359 0.8677696 0.265080079  fv      Gamma   Cox, Log-Normal    FALSE #> 5746   360 0.7287289 0.131955369  fv      Gamma   Cox, Log-Normal    FALSE #> 5762   361 1.3008883 0.360862820  fv      Gamma   Cox, Log-Normal    FALSE #> 5778   362 0.5904270 0.130278388  fv      Gamma   Cox, Log-Normal    FALSE #> 5794   363 0.9529346 0.266922925  fv      Gamma   Cox, Log-Normal    FALSE #> 5810   364 0.6480905 0.167160297  fv      Gamma   Cox, Log-Normal    FALSE #> 5826   365 0.9971018 0.330971308  fv      Gamma   Cox, Log-Normal    FALSE #> 5842   366 1.1939180 0.294834729  fv      Gamma   Cox, Log-Normal    FALSE #> 5858   367 1.1703409 0.220120120  fv      Gamma   Cox, Log-Normal    FALSE #> 5874   368 1.1791884 0.429781697  fv      Gamma   Cox, Log-Normal     TRUE #> 5890   369 0.6704603 0.124258362  fv      Gamma   Cox, Log-Normal    FALSE #> 5906   370 0.6437177 0.144677882  fv      Gamma   Cox, Log-Normal    FALSE #> 5922   371 1.0793130 0.276618474  fv      Gamma   Cox, Log-Normal    FALSE #> 5938   372 0.7821637 0.249248520  fv      Gamma   Cox, Log-Normal    FALSE #> 5954   373 0.9198681 0.214796254  fv      Gamma   Cox, Log-Normal    FALSE #> 5970   374 0.7206397 0.140563196  fv      Gamma   Cox, Log-Normal    FALSE #> 5986   375 0.7455317 0.156345249  fv      Gamma   Cox, Log-Normal    FALSE #> 6002   376 0.7820201 0.164687256  fv      Gamma   Cox, Log-Normal    FALSE #> 6018   377 1.2011353 0.333770351  fv      Gamma   Cox, Log-Normal    FALSE #> 6034   378 1.0732917 0.230685922  fv      Gamma   Cox, Log-Normal    FALSE #> 6050   379 0.7956228 0.135068436  fv      Gamma   Cox, Log-Normal    FALSE #> 6066   380 0.9821977 0.202408585  fv      Gamma   Cox, Log-Normal    FALSE #> 6082   381 0.7109656 0.149643496  fv      Gamma   Cox, Log-Normal    FALSE #> 6098   382 0.9332571 0.225055001  fv      Gamma   Cox, Log-Normal    FALSE #> 6114   383 1.4525060 0.252050709  fv      Gamma   Cox, Log-Normal    FALSE #> 6130   384 1.1156376 0.225314386  fv      Gamma   Cox, Log-Normal    FALSE #> 6146   385 0.6937414 0.130805747  fv      Gamma   Cox, Log-Normal    FALSE #> 6162   386 0.4539095 0.143952602  fv      Gamma   Cox, Log-Normal    FALSE #> 6178   387 0.6909378 0.131527306  fv      Gamma   Cox, Log-Normal    FALSE #> 6194   388 0.8732335 0.176442179  fv      Gamma   Cox, Log-Normal    FALSE #> 6210   389 0.6361769 0.145037919  fv      Gamma   Cox, Log-Normal    FALSE #> 6226   390 0.7550553 0.176928641  fv      Gamma   Cox, Log-Normal    FALSE #> 6242   391 0.6148799 0.135829174  fv      Gamma   Cox, Log-Normal    FALSE #> 6258   392 1.1216041 0.230266849  fv      Gamma   Cox, Log-Normal    FALSE #> 6274   393 0.6766989 0.155586331  fv      Gamma   Cox, Log-Normal    FALSE #> 6290   394 1.2809946 0.303295151  fv      Gamma   Cox, Log-Normal    FALSE #> 6306   395 0.9574912 0.257132721  fv      Gamma   Cox, Log-Normal    FALSE #> 6322   396 0.9517729 0.286349874  fv      Gamma   Cox, Log-Normal    FALSE #> 6338   397 1.1124126 0.212177754  fv      Gamma   Cox, Log-Normal    FALSE #> 6354   398 0.9331498 0.195380303  fv      Gamma   Cox, Log-Normal    FALSE #> 6370   399 0.7590104 0.183901117  fv      Gamma   Cox, Log-Normal    FALSE #> 6386   400 0.8141348 0.209282394  fv      Gamma   Cox, Log-Normal    FALSE #> 6402   401 1.1725501 0.302794794  fv      Gamma   Cox, Log-Normal    FALSE #> 6418   402 0.8902602 0.257412268  fv      Gamma   Cox, Log-Normal    FALSE #> 6434   403 0.8519330 0.172126937  fv      Gamma   Cox, Log-Normal    FALSE #> 6450   404 1.0476725 0.336457821  fv      Gamma   Cox, Log-Normal    FALSE #> 6466   405 0.7691769 0.130780437  fv      Gamma   Cox, Log-Normal    FALSE #> 6482   406 0.7361662 0.138962491  fv      Gamma   Cox, Log-Normal    FALSE #> 6498   407 1.0450332 0.255588768  fv      Gamma   Cox, Log-Normal    FALSE #> 6514   408 0.6282204 0.263436321  fv      Gamma   Cox, Log-Normal    FALSE #> 6530   409 1.2675705 0.255827563  fv      Gamma   Cox, Log-Normal    FALSE #> 6546   410 1.4027855 0.405498694  fv      Gamma   Cox, Log-Normal    FALSE #> 6562   411 1.0909367 0.364351515  fv      Gamma   Cox, Log-Normal    FALSE #> 6578   412 0.8247547 0.147850429  fv      Gamma   Cox, Log-Normal    FALSE #> 6594   413 0.9001954 0.207926748  fv      Gamma   Cox, Log-Normal    FALSE #> 6610   414 0.8922666 0.205074388  fv      Gamma   Cox, Log-Normal    FALSE #> 6626   415 1.1201345 0.235581947  fv      Gamma   Cox, Log-Normal    FALSE #> 6642   416 0.7256155 0.151266912  fv      Gamma   Cox, Log-Normal    FALSE #> 6658   417 0.9635329 0.165467319  fv      Gamma   Cox, Log-Normal    FALSE #> 6674   418 0.9579341 0.221398430  fv      Gamma   Cox, Log-Normal    FALSE #> 6690   419 0.8134821 0.226987586  fv      Gamma   Cox, Log-Normal    FALSE #> 6706   420 1.1122495 0.304778954  fv      Gamma   Cox, Log-Normal    FALSE #> 6722   421 1.0634088 0.195189997  fv      Gamma   Cox, Log-Normal    FALSE #> 6738   422 0.9576175 0.239546727  fv      Gamma   Cox, Log-Normal    FALSE #> 6754   423 1.0594321 0.228721736  fv      Gamma   Cox, Log-Normal    FALSE #> 6770   424 0.9597868 0.276897329  fv      Gamma   Cox, Log-Normal    FALSE #> 6786   425 0.7315512 0.180004030  fv      Gamma   Cox, Log-Normal    FALSE #> 6802   426 1.2737580 0.295162754  fv      Gamma   Cox, Log-Normal    FALSE #> 6818   427 0.5082034 0.138832393  fv      Gamma   Cox, Log-Normal    FALSE #> 6834   428 1.4427275 0.408389941  fv      Gamma   Cox, Log-Normal    FALSE #> 6850   429 0.7931159 0.177763555  fv      Gamma   Cox, Log-Normal    FALSE #> 6866   430 0.6869118 0.109383857  fv      Gamma   Cox, Log-Normal    FALSE #> 6882   431 1.0984440 0.245113401  fv      Gamma   Cox, Log-Normal    FALSE #> 6898   432 0.6733838 0.147400668  fv      Gamma   Cox, Log-Normal    FALSE #> 6914   433 1.1186541 0.329798430  fv      Gamma   Cox, Log-Normal    FALSE #> 6930   434 1.2398972 0.222930487  fv      Gamma   Cox, Log-Normal    FALSE #> 6946   435 0.8050301 0.140179777  fv      Gamma   Cox, Log-Normal    FALSE #> 6962   436 1.2438138 0.307965337  fv      Gamma   Cox, Log-Normal    FALSE #> 6978   437 0.8224460 0.126221473  fv      Gamma   Cox, Log-Normal    FALSE #> 6994   438 0.6359268 0.189779025  fv      Gamma   Cox, Log-Normal    FALSE #> 7010   439 0.9316025 0.286812594  fv      Gamma   Cox, Log-Normal    FALSE #> 7026   440 0.8116677 0.150546885  fv      Gamma   Cox, Log-Normal    FALSE #> 7042   441 0.4957894 0.090606260  fv      Gamma   Cox, Log-Normal    FALSE #> 7058   442 0.9920610 0.183115913  fv      Gamma   Cox, Log-Normal    FALSE #> 7074   443 0.6649345 0.222904431  fv      Gamma   Cox, Log-Normal    FALSE #> 7090   444 0.8035197 0.183494932  fv      Gamma   Cox, Log-Normal    FALSE #> 7106   445 1.2090738 0.358004906  fv      Gamma   Cox, Log-Normal    FALSE #> 7122   446 1.0087995 0.220975718  fv      Gamma   Cox, Log-Normal    FALSE #> 7138   447 0.9565913 0.200822801  fv      Gamma   Cox, Log-Normal    FALSE #> 7154   448 1.0441738 0.260365565  fv      Gamma   Cox, Log-Normal    FALSE #> 7170   449 1.1615839 0.216975618  fv      Gamma   Cox, Log-Normal    FALSE #> 7186   450 0.7740953 0.140879888  fv      Gamma   Cox, Log-Normal    FALSE #> 7202   451 1.0692578 0.222198213  fv      Gamma   Cox, Log-Normal    FALSE #> 7218   452 0.6524954 0.123359523  fv      Gamma   Cox, Log-Normal    FALSE #> 7234   453 1.0336945 0.199674407  fv      Gamma   Cox, Log-Normal    FALSE #> 7250   454 0.8403049 0.274222788  fv      Gamma   Cox, Log-Normal    FALSE #> 7266   455 1.0557566 0.225824987  fv      Gamma   Cox, Log-Normal    FALSE #> 7282   456 1.0962428 0.243979297  fv      Gamma   Cox, Log-Normal    FALSE #> 7298   457 1.1029915 0.213750191  fv      Gamma   Cox, Log-Normal    FALSE #> 7314   458 1.2720893 0.351284624  fv      Gamma   Cox, Log-Normal    FALSE #> 7330   459 0.8717904 0.217191101  fv      Gamma   Cox, Log-Normal    FALSE #> 7346   460 0.8326436 0.222186414  fv      Gamma   Cox, Log-Normal    FALSE #> 7362   461 1.0365468 0.264064386  fv      Gamma   Cox, Log-Normal    FALSE #> 7378   462 1.3924264 0.387524188  fv      Gamma   Cox, Log-Normal    FALSE #> 7394   463 0.7356121 0.119417840  fv      Gamma   Cox, Log-Normal    FALSE #> 7410   464 0.6727029 0.179079073  fv      Gamma   Cox, Log-Normal    FALSE #> 7426   465 0.9358999 0.191441499  fv      Gamma   Cox, Log-Normal    FALSE #> 7442   466 1.0797508 0.320286330  fv      Gamma   Cox, Log-Normal    FALSE #> 7458   467 1.2546135 0.331880843  fv      Gamma   Cox, Log-Normal    FALSE #> 7474   468 0.6594459 0.127506910  fv      Gamma   Cox, Log-Normal    FALSE #> 7490   469 1.0773071 0.306539717  fv      Gamma   Cox, Log-Normal    FALSE #> 7506   470 0.9831728 0.182063344  fv      Gamma   Cox, Log-Normal    FALSE #> 7522   471 0.7441140 0.128457720  fv      Gamma   Cox, Log-Normal    FALSE #> 7538   472 1.1705633 0.275046221  fv      Gamma   Cox, Log-Normal    FALSE #> 7554   473 0.7944060 0.160426950  fv      Gamma   Cox, Log-Normal    FALSE #> 7570   474 0.7893312 0.236801144  fv      Gamma   Cox, Log-Normal    FALSE #> 7586   475 1.6420040 0.472204521  fv      Gamma   Cox, Log-Normal     TRUE #> 7602   476 0.6907611 0.179152271  fv      Gamma   Cox, Log-Normal    FALSE #> 7618   477 1.2306596 0.240740348  fv      Gamma   Cox, Log-Normal    FALSE #> 7634   478 0.9703432 0.280043037  fv      Gamma   Cox, Log-Normal    FALSE #> 7650   479 1.2556369 0.278832138  fv      Gamma   Cox, Log-Normal    FALSE #> 7666   480 1.0316289 0.262194195  fv      Gamma   Cox, Log-Normal    FALSE #> 7682   481 0.9069980 0.240001733  fv      Gamma   Cox, Log-Normal    FALSE #> 7698   482 0.8651847 0.324883873  fv      Gamma   Cox, Log-Normal    FALSE #> 7714   483 0.9195134 0.324966495  fv      Gamma   Cox, Log-Normal    FALSE #> 7730   484 0.9354766 0.158821908  fv      Gamma   Cox, Log-Normal    FALSE #> 7746   485 1.0036369 0.235477830  fv      Gamma   Cox, Log-Normal    FALSE #> 7762   486 0.7230942 0.191080579  fv      Gamma   Cox, Log-Normal    FALSE #> 7778   487 1.0953227 0.216107707  fv      Gamma   Cox, Log-Normal    FALSE #> 7794   488 0.9509228 0.341422686  fv      Gamma   Cox, Log-Normal    FALSE #> 7810   489 1.2438654 0.335909184  fv      Gamma   Cox, Log-Normal    FALSE #> 7826   490 1.6108304 0.304536731  fv      Gamma   Cox, Log-Normal     TRUE #> 7842   491 0.8306550 0.168517444  fv      Gamma   Cox, Log-Normal    FALSE #> 7858   492 1.2528581 0.347548040  fv      Gamma   Cox, Log-Normal    FALSE #> 7874   493 1.1141412 0.417141114  fv      Gamma   Cox, Log-Normal    FALSE #> 7890   494 0.8588516 0.179209258  fv      Gamma   Cox, Log-Normal    FALSE #> 7906   495 0.9641937 0.220531498  fv      Gamma   Cox, Log-Normal    FALSE #> 7922   496 0.6759623 0.166289250  fv      Gamma   Cox, Log-Normal    FALSE #> 7938   497 0.9033618 0.200323244  fv      Gamma   Cox, Log-Normal    FALSE #> 7954   498 0.8062435 0.190505432  fv      Gamma   Cox, Log-Normal    FALSE #> 7970   499 1.0779911 0.255751410  fv      Gamma   Cox, Log-Normal    FALSE #> 7986   500 1.2670375 0.297555986  fv      Gamma   Cox, Log-Normal    FALSE #> 8002   501 0.8648506 0.180810911  fv      Gamma   Cox, Log-Normal    FALSE #> 8018   502 1.0364983 0.208051259  fv      Gamma   Cox, Log-Normal    FALSE #> 8034   503 0.7537958 0.149464952  fv      Gamma   Cox, Log-Normal    FALSE #> 8050   504 1.2053252 0.210116068  fv      Gamma   Cox, Log-Normal    FALSE #> 8066   505 1.4316809 0.361150122  fv      Gamma   Cox, Log-Normal    FALSE #> 8082   506 0.8599211 0.164904216  fv      Gamma   Cox, Log-Normal    FALSE #> 8098   507 0.6803896 0.132319900  fv      Gamma   Cox, Log-Normal    FALSE #> 8114   508 0.8321579 0.174584707  fv      Gamma   Cox, Log-Normal    FALSE #> 8130   509 0.8577265 0.171261565  fv      Gamma   Cox, Log-Normal    FALSE #> 8146   510 1.0840758 0.191525801  fv      Gamma   Cox, Log-Normal    FALSE #> 8162   511 0.9751571 0.228962046  fv      Gamma   Cox, Log-Normal    FALSE #> 8178   512 0.9171955 0.141575466  fv      Gamma   Cox, Log-Normal    FALSE #> 8194   513 0.7704456 0.179734941  fv      Gamma   Cox, Log-Normal    FALSE #> 8210   514 0.9767960 0.270516974  fv      Gamma   Cox, Log-Normal    FALSE #> 8226   515 0.8482220 0.193164393  fv      Gamma   Cox, Log-Normal    FALSE #> 8242   516 1.0376892 0.256220330  fv      Gamma   Cox, Log-Normal    FALSE #> 8258   517 1.1357326 0.273350115  fv      Gamma   Cox, Log-Normal    FALSE #> 8274   518 1.2253076 0.238917068  fv      Gamma   Cox, Log-Normal    FALSE #> 8290   519 0.8713882 0.184042855  fv      Gamma   Cox, Log-Normal    FALSE #> 8306   520 0.7926449 0.167454593  fv      Gamma   Cox, Log-Normal    FALSE #> 8322   521 0.7127690 0.140016713  fv      Gamma   Cox, Log-Normal    FALSE #> 8338   522 0.6570335 0.147981785  fv      Gamma   Cox, Log-Normal    FALSE #> 8354   523 0.9035491 0.240796228  fv      Gamma   Cox, Log-Normal    FALSE #> 8370   524 0.7910639 0.197298251  fv      Gamma   Cox, Log-Normal    FALSE #> 8386   525 1.3295251 0.263165691  fv      Gamma   Cox, Log-Normal    FALSE #> 8402   526 1.1085831 0.260362630  fv      Gamma   Cox, Log-Normal    FALSE #> 8418   527 0.9930652 0.328052452  fv      Gamma   Cox, Log-Normal    FALSE #> 8434   528 0.7418328 0.169881227  fv      Gamma   Cox, Log-Normal    FALSE #> 8450   529 1.2037156 0.256995886  fv      Gamma   Cox, Log-Normal    FALSE #> 8466   530 1.3353275 0.308725331  fv      Gamma   Cox, Log-Normal    FALSE #> 8482   531 1.0724559 0.185489763  fv      Gamma   Cox, Log-Normal    FALSE #> 8498   532 1.1767181 0.288783024  fv      Gamma   Cox, Log-Normal    FALSE #> 8514   533 0.9461511 0.224624441  fv      Gamma   Cox, Log-Normal    FALSE #> 8530   534 1.0525213 0.206749296  fv      Gamma   Cox, Log-Normal    FALSE #> 8546   535 1.4301389 0.327696069  fv      Gamma   Cox, Log-Normal    FALSE #> 8562   536 1.0021084 0.171694724  fv      Gamma   Cox, Log-Normal    FALSE #> 8578   537 0.9908633 0.334784893  fv      Gamma   Cox, Log-Normal    FALSE #> 8594   538 0.7459350 0.166232904  fv      Gamma   Cox, Log-Normal    FALSE #> 8610   539 1.1963909 0.302554905  fv      Gamma   Cox, Log-Normal    FALSE #> 8626   540 1.0600937 0.334538983  fv      Gamma   Cox, Log-Normal    FALSE #> 8642   541 0.7824209 0.191635059  fv      Gamma   Cox, Log-Normal    FALSE #> 8658   542 1.0469726 0.186010712  fv      Gamma   Cox, Log-Normal    FALSE #> 8674   543 1.1353147 0.200048549  fv      Gamma   Cox, Log-Normal    FALSE #> 8690   544 1.0727346 0.223928441  fv      Gamma   Cox, Log-Normal    FALSE #> 8706   545 0.9542188 0.258825073  fv      Gamma   Cox, Log-Normal    FALSE #> 8722   546 0.7626356 0.145367051  fv      Gamma   Cox, Log-Normal    FALSE #> 8738   547 0.7998809 0.146606750  fv      Gamma   Cox, Log-Normal    FALSE #> 8754   548 0.8468470 0.311423205  fv      Gamma   Cox, Log-Normal    FALSE #> 8770   549 1.0343320 0.291774386  fv      Gamma   Cox, Log-Normal    FALSE #> 8786   550 1.3436451 0.531137533  fv      Gamma   Cox, Log-Normal     TRUE #> 8802   551 0.9109458 0.190163812  fv      Gamma   Cox, Log-Normal    FALSE #> 8818   552 0.7473400 0.168944580  fv      Gamma   Cox, Log-Normal    FALSE #> 8834   553 0.7435618 0.152999604  fv      Gamma   Cox, Log-Normal    FALSE #> 8850   554 0.9450358 0.248564971  fv      Gamma   Cox, Log-Normal    FALSE #> 8866   555 0.6737041 0.126162135  fv      Gamma   Cox, Log-Normal    FALSE #> 8882   556 0.6772282 0.151785951  fv      Gamma   Cox, Log-Normal    FALSE #> 8898   557 1.6904828 0.395312396  fv      Gamma   Cox, Log-Normal     TRUE #> 8914   558 1.0339234 0.212529669  fv      Gamma   Cox, Log-Normal    FALSE #> 8930   559 0.7993772 0.259858142  fv      Gamma   Cox, Log-Normal    FALSE #> 8946   560 0.9719681 0.242674636  fv      Gamma   Cox, Log-Normal    FALSE #> 8962   561 1.0261247 0.212406152  fv      Gamma   Cox, Log-Normal    FALSE #> 8978   562 0.5757420 0.150997039  fv      Gamma   Cox, Log-Normal    FALSE #> 8994   563 1.0409490 0.228433773  fv      Gamma   Cox, Log-Normal    FALSE #> 9010   564 1.0615467 0.193348628  fv      Gamma   Cox, Log-Normal    FALSE #> 9026   565 1.1679880 0.390837268  fv      Gamma   Cox, Log-Normal    FALSE #> 9042   566 1.2199602 0.278996060  fv      Gamma   Cox, Log-Normal    FALSE #> 9058   567 0.9822957 0.244996294  fv      Gamma   Cox, Log-Normal    FALSE #> 9074   568 1.0201589 0.280017514  fv      Gamma   Cox, Log-Normal    FALSE #> 9090   569 0.9406773 0.270807399  fv      Gamma   Cox, Log-Normal    FALSE #> 9106   570 0.9279776 0.161765327  fv      Gamma   Cox, Log-Normal    FALSE #> 9122   571 0.9326456 0.179721507  fv      Gamma   Cox, Log-Normal    FALSE #> 9138   572 1.1013126 0.198471955  fv      Gamma   Cox, Log-Normal    FALSE #> 9154   573 0.6222332 0.126446396  fv      Gamma   Cox, Log-Normal    FALSE #> 9170   574 1.1432237 0.294379732  fv      Gamma   Cox, Log-Normal    FALSE #> 9186   575 0.9600009 0.226550540  fv      Gamma   Cox, Log-Normal    FALSE #> 9202   576 1.0609559 0.287309234  fv      Gamma   Cox, Log-Normal    FALSE #> 9218   577 0.9115962 0.250289364  fv      Gamma   Cox, Log-Normal    FALSE #> 9234   578 0.9202321 0.181635402  fv      Gamma   Cox, Log-Normal    FALSE #> 9250   579 0.7970005 0.198574996  fv      Gamma   Cox, Log-Normal    FALSE #> 9266   580 0.8541770 0.199446336  fv      Gamma   Cox, Log-Normal    FALSE #> 9282   581 1.1327424 0.203938321  fv      Gamma   Cox, Log-Normal    FALSE #> 9298   582 0.5324844 0.110727241  fv      Gamma   Cox, Log-Normal    FALSE #> 9314   583 1.2170472 0.265887560  fv      Gamma   Cox, Log-Normal    FALSE #> 9330   584 0.7405038 0.190327265  fv      Gamma   Cox, Log-Normal    FALSE #> 9346   585 1.4674663 0.296880097  fv      Gamma   Cox, Log-Normal    FALSE #> 9362   586 1.3357663 0.233595693  fv      Gamma   Cox, Log-Normal    FALSE #> 9378   587 1.0434712 0.197298685  fv      Gamma   Cox, Log-Normal    FALSE #> 9394   588 1.0601227 0.260760641  fv      Gamma   Cox, Log-Normal    FALSE #> 9410   589 0.7426001 0.163007177  fv      Gamma   Cox, Log-Normal    FALSE #> 9426   590 0.8895731 0.197968824  fv      Gamma   Cox, Log-Normal    FALSE #> 9442   591 0.9799824 0.254028822  fv      Gamma   Cox, Log-Normal    FALSE #> 9458   592 1.2819594 0.227298189  fv      Gamma   Cox, Log-Normal    FALSE #> 9474   593 0.9126781 0.272510318  fv      Gamma   Cox, Log-Normal    FALSE #> 9490   594 0.9415930 0.242944719  fv      Gamma   Cox, Log-Normal    FALSE #> 9506   595 0.8669225 0.154822055  fv      Gamma   Cox, Log-Normal    FALSE #> 9522   596 1.2023114 0.234135962  fv      Gamma   Cox, Log-Normal    FALSE #> 9538   597 1.1852910 0.306402855  fv      Gamma   Cox, Log-Normal    FALSE #> 9554   598 1.0144108 0.236994186  fv      Gamma   Cox, Log-Normal    FALSE #> 9570   599 1.5141491 0.267682298  fv      Gamma   Cox, Log-Normal    FALSE #> 9586   600 1.3093034 0.231071705  fv      Gamma   Cox, Log-Normal    FALSE #> 9602   601 0.9685267 0.220530237  fv      Gamma   Cox, Log-Normal    FALSE #> 9618   602 0.9567572 0.270622698  fv      Gamma   Cox, Log-Normal    FALSE #> 9634   603 0.9007697 0.220945058  fv      Gamma   Cox, Log-Normal    FALSE #> 9650   604 1.2452340 0.442246635  fv      Gamma   Cox, Log-Normal     TRUE #> 9666   605 1.2222252 0.357745466  fv      Gamma   Cox, Log-Normal    FALSE #> 9682   606 1.0475542 0.230114466  fv      Gamma   Cox, Log-Normal    FALSE #> 9698   607 0.8173250 0.184012955  fv      Gamma   Cox, Log-Normal    FALSE #> 9714   608 1.0264445 0.211869827  fv      Gamma   Cox, Log-Normal    FALSE #> 9730   609 1.3393035 0.328197864  fv      Gamma   Cox, Log-Normal    FALSE #> 9746   610 1.1612145 0.269944445  fv      Gamma   Cox, Log-Normal    FALSE #> 9762   611 0.8716488 0.218240481  fv      Gamma   Cox, Log-Normal    FALSE #> 9778   612 1.2478780 0.254679202  fv      Gamma   Cox, Log-Normal    FALSE #> 9794   613 0.9089129 0.180981311  fv      Gamma   Cox, Log-Normal    FALSE #> 9810   614 0.8236289 0.176298875  fv      Gamma   Cox, Log-Normal    FALSE #> 9826   615 0.7781034 0.172342440  fv      Gamma   Cox, Log-Normal    FALSE #> 9842   616 1.3207941 0.299666982  fv      Gamma   Cox, Log-Normal    FALSE #> 9858   617 1.3523404 0.308465331  fv      Gamma   Cox, Log-Normal    FALSE #> 9874   618 0.7054131 0.154359305  fv      Gamma   Cox, Log-Normal    FALSE #> 9890   619 0.7621622 0.144288017  fv      Gamma   Cox, Log-Normal    FALSE #> 9906   620 0.9294349 0.245020462  fv      Gamma   Cox, Log-Normal    FALSE #> 9922   621 1.0852212 0.238577452  fv      Gamma   Cox, Log-Normal    FALSE #> 9938   622 1.6889800 0.375733753  fv      Gamma   Cox, Log-Normal     TRUE #> 9954   623 0.6497480 0.112506675  fv      Gamma   Cox, Log-Normal    FALSE #> 9970   624 0.9417119 0.185039732  fv      Gamma   Cox, Log-Normal    FALSE #> 9986   625 0.9615533 0.250108888  fv      Gamma   Cox, Log-Normal    FALSE #> 10002  626 0.6491316 0.143634254  fv      Gamma   Cox, Log-Normal    FALSE #> 10018  627 0.7991016 0.265477031  fv      Gamma   Cox, Log-Normal    FALSE #> 10034  628 0.9209861 0.166585647  fv      Gamma   Cox, Log-Normal    FALSE #> 10050  629 0.7470039 0.203007785  fv      Gamma   Cox, Log-Normal    FALSE #> 10066  630 1.0690011 0.196367163  fv      Gamma   Cox, Log-Normal    FALSE #> 10082  631 1.2764893 0.441219524  fv      Gamma   Cox, Log-Normal     TRUE #> 10098  632 0.6869833 0.163540177  fv      Gamma   Cox, Log-Normal    FALSE #> 10114  633 0.7001066 0.175297359  fv      Gamma   Cox, Log-Normal    FALSE #> 10130  634 0.7032764 0.156311954  fv      Gamma   Cox, Log-Normal    FALSE #> 10146  635 0.5491568 0.134395251  fv      Gamma   Cox, Log-Normal    FALSE #> 10162  636 0.8513401 0.270874157  fv      Gamma   Cox, Log-Normal    FALSE #> 10178  637 0.9566533 0.176784838  fv      Gamma   Cox, Log-Normal    FALSE #> 10194  638 0.7933296 0.280428246  fv      Gamma   Cox, Log-Normal    FALSE #> 10210  639 0.8824408 0.186779642  fv      Gamma   Cox, Log-Normal    FALSE #> 10226  640 0.6936361 0.161515249  fv      Gamma   Cox, Log-Normal    FALSE #> 10242  641 0.8355947 0.150330827  fv      Gamma   Cox, Log-Normal    FALSE #> 10258  642 0.9279600 0.209555469  fv      Gamma   Cox, Log-Normal    FALSE #> 10274  643 0.8074046 0.197113858  fv      Gamma   Cox, Log-Normal    FALSE #> 10290  644 1.3611674 0.423889750  fv      Gamma   Cox, Log-Normal    FALSE #> 10306  645 0.6554522 0.148982743  fv      Gamma   Cox, Log-Normal    FALSE #> 10322  646 0.7228923 0.181773449  fv      Gamma   Cox, Log-Normal    FALSE #> 10338  647 1.8011240 0.416701461  fv      Gamma   Cox, Log-Normal     TRUE #> 10354  648 0.9024813 0.147263424  fv      Gamma   Cox, Log-Normal    FALSE #> 10370  649 1.1228993 0.247566629  fv      Gamma   Cox, Log-Normal    FALSE #> 10386  650 1.3658269 0.347823938  fv      Gamma   Cox, Log-Normal    FALSE #> 10402  651 1.3826703 0.312517206  fv      Gamma   Cox, Log-Normal    FALSE #> 10418  652 0.9966013 0.263252969  fv      Gamma   Cox, Log-Normal    FALSE #> 10434  653 1.3938498 0.378569327  fv      Gamma   Cox, Log-Normal    FALSE #> 10450  654 0.7498765 0.198991232  fv      Gamma   Cox, Log-Normal    FALSE #> 10466  655 0.8188198 0.148632081  fv      Gamma   Cox, Log-Normal    FALSE #> 10482  656 0.9838947 0.237718941  fv      Gamma   Cox, Log-Normal    FALSE #> 10498  657 0.9509122 0.222243095  fv      Gamma   Cox, Log-Normal    FALSE #> 10514  658 1.0495215 0.221859992  fv      Gamma   Cox, Log-Normal    FALSE #> 10530  659 1.1024600 0.246582294  fv      Gamma   Cox, Log-Normal    FALSE #> 10546  660 1.1214802 0.345331077  fv      Gamma   Cox, Log-Normal    FALSE #> 10562  661 0.8252543 0.208741101  fv      Gamma   Cox, Log-Normal    FALSE #> 10578  662 0.5439256 0.113712777  fv      Gamma   Cox, Log-Normal    FALSE #> 10594  663 0.7762586 0.185818017  fv      Gamma   Cox, Log-Normal    FALSE #> 10610  664 0.9321685 0.141486786  fv      Gamma   Cox, Log-Normal    FALSE #> 10626  665 0.9641151 0.245897886  fv      Gamma   Cox, Log-Normal    FALSE #> 10642  666 0.9707480 0.281544181  fv      Gamma   Cox, Log-Normal    FALSE #> 10658  667 1.1775076 0.327488577  fv      Gamma   Cox, Log-Normal    FALSE #> 10674  668 1.2100674 0.383647041  fv      Gamma   Cox, Log-Normal    FALSE #> 10690  669 0.7079595 0.202483076  fv      Gamma   Cox, Log-Normal    FALSE #> 10706  670 1.1701748 0.308158336  fv      Gamma   Cox, Log-Normal    FALSE #> 10722  671 1.2338212 0.274821951  fv      Gamma   Cox, Log-Normal    FALSE #> 10738  672 0.7795158 0.186065151  fv      Gamma   Cox, Log-Normal    FALSE #> 10754  673 0.8208763 0.152826786  fv      Gamma   Cox, Log-Normal    FALSE #> 10770  674 1.3740360 0.392376078  fv      Gamma   Cox, Log-Normal    FALSE #> 10786  675 0.9580433 0.177217021  fv      Gamma   Cox, Log-Normal    FALSE #> 10802  676 0.6479120 0.215451916  fv      Gamma   Cox, Log-Normal    FALSE #> 10818  677 0.8237457 0.173619019  fv      Gamma   Cox, Log-Normal    FALSE #> 10834  678 1.1448183 0.294799498  fv      Gamma   Cox, Log-Normal    FALSE #> 10850  679 1.4160710 0.319465728  fv      Gamma   Cox, Log-Normal    FALSE #> 10866  680 1.0010333 0.366282201  fv      Gamma   Cox, Log-Normal    FALSE #> 10882  681 0.7361065 0.213144710  fv      Gamma   Cox, Log-Normal    FALSE #> 10898  682 0.9640440 0.204357977  fv      Gamma   Cox, Log-Normal    FALSE #> 10914  683 1.1832964 0.328296114  fv      Gamma   Cox, Log-Normal    FALSE #> 10930  684 1.2352413 0.256935059  fv      Gamma   Cox, Log-Normal    FALSE #> 10946  685 0.8576592 0.208323295  fv      Gamma   Cox, Log-Normal    FALSE #> 10962  686 0.6559387 0.148327340  fv      Gamma   Cox, Log-Normal    FALSE #> 10978  687 1.3955422 0.274232845  fv      Gamma   Cox, Log-Normal    FALSE #> 10994  688 0.9477181 0.185695063  fv      Gamma   Cox, Log-Normal    FALSE #> 11010  689 0.8098337 0.146404742  fv      Gamma   Cox, Log-Normal    FALSE #> 11026  690 1.2282291 0.224138226  fv      Gamma   Cox, Log-Normal    FALSE #> 11042  691 1.0052381 0.169059700  fv      Gamma   Cox, Log-Normal    FALSE #> 11058  692 0.9559934 0.175651808  fv      Gamma   Cox, Log-Normal    FALSE #> 11074  693 1.3037994 0.320750495  fv      Gamma   Cox, Log-Normal    FALSE #> 11090  694 1.0887350 0.262845102  fv      Gamma   Cox, Log-Normal    FALSE #> 11106  695 1.0245538 0.316179341  fv      Gamma   Cox, Log-Normal    FALSE #> 11122  696 1.0057025 0.279965660  fv      Gamma   Cox, Log-Normal    FALSE #> 11138  697 1.0332112 0.228229709  fv      Gamma   Cox, Log-Normal    FALSE #> 11154  698 1.0008029 0.230392985  fv      Gamma   Cox, Log-Normal    FALSE #> 11170  699 0.9448768 0.148606204  fv      Gamma   Cox, Log-Normal    FALSE #> 11186  700 1.6100507 0.301322970  fv      Gamma   Cox, Log-Normal     TRUE #> 11202  701 0.8168552 0.166749623  fv      Gamma   Cox, Log-Normal    FALSE #> 11218  702 0.7951008 0.229465092  fv      Gamma   Cox, Log-Normal    FALSE #> 11234  703 0.7124699 0.176676006  fv      Gamma   Cox, Log-Normal    FALSE #> 11250  704 1.2850043 0.227968238  fv      Gamma   Cox, Log-Normal    FALSE #> 11266  705 1.4407282 0.311041525  fv      Gamma   Cox, Log-Normal    FALSE #> 11282  706 1.0292844 0.184432785  fv      Gamma   Cox, Log-Normal    FALSE #> 11298  707 0.7592113 0.220094759  fv      Gamma   Cox, Log-Normal    FALSE #> 11314  708 1.1536924 0.378570168  fv      Gamma   Cox, Log-Normal    FALSE #> 11330  709 0.9301348 0.152019700  fv      Gamma   Cox, Log-Normal    FALSE #> 11346  710 0.9747393 0.152258390  fv      Gamma   Cox, Log-Normal    FALSE #> 11362  711 0.4419933 0.091587040  fv      Gamma   Cox, Log-Normal    FALSE #> 11378  712 0.9574598 0.232824090  fv      Gamma   Cox, Log-Normal    FALSE #> 11394  713 0.9989393 0.196517724  fv      Gamma   Cox, Log-Normal    FALSE #> 11410  714 1.2846766 0.430198645  fv      Gamma   Cox, Log-Normal     TRUE #> 11426  715 1.3765564 0.287137467  fv      Gamma   Cox, Log-Normal    FALSE #> 11442  716 1.0736204 0.271160711  fv      Gamma   Cox, Log-Normal    FALSE #> 11458  717 0.8447250 0.275879055  fv      Gamma   Cox, Log-Normal    FALSE #> 11474  718 1.0081585 0.250844357  fv      Gamma   Cox, Log-Normal    FALSE #> 11490  719 0.7888853 0.143021641  fv      Gamma   Cox, Log-Normal    FALSE #> 11506  720 0.8275914 0.169821218  fv      Gamma   Cox, Log-Normal    FALSE #> 11522  721 1.0362940 0.250343175  fv      Gamma   Cox, Log-Normal    FALSE #> 11538  722 1.2802454 0.333262567  fv      Gamma   Cox, Log-Normal    FALSE #> 11554  723 1.0636312 0.323034788  fv      Gamma   Cox, Log-Normal    FALSE #> 11570  724 0.7908268 0.162506524  fv      Gamma   Cox, Log-Normal    FALSE #> 11586  725 0.8741268 0.195905074  fv      Gamma   Cox, Log-Normal    FALSE #> 11602  726 0.7664078 0.217471393  fv      Gamma   Cox, Log-Normal    FALSE #> 11618  727 1.1345593 0.312048852  fv      Gamma   Cox, Log-Normal    FALSE #> 11634  728 0.6815268 0.256231339  fv      Gamma   Cox, Log-Normal    FALSE #> 11650  729 1.0012762 0.190967467  fv      Gamma   Cox, Log-Normal    FALSE #> 11666  730 1.3645868 0.417363902  fv      Gamma   Cox, Log-Normal    FALSE #> 11682  731 1.4012566 0.325484691  fv      Gamma   Cox, Log-Normal    FALSE #> 11698  732 1.2333383 0.213696113  fv      Gamma   Cox, Log-Normal    FALSE #> 11714  733 0.7422468 0.180001456  fv      Gamma   Cox, Log-Normal    FALSE #> 11730  734 0.7656523 0.212408503  fv      Gamma   Cox, Log-Normal    FALSE #> 11746  735 1.1366086 0.281915857  fv      Gamma   Cox, Log-Normal    FALSE #> 11762  736 1.0835050 0.304493693  fv      Gamma   Cox, Log-Normal    FALSE #> 11778  737 0.9811711 0.246886659  fv      Gamma   Cox, Log-Normal    FALSE #> 11794  738 0.8368011 0.340475523  fv      Gamma   Cox, Log-Normal    FALSE #> 11810  739 0.9087165 0.200542432  fv      Gamma   Cox, Log-Normal    FALSE #> 11826  740 0.8700050 0.193399163  fv      Gamma   Cox, Log-Normal    FALSE #> 11842  741 1.0493966 0.242318925  fv      Gamma   Cox, Log-Normal    FALSE #> 11858  742 0.7285165 0.152167499  fv      Gamma   Cox, Log-Normal    FALSE #> 11874  743 1.0809077 0.253157125  fv      Gamma   Cox, Log-Normal    FALSE #> 11890  744 1.3116924 0.349032088  fv      Gamma   Cox, Log-Normal    FALSE #> 11906  745 0.8668810 0.255673856  fv      Gamma   Cox, Log-Normal    FALSE #> 11922  746 0.5031063 0.086395670  fv      Gamma   Cox, Log-Normal    FALSE #> 11938  747 0.8514091 0.212312538  fv      Gamma   Cox, Log-Normal    FALSE #> 11954  748 1.0763630 0.181266049  fv      Gamma   Cox, Log-Normal    FALSE #> 11970  749 0.8902869 0.251796213  fv      Gamma   Cox, Log-Normal    FALSE #> 11986  750 0.6972912 0.147370632  fv      Gamma   Cox, Log-Normal    FALSE #> 12002  751 1.1695505 0.209407579  fv      Gamma   Cox, Log-Normal    FALSE #> 12018  752 1.0586978 0.231401972  fv      Gamma   Cox, Log-Normal    FALSE #> 12034  753 0.7359262 0.219724376  fv      Gamma   Cox, Log-Normal    FALSE #> 12050  754 1.0893551 0.230029873  fv      Gamma   Cox, Log-Normal    FALSE #> 12066  755 0.9971904 0.175161437  fv      Gamma   Cox, Log-Normal    FALSE #> 12082  756 1.5691599 0.295112101  fv      Gamma   Cox, Log-Normal    FALSE #> 12098  757 0.7713164 0.186796598  fv      Gamma   Cox, Log-Normal    FALSE #> 12114  758 0.6428408 0.152198490  fv      Gamma   Cox, Log-Normal    FALSE #> 12130  759 0.7885099 0.154161821  fv      Gamma   Cox, Log-Normal    FALSE #> 12146  760 0.7606324 0.162254956  fv      Gamma   Cox, Log-Normal    FALSE #> 12162  761 1.0477843 0.279182770  fv      Gamma   Cox, Log-Normal    FALSE #> 12178  762 0.8354850 0.168909484  fv      Gamma   Cox, Log-Normal    FALSE #> 12194  763 0.7569949 0.166489594  fv      Gamma   Cox, Log-Normal    FALSE #> 12210  764 0.9842876 0.267116745  fv      Gamma   Cox, Log-Normal    FALSE #> 12226  765 0.7749107 0.196827870  fv      Gamma   Cox, Log-Normal    FALSE #> 12242  766 0.6556944 0.126006011  fv      Gamma   Cox, Log-Normal    FALSE #> 12258  767 0.9765773 0.221128587  fv      Gamma   Cox, Log-Normal    FALSE #> 12274  768 1.0265077 0.226275490  fv      Gamma   Cox, Log-Normal    FALSE #> 12290  769 1.0165964 0.206041439  fv      Gamma   Cox, Log-Normal    FALSE #> 12306  770 0.7551010 0.216493504  fv      Gamma   Cox, Log-Normal    FALSE #> 12322  771 0.6450434 0.111705699  fv      Gamma   Cox, Log-Normal    FALSE #> 12338  772 1.1912443 0.351233857  fv      Gamma   Cox, Log-Normal    FALSE #> 12354  773 0.8052817 0.219677124  fv      Gamma   Cox, Log-Normal    FALSE #> 12370  774 0.9495006 0.183682679  fv      Gamma   Cox, Log-Normal    FALSE #> 12386  775 1.4295249 0.357730455  fv      Gamma   Cox, Log-Normal    FALSE #> 12402  776 0.9464133 0.161655065  fv      Gamma   Cox, Log-Normal    FALSE #> 12418  777 0.7990472 0.188022633  fv      Gamma   Cox, Log-Normal    FALSE #> 12434  778 1.1233230 0.279950067  fv      Gamma   Cox, Log-Normal    FALSE #> 12450  779 1.1826743 0.287929833  fv      Gamma   Cox, Log-Normal    FALSE #> 12466  780 1.1225019 0.260847577  fv      Gamma   Cox, Log-Normal    FALSE #> 12482  781 0.8087508 0.219948457  fv      Gamma   Cox, Log-Normal    FALSE #> 12498  782 0.9323221 0.354579850  fv      Gamma   Cox, Log-Normal    FALSE #> 12514  783 0.9546923 0.172823948  fv      Gamma   Cox, Log-Normal    FALSE #> 12530  784 0.8109267 0.135871785  fv      Gamma   Cox, Log-Normal    FALSE #> 12546  785 0.8227292 0.153966550  fv      Gamma   Cox, Log-Normal    FALSE #> 12562  786 1.0155313 0.221229923  fv      Gamma   Cox, Log-Normal    FALSE #> 12578  787 1.2265997 0.381780641  fv      Gamma   Cox, Log-Normal    FALSE #> 12594  788 0.9968011 0.271020910  fv      Gamma   Cox, Log-Normal    FALSE #> 12610  789 0.9961110 0.264108258  fv      Gamma   Cox, Log-Normal    FALSE #> 12626  790 1.3866559 0.403052216  fv      Gamma   Cox, Log-Normal    FALSE #> 12642  791 1.2942187 0.345936087  fv      Gamma   Cox, Log-Normal    FALSE #> 12658  792 1.3274802 0.294559219  fv      Gamma   Cox, Log-Normal    FALSE #> 12674  793 0.8710422 0.188337532  fv      Gamma   Cox, Log-Normal    FALSE #> 12690  794 0.4656342 0.086212385  fv      Gamma   Cox, Log-Normal    FALSE #> 12706  795 0.9488004 0.249943737  fv      Gamma   Cox, Log-Normal    FALSE #> 12722  796 1.0833683 0.238579911  fv      Gamma   Cox, Log-Normal    FALSE #> 12738  797 0.7134433 0.174971445  fv      Gamma   Cox, Log-Normal    FALSE #> 12754  798 0.7488683 0.203887403  fv      Gamma   Cox, Log-Normal    FALSE #> 12770  799 1.4826244 0.460159427  fv      Gamma   Cox, Log-Normal     TRUE #> 12786  800 1.2555919 0.228477636  fv      Gamma   Cox, Log-Normal    FALSE #> 12802  801 0.7767814 0.216792490  fv      Gamma   Cox, Log-Normal    FALSE #> 12818  802 0.8039006 0.143589898  fv      Gamma   Cox, Log-Normal    FALSE #> 12834  803 0.9486562 0.154256665  fv      Gamma   Cox, Log-Normal    FALSE #> 12850  804 1.0328948 0.231771198  fv      Gamma   Cox, Log-Normal    FALSE #> 12866  805 0.9798605 0.228212803  fv      Gamma   Cox, Log-Normal    FALSE #> 12882  806 0.7306827 0.144691202  fv      Gamma   Cox, Log-Normal    FALSE #> 12898  807 1.2700539 0.278143788  fv      Gamma   Cox, Log-Normal    FALSE #> 12914  808 0.9736841 0.293168234  fv      Gamma   Cox, Log-Normal    FALSE #> 12930  809 1.3303860 0.442691890  fv      Gamma   Cox, Log-Normal     TRUE #> 12946  810 0.9218010 0.172303136  fv      Gamma   Cox, Log-Normal    FALSE #> 12962  811 1.3147421 0.258687544  fv      Gamma   Cox, Log-Normal    FALSE #> 12978  812 0.8372171 0.211667829  fv      Gamma   Cox, Log-Normal    FALSE #> 12994  813 1.1669162 0.244223344  fv      Gamma   Cox, Log-Normal    FALSE #> 13010  814 0.9559600 0.260826010  fv      Gamma   Cox, Log-Normal    FALSE #> 13026  815 1.4235527 0.327459602  fv      Gamma   Cox, Log-Normal    FALSE #> 13042  816 0.7081849 0.196971428  fv      Gamma   Cox, Log-Normal    FALSE #> 13058  817 1.2131452 0.372971263  fv      Gamma   Cox, Log-Normal    FALSE #> 13074  818 0.8741341 0.256450653  fv      Gamma   Cox, Log-Normal    FALSE #> 13090  819 1.3459854 0.408062364  fv      Gamma   Cox, Log-Normal    FALSE #> 13106  820 0.8721563 0.225198849  fv      Gamma   Cox, Log-Normal    FALSE #> 13122  821 0.9494623 0.270727048  fv      Gamma   Cox, Log-Normal    FALSE #> 13138  822 0.6048632 0.109814168  fv      Gamma   Cox, Log-Normal    FALSE #> 13154  823 1.0187693 0.277289565  fv      Gamma   Cox, Log-Normal    FALSE #> 13170  824 0.9878398 0.232512666  fv      Gamma   Cox, Log-Normal    FALSE #> 13186  825 0.6361843 0.116639807  fv      Gamma   Cox, Log-Normal    FALSE #> 13202  826 0.9407440 0.186621880  fv      Gamma   Cox, Log-Normal    FALSE #> 13218  827 0.9250230 0.206624297  fv      Gamma   Cox, Log-Normal    FALSE #> 13234  828 1.4586544 0.400674246  fv      Gamma   Cox, Log-Normal    FALSE #> 13250  829 0.7062700 0.123119510  fv      Gamma   Cox, Log-Normal    FALSE #> 13266  830 1.2702881 0.292952627  fv      Gamma   Cox, Log-Normal    FALSE #> 13282  831 0.7167738 0.210742781  fv      Gamma   Cox, Log-Normal    FALSE #> 13298  832 0.8667566 0.156346725  fv      Gamma   Cox, Log-Normal    FALSE #> 13314  833 0.9890096 0.226437277  fv      Gamma   Cox, Log-Normal    FALSE #> 13330  834 0.6529406 0.148180979  fv      Gamma   Cox, Log-Normal    FALSE #> 13346  835 0.9492850 0.219981130  fv      Gamma   Cox, Log-Normal    FALSE #> 13362  836 0.9453736 0.258429879  fv      Gamma   Cox, Log-Normal    FALSE #> 13378  837 0.9578582 0.272680782  fv      Gamma   Cox, Log-Normal    FALSE #> 13394  838 1.2202325 0.219416306  fv      Gamma   Cox, Log-Normal    FALSE #> 13410  839 0.7622538 0.136150062  fv      Gamma   Cox, Log-Normal    FALSE #> 13426  840 1.0482271 0.241604455  fv      Gamma   Cox, Log-Normal    FALSE #> 13442  841 0.9043676 0.148058562  fv      Gamma   Cox, Log-Normal    FALSE #> 13458  842 0.9913150 0.280168128  fv      Gamma   Cox, Log-Normal    FALSE #> 13474  843 1.3223045 0.330990887  fv      Gamma   Cox, Log-Normal    FALSE #> 13490  844 1.0021235 0.292823919  fv      Gamma   Cox, Log-Normal    FALSE #> 13506  845 1.4004414 0.318104284  fv      Gamma   Cox, Log-Normal    FALSE #> 13522  846 0.8416453 0.250660878  fv      Gamma   Cox, Log-Normal    FALSE #> 13538  847 0.8243172 0.288155697  fv      Gamma   Cox, Log-Normal    FALSE #> 13554  848 0.5899439 0.122537752  fv      Gamma   Cox, Log-Normal    FALSE #> 13570  849 0.9414000 0.178355553  fv      Gamma   Cox, Log-Normal    FALSE #> 13586  850 0.8407891 0.160878072  fv      Gamma   Cox, Log-Normal    FALSE #> 13602  851 0.9823066 0.238544662  fv      Gamma   Cox, Log-Normal    FALSE #> 13618  852 0.5618333 0.110283440  fv      Gamma   Cox, Log-Normal    FALSE #> 13634  853 0.9624791 0.197866836  fv      Gamma   Cox, Log-Normal    FALSE #> 13650  854 0.7179179 0.157504403  fv      Gamma   Cox, Log-Normal    FALSE #> 13666  855 1.2551276 0.310599897  fv      Gamma   Cox, Log-Normal    FALSE #> 13682  856 1.0833605 0.207529494  fv      Gamma   Cox, Log-Normal    FALSE #> 13698  857 0.7307127 0.179278420  fv      Gamma   Cox, Log-Normal    FALSE #> 13714  858 0.8702718 0.224544233  fv      Gamma   Cox, Log-Normal    FALSE #> 13730  859 0.8669632 0.270433850  fv      Gamma   Cox, Log-Normal    FALSE #> 13746  860 0.7547683 0.132468609  fv      Gamma   Cox, Log-Normal    FALSE #> 13762  861 1.1262160 0.257465167  fv      Gamma   Cox, Log-Normal    FALSE #> 13778  862 0.8389212 0.161464653  fv      Gamma   Cox, Log-Normal    FALSE #> 13794  863 1.0119069 0.212102924  fv      Gamma   Cox, Log-Normal    FALSE #> 13810  864 0.9537157 0.216189336  fv      Gamma   Cox, Log-Normal    FALSE #> 13826  865 1.0120405 0.205255774  fv      Gamma   Cox, Log-Normal    FALSE #> 13842  866 0.7974231 0.133804459  fv      Gamma   Cox, Log-Normal    FALSE #> 13858  867 0.9060825 0.156806604  fv      Gamma   Cox, Log-Normal    FALSE #> 13874  868 0.9688863 0.217092971  fv      Gamma   Cox, Log-Normal    FALSE #> 13890  869 1.0266109 0.254779900  fv      Gamma   Cox, Log-Normal    FALSE #> 13906  870 0.9479034 0.327682086  fv      Gamma   Cox, Log-Normal    FALSE #> 13922  871 1.2468126 0.291359832  fv      Gamma   Cox, Log-Normal    FALSE #> 13938  872 1.3083943 0.333635934  fv      Gamma   Cox, Log-Normal    FALSE #> 13954  873 1.1743319 0.209116592  fv      Gamma   Cox, Log-Normal    FALSE #> 13970  874 1.5305586 0.443951756  fv      Gamma   Cox, Log-Normal     TRUE #> 13986  875 0.7607191 0.145312089  fv      Gamma   Cox, Log-Normal    FALSE #> 14002  876 0.8779484 0.192866111  fv      Gamma   Cox, Log-Normal    FALSE #> 14018  877 0.9984085 0.211132798  fv      Gamma   Cox, Log-Normal    FALSE #> 14034  878 1.0891524 0.319090619  fv      Gamma   Cox, Log-Normal    FALSE #> 14050  879 0.8993115 0.342239070  fv      Gamma   Cox, Log-Normal    FALSE #> 14066  880 1.4072146 0.315934948  fv      Gamma   Cox, Log-Normal    FALSE #> 14082  881 1.1304945 0.294741363  fv      Gamma   Cox, Log-Normal    FALSE #> 14098  882 1.2693027 0.233265611  fv      Gamma   Cox, Log-Normal    FALSE #> 14114  883 0.7511724 0.169083381  fv      Gamma   Cox, Log-Normal    FALSE #> 14130  884 0.7769513 0.153621573  fv      Gamma   Cox, Log-Normal    FALSE #> 14146  885 0.7564225 0.181152611  fv      Gamma   Cox, Log-Normal    FALSE #> 14162  886 0.7533057 0.187639873  fv      Gamma   Cox, Log-Normal    FALSE #> 14178  887 0.9411945 0.197051463  fv      Gamma   Cox, Log-Normal    FALSE #> 14194  888 1.3209266 0.241801270  fv      Gamma   Cox, Log-Normal    FALSE #> 14210  889 1.0464163 0.206246274  fv      Gamma   Cox, Log-Normal    FALSE #> 14226  890 0.7922736 0.208611946  fv      Gamma   Cox, Log-Normal    FALSE #> 14242  891 0.6048097 0.093277354  fv      Gamma   Cox, Log-Normal    FALSE #> 14258  892 0.9090234 0.181751021  fv      Gamma   Cox, Log-Normal    FALSE #> 14274  893 1.1860418 0.343862998  fv      Gamma   Cox, Log-Normal    FALSE #> 14290  894 0.7139899 0.164547200  fv      Gamma   Cox, Log-Normal    FALSE #> 14306  895 0.8511802 0.176060960  fv      Gamma   Cox, Log-Normal    FALSE #> 14322  896 1.1897072 0.217763226  fv      Gamma   Cox, Log-Normal    FALSE #> 14338  897 0.8726068 0.157842972  fv      Gamma   Cox, Log-Normal    FALSE #> 14354  898 1.1845061 0.237803283  fv      Gamma   Cox, Log-Normal    FALSE #> 14370  899 1.0443795 0.246772790  fv      Gamma   Cox, Log-Normal    FALSE #> 14386  900 1.1583504 0.323680854  fv      Gamma   Cox, Log-Normal    FALSE #> 14402  901 0.7415650 0.170452452  fv      Gamma   Cox, Log-Normal    FALSE #> 14418  902 0.7003490 0.139088567  fv      Gamma   Cox, Log-Normal    FALSE #> 14434  903 0.7841447 0.149742194  fv      Gamma   Cox, Log-Normal    FALSE #> 14450  904 1.5901697 0.482677057  fv      Gamma   Cox, Log-Normal     TRUE #> 14466  905 0.7896432 0.138737460  fv      Gamma   Cox, Log-Normal    FALSE #> 14482  906 1.3915225 0.266295262  fv      Gamma   Cox, Log-Normal    FALSE #> 14498  907 1.0235347 0.258435199  fv      Gamma   Cox, Log-Normal    FALSE #> 14514  908 0.8794528 0.274871726  fv      Gamma   Cox, Log-Normal    FALSE #> 14530  909 0.7616585 0.153069885  fv      Gamma   Cox, Log-Normal    FALSE #> 14546  910 0.6709826 0.127266750  fv      Gamma   Cox, Log-Normal    FALSE #> 14562  911 0.9426690 0.305758226  fv      Gamma   Cox, Log-Normal    FALSE #> 14578  912 0.6876512 0.115011789  fv      Gamma   Cox, Log-Normal    FALSE #> 14594  913 0.9720124 0.200778297  fv      Gamma   Cox, Log-Normal    FALSE #> 14610  914 0.8574690 0.251944490  fv      Gamma   Cox, Log-Normal    FALSE #> 14626  915 1.1770862 0.283699685  fv      Gamma   Cox, Log-Normal    FALSE #> 14642  916 0.6674906 0.129719682  fv      Gamma   Cox, Log-Normal    FALSE #> 14658  917 1.0089240 0.301683903  fv      Gamma   Cox, Log-Normal    FALSE #> 14674  918 1.0180468 0.176241349  fv      Gamma   Cox, Log-Normal    FALSE #> 14690  919 0.6774361 0.111074751  fv      Gamma   Cox, Log-Normal    FALSE #> 14706  920 0.9816049 0.176035972  fv      Gamma   Cox, Log-Normal    FALSE #> 14722  921 1.1225462 0.265504818  fv      Gamma   Cox, Log-Normal    FALSE #> 14738  922 1.6005520 0.403568432  fv      Gamma   Cox, Log-Normal    FALSE #> 14754  923 0.9384639 0.171544257  fv      Gamma   Cox, Log-Normal    FALSE #> 14770  924 0.9551133 0.151122096  fv      Gamma   Cox, Log-Normal    FALSE #> 14786  925 1.2062083 0.344311268  fv      Gamma   Cox, Log-Normal    FALSE #> 14802  926 0.9341805 0.185300287  fv      Gamma   Cox, Log-Normal    FALSE #> 14818  927 0.5496008 0.113479221  fv      Gamma   Cox, Log-Normal    FALSE #> 14834  928 0.9298163 0.196767579  fv      Gamma   Cox, Log-Normal    FALSE #> 14850  929 1.0148063 0.250301564  fv      Gamma   Cox, Log-Normal    FALSE #> 14866  930 1.4671972 0.477190164  fv      Gamma   Cox, Log-Normal     TRUE #> 14882  931 0.9037657 0.193220022  fv      Gamma   Cox, Log-Normal    FALSE #> 14898  932 1.2131691 0.230914741  fv      Gamma   Cox, Log-Normal    FALSE #> 14914  933 0.7664552 0.172978498  fv      Gamma   Cox, Log-Normal    FALSE #> 14930  934 0.7235467 0.099478559  fv      Gamma   Cox, Log-Normal    FALSE #> 14946  935 0.5651276 0.109392225  fv      Gamma   Cox, Log-Normal    FALSE #> 14962  936 0.7738704 0.156934151  fv      Gamma   Cox, Log-Normal    FALSE #> 14978  937 1.4874432 0.363632319  fv      Gamma   Cox, Log-Normal    FALSE #> 14994  938 1.0628662 0.267143882  fv      Gamma   Cox, Log-Normal    FALSE #> 15010  939 1.0222365 0.192388758  fv      Gamma   Cox, Log-Normal    FALSE #> 15026  940 1.0277460 0.196087165  fv      Gamma   Cox, Log-Normal    FALSE #> 15042  941 0.8016317 0.159316442  fv      Gamma   Cox, Log-Normal    FALSE #> 15058  942 0.8411527 0.182284638  fv      Gamma   Cox, Log-Normal    FALSE #> 15074  943 0.5594256 0.113623496  fv      Gamma   Cox, Log-Normal    FALSE #> 15090  944 0.7729183 0.124686294  fv      Gamma   Cox, Log-Normal    FALSE #> 15106  945 0.7428305 0.151083868  fv      Gamma   Cox, Log-Normal    FALSE #> 15122  946 1.1677163 0.377504451  fv      Gamma   Cox, Log-Normal    FALSE #> 15138  947 0.8375811 0.210228463  fv      Gamma   Cox, Log-Normal    FALSE #> 15154  948 0.6906720 0.230450716  fv      Gamma   Cox, Log-Normal    FALSE #> 15170  949 0.8148721 0.226169057  fv      Gamma   Cox, Log-Normal    FALSE #> 15186  950 0.7721582 0.203677104  fv      Gamma   Cox, Log-Normal    FALSE #> 15202  951 0.9992324 0.220599272  fv      Gamma   Cox, Log-Normal    FALSE #> 15218  952 0.8222391 0.179491347  fv      Gamma   Cox, Log-Normal    FALSE #> 15234  953 1.6443296 0.391757692  fv      Gamma   Cox, Log-Normal     TRUE #> 15250  954 0.8622421 0.193926799  fv      Gamma   Cox, Log-Normal    FALSE #> 15266  955 1.0271637 0.198165599  fv      Gamma   Cox, Log-Normal    FALSE #> 15282  956 0.7877326 0.190345590  fv      Gamma   Cox, Log-Normal    FALSE #> 15298  957 0.7332077 0.170648591  fv      Gamma   Cox, Log-Normal    FALSE #> 15314  958 0.6742120 0.141736639  fv      Gamma   Cox, Log-Normal    FALSE #> 15330  959 0.8116423 0.176636628  fv      Gamma   Cox, Log-Normal    FALSE #> 15346  960 1.0381126 0.247132858  fv      Gamma   Cox, Log-Normal    FALSE #> 15362  961 0.6263490 0.119573651  fv      Gamma   Cox, Log-Normal    FALSE #> 15378  962 1.2298672 0.279659616  fv      Gamma   Cox, Log-Normal    FALSE #> 15394  963 1.3100317 0.351291999  fv      Gamma   Cox, Log-Normal    FALSE #> 15410  964 0.9385725 0.212853684  fv      Gamma   Cox, Log-Normal    FALSE #> 15426  965 0.7237833 0.136184000  fv      Gamma   Cox, Log-Normal    FALSE #> 15442  966 1.0774498 0.255201646  fv      Gamma   Cox, Log-Normal    FALSE #> 15458  967 0.8661890 0.186999729  fv      Gamma   Cox, Log-Normal    FALSE #> 15474  968 0.7440313 0.163577636  fv      Gamma   Cox, Log-Normal    FALSE #> 15490  969 1.0548245 0.323917765  fv      Gamma   Cox, Log-Normal    FALSE #> 15506  970 1.0335275 0.417785729  fv      Gamma   Cox, Log-Normal    FALSE #> 15522  971 0.8920170 0.217781465  fv      Gamma   Cox, Log-Normal    FALSE #> 15538  972 0.8443654 0.262375588  fv      Gamma   Cox, Log-Normal    FALSE #> 15554  973 1.4316470 0.431582164  fv      Gamma   Cox, Log-Normal     TRUE #> 15570  974 0.6408896 0.154553156  fv      Gamma   Cox, Log-Normal    FALSE #> 15586  975 0.5818109 0.121328131  fv      Gamma   Cox, Log-Normal    FALSE #> 15602  976 0.9803179 0.204723535  fv      Gamma   Cox, Log-Normal    FALSE #> 15618  977 1.1977389 0.247126848  fv      Gamma   Cox, Log-Normal    FALSE #> 15634  978 1.1178645 0.327386366  fv      Gamma   Cox, Log-Normal    FALSE #> 15650  979 1.2145658 0.344268311  fv      Gamma   Cox, Log-Normal    FALSE #> 15666  980 0.6638111 0.139988436  fv      Gamma   Cox, Log-Normal    FALSE #> 15682  981 0.9741935 0.298000366  fv      Gamma   Cox, Log-Normal    FALSE #> 15698  982 1.2667102 0.291885120  fv      Gamma   Cox, Log-Normal    FALSE #> 15714  983 0.6366284 0.142543764  fv      Gamma   Cox, Log-Normal    FALSE #> 15730  984 0.9916257 0.230161087  fv      Gamma   Cox, Log-Normal    FALSE #> 15746  985 1.1673924 0.329455282  fv      Gamma   Cox, Log-Normal    FALSE #> 15762  986 0.8093946 0.131512474  fv      Gamma   Cox, Log-Normal    FALSE #> 15778  987 0.6809663 0.166413324  fv      Gamma   Cox, Log-Normal    FALSE #> 15794  988 0.8090418 0.168468434  fv      Gamma   Cox, Log-Normal    FALSE #> 15810  989 1.1203963 0.254390270  fv      Gamma   Cox, Log-Normal    FALSE #> 15826  990 0.8937730 0.181708706  fv      Gamma   Cox, Log-Normal    FALSE #> 15842  991 1.0581390 0.254618273  fv      Gamma   Cox, Log-Normal    FALSE #> 15858  992 1.1236897 0.339523124  fv      Gamma   Cox, Log-Normal    FALSE #> 15874  993 1.4089872 0.331849490  fv      Gamma   Cox, Log-Normal    FALSE #> 15890  994 0.9304340 0.200697045  fv      Gamma   Cox, Log-Normal    FALSE #> 15906  995 0.9726530 0.218311522  fv      Gamma   Cox, Log-Normal    FALSE #> 15922  996 0.8111108 0.164699823  fv      Gamma   Cox, Log-Normal    FALSE #> 15938  997 0.7307507 0.230449780  fv      Gamma   Cox, Log-Normal    FALSE #> 15954  998 0.8727082 0.192062571  fv      Gamma   Cox, Log-Normal    FALSE #> 15970  999 0.6342790 0.116767975  fv      Gamma   Cox, Log-Normal    FALSE #> 15986 1000 0.6557219 0.167090143  fv      Gamma   Cox, Log-Normal    FALSE #> 3        1 0.6583130 0.126035398  fv      Gamma      RP(P), Gamma    FALSE #> 19       2 0.6622712 0.129798360  fv      Gamma      RP(P), Gamma    FALSE #> 35       3 1.0983598 0.207128706  fv      Gamma      RP(P), Gamma     TRUE #> 51       4 0.8432273 0.157280985  fv      Gamma      RP(P), Gamma    FALSE #> 67       5 0.7044549 0.135560564  fv      Gamma      RP(P), Gamma    FALSE #> 83       6        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 99       7 0.6501343 0.124699716  fv      Gamma      RP(P), Gamma    FALSE #> 115      8 1.0008371 0.185404780  fv      Gamma      RP(P), Gamma    FALSE #> 131      9 0.8262565 0.156514195  fv      Gamma      RP(P), Gamma    FALSE #> 147     10 0.8201887 0.155263227  fv      Gamma      RP(P), Gamma    FALSE #> 163     11 0.8137370 0.155704386  fv      Gamma      RP(P), Gamma    FALSE #> 179     12 0.9939974 0.184176616  fv      Gamma      RP(P), Gamma    FALSE #> 195     13 0.9504802 0.177824029  fv      Gamma      RP(P), Gamma    FALSE #> 211     14 0.5829730 0.115298145  fv      Gamma      RP(P), Gamma    FALSE #> 227     15 0.8822492 0.165491846  fv      Gamma      RP(P), Gamma    FALSE #> 243     16 1.0082479 0.185522929  fv      Gamma      RP(P), Gamma    FALSE #> 259     17 0.5973382 0.115826569  fv      Gamma      RP(P), Gamma    FALSE #> 275     18 0.4678429 0.096466091  fv      Gamma      RP(P), Gamma    FALSE #> 291     19 0.7328936 0.139614821  fv      Gamma      RP(P), Gamma    FALSE #> 307     20 0.9565953 0.179037879  fv      Gamma      RP(P), Gamma    FALSE #> 323     21 0.5538343 0.111582907  fv      Gamma      RP(P), Gamma    FALSE #> 339     22 0.8928450 0.168502035  fv      Gamma      RP(P), Gamma    FALSE #> 355     23 0.6152640 0.118919219  fv      Gamma      RP(P), Gamma    FALSE #> 371     24 0.7529937 0.142318629  fv      Gamma      RP(P), Gamma    FALSE #> 387     25 0.7807405 0.147597737  fv      Gamma      RP(P), Gamma    FALSE #> 403     26 0.7246273 0.139343002  fv      Gamma      RP(P), Gamma    FALSE #> 419     27 1.1459225 0.211761785  fv      Gamma      RP(P), Gamma     TRUE #> 435     28 1.0210508 0.188347485  fv      Gamma      RP(P), Gamma    FALSE #> 451     29        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 467     30 0.9633830 0.180741692  fv      Gamma      RP(P), Gamma    FALSE #> 483     31 0.6172289 0.121507402  fv      Gamma      RP(P), Gamma    FALSE #> 499     32 0.7787334 0.148374349  fv      Gamma      RP(P), Gamma    FALSE #> 515     33 0.5966043 0.115428078  fv      Gamma      RP(P), Gamma    FALSE #> 531     34 0.5606909 0.109628967  fv      Gamma      RP(P), Gamma    FALSE #> 547     35 0.7528722 0.146377360  fv      Gamma      RP(P), Gamma    FALSE #> 563     36 0.6003364 0.119702219  fv      Gamma      RP(P), Gamma    FALSE #> 579     37 0.5981520 0.116125997  fv      Gamma      RP(P), Gamma    FALSE #> 595     38 0.5258415 0.103812772  fv      Gamma      RP(P), Gamma    FALSE #> 611     39 0.7151039 0.135677110  fv      Gamma      RP(P), Gamma    FALSE #> 627     40 0.4805411 0.096069472  fv      Gamma      RP(P), Gamma    FALSE #> 643     41 1.1955770 0.214465980  fv      Gamma      RP(P), Gamma     TRUE #> 659     42 0.7131938 0.138882554  fv      Gamma      RP(P), Gamma    FALSE #> 675     43 0.8178025 0.153932387  fv      Gamma      RP(P), Gamma    FALSE #> 691     44 0.8517164 0.159552144  fv      Gamma      RP(P), Gamma    FALSE #> 707     45 0.7770909 0.146570656  fv      Gamma      RP(P), Gamma    FALSE #> 723     46 0.7352140 0.139274517  fv      Gamma      RP(P), Gamma    FALSE #> 739     47 0.9088789 0.172401938  fv      Gamma      RP(P), Gamma    FALSE #> 755     48 0.7543666 0.144637452  fv      Gamma      RP(P), Gamma    FALSE #> 771     49 0.7861070 0.150029967  fv      Gamma      RP(P), Gamma    FALSE #> 787     50 0.7194816 0.136551253  fv      Gamma      RP(P), Gamma    FALSE #> 803     51 0.8995177 0.167805917  fv      Gamma      RP(P), Gamma    FALSE #> 819     52 0.6174492 0.122678304  fv      Gamma      RP(P), Gamma    FALSE #> 835     53 0.6750597 0.130159913  fv      Gamma      RP(P), Gamma    FALSE #> 851     54 0.5309038 0.105027975  fv      Gamma      RP(P), Gamma    FALSE #> 867     55 0.7826463 0.148256356  fv      Gamma      RP(P), Gamma    FALSE #> 883     56 0.7107366 0.137819603  fv      Gamma      RP(P), Gamma    FALSE #> 899     57 0.7873837 0.148295624  fv      Gamma      RP(P), Gamma    FALSE #> 915     58 0.6604236 0.129333742  fv      Gamma      RP(P), Gamma    FALSE #> 931     59 0.7204677 0.137455234  fv      Gamma      RP(P), Gamma    FALSE #> 947     60 0.7937934 0.150215116  fv      Gamma      RP(P), Gamma    FALSE #> 963     61 0.6713512 0.128115321  fv      Gamma      RP(P), Gamma    FALSE #> 979     62 0.6573296 0.128650691  fv      Gamma      RP(P), Gamma    FALSE #> 995     63 0.8607833 0.161828019  fv      Gamma      RP(P), Gamma    FALSE #> 1011    64 0.6543734 0.125543532  fv      Gamma      RP(P), Gamma    FALSE #> 1027    65 0.6954612 0.132073413  fv      Gamma      RP(P), Gamma    FALSE #> 1043    66 0.5448760 0.107425993  fv      Gamma      RP(P), Gamma    FALSE #> 1059    67 0.8194453 0.153073618  fv      Gamma      RP(P), Gamma    FALSE #> 1075    68 0.7446814 0.141854001  fv      Gamma      RP(P), Gamma    FALSE #> 1091    69 0.5579674 0.109410924  fv      Gamma      RP(P), Gamma    FALSE #> 1107    70 0.7098810 0.138933383  fv      Gamma      RP(P), Gamma    FALSE #> 1123    71 0.9406454 0.174400598  fv      Gamma      RP(P), Gamma    FALSE #> 1139    72 0.6530136 0.125588844  fv      Gamma      RP(P), Gamma    FALSE #> 1155    73 0.4734941 0.094092884  fv      Gamma      RP(P), Gamma    FALSE #> 1171    74 0.6754394 0.129318464  fv      Gamma      RP(P), Gamma    FALSE #> 1187    75 0.6957309 0.133701552  fv      Gamma      RP(P), Gamma    FALSE #> 1203    76 0.6999121 0.137477919  fv      Gamma      RP(P), Gamma    FALSE #> 1219    77 0.7887771 0.151086397  fv      Gamma      RP(P), Gamma    FALSE #> 1235    78 1.0335900 0.192017708  fv      Gamma      RP(P), Gamma    FALSE #> 1251    79        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 1267    80 0.6232660 0.123397871  fv      Gamma      RP(P), Gamma    FALSE #> 1283    81 0.9226520 0.175330403  fv      Gamma      RP(P), Gamma    FALSE #> 1299    82 0.7323600 0.139191757  fv      Gamma      RP(P), Gamma    FALSE #> 1315    83 0.4818189 0.099344646  fv      Gamma      RP(P), Gamma    FALSE #> 1331    84 0.7176281 0.136243403  fv      Gamma      RP(P), Gamma    FALSE #> 1347    85 0.7361589 0.140006217  fv      Gamma      RP(P), Gamma    FALSE #> 1363    86 0.7168970 0.136729680  fv      Gamma      RP(P), Gamma    FALSE #> 1379    87 0.5834150 0.113285946  fv      Gamma      RP(P), Gamma    FALSE #> 1395    88 0.7231209 0.137245493  fv      Gamma      RP(P), Gamma    FALSE #> 1411    89 0.7319681 0.139036681  fv      Gamma      RP(P), Gamma    FALSE #> 1427    90 0.8849887 0.164574278  fv      Gamma      RP(P), Gamma    FALSE #> 1443    91 0.7182218 0.136983847  fv      Gamma      RP(P), Gamma    FALSE #> 1459    92 0.6588262 0.126126153  fv      Gamma      RP(P), Gamma    FALSE #> 1475    93 0.9819063 0.189623911  fv      Gamma      RP(P), Gamma    FALSE #> 1491    94 0.8240654 0.157587552  fv      Gamma      RP(P), Gamma    FALSE #> 1507    95 0.7488191 0.141983395  fv      Gamma      RP(P), Gamma    FALSE #> 1523    96 0.4645649 0.093124853  fv      Gamma      RP(P), Gamma    FALSE #> 1539    97 0.5863916 0.113518710  fv      Gamma      RP(P), Gamma    FALSE #> 1555    98 0.8032145 0.151506486  fv      Gamma      RP(P), Gamma    FALSE #> 1571    99 0.5726988 0.112665995  fv      Gamma      RP(P), Gamma    FALSE #> 1587   100 0.8511137 0.158396953  fv      Gamma      RP(P), Gamma    FALSE #> 1603   101 0.8372638 0.155812635  fv      Gamma      RP(P), Gamma    FALSE #> 1619   102 0.7029086 0.133768529  fv      Gamma      RP(P), Gamma    FALSE #> 1635   103 0.8836859 0.168715151  fv      Gamma      RP(P), Gamma    FALSE #> 1651   104 0.7399044 0.139619137  fv      Gamma      RP(P), Gamma    FALSE #> 1667   105 0.8444006 0.159608342  fv      Gamma      RP(P), Gamma    FALSE #> 1683   106 0.7104030 0.135352973  fv      Gamma      RP(P), Gamma    FALSE #> 1699   107 0.8920210 0.169462833  fv      Gamma      RP(P), Gamma    FALSE #> 1715   108 0.7782067 0.151086705  fv      Gamma      RP(P), Gamma    FALSE #> 1731   109 0.6967850 0.134601272  fv      Gamma      RP(P), Gamma    FALSE #> 1747   110 0.8004486 0.151100596  fv      Gamma      RP(P), Gamma    FALSE #> 1763   111 0.8477821 0.159358489  fv      Gamma      RP(P), Gamma    FALSE #> 1779   112 0.4652326 0.093174135  fv      Gamma      RP(P), Gamma    FALSE #> 1795   113 0.5514675 0.108252595  fv      Gamma      RP(P), Gamma    FALSE #> 1811   114 1.1754267 0.213550148  fv      Gamma      RP(P), Gamma     TRUE #> 1827   115 0.6453176 0.124038453  fv      Gamma      RP(P), Gamma    FALSE #> 1843   116 0.5128212 0.101337623  fv      Gamma      RP(P), Gamma    FALSE #> 1859   117 0.7576375 0.142629401  fv      Gamma      RP(P), Gamma    FALSE #> 1875   118 0.5586394 0.109635442  fv      Gamma      RP(P), Gamma    FALSE #> 1891   119 0.6029588 0.117070228  fv      Gamma      RP(P), Gamma    FALSE #> 1907   120 0.7150186 0.136386100  fv      Gamma      RP(P), Gamma    FALSE #> 1923   121 0.6403640 0.124114963  fv      Gamma      RP(P), Gamma    FALSE #> 1939   122 0.6358076 0.123045049  fv      Gamma      RP(P), Gamma    FALSE #> 1955   123 0.7902879 0.149476111  fv      Gamma      RP(P), Gamma    FALSE #> 1971   124 0.7337196 0.138801406  fv      Gamma      RP(P), Gamma    FALSE #> 1987   125 0.8200071 0.155766631  fv      Gamma      RP(P), Gamma    FALSE #> 2003   126 1.0013545 0.191643283  fv      Gamma      RP(P), Gamma    FALSE #> 2019   127 0.8700811 0.162504747  fv      Gamma      RP(P), Gamma    FALSE #> 2035   128 0.8632368 0.161576650  fv      Gamma      RP(P), Gamma    FALSE #> 2051   129 0.5996664 0.119267007  fv      Gamma      RP(P), Gamma    FALSE #> 2067   130 0.6725998 0.129252647  fv      Gamma      RP(P), Gamma    FALSE #> 2083   131 0.6140982 0.117746976  fv      Gamma      RP(P), Gamma    FALSE #> 2099   132 0.7648175 0.148356745  fv      Gamma      RP(P), Gamma    FALSE #> 2115   133 0.7689487 0.147279141  fv      Gamma      RP(P), Gamma    FALSE #> 2131   134 0.7587084 0.143867770  fv      Gamma      RP(P), Gamma    FALSE #> 2147   135 0.5861381 0.114200376  fv      Gamma      RP(P), Gamma    FALSE #> 2163   136 0.8141926 0.154375749  fv      Gamma      RP(P), Gamma    FALSE #> 2179   137 0.8289906 0.155615181  fv      Gamma      RP(P), Gamma    FALSE #> 2195   138 0.9755553 0.183087173  fv      Gamma      RP(P), Gamma    FALSE #> 2211   139 0.6394931 0.123231427  fv      Gamma      RP(P), Gamma    FALSE #> 2227   140 0.7139152 0.135322499  fv      Gamma      RP(P), Gamma    FALSE #> 2243   141 0.5553028 0.110080872  fv      Gamma      RP(P), Gamma    FALSE #> 2259   142 0.6996978 0.133621865  fv      Gamma      RP(P), Gamma    FALSE #> 2275   143 1.1445345 0.218513226  fv      Gamma      RP(P), Gamma     TRUE #> 2291   144 0.8547572 0.159213535  fv      Gamma      RP(P), Gamma    FALSE #> 2307   145 0.6957523 0.133145347  fv      Gamma      RP(P), Gamma    FALSE #> 2323   146 0.6861047 0.131992921  fv      Gamma      RP(P), Gamma    FALSE #> 2339   147        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 2355   148 0.5179757 0.102001564  fv      Gamma      RP(P), Gamma    FALSE #> 2371   149 0.6846178 0.131810489  fv      Gamma      RP(P), Gamma    FALSE #> 2387   150        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 2403   151 0.8349086 0.156790347  fv      Gamma      RP(P), Gamma    FALSE #> 2419   152 0.7973294 0.152804025  fv      Gamma      RP(P), Gamma    FALSE #> 2435   153 0.4923993 0.097955760  fv      Gamma      RP(P), Gamma    FALSE #> 2451   154 0.8363995 0.156721844  fv      Gamma      RP(P), Gamma    FALSE #> 2467   155 0.6940619 0.135793329  fv      Gamma      RP(P), Gamma    FALSE #> 2483   156 0.7151754 0.135913072  fv      Gamma      RP(P), Gamma    FALSE #> 2499   157 0.9592753 0.181238490  fv      Gamma      RP(P), Gamma    FALSE #> 2515   158 0.9946384 0.187427777  fv      Gamma      RP(P), Gamma    FALSE #> 2531   159 0.5061336 0.100702406  fv      Gamma      RP(P), Gamma    FALSE #> 2547   160 0.5671472 0.110846444  fv      Gamma      RP(P), Gamma    FALSE #> 2563   161 1.1633775 0.212438568  fv      Gamma      RP(P), Gamma     TRUE #> 2579   162 0.6706864 0.130117295  fv      Gamma      RP(P), Gamma    FALSE #> 2595   163 0.5941737 0.115420188  fv      Gamma      RP(P), Gamma    FALSE #> 2611   164        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 2627   165 0.7721841 0.145456395  fv      Gamma      RP(P), Gamma    FALSE #> 2643   166 0.7965391 0.153433961  fv      Gamma      RP(P), Gamma    FALSE #> 2659   167 0.8767056 0.163672379  fv      Gamma      RP(P), Gamma    FALSE #> 2675   168 0.9296400 0.172682823  fv      Gamma      RP(P), Gamma    FALSE #> 2691   169 0.7003157 0.134657034  fv      Gamma      RP(P), Gamma    FALSE #> 2707   170 0.6969487 0.133752385  fv      Gamma      RP(P), Gamma    FALSE #> 2723   171 0.6804580 0.132041501  fv      Gamma      RP(P), Gamma    FALSE #> 2739   172 0.8676534 0.162110574  fv      Gamma      RP(P), Gamma    FALSE #> 2755   173 0.6007524 0.117520007  fv      Gamma      RP(P), Gamma    FALSE #> 2771   174 0.8205264 0.155211088  fv      Gamma      RP(P), Gamma    FALSE #> 2787   175 0.6411124 0.124482470  fv      Gamma      RP(P), Gamma    FALSE #> 2803   176 0.6685131 0.127629256  fv      Gamma      RP(P), Gamma    FALSE #> 2819   177 0.5612191 0.111324967  fv      Gamma      RP(P), Gamma    FALSE #> 2835   178 0.8696153 0.161721652  fv      Gamma      RP(P), Gamma    FALSE #> 2851   179 0.5719307 0.111038706  fv      Gamma      RP(P), Gamma    FALSE #> 2867   180 0.7498661 0.145859719  fv      Gamma      RP(P), Gamma    FALSE #> 2883   181 0.8342400 0.156449843  fv      Gamma      RP(P), Gamma    FALSE #> 2899   182 0.7307317 0.138530913  fv      Gamma      RP(P), Gamma    FALSE #> 2915   183 0.5660622 0.110296482  fv      Gamma      RP(P), Gamma    FALSE #> 2931   184 0.6722313 0.130153600  fv      Gamma      RP(P), Gamma    FALSE #> 2947   185 0.8576717 0.161343877  fv      Gamma      RP(P), Gamma    FALSE #> 2963   186 0.9062698 0.173016643  fv      Gamma      RP(P), Gamma    FALSE #> 2979   187 0.7414907 0.141220753  fv      Gamma      RP(P), Gamma    FALSE #> 2995   188 0.5549364 0.108588007  fv      Gamma      RP(P), Gamma    FALSE #> 3011   189        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 3027   190 0.7746357 0.145922206  fv      Gamma      RP(P), Gamma    FALSE #> 3043   191 0.7551856 0.142985236  fv      Gamma      RP(P), Gamma    FALSE #> 3059   192 0.7775915 0.150107716  fv      Gamma      RP(P), Gamma    FALSE #> 3075   193 0.6430137 0.124203106  fv      Gamma      RP(P), Gamma    FALSE #> 3091   194 0.5962792 0.115366357  fv      Gamma      RP(P), Gamma    FALSE #> 3107   195 0.8757453 0.162926509  fv      Gamma      RP(P), Gamma    FALSE #> 3123   196 0.8185691 0.154828956  fv      Gamma      RP(P), Gamma    FALSE #> 3139   197 0.7523839 0.141992354  fv      Gamma      RP(P), Gamma    FALSE #> 3155   198 0.7791112 0.146503900  fv      Gamma      RP(P), Gamma    FALSE #> 3171   199 0.5594019 0.109474490  fv      Gamma      RP(P), Gamma    FALSE #> 3187   200 0.8269718 0.154676067  fv      Gamma      RP(P), Gamma    FALSE #> 3203   201 0.7421167 0.141738015  fv      Gamma      RP(P), Gamma    FALSE #> 3219   202 0.7899331 0.148298132  fv      Gamma      RP(P), Gamma    FALSE #> 3235   203 0.7402666 0.139639494  fv      Gamma      RP(P), Gamma    FALSE #> 3251   204 0.7440994 0.145413762  fv      Gamma      RP(P), Gamma    FALSE #> 3267   205 0.5970540 0.116504438  fv      Gamma      RP(P), Gamma    FALSE #> 3283   206 0.7403789 0.140695149  fv      Gamma      RP(P), Gamma    FALSE #> 3299   207 0.5683539 0.111182081  fv      Gamma      RP(P), Gamma    FALSE #> 3315   208 0.7459009 0.142060451  fv      Gamma      RP(P), Gamma    FALSE #> 3331   209 0.6797062 0.130454189  fv      Gamma      RP(P), Gamma    FALSE #> 3347   210 0.6908023 0.133192700  fv      Gamma      RP(P), Gamma    FALSE #> 3363   211 0.9814670 0.185180252  fv      Gamma      RP(P), Gamma    FALSE #> 3379   212 0.7275717 0.141752091  fv      Gamma      RP(P), Gamma    FALSE #> 3395   213 0.8195451 0.155112422  fv      Gamma      RP(P), Gamma    FALSE #> 3411   214 0.6510424 0.125935368  fv      Gamma      RP(P), Gamma    FALSE #> 3427   215 0.8809648 0.164847839  fv      Gamma      RP(P), Gamma    FALSE #> 3443   216 0.9160453 0.170696980  fv      Gamma      RP(P), Gamma    FALSE #> 3459   217 0.6786443 0.131436644  fv      Gamma      RP(P), Gamma    FALSE #> 3475   218 0.6130170 0.119462464  fv      Gamma      RP(P), Gamma    FALSE #> 3491   219 0.8587860 0.162940219  fv      Gamma      RP(P), Gamma    FALSE #> 3507   220 0.5645745 0.110301667  fv      Gamma      RP(P), Gamma    FALSE #> 3523   221 0.7121007 0.136949273  fv      Gamma      RP(P), Gamma    FALSE #> 3539   222 0.7729783 0.147339017  fv      Gamma      RP(P), Gamma    FALSE #> 3555   223 0.7974666 0.154576435  fv      Gamma      RP(P), Gamma    FALSE #> 3571   224 0.7615940 0.144773736  fv      Gamma      RP(P), Gamma    FALSE #> 3587   225 0.6728903 0.129293781  fv      Gamma      RP(P), Gamma    FALSE #> 3603   226 0.8358787 0.160645352  fv      Gamma      RP(P), Gamma    FALSE #> 3619   227 0.6563351 0.126951384  fv      Gamma      RP(P), Gamma    FALSE #> 3635   228 0.8883501 0.165539138  fv      Gamma      RP(P), Gamma    FALSE #> 3651   229 0.7794882 0.147653006  fv      Gamma      RP(P), Gamma    FALSE #> 3667   230 0.7046264 0.134302636  fv      Gamma      RP(P), Gamma    FALSE #> 3683   231 0.7995473 0.151758843  fv      Gamma      RP(P), Gamma    FALSE #> 3699   232 0.7343045 0.142360273  fv      Gamma      RP(P), Gamma    FALSE #> 3715   233 0.8751457 0.164490904  fv      Gamma      RP(P), Gamma    FALSE #> 3731   234 0.6297026 0.121422242  fv      Gamma      RP(P), Gamma    FALSE #> 3747   235 0.7447860 0.143473450  fv      Gamma      RP(P), Gamma    FALSE #> 3763   236 0.4983589 0.099237135  fv      Gamma      RP(P), Gamma    FALSE #> 3779   237 0.6746635 0.131114127  fv      Gamma      RP(P), Gamma    FALSE #> 3795   238 0.5865575 0.115419368  fv      Gamma      RP(P), Gamma    FALSE #> 3811   239 0.7115553 0.134845742  fv      Gamma      RP(P), Gamma    FALSE #> 3827   240 0.8624671 0.164706486  fv      Gamma      RP(P), Gamma    FALSE #> 3843   241 0.6575508 0.126415736  fv      Gamma      RP(P), Gamma    FALSE #> 3859   242 0.5155896 0.101988080  fv      Gamma      RP(P), Gamma    FALSE #> 3875   243 0.8672063 0.167331273  fv      Gamma      RP(P), Gamma    FALSE #> 3891   244 0.5652190 0.110299698  fv      Gamma      RP(P), Gamma    FALSE #> 3907   245 0.9099031 0.170615102  fv      Gamma      RP(P), Gamma    FALSE #> 3923   246 0.6715121 0.128245541  fv      Gamma      RP(P), Gamma    FALSE #> 3939   247 0.7666596 0.145481254  fv      Gamma      RP(P), Gamma    FALSE #> 3955   248 0.9441329 0.174552266  fv      Gamma      RP(P), Gamma    FALSE #> 3971   249 0.9565287 0.180161217  fv      Gamma      RP(P), Gamma    FALSE #> 3987   250 0.7319608 0.140182669  fv      Gamma      RP(P), Gamma    FALSE #> 4003   251 0.7972592 0.153143991  fv      Gamma      RP(P), Gamma    FALSE #> 4019   252 0.8050622 0.154700370  fv      Gamma      RP(P), Gamma    FALSE #> 4035   253 0.9078567 0.176560322  fv      Gamma      RP(P), Gamma    FALSE #> 4051   254 0.5209792 0.102295614  fv      Gamma      RP(P), Gamma    FALSE #> 4067   255 0.7747142 0.145325614  fv      Gamma      RP(P), Gamma    FALSE #> 4083   256 0.7249451 0.138771215  fv      Gamma      RP(P), Gamma    FALSE #> 4099   257 0.5361170 0.104550822  fv      Gamma      RP(P), Gamma    FALSE #> 4115   258 0.7026252 0.139222844  fv      Gamma      RP(P), Gamma    FALSE #> 4131   259 0.7429085 0.141357296  fv      Gamma      RP(P), Gamma    FALSE #> 4147   260        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 4163   261 0.4996380 0.098593653  fv      Gamma      RP(P), Gamma    FALSE #> 4179   262 0.7307282 0.140705499  fv      Gamma      RP(P), Gamma    FALSE #> 4195   263 0.6060010 0.118004035  fv      Gamma      RP(P), Gamma    FALSE #> 4211   264 0.5116451 0.100491965  fv      Gamma      RP(P), Gamma    FALSE #> 4227   265 0.5946271 0.114842799  fv      Gamma      RP(P), Gamma    FALSE #> 4243   266 0.6163830 0.118942533  fv      Gamma      RP(P), Gamma    FALSE #> 4259   267 0.7102904 0.136036062  fv      Gamma      RP(P), Gamma    FALSE #> 4275   268 0.7470312 0.141482234  fv      Gamma      RP(P), Gamma    FALSE #> 4291   269 1.0631565 0.199380875  fv      Gamma      RP(P), Gamma    FALSE #> 4307   270 0.9061584 0.174043080  fv      Gamma      RP(P), Gamma    FALSE #> 4323   271 0.8927398 0.167378590  fv      Gamma      RP(P), Gamma    FALSE #> 4339   272 0.5411831 0.106864266  fv      Gamma      RP(P), Gamma    FALSE #> 4355   273 0.6638746 0.128232822  fv      Gamma      RP(P), Gamma    FALSE #> 4371   274 0.7225398 0.137091182  fv      Gamma      RP(P), Gamma    FALSE #> 4387   275 0.8562018 0.159672512  fv      Gamma      RP(P), Gamma    FALSE #> 4403   276 0.8120395 0.156356817  fv      Gamma      RP(P), Gamma    FALSE #> 4419   277 0.6780585 0.129342060  fv      Gamma      RP(P), Gamma    FALSE #> 4435   278 0.7362699 0.139418618  fv      Gamma      RP(P), Gamma    FALSE #> 4451   279 0.7312040 0.138791432  fv      Gamma      RP(P), Gamma    FALSE #> 4467   280 0.7617472 0.144139706  fv      Gamma      RP(P), Gamma    FALSE #> 4483   281 1.0239004 0.192140750  fv      Gamma      RP(P), Gamma    FALSE #> 4499   282 0.6014472 0.116810971  fv      Gamma      RP(P), Gamma    FALSE #> 4515   283 0.8070494 0.156406698  fv      Gamma      RP(P), Gamma    FALSE #> 4531   284 0.6547454 0.125591638  fv      Gamma      RP(P), Gamma    FALSE #> 4547   285 0.5017963 0.099125117  fv      Gamma      RP(P), Gamma    FALSE #> 4563   286 0.7664404 0.145194703  fv      Gamma      RP(P), Gamma    FALSE #> 4579   287 0.6417145 0.124295516  fv      Gamma      RP(P), Gamma    FALSE #> 4595   288 1.2160035 0.222504503  fv      Gamma      RP(P), Gamma     TRUE #> 4611   289 0.6310461 0.122257396  fv      Gamma      RP(P), Gamma    FALSE #> 4627   290 0.5976140 0.116077104  fv      Gamma      RP(P), Gamma    FALSE #> 4643   291 0.6144723 0.119062165  fv      Gamma      RP(P), Gamma    FALSE #> 4659   292 0.6279208 0.121314205  fv      Gamma      RP(P), Gamma    FALSE #> 4675   293 0.8865261 0.166337950  fv      Gamma      RP(P), Gamma    FALSE #> 4691   294 0.6338803 0.122601043  fv      Gamma      RP(P), Gamma    FALSE #> 4707   295 1.0653819 0.195613485  fv      Gamma      RP(P), Gamma    FALSE #> 4723   296 0.7351061 0.140428978  fv      Gamma      RP(P), Gamma    FALSE #> 4739   297        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 4755   298 0.5714635 0.111383939  fv      Gamma      RP(P), Gamma    FALSE #> 4771   299 0.5687379 0.111502873  fv      Gamma      RP(P), Gamma    FALSE #> 4787   300 0.8507623 0.158735467  fv      Gamma      RP(P), Gamma    FALSE #> 4803   301 0.5324432 0.104591380  fv      Gamma      RP(P), Gamma    FALSE #> 4819   302 0.7542968 0.142000299  fv      Gamma      RP(P), Gamma    FALSE #> 4835   303 0.6702254 0.129544084  fv      Gamma      RP(P), Gamma    FALSE #> 4851   304 0.7359526 0.140947337  fv      Gamma      RP(P), Gamma    FALSE #> 4867   305 0.8686497 0.162388264  fv      Gamma      RP(P), Gamma    FALSE #> 4883   306 0.7459705 0.141847704  fv      Gamma      RP(P), Gamma    FALSE #> 4899   307 0.7645224 0.146818849  fv      Gamma      RP(P), Gamma    FALSE #> 4915   308 0.6534080 0.125521136  fv      Gamma      RP(P), Gamma    FALSE #> 4931   309 0.7355909 0.139210502  fv      Gamma      RP(P), Gamma    FALSE #> 4947   310        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 4963   311 0.8223787 0.154504491  fv      Gamma      RP(P), Gamma    FALSE #> 4979   312 1.1338355 0.215053067  fv      Gamma      RP(P), Gamma     TRUE #> 4995   313 0.7878946 0.148828816  fv      Gamma      RP(P), Gamma    FALSE #> 5011   314 0.6331384 0.122483624  fv      Gamma      RP(P), Gamma    FALSE #> 5027   315 0.7590237 0.143303796  fv      Gamma      RP(P), Gamma    FALSE #> 5043   316 1.0456069 0.192281909  fv      Gamma      RP(P), Gamma    FALSE #> 5059   317 0.6438263 0.124298460  fv      Gamma      RP(P), Gamma    FALSE #> 5075   318 0.8458746 0.163143415  fv      Gamma      RP(P), Gamma    FALSE #> 5091   319 0.6167836 0.119519907  fv      Gamma      RP(P), Gamma    FALSE #> 5107   320 0.6054894 0.117299351  fv      Gamma      RP(P), Gamma    FALSE #> 5123   321 0.8581595 0.161575543  fv      Gamma      RP(P), Gamma    FALSE #> 5139   322 0.5470126 0.107569123  fv      Gamma      RP(P), Gamma    FALSE #> 5155   323 0.8521730 0.159824438  fv      Gamma      RP(P), Gamma    FALSE #> 5171   324 0.6293737 0.123041276  fv      Gamma      RP(P), Gamma    FALSE #> 5187   325 0.7351303 0.139660930  fv      Gamma      RP(P), Gamma    FALSE #> 5203   326 0.7037406 0.134539252  fv      Gamma      RP(P), Gamma    FALSE #> 5219   327 0.7573005 0.143468222  fv      Gamma      RP(P), Gamma    FALSE #> 5235   328 1.0260740 0.191722687  fv      Gamma      RP(P), Gamma    FALSE #> 5251   329 0.8785208 0.166167340  fv      Gamma      RP(P), Gamma    FALSE #> 5267   330 0.6958925 0.133498433  fv      Gamma      RP(P), Gamma    FALSE #> 5283   331 0.8444511 0.157981839  fv      Gamma      RP(P), Gamma    FALSE #> 5299   332 0.5635456 0.111106954  fv      Gamma      RP(P), Gamma    FALSE #> 5315   333 0.5430382 0.106020576  fv      Gamma      RP(P), Gamma    FALSE #> 5331   334 0.9485748 0.174368602  fv      Gamma      RP(P), Gamma    FALSE #> 5347   335 0.7668800 0.145970993  fv      Gamma      RP(P), Gamma    FALSE #> 5363   336 0.4803202 0.096188584  fv      Gamma      RP(P), Gamma    FALSE #> 5379   337 0.6414976 0.124756829  fv      Gamma      RP(P), Gamma    FALSE #> 5395   338 0.6042093 0.116438825  fv      Gamma      RP(P), Gamma    FALSE #> 5411   339 0.8270540 0.156836453  fv      Gamma      RP(P), Gamma    FALSE #> 5427   340 0.7812948 0.153293387  fv      Gamma      RP(P), Gamma    FALSE #> 5443   341 0.5615693 0.109395593  fv      Gamma      RP(P), Gamma    FALSE #> 5459   342 0.4507156 0.089944670  fv      Gamma      RP(P), Gamma    FALSE #> 5475   343 0.6379126 0.123551359  fv      Gamma      RP(P), Gamma    FALSE #> 5491   344 0.9832700 0.184814008  fv      Gamma      RP(P), Gamma    FALSE #> 5507   345 0.8700732 0.163382934  fv      Gamma      RP(P), Gamma    FALSE #> 5523   346 0.7930586 0.148638590  fv      Gamma      RP(P), Gamma    FALSE #> 5539   347 0.7362875 0.139653656  fv      Gamma      RP(P), Gamma    FALSE #> 5555   348 0.9288355 0.172358490  fv      Gamma      RP(P), Gamma    FALSE #> 5571   349 0.8545774 0.160193152  fv      Gamma      RP(P), Gamma    FALSE #> 5587   350 0.8162435 0.153114319  fv      Gamma      RP(P), Gamma    FALSE #> 5603   351 0.8768429 0.168170983  fv      Gamma      RP(P), Gamma    FALSE #> 5619   352 0.7998651 0.154372925  fv      Gamma      RP(P), Gamma    FALSE #> 5635   353 0.5789433 0.113105924  fv      Gamma      RP(P), Gamma    FALSE #> 5651   354 0.7427434 0.141322244  fv      Gamma      RP(P), Gamma    FALSE #> 5667   355 0.8022031 0.150273181  fv      Gamma      RP(P), Gamma    FALSE #> 5683   356 0.8292656 0.158481791  fv      Gamma      RP(P), Gamma    FALSE #> 5699   357 0.6949861 0.132957253  fv      Gamma      RP(P), Gamma    FALSE #> 5715   358 0.6410077 0.122340318  fv      Gamma      RP(P), Gamma    FALSE #> 5731   359 0.6758443 0.133342092  fv      Gamma      RP(P), Gamma    FALSE #> 5747   360 0.6048735 0.117286870  fv      Gamma      RP(P), Gamma    FALSE #> 5763   361 0.9452275 0.179410146  fv      Gamma      RP(P), Gamma    FALSE #> 5779   362 0.4613285 0.091336265  fv      Gamma      RP(P), Gamma    FALSE #> 5795   363        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 5811   364 0.5305074 0.104571551  fv      Gamma      RP(P), Gamma    FALSE #> 5827   365 0.7692393 0.150826618  fv      Gamma      RP(P), Gamma    FALSE #> 5843   366 0.8281260 0.157369897  fv      Gamma      RP(P), Gamma    FALSE #> 5859   367 0.8879069 0.165562059  fv      Gamma      RP(P), Gamma    FALSE #> 5875   368 0.8819495 0.172077745  fv      Gamma      RP(P), Gamma    FALSE #> 5891   369 0.5571989 0.108663257  fv      Gamma      RP(P), Gamma    FALSE #> 5907   370 0.5240141 0.103230461  fv      Gamma      RP(P), Gamma    FALSE #> 5923   371 0.8850740 0.167914113  fv      Gamma      RP(P), Gamma    FALSE #> 5939   372 0.6292203 0.125493047  fv      Gamma      RP(P), Gamma    FALSE #> 5955   373 0.6711393 0.128355923  fv      Gamma      RP(P), Gamma    FALSE #> 5971   374 0.6330126 0.122222933  fv      Gamma      RP(P), Gamma    FALSE #> 5987   375 0.6232037 0.120619676  fv      Gamma      RP(P), Gamma    FALSE #> 6003   376 0.6709763 0.129346165  fv      Gamma      RP(P), Gamma    FALSE #> 6019   377 0.8081042 0.155740601  fv      Gamma      RP(P), Gamma    FALSE #> 6035   378 0.7807703 0.146835814  fv      Gamma      RP(P), Gamma    FALSE #> 6051   379 0.6489020 0.124780001  fv      Gamma      RP(P), Gamma    FALSE #> 6067   380 0.7690472 0.145653760  fv      Gamma      RP(P), Gamma    FALSE #> 6083   381 0.6655172 0.128470538  fv      Gamma      RP(P), Gamma    FALSE #> 6099   382 0.6834100 0.131022145  fv      Gamma      RP(P), Gamma    FALSE #> 6115   383 1.0199434 0.186627092  fv      Gamma      RP(P), Gamma    FALSE #> 6131   384 0.8425240 0.158501752  fv      Gamma      RP(P), Gamma    FALSE #> 6147   385 0.5435103 0.106298014  fv      Gamma      RP(P), Gamma    FALSE #> 6163   386 0.3974050 0.081499042  fv      Gamma      RP(P), Gamma    FALSE #> 6179   387 0.5426046 0.105687478  fv      Gamma      RP(P), Gamma    FALSE #> 6195   388 0.6611317 0.126806617  fv      Gamma      RP(P), Gamma    FALSE #> 6211   389 0.5349625 0.105162575  fv      Gamma      RP(P), Gamma    FALSE #> 6227   390 0.6059506 0.117577612  fv      Gamma      RP(P), Gamma    FALSE #> 6243   391 0.5031306 0.099223928  fv      Gamma      RP(P), Gamma    FALSE #> 6259   392 0.9247264 0.171447639  fv      Gamma      RP(P), Gamma    FALSE #> 6275   393 0.5799003 0.113309467  fv      Gamma      RP(P), Gamma    FALSE #> 6291   394 0.8923633 0.167756406  fv      Gamma      RP(P), Gamma    FALSE #> 6307   395 0.7025183 0.135296087  fv      Gamma      RP(P), Gamma    FALSE #> 6323   396 0.7120067 0.139386238  fv      Gamma      RP(P), Gamma    FALSE #> 6339   397 0.8245329 0.154169882  fv      Gamma      RP(P), Gamma    FALSE #> 6355   398 0.7714605 0.146465081  fv      Gamma      RP(P), Gamma    FALSE #> 6371   399 0.6201603 0.120225120  fv      Gamma      RP(P), Gamma    FALSE #> 6387   400 0.6674704 0.128448157  fv      Gamma      RP(P), Gamma    FALSE #> 6403   401 0.8591833 0.163558247  fv      Gamma      RP(P), Gamma    FALSE #> 6419   402 0.7237335 0.141496085  fv      Gamma      RP(P), Gamma    FALSE #> 6435   403 0.6842458 0.130528240  fv      Gamma      RP(P), Gamma    FALSE #> 6451   404 0.8914124 0.170001726  fv      Gamma      RP(P), Gamma    FALSE #> 6467   405 0.6372709 0.122209769  fv      Gamma      RP(P), Gamma    FALSE #> 6483   406 0.6333429 0.122577106  fv      Gamma      RP(P), Gamma    FALSE #> 6499   407 0.7540527 0.143640882  fv      Gamma      RP(P), Gamma    FALSE #> 6515   408 0.4838950 0.100461103  fv      Gamma      RP(P), Gamma    FALSE #> 6531   409 0.9146888 0.169439375  fv      Gamma      RP(P), Gamma    FALSE #> 6547   410 0.9330222 0.176834198  fv      Gamma      RP(P), Gamma    FALSE #> 6563   411 0.7883049 0.155697900  fv      Gamma      RP(P), Gamma    FALSE #> 6579   412 0.6774845 0.129576379  fv      Gamma      RP(P), Gamma    FALSE #> 6595   413 0.7116535 0.136948608  fv      Gamma      RP(P), Gamma    FALSE #> 6611   414 0.7132797 0.136232402  fv      Gamma      RP(P), Gamma    FALSE #> 6627   415 0.8286193 0.154693246  fv      Gamma      RP(P), Gamma    FALSE #> 6643   416 0.6156083 0.119284639  fv      Gamma      RP(P), Gamma    FALSE #> 6659   417 0.7087812 0.135096167  fv      Gamma      RP(P), Gamma    FALSE #> 6675   418 0.7293437 0.138932311  fv      Gamma      RP(P), Gamma    FALSE #> 6691   419 0.5997472 0.117475840  fv      Gamma      RP(P), Gamma    FALSE #> 6707   420 0.7993144 0.153914851  fv      Gamma      RP(P), Gamma    FALSE #> 6723   421 0.7797894 0.147239639  fv      Gamma      RP(P), Gamma    FALSE #> 6739   422 0.7196492 0.137084047  fv      Gamma      RP(P), Gamma    FALSE #> 6755   423 0.7782277 0.146884783  fv      Gamma      RP(P), Gamma    FALSE #> 6771   424 0.6735367 0.130483600  fv      Gamma      RP(P), Gamma    FALSE #> 6787   425 0.5438044 0.106872272  fv      Gamma      RP(P), Gamma    FALSE #> 6803   426 0.9765959 0.180951859  fv      Gamma      RP(P), Gamma    FALSE #> 6819   427 0.4342931 0.087816670  fv      Gamma      RP(P), Gamma    FALSE #> 6835   428        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 6851   429 0.6326812 0.122272867  fv      Gamma      RP(P), Gamma    FALSE #> 6867   430 0.5864832 0.114045582  fv      Gamma      RP(P), Gamma    FALSE #> 6883   431 0.8330418 0.156297552  fv      Gamma      RP(P), Gamma    FALSE #> 6899   432 0.5660420 0.111497263  fv      Gamma      RP(P), Gamma    FALSE #> 6915   433 0.7633897 0.146680676  fv      Gamma      RP(P), Gamma    FALSE #> 6931   434 0.9157854 0.169179334  fv      Gamma      RP(P), Gamma    FALSE #> 6947   435 0.6436417 0.123386611  fv      Gamma      RP(P), Gamma    FALSE #> 6963   436 0.8894330 0.168215631  fv      Gamma      RP(P), Gamma    FALSE #> 6979   437 0.6466005 0.124257627  fv      Gamma      RP(P), Gamma    FALSE #> 6995   438 0.4983309 0.099003740  fv      Gamma      RP(P), Gamma    FALSE #> 7011   439 0.6788690 0.131122725  fv      Gamma      RP(P), Gamma    FALSE #> 7027   440 0.6840970 0.130674970  fv      Gamma      RP(P), Gamma    FALSE #> 7043   441 0.4509432 0.090190377  fv      Gamma      RP(P), Gamma    FALSE #> 7059   442 0.8197896 0.153466848  fv      Gamma      RP(P), Gamma    FALSE #> 7075   443 0.4883504 0.097806334  fv      Gamma      RP(P), Gamma    FALSE #> 7091   444 0.6309643 0.121865041  fv      Gamma      RP(P), Gamma    FALSE #> 7107   445 0.8964975 0.172918156  fv      Gamma      RP(P), Gamma    FALSE #> 7123   446 0.7383350 0.140046750  fv      Gamma      RP(P), Gamma    FALSE #> 7139   447 0.7068869 0.134798962  fv      Gamma      RP(P), Gamma    FALSE #> 7155   448 0.7623019 0.144996154  fv      Gamma      RP(P), Gamma    FALSE #> 7171   449 0.8202607 0.153262713  fv      Gamma      RP(P), Gamma    FALSE #> 7187   450 0.6652518 0.127192030  fv      Gamma      RP(P), Gamma    FALSE #> 7203   451 0.7929428 0.149414357  fv      Gamma      RP(P), Gamma    FALSE #> 7219   452 0.5390468 0.106252035  fv      Gamma      RP(P), Gamma    FALSE #> 7235   453 0.7983611 0.149574089  fv      Gamma      RP(P), Gamma    FALSE #> 7251   454 0.6809155 0.133855974  fv      Gamma      RP(P), Gamma    FALSE #> 7267   455 0.7867915 0.148808687  fv      Gamma      RP(P), Gamma    FALSE #> 7283   456 0.8027674 0.151115965  fv      Gamma      RP(P), Gamma    FALSE #> 7299   457 0.7599211 0.143934714  fv      Gamma      RP(P), Gamma    FALSE #> 7315   458 0.8392784 0.158497506  fv      Gamma      RP(P), Gamma    FALSE #> 7331   459 0.6859136 0.132185682  fv      Gamma      RP(P), Gamma    FALSE #> 7347   460 0.5989569 0.116734400  fv      Gamma      RP(P), Gamma    FALSE #> 7363   461 0.7104775 0.136171002  fv      Gamma      RP(P), Gamma    FALSE #> 7379   462 0.9353550 0.176644991  fv      Gamma      RP(P), Gamma    FALSE #> 7395   463 0.5917203 0.113971563  fv      Gamma      RP(P), Gamma    FALSE #> 7411   464 0.5466129 0.108141319  fv      Gamma      RP(P), Gamma    FALSE #> 7427   465 0.6924133 0.132057038  fv      Gamma      RP(P), Gamma    FALSE #> 7443   466 0.8595890 0.164380309  fv      Gamma      RP(P), Gamma    FALSE #> 7459   467 0.8621341 0.162880467  fv      Gamma      RP(P), Gamma    FALSE #> 7475   468 0.5844938 0.113603790  fv      Gamma      RP(P), Gamma    FALSE #> 7491   469 0.7748601 0.149549630  fv      Gamma      RP(P), Gamma    FALSE #> 7507   470 0.7885976 0.148029828  fv      Gamma      RP(P), Gamma    FALSE #> 7523   471 0.6020256 0.116789527  fv      Gamma      RP(P), Gamma    FALSE #> 7539   472 0.7796100 0.146855855  fv      Gamma      RP(P), Gamma    FALSE #> 7555   473 0.6785752 0.130008471  fv      Gamma      RP(P), Gamma    FALSE #> 7571   474 0.6250698 0.122879162  fv      Gamma      RP(P), Gamma    FALSE #> 7587   475 1.1078072 0.208724589  fv      Gamma      RP(P), Gamma     TRUE #> 7603   476 0.5563729 0.109196239  fv      Gamma      RP(P), Gamma    FALSE #> 7619   477 0.8587266 0.160352193  fv      Gamma      RP(P), Gamma    FALSE #> 7635   478 0.6830960 0.131457533  fv      Gamma      RP(P), Gamma    FALSE #> 7651   479 0.8681593 0.162333605  fv      Gamma      RP(P), Gamma    FALSE #> 7667   480 0.7574428 0.144816517  fv      Gamma      RP(P), Gamma    FALSE #> 7683   481        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 7699   482 0.6266013 0.124370257  fv      Gamma      RP(P), Gamma    FALSE #> 7715   483 0.6528467 0.127306631  fv      Gamma      RP(P), Gamma    FALSE #> 7731   484 0.7127943 0.134930802  fv      Gamma      RP(P), Gamma    FALSE #> 7747   485 0.7125054 0.135276927  fv      Gamma      RP(P), Gamma    FALSE #> 7763   486 0.5687850 0.111413020  fv      Gamma      RP(P), Gamma    FALSE #> 7779   487 0.8243935 0.154600910  fv      Gamma      RP(P), Gamma    FALSE #> 7795   488 0.6812360 0.132703870  fv      Gamma      RP(P), Gamma    FALSE #> 7811   489 0.8845371 0.169323636  fv      Gamma      RP(P), Gamma    FALSE #> 7827   490 1.0653722 0.194660353  fv      Gamma      RP(P), Gamma    FALSE #> 7843   491 0.6826541 0.130776905  fv      Gamma      RP(P), Gamma    FALSE #> 7859   492 0.8235202 0.155848858  fv      Gamma      RP(P), Gamma    FALSE #> 7875   493 0.7768356 0.151524876  fv      Gamma      RP(P), Gamma    FALSE #> 7891   494 0.7218053 0.137841570  fv      Gamma      RP(P), Gamma    FALSE #> 7907   495 0.7695705 0.146521336  fv      Gamma      RP(P), Gamma    FALSE #> 7923   496 0.5166882 0.102399021  fv      Gamma      RP(P), Gamma    FALSE #> 7939   497 0.6627873 0.126766292  fv      Gamma      RP(P), Gamma    FALSE #> 7955   498 0.6342445 0.122728374  fv      Gamma      RP(P), Gamma    FALSE #> 7971   499 0.9374378 0.175338174  fv      Gamma      RP(P), Gamma    FALSE #> 7987   500 0.9019653 0.170409658  fv      Gamma      RP(P), Gamma    FALSE #> 8003   501 0.6962305 0.132980257  fv      Gamma      RP(P), Gamma    FALSE #> 8019   502 0.7603688 0.144250280  fv      Gamma      RP(P), Gamma    FALSE #> 8035   503 0.6803697 0.130734079  fv      Gamma      RP(P), Gamma    FALSE #> 8051   504 0.8753725 0.162673418  fv      Gamma      RP(P), Gamma    FALSE #> 8067   505 0.9260534 0.173473955  fv      Gamma      RP(P), Gamma    FALSE #> 8083   506 0.6660089 0.127478067  fv      Gamma      RP(P), Gamma    FALSE #> 8099   507 0.6217409 0.120696018  fv      Gamma      RP(P), Gamma    FALSE #> 8115   508 0.6657625 0.127882730  fv      Gamma      RP(P), Gamma    FALSE #> 8131   509 0.7035885 0.134122091  fv      Gamma      RP(P), Gamma    FALSE #> 8147   510 0.9153649 0.169975579  fv      Gamma      RP(P), Gamma    FALSE #> 8163   511 0.7435226 0.141999828  fv      Gamma      RP(P), Gamma    FALSE #> 8179   512 0.8092206 0.152504675  fv      Gamma      RP(P), Gamma    FALSE #> 8195   513 0.5970830 0.116342118  fv      Gamma      RP(P), Gamma    FALSE #> 8211   514 0.6584162 0.127259558  fv      Gamma      RP(P), Gamma    FALSE #> 8227   515 0.6218205 0.120288402  fv      Gamma      RP(P), Gamma    FALSE #> 8243   516 0.7564849 0.144835314  fv      Gamma      RP(P), Gamma    FALSE #> 8259   517 0.7866480 0.148609375  fv      Gamma      RP(P), Gamma    FALSE #> 8275   518 0.8554770 0.159037294  fv      Gamma      RP(P), Gamma    FALSE #> 8291   519 0.7052320 0.134728823  fv      Gamma      RP(P), Gamma    FALSE #> 8307   520 0.6204574 0.120158025  fv      Gamma      RP(P), Gamma    FALSE #> 8323   521 0.5621929 0.109422753  fv      Gamma      RP(P), Gamma    FALSE #> 8339   522 0.5443101 0.106427943  fv      Gamma      RP(P), Gamma    FALSE #> 8355   523 0.6711061 0.129798304  fv      Gamma      RP(P), Gamma    FALSE #> 8371   524 0.6038576 0.117617477  fv      Gamma      RP(P), Gamma    FALSE #> 8387   525 1.0537419 0.193004302  fv      Gamma      RP(P), Gamma    FALSE #> 8403   526 0.7616132 0.144330441  fv      Gamma      RP(P), Gamma    FALSE #> 8419   527 0.6897576 0.133491604  fv      Gamma      RP(P), Gamma    FALSE #> 8435   528 0.6067378 0.118097165  fv      Gamma      RP(P), Gamma    FALSE #> 8451   529 0.8534833 0.160118465  fv      Gamma      RP(P), Gamma    FALSE #> 8467   530 0.8925411 0.166714870  fv      Gamma      RP(P), Gamma    FALSE #> 8483   531 0.7934168 0.148589902  fv      Gamma      RP(P), Gamma    FALSE #> 8499   532 0.7905062 0.149455790  fv      Gamma      RP(P), Gamma    FALSE #> 8515   533 0.7295545 0.139010779  fv      Gamma      RP(P), Gamma    FALSE #> 8531   534 0.7802222 0.146683135  fv      Gamma      RP(P), Gamma    FALSE #> 8547   535 0.9550213 0.176657581  fv      Gamma      RP(P), Gamma    FALSE #> 8563   536 0.8285902 0.154754825  fv      Gamma      RP(P), Gamma    FALSE #> 8579   537 0.7142590 0.139710304  fv      Gamma      RP(P), Gamma    FALSE #> 8595   538 0.6242860 0.121665242  fv      Gamma      RP(P), Gamma    FALSE #> 8611   539 0.8641128 0.161545364  fv      Gamma      RP(P), Gamma    FALSE #> 8627   540 0.7678492 0.149811233  fv      Gamma      RP(P), Gamma    FALSE #> 8643   541 0.6289813 0.122609687  fv      Gamma      RP(P), Gamma    FALSE #> 8659   542 0.8359050 0.157109048  fv      Gamma      RP(P), Gamma    FALSE #> 8675   543 0.9027601 0.167995185  fv      Gamma      RP(P), Gamma    FALSE #> 8691   544 0.8244925 0.154618216  fv      Gamma      RP(P), Gamma    FALSE #> 8707   545 0.6980857 0.134268057  fv      Gamma      RP(P), Gamma    FALSE #> 8723   546 0.6933300 0.133073387  fv      Gamma      RP(P), Gamma    FALSE #> 8739   547        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 8755   548 0.6333770 0.125231052  fv      Gamma      RP(P), Gamma    FALSE #> 8771   549 0.8023245 0.153987219  fv      Gamma      RP(P), Gamma    FALSE #> 8787   550 0.8868958 0.173752332  fv      Gamma      RP(P), Gamma    FALSE #> 8803   551 0.7222047 0.137638041  fv      Gamma      RP(P), Gamma    FALSE #> 8819   552 0.5671938 0.111950384  fv      Gamma      RP(P), Gamma    FALSE #> 8835   553 0.5909826 0.115431956  fv      Gamma      RP(P), Gamma    FALSE #> 8851   554 0.6819668 0.131463459  fv      Gamma      RP(P), Gamma    FALSE #> 8867   555 0.5949893 0.116327674  fv      Gamma      RP(P), Gamma    FALSE #> 8883   556 0.5424623 0.106665952  fv      Gamma      RP(P), Gamma    FALSE #> 8899   557 1.1345537 0.209862447  fv      Gamma      RP(P), Gamma     TRUE #> 8915   558 0.8058485 0.152388030  fv      Gamma      RP(P), Gamma    FALSE #> 8931   559 0.6173724 0.122782335  fv      Gamma      RP(P), Gamma    FALSE #> 8947   560 0.7512495 0.143599104  fv      Gamma      RP(P), Gamma    FALSE #> 8963   561 0.7585141 0.143155705  fv      Gamma      RP(P), Gamma    FALSE #> 8979   562 0.4484573 0.089532416  fv      Gamma      RP(P), Gamma    FALSE #> 8995   563 0.7698720 0.146396748  fv      Gamma      RP(P), Gamma    FALSE #> 9011   564 0.7607873 0.143322348  fv      Gamma      RP(P), Gamma    FALSE #> 9027   565 0.8222472 0.159236501  fv      Gamma      RP(P), Gamma    FALSE #> 9043   566 0.8548495 0.160429756  fv      Gamma      RP(P), Gamma    FALSE #> 9059   567 0.7245818 0.138376691  fv      Gamma      RP(P), Gamma    FALSE #> 9075   568 0.7931173 0.152597975  fv      Gamma      RP(P), Gamma    FALSE #> 9091   569 0.6850610 0.133116653  fv      Gamma      RP(P), Gamma    FALSE #> 9107   570        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 9123   571 0.7549228 0.142914728  fv      Gamma      RP(P), Gamma    FALSE #> 9139   572 0.8278657 0.154426950  fv      Gamma      RP(P), Gamma    FALSE #> 9155   573 0.5344300 0.105884223  fv      Gamma      RP(P), Gamma    FALSE #> 9171   574 0.8527038 0.162694626  fv      Gamma      RP(P), Gamma    FALSE #> 9187   575 0.7057682 0.134947723  fv      Gamma      RP(P), Gamma    FALSE #> 9203   576 0.7448504 0.142986350  fv      Gamma      RP(P), Gamma    FALSE #> 9219   577 0.6324739 0.122708071  fv      Gamma      RP(P), Gamma    FALSE #> 9235   578 0.6535771 0.125371078  fv      Gamma      RP(P), Gamma    FALSE #> 9251   579 0.6463148 0.124602683  fv      Gamma      RP(P), Gamma    FALSE #> 9267   580 0.6122098 0.118229398  fv      Gamma      RP(P), Gamma    FALSE #> 9283   581 0.8581943 0.160096945  fv      Gamma      RP(P), Gamma    FALSE #> 9299   582 0.4255333 0.084857238  fv      Gamma      RP(P), Gamma    FALSE #> 9315   583 0.7830994 0.147615332  fv      Gamma      RP(P), Gamma    FALSE #> 9331   584 0.6297757 0.122421778  fv      Gamma      RP(P), Gamma    FALSE #> 9347   585 1.1118116 0.202600547  fv      Gamma      RP(P), Gamma     TRUE #> 9363   586        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 9379   587 0.7835051 0.147939858  fv      Gamma      RP(P), Gamma    FALSE #> 9395   588 0.7974640 0.152143429  fv      Gamma      RP(P), Gamma    FALSE #> 9411   589 0.5862546 0.114190230  fv      Gamma      RP(P), Gamma    FALSE #> 9427   590 0.6735269 0.129506738  fv      Gamma      RP(P), Gamma    FALSE #> 9443   591 0.7163856 0.137360805  fv      Gamma      RP(P), Gamma    FALSE #> 9459   592 0.8887836 0.165763416  fv      Gamma      RP(P), Gamma    FALSE #> 9475   593 0.6961761 0.136894275  fv      Gamma      RP(P), Gamma    FALSE #> 9491   594 0.7225011 0.139237787  fv      Gamma      RP(P), Gamma    FALSE #> 9507   595 0.7110869 0.135311991  fv      Gamma      RP(P), Gamma    FALSE #> 9523   596 0.8419027 0.157392494  fv      Gamma      RP(P), Gamma    FALSE #> 9539   597 0.9726863 0.183877561  fv      Gamma      RP(P), Gamma    FALSE #> 9555   598 0.7321676 0.138931246  fv      Gamma      RP(P), Gamma    FALSE #> 9571   599 1.0933409 0.198947458  fv      Gamma      RP(P), Gamma    FALSE #> 9587   600 0.9365142 0.172756965  fv      Gamma      RP(P), Gamma    FALSE #> 9603   601 0.6900339 0.131971647  fv      Gamma      RP(P), Gamma    FALSE #> 9619   602 0.8071034 0.154541397  fv      Gamma      RP(P), Gamma    FALSE #> 9635   603 0.6864634 0.131149003  fv      Gamma      RP(P), Gamma    FALSE #> 9651   604 0.8388411 0.164957900  fv      Gamma      RP(P), Gamma    FALSE #> 9667   605 0.8991808 0.170856264  fv      Gamma      RP(P), Gamma    FALSE #> 9683   606 0.7896722 0.149157106  fv      Gamma      RP(P), Gamma    FALSE #> 9699   607 0.6483373 0.125688013  fv      Gamma      RP(P), Gamma    FALSE #> 9715   608 0.8165667 0.153820340  fv      Gamma      RP(P), Gamma    FALSE #> 9731   609 0.8902387 0.166429149  fv      Gamma      RP(P), Gamma    FALSE #> 9747   610 0.7933518 0.149471334  fv      Gamma      RP(P), Gamma    FALSE #> 9763   611 0.6512893 0.125696501  fv      Gamma      RP(P), Gamma    FALSE #> 9779   612 0.8855873 0.165210328  fv      Gamma      RP(P), Gamma    FALSE #> 9795   613 0.7551929 0.143131416  fv      Gamma      RP(P), Gamma    FALSE #> 9811   614 0.7010086 0.134204870  fv      Gamma      RP(P), Gamma    FALSE #> 9827   615 0.6334929 0.122282301  fv      Gamma      RP(P), Gamma    FALSE #> 9843   616        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 9859   617 0.9807549 0.184785018  fv      Gamma      RP(P), Gamma    FALSE #> 9875   618 0.5779344 0.112517396  fv      Gamma      RP(P), Gamma    FALSE #> 9891   619 0.6355496 0.122741929  fv      Gamma      RP(P), Gamma    FALSE #> 9907   620 0.6841379 0.131439881  fv      Gamma      RP(P), Gamma    FALSE #> 9923   621 0.7994067 0.150798986  fv      Gamma      RP(P), Gamma    FALSE #> 9939   622 1.1226630 0.204596360  fv      Gamma      RP(P), Gamma     TRUE #> 9955   623 0.5592545 0.109014752  fv      Gamma      RP(P), Gamma    FALSE #> 9971   624 0.7146248 0.135617788  fv      Gamma      RP(P), Gamma    FALSE #> 9987   625 0.6678007 0.128544119  fv      Gamma      RP(P), Gamma    FALSE #> 10003  626 0.5438265 0.107223540  fv      Gamma      RP(P), Gamma    FALSE #> 10019  627 0.6402631 0.127929319  fv      Gamma      RP(P), Gamma    FALSE #> 10035  628 0.7161136 0.135821754  fv      Gamma      RP(P), Gamma    FALSE #> 10051  629 0.5761695 0.113413852  fv      Gamma      RP(P), Gamma    FALSE #> 10067  630 0.9265988 0.172078476  fv      Gamma      RP(P), Gamma    FALSE #> 10083  631 0.8463990 0.163840387  fv      Gamma      RP(P), Gamma    FALSE #> 10099  632 0.5918212 0.115253393  fv      Gamma      RP(P), Gamma    FALSE #> 10115  633 0.5392676 0.105659170  fv      Gamma      RP(P), Gamma    FALSE #> 10131  634 0.5612710 0.109666236  fv      Gamma      RP(P), Gamma    FALSE #> 10147  635 0.4758954 0.095277949  fv      Gamma      RP(P), Gamma    FALSE #> 10163  636 0.6850059 0.132963753  fv      Gamma      RP(P), Gamma    FALSE #> 10179  637 0.7534974 0.142630643  fv      Gamma      RP(P), Gamma    FALSE #> 10195  638 0.6156667 0.122944131  fv      Gamma      RP(P), Gamma    FALSE #> 10211  639 0.7024871 0.133973160  fv      Gamma      RP(P), Gamma    FALSE #> 10227  640 0.6138612 0.120005152  fv      Gamma      RP(P), Gamma    FALSE #> 10243  641 0.6687009 0.127792012  fv      Gamma      RP(P), Gamma    FALSE #> 10259  642 0.6827599 0.131499855  fv      Gamma      RP(P), Gamma    FALSE #> 10275  643 0.6416117 0.123916292  fv      Gamma      RP(P), Gamma    FALSE #> 10291  644 0.9303135 0.178541883  fv      Gamma      RP(P), Gamma    FALSE #> 10307  645 0.5072111 0.099892269  fv      Gamma      RP(P), Gamma    FALSE #> 10323  646 0.5770236 0.112923822  fv      Gamma      RP(P), Gamma    FALSE #> 10339  647 1.0987860 0.202063919  fv      Gamma      RP(P), Gamma     TRUE #> 10355  648 0.7249466 0.137273492  fv      Gamma      RP(P), Gamma    FALSE #> 10371  649 0.8361975 0.156905913  fv      Gamma      RP(P), Gamma    FALSE #> 10387  650 0.9657631 0.179386120  fv      Gamma      RP(P), Gamma    FALSE #> 10403  651 0.9480153 0.175508178  fv      Gamma      RP(P), Gamma    FALSE #> 10419  652 0.7609753 0.144403263  fv      Gamma      RP(P), Gamma    FALSE #> 10435  653 0.9390345 0.178175424  fv      Gamma      RP(P), Gamma    FALSE #> 10451  654 0.6071795 0.117910755  fv      Gamma      RP(P), Gamma    FALSE #> 10467  655 0.6768799 0.129452910  fv      Gamma      RP(P), Gamma    FALSE #> 10483  656 0.7872342 0.148934201  fv      Gamma      RP(P), Gamma    FALSE #> 10499  657 0.7155506 0.136779245  fv      Gamma      RP(P), Gamma    FALSE #> 10515  658 0.8186467 0.154783223  fv      Gamma      RP(P), Gamma    FALSE #> 10531  659 0.8561195 0.161384412  fv      Gamma      RP(P), Gamma    FALSE #> 10547  660 0.7969361 0.153486464  fv      Gamma      RP(P), Gamma    FALSE #> 10563  661 0.5847750 0.113459778  fv      Gamma      RP(P), Gamma    FALSE #> 10579  662 0.4491533 0.089376759  fv      Gamma      RP(P), Gamma    FALSE #> 10595  663 0.6583715 0.127150411  fv      Gamma      RP(P), Gamma    FALSE #> 10611  664 0.7245792 0.137191115  fv      Gamma      RP(P), Gamma    FALSE #> 10627  665 0.6935069 0.133446603  fv      Gamma      RP(P), Gamma    FALSE #> 10643  666 0.6789625 0.133210260  fv      Gamma      RP(P), Gamma    FALSE #> 10659  667        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 10675  668 0.8326042 0.159460222  fv      Gamma      RP(P), Gamma    FALSE #> 10691  669 0.5423378 0.106498804  fv      Gamma      RP(P), Gamma    FALSE #> 10707  670 0.8502685 0.162585636  fv      Gamma      RP(P), Gamma    FALSE #> 10723  671 0.8776545 0.164067176  fv      Gamma      RP(P), Gamma    FALSE #> 10739  672 0.6152927 0.119051797  fv      Gamma      RP(P), Gamma    FALSE #> 10755  673 0.6122459 0.117726094  fv      Gamma      RP(P), Gamma    FALSE #> 10771  674 0.9559380 0.181254051  fv      Gamma      RP(P), Gamma    FALSE #> 10787  675 0.6980390 0.132753824  fv      Gamma      RP(P), Gamma    FALSE #> 10803  676 0.5088804 0.102994006  fv      Gamma      RP(P), Gamma    FALSE #> 10819  677 0.6339165 0.121646475  fv      Gamma      RP(P), Gamma    FALSE #> 10835  678 0.8369559 0.157675553  fv      Gamma      RP(P), Gamma    FALSE #> 10851  679 0.9492848 0.176109260  fv      Gamma      RP(P), Gamma    FALSE #> 10867  680 0.6841460 0.135356905  fv      Gamma      RP(P), Gamma    FALSE #> 10883  681 0.5654321 0.110524762  fv      Gamma      RP(P), Gamma    FALSE #> 10899  682 0.7617394 0.144044913  fv      Gamma      RP(P), Gamma    FALSE #> 10915  683 0.8624482 0.164333849  fv      Gamma      RP(P), Gamma    FALSE #> 10931  684 0.9321014 0.172684748  fv      Gamma      RP(P), Gamma    FALSE #> 10947  685 0.6441355 0.123847642  fv      Gamma      RP(P), Gamma    FALSE #> 10963  686 0.5512106 0.108266248  fv      Gamma      RP(P), Gamma    FALSE #> 10979  687        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 10995  688 0.7248728 0.137856421  fv      Gamma      RP(P), Gamma    FALSE #> 11011  689 0.7052454 0.134429054  fv      Gamma      RP(P), Gamma    FALSE #> 11027  690        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11043  691        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11059  692 0.7287757 0.137960478  fv      Gamma      RP(P), Gamma    FALSE #> 11075  693 0.8591672 0.163147539  fv      Gamma      RP(P), Gamma    FALSE #> 11091  694 0.8546217 0.161886212  fv      Gamma      RP(P), Gamma    FALSE #> 11107  695 0.7359517 0.143204482  fv      Gamma      RP(P), Gamma    FALSE #> 11123  696 0.7274184 0.140975651  fv      Gamma      RP(P), Gamma    FALSE #> 11139  697 0.7343352 0.139432429  fv      Gamma      RP(P), Gamma    FALSE #> 11155  698 0.7107206 0.135622115  fv      Gamma      RP(P), Gamma    FALSE #> 11171  699 0.7219693 0.136624664  fv      Gamma      RP(P), Gamma    FALSE #> 11187  700        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11203  701 0.6390749 0.122901167  fv      Gamma      RP(P), Gamma    FALSE #> 11219  702 0.7207084 0.141765393  fv      Gamma      RP(P), Gamma    FALSE #> 11235  703 0.5731972 0.112301241  fv      Gamma      RP(P), Gamma    FALSE #> 11251  704 0.9050465 0.167387536  fv      Gamma      RP(P), Gamma    FALSE #> 11267  705 0.9729034 0.179704350  fv      Gamma      RP(P), Gamma    FALSE #> 11283  706 0.7510740 0.142142712  fv      Gamma      RP(P), Gamma    FALSE #> 11299  707 0.5762848 0.113425276  fv      Gamma      RP(P), Gamma    FALSE #> 11315  708 0.8182433 0.157478515  fv      Gamma      RP(P), Gamma    FALSE #> 11331  709 0.7488299 0.141777904  fv      Gamma      RP(P), Gamma    FALSE #> 11347  710 0.7464753 0.140839219  fv      Gamma      RP(P), Gamma    FALSE #> 11363  711 0.3895724 0.079456850  fv      Gamma      RP(P), Gamma    FALSE #> 11379  712 0.7226782 0.137898089  fv      Gamma      RP(P), Gamma    FALSE #> 11395  713 0.7579136 0.142711103  fv      Gamma      RP(P), Gamma    FALSE #> 11411  714 0.8613708 0.165279895  fv      Gamma      RP(P), Gamma    FALSE #> 11427  715 0.9499191 0.176494223  fv      Gamma      RP(P), Gamma    FALSE #> 11443  716 0.8153731 0.154756057  fv      Gamma      RP(P), Gamma    FALSE #> 11459  717 0.6266283 0.125506065  fv      Gamma      RP(P), Gamma    FALSE #> 11475  718        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11491  719 0.6487120 0.124374007  fv      Gamma      RP(P), Gamma    FALSE #> 11507  720 0.6467946 0.124681595  fv      Gamma      RP(P), Gamma    FALSE #> 11523  721 0.8677451 0.163658213  fv      Gamma      RP(P), Gamma    FALSE #> 11539  722 0.8762603 0.164114507  fv      Gamma      RP(P), Gamma    FALSE #> 11555  723 0.7702204 0.149232323  fv      Gamma      RP(P), Gamma    FALSE #> 11571  724        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11587  725 0.6452807 0.123798465  fv      Gamma      RP(P), Gamma    FALSE #> 11603  726 0.6388286 0.124187802  fv      Gamma      RP(P), Gamma    FALSE #> 11619  727 0.8294437 0.158131813  fv      Gamma      RP(P), Gamma    FALSE #> 11635  728 0.5498798 0.110995415  fv      Gamma      RP(P), Gamma    FALSE #> 11651  729 0.7956737 0.149669575  fv      Gamma      RP(P), Gamma    FALSE #> 11667  730 0.9039416 0.172983881  fv      Gamma      RP(P), Gamma    FALSE #> 11683  731 0.9129412 0.170480535  fv      Gamma      RP(P), Gamma    FALSE #> 11699  732 0.8631376 0.160142721  fv      Gamma      RP(P), Gamma    FALSE #> 11715  733 0.5700636 0.111318610  fv      Gamma      RP(P), Gamma    FALSE #> 11731  734 0.5720887 0.111838652  fv      Gamma      RP(P), Gamma    FALSE #> 11747  735 0.7865514 0.148067100  fv      Gamma      RP(P), Gamma    FALSE #> 11763  736 0.8314412 0.159749066  fv      Gamma      RP(P), Gamma    FALSE #> 11779  737 0.7051831 0.134332472  fv      Gamma      RP(P), Gamma    FALSE #> 11795  738 0.6441563 0.129738565  fv      Gamma      RP(P), Gamma    FALSE #> 11811  739 0.6962830 0.133154711  fv      Gamma      RP(P), Gamma    FALSE #> 11827  740 0.6820458 0.130662984  fv      Gamma      RP(P), Gamma    FALSE #> 11843  741        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11859  742 0.6129049 0.118716275  fv      Gamma      RP(P), Gamma    FALSE #> 11875  743 0.7773048 0.146924665  fv      Gamma      RP(P), Gamma    FALSE #> 11891  744 1.0015653 0.188279252  fv      Gamma      RP(P), Gamma    FALSE #> 11907  745 0.6374989 0.124833327  fv      Gamma      RP(P), Gamma    FALSE #> 11923  746 0.4555035 0.091061162  fv      Gamma      RP(P), Gamma    FALSE #> 11939  747 0.6241370 0.120584114  fv      Gamma      RP(P), Gamma    FALSE #> 11955  748 0.8319601 0.155303605  fv      Gamma      RP(P), Gamma    FALSE #> 11971  749 0.6239035 0.120784818  fv      Gamma      RP(P), Gamma    FALSE #> 11987  750 0.5559165 0.108448974  fv      Gamma      RP(P), Gamma    FALSE #> 12003  751 0.9025966 0.167345296  fv      Gamma      RP(P), Gamma    FALSE #> 12019  752 0.8153572 0.153739062  fv      Gamma      RP(P), Gamma    FALSE #> 12035  753 0.6272796 0.122999496  fv      Gamma      RP(P), Gamma    FALSE #> 12051  754 0.7630634 0.144501360  fv      Gamma      RP(P), Gamma    FALSE #> 12067  755 0.7765286 0.147048699  fv      Gamma      RP(P), Gamma    FALSE #> 12083  756 1.1339230 0.205593685  fv      Gamma      RP(P), Gamma     TRUE #> 12099  757 0.6148180 0.119394869  fv      Gamma      RP(P), Gamma    FALSE #> 12115  758 0.5432530 0.106690499  fv      Gamma      RP(P), Gamma    FALSE #> 12131  759 0.6139540 0.118795452  fv      Gamma      RP(P), Gamma    FALSE #> 12147  760 0.6053061 0.117009343  fv      Gamma      RP(P), Gamma    FALSE #> 12163  761 0.7687177 0.146506742  fv      Gamma      RP(P), Gamma    FALSE #> 12179  762 0.6503456 0.125085698  fv      Gamma      RP(P), Gamma    FALSE #> 12195  763 0.6147158 0.119201346  fv      Gamma      RP(P), Gamma    FALSE #> 12211  764 0.7158499 0.137306674  fv      Gamma      RP(P), Gamma    FALSE #> 12227  765 0.7002176 0.134930951  fv      Gamma      RP(P), Gamma    FALSE #> 12243  766 0.5657031 0.110972938  fv      Gamma      RP(P), Gamma    FALSE #> 12259  767 0.7776944 0.147857952  fv      Gamma      RP(P), Gamma    FALSE #> 12275  768 0.7286661 0.138405976  fv      Gamma      RP(P), Gamma    FALSE #> 12291  769 0.8013336 0.150430910  fv      Gamma      RP(P), Gamma    FALSE #> 12307  770 0.5887824 0.116113997  fv      Gamma      RP(P), Gamma    FALSE #> 12323  771 0.5586792 0.109343864  fv      Gamma      RP(P), Gamma    FALSE #> 12339  772 0.8625072 0.165893739  fv      Gamma      RP(P), Gamma    FALSE #> 12355  773 0.6841501 0.132154034  fv      Gamma      RP(P), Gamma    FALSE #> 12371  774 0.7403145 0.140287332  fv      Gamma      RP(P), Gamma    FALSE #> 12387  775 0.9725393 0.183070759  fv      Gamma      RP(P), Gamma    FALSE #> 12403  776 0.7450303 0.140817496  fv      Gamma      RP(P), Gamma    FALSE #> 12419  777 0.6343648 0.122711321  fv      Gamma      RP(P), Gamma    FALSE #> 12435  778 0.7993270 0.151902110  fv      Gamma      RP(P), Gamma    FALSE #> 12451  779 0.8088646 0.152875106  fv      Gamma      RP(P), Gamma    FALSE #> 12467  780        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 12483  781 0.6087847 0.119407501  fv      Gamma      RP(P), Gamma    FALSE #> 12499  782 0.6605803 0.131867548  fv      Gamma      RP(P), Gamma    FALSE #> 12515  783 0.7750586 0.146132801  fv      Gamma      RP(P), Gamma    FALSE #> 12531  784 0.6495380 0.124443981  fv      Gamma      RP(P), Gamma    FALSE #> 12547  785 0.6407272 0.123198032  fv      Gamma      RP(P), Gamma    FALSE #> 12563  786 0.9000376 0.168714826  fv      Gamma      RP(P), Gamma    FALSE #> 12579  787 0.8111483 0.157542078  fv      Gamma      RP(P), Gamma    FALSE #> 12595  788 0.7380264 0.140992473  fv      Gamma      RP(P), Gamma    FALSE #> 12611  789 0.8476976 0.161406608  fv      Gamma      RP(P), Gamma    FALSE #> 12627  790 0.9024427 0.172655911  fv      Gamma      RP(P), Gamma    FALSE #> 12643  791 0.9430376 0.178166763  fv      Gamma      RP(P), Gamma    FALSE #> 12659  792 0.9351843 0.174085705  fv      Gamma      RP(P), Gamma    FALSE #> 12675  793 0.6732365 0.129192553  fv      Gamma      RP(P), Gamma    FALSE #> 12691  794 0.3859247 0.078027842  fv      Gamma      RP(P), Gamma    FALSE #> 12707  795 0.6998057 0.134561671  fv      Gamma      RP(P), Gamma    FALSE #> 12723  796 0.7919689 0.150058245  fv      Gamma      RP(P), Gamma    FALSE #> 12739  797 0.6275349 0.122051366  fv      Gamma      RP(P), Gamma    FALSE #> 12755  798 0.5850261 0.114219338  fv      Gamma      RP(P), Gamma    FALSE #> 12771  799 0.9191908 0.178128093  fv      Gamma      RP(P), Gamma    FALSE #> 12787  800 0.8922223 0.166340459  fv      Gamma      RP(P), Gamma    FALSE #> 12803  801 0.6043574 0.118347117  fv      Gamma      RP(P), Gamma    FALSE #> 12819  802 0.6171306 0.118894255  fv      Gamma      RP(P), Gamma    FALSE #> 12835  803 0.7658729 0.144480842  fv      Gamma      RP(P), Gamma    FALSE #> 12851  804 0.7889772 0.149222466  fv      Gamma      RP(P), Gamma    FALSE #> 12867  805 0.8005181 0.151346516  fv      Gamma      RP(P), Gamma    FALSE #> 12883  806 0.5808515 0.112939967  fv      Gamma      RP(P), Gamma    FALSE #> 12899  807 0.9661626 0.179076575  fv      Gamma      RP(P), Gamma    FALSE #> 12915  808 0.7042314 0.138042522  fv      Gamma      RP(P), Gamma    FALSE #> 12931  809 0.8734012 0.167819080  fv      Gamma      RP(P), Gamma    FALSE #> 12947  810 0.7531191 0.142535233  fv      Gamma      RP(P), Gamma    FALSE #> 12963  811 0.9776521 0.180079230  fv      Gamma      RP(P), Gamma    FALSE #> 12979  812 0.6756066 0.130110250  fv      Gamma      RP(P), Gamma    FALSE #> 12995  813 0.8547872 0.159923942  fv      Gamma      RP(P), Gamma    FALSE #> 13011  814 0.8478379 0.160402232  fv      Gamma      RP(P), Gamma    FALSE #> 13027  815 1.0381546 0.193586062  fv      Gamma      RP(P), Gamma    FALSE #> 13043  816 0.6065386 0.119016822  fv      Gamma      RP(P), Gamma    FALSE #> 13059  817 0.8312686 0.160699876  fv      Gamma      RP(P), Gamma    FALSE #> 13075  818 0.6723233 0.130326892  fv      Gamma      RP(P), Gamma    FALSE #> 13091  819 0.9040734 0.172206834  fv      Gamma      RP(P), Gamma    FALSE #> 13107  820 0.6626870 0.126985479  fv      Gamma      RP(P), Gamma    FALSE #> 13123  821 0.7749392 0.149228961  fv      Gamma      RP(P), Gamma    FALSE #> 13139  822 0.5198505 0.102096349  fv      Gamma      RP(P), Gamma    FALSE #> 13155  823 0.7135305 0.136903270  fv      Gamma      RP(P), Gamma    FALSE #> 13171  824 0.7431181 0.141763121  fv      Gamma      RP(P), Gamma    FALSE #> 13187  825 0.5631657 0.110129879  fv      Gamma      RP(P), Gamma    FALSE #> 13203  826 0.7061344 0.133539029  fv      Gamma      RP(P), Gamma    FALSE #> 13219  827 0.6528873 0.124927870  fv      Gamma      RP(P), Gamma    FALSE #> 13235  828 0.9604082 0.181879005  fv      Gamma      RP(P), Gamma    FALSE #> 13251  829 0.6024186 0.116726974  fv      Gamma      RP(P), Gamma    FALSE #> 13267  830 0.8517937 0.160118257  fv      Gamma      RP(P), Gamma    FALSE #> 13283  831 0.5413722 0.107776935  fv      Gamma      RP(P), Gamma    FALSE #> 13299  832 0.7271789 0.138304720  fv      Gamma      RP(P), Gamma    FALSE #> 13315  833 0.7249351 0.138256244  fv      Gamma      RP(P), Gamma    FALSE #> 13331  834 0.5385471 0.106479275  fv      Gamma      RP(P), Gamma    FALSE #> 13347  835 0.6823086 0.130247610  fv      Gamma      RP(P), Gamma    FALSE #> 13363  836 0.7231375 0.138611031  fv      Gamma      RP(P), Gamma    FALSE #> 13379  837 0.6984835 0.134825376  fv      Gamma      RP(P), Gamma    FALSE #> 13395  838 0.9073089 0.168321113  fv      Gamma      RP(P), Gamma    FALSE #> 13411  839 0.6372419 0.123018519  fv      Gamma      RP(P), Gamma    FALSE #> 13427  840 0.7448403 0.141879837  fv      Gamma      RP(P), Gamma    FALSE #> 13443  841 0.7244250 0.136804241  fv      Gamma      RP(P), Gamma    FALSE #> 13459  842 0.7297928 0.140145685  fv      Gamma      RP(P), Gamma    FALSE #> 13475  843 0.9415358 0.175690499  fv      Gamma      RP(P), Gamma    FALSE #> 13491  844 0.7608448 0.146469678  fv      Gamma      RP(P), Gamma    FALSE #> 13507  845 0.8961165 0.167892095  fv      Gamma      RP(P), Gamma    FALSE #> 13523  846 0.6313314 0.123796847  fv      Gamma      RP(P), Gamma    FALSE #> 13539  847 0.6408113 0.126385690  fv      Gamma      RP(P), Gamma    FALSE #> 13555  848 0.5258133 0.103834384  fv      Gamma      RP(P), Gamma    FALSE #> 13571  849 0.7230815 0.136689050  fv      Gamma      RP(P), Gamma    FALSE #> 13587  850 0.6668834 0.127661821  fv      Gamma      RP(P), Gamma    FALSE #> 13603  851 0.7700720 0.146643873  fv      Gamma      RP(P), Gamma    FALSE #> 13619  852 0.4635693 0.092359411  fv      Gamma      RP(P), Gamma    FALSE #> 13635  853 0.7474297 0.141513530  fv      Gamma      RP(P), Gamma    FALSE #> 13651  854 0.5512805 0.108040252  fv      Gamma      RP(P), Gamma    FALSE #> 13667  855 0.9322641 0.173321281  fv      Gamma      RP(P), Gamma    FALSE #> 13683  856 0.8130425 0.152735715  fv      Gamma      RP(P), Gamma    FALSE #> 13699  857 0.5913117 0.115856491  fv      Gamma      RP(P), Gamma    FALSE #> 13715  858 0.6348206 0.123095885  fv      Gamma      RP(P), Gamma    FALSE #> 13731  859 0.6829374 0.133973853  fv      Gamma      RP(P), Gamma    FALSE #> 13747  860 0.6630881 0.127449186  fv      Gamma      RP(P), Gamma    FALSE #> 13763  861 0.8296646 0.156284689  fv      Gamma      RP(P), Gamma    FALSE #> 13779  862 0.6256559 0.120163322  fv      Gamma      RP(P), Gamma    FALSE #> 13795  863 0.7547157 0.143508193  fv      Gamma      RP(P), Gamma    FALSE #> 13811  864 0.7274700 0.139329512  fv      Gamma      RP(P), Gamma    FALSE #> 13827  865 0.7915269 0.150148411  fv      Gamma      RP(P), Gamma    FALSE #> 13843  866 0.6938166 0.132710273  fv      Gamma      RP(P), Gamma    FALSE #> 13859  867 0.7270595 0.138558270  fv      Gamma      RP(P), Gamma    FALSE #> 13875  868 0.7646349 0.145030386  fv      Gamma      RP(P), Gamma    FALSE #> 13891  869 0.7412567 0.141031242  fv      Gamma      RP(P), Gamma    FALSE #> 13907  870 0.6928811 0.135884346  fv      Gamma      RP(P), Gamma    FALSE #> 13923  871        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 13939  872 0.8741667 0.164519963  fv      Gamma      RP(P), Gamma    FALSE #> 13955  873 0.8141794 0.152418868  fv      Gamma      RP(P), Gamma    FALSE #> 13971  874 1.0582781 0.201045860  fv      Gamma      RP(P), Gamma    FALSE #> 13987  875 0.6152695 0.118843687  fv      Gamma      RP(P), Gamma    FALSE #> 14003  876 0.6653659 0.127197470  fv      Gamma      RP(P), Gamma    FALSE #> 14019  877 0.7482744 0.141869490  fv      Gamma      RP(P), Gamma    FALSE #> 14035  878 0.7940041 0.152669508  fv      Gamma      RP(P), Gamma    FALSE #> 14051  879 0.7056140 0.139457238  fv      Gamma      RP(P), Gamma    FALSE #> 14067  880 0.9237356 0.171450639  fv      Gamma      RP(P), Gamma    FALSE #> 14083  881        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 14099  882 0.9622642 0.177419442  fv      Gamma      RP(P), Gamma    FALSE #> 14115  883 0.6122745 0.118943858  fv      Gamma      RP(P), Gamma    FALSE #> 14131  884 0.6036147 0.116254204  fv      Gamma      RP(P), Gamma    FALSE #> 14147  885 0.5917685 0.115023471  fv      Gamma      RP(P), Gamma    FALSE #> 14163  886 0.5903262 0.115035223  fv      Gamma      RP(P), Gamma    FALSE #> 14179  887 0.7178929 0.137358795  fv      Gamma      RP(P), Gamma    FALSE #> 14195  888 0.9596692 0.177126009  fv      Gamma      RP(P), Gamma    FALSE #> 14211  889 0.8047857 0.150574821  fv      Gamma      RP(P), Gamma    FALSE #> 14227  890 0.6195377 0.120542563  fv      Gamma      RP(P), Gamma    FALSE #> 14243  891 0.5142069 0.100991313  fv      Gamma      RP(P), Gamma    FALSE #> 14259  892 0.6862121 0.131311434  fv      Gamma      RP(P), Gamma    FALSE #> 14275  893 0.8301538 0.158225903  fv      Gamma      RP(P), Gamma    FALSE #> 14291  894 0.5690579 0.111132288  fv      Gamma      RP(P), Gamma    FALSE #> 14307  895 0.7646876 0.145255201  fv      Gamma      RP(P), Gamma    FALSE #> 14323  896 0.8736150 0.162750200  fv      Gamma      RP(P), Gamma    FALSE #> 14339  897 0.7174357 0.136603078  fv      Gamma      RP(P), Gamma    FALSE #> 14355  898 0.9077453 0.168301401  fv      Gamma      RP(P), Gamma    FALSE #> 14371  899 0.7703075 0.146578385  fv      Gamma      RP(P), Gamma    FALSE #> 14387  900 0.7968261 0.152992830  fv      Gamma      RP(P), Gamma    FALSE #> 14403  901 0.6041539 0.117492458  fv      Gamma      RP(P), Gamma    FALSE #> 14419  902 0.5806196 0.112757680  fv      Gamma      RP(P), Gamma    FALSE #> 14435  903 0.6449749 0.123830439  fv      Gamma      RP(P), Gamma    FALSE #> 14451  904 1.0648896 0.202836264  fv      Gamma      RP(P), Gamma    FALSE #> 14467  905 0.6172244 0.118612589  fv      Gamma      RP(P), Gamma    FALSE #> 14483  906 0.9307485 0.171739678  fv      Gamma      RP(P), Gamma    FALSE #> 14499  907 0.7212674 0.137324092  fv      Gamma      RP(P), Gamma    FALSE #> 14515  908 0.6557254 0.129913240  fv      Gamma      RP(P), Gamma    FALSE #> 14531  909 0.6191823 0.120399527  fv      Gamma      RP(P), Gamma    FALSE #> 14547  910 0.5543950 0.108411251  fv      Gamma      RP(P), Gamma    FALSE #> 14563  911 0.7093924 0.139027722  fv      Gamma      RP(P), Gamma    FALSE #> 14579  912 0.5474285 0.106437830  fv      Gamma      RP(P), Gamma    FALSE #> 14595  913 0.7027527 0.133771400  fv      Gamma      RP(P), Gamma    FALSE #> 14611  914 0.6350090 0.123912603  fv      Gamma      RP(P), Gamma    FALSE #> 14627  915 0.8877144 0.168402032  fv      Gamma      RP(P), Gamma    FALSE #> 14643  916 0.5324769 0.103993777  fv      Gamma      RP(P), Gamma    FALSE #> 14659  917 0.8257094 0.158306447  fv      Gamma      RP(P), Gamma    FALSE #> 14675  918 0.7822604 0.147161994  fv      Gamma      RP(P), Gamma    FALSE #> 14691  919 0.5649634 0.109871170  fv      Gamma      RP(P), Gamma    FALSE #> 14707  920 0.7581416 0.142890003  fv      Gamma      RP(P), Gamma    FALSE #> 14723  921 0.8239834 0.155853841  fv      Gamma      RP(P), Gamma    FALSE #> 14739  922 1.0610788 0.198654926  fv      Gamma      RP(P), Gamma    FALSE #> 14755  923 0.7195818 0.136933304  fv      Gamma      RP(P), Gamma    FALSE #> 14771  924 0.7698761 0.144921933  fv      Gamma      RP(P), Gamma    FALSE #> 14787  925 0.8687568 0.166258634  fv      Gamma      RP(P), Gamma    FALSE #> 14803  926 0.7069269 0.133988760  fv      Gamma      RP(P), Gamma    FALSE #> 14819  927 0.4598690 0.091786557  fv      Gamma      RP(P), Gamma    FALSE #> 14835  928 0.6924455 0.131790224  fv      Gamma      RP(P), Gamma    FALSE #> 14851  929        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 14867  930 0.8848479 0.169540478  fv      Gamma      RP(P), Gamma    FALSE #> 14883  931 0.6753327 0.128916825  fv      Gamma      RP(P), Gamma    FALSE #> 14899  932 0.8372623 0.156313520  fv      Gamma      RP(P), Gamma    FALSE #> 14915  933 0.6307088 0.122091618  fv      Gamma      RP(P), Gamma    FALSE #> 14931  934 0.6027997 0.116538645  fv      Gamma      RP(P), Gamma    FALSE #> 14947  935 0.5052707 0.100596407  fv      Gamma      RP(P), Gamma    FALSE #> 14963  936 0.5930017 0.114762813  fv      Gamma      RP(P), Gamma    FALSE #> 14979  937 1.1060700 0.204812720  fv      Gamma      RP(P), Gamma     TRUE #> 14995  938 0.7900036 0.149577687  fv      Gamma      RP(P), Gamma    FALSE #> 15011  939 0.8269911 0.155312585  fv      Gamma      RP(P), Gamma    FALSE #> 15027  940 0.7651135 0.144304466  fv      Gamma      RP(P), Gamma    FALSE #> 15043  941 0.6356078 0.122487768  fv      Gamma      RP(P), Gamma    FALSE #> 15059  942 0.6473050 0.124922562  fv      Gamma      RP(P), Gamma    FALSE #> 15075  943 0.4807370 0.095724602  fv      Gamma      RP(P), Gamma    FALSE #> 15091  944 0.6194064 0.119154705  fv      Gamma      RP(P), Gamma    FALSE #> 15107  945 0.6175935 0.119838731  fv      Gamma      RP(P), Gamma    FALSE #> 15123  946 0.7670644 0.149036648  fv      Gamma      RP(P), Gamma    FALSE #> 15139  947 0.6811637 0.132119739  fv      Gamma      RP(P), Gamma    FALSE #> 15155  948 0.5151351 0.102962455  fv      Gamma      RP(P), Gamma    FALSE #> 15171  949 0.6194144 0.120993729  fv      Gamma      RP(P), Gamma    FALSE #> 15187  950 0.6245088 0.122145644  fv      Gamma      RP(P), Gamma    FALSE #> 15203  951 0.7155764 0.136307065  fv      Gamma      RP(P), Gamma    FALSE #> 15219  952 0.6737609 0.129729678  fv      Gamma      RP(P), Gamma    FALSE #> 15235  953 1.0941966 0.202309534  fv      Gamma      RP(P), Gamma    FALSE #> 15251  954 0.6752267 0.129373036  fv      Gamma      RP(P), Gamma    FALSE #> 15267  955 0.8191963 0.153734262  fv      Gamma      RP(P), Gamma    FALSE #> 15283  956 0.6642468 0.128557962  fv      Gamma      RP(P), Gamma    FALSE #> 15299  957 0.6334643 0.123008889  fv      Gamma      RP(P), Gamma    FALSE #> 15315  958 0.5365145 0.105276009  fv      Gamma      RP(P), Gamma    FALSE #> 15331  959 0.5981546 0.115741211  fv      Gamma      RP(P), Gamma    FALSE #> 15347  960 0.7820444 0.148491202  fv      Gamma      RP(P), Gamma    FALSE #> 15363  961 0.5120426 0.101261877  fv      Gamma      RP(P), Gamma    FALSE #> 15379  962 0.9039760 0.168664395  fv      Gamma      RP(P), Gamma    FALSE #> 15395  963 0.8351072 0.158257000  fv      Gamma      RP(P), Gamma    FALSE #> 15411  964 0.6922496 0.132776055  fv      Gamma      RP(P), Gamma    FALSE #> 15427  965 0.6365475 0.123530828  fv      Gamma      RP(P), Gamma    FALSE #> 15443  966 0.7682227 0.146838969  fv      Gamma      RP(P), Gamma    FALSE #> 15459  967 0.6676674 0.127821817  fv      Gamma      RP(P), Gamma    FALSE #> 15475  968 0.5625265 0.109741850  fv      Gamma      RP(P), Gamma    FALSE #> 15491  969 0.7509732 0.144589636  fv      Gamma      RP(P), Gamma    FALSE #> 15507  970 0.7023211 0.138688899  fv      Gamma      RP(P), Gamma    FALSE #> 15523  971 0.6365563 0.123319119  fv      Gamma      RP(P), Gamma    FALSE #> 15539  972 0.6556819 0.129732139  fv      Gamma      RP(P), Gamma    FALSE #> 15555  973 0.9647090 0.185057265  fv      Gamma      RP(P), Gamma    FALSE #> 15571  974 0.5263112 0.103972669  fv      Gamma      RP(P), Gamma    FALSE #> 15587  975 0.5028392 0.099877710  fv      Gamma      RP(P), Gamma    FALSE #> 15603  976 0.7556945 0.143837742  fv      Gamma      RP(P), Gamma    FALSE #> 15619  977 0.8499235 0.158553778  fv      Gamma      RP(P), Gamma    FALSE #> 15635  978 0.8299769 0.159832741  fv      Gamma      RP(P), Gamma    FALSE #> 15651  979 0.8153734 0.157312216  fv      Gamma      RP(P), Gamma    FALSE #> 15667  980 0.5361506 0.105128657  fv      Gamma      RP(P), Gamma    FALSE #> 15683  981 0.7147316 0.137951031  fv      Gamma      RP(P), Gamma    FALSE #> 15699  982 0.9684844 0.181555375  fv      Gamma      RP(P), Gamma    FALSE #> 15715  983 0.5330180 0.105260888  fv      Gamma      RP(P), Gamma    FALSE #> 15731  984 0.7522072 0.143060278  fv      Gamma      RP(P), Gamma    FALSE #> 15747  985 0.8205779 0.157882770  fv      Gamma      RP(P), Gamma    FALSE #> 15763  986 0.6120942 0.117431990  fv      Gamma      RP(P), Gamma    FALSE #> 15779  987 0.5490514 0.107616085  fv      Gamma      RP(P), Gamma    FALSE #> 15795  988 0.6296822 0.121481511  fv      Gamma      RP(P), Gamma    FALSE #> 15811  989 0.7954111 0.149703493  fv      Gamma      RP(P), Gamma    FALSE #> 15827  990 0.7113507 0.134852556  fv      Gamma      RP(P), Gamma    FALSE #> 15843  991 0.7586014 0.144688767  fv      Gamma      RP(P), Gamma    FALSE #> 15859  992 0.7789712 0.148678906  fv      Gamma      RP(P), Gamma    FALSE #> 15875  993 0.9452686 0.175283351  fv      Gamma      RP(P), Gamma    FALSE #> 15891  994 0.6625835 0.127525541  fv      Gamma      RP(P), Gamma    FALSE #> 15907  995 0.8179336 0.154628613  fv      Gamma      RP(P), Gamma    FALSE #> 15923  996 0.6698410 0.128532500  fv      Gamma      RP(P), Gamma    FALSE #> 15939  997 0.6029261 0.120579994  fv      Gamma      RP(P), Gamma    FALSE #> 15955  998 0.6444980 0.124308172  fv      Gamma      RP(P), Gamma    FALSE #> 15971  999 0.5097824 0.100070485  fv      Gamma      RP(P), Gamma    FALSE #> 15987 1000 0.5002252 0.099547221  fv      Gamma      RP(P), Gamma    FALSE #> 4        1 0.8410503 0.180489790  fv      Gamma RP(P), Log-Normal    FALSE #> 20       2 0.8678277 0.194181070  fv      Gamma RP(P), Log-Normal    FALSE #> 36       3 1.5656905 0.354448508  fv      Gamma RP(P), Log-Normal    FALSE #> 52       4 1.2089109 0.260522826  fv      Gamma RP(P), Log-Normal    FALSE #> 68       5 0.9105106 0.200479265  fv      Gamma RP(P), Log-Normal    FALSE #> 84       6 0.9727359 0.207142387  fv      Gamma RP(P), Log-Normal    FALSE #> 100      7 0.9091356 0.198318108  fv      Gamma RP(P), Log-Normal    FALSE #> 116      8 1.3377013 0.293288046  fv      Gamma RP(P), Log-Normal    FALSE #> 132      9 1.2350450 0.276016839  fv      Gamma RP(P), Log-Normal    FALSE #> 148     10 0.9974789 0.217294847  fv      Gamma RP(P), Log-Normal    FALSE #> 164     11 1.0414795 0.229502409  fv      Gamma RP(P), Log-Normal    FALSE #> 180     12 1.4499625 0.321000485  fv      Gamma RP(P), Log-Normal    FALSE #> 196     13 1.2289253 0.270499075  fv      Gamma RP(P), Log-Normal    FALSE #> 212     14 0.7903710 0.178471107  fv      Gamma RP(P), Log-Normal    FALSE #> 228     15 1.1996110 0.263087699  fv      Gamma RP(P), Log-Normal    FALSE #> 244     16 1.2290670 0.262683325  fv      Gamma RP(P), Log-Normal    FALSE #> 260     17 0.7668133 0.166707205  fv      Gamma RP(P), Log-Normal    FALSE #> 276     18 0.5614283 0.129201981  fv      Gamma RP(P), Log-Normal    FALSE #> 292     19 0.8973139 0.194570679  fv      Gamma RP(P), Log-Normal    FALSE #> 308     20 1.2979832 0.290290296  fv      Gamma RP(P), Log-Normal    FALSE #> 324     21 0.6887073 0.156427688  fv      Gamma RP(P), Log-Normal    FALSE #> 340     22 1.2170119 0.272426758  fv      Gamma RP(P), Log-Normal    FALSE #> 356     23 0.8168514 0.177990111  fv      Gamma RP(P), Log-Normal    FALSE #> 372     24 1.0319698 0.223783982  fv      Gamma RP(P), Log-Normal    FALSE #> 388     25 1.1205947 0.246445015  fv      Gamma RP(P), Log-Normal    FALSE #> 404     26 0.9638065 0.214741205  fv      Gamma RP(P), Log-Normal    FALSE #> 420     27 1.8077166 0.405187974  fv      Gamma RP(P), Log-Normal     TRUE #> 436     28 1.4582922 0.319696485  fv      Gamma RP(P), Log-Normal    FALSE #> 452     29 1.2743998 0.277048737  fv      Gamma RP(P), Log-Normal    FALSE #> 468     30 1.4103568 0.311798652  fv      Gamma RP(P), Log-Normal    FALSE #> 484     31 0.8138218 0.185276938  fv      Gamma RP(P), Log-Normal    FALSE #> 500     32 0.9982089 0.220955990  fv      Gamma RP(P), Log-Normal    FALSE #> 516     33 0.8061031 0.175345832  fv      Gamma RP(P), Log-Normal    FALSE #> 532     34 0.7039887 0.153529988  fv      Gamma RP(P), Log-Normal    FALSE #> 548     35 1.0346859 0.233365573  fv      Gamma RP(P), Log-Normal    FALSE #> 564     36 0.7549084 0.171089345  fv      Gamma RP(P), Log-Normal    FALSE #> 580     37 0.7130831 0.152936839  fv      Gamma RP(P), Log-Normal    FALSE #> 596     38 0.6323124 0.137321184  fv      Gamma RP(P), Log-Normal    FALSE #> 612     39 0.9223978 0.197745952  fv      Gamma RP(P), Log-Normal    FALSE #> 628     40 0.5917448 0.131429331  fv      Gamma RP(P), Log-Normal    FALSE #> 644     41 1.7030475 0.362512848  fv      Gamma RP(P), Log-Normal     TRUE #> 660     42 0.9836085 0.221167054  fv      Gamma RP(P), Log-Normal    FALSE #> 676     43 1.0892011 0.236781660  fv      Gamma RP(P), Log-Normal    FALSE #> 692     44 1.0691287 0.229946817  fv      Gamma RP(P), Log-Normal    FALSE #> 708     45 0.9125777 0.193490742  fv      Gamma RP(P), Log-Normal    FALSE #> 724     46 0.8640446 0.183399015  fv      Gamma RP(P), Log-Normal    FALSE #> 740     47 1.3812417 0.310356076  fv      Gamma RP(P), Log-Normal    FALSE #> 756     48 0.9461687 0.209437725  fv      Gamma RP(P), Log-Normal    FALSE #> 772     49 1.2123569 0.272535046  fv      Gamma RP(P), Log-Normal    FALSE #> 788     50 1.0157173 0.219640404  fv      Gamma RP(P), Log-Normal    FALSE #> 804     51 1.2240924 0.266048868  fv      Gamma RP(P), Log-Normal    FALSE #> 820     52 0.6314951 0.135520991  fv      Gamma RP(P), Log-Normal    FALSE #> 836     53 0.7902155 0.170518782  fv      Gamma RP(P), Log-Normal    FALSE #> 852     54 0.6234466 0.136430712  fv      Gamma RP(P), Log-Normal    FALSE #> 868     55 1.1077144 0.243206554  fv      Gamma RP(P), Log-Normal    FALSE #> 884     56 0.8032454 0.176040775  fv      Gamma RP(P), Log-Normal    FALSE #> 900     57 1.0879018 0.236307364  fv      Gamma RP(P), Log-Normal    FALSE #> 916     58 0.9079961 0.206563826  fv      Gamma RP(P), Log-Normal    FALSE #> 932     59 0.8521420 0.182802754  fv      Gamma RP(P), Log-Normal    FALSE #> 948     60 1.1246211 0.247632446  fv      Gamma RP(P), Log-Normal    FALSE #> 964     61 0.8496498 0.182406159  fv      Gamma RP(P), Log-Normal    FALSE #> 980     62 0.6798459 0.145192799  fv      Gamma RP(P), Log-Normal    FALSE #> 996     63 1.1786060 0.259638432  fv      Gamma RP(P), Log-Normal    FALSE #> 1012    64 0.8159884 0.175037739  fv      Gamma RP(P), Log-Normal    FALSE #> 1028    65 0.8800785 0.187329515  fv      Gamma RP(P), Log-Normal    FALSE #> 1044    66 0.6475174 0.141594919  fv      Gamma RP(P), Log-Normal    FALSE #> 1060    67 1.1346861 0.243224867  fv      Gamma RP(P), Log-Normal    FALSE #> 1076    68 0.9451782 0.204530548  fv      Gamma RP(P), Log-Normal    FALSE #> 1092    69 0.6591367 0.142421595  fv      Gamma RP(P), Log-Normal    FALSE #> 1108    70 0.8957225 0.201454630  fv      Gamma RP(P), Log-Normal    FALSE #> 1124    71 1.2425651 0.269862801  fv      Gamma RP(P), Log-Normal    FALSE #> 1140    72 0.7988484 0.172472083  fv      Gamma RP(P), Log-Normal    FALSE #> 1156    73 0.5992919 0.131137709  fv      Gamma RP(P), Log-Normal    FALSE #> 1172    74 0.8804460 0.189838649  fv      Gamma RP(P), Log-Normal    FALSE #> 1188    75 0.9777687 0.216420261  fv      Gamma RP(P), Log-Normal    FALSE #> 1204    76 0.9693736 0.219502318  fv      Gamma RP(P), Log-Normal    FALSE #> 1220    77 1.0165404 0.226139509  fv      Gamma RP(P), Log-Normal    FALSE #> 1236    78 1.4399271 0.315071555  fv      Gamma RP(P), Log-Normal    FALSE #> 1252    79 2.1221995 0.470009490  fv      Gamma RP(P), Log-Normal     TRUE #> 1268    80 0.7791535 0.174703739  fv      Gamma RP(P), Log-Normal    FALSE #> 1284    81 1.2547237 0.280827316  fv      Gamma RP(P), Log-Normal    FALSE #> 1300    82 0.9467868 0.204477217  fv      Gamma RP(P), Log-Normal    FALSE #> 1316    83 0.6230714 0.145922655  fv      Gamma RP(P), Log-Normal    FALSE #> 1332    84 0.9656183 0.208305949  fv      Gamma RP(P), Log-Normal    FALSE #> 1348    85 0.8409584 0.179338509  fv      Gamma RP(P), Log-Normal    FALSE #> 1364    86 0.8783902 0.188634107  fv      Gamma RP(P), Log-Normal    FALSE #> 1380    87 0.7891754 0.171683960  fv      Gamma RP(P), Log-Normal    FALSE #> 1396    88 0.8889765 0.189117565  fv      Gamma RP(P), Log-Normal    FALSE #> 1412    89 1.0136504 0.220546193  fv      Gamma RP(P), Log-Normal    FALSE #> 1428    90 1.1286349 0.241320253  fv      Gamma RP(P), Log-Normal    FALSE #> 1444    91 0.9312858 0.201825397  fv      Gamma RP(P), Log-Normal    FALSE #> 1460    92 0.8289786 0.178341610  fv      Gamma RP(P), Log-Normal    FALSE #> 1476    93 1.4146168 0.330757275  fv      Gamma RP(P), Log-Normal    FALSE #> 1492    94 1.1853824 0.265460198  fv      Gamma RP(P), Log-Normal    FALSE #> 1508    95 0.9465371 0.204446330  fv      Gamma RP(P), Log-Normal    FALSE #> 1524    96 0.5360025 0.117580795  fv      Gamma RP(P), Log-Normal    FALSE #> 1540    97 0.7049504 0.150930049  fv      Gamma RP(P), Log-Normal    FALSE #> 1556    98 1.0626450 0.230692215  fv      Gamma RP(P), Log-Normal    FALSE #> 1572    99 0.7236906 0.160439565  fv      Gamma RP(P), Log-Normal    FALSE #> 1588   100 1.2194488 0.261578712  fv      Gamma RP(P), Log-Normal    FALSE #> 1604   101 1.0668733 0.228523775  fv      Gamma RP(P), Log-Normal    FALSE #> 1620   102 0.9285004 0.200447554  fv      Gamma RP(P), Log-Normal    FALSE #> 1636   103 1.3458088 0.304378913  fv      Gamma RP(P), Log-Normal    FALSE #> 1652   104 1.0710874 0.231465125  fv      Gamma RP(P), Log-Normal    FALSE #> 1668   105 1.2613946 0.281394393  fv      Gamma RP(P), Log-Normal    FALSE #> 1684   106 0.8969644 0.193536579  fv      Gamma RP(P), Log-Normal    FALSE #> 1700   107 1.3073644 0.291540572  fv      Gamma RP(P), Log-Normal    FALSE #> 1716   108 1.2015396 0.273156263  fv      Gamma RP(P), Log-Normal    FALSE #> 1732   109 0.9608367 0.215133741  fv      Gamma RP(P), Log-Normal    FALSE #> 1748   110 1.0549760 0.230967027  fv      Gamma RP(P), Log-Normal    FALSE #> 1764   111 1.1546607 0.253379239  fv      Gamma RP(P), Log-Normal    FALSE #> 1780   112 0.5673895 0.125437515  fv      Gamma RP(P), Log-Normal    FALSE #> 1796   113 0.6343064 0.137652658  fv      Gamma RP(P), Log-Normal    FALSE #> 1812   114 1.6994774 0.372630539  fv      Gamma RP(P), Log-Normal     TRUE #> 1828   115 0.8096436 0.174316311  fv      Gamma RP(P), Log-Normal    FALSE #> 1844   116 0.5983113 0.130571723  fv      Gamma RP(P), Log-Normal    FALSE #> 1860   117 1.0752666 0.230788747  fv      Gamma RP(P), Log-Normal    FALSE #> 1876   118 0.6424306 0.138884328  fv      Gamma RP(P), Log-Normal    FALSE #> 1892   119 0.7987293 0.174838654  fv      Gamma RP(P), Log-Normal    FALSE #> 1908   120 0.9198102 0.199426585  fv      Gamma RP(P), Log-Normal    FALSE #> 1924   121 0.7655232 0.165876205  fv      Gamma RP(P), Log-Normal    FALSE #> 1940   122 0.8673380 0.192315723  fv      Gamma RP(P), Log-Normal    FALSE #> 1956   123 0.9257457 0.199557099  fv      Gamma RP(P), Log-Normal    FALSE #> 1972   124 0.9741059 0.208749126  fv      Gamma RP(P), Log-Normal    FALSE #> 1988   125 1.2460856 0.279458468  fv      Gamma RP(P), Log-Normal    FALSE #> 2004   126 1.5223418 0.348979386  fv      Gamma RP(P), Log-Normal    FALSE #> 2020   127 1.0897918 0.233748704  fv      Gamma RP(P), Log-Normal    FALSE #> 2036   128 1.0913695 0.235245203  fv      Gamma RP(P), Log-Normal    FALSE #> 2052   129 0.7759233 0.174810378  fv      Gamma RP(P), Log-Normal    FALSE #> 2068   130 0.8542536 0.185655091  fv      Gamma RP(P), Log-Normal    FALSE #> 2084   131 0.8677951 0.186392333  fv      Gamma RP(P), Log-Normal    FALSE #> 2100   132 1.0182273 0.229239447  fv      Gamma RP(P), Log-Normal    FALSE #> 2116   133 0.9314544 0.204039232  fv      Gamma RP(P), Log-Normal    FALSE #> 2132   134 1.0852088 0.238460386  fv      Gamma RP(P), Log-Normal    FALSE #> 2148   135 0.7909149 0.173975625  fv      Gamma RP(P), Log-Normal    FALSE #> 2164   136 0.9778860 0.214124322  fv      Gamma RP(P), Log-Normal    FALSE #> 2180   137 1.2598163 0.276133548  fv      Gamma RP(P), Log-Normal    FALSE #> 2196   138 1.2809055 0.281451627  fv      Gamma RP(P), Log-Normal    FALSE #> 2212   139 0.7995624 0.172343978  fv      Gamma RP(P), Log-Normal    FALSE #> 2228   140 1.0542020 0.228792828  fv      Gamma RP(P), Log-Normal    FALSE #> 2244   141 0.7478963 0.168448746  fv      Gamma RP(P), Log-Normal    FALSE #> 2260   142 0.9760714 0.213021566  fv      Gamma RP(P), Log-Normal    FALSE #> 2276   143 1.7801465 0.420367979  fv      Gamma RP(P), Log-Normal     TRUE #> 2292   144 1.1180069 0.240026858  fv      Gamma RP(P), Log-Normal    FALSE #> 2308   145 0.8550480 0.185257078  fv      Gamma RP(P), Log-Normal    FALSE #> 2324   146 0.8869459 0.194368374  fv      Gamma RP(P), Log-Normal    FALSE #> 2340   147 1.0416163 0.222624864  fv      Gamma RP(P), Log-Normal    FALSE #> 2356   148 0.6177941 0.133321319  fv      Gamma RP(P), Log-Normal    FALSE #> 2372   149 0.8384950 0.183594689  fv      Gamma RP(P), Log-Normal    FALSE #> 2388   150 1.1818709 0.256428027  fv      Gamma RP(P), Log-Normal    FALSE #> 2404   151 1.1336835 0.246106754  fv      Gamma RP(P), Log-Normal    FALSE #> 2420   152 1.2047244 0.274407174  fv      Gamma RP(P), Log-Normal    FALSE #> 2436   153 0.6319178 0.140024355  fv      Gamma RP(P), Log-Normal    FALSE #> 2452   154 1.1227542 0.243273981  fv      Gamma RP(P), Log-Normal    FALSE #> 2468   155 0.9472756 0.213435649  fv      Gamma RP(P), Log-Normal    FALSE #> 2484   156 0.9353948 0.201845857  fv      Gamma RP(P), Log-Normal    FALSE #> 2500   157 1.4443196 0.325027201  fv      Gamma RP(P), Log-Normal    FALSE #> 2516   158 1.4804150 0.332558943  fv      Gamma RP(P), Log-Normal    FALSE #> 2532   159 0.6630153 0.148287051  fv      Gamma RP(P), Log-Normal    FALSE #> 2548   160 0.6900087 0.149587077  fv      Gamma RP(P), Log-Normal    FALSE #> 2564   161 1.7387701 0.385887845  fv      Gamma RP(P), Log-Normal     TRUE #> 2580   162 0.9687233 0.217750869  fv      Gamma RP(P), Log-Normal    FALSE #> 2596   163 0.6827167 0.145583781  fv      Gamma RP(P), Log-Normal    FALSE #> 2612   164 1.2172745 0.262189900  fv      Gamma RP(P), Log-Normal    FALSE #> 2628   165 1.0784115 0.233084303  fv      Gamma RP(P), Log-Normal    FALSE #> 2644   166 1.1583751 0.261285259  fv      Gamma RP(P), Log-Normal    FALSE #> 2660   167 1.3212424 0.288994706  fv      Gamma RP(P), Log-Normal    FALSE #> 2676   168 1.0892162 0.232654723  fv      Gamma RP(P), Log-Normal    FALSE #> 2692   169 0.9488717 0.210488425  fv      Gamma RP(P), Log-Normal    FALSE #> 2708   170 0.9425105 0.207346315  fv      Gamma RP(P), Log-Normal    FALSE #> 2724   171 0.9648281 0.217152696  fv      Gamma RP(P), Log-Normal    FALSE #> 2740   172 1.1441352 0.247932693  fv      Gamma RP(P), Log-Normal    FALSE #> 2756   173 0.7910405 0.176024495  fv      Gamma RP(P), Log-Normal    FALSE #> 2772   174 1.1316952 0.249970141  fv      Gamma RP(P), Log-Normal    FALSE #> 2788   175 0.8198924 0.180989910  fv      Gamma RP(P), Log-Normal    FALSE #> 2804   176 0.8753872 0.188037677  fv      Gamma RP(P), Log-Normal    FALSE #> 2820   177 0.7720114 0.176313354  fv      Gamma RP(P), Log-Normal    FALSE #> 2836   178 1.1816336 0.253573112  fv      Gamma RP(P), Log-Normal    FALSE #> 2852   179 0.7570887 0.163987104  fv      Gamma RP(P), Log-Normal    FALSE #> 2868   180 1.0248482 0.231084001  fv      Gamma RP(P), Log-Normal    FALSE #> 2884   181 1.1758148 0.255526928  fv      Gamma RP(P), Log-Normal    FALSE #> 2900   182 0.9353048 0.200381412  fv      Gamma RP(P), Log-Normal    FALSE #> 2916   183 0.7649203 0.166913250  fv      Gamma RP(P), Log-Normal    FALSE #> 2932   184 0.9391842 0.210675866  fv      Gamma RP(P), Log-Normal    FALSE #> 2948   185 1.2001237 0.263877714  fv      Gamma RP(P), Log-Normal    FALSE #> 2964   186 1.3870806 0.315929817  fv      Gamma RP(P), Log-Normal    FALSE #> 2980   187 0.9699397 0.211577834  fv      Gamma RP(P), Log-Normal    FALSE #> 2996   188 0.6690904 0.144881941  fv      Gamma RP(P), Log-Normal    FALSE #> 3012   189 1.0329302 0.225123247  fv      Gamma RP(P), Log-Normal    FALSE #> 3028   190 0.9803038 0.208776860  fv      Gamma RP(P), Log-Normal    FALSE #> 3044   191 1.0084836 0.219927110  fv      Gamma RP(P), Log-Normal    FALSE #> 3060   192 1.0550664 0.236314960  fv      Gamma RP(P), Log-Normal    FALSE #> 3076   193 0.8630140 0.189691189  fv      Gamma RP(P), Log-Normal    FALSE #> 3092   194 0.8052466 0.175195362  fv      Gamma RP(P), Log-Normal    FALSE #> 3108   195 1.0968900 0.233922924  fv      Gamma RP(P), Log-Normal    FALSE #> 3124   196 1.1559404 0.256854876  fv      Gamma RP(P), Log-Normal    FALSE #> 3140   197 0.9197354 0.195423075  fv      Gamma RP(P), Log-Normal    FALSE #> 3156   198 0.9870597 0.210203075  fv      Gamma RP(P), Log-Normal    FALSE #> 3172   199 0.7693873 0.169248931  fv      Gamma RP(P), Log-Normal    FALSE #> 3188   200 1.0852385 0.232970650  fv      Gamma RP(P), Log-Normal    FALSE #> 3204   201 1.0582087 0.233919328  fv      Gamma RP(P), Log-Normal    FALSE #> 3220   202 1.1012224 0.237450055  fv      Gamma RP(P), Log-Normal    FALSE #> 3236   203 0.9917678 0.212158246  fv      Gamma RP(P), Log-Normal    FALSE #> 3252   204 1.0600987 0.242348250  fv      Gamma RP(P), Log-Normal    FALSE #> 3268   205 0.7573698 0.166925875  fv      Gamma RP(P), Log-Normal    FALSE #> 3284   206 1.0214815 0.222696133  fv      Gamma RP(P), Log-Normal    FALSE #> 3300   207 0.6835123 0.147794118  fv      Gamma RP(P), Log-Normal    FALSE #> 3316   208 0.9790364 0.214484170  fv      Gamma RP(P), Log-Normal    FALSE #> 3332   209 0.9284396 0.203537107  fv      Gamma RP(P), Log-Normal    FALSE #> 3348   210 0.9177248 0.203825830  fv      Gamma RP(P), Log-Normal    FALSE #> 3364   211 1.4985260 0.338006117  fv      Gamma RP(P), Log-Normal    FALSE #> 3380   212 0.9970864 0.223396310  fv      Gamma RP(P), Log-Normal    FALSE #> 3396   213 1.1144267 0.246404561  fv      Gamma RP(P), Log-Normal    FALSE #> 3412   214 1.0088299 0.226415030  fv      Gamma RP(P), Log-Normal    FALSE #> 3428   215 1.1291796 0.244563544  fv      Gamma RP(P), Log-Normal    FALSE #> 3444   216 1.2609631 0.275896977  fv      Gamma RP(P), Log-Normal    FALSE #> 3460   217 0.8389670 0.184949511  fv      Gamma RP(P), Log-Normal    FALSE #> 3476   218 0.8453860 0.188622069  fv      Gamma RP(P), Log-Normal    FALSE #> 3492   219 1.2183609 0.274303728  fv      Gamma RP(P), Log-Normal    FALSE #> 3508   220 0.7187300 0.156561885  fv      Gamma RP(P), Log-Normal    FALSE #> 3524   221 0.9388220 0.208447345  fv      Gamma RP(P), Log-Normal    FALSE #> 3540   222 1.1209367 0.250349485  fv      Gamma RP(P), Log-Normal    FALSE #> 3556   223 1.0480275 0.237133986  fv      Gamma RP(P), Log-Normal    FALSE #> 3572   224 1.0128154 0.221061644  fv      Gamma RP(P), Log-Normal    FALSE #> 3588   225 0.8044790 0.173788213  fv      Gamma RP(P), Log-Normal    FALSE #> 3604   226 1.3216154 0.300532131  fv      Gamma RP(P), Log-Normal    FALSE #> 3620   227 0.8680673 0.191662277  fv      Gamma RP(P), Log-Normal    FALSE #> 3636   228 1.1162978 0.238070849  fv      Gamma RP(P), Log-Normal    FALSE #> 3652   229 1.1133721 0.244781394  fv      Gamma RP(P), Log-Normal    FALSE #> 3668   230 0.8878602 0.190636787  fv      Gamma RP(P), Log-Normal    FALSE #> 3684   231 1.1544228 0.255759683  fv      Gamma RP(P), Log-Normal    FALSE #> 3700   232 1.0320456 0.230128037  fv      Gamma RP(P), Log-Normal    FALSE #> 3716   233 1.1888143 0.263237985  fv      Gamma RP(P), Log-Normal    FALSE #> 3732   234 0.9164521 0.201120134  fv      Gamma RP(P), Log-Normal    FALSE #> 3748   235 1.1327970 0.257687761  fv      Gamma RP(P), Log-Normal    FALSE #> 3764   236 0.6460332 0.144131419  fv      Gamma RP(P), Log-Normal    FALSE #> 3780   237 0.8430326 0.186855350  fv      Gamma RP(P), Log-Normal    FALSE #> 3796   238 0.8158895 0.183957007  fv      Gamma RP(P), Log-Normal    FALSE #> 3812   239 0.9394292 0.201459225  fv      Gamma RP(P), Log-Normal    FALSE #> 3828   240 1.1606621 0.257905170  fv      Gamma RP(P), Log-Normal    FALSE #> 3844   241 0.8538658 0.185111653  fv      Gamma RP(P), Log-Normal    FALSE #> 3860   242 0.6336259 0.138341079  fv      Gamma RP(P), Log-Normal    FALSE #> 3876   243 1.3611347 0.316943569  fv      Gamma RP(P), Log-Normal    FALSE #> 3892   244 0.6853487 0.148004398  fv      Gamma RP(P), Log-Normal    FALSE #> 3908   245 1.5239087 0.341431129  fv      Gamma RP(P), Log-Normal    FALSE #> 3924   246 0.8620671 0.184937320  fv      Gamma RP(P), Log-Normal    FALSE #> 3940   247 1.0483086 0.230069168  fv      Gamma RP(P), Log-Normal    FALSE #> 3956   248 1.3814399 0.299598493  fv      Gamma RP(P), Log-Normal    FALSE #> 3972   249 1.4587490 0.332527808  fv      Gamma RP(P), Log-Normal    FALSE #> 3988   250 0.9961178 0.219966795  fv      Gamma RP(P), Log-Normal    FALSE #> 4004   251 1.0802323 0.239577478  fv      Gamma RP(P), Log-Normal    FALSE #> 4020   252 1.1573802 0.260140925  fv      Gamma RP(P), Log-Normal    FALSE #> 4036   253 1.2435742 0.287752260  fv      Gamma RP(P), Log-Normal    FALSE #> 4052   254 0.6213066 0.133993890  fv      Gamma RP(P), Log-Normal    FALSE #> 4068   255 0.9306108 0.196210153  fv      Gamma RP(P), Log-Normal    FALSE #> 4084   256 0.9142294 0.199393458  fv      Gamma RP(P), Log-Normal    FALSE #> 4100   257 0.6756633 0.145660199  fv      Gamma RP(P), Log-Normal    FALSE #> 4116   258 1.0192314 0.236693687  fv      Gamma RP(P), Log-Normal    FALSE #> 4132   259 0.9446257 0.205216936  fv      Gamma RP(P), Log-Normal    FALSE #> 4148   260 1.1233469 0.244803377  fv      Gamma RP(P), Log-Normal    FALSE #> 4164   261 0.5981253 0.129981226  fv      Gamma RP(P), Log-Normal    FALSE #> 4180   262 0.8469669 0.185096728  fv      Gamma RP(P), Log-Normal    FALSE #> 4196   263 0.7899133 0.174604035  fv      Gamma RP(P), Log-Normal    FALSE #> 4212   264 0.6078800 0.131030433  fv      Gamma RP(P), Log-Normal    FALSE #> 4228   265 0.7793063 0.167770678  fv      Gamma RP(P), Log-Normal    FALSE #> 4244   266 0.8557823 0.187576892  fv      Gamma RP(P), Log-Normal    FALSE #> 4260   267 0.9221636 0.200920447  fv      Gamma RP(P), Log-Normal    FALSE #> 4276   268 0.9907061 0.213920651  fv      Gamma RP(P), Log-Normal    FALSE #> 4292   269 1.6707648 0.379565298  fv      Gamma RP(P), Log-Normal     TRUE #> 4308   270 1.2213651 0.278069743  fv      Gamma RP(P), Log-Normal    FALSE #> 4324   271 1.2134813 0.268186948  fv      Gamma RP(P), Log-Normal    FALSE #> 4340   272 0.7105029 0.158227375  fv      Gamma RP(P), Log-Normal    FALSE #> 4356   273 0.8171010 0.178367886  fv      Gamma RP(P), Log-Normal    FALSE #> 4372   274 0.9050407 0.193402733  fv      Gamma RP(P), Log-Normal    FALSE #> 4388   275 1.1353543 0.243983601  fv      Gamma RP(P), Log-Normal    FALSE #> 4404   276 1.0858343 0.244403762  fv      Gamma RP(P), Log-Normal    FALSE #> 4420   277 0.8684428 0.186238953  fv      Gamma RP(P), Log-Normal    FALSE #> 4436   278 1.0203287 0.220451182  fv      Gamma RP(P), Log-Normal    FALSE #> 4452   279 1.0011619 0.217423012  fv      Gamma RP(P), Log-Normal    FALSE #> 4468   280 0.9509821 0.203861367  fv      Gamma RP(P), Log-Normal    FALSE #> 4484   281 1.5506510 0.348875344  fv      Gamma RP(P), Log-Normal    FALSE #> 4500   282 0.7365934 0.158887674  fv      Gamma RP(P), Log-Normal    FALSE #> 4516   283 1.1427590 0.261767217  fv      Gamma RP(P), Log-Normal    FALSE #> 4532   284 0.7622570 0.162455472  fv      Gamma RP(P), Log-Normal    FALSE #> 4548   285 0.5961491 0.129287813  fv      Gamma RP(P), Log-Normal    FALSE #> 4564   286 1.0061213 0.217649530  fv      Gamma RP(P), Log-Normal    FALSE #> 4580   287 0.7806262 0.169733695  fv      Gamma RP(P), Log-Normal    FALSE #> 4596   288 1.8098902 0.399947941  fv      Gamma RP(P), Log-Normal     TRUE #> 4612   289 0.8393518 0.185200626  fv      Gamma RP(P), Log-Normal    FALSE #> 4628   290 0.7468449 0.162723595  fv      Gamma RP(P), Log-Normal    FALSE #> 4644   291 0.7601939 0.165843465  fv      Gamma RP(P), Log-Normal    FALSE #> 4660   292 0.7323268 0.156954458  fv      Gamma RP(P), Log-Normal    FALSE #> 4676   293 1.2258149 0.268151985  fv      Gamma RP(P), Log-Normal    FALSE #> 4692   294 0.8404157 0.183782801  fv      Gamma RP(P), Log-Normal    FALSE #> 4708   295 1.5766100 0.346101076  fv      Gamma RP(P), Log-Normal    FALSE #> 4724   296 1.0056320 0.220767234  fv      Gamma RP(P), Log-Normal    FALSE #> 4740   297 1.7157538 0.372587669  fv      Gamma RP(P), Log-Normal     TRUE #> 4756   298 0.6795482 0.146389054  fv      Gamma RP(P), Log-Normal    FALSE #> 4772   299 0.7207333 0.158465129  fv      Gamma RP(P), Log-Normal    FALSE #> 4788   300 1.1288850 0.241916357  fv      Gamma RP(P), Log-Normal    FALSE #> 4804   301 0.6731434 0.147303733  fv      Gamma RP(P), Log-Normal    FALSE #> 4820   302 1.0472072 0.224351808  fv      Gamma RP(P), Log-Normal    FALSE #> 4836   303 0.7717841 0.166341408  fv      Gamma RP(P), Log-Normal    FALSE #> 4852   304 0.8192309 0.175783833  fv      Gamma RP(P), Log-Normal    FALSE #> 4868   305 1.2026302 0.261708291  fv      Gamma RP(P), Log-Normal    FALSE #> 4884   306 0.9576788 0.208093071  fv      Gamma RP(P), Log-Normal    FALSE #> 4900   307 1.0605048 0.238865352  fv      Gamma RP(P), Log-Normal    FALSE #> 4916   308 0.8711031 0.189633570  fv      Gamma RP(P), Log-Normal    FALSE #> 4932   309 1.0053989 0.216562485  fv      Gamma RP(P), Log-Normal    FALSE #> 4948   310 1.6051705 0.357305337  fv      Gamma RP(P), Log-Normal     TRUE #> 4964   311 1.2178320 0.266118483  fv      Gamma RP(P), Log-Normal    FALSE #> 4980   312 1.8621584 0.430025773  fv      Gamma RP(P), Log-Normal     TRUE #> 4996   313 1.1324318 0.248100889  fv      Gamma RP(P), Log-Normal    FALSE #> 5012   314 0.9259319 0.204944464  fv      Gamma RP(P), Log-Normal    FALSE #> 5028   315 1.0717161 0.231194628  fv      Gamma RP(P), Log-Normal    FALSE #> 5044   316 1.5632161 0.343308715  fv      Gamma RP(P), Log-Normal    FALSE #> 5060   317 0.7911773 0.172163115  fv      Gamma RP(P), Log-Normal    FALSE #> 5076   318 1.0257467 0.229465201  fv      Gamma RP(P), Log-Normal    FALSE #> 5092   319 0.7560379 0.164851201  fv      Gamma RP(P), Log-Normal    FALSE #> 5108   320 0.7598209 0.164946075  fv      Gamma RP(P), Log-Normal    FALSE #> 5124   321 1.3366113 0.296232365  fv      Gamma RP(P), Log-Normal    FALSE #> 5140   322 0.6541514 0.142874097  fv      Gamma RP(P), Log-Normal    FALSE #> 5156   323 1.1888806 0.259384609  fv      Gamma RP(P), Log-Normal    FALSE #> 5172   324 0.7895205 0.174817665  fv      Gamma RP(P), Log-Normal    FALSE #> 5188   325 0.9089904 0.195887537  fv      Gamma RP(P), Log-Normal    FALSE #> 5204   326 0.8991867 0.194800348  fv      Gamma RP(P), Log-Normal    FALSE #> 5220   327 0.9354573 0.200972552  fv      Gamma RP(P), Log-Normal    FALSE #> 5236   328 1.4508772 0.321883010  fv      Gamma RP(P), Log-Normal    FALSE #> 5252   329 1.2389575 0.278410321  fv      Gamma RP(P), Log-Normal    FALSE #> 5268   330 0.9497564 0.208683102  fv      Gamma RP(P), Log-Normal    FALSE #> 5284   331 1.1348318 0.243830181  fv      Gamma RP(P), Log-Normal    FALSE #> 5300   332 0.7406454 0.165819274  fv      Gamma RP(P), Log-Normal    FALSE #> 5316   333 0.6882928 0.148784950  fv      Gamma RP(P), Log-Normal    FALSE #> 5332   334 1.3842558 0.296929851  fv      Gamma RP(P), Log-Normal    FALSE #> 5348   335 1.0741546 0.237337608  fv      Gamma RP(P), Log-Normal    FALSE #> 5364   336 0.6223286 0.139826644  fv      Gamma RP(P), Log-Normal    FALSE #> 5380   337 0.8436957 0.186307291  fv      Gamma RP(P), Log-Normal    FALSE #> 5396   338 0.7251021 0.154411004  fv      Gamma RP(P), Log-Normal    FALSE #> 5412   339 1.0911888 0.239706177  fv      Gamma RP(P), Log-Normal    FALSE #> 5428   340 1.1139385 0.259970148  fv      Gamma RP(P), Log-Normal    FALSE #> 5444   341 0.6722575 0.144746633  fv      Gamma RP(P), Log-Normal    FALSE #> 5460   342 0.5335198 0.115837477  fv      Gamma RP(P), Log-Normal    FALSE #> 5476   343 0.7759368 0.168497568  fv      Gamma RP(P), Log-Normal    FALSE #> 5492   344 1.3745439 0.304745479  fv      Gamma RP(P), Log-Normal    FALSE #> 5508   345 1.2019517 0.264238640  fv      Gamma RP(P), Log-Normal    FALSE #> 5524   346 1.0680673 0.228681184  fv      Gamma RP(P), Log-Normal    FALSE #> 5540   347 0.9424073 0.202173546  fv      Gamma RP(P), Log-Normal    FALSE #> 5556   348 1.4206305 0.311160176  fv      Gamma RP(P), Log-Normal    FALSE #> 5572   349 1.1631266 0.253819909  fv      Gamma RP(P), Log-Normal    FALSE #> 5588   350 1.0587565 0.227239061  fv      Gamma RP(P), Log-Normal    FALSE #> 5604   351 1.2314624 0.279628007  fv      Gamma RP(P), Log-Normal    FALSE #> 5620   352 1.1441911 0.257794647  fv      Gamma RP(P), Log-Normal    FALSE #> 5636   353 0.6759264 0.146595798  fv      Gamma RP(P), Log-Normal    FALSE #> 5652   354 0.9403395 0.204457172  fv      Gamma RP(P), Log-Normal    FALSE #> 5668   355 1.1145079 0.239429075  fv      Gamma RP(P), Log-Normal    FALSE #> 5684   356 1.0944187 0.241452823  fv      Gamma RP(P), Log-Normal    FALSE #> 5700   357 0.8472675 0.182834330  fv      Gamma RP(P), Log-Normal    FALSE #> 5716   358 0.8078994 0.171141015  fv      Gamma RP(P), Log-Normal    FALSE #> 5732   359 0.8715760 0.197056186  fv      Gamma RP(P), Log-Normal    FALSE #> 5748   360 0.7305572 0.157575039  fv      Gamma RP(P), Log-Normal    FALSE #> 5764   361 1.3093898 0.295995439  fv      Gamma RP(P), Log-Normal    FALSE #> 5780   362 0.5932042 0.128820637  fv      Gamma RP(P), Log-Normal    FALSE #> 5796   363 0.9537684 0.211563876  fv      Gamma RP(P), Log-Normal    FALSE #> 5812   364 0.6500835 0.143060235  fv      Gamma RP(P), Log-Normal    FALSE #> 5828   365 0.9988684 0.230090658  fv      Gamma RP(P), Log-Normal    FALSE #> 5844   366 1.2002573 0.268259798  fv      Gamma RP(P), Log-Normal    FALSE #> 5860   367 1.1732540 0.253572484  fv      Gamma RP(P), Log-Normal    FALSE #> 5876   368 1.1839640 0.274942607  fv      Gamma RP(P), Log-Normal    FALSE #> 5892   369 0.6725999 0.144571959  fv      Gamma RP(P), Log-Normal    FALSE #> 5908   370 0.6474614 0.141195590  fv      Gamma RP(P), Log-Normal    FALSE #> 5924   371 1.0778251 0.237098302  fv      Gamma RP(P), Log-Normal    FALSE #> 5940   372 0.7840598 0.178284497  fv      Gamma RP(P), Log-Normal    FALSE #> 5956   373 0.9240125 0.200650555  fv      Gamma RP(P), Log-Normal    FALSE #> 5972   374 0.7215876 0.154150935  fv      Gamma RP(P), Log-Normal    FALSE #> 5988   375 0.7472158 0.161834638  fv      Gamma RP(P), Log-Normal    FALSE #> 6004   376 0.7840256 0.168608101  fv      Gamma RP(P), Log-Normal    FALSE #> 6020   377 1.2063017 0.272271466  fv      Gamma RP(P), Log-Normal    FALSE #> 6036   378 1.0759738 0.232885696  fv      Gamma RP(P), Log-Normal    FALSE #> 6052   379 0.7991445 0.171767634  fv      Gamma RP(P), Log-Normal    FALSE #> 6068   380 0.9835843 0.213394452  fv      Gamma RP(P), Log-Normal    FALSE #> 6084   381 0.7117307 0.151443197  fv      Gamma RP(P), Log-Normal    FALSE #> 6100   382 0.9374011 0.204621752  fv      Gamma RP(P), Log-Normal    FALSE #> 6116   383 1.4564452 0.312580654  fv      Gamma RP(P), Log-Normal    FALSE #> 6132   384 1.1166026 0.243039524  fv      Gamma RP(P), Log-Normal    FALSE #> 6148   385 0.6950395 0.150883736  fv      Gamma RP(P), Log-Normal    FALSE #> 6164   386 0.4544464 0.102122826  fv      Gamma RP(P), Log-Normal    FALSE #> 6180   387 0.6941927 0.149352262  fv      Gamma RP(P), Log-Normal    FALSE #> 6196   388 0.8740749 0.189471295  fv      Gamma RP(P), Log-Normal    FALSE #> 6212   389 0.6379024 0.138928630  fv      Gamma RP(P), Log-Normal    FALSE #> 6228   390 0.7579377 0.165386684  fv      Gamma RP(P), Log-Normal    FALSE #> 6244   391 0.6208441 0.135164000  fv      Gamma RP(P), Log-Normal    FALSE #> 6260   392 1.1388947 0.243164287  fv      Gamma RP(P), Log-Normal    FALSE #> 6276   393 0.6777050 0.146669241  fv      Gamma RP(P), Log-Normal    FALSE #> 6292   394 1.2875572 0.285500045  fv      Gamma RP(P), Log-Normal    FALSE #> 6308   395 0.9594942 0.212902410  fv      Gamma RP(P), Log-Normal    FALSE #> 6324   396 0.9535688 0.214993979  fv      Gamma RP(P), Log-Normal    FALSE #> 6340   397 1.1170706 0.239961536  fv      Gamma RP(P), Log-Normal    FALSE #> 6356   398 0.9337227 0.201800746  fv      Gamma RP(P), Log-Normal    FALSE #> 6372   399 0.7611877 0.165402284  fv      Gamma RP(P), Log-Normal    FALSE #> 6388   400 0.8163529 0.177586051  fv      Gamma RP(P), Log-Normal    FALSE #> 6404   401 1.1755879 0.260480234  fv      Gamma RP(P), Log-Normal    FALSE #> 6420   402 0.8926168 0.200255305  fv      Gamma RP(P), Log-Normal    FALSE #> 6436   403 0.8545840 0.183751295  fv      Gamma RP(P), Log-Normal    FALSE #> 6452   404 1.1315518 0.257023968  fv      Gamma RP(P), Log-Normal    FALSE #> 6468   405 0.7711867 0.164072761  fv      Gamma RP(P), Log-Normal    FALSE #> 6484   406 0.7394725 0.158175027  fv      Gamma RP(P), Log-Normal    FALSE #> 6500   407 1.0465095 0.229942406  fv      Gamma RP(P), Log-Normal    FALSE #> 6516   408 0.6300849 0.149381842  fv      Gamma RP(P), Log-Normal    FALSE #> 6532   409 1.2759445 0.275964040  fv      Gamma RP(P), Log-Normal    FALSE #> 6548   410 1.4092819 0.317311958  fv      Gamma RP(P), Log-Normal    FALSE #> 6564   411 1.0991484 0.254405935  fv      Gamma RP(P), Log-Normal    FALSE #> 6580   412 0.8267034 0.177108154  fv      Gamma RP(P), Log-Normal    FALSE #> 6596   413 0.9031192 0.199459030  fv      Gamma RP(P), Log-Normal    FALSE #> 6612   414 0.8929692 0.192911734  fv      Gamma RP(P), Log-Normal    FALSE #> 6628   415 1.1226055 0.241604742  fv      Gamma RP(P), Log-Normal    FALSE #> 6644   416 0.7277533 0.157426254  fv      Gamma RP(P), Log-Normal    FALSE #> 6660   417 0.9685098 0.210134619  fv      Gamma RP(P), Log-Normal    FALSE #> 6676   418 0.9593147 0.209686673  fv      Gamma RP(P), Log-Normal    FALSE #> 6692   419 0.8180942 0.182657405  fv      Gamma RP(P), Log-Normal    FALSE #> 6708   420 1.1163400 0.250241104  fv      Gamma RP(P), Log-Normal    FALSE #> 6724   421 1.0662506 0.230681634  fv      Gamma RP(P), Log-Normal    FALSE #> 6740   422 0.9590765 0.208021402  fv      Gamma RP(P), Log-Normal    FALSE #> 6756   423 1.0631685 0.230888818  fv      Gamma RP(P), Log-Normal    FALSE #> 6772   424 0.9657118 0.217152814  fv      Gamma RP(P), Log-Normal    FALSE #> 6788   425 0.7349995 0.162179797  fv      Gamma RP(P), Log-Normal    FALSE #> 6804   426 1.2825616 0.279074728  fv      Gamma RP(P), Log-Normal    FALSE #> 6820   427 0.5095550 0.112703591  fv      Gamma RP(P), Log-Normal    FALSE #> 6836   428 1.4523732 0.327933855  fv      Gamma RP(P), Log-Normal    FALSE #> 6852   429 0.7978037 0.173408480  fv      Gamma RP(P), Log-Normal    FALSE #> 6868   430 0.6875011 0.147810346  fv      Gamma RP(P), Log-Normal    FALSE #> 6884   431 1.1006941 0.238750756  fv      Gamma RP(P), Log-Normal    FALSE #> 6900   432 0.6748862 0.147308411  fv      Gamma RP(P), Log-Normal    FALSE #> 6916   433 1.1282877 0.250568935  fv      Gamma RP(P), Log-Normal    FALSE #> 6932   434 1.2431724 0.265520208  fv      Gamma RP(P), Log-Normal    FALSE #> 6948   435 0.8078352 0.172249398  fv      Gamma RP(P), Log-Normal    FALSE #> 6964   436 1.2539909 0.282120990  fv      Gamma RP(P), Log-Normal    FALSE #> 6980   437 0.8230815 0.177122345  fv      Gamma RP(P), Log-Normal    FALSE #> 6996   438 0.6367504 0.141576527  fv      Gamma RP(P), Log-Normal    FALSE #> 7012   439 0.9345544 0.208661903  fv      Gamma RP(P), Log-Normal    FALSE #> 7028   440 0.8145396 0.174404632  fv      Gamma RP(P), Log-Normal    FALSE #> 7044   441 0.4963037 0.107331468  fv      Gamma RP(P), Log-Normal    FALSE #> 7060   442 0.9945112 0.210487712  fv      Gamma RP(P), Log-Normal    FALSE #> 7076   443 0.6687881 0.151032821  fv      Gamma RP(P), Log-Normal    FALSE #> 7092   444 0.8057132 0.174622153  fv      Gamma RP(P), Log-Normal    FALSE #> 7108   445 1.2113594 0.278671053  fv      Gamma RP(P), Log-Normal    FALSE #> 7124   446 1.0112616 0.219825528  fv      Gamma RP(P), Log-Normal    FALSE #> 7140   447 0.9580334 0.208122592  fv      Gamma RP(P), Log-Normal    FALSE #> 7156   448 1.0480268 0.231358840  fv      Gamma RP(P), Log-Normal    FALSE #> 7172   449 1.1654833 0.250305711  fv      Gamma RP(P), Log-Normal    FALSE #> 7188   450 0.7747101 0.164631434  fv      Gamma RP(P), Log-Normal    FALSE #> 7204   451 1.0778703 0.233850216  fv      Gamma RP(P), Log-Normal    FALSE #> 7220   452 0.6532856 0.142936025  fv      Gamma RP(P), Log-Normal    FALSE #> 7236   453 1.0354556 0.220201966  fv      Gamma RP(P), Log-Normal    FALSE #> 7252   454 0.8410267 0.188393838  fv      Gamma RP(P), Log-Normal    FALSE #> 7268   455 1.0590126 0.231017540  fv      Gamma RP(P), Log-Normal    FALSE #> 7284   456 1.1002554 0.239040113  fv      Gamma RP(P), Log-Normal    FALSE #> 7300   457 1.1113213 0.242020836  fv      Gamma RP(P), Log-Normal    FALSE #> 7316   458 1.2737451 0.283902711  fv      Gamma RP(P), Log-Normal    FALSE #> 7332   459 0.8741005 0.192529765  fv      Gamma RP(P), Log-Normal    FALSE #> 7348   460 0.8343565 0.185513409  fv      Gamma RP(P), Log-Normal    FALSE #> 7364   461 1.0413598 0.229681208  fv      Gamma RP(P), Log-Normal    FALSE #> 7380   462 1.4058311 0.313874121  fv      Gamma RP(P), Log-Normal    FALSE #> 7396   463 0.7385880 0.157268096  fv      Gamma RP(P), Log-Normal    FALSE #> 7412   464 0.6749140 0.150334899  fv      Gamma RP(P), Log-Normal    FALSE #> 7428   465 0.9372626 0.202416087  fv      Gamma RP(P), Log-Normal    FALSE #> 7444   466 1.0819470 0.240560277  fv      Gamma RP(P), Log-Normal    FALSE #> 7460   467 1.2583393 0.280960356  fv      Gamma RP(P), Log-Normal    FALSE #> 7476   468 0.6603316 0.141287880  fv      Gamma RP(P), Log-Normal    FALSE #> 7492   469 1.0850180 0.243295647  fv      Gamma RP(P), Log-Normal    FALSE #> 7508   470 0.9881027 0.210406927  fv      Gamma RP(P), Log-Normal    FALSE #> 7524   471 0.7454241 0.160990011  fv      Gamma RP(P), Log-Normal    FALSE #> 7540   472 1.1745015 0.256706796  fv      Gamma RP(P), Log-Normal    FALSE #> 7556   473 0.7959574 0.170031541  fv      Gamma RP(P), Log-Normal    FALSE #> 7572   474 0.7918319 0.177803843  fv      Gamma RP(P), Log-Normal    FALSE #> 7588   475 1.6522706 0.375398426  fv      Gamma RP(P), Log-Normal     TRUE #> 7604   476 0.6916373 0.152453433  fv      Gamma RP(P), Log-Normal    FALSE #> 7620   477 1.2375353 0.268085782  fv      Gamma RP(P), Log-Normal    FALSE #> 7636   478 0.9740985 0.216425920  fv      Gamma RP(P), Log-Normal    FALSE #> 7652   479 1.2632676 0.276699164  fv      Gamma RP(P), Log-Normal    FALSE #> 7668   480 1.0387783 0.230531068  fv      Gamma RP(P), Log-Normal    FALSE #> 7684   481 0.9091348 0.201095913  fv      Gamma RP(P), Log-Normal    FALSE #> 7700   482 0.8691584 0.198334797  fv      Gamma RP(P), Log-Normal    FALSE #> 7716   483 0.9225715 0.209461889  fv      Gamma RP(P), Log-Normal    FALSE #> 7732   484 0.9439964 0.201865531  fv      Gamma RP(P), Log-Normal    FALSE #> 7748   485 1.0052738 0.218556409  fv      Gamma RP(P), Log-Normal    FALSE #> 7764   486 0.7260035 0.159970767  fv      Gamma RP(P), Log-Normal    FALSE #> 7780   487 1.1001328 0.238315614  fv      Gamma RP(P), Log-Normal    FALSE #> 7796   488 0.9538392 0.216822184  fv      Gamma RP(P), Log-Normal    FALSE #> 7812   489 1.2501391 0.282675830  fv      Gamma RP(P), Log-Normal    FALSE #> 7828   490 1.6236317 0.352529801  fv      Gamma RP(P), Log-Normal     TRUE #> 7844   491 0.8316296 0.178919604  fv      Gamma RP(P), Log-Normal    FALSE #> 7860   492 1.2586735 0.281277951  fv      Gamma RP(P), Log-Normal    FALSE #> 7876   493 1.1213778 0.258755786  fv      Gamma RP(P), Log-Normal    FALSE #> 7892   494 0.8594317 0.184538921  fv      Gamma RP(P), Log-Normal    FALSE #> 7908   495 0.9649592 0.211567053  fv      Gamma RP(P), Log-Normal    FALSE #> 7924   496 0.6773521 0.150596337  fv      Gamma RP(P), Log-Normal    FALSE #> 7940   497 0.9052519 0.196094400  fv      Gamma RP(P), Log-Normal    FALSE #> 7956   498 0.8116850 0.178283650  fv      Gamma RP(P), Log-Normal    FALSE #> 7972   499 1.1086720 0.241326577  fv      Gamma RP(P), Log-Normal    FALSE #> 7988   500 1.2773651 0.281428323  fv      Gamma RP(P), Log-Normal    FALSE #> 8004   501 0.8676161 0.186252713  fv      Gamma RP(P), Log-Normal    FALSE #> 8020   502 1.0407176 0.226742031  fv      Gamma RP(P), Log-Normal    FALSE #> 8036   503 0.7548621 0.161416065  fv      Gamma RP(P), Log-Normal    FALSE #> 8052   504 1.2077979 0.258824089  fv      Gamma RP(P), Log-Normal    FALSE #> 8068   505 1.4398156 0.321294471  fv      Gamma RP(P), Log-Normal    FALSE #> 8084   506 0.8624584 0.186157457  fv      Gamma RP(P), Log-Normal    FALSE #> 8100   507 0.6802796 0.145481059  fv      Gamma RP(P), Log-Normal    FALSE #> 8116   508 0.8342436 0.181087868  fv      Gamma RP(P), Log-Normal    FALSE #> 8132   509 0.8612357 0.185773025  fv      Gamma RP(P), Log-Normal    FALSE #> 8148   510 1.0875058 0.231453325  fv      Gamma RP(P), Log-Normal    FALSE #> 8164   511 0.9780855 0.214288070  fv      Gamma RP(P), Log-Normal    FALSE #> 8180   512 0.9185424 0.195605141  fv      Gamma RP(P), Log-Normal    FALSE #> 8196   513 0.7742017 0.169231006  fv      Gamma RP(P), Log-Normal    FALSE #> 8212   514 0.9812394 0.218050507  fv      Gamma RP(P), Log-Normal    FALSE #> 8228   515 0.8492711 0.186072576  fv      Gamma RP(P), Log-Normal    FALSE #> 8244   516 1.0440155 0.231448528  fv      Gamma RP(P), Log-Normal    FALSE #> 8260   517 1.1390878 0.249921695  fv      Gamma RP(P), Log-Normal    FALSE #> 8276   518 1.2314535 0.263976453  fv      Gamma RP(P), Log-Normal    FALSE #> 8292   519 0.8741643 0.188132491  fv      Gamma RP(P), Log-Normal    FALSE #> 8308   520 0.7946016 0.172820195  fv      Gamma RP(P), Log-Normal    FALSE #> 8324   521 0.7155341 0.154658107  fv      Gamma RP(P), Log-Normal    FALSE #> 8340   522 0.6586910 0.142144906  fv      Gamma RP(P), Log-Normal    FALSE #> 8356   523 0.9070928 0.201961629  fv      Gamma RP(P), Log-Normal    FALSE #> 8372   524 0.7949849 0.175434365  fv      Gamma RP(P), Log-Normal    FALSE #> 8388   525 1.3355748 0.288021411  fv      Gamma RP(P), Log-Normal    FALSE #> 8404   526 1.1111854 0.243883438  fv      Gamma RP(P), Log-Normal    FALSE #> 8420   527 0.9980110 0.225250690  fv      Gamma RP(P), Log-Normal    FALSE #> 8436   528 0.7536701 0.165035815  fv      Gamma RP(P), Log-Normal    FALSE #> 8452   529 1.2088138 0.264226878  fv      Gamma RP(P), Log-Normal    FALSE #> 8468   530 1.3388039 0.295083388  fv      Gamma RP(P), Log-Normal    FALSE #> 8484   531 1.0765928 0.230423607  fv      Gamma RP(P), Log-Normal    FALSE #> 8500   532 1.1797360 0.260368744  fv      Gamma RP(P), Log-Normal    FALSE #> 8516   533 0.9477534 0.207558206  fv      Gamma RP(P), Log-Normal    FALSE #> 8532   534 1.0563309 0.227002868  fv      Gamma RP(P), Log-Normal    FALSE #> 8548   535 1.4357549 0.313963101  fv      Gamma RP(P), Log-Normal    FALSE #> 8564   536 1.0051141 0.212301508  fv      Gamma RP(P), Log-Normal    FALSE #> 8580   537 0.9940413 0.229846666  fv      Gamma RP(P), Log-Normal    FALSE #> 8596   538 0.7485919 0.163118834  fv      Gamma RP(P), Log-Normal    FALSE #> 8612   539 1.2009352 0.262424788  fv      Gamma RP(P), Log-Normal    FALSE #> 8628   540 1.0656493 0.243252483  fv      Gamma RP(P), Log-Normal    FALSE #> 8644   541 0.7818527 0.171862648  fv      Gamma RP(P), Log-Normal    FALSE #> 8660   542 1.0476007 0.225722387  fv      Gamma RP(P), Log-Normal    FALSE #> 8676   543 1.1371033 0.243339241  fv      Gamma RP(P), Log-Normal    FALSE #> 8692   544 1.0773876 0.231123459  fv      Gamma RP(P), Log-Normal    FALSE #> 8708   545 0.9565211 0.212700204  fv      Gamma RP(P), Log-Normal    FALSE #> 8724   546 0.7647347 0.163566244  fv      Gamma RP(P), Log-Normal    FALSE #> 8740   547 0.8206825 0.176359832  fv      Gamma RP(P), Log-Normal    FALSE #> 8756   548 0.8505963 0.192550911  fv      Gamma RP(P), Log-Normal    FALSE #> 8772   549 1.0358106 0.229635225  fv      Gamma RP(P), Log-Normal    FALSE #> 8788   550 1.3523884 0.318258072  fv      Gamma RP(P), Log-Normal    FALSE #> 8804   551 0.9140688 0.197916220  fv      Gamma RP(P), Log-Normal    FALSE #> 8820   552 0.7505092 0.167863310  fv      Gamma RP(P), Log-Normal    FALSE #> 8836   553 0.7462582 0.163755065  fv      Gamma RP(P), Log-Normal    FALSE #> 8852   554 0.9503633 0.210343956  fv      Gamma RP(P), Log-Normal    FALSE #> 8868   555 0.6745831 0.145777323  fv      Gamma RP(P), Log-Normal    FALSE #> 8884   556 0.6796815 0.149173569  fv      Gamma RP(P), Log-Normal    FALSE #> 8900   557 1.7294668 0.385290497  fv      Gamma RP(P), Log-Normal     TRUE #> 8916   558 1.0353587 0.226097195  fv      Gamma RP(P), Log-Normal    FALSE #> 8932   559 0.8016693 0.181657786  fv      Gamma RP(P), Log-Normal    FALSE #> 8948   560 0.9729378 0.214345554  fv      Gamma RP(P), Log-Normal    FALSE #> 8964   561 1.0321929 0.223653751  fv      Gamma RP(P), Log-Normal    FALSE #> 8980   562 0.5768487 0.127198483  fv      Gamma RP(P), Log-Normal    FALSE #> 8996   563 1.0433632 0.228621090  fv      Gamma RP(P), Log-Normal    FALSE #> 9012   564 1.0641236 0.228678050  fv      Gamma RP(P), Log-Normal    FALSE #> 9028   565 1.1732304 0.270298444  fv      Gamma RP(P), Log-Normal    FALSE #> 9044   566 1.2237949 0.268476490  fv      Gamma RP(P), Log-Normal    FALSE #> 9060   567 0.9843680 0.216254289  fv      Gamma RP(P), Log-Normal    FALSE #> 9076   568 1.0225418 0.226931553  fv      Gamma RP(P), Log-Normal    FALSE #> 9092   569 0.9425398 0.212381043  fv      Gamma RP(P), Log-Normal    FALSE #> 9108   570 0.9305842 0.201175459  fv      Gamma RP(P), Log-Normal    FALSE #> 9124   571 0.9345155 0.201116344  fv      Gamma RP(P), Log-Normal    FALSE #> 9140   572 1.1021244 0.234409464  fv      Gamma RP(P), Log-Normal    FALSE #> 9156   573 0.6234484 0.137000395  fv      Gamma RP(P), Log-Normal    FALSE #> 9172   574 1.1480059 0.255124057  fv      Gamma RP(P), Log-Normal    FALSE #> 9188   575 0.9620612 0.211148150  fv      Gamma RP(P), Log-Normal    FALSE #> 9204   576 1.0678341 0.238868687  fv      Gamma RP(P), Log-Normal    FALSE #> 9220   577 0.9150045 0.204456329  fv      Gamma RP(P), Log-Normal    FALSE #> 9236   578 0.9233870 0.200603592  fv      Gamma RP(P), Log-Normal    FALSE #> 9252   579 0.7994219 0.174027563  fv      Gamma RP(P), Log-Normal    FALSE #> 9268   580 0.8585172 0.187898896  fv      Gamma RP(P), Log-Normal    FALSE #> 9284   581 1.1376346 0.243722038  fv      Gamma RP(P), Log-Normal    FALSE #> 9300   582 0.5331588 0.116180181  fv      Gamma RP(P), Log-Normal    FALSE #> 9316   583 1.2227234 0.266819438  fv      Gamma RP(P), Log-Normal    FALSE #> 9332   584 0.7424917 0.162892931  fv      Gamma RP(P), Log-Normal    FALSE #> 9348   585 1.4718067 0.317670941  fv      Gamma RP(P), Log-Normal    FALSE #> 9364   586 1.3376029 0.285083541  fv      Gamma RP(P), Log-Normal    FALSE #> 9380   587 1.0466999 0.227298927  fv      Gamma RP(P), Log-Normal    FALSE #> 9396   588 1.0628152 0.236226350  fv      Gamma RP(P), Log-Normal    FALSE #> 9412   589 0.7456047 0.162916840  fv      Gamma RP(P), Log-Normal    FALSE #> 9428   590 0.8908216 0.194809140  fv      Gamma RP(P), Log-Normal    FALSE #> 9444   591 0.9844521 0.217603161  fv      Gamma RP(P), Log-Normal    FALSE #> 9460   592 1.2872132 0.280054795  fv      Gamma RP(P), Log-Normal    FALSE #> 9476   593 0.9145775 0.207193045  fv      Gamma RP(P), Log-Normal    FALSE #> 9492   594 0.9446292 0.210280528  fv      Gamma RP(P), Log-Normal    FALSE #> 9508   595 0.8683941 0.185769779  fv      Gamma RP(P), Log-Normal    FALSE #> 9524   596 1.2043136 0.260901489  fv      Gamma RP(P), Log-Normal    FALSE #> 9540   597 1.2713689 0.283428607  fv      Gamma RP(P), Log-Normal    FALSE #> 9556   598 1.0191519 0.221381269  fv      Gamma RP(P), Log-Normal    FALSE #> 9572   599 1.5192954 0.325918384  fv      Gamma RP(P), Log-Normal    FALSE #> 9588   600 1.3131604 0.281586578  fv      Gamma RP(P), Log-Normal    FALSE #> 9604   601 0.9717941 0.212607335  fv      Gamma RP(P), Log-Normal    FALSE #> 9620   602 1.1056106 0.248359854  fv      Gamma RP(P), Log-Normal    FALSE #> 9636   603 0.9020656 0.196090741  fv      Gamma RP(P), Log-Normal    FALSE #> 9652   604 1.2529459 0.293640836  fv      Gamma RP(P), Log-Normal    FALSE #> 9668   605 1.2259883 0.274240763  fv      Gamma RP(P), Log-Normal    FALSE #> 9684   606 1.0511216 0.228404129  fv      Gamma RP(P), Log-Normal    FALSE #> 9700   607 0.8190508 0.180281936  fv      Gamma RP(P), Log-Normal    FALSE #> 9716   608 1.0311424 0.221802458  fv      Gamma RP(P), Log-Normal    FALSE #> 9732   609 1.3455592 0.295910286  fv      Gamma RP(P), Log-Normal    FALSE #> 9748   610 1.1642916 0.254371166  fv      Gamma RP(P), Log-Normal    FALSE #> 9764   611 0.8758176 0.192522572  fv      Gamma RP(P), Log-Normal    FALSE #> 9780   612 1.2516100 0.272167401  fv      Gamma RP(P), Log-Normal    FALSE #> 9796   613 0.9097464 0.194713999  fv      Gamma RP(P), Log-Normal    FALSE #> 9812   614 0.8241780 0.176682356  fv      Gamma RP(P), Log-Normal    FALSE #> 9828   615 0.7807667 0.169402047  fv      Gamma RP(P), Log-Normal    FALSE #> 9844   616 1.3256338 0.290042297  fv      Gamma RP(P), Log-Normal    FALSE #> 9860   617 1.3554468 0.302421137  fv      Gamma RP(P), Log-Normal    FALSE #> 9876   618 0.7059805 0.153032728  fv      Gamma RP(P), Log-Normal    FALSE #> 9892   619 0.7640548 0.164327342  fv      Gamma RP(P), Log-Normal    FALSE #> 9908   620 0.9324604 0.205897957  fv      Gamma RP(P), Log-Normal    FALSE #> 9924   621 1.0897527 0.237414370  fv      Gamma RP(P), Log-Normal    FALSE #> 9940   622 1.6936806 0.371698035  fv      Gamma RP(P), Log-Normal     TRUE #> 9956   623 0.6527658 0.139972359  fv      Gamma RP(P), Log-Normal    FALSE #> 9972   624 0.9466176 0.203085311  fv      Gamma RP(P), Log-Normal    FALSE #> 9988   625 0.9681196 0.214775219  fv      Gamma RP(P), Log-Normal    FALSE #> 10004  626 0.6523744 0.142834891  fv      Gamma RP(P), Log-Normal    FALSE #> 10020  627 0.8021879 0.184418783  fv      Gamma RP(P), Log-Normal    FALSE #> 10036  628 0.9225400 0.197465937  fv      Gamma RP(P), Log-Normal    FALSE #> 10052  629 0.7501559 0.167348318  fv      Gamma RP(P), Log-Normal    FALSE #> 10068  630 1.0706745 0.227798971  fv      Gamma RP(P), Log-Normal    FALSE #> 10084  631 1.2827158 0.297285469  fv      Gamma RP(P), Log-Normal    FALSE #> 10100  632 0.6876342 0.149439809  fv      Gamma RP(P), Log-Normal    FALSE #> 10116  633 0.7028224 0.154619674  fv      Gamma RP(P), Log-Normal    FALSE #> 10132  634 0.7042120 0.153299268  fv      Gamma RP(P), Log-Normal    FALSE #> 10148  635 0.5541380 0.122244773  fv      Gamma RP(P), Log-Normal    FALSE #> 10164  636 0.8544896 0.190728571  fv      Gamma RP(P), Log-Normal    FALSE #> 10180  637 0.9603207 0.207191756  fv      Gamma RP(P), Log-Normal    FALSE #> 10196  638 0.7983102 0.182031114  fv      Gamma RP(P), Log-Normal    FALSE #> 10212  639 0.8838410 0.190983119  fv      Gamma RP(P), Log-Normal    FALSE #> 10228  640 0.6961483 0.152110407  fv      Gamma RP(P), Log-Normal    FALSE #> 10244  641 0.8369696 0.179150999  fv      Gamma RP(P), Log-Normal    FALSE #> 10260  642 0.9306106 0.205637032  fv      Gamma RP(P), Log-Normal    FALSE #> 10276  643 0.8113072 0.177171734  fv      Gamma RP(P), Log-Normal    FALSE #> 10292  644 1.3693170 0.317286312  fv      Gamma RP(P), Log-Normal    FALSE #> 10308  645 0.6575557 0.143623229  fv      Gamma RP(P), Log-Normal    FALSE #> 10324  646 0.7264648 0.160017681  fv      Gamma RP(P), Log-Normal    FALSE #> 10340  647 1.8140427 0.405472844  fv      Gamma RP(P), Log-Normal     TRUE #> 10356  648 0.9039734 0.192803400  fv      Gamma RP(P), Log-Normal    FALSE #> 10372  649 1.1307165 0.245793699  fv      Gamma RP(P), Log-Normal    FALSE #> 10388  650 1.3697853 0.300532613  fv      Gamma RP(P), Log-Normal    FALSE #> 10404  651 1.3913723 0.303438110  fv      Gamma RP(P), Log-Normal    FALSE #> 10420  652 0.9976010 0.218156662  fv      Gamma RP(P), Log-Normal    FALSE #> 10436  653 1.3997037 0.316519464  fv      Gamma RP(P), Log-Normal    FALSE #> 10452  654 0.7512885 0.164131512  fv      Gamma RP(P), Log-Normal    FALSE #> 10468  655 0.8184646 0.175458083  fv      Gamma RP(P), Log-Normal    FALSE #> 10484  656 0.9856965 0.213573425  fv      Gamma RP(P), Log-Normal    FALSE #> 10500  657 0.9542220 0.209937231  fv      Gamma RP(P), Log-Normal    FALSE #> 10516  658 1.0526322 0.230309237  fv      Gamma RP(P), Log-Normal    FALSE #> 10532  659 1.1040578 0.242269392  fv      Gamma RP(P), Log-Normal    FALSE #> 10548  660 1.1274148 0.257234161  fv      Gamma RP(P), Log-Normal    FALSE #> 10564  661 0.8272565 0.181590492  fv      Gamma RP(P), Log-Normal    FALSE #> 10580  662 0.5442579 0.118095785  fv      Gamma RP(P), Log-Normal    FALSE #> 10596  663 0.7790189 0.168677889  fv      Gamma RP(P), Log-Normal    FALSE #> 10612  664 0.9338401 0.199297546  fv      Gamma RP(P), Log-Normal    FALSE #> 10628  665 0.9666500 0.213744208  fv      Gamma RP(P), Log-Normal    FALSE #> 10644  666 0.9744446 0.220001257  fv      Gamma RP(P), Log-Normal    FALSE #> 10660  667 1.1828443 0.261467314  fv      Gamma RP(P), Log-Normal    FALSE #> 10676  668 1.2192520 0.274526839  fv      Gamma RP(P), Log-Normal    FALSE #> 10692  669 0.7113574 0.156924713  fv      Gamma RP(P), Log-Normal    FALSE #> 10708  670 1.1756310 0.262566467  fv      Gamma RP(P), Log-Normal    FALSE #> 10724  671 1.2383003 0.270216646  fv      Gamma RP(P), Log-Normal    FALSE #> 10740  672 0.7815664 0.169986858  fv      Gamma RP(P), Log-Normal    FALSE #> 10756  673 0.8229793 0.176870677  fv      Gamma RP(P), Log-Normal    FALSE #> 10772  674 1.3774475 0.311832718  fv      Gamma RP(P), Log-Normal    FALSE #> 10788  675 0.9621601 0.207902235  fv      Gamma RP(P), Log-Normal    FALSE #> 10804  676 0.6528028 0.150614959  fv      Gamma RP(P), Log-Normal    FALSE #> 10820  677 0.8233554 0.177246238  fv      Gamma RP(P), Log-Normal    FALSE #> 10836  678 1.1489514 0.253442670  fv      Gamma RP(P), Log-Normal    FALSE #> 10852  679 1.4208344 0.311543201  fv      Gamma RP(P), Log-Normal    FALSE #> 10868  680 1.0054416 0.232372166  fv      Gamma RP(P), Log-Normal    FALSE #> 10884  681 0.7391488 0.162759723  fv      Gamma RP(P), Log-Normal    FALSE #> 10900  682 0.9652976 0.207135311  fv      Gamma RP(P), Log-Normal    FALSE #> 10916  683 1.1870484 0.264442808  fv      Gamma RP(P), Log-Normal    FALSE #> 10932  684 1.2401849 0.268198690  fv      Gamma RP(P), Log-Normal    FALSE #> 10948  685 0.8596652 0.187197015  fv      Gamma RP(P), Log-Normal    FALSE #> 10964  686 0.6571789 0.143054753  fv      Gamma RP(P), Log-Normal    FALSE #> 10980  687 1.3996390 0.301433070  fv      Gamma RP(P), Log-Normal    FALSE #> 10996  688 0.9489165 0.205546007  fv      Gamma RP(P), Log-Normal    FALSE #> 11012  689 0.8114256 0.172547414  fv      Gamma RP(P), Log-Normal    FALSE #> 11028  690 1.2437062 0.265491213  fv      Gamma RP(P), Log-Normal    FALSE #> 11044  691 1.0092470 0.219771733  fv      Gamma RP(P), Log-Normal    FALSE #> 11060  692 0.9598097 0.205613691  fv      Gamma RP(P), Log-Normal    FALSE #> 11076  693 1.3113167 0.296323950  fv      Gamma RP(P), Log-Normal    FALSE #> 11092  694 1.0933889 0.242376514  fv      Gamma RP(P), Log-Normal    FALSE #> 11108  695 1.0333338 0.234007271  fv      Gamma RP(P), Log-Normal    FALSE #> 11124  696 1.0102497 0.229737838  fv      Gamma RP(P), Log-Normal    FALSE #> 11140  697 1.0358479 0.225442770  fv      Gamma RP(P), Log-Normal    FALSE #> 11156  698 1.0073535 0.220756703  fv      Gamma RP(P), Log-Normal    FALSE #> 11172  699 0.9466231 0.201809941  fv      Gamma RP(P), Log-Normal    FALSE #> 11188  700 1.6203374 0.346406720  fv      Gamma RP(P), Log-Normal     TRUE #> 11204  701 0.8178477 0.176518370  fv      Gamma RP(P), Log-Normal    FALSE #> 11220  702 0.8281316 0.185009839  fv      Gamma RP(P), Log-Normal    FALSE #> 11236  703 0.7131766 0.156512821  fv      Gamma RP(P), Log-Normal    FALSE #> 11252  704 1.2908383 0.275089666  fv      Gamma RP(P), Log-Normal    FALSE #> 11268  705 1.4435519 0.314942107  fv      Gamma RP(P), Log-Normal    FALSE #> 11284  706 1.0319566 0.223149598  fv      Gamma RP(P), Log-Normal    FALSE #> 11300  707 0.7611768 0.169895358  fv      Gamma RP(P), Log-Normal    FALSE #> 11316  708 1.1576638 0.261635419  fv      Gamma RP(P), Log-Normal    FALSE #> 11332  709 0.9334649 0.200133791  fv      Gamma RP(P), Log-Normal    FALSE #> 11348  710 0.9774021 0.208540201  fv      Gamma RP(P), Log-Normal    FALSE #> 11364  711 0.4418561 0.097246388  fv      Gamma RP(P), Log-Normal    FALSE #> 11380  712 0.9598169 0.208774489  fv      Gamma RP(P), Log-Normal    FALSE #> 11396  713 1.0013023 0.213927288  fv      Gamma RP(P), Log-Normal    FALSE #> 11412  714 1.2931185 0.294648103  fv      Gamma RP(P), Log-Normal    FALSE #> 11428  715 1.3871912 0.304898248  fv      Gamma RP(P), Log-Normal    FALSE #> 11444  716 1.0762644 0.237239678  fv      Gamma RP(P), Log-Normal    FALSE #> 11460  717 0.8472068 0.196043062  fv      Gamma RP(P), Log-Normal    FALSE #> 11476  718 1.0140154 0.225564166  fv      Gamma RP(P), Log-Normal    FALSE #> 11492  719 0.7918815 0.168968345  fv      Gamma RP(P), Log-Normal    FALSE #> 11508  720 0.8275318 0.180171933  fv      Gamma RP(P), Log-Normal    FALSE #> 11524  721 1.0706093 0.233121948  fv      Gamma RP(P), Log-Normal    FALSE #> 11540  722 1.2852624 0.283010838  fv      Gamma RP(P), Log-Normal    FALSE #> 11556  723 1.0671711 0.239730437  fv      Gamma RP(P), Log-Normal    FALSE #> 11572  724 0.7945824 0.172668400  fv      Gamma RP(P), Log-Normal    FALSE #> 11588  725 0.8761793 0.190162437  fv      Gamma RP(P), Log-Normal    FALSE #> 11604  726 0.7683224 0.169454349  fv      Gamma RP(P), Log-Normal    FALSE #> 11620  727 1.1401463 0.252371583  fv      Gamma RP(P), Log-Normal    FALSE #> 11636  728 0.6869455 0.156140309  fv      Gamma RP(P), Log-Normal    FALSE #> 11652  729 1.0045609 0.214384308  fv      Gamma RP(P), Log-Normal    FALSE #> 11668  730 1.3739350 0.314933136  fv      Gamma RP(P), Log-Normal    FALSE #> 11684  731 1.4105734 0.312439279  fv      Gamma RP(P), Log-Normal    FALSE #> 11700  732 1.2408039 0.265123430  fv      Gamma RP(P), Log-Normal    FALSE #> 11716  733 0.7434313 0.162871630  fv      Gamma RP(P), Log-Normal    FALSE #> 11732  734 0.7670277 0.169974871  fv      Gamma RP(P), Log-Normal    FALSE #> 11748  735 1.1391446 0.249095776  fv      Gamma RP(P), Log-Normal    FALSE #> 11764  736 1.0869389 0.241739791  fv      Gamma RP(P), Log-Normal    FALSE #> 11780  737 0.9900843 0.215836490  fv      Gamma RP(P), Log-Normal    FALSE #> 11796  738 0.8400574 0.198380530  fv      Gamma RP(P), Log-Normal    FALSE #> 11812  739 0.9098679 0.198083628  fv      Gamma RP(P), Log-Normal    FALSE #> 11828  740 0.8715673 0.188184780  fv      Gamma RP(P), Log-Normal    FALSE #> 11844  741 1.0522008 0.231884466  fv      Gamma RP(P), Log-Normal    FALSE #> 11860  742 0.7308650 0.157131775  fv      Gamma RP(P), Log-Normal    FALSE #> 11876  743 1.0840980 0.236451512  fv      Gamma RP(P), Log-Normal    FALSE #> 11892  744 1.4346874 0.319759809  fv      Gamma RP(P), Log-Normal    FALSE #> 11908  745 0.8684263 0.196492889  fv      Gamma RP(P), Log-Normal    FALSE #> 11924  746 0.5042351 0.108711465  fv      Gamma RP(P), Log-Normal    FALSE #> 11940  747 0.8521053 0.186267508  fv      Gamma RP(P), Log-Normal    FALSE #> 11956  748 1.0776501 0.229694112  fv      Gamma RP(P), Log-Normal    FALSE #> 11972  749 0.8956342 0.198659923  fv      Gamma RP(P), Log-Normal    FALSE #> 11988  750 0.6991894 0.151825792  fv      Gamma RP(P), Log-Normal    FALSE #> 12004  751 1.1707087 0.250296870  fv      Gamma RP(P), Log-Normal    FALSE #> 12020  752 1.0602200 0.230669899  fv      Gamma RP(P), Log-Normal    FALSE #> 12036  753 0.7372900 0.163529975  fv      Gamma RP(P), Log-Normal    FALSE #> 12052  754 1.0951085 0.238851460  fv      Gamma RP(P), Log-Normal    FALSE #> 12068  755 0.9993447 0.215552225  fv      Gamma RP(P), Log-Normal    FALSE #> 12084  756 1.5740582 0.337943971  fv      Gamma RP(P), Log-Normal    FALSE #> 12100  757 0.7728525 0.169474840  fv      Gamma RP(P), Log-Normal    FALSE #> 12116  758 0.6452476 0.140301410  fv      Gamma RP(P), Log-Normal    FALSE #> 12132  759 0.7901227 0.171488061  fv      Gamma RP(P), Log-Normal    FALSE #> 12148  760 0.7639433 0.164920427  fv      Gamma RP(P), Log-Normal    FALSE #> 12164  761 1.0515490 0.232290105  fv      Gamma RP(P), Log-Normal    FALSE #> 12180  762 0.8354865 0.180633162  fv      Gamma RP(P), Log-Normal    FALSE #> 12196  763 0.7587626 0.164916919  fv      Gamma RP(P), Log-Normal    FALSE #> 12212  764 0.9886533 0.219427415  fv      Gamma RP(P), Log-Normal    FALSE #> 12228  765 0.7802736 0.170307432  fv      Gamma RP(P), Log-Normal    FALSE #> 12244  766 0.6561777 0.142009060  fv      Gamma RP(P), Log-Normal    FALSE #> 12260  767 0.9769743 0.213573667  fv      Gamma RP(P), Log-Normal    FALSE #> 12276  768 1.0293469 0.224440289  fv      Gamma RP(P), Log-Normal    FALSE #> 12292  769 1.0177818 0.217646319  fv      Gamma RP(P), Log-Normal    FALSE #> 12308  770 0.7562416 0.168946252  fv      Gamma RP(P), Log-Normal    FALSE #> 12324  771 0.6463465 0.139187794  fv      Gamma RP(P), Log-Normal    FALSE #> 12340  772 1.1961842 0.271932662  fv      Gamma RP(P), Log-Normal    FALSE #> 12356  773 0.8067420 0.176962096  fv      Gamma RP(P), Log-Normal    FALSE #> 12372  774 0.9520088 0.205128560  fv      Gamma RP(P), Log-Normal    FALSE #> 12388  775 1.4347408 0.319703347  fv      Gamma RP(P), Log-Normal    FALSE #> 12404  776 0.9481417 0.202311942  fv      Gamma RP(P), Log-Normal    FALSE #> 12420  777 0.8016802 0.175031737  fv      Gamma RP(P), Log-Normal    FALSE #> 12436  778 1.1275293 0.249908367  fv      Gamma RP(P), Log-Normal    FALSE #> 12452  779 1.1870282 0.261537316  fv      Gamma RP(P), Log-Normal    FALSE #> 12468  780 1.1268945 0.249877221  fv      Gamma RP(P), Log-Normal    FALSE #> 12484  781 0.8099723 0.181662555  fv      Gamma RP(P), Log-Normal    FALSE #> 12500  782 0.9387734 0.218754552  fv      Gamma RP(P), Log-Normal    FALSE #> 12516  783 0.9578883 0.204613312  fv      Gamma RP(P), Log-Normal    FALSE #> 12532  784 0.8156845 0.174404492  fv      Gamma RP(P), Log-Normal    FALSE #> 12548  785 0.8247289 0.177841946  fv      Gamma RP(P), Log-Normal    FALSE #> 12564  786 1.0226574 0.217558799  fv      Gamma RP(P), Log-Normal    FALSE #> 12580  787 1.2335064 0.284150031  fv      Gamma RP(P), Log-Normal    FALSE #> 12596  788 1.0013196 0.221958849  fv      Gamma RP(P), Log-Normal    FALSE #> 12612  789 1.0288684 0.227267275  fv      Gamma RP(P), Log-Normal    FALSE #> 12628  790 1.3948807 0.318147375  fv      Gamma RP(P), Log-Normal    FALSE #> 12644  791 1.2962548 0.289253927  fv      Gamma RP(P), Log-Normal    FALSE #> 12660  792 1.3337738 0.290805393  fv      Gamma RP(P), Log-Normal    FALSE #> 12676  793 0.8720682 0.188928270  fv      Gamma RP(P), Log-Normal    FALSE #> 12692  794 0.4682845 0.102407124  fv      Gamma RP(P), Log-Normal    FALSE #> 12708  795 0.9519556 0.210182873  fv      Gamma RP(P), Log-Normal    FALSE #> 12724  796 1.0864968 0.238092719  fv      Gamma RP(P), Log-Normal    FALSE #> 12740  797 0.7159644 0.155862128  fv      Gamma RP(P), Log-Normal    FALSE #> 12756  798 0.7497156 0.165610200  fv      Gamma RP(P), Log-Normal    FALSE #> 12772  799 1.4945789 0.345846891  fv      Gamma RP(P), Log-Normal    FALSE #> 12788  800 1.2630625 0.274880885  fv      Gamma RP(P), Log-Normal    FALSE #> 12804  801 0.7800030 0.172871017  fv      Gamma RP(P), Log-Normal    FALSE #> 12820  802 0.8108326 0.174897662  fv      Gamma RP(P), Log-Normal    FALSE #> 12836  803 0.9512588 0.202956493  fv      Gamma RP(P), Log-Normal    FALSE #> 12852  804 1.0362523 0.225794955  fv      Gamma RP(P), Log-Normal    FALSE #> 12868  805 0.9811922 0.212636632  fv      Gamma RP(P), Log-Normal    FALSE #> 12884  806 0.7326683 0.158761559  fv      Gamma RP(P), Log-Normal    FALSE #> 12900  807 1.2740750 0.276544259  fv      Gamma RP(P), Log-Normal    FALSE #> 12916  808 0.9781884 0.222359075  fv      Gamma RP(P), Log-Normal    FALSE #> 12932  809 1.3453651 0.309478390  fv      Gamma RP(P), Log-Normal    FALSE #> 12948  810 0.9232016 0.196664367  fv      Gamma RP(P), Log-Normal    FALSE #> 12964  811 1.3197955 0.283396132  fv      Gamma RP(P), Log-Normal    FALSE #> 12980  812 0.8368495 0.182262628  fv      Gamma RP(P), Log-Normal    FALSE #> 12996  813 1.1692435 0.253391788  fv      Gamma RP(P), Log-Normal    FALSE #> 13012  814 0.9869950 0.215275425  fv      Gamma RP(P), Log-Normal    FALSE #> 13028  815 1.4267797 0.314102008  fv      Gamma RP(P), Log-Normal    FALSE #> 13044  816 0.7096351 0.156897106  fv      Gamma RP(P), Log-Normal    FALSE #> 13060  817 1.2207826 0.279563602  fv      Gamma RP(P), Log-Normal    FALSE #> 13076  818 0.8781833 0.195168438  fv      Gamma RP(P), Log-Normal    FALSE #> 13092  819 1.3528171 0.307115701  fv      Gamma RP(P), Log-Normal    FALSE #> 13108  820 0.8750937 0.190140123  fv      Gamma RP(P), Log-Normal    FALSE #> 13124  821 1.0024784 0.225742050  fv      Gamma RP(P), Log-Normal    FALSE #> 13140  822 0.6059361 0.130452065  fv      Gamma RP(P), Log-Normal    FALSE #> 13156  823 1.0219096 0.227328071  fv      Gamma RP(P), Log-Normal    FALSE #> 13172  824 0.9918559 0.217538890  fv      Gamma RP(P), Log-Normal    FALSE #> 13188  825 0.6366212 0.136266805  fv      Gamma RP(P), Log-Normal    FALSE #> 13204  826 0.9444450 0.201370921  fv      Gamma RP(P), Log-Normal    FALSE #> 13220  827 0.9275230 0.201228122  fv      Gamma RP(P), Log-Normal    FALSE #> 13236  828 1.4648905 0.331911086  fv      Gamma RP(P), Log-Normal    FALSE #> 13252  829 0.7088462 0.152408167  fv      Gamma RP(P), Log-Normal    FALSE #> 13268  830 1.2836749 0.282634446  fv      Gamma RP(P), Log-Normal    FALSE #> 13284  831 0.7178710 0.163143070  fv      Gamma RP(P), Log-Normal    FALSE #> 13300  832 0.8691501 0.185987043  fv      Gamma RP(P), Log-Normal    FALSE #> 13316  833 0.9918025 0.216794384  fv      Gamma RP(P), Log-Normal    FALSE #> 13332  834 0.6561897 0.145029001  fv      Gamma RP(P), Log-Normal    FALSE #> 13348  835 0.9531690 0.206507185  fv      Gamma RP(P), Log-Normal    FALSE #> 13364  836 0.9457929 0.208627065  fv      Gamma RP(P), Log-Normal    FALSE #> 13380  837 0.9604259 0.214827897  fv      Gamma RP(P), Log-Normal    FALSE #> 13396  838 1.2231002 0.262948896  fv      Gamma RP(P), Log-Normal    FALSE #> 13412  839 0.7639873 0.164814888  fv      Gamma RP(P), Log-Normal    FALSE #> 13428  840 1.0584085 0.233394444  fv      Gamma RP(P), Log-Normal    FALSE #> 13444  841 0.9060566 0.191644127  fv      Gamma RP(P), Log-Normal    FALSE #> 13460  842 0.9981854 0.222833868  fv      Gamma RP(P), Log-Normal    FALSE #> 13476  843 1.3271882 0.294385787  fv      Gamma RP(P), Log-Normal    FALSE #> 13492  844 1.0083776 0.222785765  fv      Gamma RP(P), Log-Normal    FALSE #> 13508  845 1.4067028 0.311118514  fv      Gamma RP(P), Log-Normal    FALSE #> 13524  846 0.8457063 0.189664761  fv      Gamma RP(P), Log-Normal    FALSE #> 13540  847 0.8266072 0.185765621  fv      Gamma RP(P), Log-Normal    FALSE #> 13556  848 0.5911078 0.127933794  fv      Gamma RP(P), Log-Normal    FALSE #> 13572  849 0.9435684 0.200827455  fv      Gamma RP(P), Log-Normal    FALSE #> 13588  850 0.8421106 0.180835192  fv      Gamma RP(P), Log-Normal    FALSE #> 13604  851 0.9838631 0.215975837  fv      Gamma RP(P), Log-Normal    FALSE #> 13620  852 0.5626470 0.122791446  fv      Gamma RP(P), Log-Normal    FALSE #> 13636  853 0.9664855 0.207250226  fv      Gamma RP(P), Log-Normal    FALSE #> 13652  854 0.7210802 0.158669568  fv      Gamma RP(P), Log-Normal    FALSE #> 13668  855 1.2549558 0.273909144  fv      Gamma RP(P), Log-Normal    FALSE #> 13684  856 1.0890084 0.235216876  fv      Gamma RP(P), Log-Normal    FALSE #> 13700  857 0.7349918 0.162187111  fv      Gamma RP(P), Log-Normal    FALSE #> 13716  858 0.8738882 0.193200988  fv      Gamma RP(P), Log-Normal    FALSE #> 13732  859 0.8725583 0.195344571  fv      Gamma RP(P), Log-Normal    FALSE #> 13748  860 0.7565733 0.161739089  fv      Gamma RP(P), Log-Normal    FALSE #> 13764  861 1.1321227 0.246524283  fv      Gamma RP(P), Log-Normal    FALSE #> 13780  862 0.8393021 0.180926336  fv      Gamma RP(P), Log-Normal    FALSE #> 13796  863 1.0161557 0.222141368  fv      Gamma RP(P), Log-Normal    FALSE #> 13812  864 0.9572296 0.210418635  fv      Gamma RP(P), Log-Normal    FALSE #> 13828  865 1.0152870 0.222102537  fv      Gamma RP(P), Log-Normal    FALSE #> 13844  866 0.7984746 0.170205293  fv      Gamma RP(P), Log-Normal    FALSE #> 13860  867 0.9096029 0.196759398  fv      Gamma RP(P), Log-Normal    FALSE #> 13876  868 0.9705552 0.210115673  fv      Gamma RP(P), Log-Normal    FALSE #> 13892  869 1.0294965 0.226495818  fv      Gamma RP(P), Log-Normal    FALSE #> 13908  870 0.9585866 0.217548683  fv      Gamma RP(P), Log-Normal    FALSE #> 13924  871 1.2540751 0.273750013  fv      Gamma RP(P), Log-Normal    FALSE #> 13940  872 1.3178539 0.292907644  fv      Gamma RP(P), Log-Normal    FALSE #> 13956  873 1.1780594 0.254082562  fv      Gamma RP(P), Log-Normal    FALSE #> 13972  874 1.5369549 0.349989569  fv      Gamma RP(P), Log-Normal    FALSE #> 13988  875 0.7606339 0.164512020  fv      Gamma RP(P), Log-Normal    FALSE #> 14004  876 0.8818046 0.191259261  fv      Gamma RP(P), Log-Normal    FALSE #> 14020  877 1.0016215 0.217910809  fv      Gamma RP(P), Log-Normal    FALSE #> 14036  878 1.0960247 0.243448439  fv      Gamma RP(P), Log-Normal    FALSE #> 14052  879 0.9010159 0.208415640  fv      Gamma RP(P), Log-Normal    FALSE #> 14068  880 1.4167836 0.309960875  fv      Gamma RP(P), Log-Normal    FALSE #> 14084  881 1.1367712 0.251722155  fv      Gamma RP(P), Log-Normal    FALSE #> 14100  882 1.2721470 0.272715293  fv      Gamma RP(P), Log-Normal    FALSE #> 14116  883 0.7534025 0.164687938  fv      Gamma RP(P), Log-Normal    FALSE #> 14132  884 0.7895471 0.169947985  fv      Gamma RP(P), Log-Normal    FALSE #> 14148  885 0.7598150 0.165598184  fv      Gamma RP(P), Log-Normal    FALSE #> 14164  886 0.7546992 0.165577188  fv      Gamma RP(P), Log-Normal    FALSE #> 14180  887 0.9464325 0.207391951  fv      Gamma RP(P), Log-Normal    FALSE #> 14196  888 1.3249936 0.285528452  fv      Gamma RP(P), Log-Normal    FALSE #> 14212  889 1.0483529 0.223855961  fv      Gamma RP(P), Log-Normal    FALSE #> 14228  890 0.7960197 0.175686722  fv      Gamma RP(P), Log-Normal    FALSE #> 14244  891 0.6057941 0.129842155  fv      Gamma RP(P), Log-Normal    FALSE #> 14260  892 0.9117945 0.197815689  fv      Gamma RP(P), Log-Normal    FALSE #> 14276  893 1.1931191 0.269494148  fv      Gamma RP(P), Log-Normal    FALSE #> 14292  894 0.7163861 0.156284310  fv      Gamma RP(P), Log-Normal    FALSE #> 14308  895 0.8521234 0.181727642  fv      Gamma RP(P), Log-Normal    FALSE #> 14324  896 1.1969657 0.257466332  fv      Gamma RP(P), Log-Normal    FALSE #> 14340  897 0.8738869 0.187008230  fv      Gamma RP(P), Log-Normal    FALSE #> 14356  898 1.1901902 0.254087597  fv      Gamma RP(P), Log-Normal    FALSE #> 14372  899 1.0493014 0.231872092  fv      Gamma RP(P), Log-Normal    FALSE #> 14388  900 1.1641367 0.259296079  fv      Gamma RP(P), Log-Normal    FALSE #> 14404  901 0.7441833 0.162379902  fv      Gamma RP(P), Log-Normal    FALSE #> 14420  902 0.7006841 0.150598713  fv      Gamma RP(P), Log-Normal    FALSE #> 14436  903 0.7852252 0.167720028  fv      Gamma RP(P), Log-Normal    FALSE #> 14452  904 1.5979510 0.368445748  fv      Gamma RP(P), Log-Normal     TRUE #> 14468  905 0.7930490 0.170065240  fv      Gamma RP(P), Log-Normal    FALSE #> 14484  906 1.3977134 0.301200536  fv      Gamma RP(P), Log-Normal    FALSE #> 14500  907 1.0303398 0.225804461  fv      Gamma RP(P), Log-Normal    FALSE #> 14516  908 0.8813457 0.201251276  fv      Gamma RP(P), Log-Normal    FALSE #> 14532  909 0.7644669 0.167107442  fv      Gamma RP(P), Log-Normal    FALSE #> 14548  910 0.6744757 0.145971855  fv      Gamma RP(P), Log-Normal    FALSE #> 14564  911 0.9481477 0.214870715  fv      Gamma RP(P), Log-Normal    FALSE #> 14580  912 0.6898847 0.148216456  fv      Gamma RP(P), Log-Normal    FALSE #> 14596  913 0.9740810 0.210880647  fv      Gamma RP(P), Log-Normal    FALSE #> 14612  914 0.8619948 0.192708186  fv      Gamma RP(P), Log-Normal    FALSE #> 14628  915 1.1804584 0.260025660  fv      Gamma RP(P), Log-Normal    FALSE #> 14644  916 0.6691827 0.144375958  fv      Gamma RP(P), Log-Normal    FALSE #> 14660  917 1.0113326 0.222850102  fv      Gamma RP(P), Log-Normal    FALSE #> 14676  918 1.0209571 0.217855650  fv      Gamma RP(P), Log-Normal    FALSE #> 14692  919 0.6796905 0.145360386  fv      Gamma RP(P), Log-Normal    FALSE #> 14708  920 0.9871577 0.211586286  fv      Gamma RP(P), Log-Normal    FALSE #> 14724  921 1.1250715 0.248801866  fv      Gamma RP(P), Log-Normal    FALSE #> 14740  922 1.6097787 0.362204329  fv      Gamma RP(P), Log-Normal     TRUE #> 14756  923 0.9436780 0.203595015  fv      Gamma RP(P), Log-Normal    FALSE #> 14772  924 0.9564219 0.203337756  fv      Gamma RP(P), Log-Normal    FALSE #> 14788  925 1.2119817 0.273392844  fv      Gamma RP(P), Log-Normal    FALSE #> 14804  926 0.9400838 0.200647180  fv      Gamma RP(P), Log-Normal    FALSE #> 14820  927 0.5509122 0.120006203  fv      Gamma RP(P), Log-Normal    FALSE #> 14836  928 0.9335398 0.201024284  fv      Gamma RP(P), Log-Normal    FALSE #> 14852  929 1.0175155 0.223295340  fv      Gamma RP(P), Log-Normal    FALSE #> 14868  930 1.4778512 0.339083118  fv      Gamma RP(P), Log-Normal    FALSE #> 14884  931 0.9049402 0.195294270  fv      Gamma RP(P), Log-Normal    FALSE #> 14900  932 1.2187532 0.262280942  fv      Gamma RP(P), Log-Normal    FALSE #> 14916  933 0.7691144 0.167095118  fv      Gamma RP(P), Log-Normal    FALSE #> 14932  934 0.7255674 0.155278746  fv      Gamma RP(P), Log-Normal    FALSE #> 14948  935 0.5660748 0.122968010  fv      Gamma RP(P), Log-Normal    FALSE #> 14964  936 0.7769992 0.168390284  fv      Gamma RP(P), Log-Normal    FALSE #> 14980  937 1.4918244 0.328500321  fv      Gamma RP(P), Log-Normal    FALSE #> 14996  938 1.0659751 0.233315986  fv      Gamma RP(P), Log-Normal    FALSE #> 15012  939 1.0236145 0.218522667  fv      Gamma RP(P), Log-Normal    FALSE #> 15028  940 1.0295400 0.221691720  fv      Gamma RP(P), Log-Normal    FALSE #> 15044  941 0.8047617 0.173567485  fv      Gamma RP(P), Log-Normal    FALSE #> 15060  942 0.8464834 0.185539126  fv      Gamma RP(P), Log-Normal    FALSE #> 15076  943 0.5599465 0.122123725  fv      Gamma RP(P), Log-Normal    FALSE #> 15092  944 0.7749006 0.165689234  fv      Gamma RP(P), Log-Normal    FALSE #> 15108  945 0.7455152 0.160417654  fv      Gamma RP(P), Log-Normal    FALSE #> 15124  946 1.1738343 0.268801235  fv      Gamma RP(P), Log-Normal    FALSE #> 15140  947 0.8388128 0.185803625  fv      Gamma RP(P), Log-Normal    FALSE #> 15156  948 0.6952556 0.158342180  fv      Gamma RP(P), Log-Normal    FALSE #> 15172  949 0.8177120 0.182041579  fv      Gamma RP(P), Log-Normal    FALSE #> 15188  950 0.7743235 0.171749308  fv      Gamma RP(P), Log-Normal    FALSE #> 15204  951 1.0063523 0.219655118  fv      Gamma RP(P), Log-Normal    FALSE #> 15220  952 0.8235324 0.177580617  fv      Gamma RP(P), Log-Normal    FALSE #> 15236  953 1.6557073 0.364829706  fv      Gamma RP(P), Log-Normal     TRUE #> 15252  954 0.8653755 0.187285027  fv      Gamma RP(P), Log-Normal    FALSE #> 15268  955 1.0301056 0.220205471  fv      Gamma RP(P), Log-Normal    FALSE #> 15284  956 0.7894323 0.172205969  fv      Gamma RP(P), Log-Normal    FALSE #> 15300  957 0.7333930 0.159610119  fv      Gamma RP(P), Log-Normal    FALSE #> 15316  958 0.6756133 0.147379474  fv      Gamma RP(P), Log-Normal    FALSE #> 15332  959 0.8148421 0.177271917  fv      Gamma RP(P), Log-Normal    FALSE #> 15348  960 1.0392486 0.227370460  fv      Gamma RP(P), Log-Normal    FALSE #> 15364  961 0.6272968 0.137352074  fv      Gamma RP(P), Log-Normal    FALSE #> 15380  962 1.2355976 0.269890470  fv      Gamma RP(P), Log-Normal    FALSE #> 15396  963 1.3179458 0.295990708  fv      Gamma RP(P), Log-Normal    FALSE #> 15412  964 0.9410797 0.206058732  fv      Gamma RP(P), Log-Normal    FALSE #> 15428  965 0.7249062 0.156451201  fv      Gamma RP(P), Log-Normal    FALSE #> 15444  966 1.0797601 0.240333361  fv      Gamma RP(P), Log-Normal    FALSE #> 15460  967 0.8711198 0.188877816  fv      Gamma RP(P), Log-Normal    FALSE #> 15476  968 0.7484915 0.163756006  fv      Gamma RP(P), Log-Normal    FALSE #> 15492  969 1.0608001 0.239446947  fv      Gamma RP(P), Log-Normal    FALSE #> 15508  970 1.0392551 0.242127789  fv      Gamma RP(P), Log-Normal    FALSE #> 15524  971 0.8947299 0.198047800  fv      Gamma RP(P), Log-Normal    FALSE #> 15540  972 0.8458660 0.191087294  fv      Gamma RP(P), Log-Normal    FALSE #> 15556  973 1.4370855 0.329114189  fv      Gamma RP(P), Log-Normal    FALSE #> 15572  974 0.6426835 0.141462608  fv      Gamma RP(P), Log-Normal    FALSE #> 15588  975 0.5829796 0.126731490  fv      Gamma RP(P), Log-Normal    FALSE #> 15604  976 0.9819053 0.214952765  fv      Gamma RP(P), Log-Normal    FALSE #> 15620  977 1.2025767 0.259993700  fv      Gamma RP(P), Log-Normal    FALSE #> 15636  978 1.1207741 0.253448839  fv      Gamma RP(P), Log-Normal    FALSE #> 15652  979 1.2212617 0.277004405  fv      Gamma RP(P), Log-Normal    FALSE #> 15668  980 0.6660679 0.144904550  fv      Gamma RP(P), Log-Normal    FALSE #> 15684  981 0.9800822 0.220568363  fv      Gamma RP(P), Log-Normal    FALSE #> 15700  982 1.2715142 0.278377255  fv      Gamma RP(P), Log-Normal    FALSE #> 15716  983 0.6362243 0.139600397  fv      Gamma RP(P), Log-Normal    FALSE #> 15732  984 0.9930194 0.216807089  fv      Gamma RP(P), Log-Normal    FALSE #> 15748  985 1.1721930 0.263401263  fv      Gamma RP(P), Log-Normal    FALSE #> 15764  986 0.8120336 0.173385919  fv      Gamma RP(P), Log-Normal    FALSE #> 15780  987 0.6828491 0.148950787  fv      Gamma RP(P), Log-Normal    FALSE #> 15796  988 0.8144041 0.176435041  fv      Gamma RP(P), Log-Normal    FALSE #> 15812  989 1.1247055 0.243500492  fv      Gamma RP(P), Log-Normal    FALSE #> 15828  990 0.8947567 0.191212448  fv      Gamma RP(P), Log-Normal    FALSE #> 15844  991 1.0661028 0.236299935  fv      Gamma RP(P), Log-Normal    FALSE #> 15860  992 1.1284313 0.252598990  fv      Gamma RP(P), Log-Normal    FALSE #> 15876  993 1.4178796 0.311252553  fv      Gamma RP(P), Log-Normal    FALSE #> 15892  994 0.9354356 0.205470856  fv      Gamma RP(P), Log-Normal    FALSE #> 15908  995 0.9748574 0.210421807  fv      Gamma RP(P), Log-Normal    FALSE #> 15924  996 0.8126153 0.174760175  fv      Gamma RP(P), Log-Normal    FALSE #> 15940  997 0.7325642 0.165565100  fv      Gamma RP(P), Log-Normal    FALSE #> 15956  998 0.8758146 0.191746972  fv      Gamma RP(P), Log-Normal    FALSE #> 15972  999 0.6360544 0.137587237  fv      Gamma RP(P), Log-Normal    FALSE #> 15988 1000 0.6592714 0.146375303  fv      Gamma RP(P), Log-Normal    FALSE #> 5        1 0.6394722 0.122380809  fv Log-Normal        Cox, Gamma    FALSE #> 21       2 0.6045856          NA  fv Log-Normal        Cox, Gamma       NA #> 37       3 0.8010657 0.151976580  fv Log-Normal        Cox, Gamma    FALSE #> 53       4 0.5251708 0.102995382  fv Log-Normal        Cox, Gamma    FALSE #> 69       5 0.7983593 0.148846197  fv Log-Normal        Cox, Gamma    FALSE #> 85       6 0.6885611 0.130409358  fv Log-Normal        Cox, Gamma    FALSE #> 101      7 0.5151179 0.100941935  fv Log-Normal        Cox, Gamma    FALSE #> 117      8 0.7621628 0.144318000  fv Log-Normal        Cox, Gamma    FALSE #> 133      9 0.6643665 0.127376922  fv Log-Normal        Cox, Gamma    FALSE #> 149     10 0.8283729 0.155318927  fv Log-Normal        Cox, Gamma    FALSE #> 165     11 0.7869555 0.147558877  fv Log-Normal        Cox, Gamma    FALSE #> 181     12 0.5133479 0.101148388  fv Log-Normal        Cox, Gamma    FALSE #> 197     13 0.7532925 0.143254004  fv Log-Normal        Cox, Gamma    FALSE #> 213     14 0.6319419 0.120525268  fv Log-Normal        Cox, Gamma    FALSE #> 229     15 0.6431606          NA  fv Log-Normal        Cox, Gamma       NA #> 245     16 0.5317893 0.104988331  fv Log-Normal        Cox, Gamma    FALSE #> 261     17 0.6485239          NA  fv Log-Normal        Cox, Gamma       NA #> 277     18 0.6937009 0.131641157  fv Log-Normal        Cox, Gamma    FALSE #> 293     19 0.7893061 0.147649710  fv Log-Normal        Cox, Gamma    FALSE #> 309     20 0.5473277 0.107505962  fv Log-Normal        Cox, Gamma    FALSE #> 325     21 0.6159281 0.119712689  fv Log-Normal        Cox, Gamma    FALSE #> 341     22 0.5034632 0.098706022  fv Log-Normal        Cox, Gamma    FALSE #> 357     23 0.8872145 0.167318484  fv Log-Normal        Cox, Gamma    FALSE #> 373     24 0.6747845 0.128587018  fv Log-Normal        Cox, Gamma    FALSE #> 389     25 0.5306071 0.103635336  fv Log-Normal        Cox, Gamma    FALSE #> 405     26 0.6424292 0.123098114  fv Log-Normal        Cox, Gamma    FALSE #> 421     27 0.4616309 0.092627917  fv Log-Normal        Cox, Gamma    FALSE #> 437     28 0.6455285 0.124584641  fv Log-Normal        Cox, Gamma    FALSE #> 453     29 0.9355245 0.171887190  fv Log-Normal        Cox, Gamma    FALSE #> 469     30 0.5683618          NA  fv Log-Normal        Cox, Gamma       NA #> 485     31 0.5122115 0.101457499  fv Log-Normal        Cox, Gamma    FALSE #> 501     32 0.5137421 0.101410278  fv Log-Normal        Cox, Gamma    FALSE #> 517     33 0.6617973 0.126758113  fv Log-Normal        Cox, Gamma    FALSE #> 533     34 0.8792537 0.165007321  fv Log-Normal        Cox, Gamma    FALSE #> 549     35 0.5056708 0.102050813  fv Log-Normal        Cox, Gamma    FALSE #> 565     36 0.4631456 0.092364702  fv Log-Normal        Cox, Gamma    FALSE #> 581     37 0.6402471 0.123639086  fv Log-Normal        Cox, Gamma    FALSE #> 597     38 0.6072469 0.118505183  fv Log-Normal        Cox, Gamma    FALSE #> 613     39 0.7170843 0.136908818  fv Log-Normal        Cox, Gamma    FALSE #> 629     40 0.5771348 0.115752065  fv Log-Normal        Cox, Gamma    FALSE #> 645     41 0.6529139 0.124393480  fv Log-Normal        Cox, Gamma    FALSE #> 661     42 0.5148011 0.101711999  fv Log-Normal        Cox, Gamma    FALSE #> 677     43 0.4666952 0.004937570  fv Log-Normal        Cox, Gamma     TRUE #> 693     44 0.6189380 0.118445497  fv Log-Normal        Cox, Gamma    FALSE #> 709     45 0.5376220 0.104802034  fv Log-Normal        Cox, Gamma    FALSE #> 725     46 0.3144607 0.065053567  fv Log-Normal        Cox, Gamma    FALSE #> 741     47 0.7584395 0.142672550  fv Log-Normal        Cox, Gamma    FALSE #> 757     48 0.8275518 0.156556744  fv Log-Normal        Cox, Gamma    FALSE #> 773     49 0.8489886 0.158293529  fv Log-Normal        Cox, Gamma    FALSE #> 789     50 0.5482973 0.107386748  fv Log-Normal        Cox, Gamma    FALSE #> 805     51 0.6839991 0.129492956  fv Log-Normal        Cox, Gamma    FALSE #> 821     52 0.4843987 0.096408435  fv Log-Normal        Cox, Gamma    FALSE #> 837     53 0.8510057 0.158864620  fv Log-Normal        Cox, Gamma    FALSE #> 853     54 0.6256909 0.120555710  fv Log-Normal        Cox, Gamma    FALSE #> 869     55 0.8346268 0.156087294  fv Log-Normal        Cox, Gamma    FALSE #> 885     56 0.7882049 0.150416666  fv Log-Normal        Cox, Gamma    FALSE #> 901     57 0.8201443 0.154000281  fv Log-Normal        Cox, Gamma    FALSE #> 917     58 0.7040050 0.135316400  fv Log-Normal        Cox, Gamma    FALSE #> 933     59 0.6359651 0.121923449  fv Log-Normal        Cox, Gamma    FALSE #> 949     60 0.8198970 0.153870480  fv Log-Normal        Cox, Gamma    FALSE #> 965     61 0.7175756 0.137152304  fv Log-Normal        Cox, Gamma    FALSE #> 981     62 0.6076507 0.118508879  fv Log-Normal        Cox, Gamma    FALSE #> 997     63 0.7819970 0.147791047  fv Log-Normal        Cox, Gamma    FALSE #> 1013    64 0.6957054 0.132639426  fv Log-Normal        Cox, Gamma    FALSE #> 1029    65 0.9526125 0.009775405  fv Log-Normal        Cox, Gamma     TRUE #> 1045    66 0.5441474 0.106172085  fv Log-Normal        Cox, Gamma    FALSE #> 1061    67 0.5523208 0.108353716  fv Log-Normal        Cox, Gamma    FALSE #> 1077    68 0.4929681 0.098414398  fv Log-Normal        Cox, Gamma    FALSE #> 1093    69 0.7299153 0.138530230  fv Log-Normal        Cox, Gamma    FALSE #> 1109    70 0.6423527 0.122802482  fv Log-Normal        Cox, Gamma    FALSE #> 1125    71 0.8632862 0.161486059  fv Log-Normal        Cox, Gamma    FALSE #> 1141    72 0.5591545 0.109417396  fv Log-Normal        Cox, Gamma    FALSE #> 1157    73 0.6075278 0.117438980  fv Log-Normal        Cox, Gamma    FALSE #> 1173    74 0.4193468 0.085150618  fv Log-Normal        Cox, Gamma    FALSE #> 1189    75 0.6458334 0.123807889  fv Log-Normal        Cox, Gamma    FALSE #> 1205    76 0.5319590 0.103524013  fv Log-Normal        Cox, Gamma    FALSE #> 1221    77 0.8210381 0.156007454  fv Log-Normal        Cox, Gamma    FALSE #> 1237    78 0.7326486 0.139950963  fv Log-Normal        Cox, Gamma    FALSE #> 1253    79 0.9943199 0.182305762  fv Log-Normal        Cox, Gamma     TRUE #> 1269    80 0.5401692 0.105772312  fv Log-Normal        Cox, Gamma    FALSE #> 1285    81 0.8195515 0.152333242  fv Log-Normal        Cox, Gamma    FALSE #> 1301    82 0.5996208 0.115639258  fv Log-Normal        Cox, Gamma    FALSE #> 1317    83 0.6878985 0.131159675  fv Log-Normal        Cox, Gamma    FALSE #> 1333    84 0.5677818 0.110729113  fv Log-Normal        Cox, Gamma    FALSE #> 1349    85 0.6777671 0.132744504  fv Log-Normal        Cox, Gamma    FALSE #> 1365    86 0.5697309 0.113283344  fv Log-Normal        Cox, Gamma    FALSE #> 1381    87 0.6515879 0.125557308  fv Log-Normal        Cox, Gamma    FALSE #> 1397    88 0.6589741 0.126940719  fv Log-Normal        Cox, Gamma    FALSE #> 1413    89 0.9088941 0.169266584  fv Log-Normal        Cox, Gamma    FALSE #> 1429    90 0.7931475 0.150240420  fv Log-Normal        Cox, Gamma    FALSE #> 1445    91 0.7963163 0.149402965  fv Log-Normal        Cox, Gamma    FALSE #> 1461    92 0.7857943 0.149847987  fv Log-Normal        Cox, Gamma    FALSE #> 1477    93 0.5504720 0.107382694  fv Log-Normal        Cox, Gamma    FALSE #> 1493    94 0.6884429 0.131346884  fv Log-Normal        Cox, Gamma    FALSE #> 1509    95 0.6380857 0.123419439  fv Log-Normal        Cox, Gamma    FALSE #> 1525    96 0.5041330 0.099649898  fv Log-Normal        Cox, Gamma    FALSE #> 1541    97 0.7322696 0.139902706  fv Log-Normal        Cox, Gamma    FALSE #> 1557    98 0.4127046 0.082919455  fv Log-Normal        Cox, Gamma    FALSE #> 1573    99 0.6763370 0.128560573  fv Log-Normal        Cox, Gamma    FALSE #> 1589   100 0.5878556 0.114387018  fv Log-Normal        Cox, Gamma    FALSE #> 1605   101 0.5514084 0.106995494  fv Log-Normal        Cox, Gamma    FALSE #> 1621   102 0.4762293 0.094742579  fv Log-Normal        Cox, Gamma    FALSE #> 1637   103 0.7020256 0.133873178  fv Log-Normal        Cox, Gamma    FALSE #> 1653   104 0.7099326 0.137457024  fv Log-Normal        Cox, Gamma    FALSE #> 1669   105 0.5077478 0.103091644  fv Log-Normal        Cox, Gamma    FALSE #> 1685   106 0.5839560          NA  fv Log-Normal        Cox, Gamma       NA #> 1701   107 0.6986634 0.132088893  fv Log-Normal        Cox, Gamma    FALSE #> 1717   108 0.6167183 0.119245954  fv Log-Normal        Cox, Gamma    FALSE #> 1733   109 0.8992052 0.168845162  fv Log-Normal        Cox, Gamma    FALSE #> 1749   110 0.7958962 0.150043027  fv Log-Normal        Cox, Gamma    FALSE #> 1765   111 0.6292353 0.123510171  fv Log-Normal        Cox, Gamma    FALSE #> 1781   112 0.6629978 0.127077109  fv Log-Normal        Cox, Gamma    FALSE #> 1797   113 0.7261570 0.136779956  fv Log-Normal        Cox, Gamma    FALSE #> 1813   114 0.6276345 0.122291276  fv Log-Normal        Cox, Gamma    FALSE #> 1829   115 0.6639073 0.126950626  fv Log-Normal        Cox, Gamma    FALSE #> 1845   116 0.6771155 0.129017151  fv Log-Normal        Cox, Gamma    FALSE #> 1861   117 0.7574856 0.142852173  fv Log-Normal        Cox, Gamma    FALSE #> 1877   118 0.5400931 0.105299387  fv Log-Normal        Cox, Gamma    FALSE #> 1893   119 0.5348068 0.104913423  fv Log-Normal        Cox, Gamma    FALSE #> 1909   120 0.7474894 0.142057002  fv Log-Normal        Cox, Gamma    FALSE #> 1925   121 0.6748811 0.129647969  fv Log-Normal        Cox, Gamma    FALSE #> 1941   122 0.5375076 0.108052856  fv Log-Normal        Cox, Gamma    FALSE #> 1957   123 0.4856003 0.096121275  fv Log-Normal        Cox, Gamma    FALSE #> 1973   124 0.5246200 0.103885319  fv Log-Normal        Cox, Gamma    FALSE #> 1989   125 0.4720605          NA  fv Log-Normal        Cox, Gamma       NA #> 2005   126 0.9482783 0.174156199  fv Log-Normal        Cox, Gamma    FALSE #> 2021   127 0.4306473 0.085975068  fv Log-Normal        Cox, Gamma    FALSE #> 2037   128 0.4410806 0.087616373  fv Log-Normal        Cox, Gamma    FALSE #> 2053   129 0.5998340 0.116337857  fv Log-Normal        Cox, Gamma    FALSE #> 2069   130 0.5329207 0.106038502  fv Log-Normal        Cox, Gamma    FALSE #> 2085   131 0.5852483 0.113419735  fv Log-Normal        Cox, Gamma    FALSE #> 2101   132 0.6742929 0.128681326  fv Log-Normal        Cox, Gamma    FALSE #> 2117   133 0.8438814 0.157495241  fv Log-Normal        Cox, Gamma    FALSE #> 2133   134 0.8725599 0.161209909  fv Log-Normal        Cox, Gamma    FALSE #> 2149   135 0.6599414 0.127969864  fv Log-Normal        Cox, Gamma    FALSE #> 2165   136 0.5626806 0.112982953  fv Log-Normal        Cox, Gamma    FALSE #> 2181   137 0.4613542 0.092148877  fv Log-Normal        Cox, Gamma    FALSE #> 2197   138 0.4897440 0.096970193  fv Log-Normal        Cox, Gamma    FALSE #> 2213   139 0.6186832 0.118880800  fv Log-Normal        Cox, Gamma    FALSE #> 2229   140 0.6882313 0.130677278  fv Log-Normal        Cox, Gamma    FALSE #> 2245   141 0.4057784 0.082456100  fv Log-Normal        Cox, Gamma    FALSE #> 2261   142 0.4533127 0.090505938  fv Log-Normal        Cox, Gamma    FALSE #> 2277   143 0.5205757 0.101899405  fv Log-Normal        Cox, Gamma    FALSE #> 2293   144 0.6642470 0.129879650  fv Log-Normal        Cox, Gamma    FALSE #> 2309   145 0.4846138 0.095680840  fv Log-Normal        Cox, Gamma    FALSE #> 2325   146 0.6727758 0.128705520  fv Log-Normal        Cox, Gamma    FALSE #> 2341   147 0.6505837 0.128350311  fv Log-Normal        Cox, Gamma    FALSE #> 2357   148 0.5095640 0.100748115  fv Log-Normal        Cox, Gamma    FALSE #> 2373   149 0.3838389 0.078579334  fv Log-Normal        Cox, Gamma    FALSE #> 2389   150 0.5015661 0.098921642  fv Log-Normal        Cox, Gamma    FALSE #> 2405   151 0.8316167 0.156175999  fv Log-Normal        Cox, Gamma    FALSE #> 2421   152 0.6107663 0.117805851  fv Log-Normal        Cox, Gamma    FALSE #> 2437   153 0.7774550 0.147567258  fv Log-Normal        Cox, Gamma    FALSE #> 2453   154 0.6456305 0.123420490  fv Log-Normal        Cox, Gamma    FALSE #> 2469   155 0.9161229 0.170688228  fv Log-Normal        Cox, Gamma    FALSE #> 2485   156 0.5364627 0.104848903  fv Log-Normal        Cox, Gamma    FALSE #> 2501   157 0.5613152 0.109806565  fv Log-Normal        Cox, Gamma    FALSE #> 2517   158 0.6129741          NA  fv Log-Normal        Cox, Gamma       NA #> 2533   159 0.6589814 0.126591843  fv Log-Normal        Cox, Gamma    FALSE #> 2549   160 0.6071451 0.116592113  fv Log-Normal        Cox, Gamma    FALSE #> 2565   161 0.8464096 0.158851699  fv Log-Normal        Cox, Gamma    FALSE #> 2581   162 0.8600343 0.160292687  fv Log-Normal        Cox, Gamma    FALSE #> 2597   163 0.5244066 0.102558542  fv Log-Normal        Cox, Gamma    FALSE #> 2613   164 0.6350957 0.122832752  fv Log-Normal        Cox, Gamma    FALSE #> 2629   165 0.4845964 0.095537265  fv Log-Normal        Cox, Gamma    FALSE #> 2645   166 0.4272914 0.086071366  fv Log-Normal        Cox, Gamma    FALSE #> 2661   167 0.6479949 0.124144693  fv Log-Normal        Cox, Gamma    FALSE #> 2677   168 0.7462762 0.140607751  fv Log-Normal        Cox, Gamma    FALSE #> 2693   169 0.6323112 0.122436745  fv Log-Normal        Cox, Gamma    FALSE #> 2709   170 0.6601451 0.125902988  fv Log-Normal        Cox, Gamma    FALSE #> 2725   171 0.7032168 0.133018961  fv Log-Normal        Cox, Gamma    FALSE #> 2741   172 0.6390154 0.122082524  fv Log-Normal        Cox, Gamma    FALSE #> 2757   173 0.7009973 0.134209465  fv Log-Normal        Cox, Gamma    FALSE #> 2773   174 0.5290113 0.103348766  fv Log-Normal        Cox, Gamma    FALSE #> 2789   175 0.7105678 0.135604428  fv Log-Normal        Cox, Gamma    FALSE #> 2805   176 0.8662738 0.161421953  fv Log-Normal        Cox, Gamma    FALSE #> 2821   177 0.6637685 0.126258249  fv Log-Normal        Cox, Gamma    FALSE #> 2837   178 0.4790982 0.094932397  fv Log-Normal        Cox, Gamma    FALSE #> 2853   179 0.7824449 0.146344350  fv Log-Normal        Cox, Gamma    FALSE #> 2869   180 0.4960902 0.097942874  fv Log-Normal        Cox, Gamma    FALSE #> 2885   181 0.6319581          NA  fv Log-Normal        Cox, Gamma       NA #> 2901   182 1.0215608 0.186181702  fv Log-Normal        Cox, Gamma     TRUE #> 2917   183 0.6556942 0.127650618  fv Log-Normal        Cox, Gamma    FALSE #> 2933   184 0.8197292 0.152798041  fv Log-Normal        Cox, Gamma    FALSE #> 2949   185 0.7209598 0.136991783  fv Log-Normal        Cox, Gamma    FALSE #> 2965   186 0.6961555 0.132783636  fv Log-Normal        Cox, Gamma    FALSE #> 2981   187 0.6427010 0.124017514  fv Log-Normal        Cox, Gamma    FALSE #> 2997   188 0.8413523 0.159781367  fv Log-Normal        Cox, Gamma    FALSE #> 3013   189 0.6291343 0.120949937  fv Log-Normal        Cox, Gamma    FALSE #> 3029   190 0.6312602 0.120553681  fv Log-Normal        Cox, Gamma    FALSE #> 3045   191 0.6229767 0.120163049  fv Log-Normal        Cox, Gamma    FALSE #> 3061   192 0.6625294 0.128824188  fv Log-Normal        Cox, Gamma    FALSE #> 3077   193 0.6095303 0.117152349  fv Log-Normal        Cox, Gamma    FALSE #> 3093   194 0.8906886 0.165363633  fv Log-Normal        Cox, Gamma    FALSE #> 3109   195 0.5763599 0.113600171  fv Log-Normal        Cox, Gamma    FALSE #> 3125   196 0.5388661 0.105243328  fv Log-Normal        Cox, Gamma    FALSE #> 3141   197 0.6062427 0.117145578  fv Log-Normal        Cox, Gamma    FALSE #> 3157   198 0.6999424 0.133524072  fv Log-Normal        Cox, Gamma    FALSE #> 3173   199 0.4751412 0.094093909  fv Log-Normal        Cox, Gamma    FALSE #> 3189   200 0.5362176 0.105172510  fv Log-Normal        Cox, Gamma    FALSE #> 3205   201 0.7915355 0.148896926  fv Log-Normal        Cox, Gamma    FALSE #> 3221   202 0.6256725 0.120094411  fv Log-Normal        Cox, Gamma    FALSE #> 3237   203 0.5558678 0.108296694  fv Log-Normal        Cox, Gamma    FALSE #> 3253   204 0.5876585 0.113892273  fv Log-Normal        Cox, Gamma    FALSE #> 3269   205 0.5468949 0.106525018  fv Log-Normal        Cox, Gamma    FALSE #> 3285   206 0.6698007 0.128281193  fv Log-Normal        Cox, Gamma    FALSE #> 3301   207 0.8537181 0.163478068  fv Log-Normal        Cox, Gamma    FALSE #> 3317   208 0.8151591 0.151573969  fv Log-Normal        Cox, Gamma    FALSE #> 3333   209 0.5738887 0.112038746  fv Log-Normal        Cox, Gamma    FALSE #> 3349   210 0.5948765 0.115005913  fv Log-Normal        Cox, Gamma    FALSE #> 3365   211 0.7051577 0.134016025  fv Log-Normal        Cox, Gamma    FALSE #> 3381   212 0.6688139 0.127473682  fv Log-Normal        Cox, Gamma    FALSE #> 3397   213 0.5682107 0.111343598  fv Log-Normal        Cox, Gamma    FALSE #> 3413   214 0.5596977 0.108622186  fv Log-Normal        Cox, Gamma    FALSE #> 3429   215 0.6736498 0.131769952  fv Log-Normal        Cox, Gamma    FALSE #> 3445   216 0.8402526 0.156811031  fv Log-Normal        Cox, Gamma    FALSE #> 3461   217 0.6569014 0.126067931  fv Log-Normal        Cox, Gamma    FALSE #> 3477   218 0.6265203          NA  fv Log-Normal        Cox, Gamma       NA #> 3493   219 0.8265282 0.156692936  fv Log-Normal        Cox, Gamma    FALSE #> 3509   220 0.7025852 0.132963964  fv Log-Normal        Cox, Gamma    FALSE #> 3525   221 0.5591480 0.109170032  fv Log-Normal        Cox, Gamma    FALSE #> 3541   222 0.3308424 0.068028520  fv Log-Normal        Cox, Gamma    FALSE #> 3557   223 0.4912096 0.096931558  fv Log-Normal        Cox, Gamma    FALSE #> 3573   224 0.4900371 0.096260044  fv Log-Normal        Cox, Gamma    FALSE #> 3589   225 0.7671184 0.144972525  fv Log-Normal        Cox, Gamma    FALSE #> 3605   226 0.8535113 0.158140918  fv Log-Normal        Cox, Gamma    FALSE #> 3621   227 0.6378454 0.121921746  fv Log-Normal        Cox, Gamma    FALSE #> 3637   228 0.7197385 0.135876027  fv Log-Normal        Cox, Gamma    FALSE #> 3653   229 0.3791053 0.077674263  fv Log-Normal        Cox, Gamma    FALSE #> 3669   230 0.5811553 0.113632012  fv Log-Normal        Cox, Gamma    FALSE #> 3685   231 0.5860880 0.113549906  fv Log-Normal        Cox, Gamma    FALSE #> 3701   232 0.8037955 0.151262566  fv Log-Normal        Cox, Gamma    FALSE #> 3717   233 0.8533986 0.160021433  fv Log-Normal        Cox, Gamma    FALSE #> 3733   234 0.8484815 0.159241562  fv Log-Normal        Cox, Gamma    FALSE #> 3749   235 0.4897224 0.096400413  fv Log-Normal        Cox, Gamma    FALSE #> 3765   236 0.5762535 0.112239275  fv Log-Normal        Cox, Gamma    FALSE #> 3781   237 0.5269204 0.103993561  fv Log-Normal        Cox, Gamma    FALSE #> 3797   238 0.7820117 0.148029154  fv Log-Normal        Cox, Gamma    FALSE #> 3813   239 0.8192601 0.155041621  fv Log-Normal        Cox, Gamma    FALSE #> 3829   240 0.5402785 0.105436912  fv Log-Normal        Cox, Gamma    FALSE #> 3845   241 0.6507911 0.125139921  fv Log-Normal        Cox, Gamma    FALSE #> 3861   242 0.4837204 0.095399989  fv Log-Normal        Cox, Gamma    FALSE #> 3877   243 0.6195218 0.119990163  fv Log-Normal        Cox, Gamma    FALSE #> 3893   244 0.5100376 0.100590658  fv Log-Normal        Cox, Gamma    FALSE #> 3909   245 0.4265852 0.085555768  fv Log-Normal        Cox, Gamma    FALSE #> 3925   246 0.7625282 0.147743867  fv Log-Normal        Cox, Gamma    FALSE #> 3941   247 0.6393146 0.124452824  fv Log-Normal        Cox, Gamma    FALSE #> 3957   248 0.8878569 0.164863233  fv Log-Normal        Cox, Gamma    FALSE #> 3973   249 0.5104467 0.100139240  fv Log-Normal        Cox, Gamma    FALSE #> 3989   250 0.7090348 0.135416883  fv Log-Normal        Cox, Gamma    FALSE #> 4005   251 0.5665994 0.110662478  fv Log-Normal        Cox, Gamma    FALSE #> 4021   252 0.4789176 0.096840906  fv Log-Normal        Cox, Gamma    FALSE #> 4037   253 0.7726023 0.145748257  fv Log-Normal        Cox, Gamma    FALSE #> 4053   254 0.6799045 0.131222201  fv Log-Normal        Cox, Gamma    FALSE #> 4069   255 0.8679381 0.163075058  fv Log-Normal        Cox, Gamma    FALSE #> 4085   256 0.7877915 0.149581667  fv Log-Normal        Cox, Gamma    FALSE #> 4101   257 0.7172398 0.135506691  fv Log-Normal        Cox, Gamma    FALSE #> 4117   258 0.4064345 0.082947195  fv Log-Normal        Cox, Gamma    FALSE #> 4133   259 0.5807491 0.112471382  fv Log-Normal        Cox, Gamma    FALSE #> 4149   260 0.5464734 0.106275466  fv Log-Normal        Cox, Gamma    FALSE #> 4165   261 0.7065837 0.133504731  fv Log-Normal        Cox, Gamma    FALSE #> 4181   262 0.5931230 0.114792244  fv Log-Normal        Cox, Gamma    FALSE #> 4197   263 0.7014259 0.133353663  fv Log-Normal        Cox, Gamma    FALSE #> 4213   264 0.7179491 0.137495764  fv Log-Normal        Cox, Gamma    FALSE #> 4229   265 0.5649677 0.109814735  fv Log-Normal        Cox, Gamma    FALSE #> 4245   266 0.5471308 0.106789710  fv Log-Normal        Cox, Gamma    FALSE #> 4261   267 0.5878749 0.115444716  fv Log-Normal        Cox, Gamma    FALSE #> 4277   268 0.8704538 0.161935150  fv Log-Normal        Cox, Gamma    FALSE #> 4293   269 0.5588668 0.109315818  fv Log-Normal        Cox, Gamma    FALSE #> 4309   270 0.5682294 0.110657678  fv Log-Normal        Cox, Gamma    FALSE #> 4325   271 0.7742804 0.148840997  fv Log-Normal        Cox, Gamma    FALSE #> 4341   272 0.5158531 0.101581050  fv Log-Normal        Cox, Gamma    FALSE #> 4357   273 0.6160109          NA  fv Log-Normal        Cox, Gamma       NA #> 4373   274 0.7917479 0.153086307  fv Log-Normal        Cox, Gamma    FALSE #> 4389   275 0.6364515 0.126896193  fv Log-Normal        Cox, Gamma    FALSE #> 4405   276 0.6699600 0.127579619  fv Log-Normal        Cox, Gamma    FALSE #> 4421   277 0.6950828 0.007187089  fv Log-Normal        Cox, Gamma     TRUE #> 4437   278 0.5145957 0.101023595  fv Log-Normal        Cox, Gamma    FALSE #> 4453   279 0.8117977 0.153216708  fv Log-Normal        Cox, Gamma    FALSE #> 4469   280 0.6997337 0.133181330  fv Log-Normal        Cox, Gamma    FALSE #> 4485   281 0.6982049 0.133445042  fv Log-Normal        Cox, Gamma    FALSE #> 4501   282 0.5416213 0.105440717  fv Log-Normal        Cox, Gamma    FALSE #> 4517   283 0.6857669 0.130142790  fv Log-Normal        Cox, Gamma    FALSE #> 4533   284 0.5399607 0.105818606  fv Log-Normal        Cox, Gamma    FALSE #> 4549   285 0.5893622 0.113916611  fv Log-Normal        Cox, Gamma    FALSE #> 4565   286 0.6293867 0.121852607  fv Log-Normal        Cox, Gamma    FALSE #> 4581   287 0.5320429 0.104084556  fv Log-Normal        Cox, Gamma    FALSE #> 4597   288 0.5385214          NA  fv Log-Normal        Cox, Gamma       NA #> 4613   289 0.6079604 0.117589769  fv Log-Normal        Cox, Gamma    FALSE #> 4629   290 0.6198681 0.119709759  fv Log-Normal        Cox, Gamma    FALSE #> 4645   291 0.6348176 0.121448764  fv Log-Normal        Cox, Gamma    FALSE #> 4661   292 0.5566394 0.109253711  fv Log-Normal        Cox, Gamma    FALSE #> 4677   293 0.5642341 0.108813689  fv Log-Normal        Cox, Gamma    FALSE #> 4693   294 0.6430886 0.123339440  fv Log-Normal        Cox, Gamma    FALSE #> 4709   295 0.5805056 0.113140088  fv Log-Normal        Cox, Gamma    FALSE #> 4725   296 0.7567236 0.143584763  fv Log-Normal        Cox, Gamma    FALSE #> 4741   297 0.3855174 0.078215125  fv Log-Normal        Cox, Gamma    FALSE #> 4757   298 0.5794998 0.112104842  fv Log-Normal        Cox, Gamma    FALSE #> 4773   299 0.7028882 0.133589533  fv Log-Normal        Cox, Gamma    FALSE #> 4789   300 0.5797419 0.112542288  fv Log-Normal        Cox, Gamma    FALSE #> 4805   301 0.9211398 0.170258250  fv Log-Normal        Cox, Gamma    FALSE #> 4821   302 0.7451349 0.144010919  fv Log-Normal        Cox, Gamma    FALSE #> 4837   303 0.5897070 0.114105453  fv Log-Normal        Cox, Gamma    FALSE #> 4853   304 0.5902198 0.114066882  fv Log-Normal        Cox, Gamma    FALSE #> 4869   305 0.6998113 0.132962809  fv Log-Normal        Cox, Gamma    FALSE #> 4885   306 0.5558410 0.108825873  fv Log-Normal        Cox, Gamma    FALSE #> 4901   307 0.5096845 0.099400324  fv Log-Normal        Cox, Gamma    FALSE #> 4917   308 0.6120856 0.118043549  fv Log-Normal        Cox, Gamma    FALSE #> 4933   309 0.5238446 0.102522839  fv Log-Normal        Cox, Gamma    FALSE #> 4949   310 0.5755179 0.112344745  fv Log-Normal        Cox, Gamma    FALSE #> 4965   311 0.7940267 0.148985319  fv Log-Normal        Cox, Gamma    FALSE #> 4981   312 0.5853714 0.006099306  fv Log-Normal        Cox, Gamma     TRUE #> 4997   313 0.4366253 0.087746151  fv Log-Normal        Cox, Gamma    FALSE #> 5013   314 0.6141543 0.119168693  fv Log-Normal        Cox, Gamma    FALSE #> 5029   315 0.5634745 0.109117311  fv Log-Normal        Cox, Gamma    FALSE #> 5045   316 0.5563368 0.109703245  fv Log-Normal        Cox, Gamma    FALSE #> 5061   317 0.7188303 0.135419985  fv Log-Normal        Cox, Gamma    FALSE #> 5077   318 0.5950034 0.119644402  fv Log-Normal        Cox, Gamma    FALSE #> 5093   319 0.6531083 0.125747127  fv Log-Normal        Cox, Gamma    FALSE #> 5109   320 0.7196713 0.136030114  fv Log-Normal        Cox, Gamma    FALSE #> 5125   321 0.8308015 0.156780085  fv Log-Normal        Cox, Gamma    FALSE #> 5141   322 0.4956023 0.097888214  fv Log-Normal        Cox, Gamma    FALSE #> 5157   323 0.6546792 0.124835750  fv Log-Normal        Cox, Gamma    FALSE #> 5173   324 0.4840185 0.095889192  fv Log-Normal        Cox, Gamma    FALSE #> 5189   325 0.5702055 0.111852128  fv Log-Normal        Cox, Gamma    FALSE #> 5205   326 0.7875548 0.148425894  fv Log-Normal        Cox, Gamma    FALSE #> 5221   327 0.4456639 0.088551255  fv Log-Normal        Cox, Gamma    FALSE #> 5237   328 0.6199910 0.118511296  fv Log-Normal        Cox, Gamma    FALSE #> 5253   329 0.6070999 0.118226137  fv Log-Normal        Cox, Gamma    FALSE #> 5269   330 0.4693525 0.092970101  fv Log-Normal        Cox, Gamma    FALSE #> 5285   331 0.7782761 0.145952440  fv Log-Normal        Cox, Gamma    FALSE #> 5301   332 0.6147740 0.118149084  fv Log-Normal        Cox, Gamma    FALSE #> 5317   333 0.4880236 0.097261035  fv Log-Normal        Cox, Gamma    FALSE #> 5333   334 0.4884141 0.096379233  fv Log-Normal        Cox, Gamma    FALSE #> 5349   335 0.5032586 0.099171283  fv Log-Normal        Cox, Gamma    FALSE #> 5365   336 0.7805535 0.148128686  fv Log-Normal        Cox, Gamma    FALSE #> 5381   337 0.6032561 0.116743833  fv Log-Normal        Cox, Gamma    FALSE #> 5397   338 0.6551628 0.125118867  fv Log-Normal        Cox, Gamma    FALSE #> 5413   339 0.5169801 0.101821996  fv Log-Normal        Cox, Gamma    FALSE #> 5429   340 0.8196064 0.154398664  fv Log-Normal        Cox, Gamma    FALSE #> 5445   341 0.5937845 0.117321745  fv Log-Normal        Cox, Gamma    FALSE #> 5461   342 0.5195210 0.101714573  fv Log-Normal        Cox, Gamma    FALSE #> 5477   343 0.5449285 0.106821634  fv Log-Normal        Cox, Gamma    FALSE #> 5493   344 0.6178628 0.119729312  fv Log-Normal        Cox, Gamma    FALSE #> 5509   345 0.5748172 0.111195189  fv Log-Normal        Cox, Gamma    FALSE #> 5525   346 0.4467481 0.089775532  fv Log-Normal        Cox, Gamma    FALSE #> 5541   347 0.5922002 0.115336519  fv Log-Normal        Cox, Gamma    FALSE #> 5557   348 0.5431553 0.107023045  fv Log-Normal        Cox, Gamma    FALSE #> 5573   349 0.5963678 0.115282859  fv Log-Normal        Cox, Gamma    FALSE #> 5589   350 0.7126978 0.135785768  fv Log-Normal        Cox, Gamma    FALSE #> 5605   351 0.5000000 0.098314792  fv Log-Normal        Cox, Gamma    FALSE #> 5621   352 0.7598097 0.144565206  fv Log-Normal        Cox, Gamma    FALSE #> 5637   353 0.6849065 0.131859665  fv Log-Normal        Cox, Gamma    FALSE #> 5653   354 0.5847636 0.113209083  fv Log-Normal        Cox, Gamma    FALSE #> 5669   355 0.6647230 0.126982092  fv Log-Normal        Cox, Gamma    FALSE #> 5685   356 0.6167743          NA  fv Log-Normal        Cox, Gamma       NA #> 5701   357 0.9010051 0.172186528  fv Log-Normal        Cox, Gamma    FALSE #> 5717   358 0.6069449 0.117219188  fv Log-Normal        Cox, Gamma    FALSE #> 5733   359 0.4821542 0.096106206  fv Log-Normal        Cox, Gamma    FALSE #> 5749   360 0.5664989 0.109859357  fv Log-Normal        Cox, Gamma    FALSE #> 5765   361 0.5678027 0.110631454  fv Log-Normal        Cox, Gamma    FALSE #> 5781   362 0.6276318          NA  fv Log-Normal        Cox, Gamma       NA #> 5797   363 0.5816629 0.114016656  fv Log-Normal        Cox, Gamma    FALSE #> 5813   364 0.6859902 0.129879220  fv Log-Normal        Cox, Gamma    FALSE #> 5829   365 0.6491866 0.124319049  fv Log-Normal        Cox, Gamma    FALSE #> 5845   366 0.5865690 0.113684228  fv Log-Normal        Cox, Gamma    FALSE #> 5861   367 0.7319157 0.139897352  fv Log-Normal        Cox, Gamma    FALSE #> 5877   368 0.8046332 0.150989946  fv Log-Normal        Cox, Gamma    FALSE #> 5893   369 0.5082926 0.099866024  fv Log-Normal        Cox, Gamma    FALSE #> 5909   370 0.6604881 0.126498901  fv Log-Normal        Cox, Gamma    FALSE #> 5925   371 0.6356362 0.124258194  fv Log-Normal        Cox, Gamma    FALSE #> 5941   372 0.4589990 0.091576188  fv Log-Normal        Cox, Gamma    FALSE #> 5957   373 0.8629317 0.160738289  fv Log-Normal        Cox, Gamma    FALSE #> 5973   374 0.5057169 0.100061515  fv Log-Normal        Cox, Gamma    FALSE #> 5989   375 0.6330062 0.123040876  fv Log-Normal        Cox, Gamma    FALSE #> 6005   376 0.6046560 0.116978108  fv Log-Normal        Cox, Gamma    FALSE #> 6021   377 0.4747655 0.005013608  fv Log-Normal        Cox, Gamma     TRUE #> 6037   378 0.5334781 0.005584094  fv Log-Normal        Cox, Gamma     TRUE #> 6053   379 0.4830196 0.095784689  fv Log-Normal        Cox, Gamma    FALSE #> 6069   380 0.5694002 0.110358969  fv Log-Normal        Cox, Gamma    FALSE #> 6085   381 0.6863816 0.130635692  fv Log-Normal        Cox, Gamma    FALSE #> 6101   382 0.6287443 0.121561327  fv Log-Normal        Cox, Gamma    FALSE #> 6117   383 0.6705983 0.128564833  fv Log-Normal        Cox, Gamma    FALSE #> 6133   384 0.5832236          NA  fv Log-Normal        Cox, Gamma       NA #> 6149   385 0.5054799 0.100036351  fv Log-Normal        Cox, Gamma    FALSE #> 6165   386 0.7721235 0.146738604  fv Log-Normal        Cox, Gamma    FALSE #> 6181   387 0.5792390 0.113921561  fv Log-Normal        Cox, Gamma    FALSE #> 6197   388 0.6998366 0.131999951  fv Log-Normal        Cox, Gamma    FALSE #> 6213   389 0.6587321 0.125619377  fv Log-Normal        Cox, Gamma    FALSE #> 6229   390 0.5746738 0.111840939  fv Log-Normal        Cox, Gamma    FALSE #> 6245   391 0.7150477 0.135480569  fv Log-Normal        Cox, Gamma    FALSE #> 6261   392 0.5580029 0.109198136  fv Log-Normal        Cox, Gamma    FALSE #> 6277   393 0.5189269 0.101936787  fv Log-Normal        Cox, Gamma    FALSE #> 6293   394 0.8337900 0.157631224  fv Log-Normal        Cox, Gamma    FALSE #> 6309   395 0.6557804 0.125496415  fv Log-Normal        Cox, Gamma    FALSE #> 6325   396 0.8542463 0.159311110  fv Log-Normal        Cox, Gamma    FALSE #> 6341   397 0.5753214 0.111380720  fv Log-Normal        Cox, Gamma    FALSE #> 6357   398 0.5763301          NA  fv Log-Normal        Cox, Gamma       NA #> 6373   399 0.7343354 0.139561737  fv Log-Normal        Cox, Gamma    FALSE #> 6389   400 0.4829329 0.095986778  fv Log-Normal        Cox, Gamma    FALSE #> 6405   401 0.5236326 0.102648828  fv Log-Normal        Cox, Gamma    FALSE #> 6421   402 0.4724927 0.094782726  fv Log-Normal        Cox, Gamma    FALSE #> 6437   403 0.4746930 0.093432378  fv Log-Normal        Cox, Gamma    FALSE #> 6453   404 0.5498989 0.108729092  fv Log-Normal        Cox, Gamma    FALSE #> 6469   405 0.4680169 0.093560491  fv Log-Normal        Cox, Gamma    FALSE #> 6485   406 0.5976504 0.115198092  fv Log-Normal        Cox, Gamma    FALSE #> 6501   407 0.7073151 0.135807607  fv Log-Normal        Cox, Gamma    FALSE #> 6517   408 0.4534840 0.092196184  fv Log-Normal        Cox, Gamma    FALSE #> 6533   409 0.5996849 0.115802131  fv Log-Normal        Cox, Gamma    FALSE #> 6549   410 0.7350483 0.141098444  fv Log-Normal        Cox, Gamma    FALSE #> 6565   411 0.5844294 0.114213027  fv Log-Normal        Cox, Gamma    FALSE #> 6581   412 0.6355002 0.123732471  fv Log-Normal        Cox, Gamma    FALSE #> 6597   413 0.4795980 0.095797688  fv Log-Normal        Cox, Gamma    FALSE #> 6613   414 0.8214290 0.154482941  fv Log-Normal        Cox, Gamma    FALSE #> 6629   415 1.0474272 0.190204210  fv Log-Normal        Cox, Gamma     TRUE #> 6645   416 0.5058717 0.100738059  fv Log-Normal        Cox, Gamma    FALSE #> 6661   417 0.5077597 0.099999290  fv Log-Normal        Cox, Gamma    FALSE #> 6677   418 0.7561877 0.141887306  fv Log-Normal        Cox, Gamma    FALSE #> 6693   419 0.4072063 0.081901396  fv Log-Normal        Cox, Gamma    FALSE #> 6709   420 0.6455902 0.124271550  fv Log-Normal        Cox, Gamma    FALSE #> 6725   421 0.7228223 0.137917495  fv Log-Normal        Cox, Gamma    FALSE #> 6741   422 0.5497526 0.108664623  fv Log-Normal        Cox, Gamma    FALSE #> 6757   423 0.5299681 0.103771903  fv Log-Normal        Cox, Gamma    FALSE #> 6773   424 0.5967779 0.115501171  fv Log-Normal        Cox, Gamma    FALSE #> 6789   425 0.7086593 0.136018726  fv Log-Normal        Cox, Gamma    FALSE #> 6805   426 0.7463880 0.141871924  fv Log-Normal        Cox, Gamma    FALSE #> 6821   427 0.9312417 0.173523729  fv Log-Normal        Cox, Gamma    FALSE #> 6837   428 0.7297720 0.139335836  fv Log-Normal        Cox, Gamma    FALSE #> 6853   429 0.6423904 0.123215428  fv Log-Normal        Cox, Gamma    FALSE #> 6869   430 0.7904786 0.149398357  fv Log-Normal        Cox, Gamma    FALSE #> 6885   431 0.5748521 0.111859450  fv Log-Normal        Cox, Gamma    FALSE #> 6901   432 0.7837588 0.147930476  fv Log-Normal        Cox, Gamma    FALSE #> 6917   433 0.5077611 0.099539593  fv Log-Normal        Cox, Gamma    FALSE #> 6933   434 0.5698565 0.111750053  fv Log-Normal        Cox, Gamma    FALSE #> 6949   435 0.4345445 0.087168355  fv Log-Normal        Cox, Gamma    FALSE #> 6965   436 0.6488462 0.124059132  fv Log-Normal        Cox, Gamma    FALSE #> 6981   437 0.4985519 0.098328201  fv Log-Normal        Cox, Gamma    FALSE #> 6997   438 0.7555537 0.142820397  fv Log-Normal        Cox, Gamma    FALSE #> 7013   439 0.5195431 0.102728067  fv Log-Normal        Cox, Gamma    FALSE #> 7029   440 0.4001901 0.081978639  fv Log-Normal        Cox, Gamma    FALSE #> 7045   441 0.5221735 0.103055594  fv Log-Normal        Cox, Gamma    FALSE #> 7061   442 0.6261760 0.120790762  fv Log-Normal        Cox, Gamma    FALSE #> 7077   443 0.7115103 0.135894182  fv Log-Normal        Cox, Gamma    FALSE #> 7093   444 0.8105371 0.154148350  fv Log-Normal        Cox, Gamma    FALSE #> 7109   445 0.7507591 0.141487559  fv Log-Normal        Cox, Gamma    FALSE #> 7125   446 0.5493869 0.107028499  fv Log-Normal        Cox, Gamma    FALSE #> 7141   447 0.7140244 0.135131039  fv Log-Normal        Cox, Gamma    FALSE #> 7157   448 0.7267933 0.007501018  fv Log-Normal        Cox, Gamma     TRUE #> 7173   449 0.8146904 0.153718357  fv Log-Normal        Cox, Gamma    FALSE #> 7189   450 0.5712926 0.005956948  fv Log-Normal        Cox, Gamma     TRUE #> 7205   451 0.6845371 0.007089436  fv Log-Normal        Cox, Gamma     TRUE #> 7221   452 0.6853901 0.130472792  fv Log-Normal        Cox, Gamma    FALSE #> 7237   453 0.6417479 0.123250237  fv Log-Normal        Cox, Gamma    FALSE #> 7253   454 0.5911276 0.114601422  fv Log-Normal        Cox, Gamma    FALSE #> 7269   455 0.5984098 0.116590552  fv Log-Normal        Cox, Gamma    FALSE #> 7285   456 0.4505173 0.090165786  fv Log-Normal        Cox, Gamma    FALSE #> 7301   457 0.7620831 0.143403670  fv Log-Normal        Cox, Gamma    FALSE #> 7317   458 0.6686242 0.128940301  fv Log-Normal        Cox, Gamma    FALSE #> 7333   459 0.7889405 0.148922011  fv Log-Normal        Cox, Gamma    FALSE #> 7349   460 0.5358846 0.103974358  fv Log-Normal        Cox, Gamma    FALSE #> 7365   461 0.6733711 0.128134140  fv Log-Normal        Cox, Gamma    FALSE #> 7381   462 0.5991040 0.115019026  fv Log-Normal        Cox, Gamma    FALSE #> 7397   463 0.8014668 0.152431379  fv Log-Normal        Cox, Gamma    FALSE #> 7413   464 0.6531009 0.124232793  fv Log-Normal        Cox, Gamma    FALSE #> 7429   465 0.7414829 0.140694298  fv Log-Normal        Cox, Gamma    FALSE #> 7445   466 0.7425237 0.140996639  fv Log-Normal        Cox, Gamma    FALSE #> 7461   467 0.6586817 0.127143401  fv Log-Normal        Cox, Gamma    FALSE #> 7477   468 0.7449020 0.139983687  fv Log-Normal        Cox, Gamma    FALSE #> 7493   469 0.7953894 0.151211847  fv Log-Normal        Cox, Gamma    FALSE #> 7509   470 0.6709136 0.129021836  fv Log-Normal        Cox, Gamma    FALSE #> 7525   471 0.5187494 0.101602830  fv Log-Normal        Cox, Gamma    FALSE #> 7541   472 0.7762352 0.146346463  fv Log-Normal        Cox, Gamma    FALSE #> 7557   473 0.6079842 0.117712573  fv Log-Normal        Cox, Gamma    FALSE #> 7573   474 0.8214972 0.153722361  fv Log-Normal        Cox, Gamma    FALSE #> 7589   475 0.5320746 0.103794209  fv Log-Normal        Cox, Gamma    FALSE #> 7605   476 0.4423624 0.088897145  fv Log-Normal        Cox, Gamma    FALSE #> 7621   477 0.4959494 0.099039376  fv Log-Normal        Cox, Gamma    FALSE #> 7637   478 0.6609360 0.125421024  fv Log-Normal        Cox, Gamma    FALSE #> 7653   479 0.6794332 0.129846506  fv Log-Normal        Cox, Gamma    FALSE #> 7669   480 0.9217237 0.171612582  fv Log-Normal        Cox, Gamma    FALSE #> 7685   481 0.8691868 0.161785535  fv Log-Normal        Cox, Gamma    FALSE #> 7701   482 0.6070555 0.116947739  fv Log-Normal        Cox, Gamma    FALSE #> 7717   483 0.7383561 0.139682652  fv Log-Normal        Cox, Gamma    FALSE #> 7733   484 0.7324532 0.138770244  fv Log-Normal        Cox, Gamma    FALSE #> 7749   485 0.5259924 0.102916295  fv Log-Normal        Cox, Gamma    FALSE #> 7765   486 0.3905568 0.078816713  fv Log-Normal        Cox, Gamma    FALSE #> 7781   487 0.7444582 0.140331842  fv Log-Normal        Cox, Gamma    FALSE #> 7797   488 0.3979924 0.080542514  fv Log-Normal        Cox, Gamma    FALSE #> 7813   489 0.6556261 0.126188084  fv Log-Normal        Cox, Gamma    FALSE #> 7829   490 0.6030237          NA  fv Log-Normal        Cox, Gamma       NA #> 7845   491 0.6246608 0.120905487  fv Log-Normal        Cox, Gamma    FALSE #> 7861   492 0.4825731 0.094903496  fv Log-Normal        Cox, Gamma    FALSE #> 7877   493 0.9584215 0.177094162  fv Log-Normal        Cox, Gamma    FALSE #> 7893   494 0.6014177          NA  fv Log-Normal        Cox, Gamma       NA #> 7909   495 0.7160493 0.135345935  fv Log-Normal        Cox, Gamma    FALSE #> 7925   496 0.8782739 0.009032245  fv Log-Normal        Cox, Gamma     TRUE #> 7941   497 0.5213246 0.102227484  fv Log-Normal        Cox, Gamma    FALSE #> 7957   498 0.6085879          NA  fv Log-Normal        Cox, Gamma       NA #> 7973   499 0.7577549 0.144119208  fv Log-Normal        Cox, Gamma    FALSE #> 7989   500 0.6578232          NA  fv Log-Normal        Cox, Gamma       NA #> 8005   501 1.1931654 0.214830369  fv Log-Normal        Cox, Gamma     TRUE #> 8021   502 0.7043797 0.134622077  fv Log-Normal        Cox, Gamma    FALSE #> 8037   503 0.6449373 0.123467432  fv Log-Normal        Cox, Gamma    FALSE #> 8053   504 0.7763836 0.146112050  fv Log-Normal        Cox, Gamma    FALSE #> 8069   505 0.6039837 0.115828958  fv Log-Normal        Cox, Gamma    FALSE #> 8085   506 0.8130845 0.152643800  fv Log-Normal        Cox, Gamma    FALSE #> 8101   507 0.5864967 0.112727930  fv Log-Normal        Cox, Gamma    FALSE #> 8117   508 0.5052933 0.100823068  fv Log-Normal        Cox, Gamma    FALSE #> 8133   509 0.5737083 0.111195098  fv Log-Normal        Cox, Gamma    FALSE #> 8149   510 0.5598720 0.108532643  fv Log-Normal        Cox, Gamma    FALSE #> 8165   511 0.4042964 0.081176179  fv Log-Normal        Cox, Gamma    FALSE #> 8181   512 0.5921053 0.114606976  fv Log-Normal        Cox, Gamma    FALSE #> 8197   513 0.6463252 0.123735617  fv Log-Normal        Cox, Gamma    FALSE #> 8213   514 0.6396754 0.123749665  fv Log-Normal        Cox, Gamma    FALSE #> 8229   515 0.5031870 0.099629425  fv Log-Normal        Cox, Gamma    FALSE #> 8245   516 0.6478424 0.124667693  fv Log-Normal        Cox, Gamma    FALSE #> 8261   517 0.3317136 0.068474900  fv Log-Normal        Cox, Gamma    FALSE #> 8277   518 0.6553708 0.125632038  fv Log-Normal        Cox, Gamma    FALSE #> 8293   519 0.6725635 0.128430012  fv Log-Normal        Cox, Gamma    FALSE #> 8309   520 0.6841932 0.129888821  fv Log-Normal        Cox, Gamma    FALSE #> 8325   521 0.6377897          NA  fv Log-Normal        Cox, Gamma       NA #> 8341   522 0.4878991 0.096317522  fv Log-Normal        Cox, Gamma    FALSE #> 8357   523 0.6491452 0.123990211  fv Log-Normal        Cox, Gamma    FALSE #> 8373   524 0.5224167 0.104004647  fv Log-Normal        Cox, Gamma    FALSE #> 8389   525 0.6777538 0.130516488  fv Log-Normal        Cox, Gamma    FALSE #> 8405   526 0.5584814 0.109562292  fv Log-Normal        Cox, Gamma    FALSE #> 8421   527 0.6843104 0.132090449  fv Log-Normal        Cox, Gamma    FALSE #> 8437   528 0.7413526 0.140137362  fv Log-Normal        Cox, Gamma    FALSE #> 8453   529 0.7941552 0.148738686  fv Log-Normal        Cox, Gamma    FALSE #> 8469   530 0.3946714 0.079959532  fv Log-Normal        Cox, Gamma    FALSE #> 8485   531 0.7861082 0.147135826  fv Log-Normal        Cox, Gamma    FALSE #> 8501   532 0.6150512          NA  fv Log-Normal        Cox, Gamma       NA #> 8517   533 0.6126927 0.118046878  fv Log-Normal        Cox, Gamma    FALSE #> 8533   534 0.6733886 0.129512171  fv Log-Normal        Cox, Gamma    FALSE #> 8549   535 0.7332816 0.138322504  fv Log-Normal        Cox, Gamma    FALSE #> 8565   536 0.5205081 0.102413941  fv Log-Normal        Cox, Gamma    FALSE #> 8581   537 1.0384914 0.188738973  fv Log-Normal        Cox, Gamma     TRUE #> 8597   538 0.4543334 0.090536911  fv Log-Normal        Cox, Gamma    FALSE #> 8613   539 0.6715901          NA  fv Log-Normal        Cox, Gamma       NA #> 8629   540 0.5523389 0.107900473  fv Log-Normal        Cox, Gamma    FALSE #> 8645   541 0.8043327 0.150755997  fv Log-Normal        Cox, Gamma    FALSE #> 8661   542 0.6934063 0.132246580  fv Log-Normal        Cox, Gamma    FALSE #> 8677   543 0.7469130 0.142208358  fv Log-Normal        Cox, Gamma    FALSE #> 8693   544 0.6771137 0.129576795  fv Log-Normal        Cox, Gamma    FALSE #> 8709   545 0.5138754 0.100742098  fv Log-Normal        Cox, Gamma    FALSE #> 8725   546 0.8303685 0.156135534  fv Log-Normal        Cox, Gamma    FALSE #> 8741   547 0.6111091 0.118380971  fv Log-Normal        Cox, Gamma    FALSE #> 8757   548 0.5141719 0.102038969  fv Log-Normal        Cox, Gamma    FALSE #> 8773   549 0.7349328 0.138690104  fv Log-Normal        Cox, Gamma    FALSE #> 8789   550 0.5083307 0.101829261  fv Log-Normal        Cox, Gamma    FALSE #> 8805   551 0.6683084 0.127523621  fv Log-Normal        Cox, Gamma    FALSE #> 8821   552 0.6281157          NA  fv Log-Normal        Cox, Gamma       NA #> 8837   553 0.7055114 0.132958925  fv Log-Normal        Cox, Gamma    FALSE #> 8853   554 0.8280844 0.156933583  fv Log-Normal        Cox, Gamma    FALSE #> 8869   555 0.6843468 0.130041654  fv Log-Normal        Cox, Gamma    FALSE #> 8885   556 0.7533713 0.142048697  fv Log-Normal        Cox, Gamma    FALSE #> 8901   557 0.6250902 0.120157525  fv Log-Normal        Cox, Gamma    FALSE #> 8917   558 0.6066749 0.117016286  fv Log-Normal        Cox, Gamma    FALSE #> 8933   559 0.5426162 0.106388816  fv Log-Normal        Cox, Gamma    FALSE #> 8949   560 0.7141690 0.135766994  fv Log-Normal        Cox, Gamma    FALSE #> 8965   561 1.0274772 0.187741551  fv Log-Normal        Cox, Gamma     TRUE #> 8981   562 0.7421217 0.140796140  fv Log-Normal        Cox, Gamma    FALSE #> 8997   563 0.6799533 0.129434410  fv Log-Normal        Cox, Gamma    FALSE #> 9013   564 0.5069500 0.099182157  fv Log-Normal        Cox, Gamma    FALSE #> 9029   565 0.5192371 0.102478262  fv Log-Normal        Cox, Gamma    FALSE #> 9045   566 0.6242465 0.120118523  fv Log-Normal        Cox, Gamma    FALSE #> 9061   567 0.5965461 0.115018660  fv Log-Normal        Cox, Gamma    FALSE #> 9077   568 0.4716597 0.093558081  fv Log-Normal        Cox, Gamma    FALSE #> 9093   569 0.7968988 0.150002405  fv Log-Normal        Cox, Gamma    FALSE #> 9109   570 0.4621690 0.091289543  fv Log-Normal        Cox, Gamma    FALSE #> 9125   571 0.5841130 0.112584938  fv Log-Normal        Cox, Gamma    FALSE #> 9141   572 0.5706712 0.111580535  fv Log-Normal        Cox, Gamma    FALSE #> 9157   573 0.5738192 0.111598149  fv Log-Normal        Cox, Gamma    FALSE #> 9173   574 0.6448252 0.123758649  fv Log-Normal        Cox, Gamma    FALSE #> 9189   575 0.5479147 0.107160503  fv Log-Normal        Cox, Gamma    FALSE #> 9205   576 0.5551117 0.108212537  fv Log-Normal        Cox, Gamma    FALSE #> 9221   577 0.9281460 0.174612909  fv Log-Normal        Cox, Gamma    FALSE #> 9237   578 0.5259939 0.103027487  fv Log-Normal        Cox, Gamma    FALSE #> 9253   579 0.5383092 0.106116519  fv Log-Normal        Cox, Gamma    FALSE #> 9269   580 0.4711285 0.094424105  fv Log-Normal        Cox, Gamma    FALSE #> 9285   581 0.6494811 0.124008306  fv Log-Normal        Cox, Gamma    FALSE #> 9301   582 0.6771744 0.129385168  fv Log-Normal        Cox, Gamma    FALSE #> 9317   583 0.8865092 0.163523339  fv Log-Normal        Cox, Gamma    FALSE #> 9333   584 0.5000000 0.098868076  fv Log-Normal        Cox, Gamma    FALSE #> 9349   585 0.6156845 0.118126235  fv Log-Normal        Cox, Gamma    FALSE #> 9365   586 0.6909358 0.132262861  fv Log-Normal        Cox, Gamma    FALSE #> 9381   587 0.8254731 0.156164504  fv Log-Normal        Cox, Gamma    FALSE #> 9397   588 0.4985840 0.098185971  fv Log-Normal        Cox, Gamma    FALSE #> 9413   589 0.5667331 0.110590810  fv Log-Normal        Cox, Gamma    FALSE #> 9429   590 0.6755327 0.128974744  fv Log-Normal        Cox, Gamma    FALSE #> 9445   591 0.7100735 0.134783444  fv Log-Normal        Cox, Gamma    FALSE #> 9461   592 0.6398759 0.122043702  fv Log-Normal        Cox, Gamma    FALSE #> 9477   593 0.8497606 0.159346921  fv Log-Normal        Cox, Gamma    FALSE #> 9493   594 0.5974971 0.114783658  fv Log-Normal        Cox, Gamma    FALSE #> 9509   595 0.4889633 0.096514942  fv Log-Normal        Cox, Gamma    FALSE #> 9525   596 0.7551888 0.146743300  fv Log-Normal        Cox, Gamma    FALSE #> 9541   597 0.5546966 0.108577585  fv Log-Normal        Cox, Gamma    FALSE #> 9557   598 0.8867973 0.164441792  fv Log-Normal        Cox, Gamma    FALSE #> 9573   599 0.7171896 0.139493732  fv Log-Normal        Cox, Gamma    FALSE #> 9589   600 0.4879105 0.096772910  fv Log-Normal        Cox, Gamma    FALSE #> 9605   601 1.0026921          NA  fv Log-Normal        Cox, Gamma     TRUE #> 9621   602 0.9325088 0.173557163  fv Log-Normal        Cox, Gamma    FALSE #> 9637   603 0.3888751 0.079033438  fv Log-Normal        Cox, Gamma    FALSE #> 9653   604 0.6842209 0.130715889  fv Log-Normal        Cox, Gamma    FALSE #> 9669   605 1.2003127 0.217054265  fv Log-Normal        Cox, Gamma     TRUE #> 9685   606 0.6547442          NA  fv Log-Normal        Cox, Gamma       NA #> 9701   607 0.5317105 0.105097289  fv Log-Normal        Cox, Gamma    FALSE #> 9717   608 0.3897320 0.078854986  fv Log-Normal        Cox, Gamma    FALSE #> 9733   609 0.7396654 0.139623911  fv Log-Normal        Cox, Gamma    FALSE #> 9749   610 0.5778586 0.112592700  fv Log-Normal        Cox, Gamma    FALSE #> 9765   611 0.7311360 0.139959143  fv Log-Normal        Cox, Gamma    FALSE #> 9781   612 0.4822317 0.094986841  fv Log-Normal        Cox, Gamma    FALSE #> 9797   613 0.6700561 0.127315233  fv Log-Normal        Cox, Gamma    FALSE #> 9813   614 0.6139652 0.117963537  fv Log-Normal        Cox, Gamma    FALSE #> 9829   615 0.7041258 0.133147573  fv Log-Normal        Cox, Gamma    FALSE #> 9845   616 0.6486597 0.123698992  fv Log-Normal        Cox, Gamma    FALSE #> 9861   617 0.6631049 0.126776116  fv Log-Normal        Cox, Gamma    FALSE #> 9877   618 0.6326642 0.122967228  fv Log-Normal        Cox, Gamma    FALSE #> 9893   619 0.7031687 0.133526200  fv Log-Normal        Cox, Gamma    FALSE #> 9909   620 0.7016931 0.134030260  fv Log-Normal        Cox, Gamma    FALSE #> 9925   621 0.4804179 0.094630231  fv Log-Normal        Cox, Gamma    FALSE #> 9941   622 0.5398830 0.105518836  fv Log-Normal        Cox, Gamma    FALSE #> 9957   623 0.7882768          NA  fv Log-Normal        Cox, Gamma       NA #> 9973   624 0.5199565 0.102594438  fv Log-Normal        Cox, Gamma    FALSE #> 9989   625 0.6821884 0.131007762  fv Log-Normal        Cox, Gamma    FALSE #> 10005  626 0.5553299 0.108156062  fv Log-Normal        Cox, Gamma    FALSE #> 10021  627 0.5171324 0.100946474  fv Log-Normal        Cox, Gamma    FALSE #> 10037  628 0.6021959 0.117996583  fv Log-Normal        Cox, Gamma    FALSE #> 10053  629 0.5988361 0.116317156  fv Log-Normal        Cox, Gamma    FALSE #> 10069  630 0.7275214 0.137648611  fv Log-Normal        Cox, Gamma    FALSE #> 10085  631 0.6014324 0.116267022  fv Log-Normal        Cox, Gamma    FALSE #> 10101  632 0.6539662 0.125735227  fv Log-Normal        Cox, Gamma    FALSE #> 10117  633 0.4515294 0.090140744  fv Log-Normal        Cox, Gamma    FALSE #> 10133  634 0.5366501 0.104960671  fv Log-Normal        Cox, Gamma    FALSE #> 10149  635 0.7992162 0.151686284  fv Log-Normal        Cox, Gamma    FALSE #> 10165  636 0.3679142 0.074745635  fv Log-Normal        Cox, Gamma    FALSE #> 10181  637 0.8172567 0.153430015  fv Log-Normal        Cox, Gamma    FALSE #> 10197  638 0.6188470 0.119900789  fv Log-Normal        Cox, Gamma    FALSE #> 10213  639 0.4075475 0.082636108  fv Log-Normal        Cox, Gamma    FALSE #> 10229  640 0.6079813 0.117311944  fv Log-Normal        Cox, Gamma    FALSE #> 10245  641 0.5327991 0.105035147  fv Log-Normal        Cox, Gamma    FALSE #> 10261  642 0.5597292 0.109129262  fv Log-Normal        Cox, Gamma    FALSE #> 10277  643 0.6139384 0.118367241  fv Log-Normal        Cox, Gamma    FALSE #> 10293  644 0.5866635          NA  fv Log-Normal        Cox, Gamma       NA #> 10309  645 0.7208784 0.137431969  fv Log-Normal        Cox, Gamma    FALSE #> 10325  646 0.6933400 0.131413088  fv Log-Normal        Cox, Gamma    FALSE #> 10341  647 0.5671578 0.109870687  fv Log-Normal        Cox, Gamma    FALSE #> 10357  648 0.9313582 0.172295847  fv Log-Normal        Cox, Gamma    FALSE #> 10373  649 0.5481963 0.107649002  fv Log-Normal        Cox, Gamma    FALSE #> 10389  650 0.7605507 0.143662754  fv Log-Normal        Cox, Gamma    FALSE #> 10405  651 0.6464110 0.123572571  fv Log-Normal        Cox, Gamma    FALSE #> 10421  652 1.0094659          NA  fv Log-Normal        Cox, Gamma     TRUE #> 10437  653 0.4670246 0.092824199  fv Log-Normal        Cox, Gamma    FALSE #> 10453  654 0.5010104 0.099183261  fv Log-Normal        Cox, Gamma    FALSE #> 10469  655 0.6150549          NA  fv Log-Normal        Cox, Gamma       NA #> 10485  656 0.5876953 0.113979268  fv Log-Normal        Cox, Gamma    FALSE #> 10501  657 0.4694330 0.093140718  fv Log-Normal        Cox, Gamma    FALSE #> 10517  658 0.9549667 0.176185188  fv Log-Normal        Cox, Gamma    FALSE #> 10533  659 0.9190884 0.171500306  fv Log-Normal        Cox, Gamma    FALSE #> 10549  660 0.6910145 0.131000152  fv Log-Normal        Cox, Gamma    FALSE #> 10565  661 0.4568377 0.090509242  fv Log-Normal        Cox, Gamma    FALSE #> 10581  662 0.5172112 0.101535270  fv Log-Normal        Cox, Gamma    FALSE #> 10597  663 0.5894338 0.114077847  fv Log-Normal        Cox, Gamma    FALSE #> 10613  664 0.6056533 0.116455334  fv Log-Normal        Cox, Gamma    FALSE #> 10629  665 0.7852957 0.148553995  fv Log-Normal        Cox, Gamma    FALSE #> 10645  666 0.9859896 0.180554439  fv Log-Normal        Cox, Gamma     TRUE #> 10661  667 0.5862766 0.113642712  fv Log-Normal        Cox, Gamma    FALSE #> 10677  668 0.5949446 0.115866220  fv Log-Normal        Cox, Gamma    FALSE #> 10693  669 0.7850263 0.147802853  fv Log-Normal        Cox, Gamma    FALSE #> 10709  670 0.5635746          NA  fv Log-Normal        Cox, Gamma       NA #> 10725  671 0.7259235 0.138202958  fv Log-Normal        Cox, Gamma    FALSE #> 10741  672 0.8718181 0.163010978  fv Log-Normal        Cox, Gamma    FALSE #> 10757  673 0.6408388 0.123876096  fv Log-Normal        Cox, Gamma    FALSE #> 10773  674 0.7466389 0.142055048  fv Log-Normal        Cox, Gamma    FALSE #> 10789  675 0.5421365 0.106966298  fv Log-Normal        Cox, Gamma    FALSE #> 10805  676 0.8391278 0.157251504  fv Log-Normal        Cox, Gamma    FALSE #> 10821  677 0.6225082 0.120465864  fv Log-Normal        Cox, Gamma    FALSE #> 10837  678 0.5245500 0.103447698  fv Log-Normal        Cox, Gamma    FALSE #> 10853  679 0.5851618          NA  fv Log-Normal        Cox, Gamma       NA #> 10869  680 0.6683333 0.127906739  fv Log-Normal        Cox, Gamma    FALSE #> 10885  681 0.8702246 0.162150474  fv Log-Normal        Cox, Gamma    FALSE #> 10901  682 0.5397913 0.104974509  fv Log-Normal        Cox, Gamma    FALSE #> 10917  683 0.7569255 0.145064290  fv Log-Normal        Cox, Gamma    FALSE #> 10933  684 0.9591995 0.177344786  fv Log-Normal        Cox, Gamma    FALSE #> 10949  685 0.5623235 0.109076488  fv Log-Normal        Cox, Gamma    FALSE #> 10965  686 0.8192108 0.153746623  fv Log-Normal        Cox, Gamma    FALSE #> 10981  687 0.5286876 0.103347965  fv Log-Normal        Cox, Gamma    FALSE #> 10997  688 0.5358129 0.105056766  fv Log-Normal        Cox, Gamma    FALSE #> 11013  689 0.5913183 0.115293694  fv Log-Normal        Cox, Gamma    FALSE #> 11029  690 0.7268248 0.137887225  fv Log-Normal        Cox, Gamma    FALSE #> 11045  691 0.7463031 0.145380092  fv Log-Normal        Cox, Gamma    FALSE #> 11061  692 0.5489217 0.106600253  fv Log-Normal        Cox, Gamma    FALSE #> 11077  693 0.4519482 0.090149874  fv Log-Normal        Cox, Gamma    FALSE #> 11093  694 0.6822745 0.130763160  fv Log-Normal        Cox, Gamma    FALSE #> 11109  695 0.5559127 0.108383281  fv Log-Normal        Cox, Gamma    FALSE #> 11125  696 0.6691356 0.127526992  fv Log-Normal        Cox, Gamma    FALSE #> 11141  697 0.8042098 0.152144346  fv Log-Normal        Cox, Gamma    FALSE #> 11157  698 0.4023952 0.081060891  fv Log-Normal        Cox, Gamma    FALSE #> 11173  699 0.6212888 0.120567498  fv Log-Normal        Cox, Gamma    FALSE #> 11189  700 0.4839348 0.095596275  fv Log-Normal        Cox, Gamma    FALSE #> 11205  701 0.7137080 0.135569766  fv Log-Normal        Cox, Gamma    FALSE #> 11221  702 0.7879064 0.150369164  fv Log-Normal        Cox, Gamma    FALSE #> 11237  703 0.6841934 0.131021982  fv Log-Normal        Cox, Gamma    FALSE #> 11253  704 0.5994003 0.116696139  fv Log-Normal        Cox, Gamma    FALSE #> 11269  705 0.5822209 0.112386316  fv Log-Normal        Cox, Gamma    FALSE #> 11285  706 0.6451694 0.123668202  fv Log-Normal        Cox, Gamma    FALSE #> 11301  707 0.7728336 0.144921118  fv Log-Normal        Cox, Gamma    FALSE #> 11317  708 0.7578368 0.142268276  fv Log-Normal        Cox, Gamma    FALSE #> 11333  709 0.7044466 0.137535324  fv Log-Normal        Cox, Gamma    FALSE #> 11349  710 0.4848854 0.096366538  fv Log-Normal        Cox, Gamma    FALSE #> 11365  711 0.6696038 0.131629200  fv Log-Normal        Cox, Gamma    FALSE #> 11381  712 0.6364269          NA  fv Log-Normal        Cox, Gamma       NA #> 11397  713 0.8785677 0.164027544  fv Log-Normal        Cox, Gamma    FALSE #> 11413  714 0.7289698 0.139114880  fv Log-Normal        Cox, Gamma    FALSE #> 11429  715 0.6760923 0.128597343  fv Log-Normal        Cox, Gamma    FALSE #> 11445  716 0.6206559 0.118841559  fv Log-Normal        Cox, Gamma    FALSE #> 11461  717 0.6715545 0.128487711  fv Log-Normal        Cox, Gamma    FALSE #> 11477  718 0.7875216 0.148889321  fv Log-Normal        Cox, Gamma    FALSE #> 11493  719 0.9351608 0.174706425  fv Log-Normal        Cox, Gamma    FALSE #> 11509  720 0.6329848 0.120820543  fv Log-Normal        Cox, Gamma    FALSE #> 11525  721 0.5076976 0.099834680  fv Log-Normal        Cox, Gamma    FALSE #> 11541  722 0.7036759 0.133565138  fv Log-Normal        Cox, Gamma    FALSE #> 11557  723 0.5811768 0.113354759  fv Log-Normal        Cox, Gamma    FALSE #> 11573  724 0.6810073 0.131625143  fv Log-Normal        Cox, Gamma    FALSE #> 11589  725 0.6749253 0.128842134  fv Log-Normal        Cox, Gamma    FALSE #> 11605  726 0.5682980 0.110789939  fv Log-Normal        Cox, Gamma    FALSE #> 11621  727 0.6973867 0.132403499  fv Log-Normal        Cox, Gamma    FALSE #> 11637  728 0.9034403 0.167176467  fv Log-Normal        Cox, Gamma    FALSE #> 11653  729 0.6618256 0.126659612  fv Log-Normal        Cox, Gamma    FALSE #> 11669  730 0.7355975 0.139569325  fv Log-Normal        Cox, Gamma    FALSE #> 11685  731 0.4578597 0.091222814  fv Log-Normal        Cox, Gamma    FALSE #> 11701  732 0.3962879 0.079619289  fv Log-Normal        Cox, Gamma    FALSE #> 11717  733 0.7799217 0.146397355  fv Log-Normal        Cox, Gamma    FALSE #> 11733  734 0.7250782 0.136961355  fv Log-Normal        Cox, Gamma    FALSE #> 11749  735 0.8080674 0.150410061  fv Log-Normal        Cox, Gamma    FALSE #> 11765  736 0.7302051 0.138445599  fv Log-Normal        Cox, Gamma    FALSE #> 11781  737 0.6501185 0.124084760  fv Log-Normal        Cox, Gamma    FALSE #> 11797  738 0.5133997 0.101780781  fv Log-Normal        Cox, Gamma    FALSE #> 11813  739 0.5361525 0.104999322  fv Log-Normal        Cox, Gamma    FALSE #> 11829  740 0.7272712 0.138201013  fv Log-Normal        Cox, Gamma    FALSE #> 11845  741 0.7920042 0.148046562  fv Log-Normal        Cox, Gamma    FALSE #> 11861  742 0.5971878 0.115515589  fv Log-Normal        Cox, Gamma    FALSE #> 11877  743 0.6372487 0.122156878  fv Log-Normal        Cox, Gamma    FALSE #> 11893  744 0.6076604 0.117080863  fv Log-Normal        Cox, Gamma    FALSE #> 11909  745 0.6258474 0.120185601  fv Log-Normal        Cox, Gamma    FALSE #> 11925  746 0.6137741 0.122398199  fv Log-Normal        Cox, Gamma    FALSE #> 11941  747 0.5661390 0.109952145  fv Log-Normal        Cox, Gamma    FALSE #> 11957  748 0.8181814 0.154842528  fv Log-Normal        Cox, Gamma    FALSE #> 11973  749 0.8883396 0.166043136  fv Log-Normal        Cox, Gamma    FALSE #> 11989  750 0.6714251 0.128300301  fv Log-Normal        Cox, Gamma    FALSE #> 12005  751 0.7715463 0.145206839  fv Log-Normal        Cox, Gamma    FALSE #> 12021  752 0.6441060 0.126152659  fv Log-Normal        Cox, Gamma    FALSE #> 12037  753 0.4018435 0.081668489  fv Log-Normal        Cox, Gamma    FALSE #> 12053  754 0.6463386 0.123715910  fv Log-Normal        Cox, Gamma    FALSE #> 12069  755 0.5965575 0.115533717  fv Log-Normal        Cox, Gamma    FALSE #> 12085  756 0.3440358 0.070858933  fv Log-Normal        Cox, Gamma    FALSE #> 12101  757 0.6413942 0.123412706  fv Log-Normal        Cox, Gamma    FALSE #> 12117  758 0.6787276 0.129764259  fv Log-Normal        Cox, Gamma    FALSE #> 12133  759 0.5787070 0.112332541  fv Log-Normal        Cox, Gamma    FALSE #> 12149  760 0.8563906 0.161448535  fv Log-Normal        Cox, Gamma    FALSE #> 12165  761 0.5460240 0.107074937  fv Log-Normal        Cox, Gamma    FALSE #> 12181  762 0.7127921 0.136154341  fv Log-Normal        Cox, Gamma    FALSE #> 12197  763 0.5129074 0.101292545  fv Log-Normal        Cox, Gamma    FALSE #> 12213  764 0.5763837 0.111781244  fv Log-Normal        Cox, Gamma    FALSE #> 12229  765 0.7664589 0.143748738  fv Log-Normal        Cox, Gamma    FALSE #> 12245  766 0.5600605 0.108454352  fv Log-Normal        Cox, Gamma    FALSE #> 12261  767 0.7366908 0.139359440  fv Log-Normal        Cox, Gamma    FALSE #> 12277  768 0.4817040 0.094934157  fv Log-Normal        Cox, Gamma    FALSE #> 12293  769 0.8405919 0.157104432  fv Log-Normal        Cox, Gamma    FALSE #> 12309  770 0.5195843 0.102208060  fv Log-Normal        Cox, Gamma    FALSE #> 12325  771 0.5317918 0.106680566  fv Log-Normal        Cox, Gamma    FALSE #> 12341  772 0.5016173 0.098605760  fv Log-Normal        Cox, Gamma    FALSE #> 12357  773 0.5638723 0.111342842  fv Log-Normal        Cox, Gamma    FALSE #> 12373  774 0.6730202 0.129443064  fv Log-Normal        Cox, Gamma    FALSE #> 12389  775 0.6121184          NA  fv Log-Normal        Cox, Gamma       NA #> 12405  776 0.5603536 0.108454516  fv Log-Normal        Cox, Gamma    FALSE #> 12421  777 0.5635692 0.109901110  fv Log-Normal        Cox, Gamma    FALSE #> 12437  778 0.5287791 0.103608108  fv Log-Normal        Cox, Gamma    FALSE #> 12453  779 0.5459400 0.106667094  fv Log-Normal        Cox, Gamma    FALSE #> 12469  780 0.5454313 0.106487875  fv Log-Normal        Cox, Gamma    FALSE #> 12485  781 0.6435394 0.123723033  fv Log-Normal        Cox, Gamma    FALSE #> 12501  782 0.5440785 0.106183644  fv Log-Normal        Cox, Gamma    FALSE #> 12517  783 0.5646684 0.110072451  fv Log-Normal        Cox, Gamma    FALSE #> 12533  784 0.7140410 0.135997697  fv Log-Normal        Cox, Gamma    FALSE #> 12549  785 0.4320567 0.086209585  fv Log-Normal        Cox, Gamma    FALSE #> 12565  786 0.5871582 0.114417704  fv Log-Normal        Cox, Gamma    FALSE #> 12581  787 0.8307302 0.154887306  fv Log-Normal        Cox, Gamma    FALSE #> 12597  788 0.6235801          NA  fv Log-Normal        Cox, Gamma       NA #> 12613  789 0.7648412 0.144381392  fv Log-Normal        Cox, Gamma    FALSE #> 12629  790 0.6109958 0.117593356  fv Log-Normal        Cox, Gamma    FALSE #> 12645  791 0.3740806 0.075608302  fv Log-Normal        Cox, Gamma    FALSE #> 12661  792 0.5561341 0.110068462  fv Log-Normal        Cox, Gamma    FALSE #> 12677  793 0.7406961 0.139600573  fv Log-Normal        Cox, Gamma    FALSE #> 12693  794 0.6753768 0.133145979  fv Log-Normal        Cox, Gamma    FALSE #> 12709  795 0.5773739 0.112448186  fv Log-Normal        Cox, Gamma    FALSE #> 12725  796 0.5102600 0.100449198  fv Log-Normal        Cox, Gamma    FALSE #> 12741  797 0.5152045 0.100934224  fv Log-Normal        Cox, Gamma    FALSE #> 12757  798 0.4019849 0.081496314  fv Log-Normal        Cox, Gamma    FALSE #> 12773  799 0.6295888 0.120381526  fv Log-Normal        Cox, Gamma    FALSE #> 12789  800 0.6506860 0.125151707  fv Log-Normal        Cox, Gamma    FALSE #> 12805  801 0.9235044 0.172121125  fv Log-Normal        Cox, Gamma    FALSE #> 12821  802 0.6243786 0.119285799  fv Log-Normal        Cox, Gamma    FALSE #> 12837  803 0.6127131 0.118494093  fv Log-Normal        Cox, Gamma    FALSE #> 12853  804 0.6683181 0.127845508  fv Log-Normal        Cox, Gamma    FALSE #> 12869  805 0.8655709 0.164958554  fv Log-Normal        Cox, Gamma    FALSE #> 12885  806 0.8307338 0.158511657  fv Log-Normal        Cox, Gamma    FALSE #> 12901  807 0.6847624 0.007098338  fv Log-Normal        Cox, Gamma     TRUE #> 12917  808 0.4608903 0.091363357  fv Log-Normal        Cox, Gamma    FALSE #> 12933  809 0.5746463 0.111581806  fv Log-Normal        Cox, Gamma    FALSE #> 12949  810 0.6261066 0.120222463  fv Log-Normal        Cox, Gamma    FALSE #> 12965  811 0.4101906 0.082327643  fv Log-Normal        Cox, Gamma    FALSE #> 12981  812 0.6375601 0.122977631  fv Log-Normal        Cox, Gamma    FALSE #> 12997  813 0.7067174 0.133583771  fv Log-Normal        Cox, Gamma    FALSE #> 13013  814 0.6125992 0.118493837  fv Log-Normal        Cox, Gamma    FALSE #> 13029  815 0.5418829 0.107600002  fv Log-Normal        Cox, Gamma    FALSE #> 13045  816 0.5858533          NA  fv Log-Normal        Cox, Gamma       NA #> 13061  817 0.4076984 0.081983169  fv Log-Normal        Cox, Gamma    FALSE #> 13077  818 0.6378915 0.124745913  fv Log-Normal        Cox, Gamma    FALSE #> 13093  819 0.7019073 0.132946154  fv Log-Normal        Cox, Gamma    FALSE #> 13109  820 0.8104918 0.153613082  fv Log-Normal        Cox, Gamma    FALSE #> 13125  821 0.4928717 0.096887270  fv Log-Normal        Cox, Gamma    FALSE #> 13141  822 0.8106514 0.152692972  fv Log-Normal        Cox, Gamma    FALSE #> 13157  823 0.9414082 0.176020573  fv Log-Normal        Cox, Gamma    FALSE #> 13173  824 0.7807771 0.147247985  fv Log-Normal        Cox, Gamma    FALSE #> 13189  825 0.7034024 0.134541272  fv Log-Normal        Cox, Gamma    FALSE #> 13205  826 0.7094238 0.135741788  fv Log-Normal        Cox, Gamma    FALSE #> 13221  827 0.8135921 0.154539346  fv Log-Normal        Cox, Gamma    FALSE #> 13237  828 0.5962366 0.116746571  fv Log-Normal        Cox, Gamma    FALSE #> 13253  829 0.6516192 0.125243568  fv Log-Normal        Cox, Gamma    FALSE #> 13269  830 0.7515323 0.142232279  fv Log-Normal        Cox, Gamma    FALSE #> 13285  831 0.6930557 0.131294024  fv Log-Normal        Cox, Gamma    FALSE #> 13301  832 0.4914554 0.097267429  fv Log-Normal        Cox, Gamma    FALSE #> 13317  833 0.7539417 0.142658069  fv Log-Normal        Cox, Gamma    FALSE #> 13333  834 0.5800657 0.113033660  fv Log-Normal        Cox, Gamma    FALSE #> 13349  835 0.6207208 0.120104030  fv Log-Normal        Cox, Gamma    FALSE #> 13365  836 0.6793893 0.129865727  fv Log-Normal        Cox, Gamma    FALSE #> 13381  837 0.7548904 0.143482390  fv Log-Normal        Cox, Gamma    FALSE #> 13397  838 0.6016750 0.116332111  fv Log-Normal        Cox, Gamma    FALSE #> 13413  839 0.5676191 0.111629149  fv Log-Normal        Cox, Gamma    FALSE #> 13429  840 0.5784233 0.006032357  fv Log-Normal        Cox, Gamma     TRUE #> 13445  841 0.9024294 0.169028872  fv Log-Normal        Cox, Gamma    FALSE #> 13461  842 0.4944220 0.097387303  fv Log-Normal        Cox, Gamma    FALSE #> 13477  843 0.6174343          NA  fv Log-Normal        Cox, Gamma       NA #> 13493  844 0.7765827 0.145469783  fv Log-Normal        Cox, Gamma    FALSE #> 13509  845 0.8061865 0.151157541  fv Log-Normal        Cox, Gamma    FALSE #> 13525  846 0.4946398 0.097713008  fv Log-Normal        Cox, Gamma    FALSE #> 13541  847 0.8872828 0.164244428  fv Log-Normal        Cox, Gamma    FALSE #> 13557  848 0.6722396 0.128137186  fv Log-Normal        Cox, Gamma    FALSE #> 13573  849 0.5499169 0.107476581  fv Log-Normal        Cox, Gamma    FALSE #> 13589  850 0.7639498 0.144795253  fv Log-Normal        Cox, Gamma    FALSE #> 13605  851 0.5845154 0.112833034  fv Log-Normal        Cox, Gamma    FALSE #> 13621  852 0.6056401 0.116696724  fv Log-Normal        Cox, Gamma    FALSE #> 13637  853 0.8570990 0.158665026  fv Log-Normal        Cox, Gamma    FALSE #> 13653  854 0.6183688          NA  fv Log-Normal        Cox, Gamma       NA #> 13669  855 0.5442098 0.106470731  fv Log-Normal        Cox, Gamma    FALSE #> 13685  856 0.7602114 0.143711564  fv Log-Normal        Cox, Gamma    FALSE #> 13701  857 0.7054449 0.134533671  fv Log-Normal        Cox, Gamma    FALSE #> 13717  858 0.8738845 0.162323725  fv Log-Normal        Cox, Gamma    FALSE #> 13733  859 0.8433205 0.158129658  fv Log-Normal        Cox, Gamma    FALSE #> 13749  860 0.6194807 0.120192334  fv Log-Normal        Cox, Gamma    FALSE #> 13765  861 0.4240218 0.085035129  fv Log-Normal        Cox, Gamma    FALSE #> 13781  862 0.5727095 0.111056530  fv Log-Normal        Cox, Gamma    FALSE #> 13797  863 0.5931713 0.114924197  fv Log-Normal        Cox, Gamma    FALSE #> 13813  864 0.7886915 0.148632446  fv Log-Normal        Cox, Gamma    FALSE #> 13829  865 0.8417216 0.157705339  fv Log-Normal        Cox, Gamma    FALSE #> 13845  866 0.7324513 0.140415114  fv Log-Normal        Cox, Gamma    FALSE #> 13861  867 0.5336145 0.105020826  fv Log-Normal        Cox, Gamma    FALSE #> 13877  868 0.8326129 0.157190658  fv Log-Normal        Cox, Gamma    FALSE #> 13893  869 0.4553176 0.090454476  fv Log-Normal        Cox, Gamma    FALSE #> 13909  870 0.7275115 0.139000119  fv Log-Normal        Cox, Gamma    FALSE #> 13925  871 0.4562028 0.090945564  fv Log-Normal        Cox, Gamma    FALSE #> 13941  872 0.4282411 0.086039728  fv Log-Normal        Cox, Gamma    FALSE #> 13957  873 0.7410010 0.139529175  fv Log-Normal        Cox, Gamma    FALSE #> 13973  874 0.6406572 0.123512358  fv Log-Normal        Cox, Gamma    FALSE #> 13989  875 0.5379126 0.104728825  fv Log-Normal        Cox, Gamma    FALSE #> 14005  876 0.5522451 0.108150503  fv Log-Normal        Cox, Gamma    FALSE #> 14021  877 0.5176314 0.102540214  fv Log-Normal        Cox, Gamma    FALSE #> 14037  878 0.6117499 0.118653415  fv Log-Normal        Cox, Gamma    FALSE #> 14053  879 0.6092139 0.117915292  fv Log-Normal        Cox, Gamma    FALSE #> 14069  880 0.7281917 0.137629429  fv Log-Normal        Cox, Gamma    FALSE #> 14085  881 0.4806627 0.094979574  fv Log-Normal        Cox, Gamma    FALSE #> 14101  882 0.6538869 0.126627474  fv Log-Normal        Cox, Gamma    FALSE #> 14117  883 0.5610964 0.109264809  fv Log-Normal        Cox, Gamma    FALSE #> 14133  884 0.4925104 0.097240268  fv Log-Normal        Cox, Gamma    FALSE #> 14149  885 0.6589978 0.126130195  fv Log-Normal        Cox, Gamma    FALSE #> 14165  886 0.5726060 0.111766627  fv Log-Normal        Cox, Gamma    FALSE #> 14181  887 0.3455108 0.071029692  fv Log-Normal        Cox, Gamma    FALSE #> 14197  888 0.5385587 0.104973741  fv Log-Normal        Cox, Gamma    FALSE #> 14213  889 0.6028528 0.116696393  fv Log-Normal        Cox, Gamma    FALSE #> 14229  890 0.6115686 0.117674263  fv Log-Normal        Cox, Gamma    FALSE #> 14245  891 0.6530045 0.124860018  fv Log-Normal        Cox, Gamma    FALSE #> 14261  892 0.9512529 0.177813247  fv Log-Normal        Cox, Gamma    FALSE #> 14277  893 0.4324512 0.086825693  fv Log-Normal        Cox, Gamma    FALSE #> 14293  894 0.5597415 0.110075287  fv Log-Normal        Cox, Gamma    FALSE #> 14309  895 0.7000887 0.134095874  fv Log-Normal        Cox, Gamma    FALSE #> 14325  896 0.4728721 0.093547165  fv Log-Normal        Cox, Gamma    FALSE #> 14341  897 0.5701801 0.110691422  fv Log-Normal        Cox, Gamma    FALSE #> 14357  898 0.6771217 0.129572295  fv Log-Normal        Cox, Gamma    FALSE #> 14373  899 0.7731560 0.148972225  fv Log-Normal        Cox, Gamma    FALSE #> 14389  900 0.6242420 0.120427482  fv Log-Normal        Cox, Gamma    FALSE #> 14405  901 0.6907226 0.131189457  fv Log-Normal        Cox, Gamma    FALSE #> 14421  902 0.7152259 0.135339899  fv Log-Normal        Cox, Gamma    FALSE #> 14437  903 0.5105152 0.100732976  fv Log-Normal        Cox, Gamma    FALSE #> 14453  904 0.5856935 0.113481600  fv Log-Normal        Cox, Gamma    FALSE #> 14469  905 0.5997602          NA  fv Log-Normal        Cox, Gamma       NA #> 14485  906 0.6365419 0.122578578  fv Log-Normal        Cox, Gamma    FALSE #> 14501  907 0.5898802 0.115521684  fv Log-Normal        Cox, Gamma    FALSE #> 14517  908 0.4531988 0.090312108  fv Log-Normal        Cox, Gamma    FALSE #> 14533  909 0.7511674 0.141395630  fv Log-Normal        Cox, Gamma    FALSE #> 14549  910 0.5647211 0.109999123  fv Log-Normal        Cox, Gamma    FALSE #> 14565  911 0.6067530 0.117194452  fv Log-Normal        Cox, Gamma    FALSE #> 14581  912 0.3617871 0.073947377  fv Log-Normal        Cox, Gamma    FALSE #> 14597  913 0.5505871 0.107420031  fv Log-Normal        Cox, Gamma    FALSE #> 14613  914 0.7699292 0.145248215  fv Log-Normal        Cox, Gamma    FALSE #> 14629  915 0.5864275 0.113192932  fv Log-Normal        Cox, Gamma    FALSE #> 14645  916 0.6235821          NA  fv Log-Normal        Cox, Gamma       NA #> 14661  917 0.4809311 0.095930729  fv Log-Normal        Cox, Gamma    FALSE #> 14677  918 0.5527238 0.108983870  fv Log-Normal        Cox, Gamma    FALSE #> 14693  919 0.6191935 0.119875457  fv Log-Normal        Cox, Gamma    FALSE #> 14709  920 0.5966615          NA  fv Log-Normal        Cox, Gamma       NA #> 14725  921 0.9739077 0.178572509  fv Log-Normal        Cox, Gamma    FALSE #> 14741  922 0.5740252 0.111843075  fv Log-Normal        Cox, Gamma    FALSE #> 14757  923 0.8611072 0.160092580  fv Log-Normal        Cox, Gamma    FALSE #> 14773  924 0.6116145 0.118190811  fv Log-Normal        Cox, Gamma    FALSE #> 14789  925 0.6970632 0.133922744  fv Log-Normal        Cox, Gamma    FALSE #> 14805  926 0.7548431 0.141797187  fv Log-Normal        Cox, Gamma    FALSE #> 14821  927 0.7246747 0.137313580  fv Log-Normal        Cox, Gamma    FALSE #> 14837  928 0.6419417          NA  fv Log-Normal        Cox, Gamma       NA #> 14853  929 0.6743449 0.128440051  fv Log-Normal        Cox, Gamma    FALSE #> 14869  930 0.5122725 0.101372331  fv Log-Normal        Cox, Gamma    FALSE #> 14885  931 0.7130454 0.135971450  fv Log-Normal        Cox, Gamma    FALSE #> 14901  932 0.5066433 0.100500273  fv Log-Normal        Cox, Gamma    FALSE #> 14917  933 0.4945458 0.097082695  fv Log-Normal        Cox, Gamma    FALSE #> 14933  934 0.6492706          NA  fv Log-Normal        Cox, Gamma       NA #> 14949  935 0.7595802 0.142781942  fv Log-Normal        Cox, Gamma    FALSE #> 14965  936 0.6649180 0.127703570  fv Log-Normal        Cox, Gamma    FALSE #> 14981  937 0.6533127 0.124319736  fv Log-Normal        Cox, Gamma    FALSE #> 14997  938 0.6926645 0.131356315  fv Log-Normal        Cox, Gamma    FALSE #> 15013  939 0.5077710 0.099590277  fv Log-Normal        Cox, Gamma    FALSE #> 15029  940 0.6933669 0.133191128  fv Log-Normal        Cox, Gamma    FALSE #> 15045  941 0.4268047 0.085815756  fv Log-Normal        Cox, Gamma    FALSE #> 15061  942 0.7084437 0.133839212  fv Log-Normal        Cox, Gamma    FALSE #> 15077  943 0.4584328 0.090854771  fv Log-Normal        Cox, Gamma    FALSE #> 15093  944 0.5666850 0.110036299  fv Log-Normal        Cox, Gamma    FALSE #> 15109  945 0.9440737 0.175421907  fv Log-Normal        Cox, Gamma    FALSE #> 15125  946 0.7158152 0.136016918  fv Log-Normal        Cox, Gamma    FALSE #> 15141  947 0.7167894 0.135529442  fv Log-Normal        Cox, Gamma    FALSE #> 15157  948 0.4493495 0.091216146  fv Log-Normal        Cox, Gamma    FALSE #> 15173  949 0.5803668 0.112156181  fv Log-Normal        Cox, Gamma    FALSE #> 15189  950 0.6935612 0.132417693  fv Log-Normal        Cox, Gamma    FALSE #> 15205  951 0.4651010 0.092037357  fv Log-Normal        Cox, Gamma    FALSE #> 15221  952 0.5304067 0.103569265  fv Log-Normal        Cox, Gamma    FALSE #> 15237  953 0.5574506          NA  fv Log-Normal        Cox, Gamma       NA #> 15253  954 0.7829632 0.149765497  fv Log-Normal        Cox, Gamma    FALSE #> 15269  955 0.6315200 0.121635710  fv Log-Normal        Cox, Gamma    FALSE #> 15285  956 0.7256935 0.136559638  fv Log-Normal        Cox, Gamma    FALSE #> 15301  957 0.5255019 0.102668152  fv Log-Normal        Cox, Gamma    FALSE #> 15317  958 0.5515319 0.108203497  fv Log-Normal        Cox, Gamma    FALSE #> 15333  959 0.6365335 0.006618674  fv Log-Normal        Cox, Gamma     TRUE #> 15349  960 0.4975672 0.097788653  fv Log-Normal        Cox, Gamma    FALSE #> 15365  961 0.7256961 0.136960775  fv Log-Normal        Cox, Gamma    FALSE #> 15381  962 0.6723918 0.128074823  fv Log-Normal        Cox, Gamma    FALSE #> 15397  963 0.8582505 0.161076038  fv Log-Normal        Cox, Gamma    FALSE #> 15413  964 0.6765533 0.131222054  fv Log-Normal        Cox, Gamma    FALSE #> 15429  965 0.4969462 0.098034066  fv Log-Normal        Cox, Gamma    FALSE #> 15445  966 0.8281505 0.153884185  fv Log-Normal        Cox, Gamma    FALSE #> 15461  967 0.8024846 0.151662537  fv Log-Normal        Cox, Gamma    FALSE #> 15477  968 0.7562529 0.144638541  fv Log-Normal        Cox, Gamma    FALSE #> 15493  969 0.9270354 0.171035756  fv Log-Normal        Cox, Gamma    FALSE #> 15509  970 0.7075527 0.135390065  fv Log-Normal        Cox, Gamma    FALSE #> 15525  971 0.7638483 0.143021387  fv Log-Normal        Cox, Gamma    FALSE #> 15541  972 0.5393256 0.105657239  fv Log-Normal        Cox, Gamma    FALSE #> 15557  973 0.7927163 0.148657584  fv Log-Normal        Cox, Gamma    FALSE #> 15573  974 0.8194812 0.153583984  fv Log-Normal        Cox, Gamma    FALSE #> 15589  975 0.8901438 0.164621225  fv Log-Normal        Cox, Gamma    FALSE #> 15605  976 0.7033173 0.135752844  fv Log-Normal        Cox, Gamma    FALSE #> 15621  977 0.9184243 0.169985183  fv Log-Normal        Cox, Gamma    FALSE #> 15637  978 0.7000262 0.133687476  fv Log-Normal        Cox, Gamma    FALSE #> 15653  979 0.5554882 0.108354847  fv Log-Normal        Cox, Gamma    FALSE #> 15669  980 0.6736097 0.129146495  fv Log-Normal        Cox, Gamma    FALSE #> 15685  981 0.5661670 0.109523726  fv Log-Normal        Cox, Gamma    FALSE #> 15701  982 0.5354088 0.104414629  fv Log-Normal        Cox, Gamma    FALSE #> 15717  983 0.6487939 0.124135434  fv Log-Normal        Cox, Gamma    FALSE #> 15733  984 0.6188661 0.120173122  fv Log-Normal        Cox, Gamma    FALSE #> 15749  985 0.7714019 0.145426296  fv Log-Normal        Cox, Gamma    FALSE #> 15765  986 0.6954945 0.133563065  fv Log-Normal        Cox, Gamma    FALSE #> 15781  987 0.6624646 0.129133922  fv Log-Normal        Cox, Gamma    FALSE #> 15797  988 0.7075265 0.133801077  fv Log-Normal        Cox, Gamma    FALSE #> 15813  989 0.7489396 0.140608370  fv Log-Normal        Cox, Gamma    FALSE #> 15829  990 0.6790675 0.130260397  fv Log-Normal        Cox, Gamma    FALSE #> 15845  991 0.7490903 0.141714729  fv Log-Normal        Cox, Gamma    FALSE #> 15861  992 0.6467935 0.124231773  fv Log-Normal        Cox, Gamma    FALSE #> 15877  993 0.6374168 0.121764982  fv Log-Normal        Cox, Gamma    FALSE #> 15893  994 0.6287016 0.122781015  fv Log-Normal        Cox, Gamma    FALSE #> 15909  995 0.5297770 0.103847152  fv Log-Normal        Cox, Gamma    FALSE #> 15925  996 0.6734033 0.130429589  fv Log-Normal        Cox, Gamma    FALSE #> 15941  997 0.5717180 0.110420307  fv Log-Normal        Cox, Gamma    FALSE #> 15957  998 0.5513744 0.107819150  fv Log-Normal        Cox, Gamma    FALSE #> 15973  999 0.6754048 0.129106649  fv Log-Normal        Cox, Gamma    FALSE #> 15989 1000 0.5817786 0.112687286  fv Log-Normal        Cox, Gamma    FALSE #> 6        1 0.7573628 0.123506225  fv Log-Normal   Cox, Log-Normal    FALSE #> 22       2 0.6405703 0.151148609  fv Log-Normal   Cox, Log-Normal    FALSE #> 38       3 0.8261367 0.185927234  fv Log-Normal   Cox, Log-Normal    FALSE #> 54       4 0.6143026 0.132920004  fv Log-Normal   Cox, Log-Normal    FALSE #> 70       5 1.0036278 0.198158194  fv Log-Normal   Cox, Log-Normal    FALSE #> 86       6 0.8832715 0.168543121  fv Log-Normal   Cox, Log-Normal    FALSE #> 102      7 0.5928196 0.100287978  fv Log-Normal   Cox, Log-Normal    FALSE #> 118      8 0.8252806 0.180131613  fv Log-Normal   Cox, Log-Normal    FALSE #> 134      9 0.7244461 0.143635393  fv Log-Normal   Cox, Log-Normal    FALSE #> 150     10 1.0102669 0.202207973  fv Log-Normal   Cox, Log-Normal    FALSE #> 166     11 0.9143155 0.184227624  fv Log-Normal   Cox, Log-Normal    FALSE #> 182     12 0.5534246 0.104169695  fv Log-Normal   Cox, Log-Normal    FALSE #> 198     13 0.8283860 0.166449749  fv Log-Normal   Cox, Log-Normal    FALSE #> 214     14 0.8115641 0.147107977  fv Log-Normal   Cox, Log-Normal    FALSE #> 230     15 0.7390334 0.149549271  fv Log-Normal   Cox, Log-Normal    FALSE #> 246     16 0.5808222 0.137956200  fv Log-Normal   Cox, Log-Normal    FALSE #> 262     17 0.6452196 0.146194236  fv Log-Normal   Cox, Log-Normal    FALSE #> 278     18 0.8714554 0.169853265  fv Log-Normal   Cox, Log-Normal    FALSE #> 294     19 0.9410003 0.159312483  fv Log-Normal   Cox, Log-Normal    FALSE #> 310     20 0.6101011 0.120280145  fv Log-Normal   Cox, Log-Normal    FALSE #> 326     21 0.7051458 0.143022121  fv Log-Normal   Cox, Log-Normal    FALSE #> 342     22 0.5999060 0.090970833  fv Log-Normal   Cox, Log-Normal    FALSE #> 358     23 0.8708236 0.203636912  fv Log-Normal   Cox, Log-Normal    FALSE #> 374     24 0.8089626 0.168542382  fv Log-Normal   Cox, Log-Normal    FALSE #> 390     25 0.6228305 0.119304963  fv Log-Normal   Cox, Log-Normal    FALSE #> 406     26 0.7537106 0.142965921  fv Log-Normal   Cox, Log-Normal    FALSE #> 422     27 0.5366948 0.165486396  fv Log-Normal   Cox, Log-Normal    FALSE #> 438     28 0.7237506 0.149495788  fv Log-Normal   Cox, Log-Normal    FALSE #> 454     29 1.0748691 0.171233165  fv Log-Normal   Cox, Log-Normal    FALSE #> 470     30 0.7213200 0.196299621  fv Log-Normal   Cox, Log-Normal    FALSE #> 486     31 0.5593267 0.126828054  fv Log-Normal   Cox, Log-Normal    FALSE #> 502     32 0.5324768 0.090967716  fv Log-Normal   Cox, Log-Normal    FALSE #> 518     33 0.7693620 0.147380984  fv Log-Normal   Cox, Log-Normal    FALSE #> 534     34 0.9152415 0.206375212  fv Log-Normal   Cox, Log-Normal    FALSE #> 550     35 0.5246976 0.132009450  fv Log-Normal   Cox, Log-Normal    FALSE #> 566     36 0.5188294 0.102537117  fv Log-Normal   Cox, Log-Normal    FALSE #> 582     37 0.7011186 0.157272513  fv Log-Normal   Cox, Log-Normal    FALSE #> 598     38 0.6353909 0.145388120  fv Log-Normal   Cox, Log-Normal    FALSE #> 614     39 0.8001182 0.162578217  fv Log-Normal   Cox, Log-Normal    FALSE #> 630     40 0.5711178 0.160784364  fv Log-Normal   Cox, Log-Normal    FALSE #> 646     41 0.8319567 0.168130783  fv Log-Normal   Cox, Log-Normal    FALSE #> 662     42 0.5614636 0.119677372  fv Log-Normal   Cox, Log-Normal    FALSE #> 678     43 0.5634340 0.106012887  fv Log-Normal   Cox, Log-Normal    FALSE #> 694     44 0.7924587 0.144458133  fv Log-Normal   Cox, Log-Normal    FALSE #> 710     45 0.6313241 0.120340182  fv Log-Normal   Cox, Log-Normal    FALSE #> 726     46 0.3400322 0.055945672  fv Log-Normal   Cox, Log-Normal    FALSE #> 742     47 0.9526428 0.199570335  fv Log-Normal   Cox, Log-Normal    FALSE #> 758     48 0.8841695 0.209442515  fv Log-Normal   Cox, Log-Normal    FALSE #> 774     49 0.9679034 0.166504814  fv Log-Normal   Cox, Log-Normal    FALSE #> 790     50 0.6036607 0.119569376  fv Log-Normal   Cox, Log-Normal    FALSE #> 806     51 0.8862827 0.155150877  fv Log-Normal   Cox, Log-Normal    FALSE #> 822     52 0.5297618 0.099447197  fv Log-Normal   Cox, Log-Normal    FALSE #> 838     53 0.9292767 0.157610779  fv Log-Normal   Cox, Log-Normal    FALSE #> 854     54 0.7239010 0.141347724  fv Log-Normal   Cox, Log-Normal    FALSE #> 870     55 0.9331984 0.171379276  fv Log-Normal   Cox, Log-Normal    FALSE #> 886     56 0.7706847 0.175186290  fv Log-Normal   Cox, Log-Normal    FALSE #> 902     57 0.9189265 0.207804687  fv Log-Normal   Cox, Log-Normal    FALSE #> 918     58 0.7658154 0.166165565  fv Log-Normal   Cox, Log-Normal    FALSE #> 934     59 0.7182062 0.124324102  fv Log-Normal   Cox, Log-Normal    FALSE #> 950     60 1.0041047 0.255917467  fv Log-Normal   Cox, Log-Normal     TRUE #> 966     61 0.7553592 0.164985154  fv Log-Normal   Cox, Log-Normal    FALSE #> 982     62 0.6225567 0.137396308  fv Log-Normal   Cox, Log-Normal    FALSE #> 998     63 0.8218612 0.151697592  fv Log-Normal   Cox, Log-Normal    FALSE #> 1014    64 0.7358860 0.131559640  fv Log-Normal   Cox, Log-Normal    FALSE #> 1030    65 0.9223297 0.240231970  fv Log-Normal   Cox, Log-Normal     TRUE #> 1046    66 0.6545818 0.131376390  fv Log-Normal   Cox, Log-Normal    FALSE #> 1062    67 0.6277202 0.131711521  fv Log-Normal   Cox, Log-Normal    FALSE #> 1078    68 0.5256708 0.115778396  fv Log-Normal   Cox, Log-Normal    FALSE #> 1094    69 0.8150341 0.153682813  fv Log-Normal   Cox, Log-Normal    FALSE #> 1110    70 0.7740717 0.131663013  fv Log-Normal   Cox, Log-Normal    FALSE #> 1126    71 1.0082462 0.227978478  fv Log-Normal   Cox, Log-Normal    FALSE #> 1142    72 0.6084139 0.122907751  fv Log-Normal   Cox, Log-Normal    FALSE #> 1158    73 0.7363271 0.136694735  fv Log-Normal   Cox, Log-Normal    FALSE #> 1174    74 0.4269599 0.099018016  fv Log-Normal   Cox, Log-Normal    FALSE #> 1190    75 0.7249021 0.145933489  fv Log-Normal   Cox, Log-Normal    FALSE #> 1206    76 0.6560751 0.124898132  fv Log-Normal   Cox, Log-Normal    FALSE #> 1222    77 0.8511698 0.197171406  fv Log-Normal   Cox, Log-Normal    FALSE #> 1238    78 0.7871053 0.166915910  fv Log-Normal   Cox, Log-Normal    FALSE #> 1254    79 1.0822921 0.209965236  fv Log-Normal   Cox, Log-Normal    FALSE #> 1270    80 0.5922208 0.101102935  fv Log-Normal   Cox, Log-Normal    FALSE #> 1286    81 1.0111710 0.155662408  fv Log-Normal   Cox, Log-Normal    FALSE #> 1302    82 0.6914727 0.112813615  fv Log-Normal   Cox, Log-Normal    FALSE #> 1318    83 0.8092839 0.153960210  fv Log-Normal   Cox, Log-Normal    FALSE #> 1334    84 0.6559520 0.132512452  fv Log-Normal   Cox, Log-Normal    FALSE #> 1350    85 0.6577962 0.171457580  fv Log-Normal   Cox, Log-Normal    FALSE #> 1366    86 0.5651294 0.146528647  fv Log-Normal   Cox, Log-Normal    FALSE #> 1382    87 0.7661226 0.160460673  fv Log-Normal   Cox, Log-Normal    FALSE #> 1398    88 0.7721346 0.178271337  fv Log-Normal   Cox, Log-Normal    FALSE #> 1414    89 1.0368109 0.213632342  fv Log-Normal   Cox, Log-Normal    FALSE #> 1430    90 0.8168601 0.156924329  fv Log-Normal   Cox, Log-Normal    FALSE #> 1446    91 0.9053362 0.158323513  fv Log-Normal   Cox, Log-Normal    FALSE #> 1462    92 0.8835783 0.208147013  fv Log-Normal   Cox, Log-Normal    FALSE #> 1478    93 0.6132071 0.113008294  fv Log-Normal   Cox, Log-Normal    FALSE #> 1494    94 0.8483006 0.176707967  fv Log-Normal   Cox, Log-Normal    FALSE #> 1510    95 0.6763772 0.139840226  fv Log-Normal   Cox, Log-Normal    FALSE #> 1526    96 0.5777829 0.104392446  fv Log-Normal   Cox, Log-Normal    FALSE #> 1542    97 0.8161674 0.168581778  fv Log-Normal   Cox, Log-Normal    FALSE #> 1558    98 0.4622867 0.077274220  fv Log-Normal   Cox, Log-Normal    FALSE #> 1574    99 0.9279581 0.217300732  fv Log-Normal   Cox, Log-Normal    FALSE #> 1590   100 0.6855048 0.169304914  fv Log-Normal   Cox, Log-Normal    FALSE #> 1606   101 0.6455828 0.111943749  fv Log-Normal   Cox, Log-Normal    FALSE #> 1622   102 0.4964866 0.090284117  fv Log-Normal   Cox, Log-Normal    FALSE #> 1638   103 0.7884297 0.140191610  fv Log-Normal   Cox, Log-Normal    FALSE #> 1654   104 0.7372374 0.160504976  fv Log-Normal   Cox, Log-Normal    FALSE #> 1670   105 0.4689447 0.130167559  fv Log-Normal   Cox, Log-Normal    FALSE #> 1686   106 0.6774750 0.142381935  fv Log-Normal   Cox, Log-Normal    FALSE #> 1702   107 0.8642295 0.176000808  fv Log-Normal   Cox, Log-Normal    FALSE #> 1718   108 0.7159932 0.164105206  fv Log-Normal   Cox, Log-Normal    FALSE #> 1734   109 0.9263322 0.205073657  fv Log-Normal   Cox, Log-Normal    FALSE #> 1750   110 0.9255388 0.203254399  fv Log-Normal   Cox, Log-Normal    FALSE #> 1766   111 0.6391791 0.151025676  fv Log-Normal   Cox, Log-Normal    FALSE #> 1782   112 0.7006322 0.121622711  fv Log-Normal   Cox, Log-Normal    FALSE #> 1798   113 0.8573833 0.120517037  fv Log-Normal   Cox, Log-Normal    FALSE #> 1814   114 0.6713922 0.143109099  fv Log-Normal   Cox, Log-Normal    FALSE #> 1830   115 0.7800116 0.158241038  fv Log-Normal   Cox, Log-Normal    FALSE #> 1846   116 0.7935211 0.143635068  fv Log-Normal   Cox, Log-Normal    FALSE #> 1862   117 0.8402853 0.144118761  fv Log-Normal   Cox, Log-Normal    FALSE #> 1878   118 0.6211441 0.115222597  fv Log-Normal   Cox, Log-Normal    FALSE #> 1894   119 0.5731702 0.104678548  fv Log-Normal   Cox, Log-Normal    FALSE #> 1910   120 0.8207332 0.162722934  fv Log-Normal   Cox, Log-Normal    FALSE #> 1926   121 0.7191754 0.144618775  fv Log-Normal   Cox, Log-Normal    FALSE #> 1942   122 0.5527592 0.153698623  fv Log-Normal   Cox, Log-Normal    FALSE #> 1958   123 0.5289509 0.095546347  fv Log-Normal   Cox, Log-Normal    FALSE #> 1974   124 0.5600358 0.120518423  fv Log-Normal   Cox, Log-Normal    FALSE #> 1990   125 0.5451336 0.088492549  fv Log-Normal   Cox, Log-Normal    FALSE #> 2006   126 1.2150397 0.221438937  fv Log-Normal   Cox, Log-Normal     TRUE #> 2022   127 0.5215282 0.106426631  fv Log-Normal   Cox, Log-Normal    FALSE #> 2038   128 0.5208087 0.101330616  fv Log-Normal   Cox, Log-Normal    FALSE #> 2054   129 0.7158500 0.146716475  fv Log-Normal   Cox, Log-Normal    FALSE #> 2070   130 0.5736312 0.140201893  fv Log-Normal   Cox, Log-Normal    FALSE #> 2086   131 0.6678274 0.113502192  fv Log-Normal   Cox, Log-Normal    FALSE #> 2102   132 0.7954489 0.169093243  fv Log-Normal   Cox, Log-Normal    FALSE #> 2118   133 0.9256333 0.173618373  fv Log-Normal   Cox, Log-Normal    FALSE #> 2134   134 1.0816300 0.168628629  fv Log-Normal   Cox, Log-Normal    FALSE #> 2150   135 0.6646850 0.165230055  fv Log-Normal   Cox, Log-Normal    FALSE #> 2166   136 0.5493449 0.148696582  fv Log-Normal   Cox, Log-Normal    FALSE #> 2182   137 0.5273812 0.117786553  fv Log-Normal   Cox, Log-Normal    FALSE #> 2198   138 0.5253386 0.088599027  fv Log-Normal   Cox, Log-Normal    FALSE #> 2214   139 0.7508027 0.135122381  fv Log-Normal   Cox, Log-Normal    FALSE #> 2230   140 0.8098031 0.141963269  fv Log-Normal   Cox, Log-Normal    FALSE #> 2246   141 0.4369386 0.083891814  fv Log-Normal   Cox, Log-Normal    FALSE #> 2262   142 0.4940935 0.087599059  fv Log-Normal   Cox, Log-Normal    FALSE #> 2278   143 0.5792783 0.101315528  fv Log-Normal   Cox, Log-Normal    FALSE #> 2294   144 0.6762864 0.155722587  fv Log-Normal   Cox, Log-Normal    FALSE #> 2310   145 0.5822286 0.120935529  fv Log-Normal   Cox, Log-Normal    FALSE #> 2326   146 0.7312281 0.136443900  fv Log-Normal   Cox, Log-Normal    FALSE #> 2342   147 0.6361521 0.169644112  fv Log-Normal   Cox, Log-Normal    FALSE #> 2358   148 0.5484598 0.111863218  fv Log-Normal   Cox, Log-Normal    FALSE #> 2374   149 0.4096536 0.100250733  fv Log-Normal   Cox, Log-Normal    FALSE #> 2390   150 0.5619967 0.105650453  fv Log-Normal   Cox, Log-Normal    FALSE #> 2406   151 0.9789970 0.195216476  fv Log-Normal   Cox, Log-Normal    FALSE #> 2422   152 0.7259292 0.151900672  fv Log-Normal   Cox, Log-Normal    FALSE #> 2438   153 0.7965834 0.152245452  fv Log-Normal   Cox, Log-Normal    FALSE #> 2454   154 0.7530393 0.132140632  fv Log-Normal   Cox, Log-Normal    FALSE #> 2470   155 1.0025250 0.232384531  fv Log-Normal   Cox, Log-Normal    FALSE #> 2486   156 0.6533424 0.120684343  fv Log-Normal   Cox, Log-Normal    FALSE #> 2502   157 0.6428468 0.167081803  fv Log-Normal   Cox, Log-Normal    FALSE #> 2518   158 0.6380194 0.127185912  fv Log-Normal   Cox, Log-Normal    FALSE #> 2534   159 0.8212363 0.203723673  fv Log-Normal   Cox, Log-Normal    FALSE #> 2550   160 0.8091504 0.165469968  fv Log-Normal   Cox, Log-Normal    FALSE #> 2566   161 0.9019637 0.169031267  fv Log-Normal   Cox, Log-Normal    FALSE #> 2582   162 1.0323230 0.200155147  fv Log-Normal   Cox, Log-Normal    FALSE #> 2598   163 0.6359122 0.120933159  fv Log-Normal   Cox, Log-Normal    FALSE #> 2614   164 0.6830636 0.149902066  fv Log-Normal   Cox, Log-Normal    FALSE #> 2630   165 0.5514472 0.106974805  fv Log-Normal   Cox, Log-Normal    FALSE #> 2646   166 0.4478951 0.089446434  fv Log-Normal   Cox, Log-Normal    FALSE #> 2662   167 0.7607050 0.130475089  fv Log-Normal   Cox, Log-Normal    FALSE #> 2678   168 0.8939775 0.171724578  fv Log-Normal   Cox, Log-Normal    FALSE #> 2694   169 0.6535068 0.134031000  fv Log-Normal   Cox, Log-Normal    FALSE #> 2710   170 0.7646505 0.136587486  fv Log-Normal   Cox, Log-Normal    FALSE #> 2726   171 0.8427968 0.138307896  fv Log-Normal   Cox, Log-Normal    FALSE #> 2742   172 0.7751922 0.140039170  fv Log-Normal   Cox, Log-Normal    FALSE #> 2758   173 0.7330887 0.134029421  fv Log-Normal   Cox, Log-Normal    FALSE #> 2774   174 0.6091521 0.106460561  fv Log-Normal   Cox, Log-Normal    FALSE #> 2790   175 0.8038532 0.153669430  fv Log-Normal   Cox, Log-Normal    FALSE #> 2806   176 1.0095644 0.198360609  fv Log-Normal   Cox, Log-Normal    FALSE #> 2822   177 0.8252955 0.152377027  fv Log-Normal   Cox, Log-Normal    FALSE #> 2838   178 0.5408288 0.097128672  fv Log-Normal   Cox, Log-Normal    FALSE #> 2854   179 0.9621040 0.157483433  fv Log-Normal   Cox, Log-Normal    FALSE #> 2870   180 0.5787665 0.115056496  fv Log-Normal   Cox, Log-Normal    FALSE #> 2886   181 0.7536706 0.134534082  fv Log-Normal   Cox, Log-Normal    FALSE #> 2902   182 1.2239585 0.231054881  fv Log-Normal   Cox, Log-Normal     TRUE #> 2918   183 0.7538198 0.198686043  fv Log-Normal   Cox, Log-Normal    FALSE #> 2934   184 0.9676200 0.162661310  fv Log-Normal   Cox, Log-Normal    FALSE #> 2950   185 0.8095095 0.154239320  fv Log-Normal   Cox, Log-Normal    FALSE #> 2966   186 0.7963401 0.151409478  fv Log-Normal   Cox, Log-Normal    FALSE #> 2982   187 0.6878139 0.128133229  fv Log-Normal   Cox, Log-Normal    FALSE #> 2998   188 0.8316980 0.199665691  fv Log-Normal   Cox, Log-Normal    FALSE #> 3014   189 0.6992176 0.115061086  fv Log-Normal   Cox, Log-Normal    FALSE #> 3030   190 0.8038076 0.144511600  fv Log-Normal   Cox, Log-Normal    FALSE #> 3046   191 0.7962095 0.180472090  fv Log-Normal   Cox, Log-Normal    FALSE #> 3062   192 0.6544469 0.152934636  fv Log-Normal   Cox, Log-Normal    FALSE #> 3078   193 0.7893740 0.183862164  fv Log-Normal   Cox, Log-Normal    FALSE #> 3094   194 0.9888659 0.175645880  fv Log-Normal   Cox, Log-Normal    FALSE #> 3110   195 0.5870695 0.128305897  fv Log-Normal   Cox, Log-Normal    FALSE #> 3126   196 0.6371292 0.130232476  fv Log-Normal   Cox, Log-Normal    FALSE #> 3142   197 0.6610005 0.111740926  fv Log-Normal   Cox, Log-Normal    FALSE #> 3158   198 0.7978277 0.140662110  fv Log-Normal   Cox, Log-Normal    FALSE #> 3174   199 0.5343989 0.094741806  fv Log-Normal   Cox, Log-Normal    FALSE #> 3190   200 0.6102206 0.130221390  fv Log-Normal   Cox, Log-Normal    FALSE #> 3206   201 0.8895148 0.164670932  fv Log-Normal   Cox, Log-Normal    FALSE #> 3222   202 0.7229980 0.120155652  fv Log-Normal   Cox, Log-Normal    FALSE #> 3238   203 0.6368252 0.115279152  fv Log-Normal   Cox, Log-Normal    FALSE #> 3254   204 0.6809315 0.138454115  fv Log-Normal   Cox, Log-Normal    FALSE #> 3270   205 0.6617769 0.130662589  fv Log-Normal   Cox, Log-Normal    FALSE #> 3286   206 0.7916678 0.146803021  fv Log-Normal   Cox, Log-Normal    FALSE #> 3302   207 0.8047997 0.205254562  fv Log-Normal   Cox, Log-Normal    FALSE #> 3318   208 1.0690480 0.176315972  fv Log-Normal   Cox, Log-Normal    FALSE #> 3334   209 0.6734025 0.157675845  fv Log-Normal   Cox, Log-Normal    FALSE #> 3350   210 0.7235119 0.168335407  fv Log-Normal   Cox, Log-Normal    FALSE #> 3366   211 0.8209679 0.150541551  fv Log-Normal   Cox, Log-Normal    FALSE #> 3382   212 0.8093963 0.164234906  fv Log-Normal   Cox, Log-Normal    FALSE #> 3398   213 0.6197138 0.117369296  fv Log-Normal   Cox, Log-Normal    FALSE #> 3414   214 0.6649361 0.120661018  fv Log-Normal   Cox, Log-Normal    FALSE #> 3430   215 0.6650857 0.179625366  fv Log-Normal   Cox, Log-Normal    FALSE #> 3446   216 0.9689108 0.174717968  fv Log-Normal   Cox, Log-Normal    FALSE #> 3462   217 0.7612506 0.147631973  fv Log-Normal   Cox, Log-Normal    FALSE #> 3478   218 0.5926323 0.153430759  fv Log-Normal   Cox, Log-Normal    FALSE #> 3494   219 0.8441365 0.191720259  fv Log-Normal   Cox, Log-Normal    FALSE #> 3510   220 0.9102425 0.169208023  fv Log-Normal   Cox, Log-Normal    FALSE #> 3526   221 0.6440419 0.169991151  fv Log-Normal   Cox, Log-Normal    FALSE #> 3542   222 0.3699244 0.073773612  fv Log-Normal   Cox, Log-Normal    FALSE #> 3558   223 0.5477821 0.112031749  fv Log-Normal   Cox, Log-Normal    FALSE #> 3574   224 0.5942285 0.107253851  fv Log-Normal   Cox, Log-Normal    FALSE #> 3590   225 0.8208106 0.157270676  fv Log-Normal   Cox, Log-Normal    FALSE #> 3606   226 1.0721837 0.179757807  fv Log-Normal   Cox, Log-Normal    FALSE #> 3622   227 0.7651791 0.135412199  fv Log-Normal   Cox, Log-Normal    FALSE #> 3638   228 0.8680490 0.143223630  fv Log-Normal   Cox, Log-Normal    FALSE #> 3654   229 0.4073158 0.083161888  fv Log-Normal   Cox, Log-Normal    FALSE #> 3670   230 0.6139439 0.120049198  fv Log-Normal   Cox, Log-Normal    FALSE #> 3686   231 0.6567719 0.124099366  fv Log-Normal   Cox, Log-Normal    FALSE #> 3702   232 0.9446119 0.189529640  fv Log-Normal   Cox, Log-Normal    FALSE #> 3718   233 0.9526530 0.209694354  fv Log-Normal   Cox, Log-Normal    FALSE #> 3734   234 0.9358169 0.188575345  fv Log-Normal   Cox, Log-Normal    FALSE #> 3750   235 0.5533697 0.097841887  fv Log-Normal   Cox, Log-Normal    FALSE #> 3766   236 0.6345935 0.120180217  fv Log-Normal   Cox, Log-Normal    FALSE #> 3782   237 0.5440302 0.109896985  fv Log-Normal   Cox, Log-Normal    FALSE #> 3798   238 0.8898235 0.229632108  fv Log-Normal   Cox, Log-Normal    FALSE #> 3814   239 0.9262859 0.200846435  fv Log-Normal   Cox, Log-Normal    FALSE #> 3830   240 0.6338872 0.129524301  fv Log-Normal   Cox, Log-Normal    FALSE #> 3846   241 0.7667705 0.153378360  fv Log-Normal   Cox, Log-Normal    FALSE #> 3862   242 0.5466475 0.100527491  fv Log-Normal   Cox, Log-Normal    FALSE #> 3878   243 0.6728653 0.123466796  fv Log-Normal   Cox, Log-Normal    FALSE #> 3894   244 0.6107308 0.139143285  fv Log-Normal   Cox, Log-Normal    FALSE #> 3910   245 0.4997340 0.111627420  fv Log-Normal   Cox, Log-Normal    FALSE #> 3926   246 0.7877534 0.194794439  fv Log-Normal   Cox, Log-Normal    FALSE #> 3942   247 0.6585011 0.152234917  fv Log-Normal   Cox, Log-Normal    FALSE #> 3958   248 1.1751511 0.286449350  fv Log-Normal   Cox, Log-Normal     TRUE #> 3974   249 0.5939856 0.117058074  fv Log-Normal   Cox, Log-Normal    FALSE #> 3990   250 0.7479317 0.166505164  fv Log-Normal   Cox, Log-Normal    FALSE #> 4006   251 0.6258817 0.112068474  fv Log-Normal   Cox, Log-Normal    FALSE #> 4022   252 0.4768019 0.119359450  fv Log-Normal   Cox, Log-Normal    FALSE #> 4038   253 0.8642953 0.190101155  fv Log-Normal   Cox, Log-Normal    FALSE #> 4054   254 0.7457473 0.159020740  fv Log-Normal   Cox, Log-Normal    FALSE #> 4070   255 0.9277065 0.230633805  fv Log-Normal   Cox, Log-Normal    FALSE #> 4086   256 0.8557776 0.195869085  fv Log-Normal   Cox, Log-Normal    FALSE #> 4102   257 0.8342419 0.124293996  fv Log-Normal   Cox, Log-Normal    FALSE #> 4118   258 0.4166917 0.091790350  fv Log-Normal   Cox, Log-Normal    FALSE #> 4134   259 0.6658868 0.122476181  fv Log-Normal   Cox, Log-Normal    FALSE #> 4150   260 0.6874868 0.138634719  fv Log-Normal   Cox, Log-Normal    FALSE #> 4166   261 0.8838488 0.152030166  fv Log-Normal   Cox, Log-Normal    FALSE #> 4182   262 0.6874792 0.132166589  fv Log-Normal   Cox, Log-Normal    FALSE #> 4198   263 0.8748474 0.168551544  fv Log-Normal   Cox, Log-Normal    FALSE #> 4214   264 0.7949965 0.167523004  fv Log-Normal   Cox, Log-Normal    FALSE #> 4230   265 0.6229840 0.104494211  fv Log-Normal   Cox, Log-Normal    FALSE #> 4246   266 0.6632234 0.135646780  fv Log-Normal   Cox, Log-Normal    FALSE #> 4262   267 0.6158842 0.130400568  fv Log-Normal   Cox, Log-Normal    FALSE #> 4278   268 0.9506333 0.175878947  fv Log-Normal   Cox, Log-Normal    FALSE #> 4294   269 0.6188439 0.130825645  fv Log-Normal   Cox, Log-Normal    FALSE #> 4310   270 0.6262115 0.114392203  fv Log-Normal   Cox, Log-Normal    FALSE #> 4326   271 0.7801412 0.198342003  fv Log-Normal   Cox, Log-Normal    FALSE #> 4342   272 0.5658894 0.105200138  fv Log-Normal   Cox, Log-Normal    FALSE #> 4358   273 0.7581958 0.155271956  fv Log-Normal   Cox, Log-Normal    FALSE #> 4374   274 0.7608956 0.184496710  fv Log-Normal   Cox, Log-Normal    FALSE #> 4390   275 0.6392780 0.170823574  fv Log-Normal   Cox, Log-Normal    FALSE #> 4406   276 0.7882949 0.154743052  fv Log-Normal   Cox, Log-Normal    FALSE #> 4422   277 0.7194733 0.150653839  fv Log-Normal   Cox, Log-Normal    FALSE #> 4438   278 0.6262877 0.146135300  fv Log-Normal   Cox, Log-Normal    FALSE #> 4454   279 0.8160827 0.161699463  fv Log-Normal   Cox, Log-Normal    FALSE #> 4470   280 0.8380508 0.165760210  fv Log-Normal   Cox, Log-Normal    FALSE #> 4486   281 0.7250819 0.136678134  fv Log-Normal   Cox, Log-Normal    FALSE #> 4502   282 0.6543630 0.124834778  fv Log-Normal   Cox, Log-Normal    FALSE #> 4518   283 0.8861316 0.181607406  fv Log-Normal   Cox, Log-Normal    FALSE #> 4534   284 0.6234693 0.121773534  fv Log-Normal   Cox, Log-Normal    FALSE #> 4550   285 0.7075084 0.140506363  fv Log-Normal   Cox, Log-Normal    FALSE #> 4566   286 0.6991377 0.141637828  fv Log-Normal   Cox, Log-Normal    FALSE #> 4582   287 0.5969511 0.095232884  fv Log-Normal   Cox, Log-Normal    FALSE #> 4598   288 0.6185630 0.128807253  fv Log-Normal   Cox, Log-Normal    FALSE #> 4614   289 0.6932102 0.126244042  fv Log-Normal   Cox, Log-Normal    FALSE #> 4630   290 0.6795473 0.133309208  fv Log-Normal   Cox, Log-Normal    FALSE #> 4646   291 0.7658600 0.125787549  fv Log-Normal   Cox, Log-Normal    FALSE #> 4662   292 0.6655638 0.182337657  fv Log-Normal   Cox, Log-Normal    FALSE #> 4678   293 0.6811121 0.097619440  fv Log-Normal   Cox, Log-Normal    FALSE #> 4694   294 0.7341433 0.126424230  fv Log-Normal   Cox, Log-Normal    FALSE #> 4710   295 0.6397064 0.131345588  fv Log-Normal   Cox, Log-Normal    FALSE #> 4726   296 0.8036840 0.153632947  fv Log-Normal   Cox, Log-Normal    FALSE #> 4742   297 0.4156726 0.078965945  fv Log-Normal   Cox, Log-Normal    FALSE #> 4758   298 0.6992210 0.122399735  fv Log-Normal   Cox, Log-Normal    FALSE #> 4774   299 0.7895367 0.126931179  fv Log-Normal   Cox, Log-Normal    FALSE #> 4790   300 0.6389342 0.119908849  fv Log-Normal   Cox, Log-Normal    FALSE #> 4806   301 1.0721887 0.198275473  fv Log-Normal   Cox, Log-Normal    FALSE #> 4822   302 0.7313978 0.168882249  fv Log-Normal   Cox, Log-Normal    FALSE #> 4838   303 0.6443221 0.103189570  fv Log-Normal   Cox, Log-Normal    FALSE #> 4854   304 0.6883138 0.109793240  fv Log-Normal   Cox, Log-Normal    FALSE #> 4870   305 0.8457392 0.150880524  fv Log-Normal   Cox, Log-Normal    FALSE #> 4886   306 0.5848402 0.114151600  fv Log-Normal   Cox, Log-Normal    FALSE #> 4902   307 0.6233021 0.109508346  fv Log-Normal   Cox, Log-Normal    FALSE #> 4918   308 0.7261324 0.145349003  fv Log-Normal   Cox, Log-Normal    FALSE #> 4934   309 0.6156243 0.121821259  fv Log-Normal   Cox, Log-Normal    FALSE #> 4950   310 0.6653635 0.156392201  fv Log-Normal   Cox, Log-Normal    FALSE #> 4966   311 0.8914660 0.154933778  fv Log-Normal   Cox, Log-Normal    FALSE #> 4982   312 0.7331430 0.136281844  fv Log-Normal   Cox, Log-Normal    FALSE #> 4998   313 0.5088109 0.113177945  fv Log-Normal   Cox, Log-Normal    FALSE #> 5014   314 0.6998085 0.147494090  fv Log-Normal   Cox, Log-Normal    FALSE #> 5030   315 0.6788598 0.118669605  fv Log-Normal   Cox, Log-Normal    FALSE #> 5046   316 0.5935425 0.134907825  fv Log-Normal   Cox, Log-Normal    FALSE #> 5062   317 0.8622104 0.132961863  fv Log-Normal   Cox, Log-Normal    FALSE #> 5078   318 0.5477029 0.159243237  fv Log-Normal   Cox, Log-Normal    FALSE #> 5094   319 0.7504793 0.175775213  fv Log-Normal   Cox, Log-Normal    FALSE #> 5110   320 0.8374628 0.142534760  fv Log-Normal   Cox, Log-Normal    FALSE #> 5126   321 0.9088461 0.199125271  fv Log-Normal   Cox, Log-Normal    FALSE #> 5142   322 0.5883454 0.138882190  fv Log-Normal   Cox, Log-Normal    FALSE #> 5158   323 0.8097169 0.145185115  fv Log-Normal   Cox, Log-Normal    FALSE #> 5174   324 0.5327484 0.097126455  fv Log-Normal   Cox, Log-Normal    FALSE #> 5190   325 0.6209278 0.123937040  fv Log-Normal   Cox, Log-Normal    FALSE #> 5206   326 1.0813592 0.260419864  fv Log-Normal   Cox, Log-Normal     TRUE #> 5222   327 0.5318052 0.101090195  fv Log-Normal   Cox, Log-Normal    FALSE #> 5238   328 0.7967825 0.152965020  fv Log-Normal   Cox, Log-Normal    FALSE #> 5254   329 0.6356635 0.133230934  fv Log-Normal   Cox, Log-Normal    FALSE #> 5270   330 0.5814746 0.143686266  fv Log-Normal   Cox, Log-Normal    FALSE #> 5286   331 0.9345516 0.181733555  fv Log-Normal   Cox, Log-Normal    FALSE #> 5302   332 0.6891797 0.105822208  fv Log-Normal   Cox, Log-Normal    FALSE #> 5318   333 0.5057585 0.107033611  fv Log-Normal   Cox, Log-Normal    FALSE #> 5334   334 0.5523392 0.103592158  fv Log-Normal   Cox, Log-Normal    FALSE #> 5350   335 0.5487718 0.096238261  fv Log-Normal   Cox, Log-Normal    FALSE #> 5366   336 0.7938662 0.153381827  fv Log-Normal   Cox, Log-Normal    FALSE #> 5382   337 0.6558362 0.122412197  fv Log-Normal   Cox, Log-Normal    FALSE #> 5398   338 0.7716627 0.133216328  fv Log-Normal   Cox, Log-Normal    FALSE #> 5414   339 0.5946563 0.112089158  fv Log-Normal   Cox, Log-Normal    FALSE #> 5430   340 0.9258154 0.173020079  fv Log-Normal   Cox, Log-Normal    FALSE #> 5446   341 0.6554285 0.188998496  fv Log-Normal   Cox, Log-Normal    FALSE #> 5462   342 0.5903363 0.103543007  fv Log-Normal   Cox, Log-Normal    FALSE #> 5478   343 0.5801205 0.105220570  fv Log-Normal   Cox, Log-Normal    FALSE #> 5494   344 0.6781217 0.139143373  fv Log-Normal   Cox, Log-Normal    FALSE #> 5510   345 0.6961196 0.128199872  fv Log-Normal   Cox, Log-Normal    FALSE #> 5526   346 0.5227107 0.129366265  fv Log-Normal   Cox, Log-Normal    FALSE #> 5542   347 0.6271774 0.116481432  fv Log-Normal   Cox, Log-Normal    FALSE #> 5558   348 0.6129095 0.127848791  fv Log-Normal   Cox, Log-Normal    FALSE #> 5574   349 0.7061869 0.130911383  fv Log-Normal   Cox, Log-Normal    FALSE #> 5590   350 0.7924372 0.140354741  fv Log-Normal   Cox, Log-Normal    FALSE #> 5606   351 0.6081129 0.110915071  fv Log-Normal   Cox, Log-Normal    FALSE #> 5622   352 0.8113829 0.207987891  fv Log-Normal   Cox, Log-Normal    FALSE #> 5638   353 0.7123554 0.148029613  fv Log-Normal   Cox, Log-Normal    FALSE #> 5654   354 0.6733492 0.120250828  fv Log-Normal   Cox, Log-Normal    FALSE #> 5670   355 0.7413575 0.117491541  fv Log-Normal   Cox, Log-Normal    FALSE #> 5686   356 0.6356097 0.136723847  fv Log-Normal   Cox, Log-Normal    FALSE #> 5702   357 0.9077288 0.201687015  fv Log-Normal   Cox, Log-Normal    FALSE #> 5718   358 0.6760533 0.114786462  fv Log-Normal   Cox, Log-Normal    FALSE #> 5734   359 0.5219090 0.108201573  fv Log-Normal   Cox, Log-Normal    FALSE #> 5750   360 0.6815372 0.124079334  fv Log-Normal   Cox, Log-Normal    FALSE #> 5766   361 0.6430326 0.131155722  fv Log-Normal   Cox, Log-Normal    FALSE #> 5782   362 0.6311695 0.139240974  fv Log-Normal   Cox, Log-Normal    FALSE #> 5798   363 0.6177379 0.136118552  fv Log-Normal   Cox, Log-Normal    FALSE #> 5814   364 0.8976105 0.177776665  fv Log-Normal   Cox, Log-Normal    FALSE #> 5830   365 0.8077777 0.181160990  fv Log-Normal   Cox, Log-Normal    FALSE #> 5846   366 0.6859270 0.163243165  fv Log-Normal   Cox, Log-Normal    FALSE #> 5862   367 0.8039909 0.173052304  fv Log-Normal   Cox, Log-Normal    FALSE #> 5878   368 0.9904820 0.206693114  fv Log-Normal   Cox, Log-Normal    FALSE #> 5894   369 0.6043360 0.105582542  fv Log-Normal   Cox, Log-Normal    FALSE #> 5910   370 0.7742858 0.160759545  fv Log-Normal   Cox, Log-Normal    FALSE #> 5926   371 0.6578030 0.151843773  fv Log-Normal   Cox, Log-Normal    FALSE #> 5942   372 0.5007659 0.102818471  fv Log-Normal   Cox, Log-Normal    FALSE #> 5958   373 1.1151799 0.262411215  fv Log-Normal   Cox, Log-Normal     TRUE #> 5974   374 0.5438101 0.110074187  fv Log-Normal   Cox, Log-Normal    FALSE #> 5990   375 0.6580755 0.148102054  fv Log-Normal   Cox, Log-Normal    FALSE #> 6006   376 0.7039508 0.155302979  fv Log-Normal   Cox, Log-Normal    FALSE #> 6022   377 0.5414599 0.090535372  fv Log-Normal   Cox, Log-Normal    FALSE #> 6038   378 0.6197608 0.130994750  fv Log-Normal   Cox, Log-Normal    FALSE #> 6054   379 0.5067599 0.084260679  fv Log-Normal   Cox, Log-Normal    FALSE #> 6070   380 0.6564966 0.109664243  fv Log-Normal   Cox, Log-Normal    FALSE #> 6086   381 0.8540702 0.184255358  fv Log-Normal   Cox, Log-Normal    FALSE #> 6102   382 0.7318377 0.153279580  fv Log-Normal   Cox, Log-Normal    FALSE #> 6118   383 0.7133871 0.142053344  fv Log-Normal   Cox, Log-Normal    FALSE #> 6134   384 0.7092118 0.136370965  fv Log-Normal   Cox, Log-Normal    FALSE #> 6150   385 0.5917005 0.147258323  fv Log-Normal   Cox, Log-Normal    FALSE #> 6166   386 0.9153763 0.229498321  fv Log-Normal   Cox, Log-Normal    FALSE #> 6182   387 0.5871767 0.123612345  fv Log-Normal   Cox, Log-Normal    FALSE #> 6198   388 0.9291695 0.122982818  fv Log-Normal   Cox, Log-Normal    FALSE #> 6214   389 0.8058096 0.150461962  fv Log-Normal   Cox, Log-Normal    FALSE #> 6230   390 0.6773542 0.151801071  fv Log-Normal   Cox, Log-Normal    FALSE #> 6246   391 0.8182120 0.134244623  fv Log-Normal   Cox, Log-Normal    FALSE #> 6262   392 0.6261693 0.144322919  fv Log-Normal   Cox, Log-Normal    FALSE #> 6278   393 0.5608767 0.087397909  fv Log-Normal   Cox, Log-Normal    FALSE #> 6294   394 0.8782935 0.189730141  fv Log-Normal   Cox, Log-Normal    FALSE #> 6310   395 0.7611073 0.155530156  fv Log-Normal   Cox, Log-Normal    FALSE #> 6326   396 1.0179662 0.186941257  fv Log-Normal   Cox, Log-Normal    FALSE #> 6342   397 0.7116466 0.138074147  fv Log-Normal   Cox, Log-Normal    FALSE #> 6358   398 0.6727192 0.112933246  fv Log-Normal   Cox, Log-Normal    FALSE #> 6374   399 0.8183800 0.153200171  fv Log-Normal   Cox, Log-Normal    FALSE #> 6390   400 0.5367667 0.115885505  fv Log-Normal   Cox, Log-Normal    FALSE #> 6406   401 0.6126184 0.116844582  fv Log-Normal   Cox, Log-Normal    FALSE #> 6422   402 0.5449950 0.165808259  fv Log-Normal   Cox, Log-Normal    FALSE #> 6438   403 0.6208233 0.124821022  fv Log-Normal   Cox, Log-Normal    FALSE #> 6454   404 0.5770424 0.151038157  fv Log-Normal   Cox, Log-Normal    FALSE #> 6470   405 0.4747106 0.100298660  fv Log-Normal   Cox, Log-Normal    FALSE #> 6486   406 0.7328698 0.142571527  fv Log-Normal   Cox, Log-Normal    FALSE #> 6502   407 0.7521805 0.168896665  fv Log-Normal   Cox, Log-Normal    FALSE #> 6518   408 0.4939505 0.126659415  fv Log-Normal   Cox, Log-Normal    FALSE #> 6534   409 0.7342496 0.137209818  fv Log-Normal   Cox, Log-Normal    FALSE #> 6550   410 0.7711058 0.166901809  fv Log-Normal   Cox, Log-Normal    FALSE #> 6566   411 0.6537021 0.158644072  fv Log-Normal   Cox, Log-Normal    FALSE #> 6582   412 0.6641258 0.185779173  fv Log-Normal   Cox, Log-Normal    FALSE #> 6598   413 0.5336693 0.120967307  fv Log-Normal   Cox, Log-Normal    FALSE #> 6614   414 0.8645269 0.156417045  fv Log-Normal   Cox, Log-Normal    FALSE #> 6630   415 1.2669904 0.221355780  fv Log-Normal   Cox, Log-Normal     TRUE #> 6646   416 0.5679880 0.136164326  fv Log-Normal   Cox, Log-Normal    FALSE #> 6662   417 0.5518002 0.097475326  fv Log-Normal   Cox, Log-Normal    FALSE #> 6678   418 0.8899199 0.126041947  fv Log-Normal   Cox, Log-Normal    FALSE #> 6694   419 0.4910310 0.096522319  fv Log-Normal   Cox, Log-Normal    FALSE #> 6710   420 0.7613114 0.168472044  fv Log-Normal   Cox, Log-Normal    FALSE #> 6726   421 0.7927672 0.149403972  fv Log-Normal   Cox, Log-Normal    FALSE #> 6742   422 0.5762327 0.132336946  fv Log-Normal   Cox, Log-Normal    FALSE #> 6758   423 0.5858586 0.109042212  fv Log-Normal   Cox, Log-Normal    FALSE #> 6774   424 0.6812210 0.135407029  fv Log-Normal   Cox, Log-Normal    FALSE #> 6790   425 0.7494056 0.158380464  fv Log-Normal   Cox, Log-Normal    FALSE #> 6806   426 0.8255828 0.167092229  fv Log-Normal   Cox, Log-Normal    FALSE #> 6822   427 0.9580083 0.193525749  fv Log-Normal   Cox, Log-Normal    FALSE #> 6838   428 0.8200189 0.174800466  fv Log-Normal   Cox, Log-Normal    FALSE #> 6854   429 0.7253120 0.138989939  fv Log-Normal   Cox, Log-Normal    FALSE #> 6870   430 0.8015608 0.159246665  fv Log-Normal   Cox, Log-Normal    FALSE #> 6886   431 0.6839649 0.163805863  fv Log-Normal   Cox, Log-Normal    FALSE #> 6902   432 0.8651093 0.182008216  fv Log-Normal   Cox, Log-Normal    FALSE #> 6918   433 0.5920234 0.102567571  fv Log-Normal   Cox, Log-Normal    FALSE #> 6934   434 0.5880071 0.117101961  fv Log-Normal   Cox, Log-Normal    FALSE #> 6950   435 0.4973641 0.107090021  fv Log-Normal   Cox, Log-Normal    FALSE #> 6966   436 0.7631187 0.131617867  fv Log-Normal   Cox, Log-Normal    FALSE #> 6982   437 0.5823778 0.125462900  fv Log-Normal   Cox, Log-Normal    FALSE #> 6998   438 0.8514556 0.152749346  fv Log-Normal   Cox, Log-Normal    FALSE #> 7014   439 0.5976061 0.142466128  fv Log-Normal   Cox, Log-Normal    FALSE #> 7030   440 0.4167886 0.097617508  fv Log-Normal   Cox, Log-Normal    FALSE #> 7046   441 0.5600775 0.113085806  fv Log-Normal   Cox, Log-Normal    FALSE #> 7062   442 0.7506161 0.147798952  fv Log-Normal   Cox, Log-Normal    FALSE #> 7078   443 0.8033583 0.166071013  fv Log-Normal   Cox, Log-Normal    FALSE #> 7094   444 0.8324845 0.192734911  fv Log-Normal   Cox, Log-Normal    FALSE #> 7110   445 0.9003486 0.176256265  fv Log-Normal   Cox, Log-Normal    FALSE #> 7126   446 0.6375473 0.120152949  fv Log-Normal   Cox, Log-Normal    FALSE #> 7142   447 0.8891201 0.168609893  fv Log-Normal   Cox, Log-Normal    FALSE #> 7158   448 0.9157472 0.197688993  fv Log-Normal   Cox, Log-Normal    FALSE #> 7174   449 0.9081860 0.189349612  fv Log-Normal   Cox, Log-Normal    FALSE #> 7190   450 0.7032306 0.140992126  fv Log-Normal   Cox, Log-Normal    FALSE #> 7206   451 0.7939868 0.149065953  fv Log-Normal   Cox, Log-Normal    FALSE #> 7222   452 0.7822568 0.149666090  fv Log-Normal   Cox, Log-Normal    FALSE #> 7238   453 0.6987296 0.135190518  fv Log-Normal   Cox, Log-Normal    FALSE #> 7254   454 0.6802980 0.149217852  fv Log-Normal   Cox, Log-Normal    FALSE #> 7270   455 0.6300706 0.117145542  fv Log-Normal   Cox, Log-Normal    FALSE #> 7286   456 0.4853340 0.098943448  fv Log-Normal   Cox, Log-Normal    FALSE #> 7302   457 0.9159317 0.166991448  fv Log-Normal   Cox, Log-Normal    FALSE #> 7318   458 0.7926127 0.218179833  fv Log-Normal   Cox, Log-Normal    FALSE #> 7334   459 0.9673546 0.239194160  fv Log-Normal   Cox, Log-Normal     TRUE #> 7350   460 0.6824635 0.114496923  fv Log-Normal   Cox, Log-Normal    FALSE #> 7366   461 0.7838993 0.123060287  fv Log-Normal   Cox, Log-Normal    FALSE #> 7382   462 0.7263722 0.136940630  fv Log-Normal   Cox, Log-Normal    FALSE #> 7398   463 0.8725465 0.208727400  fv Log-Normal   Cox, Log-Normal    FALSE #> 7414   464 0.8133746 0.125786465  fv Log-Normal   Cox, Log-Normal    FALSE #> 7430   465 0.8180210 0.162596932  fv Log-Normal   Cox, Log-Normal    FALSE #> 7446   466 0.8447400 0.174373325  fv Log-Normal   Cox, Log-Normal    FALSE #> 7462   467 0.7417616 0.156331232  fv Log-Normal   Cox, Log-Normal    FALSE #> 7478   468 0.9181124 0.152344493  fv Log-Normal   Cox, Log-Normal    FALSE #> 7494   469 0.8086114 0.162584399  fv Log-Normal   Cox, Log-Normal    FALSE #> 7510   470 0.7530716 0.158528182  fv Log-Normal   Cox, Log-Normal    FALSE #> 7526   471 0.6314900 0.146336756  fv Log-Normal   Cox, Log-Normal    FALSE #> 7542   472 0.8683746 0.156186168  fv Log-Normal   Cox, Log-Normal    FALSE #> 7558   473 0.6937239 0.141938343  fv Log-Normal   Cox, Log-Normal    FALSE #> 7574   474 1.0218309 0.201167398  fv Log-Normal   Cox, Log-Normal    FALSE #> 7590   475 0.6337743 0.116592408  fv Log-Normal   Cox, Log-Normal    FALSE #> 7606   476 0.4770815 0.107961700  fv Log-Normal   Cox, Log-Normal    FALSE #> 7622   477 0.5086332 0.109130539  fv Log-Normal   Cox, Log-Normal    FALSE #> 7638   478 0.8075402 0.117965092  fv Log-Normal   Cox, Log-Normal    FALSE #> 7654   479 0.7389806 0.136893016  fv Log-Normal   Cox, Log-Normal    FALSE #> 7670   480 1.0175151 0.199915585  fv Log-Normal   Cox, Log-Normal    FALSE #> 7686   481 1.0192289 0.206087507  fv Log-Normal   Cox, Log-Normal    FALSE #> 7702   482 0.7832508 0.159491148  fv Log-Normal   Cox, Log-Normal    FALSE #> 7718   483 0.9418885 0.220672055  fv Log-Normal   Cox, Log-Normal    FALSE #> 7734   484 0.8962617 0.202093121  fv Log-Normal   Cox, Log-Normal    FALSE #> 7750   485 0.5958992 0.105063175  fv Log-Normal   Cox, Log-Normal    FALSE #> 7766   486 0.4667542 0.102867880  fv Log-Normal   Cox, Log-Normal    FALSE #> 7782   487 0.8900147 0.175007983  fv Log-Normal   Cox, Log-Normal    FALSE #> 7798   488 0.4449524 0.087682549  fv Log-Normal   Cox, Log-Normal    FALSE #> 7814   489 0.8004214 0.186144327  fv Log-Normal   Cox, Log-Normal    FALSE #> 7830   490 0.7127792 0.119173213  fv Log-Normal   Cox, Log-Normal    FALSE #> 7846   491 0.6889070 0.133673254  fv Log-Normal   Cox, Log-Normal    FALSE #> 7862   492 0.5582058 0.086242399  fv Log-Normal   Cox, Log-Normal    FALSE #> 7878   493 1.0663941 0.245806620  fv Log-Normal   Cox, Log-Normal     TRUE #> 7894   494 0.6613066 0.106604021  fv Log-Normal   Cox, Log-Normal    FALSE #> 7910   495 0.8228011 0.118045197  fv Log-Normal   Cox, Log-Normal    FALSE #> 7926   496 1.0887179 0.237339281  fv Log-Normal   Cox, Log-Normal     TRUE #> 7942   497 0.5916038 0.114587057  fv Log-Normal   Cox, Log-Normal    FALSE #> 7958   498 0.6348066 0.135633761  fv Log-Normal   Cox, Log-Normal    FALSE #> 7974   499 0.8889109 0.216181001  fv Log-Normal   Cox, Log-Normal    FALSE #> 7990   500 0.6773264 0.138954096  fv Log-Normal   Cox, Log-Normal    FALSE #> 8006   501 1.3435254 0.291530812  fv Log-Normal   Cox, Log-Normal     TRUE #> 8022   502 0.7736005 0.146718156  fv Log-Normal   Cox, Log-Normal    FALSE #> 8038   503 0.7460948 0.134956945  fv Log-Normal   Cox, Log-Normal    FALSE #> 8054   504 0.8756279 0.159497799  fv Log-Normal   Cox, Log-Normal    FALSE #> 8070   505 0.7539893 0.111108625  fv Log-Normal   Cox, Log-Normal    FALSE #> 8086   506 1.0221922 0.240938697  fv Log-Normal   Cox, Log-Normal     TRUE #> 8102   507 0.7310864 0.114690626  fv Log-Normal   Cox, Log-Normal    FALSE #> 8118   508 0.5378310 0.123741319  fv Log-Normal   Cox, Log-Normal    FALSE #> 8134   509 0.6777937 0.130389895  fv Log-Normal   Cox, Log-Normal    FALSE #> 8150   510 0.6842877 0.138741429  fv Log-Normal   Cox, Log-Normal    FALSE #> 8166   511 0.4603930 0.088394301  fv Log-Normal   Cox, Log-Normal    FALSE #> 8182   512 0.7229525 0.147506273  fv Log-Normal   Cox, Log-Normal    FALSE #> 8198   513 0.8035298 0.149275045  fv Log-Normal   Cox, Log-Normal    FALSE #> 8214   514 0.7179322 0.136809080  fv Log-Normal   Cox, Log-Normal    FALSE #> 8230   515 0.5586526 0.122315382  fv Log-Normal   Cox, Log-Normal    FALSE #> 8246   516 0.7377219 0.143754572  fv Log-Normal   Cox, Log-Normal    FALSE #> 8262   517 0.3667741 0.085169579  fv Log-Normal   Cox, Log-Normal    FALSE #> 8278   518 0.7435838 0.138029022  fv Log-Normal   Cox, Log-Normal    FALSE #> 8294   519 0.7674745 0.150261965  fv Log-Normal   Cox, Log-Normal    FALSE #> 8310   520 0.8003345 0.122407092  fv Log-Normal   Cox, Log-Normal    FALSE #> 8326   521 0.7988626 0.169064785  fv Log-Normal   Cox, Log-Normal    FALSE #> 8342   522 0.5375144 0.095228819  fv Log-Normal   Cox, Log-Normal    FALSE #> 8358   523 0.7667009 0.131558815  fv Log-Normal   Cox, Log-Normal    FALSE #> 8374   524 0.5269024 0.120077784  fv Log-Normal   Cox, Log-Normal    FALSE #> 8390   525 0.7031804 0.154586399  fv Log-Normal   Cox, Log-Normal    FALSE #> 8406   526 0.6061274 0.117091908  fv Log-Normal   Cox, Log-Normal    FALSE #> 8422   527 0.7137822 0.163596077  fv Log-Normal   Cox, Log-Normal    FALSE #> 8438   528 0.9252247 0.189829300  fv Log-Normal   Cox, Log-Normal    FALSE #> 8454   529 0.9342341 0.181406052  fv Log-Normal   Cox, Log-Normal    FALSE #> 8470   530 0.4498170 0.111087235  fv Log-Normal   Cox, Log-Normal    FALSE #> 8486   531 0.9979562 0.213629379  fv Log-Normal   Cox, Log-Normal    FALSE #> 8502   532 0.7223377 0.116231722  fv Log-Normal   Cox, Log-Normal    FALSE #> 8518   533 0.6906718 0.122960600  fv Log-Normal   Cox, Log-Normal    FALSE #> 8534   534 0.7416424 0.148941672  fv Log-Normal   Cox, Log-Normal    FALSE #> 8550   535 0.8626834 0.157323432  fv Log-Normal   Cox, Log-Normal    FALSE #> 8566   536 0.5963041 0.116089213  fv Log-Normal   Cox, Log-Normal    FALSE #> 8582   537 1.2345153 0.237582349  fv Log-Normal   Cox, Log-Normal     TRUE #> 8598   538 0.5063558 0.092401072  fv Log-Normal   Cox, Log-Normal    FALSE #> 8614   539 0.6862567 0.149536685  fv Log-Normal   Cox, Log-Normal    FALSE #> 8630   540 0.6141186 0.114391863  fv Log-Normal   Cox, Log-Normal    FALSE #> 8646   541 0.8968782 0.167673684  fv Log-Normal   Cox, Log-Normal    FALSE #> 8662   542 0.8198767 0.169342183  fv Log-Normal   Cox, Log-Normal    FALSE #> 8678   543 0.7575504 0.148707340  fv Log-Normal   Cox, Log-Normal    FALSE #> 8694   544 0.7617908 0.155859277  fv Log-Normal   Cox, Log-Normal    FALSE #> 8710   545 0.5717824 0.084305835  fv Log-Normal   Cox, Log-Normal    FALSE #> 8726   546 0.9040874 0.167410002  fv Log-Normal   Cox, Log-Normal    FALSE #> 8742   547 0.6870910 0.129415648  fv Log-Normal   Cox, Log-Normal    FALSE #> 8758   548 0.5381865 0.117060922  fv Log-Normal   Cox, Log-Normal    FALSE #> 8774   549 0.8835431 0.179113769  fv Log-Normal   Cox, Log-Normal    FALSE #> 8790   550 0.5208702 0.124333872  fv Log-Normal   Cox, Log-Normal    FALSE #> 8806   551 0.7964585 0.156422129  fv Log-Normal   Cox, Log-Normal    FALSE #> 8822   552 0.7041652 0.128276679  fv Log-Normal   Cox, Log-Normal    FALSE #> 8838   553 0.8459051 0.122339846  fv Log-Normal   Cox, Log-Normal    FALSE #> 8854   554 0.8977503 0.179088453  fv Log-Normal   Cox, Log-Normal    FALSE #> 8870   555 0.8326376 0.128746242  fv Log-Normal   Cox, Log-Normal    FALSE #> 8886   556 0.8753515 0.143451520  fv Log-Normal   Cox, Log-Normal    FALSE #> 8902   557 0.6984218 0.127912102  fv Log-Normal   Cox, Log-Normal    FALSE #> 8918   558 0.6669430 0.112161043  fv Log-Normal   Cox, Log-Normal    FALSE #> 8934   559 0.6132347 0.122896494  fv Log-Normal   Cox, Log-Normal    FALSE #> 8950   560 0.7760753 0.145292156  fv Log-Normal   Cox, Log-Normal    FALSE #> 8966   561 1.2406263 0.221751865  fv Log-Normal   Cox, Log-Normal     TRUE #> 8982   562 0.8951923 0.192853014  fv Log-Normal   Cox, Log-Normal    FALSE #> 8998   563 0.7936453 0.148256364  fv Log-Normal   Cox, Log-Normal    FALSE #> 9014   564 0.6496611 0.154999773  fv Log-Normal   Cox, Log-Normal    FALSE #> 9030   565 0.5558608 0.112968507  fv Log-Normal   Cox, Log-Normal    FALSE #> 9046   566 0.7784225 0.197678997  fv Log-Normal   Cox, Log-Normal    FALSE #> 9062   567 0.7390722 0.134151819  fv Log-Normal   Cox, Log-Normal    FALSE #> 9078   568 0.5370427 0.106409861  fv Log-Normal   Cox, Log-Normal    FALSE #> 9094   569 0.8446977 0.151362680  fv Log-Normal   Cox, Log-Normal    FALSE #> 9110   570 0.5783874 0.154235730  fv Log-Normal   Cox, Log-Normal    FALSE #> 9126   571 0.6980819 0.132611887  fv Log-Normal   Cox, Log-Normal    FALSE #> 9142   572 0.6078955 0.113509666  fv Log-Normal   Cox, Log-Normal    FALSE #> 9158   573 0.6531702 0.123193776  fv Log-Normal   Cox, Log-Normal    FALSE #> 9174   574 0.7369219 0.133697888  fv Log-Normal   Cox, Log-Normal    FALSE #> 9190   575 0.6652456 0.174809549  fv Log-Normal   Cox, Log-Normal    FALSE #> 9206   576 0.7042127 0.184240750  fv Log-Normal   Cox, Log-Normal    FALSE #> 9222   577 0.9058959 0.206369728  fv Log-Normal   Cox, Log-Normal    FALSE #> 9238   578 0.5871046 0.099243005  fv Log-Normal   Cox, Log-Normal    FALSE #> 9254   579 0.6010841 0.132716062  fv Log-Normal   Cox, Log-Normal    FALSE #> 9270   580 0.4971421 0.107766896  fv Log-Normal   Cox, Log-Normal    FALSE #> 9286   581 0.7923715 0.151082100  fv Log-Normal   Cox, Log-Normal    FALSE #> 9302   582 0.7728312 0.153502508  fv Log-Normal   Cox, Log-Normal    FALSE #> 9318   583 1.0323624 0.163822527  fv Log-Normal   Cox, Log-Normal    FALSE #> 9334   584 0.5414420 0.108025677  fv Log-Normal   Cox, Log-Normal    FALSE #> 9350   585 0.7190622 0.114529054  fv Log-Normal   Cox, Log-Normal    FALSE #> 9366   586 0.7455106 0.124365353  fv Log-Normal   Cox, Log-Normal    FALSE #> 9382   587 0.9302355 0.214573938  fv Log-Normal   Cox, Log-Normal    FALSE #> 9398   588 0.5806374 0.109803503  fv Log-Normal   Cox, Log-Normal    FALSE #> 9414   589 0.6039216 0.119344261  fv Log-Normal   Cox, Log-Normal    FALSE #> 9430   590 0.8219766 0.176507665  fv Log-Normal   Cox, Log-Normal    FALSE #> 9446   591 0.8456887 0.166784984  fv Log-Normal   Cox, Log-Normal    FALSE #> 9462   592 0.8298067 0.163691115  fv Log-Normal   Cox, Log-Normal    FALSE #> 9478   593 0.9301881 0.184785185  fv Log-Normal   Cox, Log-Normal    FALSE #> 9494   594 0.7212752 0.124340342  fv Log-Normal   Cox, Log-Normal    FALSE #> 9510   595 0.5431571 0.090258789  fv Log-Normal   Cox, Log-Normal    FALSE #> 9526   596 0.7293813 0.174344234  fv Log-Normal   Cox, Log-Normal    FALSE #> 9542   597 0.6050940 0.111506243  fv Log-Normal   Cox, Log-Normal    FALSE #> 9558   598 1.0673488 0.205896016  fv Log-Normal   Cox, Log-Normal    FALSE #> 9574   599 0.7497517 0.183646091  fv Log-Normal   Cox, Log-Normal    FALSE #> 9590   600 0.5310092 0.109738635  fv Log-Normal   Cox, Log-Normal    FALSE #> 9606   601 1.1622807 0.252214764  fv Log-Normal   Cox, Log-Normal     TRUE #> 9622   602 0.9860745 0.203449964  fv Log-Normal   Cox, Log-Normal    FALSE #> 9638   603 0.4156386 0.069227727  fv Log-Normal   Cox, Log-Normal    FALSE #> 9654   604 0.7547442 0.131357593  fv Log-Normal   Cox, Log-Normal    FALSE #> 9670   605 1.2270888 0.254788035  fv Log-Normal   Cox, Log-Normal     TRUE #> 9686   606 0.6744288 0.140766466  fv Log-Normal   Cox, Log-Normal    FALSE #> 9702   607 0.6089607 0.135399445  fv Log-Normal   Cox, Log-Normal    FALSE #> 9718   608 0.4385750 0.078430090  fv Log-Normal   Cox, Log-Normal    FALSE #> 9734   609 0.8290773 0.146094145  fv Log-Normal   Cox, Log-Normal    FALSE #> 9750   610 0.6340374 0.128702321  fv Log-Normal   Cox, Log-Normal    FALSE #> 9766   611 0.8007515 0.201200477  fv Log-Normal   Cox, Log-Normal    FALSE #> 9782   612 0.5875066 0.117282979  fv Log-Normal   Cox, Log-Normal    FALSE #> 9798   613 0.8175702 0.130135551  fv Log-Normal   Cox, Log-Normal    FALSE #> 9814   614 0.7773840 0.134334791  fv Log-Normal   Cox, Log-Normal    FALSE #> 9830   615 0.8689451 0.145406422  fv Log-Normal   Cox, Log-Normal    FALSE #> 9846   616 0.7820989 0.151533700  fv Log-Normal   Cox, Log-Normal    FALSE #> 9862   617 0.7837638 0.136211673  fv Log-Normal   Cox, Log-Normal    FALSE #> 9878   618 0.6788178 0.142475685  fv Log-Normal   Cox, Log-Normal    FALSE #> 9894   619 0.8183659 0.154788400  fv Log-Normal   Cox, Log-Normal    FALSE #> 9910   620 0.8171046 0.180268515  fv Log-Normal   Cox, Log-Normal    FALSE #> 9926   621 0.5639292 0.107073034  fv Log-Normal   Cox, Log-Normal    FALSE #> 9942   622 0.6314516 0.125356048  fv Log-Normal   Cox, Log-Normal    FALSE #> 9958   623 0.8785102 0.184572000  fv Log-Normal   Cox, Log-Normal    FALSE #> 9974   624 0.5825642 0.140201227  fv Log-Normal   Cox, Log-Normal    FALSE #> 9990   625 0.7614824 0.157638018  fv Log-Normal   Cox, Log-Normal    FALSE #> 10006  626 0.6383478 0.128329406  fv Log-Normal   Cox, Log-Normal    FALSE #> 10022  627 0.6242897 0.114015728  fv Log-Normal   Cox, Log-Normal    FALSE #> 10038  628 0.6642862 0.172314284  fv Log-Normal   Cox, Log-Normal    FALSE #> 10054  629 0.6375845 0.122839399  fv Log-Normal   Cox, Log-Normal    FALSE #> 10070  630 0.8324783 0.130755118  fv Log-Normal   Cox, Log-Normal    FALSE #> 10086  631 0.6702640 0.108227424  fv Log-Normal   Cox, Log-Normal    FALSE #> 10102  632 0.7767630 0.177729336  fv Log-Normal   Cox, Log-Normal    FALSE #> 10118  633 0.4914987 0.093416187  fv Log-Normal   Cox, Log-Normal    FALSE #> 10134  634 0.6746632 0.175170229  fv Log-Normal   Cox, Log-Normal    FALSE #> 10150  635 0.9036130 0.202423279  fv Log-Normal   Cox, Log-Normal    FALSE #> 10166  636 0.4183601 0.083783931  fv Log-Normal   Cox, Log-Normal    FALSE #> 10182  637 0.8719040 0.157295311  fv Log-Normal   Cox, Log-Normal    FALSE #> 10198  638 0.6832427 0.161228334  fv Log-Normal   Cox, Log-Normal    FALSE #> 10214  639 0.4325527 0.097111445  fv Log-Normal   Cox, Log-Normal    FALSE #> 10230  640 0.7229937 0.154618672  fv Log-Normal   Cox, Log-Normal    FALSE #> 10246  641 0.5857330 0.122395333  fv Log-Normal   Cox, Log-Normal    FALSE #> 10262  642 0.6360379 0.117279907  fv Log-Normal   Cox, Log-Normal    FALSE #> 10278  643 0.6645645 0.116264569  fv Log-Normal   Cox, Log-Normal    FALSE #> 10294  644 0.6190932 0.107311160  fv Log-Normal   Cox, Log-Normal    FALSE #> 10310  645 0.7533956 0.134819768  fv Log-Normal   Cox, Log-Normal    FALSE #> 10326  646 0.8375410 0.134833528  fv Log-Normal   Cox, Log-Normal    FALSE #> 10342  647 0.6563751 0.098262571  fv Log-Normal   Cox, Log-Normal    FALSE #> 10358  648 1.0706016 0.216998183  fv Log-Normal   Cox, Log-Normal    FALSE #> 10374  649 0.6314217 0.139306982  fv Log-Normal   Cox, Log-Normal    FALSE #> 10390  650 0.8102765 0.157581814  fv Log-Normal   Cox, Log-Normal    FALSE #> 10406  651 0.7925761 0.156304582  fv Log-Normal   Cox, Log-Normal    FALSE #> 10422  652 1.2665462 0.209947407  fv Log-Normal   Cox, Log-Normal     TRUE #> 10438  653 0.5434712 0.103592893  fv Log-Normal   Cox, Log-Normal    FALSE #> 10454  654 0.5856523 0.164414521  fv Log-Normal   Cox, Log-Normal    FALSE #> 10470  655 0.7001387 0.134566498  fv Log-Normal   Cox, Log-Normal    FALSE #> 10486  656 0.7099659 0.150674082  fv Log-Normal   Cox, Log-Normal    FALSE #> 10502  657 0.5343694 0.110794639  fv Log-Normal   Cox, Log-Normal    FALSE #> 10518  658 1.1477870 0.241951186  fv Log-Normal   Cox, Log-Normal     TRUE #> 10534  659 1.0433141 0.268908122  fv Log-Normal   Cox, Log-Normal     TRUE #> 10550  660 0.8574517 0.160474979  fv Log-Normal   Cox, Log-Normal    FALSE #> 10566  661 0.5656016 0.115462157  fv Log-Normal   Cox, Log-Normal    FALSE #> 10582  662 0.5913374 0.112065321  fv Log-Normal   Cox, Log-Normal    FALSE #> 10598  663 0.7014024 0.115616243  fv Log-Normal   Cox, Log-Normal    FALSE #> 10614  664 0.7024798 0.117240169  fv Log-Normal   Cox, Log-Normal    FALSE #> 10630  665 0.8771094 0.169469126  fv Log-Normal   Cox, Log-Normal    FALSE #> 10646  666 1.1630685 0.201255082  fv Log-Normal   Cox, Log-Normal     TRUE #> 10662  667 0.6484067 0.117314626  fv Log-Normal   Cox, Log-Normal    FALSE #> 10678  668 0.6308263 0.131132730  fv Log-Normal   Cox, Log-Normal    FALSE #> 10694  669 0.9142532 0.187111491  fv Log-Normal   Cox, Log-Normal    FALSE #> 10710  670 0.6192754 0.147049588  fv Log-Normal   Cox, Log-Normal    FALSE #> 10726  671 0.7969559 0.146088966  fv Log-Normal   Cox, Log-Normal    FALSE #> 10742  672 0.9573071 0.193663466  fv Log-Normal   Cox, Log-Normal    FALSE #> 10758  673 0.6501472 0.117106072  fv Log-Normal   Cox, Log-Normal    FALSE #> 10774  674 0.8224194 0.160584426  fv Log-Normal   Cox, Log-Normal    FALSE #> 10790  675 0.6495018 0.188477878  fv Log-Normal   Cox, Log-Normal    FALSE #> 10806  676 0.8711933 0.164562370  fv Log-Normal   Cox, Log-Normal    FALSE #> 10822  677 0.6800675 0.117054835  fv Log-Normal   Cox, Log-Normal    FALSE #> 10838  678 0.5713441 0.107816673  fv Log-Normal   Cox, Log-Normal    FALSE #> 10854  679 0.6112346 0.133477913  fv Log-Normal   Cox, Log-Normal    FALSE #> 10870  680 0.7496116 0.136062520  fv Log-Normal   Cox, Log-Normal    FALSE #> 10886  681 1.0147299 0.200149345  fv Log-Normal   Cox, Log-Normal    FALSE #> 10902  682 0.6897060 0.140083930  fv Log-Normal   Cox, Log-Normal    FALSE #> 10918  683 0.8143957 0.185740341  fv Log-Normal   Cox, Log-Normal    FALSE #> 10934  684 1.0560264 0.219153739  fv Log-Normal   Cox, Log-Normal    FALSE #> 10950  685 0.6654488 0.115993957  fv Log-Normal   Cox, Log-Normal    FALSE #> 10966  686 0.8930725 0.173037645  fv Log-Normal   Cox, Log-Normal    FALSE #> 10982  687 0.5843867 0.083530258  fv Log-Normal   Cox, Log-Normal    FALSE #> 10998  688 0.6143148 0.131684418  fv Log-Normal   Cox, Log-Normal    FALSE #> 11014  689 0.6573937 0.127658438  fv Log-Normal   Cox, Log-Normal    FALSE #> 11030  690 0.8718297 0.179672033  fv Log-Normal   Cox, Log-Normal    FALSE #> 11046  691 0.7069982 0.288250138  fv Log-Normal   Cox, Log-Normal     TRUE #> 11062  692 0.6778167 0.148233924  fv Log-Normal   Cox, Log-Normal    FALSE #> 11078  693 0.5430129 0.135999915  fv Log-Normal   Cox, Log-Normal    FALSE #> 11094  694 0.7297001 0.140998825  fv Log-Normal   Cox, Log-Normal    FALSE #> 11110  695 0.6424014 0.105666649  fv Log-Normal   Cox, Log-Normal    FALSE #> 11126  696 0.7792619 0.119330409  fv Log-Normal   Cox, Log-Normal    FALSE #> 11142  697 0.8896887 0.198744409  fv Log-Normal   Cox, Log-Normal    FALSE #> 11158  698 0.4671205 0.106620840  fv Log-Normal   Cox, Log-Normal    FALSE #> 11174  699 0.7181789 0.160616129  fv Log-Normal   Cox, Log-Normal    FALSE #> 11190  700 0.5477280 0.108273968  fv Log-Normal   Cox, Log-Normal    FALSE #> 11206  701 0.8589172 0.180922288  fv Log-Normal   Cox, Log-Normal    FALSE #> 11222  702 0.8686646 0.196511490  fv Log-Normal   Cox, Log-Normal    FALSE #> 11238  703 0.7410847 0.159178375  fv Log-Normal   Cox, Log-Normal    FALSE #> 11254  704 0.6408199 0.125427367  fv Log-Normal   Cox, Log-Normal    FALSE #> 11270  705 0.7057959 0.146779535  fv Log-Normal   Cox, Log-Normal    FALSE #> 11286  706 0.7643511 0.148323471  fv Log-Normal   Cox, Log-Normal    FALSE #> 11302  707 0.9700524 0.160443888  fv Log-Normal   Cox, Log-Normal    FALSE #> 11318  708 0.9265933 0.149354147  fv Log-Normal   Cox, Log-Normal    FALSE #> 11334  709 0.6749683 0.172123684  fv Log-Normal   Cox, Log-Normal    FALSE #> 11350  710 0.5117771 0.091200765  fv Log-Normal   Cox, Log-Normal    FALSE #> 11366  711 0.6439905 0.167360644  fv Log-Normal   Cox, Log-Normal    FALSE #> 11382  712 0.6767084 0.108127089  fv Log-Normal   Cox, Log-Normal    FALSE #> 11398  713 1.0129778 0.274729370  fv Log-Normal   Cox, Log-Normal     TRUE #> 11414  714 0.8089406 0.174250652  fv Log-Normal   Cox, Log-Normal    FALSE #> 11430  715 0.8597580 0.165342420  fv Log-Normal   Cox, Log-Normal    FALSE #> 11446  716 0.7624100 0.134839371  fv Log-Normal   Cox, Log-Normal    FALSE #> 11462  717 0.8249533 0.167079927  fv Log-Normal   Cox, Log-Normal    FALSE #> 11478  718 0.8576847 0.162024555  fv Log-Normal   Cox, Log-Normal    FALSE #> 11494  719 0.9824621 0.237930201  fv Log-Normal   Cox, Log-Normal     TRUE #> 11510  720 0.7869505 0.125298604  fv Log-Normal   Cox, Log-Normal    FALSE #> 11526  721 0.6114592 0.138309040  fv Log-Normal   Cox, Log-Normal    FALSE #> 11542  722 0.8040976 0.146430602  fv Log-Normal   Cox, Log-Normal    FALSE #> 11558  723 0.6317170 0.117974648  fv Log-Normal   Cox, Log-Normal    FALSE #> 11574  724 0.7495479 0.173784769  fv Log-Normal   Cox, Log-Normal    FALSE #> 11590  725 0.7586515 0.141571771  fv Log-Normal   Cox, Log-Normal    FALSE #> 11606  726 0.6758165 0.142506550  fv Log-Normal   Cox, Log-Normal    FALSE #> 11622  727 0.7878067 0.116750587  fv Log-Normal   Cox, Log-Normal    FALSE #> 11638  728 1.0293747 0.182526831  fv Log-Normal   Cox, Log-Normal    FALSE #> 11654  729 0.7858074 0.152231699  fv Log-Normal   Cox, Log-Normal    FALSE #> 11670  730 0.8523065 0.177705684  fv Log-Normal   Cox, Log-Normal    FALSE #> 11686  731 0.5676312 0.154710463  fv Log-Normal   Cox, Log-Normal    FALSE #> 11702  732 0.4997332 0.136812917  fv Log-Normal   Cox, Log-Normal    FALSE #> 11718  733 0.9890456 0.207143362  fv Log-Normal   Cox, Log-Normal    FALSE #> 11734  734 0.8982896 0.180036540  fv Log-Normal   Cox, Log-Normal    FALSE #> 11750  735 1.0022962 0.154539597  fv Log-Normal   Cox, Log-Normal    FALSE #> 11766  736 0.8541157 0.183590550  fv Log-Normal   Cox, Log-Normal    FALSE #> 11782  737 0.7416449 0.113810433  fv Log-Normal   Cox, Log-Normal    FALSE #> 11798  738 0.5320803 0.105301645  fv Log-Normal   Cox, Log-Normal    FALSE #> 11814  739 0.6012800 0.128194651  fv Log-Normal   Cox, Log-Normal    FALSE #> 11830  740 0.8138247 0.152345638  fv Log-Normal   Cox, Log-Normal    FALSE #> 11846  741 1.0145235 0.181258293  fv Log-Normal   Cox, Log-Normal    FALSE #> 11862  742 0.6611129 0.120578274  fv Log-Normal   Cox, Log-Normal    FALSE #> 11878  743 0.7645426 0.114386181  fv Log-Normal   Cox, Log-Normal    FALSE #> 11894  744 0.7905449 0.201901154  fv Log-Normal   Cox, Log-Normal    FALSE #> 11910  745 0.7800280 0.154382410  fv Log-Normal   Cox, Log-Normal    FALSE #> 11926  746 0.5983568 0.171488391  fv Log-Normal   Cox, Log-Normal    FALSE #> 11942  747 0.6553279 0.126681997  fv Log-Normal   Cox, Log-Normal    FALSE #> 11958  748 0.8596291 0.190755108  fv Log-Normal   Cox, Log-Normal    FALSE #> 11974  749 0.9163101 0.186289412  fv Log-Normal   Cox, Log-Normal    FALSE #> 11990  750 0.7524690 0.142892311  fv Log-Normal   Cox, Log-Normal    FALSE #> 12006  751 0.8953943 0.163271302  fv Log-Normal   Cox, Log-Normal    FALSE #> 12022  752 0.6902168 0.167689577  fv Log-Normal   Cox, Log-Normal    FALSE #> 12038  753 0.4443201 0.114075408  fv Log-Normal   Cox, Log-Normal    FALSE #> 12054  754 0.7877421 0.145197625  fv Log-Normal   Cox, Log-Normal    FALSE #> 12070  755 0.6689381 0.126865509  fv Log-Normal   Cox, Log-Normal    FALSE #> 12086  756 0.3785131 0.082873155  fv Log-Normal   Cox, Log-Normal    FALSE #> 12102  757 0.6779404 0.130786163  fv Log-Normal   Cox, Log-Normal    FALSE #> 12118  758 0.7746253 0.163500811  fv Log-Normal   Cox, Log-Normal    FALSE #> 12134  759 0.6781740 0.122448396  fv Log-Normal   Cox, Log-Normal    FALSE #> 12150  760 0.8695697 0.184253732  fv Log-Normal   Cox, Log-Normal    FALSE #> 12166  761 0.6318074 0.126609451  fv Log-Normal   Cox, Log-Normal    FALSE #> 12182  762 0.7612468 0.155081467  fv Log-Normal   Cox, Log-Normal    FALSE #> 12198  763 0.5637018 0.111824322  fv Log-Normal   Cox, Log-Normal    FALSE #> 12214  764 0.6553212 0.114285817  fv Log-Normal   Cox, Log-Normal    FALSE #> 12230  765 0.9462467 0.163155624  fv Log-Normal   Cox, Log-Normal    FALSE #> 12246  766 0.6537097 0.106200814  fv Log-Normal   Cox, Log-Normal    FALSE #> 12262  767 0.8747035 0.162635548  fv Log-Normal   Cox, Log-Normal    FALSE #> 12278  768 0.5877160 0.115237900  fv Log-Normal   Cox, Log-Normal    FALSE #> 12294  769 1.0167998 0.184375254  fv Log-Normal   Cox, Log-Normal    FALSE #> 12310  770 0.6130030 0.145352310  fv Log-Normal   Cox, Log-Normal    FALSE #> 12326  771 0.5745927 0.203706310  fv Log-Normal   Cox, Log-Normal    FALSE #> 12342  772 0.5853131 0.110646970  fv Log-Normal   Cox, Log-Normal    FALSE #> 12358  773 0.5687756 0.134007492  fv Log-Normal   Cox, Log-Normal    FALSE #> 12374  774 0.7226932 0.149336319  fv Log-Normal   Cox, Log-Normal    FALSE #> 12390  775 0.6797903 0.122447722  fv Log-Normal   Cox, Log-Normal    FALSE #> 12406  776 0.6853206 0.109785022  fv Log-Normal   Cox, Log-Normal    FALSE #> 12422  777 0.6212015 0.129042772  fv Log-Normal   Cox, Log-Normal    FALSE #> 12438  778 0.7164382 0.234844057  fv Log-Normal   Cox, Log-Normal    FALSE #> 12454  779 0.6742564 0.143043418  fv Log-Normal   Cox, Log-Normal    FALSE #> 12470  780 0.6170242 0.105097932  fv Log-Normal   Cox, Log-Normal    FALSE #> 12486  781 0.7318112 0.142735071  fv Log-Normal   Cox, Log-Normal    FALSE #> 12502  782 0.6610061 0.135449920  fv Log-Normal   Cox, Log-Normal    FALSE #> 12518  783 0.6278950 0.104305213  fv Log-Normal   Cox, Log-Normal    FALSE #> 12534  784 0.8094113 0.169945752  fv Log-Normal   Cox, Log-Normal    FALSE #> 12550  785 0.4946073 0.092835822  fv Log-Normal   Cox, Log-Normal    FALSE #> 12566  786 0.6267274 0.128041392  fv Log-Normal   Cox, Log-Normal    FALSE #> 12582  787 1.0178487 0.161660428  fv Log-Normal   Cox, Log-Normal    FALSE #> 12598  788 0.7008192 0.129005706  fv Log-Normal   Cox, Log-Normal    FALSE #> 12614  789 0.9344409 0.209106923  fv Log-Normal   Cox, Log-Normal    FALSE #> 12630  790 0.7454167 0.158623779  fv Log-Normal   Cox, Log-Normal    FALSE #> 12646  791 0.4161568 0.067941163  fv Log-Normal   Cox, Log-Normal    FALSE #> 12662  792 0.5456873 0.127448237  fv Log-Normal   Cox, Log-Normal    FALSE #> 12678  793 0.8498802 0.152802063  fv Log-Normal   Cox, Log-Normal    FALSE #> 12694  794 0.6776564 0.170730758  fv Log-Normal   Cox, Log-Normal    FALSE #> 12710  795 0.6364088 0.114399391  fv Log-Normal   Cox, Log-Normal    FALSE #> 12726  796 0.6120280 0.123040994  fv Log-Normal   Cox, Log-Normal    FALSE #> 12742  797 0.6868664 0.174130114  fv Log-Normal   Cox, Log-Normal    FALSE #> 12758  798 0.4111110 0.073952807  fv Log-Normal   Cox, Log-Normal    FALSE #> 12774  799 0.7667146 0.131502219  fv Log-Normal   Cox, Log-Normal    FALSE #> 12790  800 0.7651482 0.172314768  fv Log-Normal   Cox, Log-Normal    FALSE #> 12806  801 0.9872713 0.175396964  fv Log-Normal   Cox, Log-Normal    FALSE #> 12822  802 0.7981148 0.154386226  fv Log-Normal   Cox, Log-Normal    FALSE #> 12838  803 0.6583993 0.114725176  fv Log-Normal   Cox, Log-Normal    FALSE #> 12854  804 0.7555532 0.134524463  fv Log-Normal   Cox, Log-Normal    FALSE #> 12870  805 0.8249342 0.224337487  fv Log-Normal   Cox, Log-Normal    FALSE #> 12886  806 0.7903732 0.194773703  fv Log-Normal   Cox, Log-Normal    FALSE #> 12902  807 0.6441408 0.165412856  fv Log-Normal   Cox, Log-Normal    FALSE #> 12918  808 0.5046575 0.080358900  fv Log-Normal   Cox, Log-Normal    FALSE #> 12934  809 0.6864933 0.146661840  fv Log-Normal   Cox, Log-Normal    FALSE #> 12950  810 0.8124512 0.154133092  fv Log-Normal   Cox, Log-Normal    FALSE #> 12966  811 0.4692017 0.082645886  fv Log-Normal   Cox, Log-Normal    FALSE #> 12982  812 0.7250259 0.147300631  fv Log-Normal   Cox, Log-Normal    FALSE #> 12998  813 0.8814457 0.152466669  fv Log-Normal   Cox, Log-Normal    FALSE #> 13014  814 0.6852626 0.133497265  fv Log-Normal   Cox, Log-Normal    FALSE #> 13030  815 0.5973459 0.152294373  fv Log-Normal   Cox, Log-Normal    FALSE #> 13046  816 0.6997353 0.136317443  fv Log-Normal   Cox, Log-Normal    FALSE #> 13062  817 0.4710155 0.088285645  fv Log-Normal   Cox, Log-Normal    FALSE #> 13078  818 0.6451949 0.153857802  fv Log-Normal   Cox, Log-Normal    FALSE #> 13094  819 0.8337783 0.122400350  fv Log-Normal   Cox, Log-Normal    FALSE #> 13110  820 0.8563875 0.184562604  fv Log-Normal   Cox, Log-Normal    FALSE #> 13126  821 0.5642452 0.099701124  fv Log-Normal   Cox, Log-Normal    FALSE #> 13142  822 0.8848165 0.173698620  fv Log-Normal   Cox, Log-Normal    FALSE #> 13158  823 0.9679673 0.224333994  fv Log-Normal   Cox, Log-Normal    FALSE #> 13174  824 0.9169811 0.190827566  fv Log-Normal   Cox, Log-Normal    FALSE #> 13190  825 0.7620785 0.143634398  fv Log-Normal   Cox, Log-Normal    FALSE #> 13206  826 0.8129126 0.187223856  fv Log-Normal   Cox, Log-Normal    FALSE #> 13222  827 0.8913960 0.200847045  fv Log-Normal   Cox, Log-Normal    FALSE #> 13238  828 0.7526682 0.217873031  fv Log-Normal   Cox, Log-Normal    FALSE #> 13254  829 0.7129035 0.141271513  fv Log-Normal   Cox, Log-Normal    FALSE #> 13270  830 0.8093686 0.161447055  fv Log-Normal   Cox, Log-Normal    FALSE #> 13286  831 0.8728235 0.152899961  fv Log-Normal   Cox, Log-Normal    FALSE #> 13302  832 0.5911143 0.140956737  fv Log-Normal   Cox, Log-Normal    FALSE #> 13318  833 0.8823798 0.182578061  fv Log-Normal   Cox, Log-Normal    FALSE #> 13334  834 0.6489802 0.138432704  fv Log-Normal   Cox, Log-Normal    FALSE #> 13350  835 0.6823934 0.138367545  fv Log-Normal   Cox, Log-Normal    FALSE #> 13366  836 0.7826148 0.163460070  fv Log-Normal   Cox, Log-Normal    FALSE #> 13382  837 0.7736597 0.176327722  fv Log-Normal   Cox, Log-Normal    FALSE #> 13398  838 0.7054494 0.122169599  fv Log-Normal   Cox, Log-Normal    FALSE #> 13414  839 0.5919390 0.130336343  fv Log-Normal   Cox, Log-Normal    FALSE #> 13430  840 0.6180481 0.108543993  fv Log-Normal   Cox, Log-Normal    FALSE #> 13446  841 0.9302992 0.196914198  fv Log-Normal   Cox, Log-Normal    FALSE #> 13462  842 0.5602323 0.109237597  fv Log-Normal   Cox, Log-Normal    FALSE #> 13478  843 0.6748513 0.144994565  fv Log-Normal   Cox, Log-Normal    FALSE #> 13494  844 0.9129811 0.159326671  fv Log-Normal   Cox, Log-Normal    FALSE #> 13510  845 0.9877512 0.201813260  fv Log-Normal   Cox, Log-Normal    FALSE #> 13526  846 0.5533760 0.112530844  fv Log-Normal   Cox, Log-Normal    FALSE #> 13542  847 1.0264997 0.158287594  fv Log-Normal   Cox, Log-Normal    FALSE #> 13558  848 0.8399707 0.148734031  fv Log-Normal   Cox, Log-Normal    FALSE #> 13574  849 0.6201535 0.111310526  fv Log-Normal   Cox, Log-Normal    FALSE #> 13590  850 0.8142559 0.145644218  fv Log-Normal   Cox, Log-Normal    FALSE #> 13606  851 0.7006251 0.122041091  fv Log-Normal   Cox, Log-Normal    FALSE #> 13622  852 0.7511030 0.133087367  fv Log-Normal   Cox, Log-Normal    FALSE #> 13638  853 1.0390655 0.145203301  fv Log-Normal   Cox, Log-Normal    FALSE #> 13654  854 0.7097626 0.174226283  fv Log-Normal   Cox, Log-Normal    FALSE #> 13670  855 0.6546727 0.164479144  fv Log-Normal   Cox, Log-Normal    FALSE #> 13686  856 0.8742938 0.176632638  fv Log-Normal   Cox, Log-Normal    FALSE #> 13702  857 0.8235076 0.201058874  fv Log-Normal   Cox, Log-Normal    FALSE #> 13718  858 1.0655379 0.200597120  fv Log-Normal   Cox, Log-Normal    FALSE #> 13734  859 0.9019343 0.175412623  fv Log-Normal   Cox, Log-Normal    FALSE #> 13750  860 0.6622603 0.126053239  fv Log-Normal   Cox, Log-Normal    FALSE #> 13766  861 0.4665198 0.077897819  fv Log-Normal   Cox, Log-Normal    FALSE #> 13782  862 0.6543993 0.124272472  fv Log-Normal   Cox, Log-Normal    FALSE #> 13798  863 0.6978115 0.134982065  fv Log-Normal   Cox, Log-Normal    FALSE #> 13814  864 0.9283803 0.173095332  fv Log-Normal   Cox, Log-Normal    FALSE #> 13830  865 0.9136195 0.174912207  fv Log-Normal   Cox, Log-Normal    FALSE #> 13846  866 0.7371495 0.158525534  fv Log-Normal   Cox, Log-Normal    FALSE #> 13862  867 0.6008699 0.124295016  fv Log-Normal   Cox, Log-Normal    FALSE #> 13878  868 0.8928902 0.189023552  fv Log-Normal   Cox, Log-Normal    FALSE #> 13894  869 0.5323448 0.094885987  fv Log-Normal   Cox, Log-Normal    FALSE #> 13910  870 0.7740212 0.153614509  fv Log-Normal   Cox, Log-Normal    FALSE #> 13926  871 0.5040690 0.094185702  fv Log-Normal   Cox, Log-Normal    FALSE #> 13942  872 0.4682306 0.082330866  fv Log-Normal   Cox, Log-Normal    FALSE #> 13958  873 0.8744887 0.139709149  fv Log-Normal   Cox, Log-Normal    FALSE #> 13974  874 0.7783567 0.192580753  fv Log-Normal   Cox, Log-Normal    FALSE #> 13990  875 0.6773657 0.139640942  fv Log-Normal   Cox, Log-Normal    FALSE #> 14006  876 0.6165045 0.121485821  fv Log-Normal   Cox, Log-Normal    FALSE #> 14022  877 0.5859028 0.131899842  fv Log-Normal   Cox, Log-Normal    FALSE #> 14038  878 0.6917847 0.157165569  fv Log-Normal   Cox, Log-Normal    FALSE #> 14054  879 0.6977268 0.137740612  fv Log-Normal   Cox, Log-Normal    FALSE #> 14070  880 0.8483322 0.141854241  fv Log-Normal   Cox, Log-Normal    FALSE #> 14086  881 0.5661982 0.102733370  fv Log-Normal   Cox, Log-Normal    FALSE #> 14102  882 0.7169868 0.152447981  fv Log-Normal   Cox, Log-Normal    FALSE #> 14118  883 0.6447592 0.153543953  fv Log-Normal   Cox, Log-Normal    FALSE #> 14134  884 0.5975498 0.128517356  fv Log-Normal   Cox, Log-Normal    FALSE #> 14150  885 0.7782512 0.162836252  fv Log-Normal   Cox, Log-Normal    FALSE #> 14166  886 0.6628296 0.148932066  fv Log-Normal   Cox, Log-Normal    FALSE #> 14182  887 0.3830570 0.087415331  fv Log-Normal   Cox, Log-Normal    FALSE #> 14198  888 0.6791310 0.150167427  fv Log-Normal   Cox, Log-Normal    FALSE #> 14214  889 0.7780627 0.203727025  fv Log-Normal   Cox, Log-Normal    FALSE #> 14230  890 0.7108866 0.125667784  fv Log-Normal   Cox, Log-Normal    FALSE #> 14246  891 0.7540428 0.144451491  fv Log-Normal   Cox, Log-Normal    FALSE #> 14262  892 1.0121293 0.224929443  fv Log-Normal   Cox, Log-Normal    FALSE #> 14278  893 0.4956099 0.115792086  fv Log-Normal   Cox, Log-Normal    FALSE #> 14294  894 0.5889320 0.111970124  fv Log-Normal   Cox, Log-Normal    FALSE #> 14310  895 0.8335347 0.185574046  fv Log-Normal   Cox, Log-Normal    FALSE #> 14326  896 0.6037923 0.156766168  fv Log-Normal   Cox, Log-Normal    FALSE #> 14342  897 0.6843269 0.122402774  fv Log-Normal   Cox, Log-Normal    FALSE #> 14358  898 0.9409321 0.285299319  fv Log-Normal   Cox, Log-Normal     TRUE #> 14374  899 0.9418146 0.342156384  fv Log-Normal   Cox, Log-Normal     TRUE #> 14390  900 0.7374075 0.157498955  fv Log-Normal   Cox, Log-Normal    FALSE #> 14406  901 0.7858528 0.120999175  fv Log-Normal   Cox, Log-Normal    FALSE #> 14422  902 0.8540252 0.162479893  fv Log-Normal   Cox, Log-Normal    FALSE #> 14438  903 0.5849627 0.125627421  fv Log-Normal   Cox, Log-Normal    FALSE #> 14454  904 0.7057806 0.149798576  fv Log-Normal   Cox, Log-Normal    FALSE #> 14470  905 0.7357375 0.126263556  fv Log-Normal   Cox, Log-Normal    FALSE #> 14486  906 0.7226696 0.143793789  fv Log-Normal   Cox, Log-Normal    FALSE #> 14502  907 0.6382255 0.144489887  fv Log-Normal   Cox, Log-Normal    FALSE #> 14518  908 0.5633960 0.116541748  fv Log-Normal   Cox, Log-Normal    FALSE #> 14534  909 0.9533251 0.171236085  fv Log-Normal   Cox, Log-Normal    FALSE #> 14550  910 0.6853516 0.148763485  fv Log-Normal   Cox, Log-Normal    FALSE #> 14566  911 0.6876648 0.117291524  fv Log-Normal   Cox, Log-Normal    FALSE #> 14582  912 0.3920258 0.067947080  fv Log-Normal   Cox, Log-Normal    FALSE #> 14598  913 0.6137430 0.109088353  fv Log-Normal   Cox, Log-Normal    FALSE #> 14614  914 0.8636100 0.164033956  fv Log-Normal   Cox, Log-Normal    FALSE #> 14630  915 0.6906558 0.126734273  fv Log-Normal   Cox, Log-Normal    FALSE #> 14646  916 0.7289457 0.129897014  fv Log-Normal   Cox, Log-Normal    FALSE #> 14662  917 0.5314274 0.129139130  fv Log-Normal   Cox, Log-Normal    FALSE #> 14678  918 0.5742138 0.121553839  fv Log-Normal   Cox, Log-Normal    FALSE #> 14694  919 0.6544943 0.119380355  fv Log-Normal   Cox, Log-Normal    FALSE #> 14710  920 0.6868399 0.113637131  fv Log-Normal   Cox, Log-Normal    FALSE #> 14726  921 1.1773278 0.226105941  fv Log-Normal   Cox, Log-Normal     TRUE #> 14742  922 0.6144325 0.114228710  fv Log-Normal   Cox, Log-Normal    FALSE #> 14758  923 1.0843000 0.228582600  fv Log-Normal   Cox, Log-Normal    FALSE #> 14774  924 0.6749561 0.128183794  fv Log-Normal   Cox, Log-Normal    FALSE #> 14790  925 0.7478889 0.156179177  fv Log-Normal   Cox, Log-Normal    FALSE #> 14806  926 0.9518760 0.174183082  fv Log-Normal   Cox, Log-Normal    FALSE #> 14822  927 0.8086761 0.157608442  fv Log-Normal   Cox, Log-Normal    FALSE #> 14838  928 0.6843932 0.138396866  fv Log-Normal   Cox, Log-Normal    FALSE #> 14854  929 0.7647168 0.139036563  fv Log-Normal   Cox, Log-Normal    FALSE #> 14870  930 0.5777332 0.125461849  fv Log-Normal   Cox, Log-Normal    FALSE #> 14886  931 0.8122488 0.151665716  fv Log-Normal   Cox, Log-Normal    FALSE #> 14902  932 0.5420925 0.116762834  fv Log-Normal   Cox, Log-Normal    FALSE #> 14918  933 0.5739756 0.094085379  fv Log-Normal   Cox, Log-Normal    FALSE #> 14934  934 0.6826506 0.151986119  fv Log-Normal   Cox, Log-Normal    FALSE #> 14950  935 0.8998188 0.151748807  fv Log-Normal   Cox, Log-Normal    FALSE #> 14966  936 0.6997538 0.130621651  fv Log-Normal   Cox, Log-Normal    FALSE #> 14982  937 0.8472782 0.151815981  fv Log-Normal   Cox, Log-Normal    FALSE #> 14998  938 0.9004974 0.178529342  fv Log-Normal   Cox, Log-Normal    FALSE #> 15014  939 0.5682556 0.086970214  fv Log-Normal   Cox, Log-Normal    FALSE #> 15030  940 0.8662010 0.228227941  fv Log-Normal   Cox, Log-Normal    FALSE #> 15046  941 0.4726126 0.093706557  fv Log-Normal   Cox, Log-Normal    FALSE #> 15062  942 0.8714100 0.165388066  fv Log-Normal   Cox, Log-Normal    FALSE #> 15078  943 0.5203635 0.076183783  fv Log-Normal   Cox, Log-Normal    FALSE #> 15094  944 0.6583700 0.114715236  fv Log-Normal   Cox, Log-Normal    FALSE #> 15110  945 1.0014192 0.198006785  fv Log-Normal   Cox, Log-Normal    FALSE #> 15126  946 0.8283976 0.138699106  fv Log-Normal   Cox, Log-Normal    FALSE #> 15142  947 0.8336294 0.130080513  fv Log-Normal   Cox, Log-Normal    FALSE #> 15158  948 0.4624278 0.106368903  fv Log-Normal   Cox, Log-Normal    FALSE #> 15174  949 0.7755816 0.201619990  fv Log-Normal   Cox, Log-Normal    FALSE #> 15190  950 0.7749094 0.131061734  fv Log-Normal   Cox, Log-Normal    FALSE #> 15206  951 0.5867880 0.126974333  fv Log-Normal   Cox, Log-Normal    FALSE #> 15222  952 0.6279933 0.113401628  fv Log-Normal   Cox, Log-Normal    FALSE #> 15238  953 0.6028978 0.127851761  fv Log-Normal   Cox, Log-Normal    FALSE #> 15254  954 0.8198247 0.196525947  fv Log-Normal   Cox, Log-Normal    FALSE #> 15270  955 0.7011257 0.118020695  fv Log-Normal   Cox, Log-Normal    FALSE #> 15286  956 0.8909384 0.147092482  fv Log-Normal   Cox, Log-Normal    FALSE #> 15302  957 0.6256487 0.123780844  fv Log-Normal   Cox, Log-Normal    FALSE #> 15318  958 0.6012760 0.127411782  fv Log-Normal   Cox, Log-Normal    FALSE #> 15334  959 0.6842127 0.110349251  fv Log-Normal   Cox, Log-Normal    FALSE #> 15350  960 0.5962401 0.132639556  fv Log-Normal   Cox, Log-Normal    FALSE #> 15366  961 0.8256761 0.134731038  fv Log-Normal   Cox, Log-Normal    FALSE #> 15382  962 0.8480599 0.146238080  fv Log-Normal   Cox, Log-Normal    FALSE #> 15398  963 0.8964273 0.190800209  fv Log-Normal   Cox, Log-Normal    FALSE #> 15414  964 0.6844403 0.155462521  fv Log-Normal   Cox, Log-Normal    FALSE #> 15430  965 0.5646155 0.099615793  fv Log-Normal   Cox, Log-Normal    FALSE #> 15446  966 1.0564302 0.173266059  fv Log-Normal   Cox, Log-Normal    FALSE #> 15462  967 0.8965299 0.184549026  fv Log-Normal   Cox, Log-Normal    FALSE #> 15478  968 0.8387679 0.191014624  fv Log-Normal   Cox, Log-Normal    FALSE #> 15494  969 1.0086294 0.181030289  fv Log-Normal   Cox, Log-Normal    FALSE #> 15510  970 0.7743469 0.160146415  fv Log-Normal   Cox, Log-Normal    FALSE #> 15526  971 0.9588093 0.163447254  fv Log-Normal   Cox, Log-Normal    FALSE #> 15542  972 0.6142044 0.129972343  fv Log-Normal   Cox, Log-Normal    FALSE #> 15558  973 0.9177821 0.145918328  fv Log-Normal   Cox, Log-Normal    FALSE #> 15574  974 0.9095060 0.166708944  fv Log-Normal   Cox, Log-Normal    FALSE #> 15590  975 1.0452709 0.179306204  fv Log-Normal   Cox, Log-Normal    FALSE #> 15606  976 0.8166536 0.248030345  fv Log-Normal   Cox, Log-Normal     TRUE #> 15622  977 1.1346207 0.218925064  fv Log-Normal   Cox, Log-Normal     TRUE #> 15638  978 0.8376048 0.216970640  fv Log-Normal   Cox, Log-Normal    FALSE #> 15654  979 0.6250216 0.119316195  fv Log-Normal   Cox, Log-Normal    FALSE #> 15670  980 0.8403925 0.203135178  fv Log-Normal   Cox, Log-Normal    FALSE #> 15686  981 0.6682226 0.111181799  fv Log-Normal   Cox, Log-Normal    FALSE #> 15702  982 0.7057857 0.165757380  fv Log-Normal   Cox, Log-Normal    FALSE #> 15718  983 0.7389994 0.128759268  fv Log-Normal   Cox, Log-Normal    FALSE #> 15734  984 0.6410471 0.118385691  fv Log-Normal   Cox, Log-Normal    FALSE #> 15750  985 0.8274032 0.154219628  fv Log-Normal   Cox, Log-Normal    FALSE #> 15766  986 0.7677255 0.160069092  fv Log-Normal   Cox, Log-Normal    FALSE #> 15782  987 0.6687190 0.167108475  fv Log-Normal   Cox, Log-Normal    FALSE #> 15798  988 0.8994325 0.141177294  fv Log-Normal   Cox, Log-Normal    FALSE #> 15814  989 0.9739533 0.164384471  fv Log-Normal   Cox, Log-Normal    FALSE #> 15830  990 0.7007834 0.125967616  fv Log-Normal   Cox, Log-Normal    FALSE #> 15846  991 0.7971769 0.144583688  fv Log-Normal   Cox, Log-Normal    FALSE #> 15862  992 0.7144825 0.127981863  fv Log-Normal   Cox, Log-Normal    FALSE #> 15878  993 0.7552077 0.121304392  fv Log-Normal   Cox, Log-Normal    FALSE #> 15894  994 0.6920912 0.164611440  fv Log-Normal   Cox, Log-Normal    FALSE #> 15910  995 0.6370552 0.159854672  fv Log-Normal   Cox, Log-Normal    FALSE #> 15926  996 0.7158013 0.157550693  fv Log-Normal   Cox, Log-Normal    FALSE #> 15942  997 0.7112983 0.119441114  fv Log-Normal   Cox, Log-Normal    FALSE #> 15958  998 0.6493443 0.159161298  fv Log-Normal   Cox, Log-Normal    FALSE #> 15974  999 0.8004319 0.155806429  fv Log-Normal   Cox, Log-Normal    FALSE #> 15990 1000 0.7192738 0.144032838  fv Log-Normal   Cox, Log-Normal    FALSE #> 7        1 0.6405455 0.122690524  fv Log-Normal      RP(P), Gamma    FALSE #> 23       2 0.6040462 0.117656180  fv Log-Normal      RP(P), Gamma    FALSE #> 39       3 0.8022026 0.152352601  fv Log-Normal      RP(P), Gamma    FALSE #> 55       4 0.5259592 0.103211324  fv Log-Normal      RP(P), Gamma    FALSE #> 71       5 0.7983299 0.149019874  fv Log-Normal      RP(P), Gamma    FALSE #> 87       6 0.6887647 0.130581125  fv Log-Normal      RP(P), Gamma    FALSE #> 103      7 0.5143373 0.100826891  fv Log-Normal      RP(P), Gamma    FALSE #> 119      8 0.7636843 0.144723641  fv Log-Normal      RP(P), Gamma    FALSE #> 135      9 0.6642983 0.127490449  fv Log-Normal      RP(P), Gamma    FALSE #> 151     10 0.8292666 0.155612348  fv Log-Normal      RP(P), Gamma    FALSE #> 167     11 0.7870963 0.147766260  fv Log-Normal      RP(P), Gamma    FALSE #> 183     12 0.5128538 0.101130755  fv Log-Normal      RP(P), Gamma    FALSE #> 199     13 0.7531485 0.143377407  fv Log-Normal      RP(P), Gamma    FALSE #> 215     14 0.6331756 0.120852213  fv Log-Normal      RP(P), Gamma    FALSE #> 231     15 0.6426603 0.123809994  fv Log-Normal      RP(P), Gamma    FALSE #> 247     16 0.5322474 0.105162595  fv Log-Normal      RP(P), Gamma    FALSE #> 263     17 0.6467134 0.126503719  fv Log-Normal      RP(P), Gamma    FALSE #> 279     18 0.6943998 0.131886091  fv Log-Normal      RP(P), Gamma    FALSE #> 295     19 0.7899824 0.147933146  fv Log-Normal      RP(P), Gamma    FALSE #> 311     20 0.5484487 0.107786986  fv Log-Normal      RP(P), Gamma    FALSE #> 327     21 0.6161933 0.119855712  fv Log-Normal      RP(P), Gamma    FALSE #> 343     22 0.5040710 0.098879998  fv Log-Normal      RP(P), Gamma    FALSE #> 359     23 0.8877674 0.167618206  fv Log-Normal      RP(P), Gamma    FALSE #> 375     24 0.6757630 0.128886073  fv Log-Normal      RP(P), Gamma    FALSE #> 391     25 0.5307117 0.103738093  fv Log-Normal      RP(P), Gamma    FALSE #> 407     26 0.6429191 0.123298527  fv Log-Normal      RP(P), Gamma    FALSE #> 423     27 0.4611677 0.092589138  fv Log-Normal      RP(P), Gamma    FALSE #> 439     28 0.6456617 0.124703184  fv Log-Normal      RP(P), Gamma    FALSE #> 455     29 0.9326416 0.171576792  fv Log-Normal      RP(P), Gamma    FALSE #> 471     30 0.5693105 0.110689741  fv Log-Normal      RP(P), Gamma    FALSE #> 487     31 0.5125629 0.101588852  fv Log-Normal      RP(P), Gamma    FALSE #> 503     32 0.5118841 0.101147723  fv Log-Normal      RP(P), Gamma    FALSE #> 519     33 0.6618378 0.126871990  fv Log-Normal      RP(P), Gamma    FALSE #> 535     34 0.8797795 0.165259342  fv Log-Normal      RP(P), Gamma    FALSE #> 551     35 0.5063559 0.102207355  fv Log-Normal      RP(P), Gamma    FALSE #> 567     36 0.4635876 0.092513305  fv Log-Normal      RP(P), Gamma    FALSE #> 583     37 0.6395122 0.123631418  fv Log-Normal      RP(P), Gamma    FALSE #> 599     38 0.6075237 0.118657265  fv Log-Normal      RP(P), Gamma    FALSE #> 615     39 0.7176400 0.137133349  fv Log-Normal      RP(P), Gamma    FALSE #> 631     40 0.5781112 0.116042341  fv Log-Normal      RP(P), Gamma    FALSE #> 647     41 0.6542709 0.124754965  fv Log-Normal      RP(P), Gamma    FALSE #> 663     42 0.5154684 0.101882146  fv Log-Normal      RP(P), Gamma    FALSE #> 679     43 0.4670205 0.092725837  fv Log-Normal      RP(P), Gamma    FALSE #> 695     44 0.6203867 0.118800155  fv Log-Normal      RP(P), Gamma    FALSE #> 711     45 0.5393777 0.105195798  fv Log-Normal      RP(P), Gamma    FALSE #> 727     46 0.3151313 0.065214531  fv Log-Normal      RP(P), Gamma    FALSE #> 743     47 0.7594989 0.142998177  fv Log-Normal      RP(P), Gamma    FALSE #> 759     48 0.8276292 0.156727119  fv Log-Normal      RP(P), Gamma    FALSE #> 775     49 0.8478641 0.158244438  fv Log-Normal      RP(P), Gamma    FALSE #> 791     50 0.5475928 0.107331065  fv Log-Normal      RP(P), Gamma    FALSE #> 807     51 0.6844050 0.129691061  fv Log-Normal      RP(P), Gamma    FALSE #> 823     52 0.4849833 0.096565419  fv Log-Normal      RP(P), Gamma    FALSE #> 839     53 0.8506738 0.158927483  fv Log-Normal      RP(P), Gamma    FALSE #> 855     54 0.6258808 0.120694285  fv Log-Normal      RP(P), Gamma    FALSE #> 871     55 0.8334571 0.156035069  fv Log-Normal      RP(P), Gamma    FALSE #> 887     56 0.7883870 0.150629653  fv Log-Normal      RP(P), Gamma    FALSE #> 903     57 0.8198680 0.154099203  fv Log-Normal      RP(P), Gamma    FALSE #> 919     58 0.7046033 0.135489320  fv Log-Normal      RP(P), Gamma    FALSE #> 935     59 0.6362143 0.122087484  fv Log-Normal      RP(P), Gamma    FALSE #> 951     60 0.8194371 0.153940246  fv Log-Normal      RP(P), Gamma    FALSE #> 967     61 0.7165910 0.137115513  fv Log-Normal      RP(P), Gamma    FALSE #> 983     62 0.6072289 0.118534620  fv Log-Normal      RP(P), Gamma    FALSE #> 999     63 0.7813425 0.147824198  fv Log-Normal      RP(P), Gamma    FALSE #> 1015    64 0.6962526 0.132885352  fv Log-Normal      RP(P), Gamma    FALSE #> 1031    65 0.9532066 0.179257953  fv Log-Normal      RP(P), Gamma    FALSE #> 1047    66 0.5446300 0.106323243  fv Log-Normal      RP(P), Gamma    FALSE #> 1063    67 0.5523958 0.108439867  fv Log-Normal      RP(P), Gamma    FALSE #> 1079    68 0.4935455 0.098591049  fv Log-Normal      RP(P), Gamma    FALSE #> 1095    69 0.7293272 0.138575438  fv Log-Normal      RP(P), Gamma    FALSE #> 1111    70 0.6433089 0.123090851  fv Log-Normal      RP(P), Gamma    FALSE #> 1127    71 0.8654650 0.161985674  fv Log-Normal      RP(P), Gamma    FALSE #> 1143    72 0.5596582 0.109600090  fv Log-Normal      RP(P), Gamma    FALSE #> 1159    73 0.6080334 0.117616590  fv Log-Normal      RP(P), Gamma    FALSE #> 1175    74 0.4192212 0.085190539  fv Log-Normal      RP(P), Gamma    FALSE #> 1191    75 0.6459502 0.123937508  fv Log-Normal      RP(P), Gamma    FALSE #> 1207    76 0.5317111 0.103568281  fv Log-Normal      RP(P), Gamma    FALSE #> 1223    77 0.8201123 0.155989547  fv Log-Normal      RP(P), Gamma    FALSE #> 1239    78 0.7324703 0.140075929  fv Log-Normal      RP(P), Gamma    FALSE #> 1255    79 0.9938648 0.182439175  fv Log-Normal      RP(P), Gamma     TRUE #> 1271    80 0.5406339 0.105944290  fv Log-Normal      RP(P), Gamma    FALSE #> 1287    81 0.8194269 0.152455464  fv Log-Normal      RP(P), Gamma    FALSE #> 1303    82 0.6005756 0.115909588  fv Log-Normal      RP(P), Gamma    FALSE #> 1319    83 0.6898550 0.131609094  fv Log-Normal      RP(P), Gamma    FALSE #> 1335    84 0.5667630 0.110642783  fv Log-Normal      RP(P), Gamma    FALSE #> 1351    85 0.6773712 0.132784297  fv Log-Normal      RP(P), Gamma    FALSE #> 1367    86 0.5699243 0.113421403  fv Log-Normal      RP(P), Gamma    FALSE #> 1383    87 0.6537014 0.126044444  fv Log-Normal      RP(P), Gamma    FALSE #> 1399    88 0.6600437 0.127234347  fv Log-Normal      RP(P), Gamma    FALSE #> 1415    89 0.9099395 0.169648022  fv Log-Normal      RP(P), Gamma    FALSE #> 1431    90 0.7941829 0.150612563  fv Log-Normal      RP(P), Gamma    FALSE #> 1447    91 0.7956442 0.149468843  fv Log-Normal      RP(P), Gamma    FALSE #> 1463    92 0.7891605 0.150545862  fv Log-Normal      RP(P), Gamma    FALSE #> 1479    93 0.5507555 0.107524863  fv Log-Normal      RP(P), Gamma    FALSE #> 1495    94 0.6893063 0.131615461  fv Log-Normal      RP(P), Gamma    FALSE #> 1511    95 0.6382982 0.123572285  fv Log-Normal      RP(P), Gamma    FALSE #> 1527    96 0.5046216 0.099786695  fv Log-Normal      RP(P), Gamma    FALSE #> 1543    97 0.7335341 0.140274698  fv Log-Normal      RP(P), Gamma    FALSE #> 1559    98 0.4142127 0.083239347  fv Log-Normal      RP(P), Gamma    FALSE #> 1575    99 0.6777154 0.128918607  fv Log-Normal      RP(P), Gamma    FALSE #> 1591   100 0.5891772 0.114720160  fv Log-Normal      RP(P), Gamma    FALSE #> 1607   101 0.5518648 0.107174335  fv Log-Normal      RP(P), Gamma    FALSE #> 1623   102 0.4756834 0.094711857  fv Log-Normal      RP(P), Gamma    FALSE #> 1639   103 0.7016967 0.133963829  fv Log-Normal      RP(P), Gamma    FALSE #> 1655   104 0.7084303 0.137263107  fv Log-Normal      RP(P), Gamma    FALSE #> 1671   105 0.5064685 0.102906578  fv Log-Normal      RP(P), Gamma    FALSE #> 1687   106 0.5857525 0.114320345  fv Log-Normal      RP(P), Gamma    FALSE #> 1703   107 0.6995063 0.132392724  fv Log-Normal      RP(P), Gamma    FALSE #> 1719   108 0.6165509 0.119326267  fv Log-Normal      RP(P), Gamma    FALSE #> 1735   109 0.8984590 0.168924157  fv Log-Normal      RP(P), Gamma    FALSE #> 1751   110 0.7971634 0.150429620  fv Log-Normal      RP(P), Gamma    FALSE #> 1767   111 0.6308884 0.123949462  fv Log-Normal      RP(P), Gamma    FALSE #> 1783   112 0.6636078 0.127316904  fv Log-Normal      RP(P), Gamma    FALSE #> 1799   113 0.7259975 0.136892504  fv Log-Normal      RP(P), Gamma    FALSE #> 1815   114 0.6262837 0.122125778  fv Log-Normal      RP(P), Gamma    FALSE #> 1831   115 0.6652682 0.127308897  fv Log-Normal      RP(P), Gamma    FALSE #> 1847   116 0.6770393 0.129129051  fv Log-Normal      RP(P), Gamma    FALSE #> 1863   117 0.7575098 0.143016176  fv Log-Normal      RP(P), Gamma    FALSE #> 1879   118 0.5399997 0.105372939  fv Log-Normal      RP(P), Gamma    FALSE #> 1895   119 0.5340591 0.104867540  fv Log-Normal      RP(P), Gamma    FALSE #> 1911   120 0.7487613 0.142422272  fv Log-Normal      RP(P), Gamma    FALSE #> 1927   121 0.6742231 0.129655167  fv Log-Normal      RP(P), Gamma    FALSE #> 1943   122 0.5368862 0.108010594  fv Log-Normal      RP(P), Gamma    FALSE #> 1959   123 0.4854876 0.096157026  fv Log-Normal      RP(P), Gamma    FALSE #> 1975   124 0.5249067 0.104010179  fv Log-Normal      RP(P), Gamma    FALSE #> 1991   125 0.4728895 0.093518687  fv Log-Normal      RP(P), Gamma    FALSE #> 2007   126 0.9488240 0.174441002  fv Log-Normal      RP(P), Gamma    FALSE #> 2023   127 0.4311185 0.086119704  fv Log-Normal      RP(P), Gamma    FALSE #> 2039   128 0.4413847 0.087730859  fv Log-Normal      RP(P), Gamma    FALSE #> 2055   129        NA          NA  fv Log-Normal      RP(P), Gamma       NA #> 2071   130 0.5336320 0.106231024  fv Log-Normal      RP(P), Gamma    FALSE #> 2087   131 0.5858983 0.113618046  fv Log-Normal      RP(P), Gamma    FALSE #> 2103   132 0.6742043 0.128792567  fv Log-Normal      RP(P), Gamma    FALSE #> 2119   133 0.8441107 0.157692189  fv Log-Normal      RP(P), Gamma    FALSE #> 2135   134 0.8722116 0.161293518  fv Log-Normal      RP(P), Gamma    FALSE #> 2151   135 0.6602743 0.128176844  fv Log-Normal      RP(P), Gamma    FALSE #> 2167   136 0.5612475 0.112751238  fv Log-Normal      RP(P), Gamma    FALSE #> 2183   137 0.4623204 0.092357534  fv Log-Normal      RP(P), Gamma    FALSE #> 2199   138 0.4908476 0.097235287  fv Log-Normal      RP(P), Gamma    FALSE #> 2215   139 0.6199716 0.119201745  fv Log-Normal      RP(P), Gamma    FALSE #> 2231   140 0.6891782 0.130965978  fv Log-Normal      RP(P), Gamma    FALSE #> 2247   141 0.4059617 0.082546224  fv Log-Normal      RP(P), Gamma    FALSE #> 2263   142 0.4534912 0.090599077  fv Log-Normal      RP(P), Gamma    FALSE #> 2279   143 0.5205738 0.101978989  fv Log-Normal      RP(P), Gamma    FALSE #> 2295   144 0.6658738 0.130280150  fv Log-Normal      RP(P), Gamma    FALSE #> 2311   145 0.4853461 0.095873172  fv Log-Normal      RP(P), Gamma    FALSE #> 2327   146 0.6720809 0.128706896  fv Log-Normal      RP(P), Gamma    FALSE #> 2343   147 0.6507118 0.128489909  fv Log-Normal      RP(P), Gamma    FALSE #> 2359   148 0.5095945 0.100822955  fv Log-Normal      RP(P), Gamma    FALSE #> 2375   149 0.3835714 0.078576851  fv Log-Normal      RP(P), Gamma    FALSE #> 2391   150 0.5016718 0.099016609  fv Log-Normal      RP(P), Gamma    FALSE #> 2407   151 0.8315877 0.156138668  fv Log-Normal      RP(P), Gamma    FALSE #> 2423   152 0.6110434 0.117965209  fv Log-Normal      RP(P), Gamma    FALSE #> 2439   153 0.7767963 0.147635467  fv Log-Normal      RP(P), Gamma    FALSE #> 2455   154 0.6464367 0.123675217  fv Log-Normal      RP(P), Gamma    FALSE #> 2471   155 0.9166992 0.171012178  fv Log-Normal      RP(P), Gamma    FALSE #> 2487   156 0.5371060 0.105038383  fv Log-Normal      RP(P), Gamma    FALSE #> 2503   157 0.5603420 0.109709264  fv Log-Normal      RP(P), Gamma    FALSE #> 2519   158 0.6131854 0.119373111  fv Log-Normal      RP(P), Gamma    FALSE #> 2535   159 0.6606685 0.127011784  fv Log-Normal      RP(P), Gamma    FALSE #> 2551   160 0.6082429 0.116880821  fv Log-Normal      RP(P), Gamma    FALSE #> 2567   161 0.8477261 0.159265826  fv Log-Normal      RP(P), Gamma    FALSE #> 2583   162 0.8610655 0.160638530  fv Log-Normal      RP(P), Gamma    FALSE #> 2599   163 0.5255327 0.102820821  fv Log-Normal      RP(P), Gamma    FALSE #> 2615   164 0.6363234 0.123177257  fv Log-Normal      RP(P), Gamma    FALSE #> 2631   165 0.4847113 0.095621852  fv Log-Normal      RP(P), Gamma    FALSE #> 2647   166 0.4273386 0.086136647  fv Log-Normal      RP(P), Gamma    FALSE #> 2663   167 0.6483222 0.124315665  fv Log-Normal      RP(P), Gamma    FALSE #> 2679   168 0.7464834 0.140802165  fv Log-Normal      RP(P), Gamma    FALSE #> 2695   169 0.6310328 0.122313242  fv Log-Normal      RP(P), Gamma    FALSE #> 2711   170 0.6614880 0.126258548  fv Log-Normal      RP(P), Gamma    FALSE #> 2727   171 0.7041851 0.133318185  fv Log-Normal      RP(P), Gamma    FALSE #> 2743   172 0.6398290 0.122342065  fv Log-Normal      RP(P), Gamma    FALSE #> 2759   173 0.7006805 0.134276835  fv Log-Normal      RP(P), Gamma    FALSE #> 2775   174 0.5291788 0.103456703  fv Log-Normal      RP(P), Gamma    FALSE #> 2791   175 0.7108273 0.135795471  fv Log-Normal      RP(P), Gamma    FALSE #> 2807   176 0.8661291 0.161557935  fv Log-Normal      RP(P), Gamma    FALSE #> 2823   177 0.6642310 0.126471594  fv Log-Normal      RP(P), Gamma    FALSE #> 2839   178 0.4796659 0.095097392  fv Log-Normal      RP(P), Gamma    FALSE #> 2855   179 0.7824077 0.146493201  fv Log-Normal      RP(P), Gamma    FALSE #> 2871   180 0.4968833 0.098150177  fv Log-Normal      RP(P), Gamma    FALSE #> 2887   181 0.6323696 0.121435745  fv Log-Normal      RP(P), Gamma    FALSE #> 2903   182 1.0216845 0.186453940  fv Log-Normal      RP(P), Gamma     TRUE #> 2919   183 0.6566254 0.127917698  fv Log-Normal      RP(P), Gamma    FALSE #> 2935   184 0.8214407 0.153256632  fv Log-Normal      RP(P), Gamma    FALSE #> 2951   185 0.7216302 0.137253976  fv Log-Normal      RP(P), Gamma    FALSE #> 2967   186 0.6969526 0.133055560  fv Log-Normal      RP(P), Gamma    FALSE #> 2983   187 0.6428409 0.124161801  fv Log-Normal      RP(P), Gamma    FALSE #> 2999   188 0.8407790 0.159841769  fv Log-Normal      RP(P), Gamma    FALSE #> 3015   189 0.6289527 0.121021866  fv Log-Normal      RP(P), Gamma    FALSE #> 3031   190 0.6326976 0.120915735  fv Log-Normal      RP(P), Gamma    FALSE #> 3047   191 0.6249393 0.120592489  fv Log-Normal      RP(P), Gamma    FALSE #> 3063   192 0.6598537 0.128466551  fv Log-Normal      RP(P), Gamma    FALSE #> 3079   193 0.6102061 0.117379674  fv Log-Normal      RP(P), Gamma    FALSE #> 3095   194 0.8914916 0.165672989  fv Log-Normal      RP(P), Gamma    FALSE #> 3111   195 0.5772301 0.113864924  fv Log-Normal      RP(P), Gamma    FALSE #> 3127   196 0.5383756 0.105235105  fv Log-Normal      RP(P), Gamma    FALSE #> 3143   197 0.6041119 0.116883514  fv Log-Normal      RP(P), Gamma    FALSE #> 3159   198 0.7005811 0.133773352  fv Log-Normal      RP(P), Gamma    FALSE #> 3175   199 0.4750485 0.094149962  fv Log-Normal      RP(P), Gamma    FALSE #> 3191   200 0.5370248 0.105409839  fv Log-Normal      RP(P), Gamma    FALSE #> 3207   201 0.7905997 0.148883784  fv Log-Normal      RP(P), Gamma    FALSE #> 3223   202 0.6263271 0.120314826  fv Log-Normal      RP(P), Gamma    FALSE #> 3239   203 0.5566798 0.108533443  fv Log-Normal      RP(P), Gamma    FALSE #> 3255   204 0.5878622 0.114038141  fv Log-Normal      RP(P), Gamma    FALSE #> 3271   205 0.5479470 0.106767841  fv Log-Normal      RP(P), Gamma    FALSE #> 3287   206 0.6715801 0.128670374  fv Log-Normal      RP(P), Gamma    FALSE #> 3303   207 0.8542152 0.163744329  fv Log-Normal      RP(P), Gamma    FALSE #> 3319   208 0.8157609 0.151809241  fv Log-Normal      RP(P), Gamma    FALSE #> 3335   209 0.5728611 0.111944591  fv Log-Normal      RP(P), Gamma    FALSE #> 3351   210 0.5943906 0.115022190  fv Log-Normal      RP(P), Gamma    FALSE #> 3367   211 0.7064552 0.134382106  fv Log-Normal      RP(P), Gamma    FALSE #> 3383   212 0.6689386 0.127628218  fv Log-Normal      RP(P), Gamma    FALSE #> 3399   213 0.5688727 0.111551542  fv Log-Normal      RP(P), Gamma    FALSE #> 3415   214 0.5600375 0.108774437  fv Log-Normal      RP(P), Gamma    FALSE #> 3431   215 0.6737893 0.131910998  fv Log-Normal      RP(P), Gamma    FALSE #> 3447   216 0.8405789 0.157041468  fv Log-Normal      RP(P), Gamma    FALSE #> 3463   217 0.6564690 0.126109444  fv Log-Normal      RP(P), Gamma    FALSE #> 3479   218 0.6246779 0.123646184  fv Log-Normal      RP(P), Gamma    FALSE #> 3495   219 0.8259887 0.156771669  fv Log-Normal      RP(P), Gamma    FALSE #> 3511   220 0.7024489 0.133066264  fv Log-Normal      RP(P), Gamma    FALSE #> 3527   221 0.5596475 0.109357114  fv Log-Normal      RP(P), Gamma    FALSE #> 3543   222 0.3319187 0.068263082  fv Log-Normal      RP(P), Gamma    FALSE #> 3559   223 0.4898847 0.096767377  fv Log-Normal      RP(P), Gamma    FALSE #> 3575   224 0.4907177 0.096440093  fv Log-Normal      RP(P), Gamma    FALSE #> 3591   225 0.7652595 0.144819052  fv Log-Normal      RP(P), Gamma    FALSE #> 3607   226 0.8552764 0.158589758  fv Log-Normal      RP(P), Gamma    FALSE #> 3623   227 0.6388617 0.122214127  fv Log-Normal      RP(P), Gamma    FALSE #> 3639   228 0.7198722 0.136042538  fv Log-Normal      RP(P), Gamma    FALSE #> 3655   229 0.3795975 0.077804857  fv Log-Normal      RP(P), Gamma    FALSE #> 3671   230 0.5809617 0.113716968  fv Log-Normal      RP(P), Gamma    FALSE #> 3687   231 0.5863665 0.113707295  fv Log-Normal      RP(P), Gamma    FALSE #> 3703   232 0.8032751 0.151280169  fv Log-Normal      RP(P), Gamma    FALSE #> 3719   233 0.8531541 0.160153943  fv Log-Normal      RP(P), Gamma    FALSE #> 3735   234 0.8495275 0.159594009  fv Log-Normal      RP(P), Gamma    FALSE #> 3751   235 0.4897131 0.096464651  fv Log-Normal      RP(P), Gamma    FALSE #> 3767   236 0.5762813 0.112345236  fv Log-Normal      RP(P), Gamma    FALSE #> 3783   237 0.5286123 0.104396860  fv Log-Normal      RP(P), Gamma    FALSE #> 3799   238 0.7811056 0.148031077  fv Log-Normal      RP(P), Gamma    FALSE #> 3815   239 0.8198879 0.155297026  fv Log-Normal      RP(P), Gamma    FALSE #> 3831   240 0.5414650 0.105722595  fv Log-Normal      RP(P), Gamma    FALSE #> 3847   241 0.6511463 0.125298011  fv Log-Normal      RP(P), Gamma    FALSE #> 3863   242 0.4836988 0.095465475  fv Log-Normal      RP(P), Gamma    FALSE #> 3879   243 0.6196244 0.120104981  fv Log-Normal      RP(P), Gamma    FALSE #> 3895   244 0.5113606 0.100849696  fv Log-Normal      RP(P), Gamma    FALSE #> 3911   245 0.4278909 0.085833193  fv Log-Normal      RP(P), Gamma    FALSE #> 3927   246 0.7643256 0.148247377  fv Log-Normal      RP(P), Gamma    FALSE #> 3943   247 0.6396835 0.124646729  fv Log-Normal      RP(P), Gamma    FALSE #> 3959   248 0.8887262 0.165189703  fv Log-Normal      RP(P), Gamma    FALSE #> 3975   249 0.5107049 0.100257685  fv Log-Normal      RP(P), Gamma    FALSE #> 3991   250 0.7077054 0.135338727  fv Log-Normal      RP(P), Gamma    FALSE #> 4007   251 0.5668351 0.110779312  fv Log-Normal      RP(P), Gamma    FALSE #> 4023   252 0.4787966 0.096884322  fv Log-Normal      RP(P), Gamma    FALSE #> 4039   253 0.7726230 0.145916040  fv Log-Normal      RP(P), Gamma    FALSE #> 4055   254 0.6804182 0.131478555  fv Log-Normal      RP(P), Gamma    FALSE #> 4071   255 0.8644481 0.162650447  fv Log-Normal      RP(P), Gamma    FALSE #> 4087   256 0.7870450 0.149599723  fv Log-Normal      RP(P), Gamma    FALSE #> 4103   257 0.7192110 0.135991127  fv Log-Normal      RP(P), Gamma    FALSE #> 4119   258 0.4068613 0.083073788  fv Log-Normal      RP(P), Gamma    FALSE #> 4135   259 0.5817998 0.112751709  fv Log-Normal      RP(P), Gamma    FALSE #> 4151   260 0.5469431 0.106420507  fv Log-Normal      RP(P), Gamma    FALSE #> 4167   261 0.7080536 0.133881161  fv Log-Normal      RP(P), Gamma    FALSE #> 4183   262 0.5942497 0.115095777  fv Log-Normal      RP(P), Gamma    FALSE #> 4199   263 0.7020528 0.133587665  fv Log-Normal      RP(P), Gamma    FALSE #> 4215   264 0.7159177 0.137273577  fv Log-Normal      RP(P), Gamma    FALSE #> 4231   265 0.5643244 0.109794624  fv Log-Normal      RP(P), Gamma    FALSE #> 4247   266 0.5478052 0.106965318  fv Log-Normal      RP(P), Gamma    FALSE #> 4263   267 0.5885489 0.115653369  fv Log-Normal      RP(P), Gamma    FALSE #> 4279   268 0.8693749 0.161917429  fv Log-Normal      RP(P), Gamma    FALSE #> 4295   269 0.5582825 0.109290397  fv Log-Normal      RP(P), Gamma    FALSE #> 4311   270 0.5684455 0.110779055  fv Log-Normal      RP(P), Gamma    FALSE #> 4327   271 0.7749650 0.149141098  fv Log-Normal      RP(P), Gamma    FALSE #> 4343   272 0.5156209 0.101591602  fv Log-Normal      RP(P), Gamma    FALSE #> 4359   273 0.6159012 0.118371233  fv Log-Normal      RP(P), Gamma    FALSE #> 4375   274 0.7947242 0.153820357  fv Log-Normal      RP(P), Gamma    FALSE #> 4391   275 0.6368109 0.127096784  fv Log-Normal      RP(P), Gamma    FALSE #> 4407   276 0.6711689 0.127922100  fv Log-Normal      RP(P), Gamma    FALSE #> 4423   277 0.6940475 0.133116364  fv Log-Normal      RP(P), Gamma    FALSE #> 4439   278 0.5152790 0.101199568  fv Log-Normal      RP(P), Gamma    FALSE #> 4455   279 0.8113280 0.153290256  fv Log-Normal      RP(P), Gamma    FALSE #> 4471   280 0.7000853 0.133350179  fv Log-Normal      RP(P), Gamma    FALSE #> 4487   281 0.6962477 0.133227021  fv Log-Normal      RP(P), Gamma    FALSE #> 4503   282 0.5426193 0.105700649  fv Log-Normal      RP(P), Gamma    FALSE #> 4519   283 0.6864975 0.130397237  fv Log-Normal      RP(P), Gamma    FALSE #> 4535   284 0.5396176 0.105832850  fv Log-Normal      RP(P), Gamma    FALSE #> 4551   285 0.5913837 0.114382562  fv Log-Normal      RP(P), Gamma    FALSE #> 4567   286 0.6302251 0.122112449  fv Log-Normal      RP(P), Gamma    FALSE #> 4583   287 0.5331961 0.104369454  fv Log-Normal      RP(P), Gamma    FALSE #> 4599   288 0.5392503 0.105693369  fv Log-Normal      RP(P), Gamma    FALSE #> 4615   289 0.6092166 0.117897281  fv Log-Normal      RP(P), Gamma    FALSE #> 4631   290 0.6196235 0.119781773  fv Log-Normal      RP(P), Gamma    FALSE #> 4647   291 0.6359919 0.121775820  fv Log-Normal      RP(P), Gamma    FALSE #> 4663   292 0.5575946 0.109509524  fv Log-Normal      RP(P), Gamma    FALSE #> 4679   293 0.5651291 0.109070835  fv Log-Normal      RP(P), Gamma    FALSE #> 4695   294 0.6422035 0.123311702  fv Log-Normal      RP(P), Gamma    FALSE #> 4711   295 0.5802791 0.113172050  fv Log-Normal      RP(P), Gamma    FALSE #> 4727   296 0.7555790 0.143540463  fv Log-Normal      RP(P), Gamma    FALSE #> 4743   297 0.3852702 0.078217517  fv Log-Normal      RP(P), Gamma    FALSE #> 4759   298 0.5804362 0.112370909  fv Log-Normal      RP(P), Gamma    FALSE #> 4775   299 0.7034566 0.133837283  fv Log-Normal      RP(P), Gamma    FALSE #> 4791   300 0.5792017 0.112548997  fv Log-Normal      RP(P), Gamma    FALSE #> 4807   301 0.9200582 0.170247237  fv Log-Normal      RP(P), Gamma    FALSE #> 4823   302 0.7453558 0.144203963  fv Log-Normal      RP(P), Gamma    FALSE #> 4839   303 0.5897325 0.114210118  fv Log-Normal      RP(P), Gamma    FALSE #> 4855   304 0.5895917 0.114060297  fv Log-Normal      RP(P), Gamma    FALSE #> 4871   305 0.7011073 0.133304181  fv Log-Normal      RP(P), Gamma    FALSE #> 4887   306 0.5567072 0.109075590  fv Log-Normal      RP(P), Gamma    FALSE #> 4903   307 0.5115247 0.099800267  fv Log-Normal      RP(P), Gamma    FALSE #> 4919   308 0.6127341 0.118267081  fv Log-Normal      RP(P), Gamma    FALSE #> 4935   309 0.5241423 0.102639868  fv Log-Normal      RP(P), Gamma    FALSE #> 4951   310 0.5755538 0.112432453  fv Log-Normal      RP(P), Gamma    FALSE #> 4967   311 0.7951455 0.149340322  fv Log-Normal      RP(P), Gamma    FALSE #> 4983   312 0.5859886 0.113064816  fv Log-Normal      RP(P), Gamma    FALSE #> 4999   313 0.4372528 0.087909712  fv Log-Normal      RP(P), Gamma    FALSE #> 5015   314 0.6147684 0.119382806  fv Log-Normal      RP(P), Gamma    FALSE #> 5031   315 0.5645028 0.109393669  fv Log-Normal      RP(P), Gamma    FALSE #> 5047   316 0.5565989 0.109845464  fv Log-Normal      RP(P), Gamma    FALSE #> 5063   317 0.7191520 0.135613702  fv Log-Normal      RP(P), Gamma    FALSE #> 5079   318 0.5965863 0.120080385  fv Log-Normal      RP(P), Gamma    FALSE #> 5095   319 0.6537813 0.125979738  fv Log-Normal      RP(P), Gamma    FALSE #> 5111   320 0.7201799 0.136255734  fv Log-Normal      RP(P), Gamma    FALSE #> 5127   321 0.8328070 0.157289651  fv Log-Normal      RP(P), Gamma    FALSE #> 5143   322 0.4960487 0.098036056  fv Log-Normal      RP(P), Gamma    FALSE #> 5159   323 0.6557055 0.125129845  fv Log-Normal      RP(P), Gamma    FALSE #> 5175   324 0.4850376 0.096139606  fv Log-Normal      RP(P), Gamma    FALSE #> 5191   325 0.5705067 0.111972275  fv Log-Normal      RP(P), Gamma    FALSE #> 5207   326 0.7884406 0.148717603  fv Log-Normal      RP(P), Gamma    FALSE #> 5223   327 0.4470598 0.088883562  fv Log-Normal      RP(P), Gamma    FALSE #> 5239   328 0.6211920 0.118836862  fv Log-Normal      RP(P), Gamma    FALSE #> 5255   329 0.6073953 0.118395269  fv Log-Normal      RP(P), Gamma    FALSE #> 5271   330 0.4730565 0.093665743  fv Log-Normal      RP(P), Gamma    FALSE #> 5287   331 0.7787809 0.146186396  fv Log-Normal      RP(P), Gamma    FALSE #> 5303   332 0.6139570 0.118138831  fv Log-Normal      RP(P), Gamma    FALSE #> 5319   333 0.4885412 0.097414696  fv Log-Normal      RP(P), Gamma    FALSE #> 5335   334 0.4894316 0.096621925  fv Log-Normal      RP(P), Gamma    FALSE #> 5351   335 0.5028639 0.099176225  fv Log-Normal      RP(P), Gamma    FALSE #> 5367   336 0.7814231 0.148463487  fv Log-Normal      RP(P), Gamma    FALSE #> 5383   337 0.6035500 0.116907362  fv Log-Normal      RP(P), Gamma    FALSE #> 5399   338 0.6560915 0.125409466  fv Log-Normal      RP(P), Gamma    FALSE #> 5415   339 0.5183767 0.102142302  fv Log-Normal      RP(P), Gamma    FALSE #> 5431   340 0.8199144 0.154586635  fv Log-Normal      RP(P), Gamma    FALSE #> 5447   341 0.5944860 0.117533729  fv Log-Normal      RP(P), Gamma    FALSE #> 5463   342 0.5193587 0.101756311  fv Log-Normal      RP(P), Gamma    FALSE #> 5479   343 0.5446257 0.106850374  fv Log-Normal      RP(P), Gamma    FALSE #> 5495   344 0.6177256 0.119809792  fv Log-Normal      RP(P), Gamma    FALSE #> 5511   345 0.5759749 0.111483975  fv Log-Normal      RP(P), Gamma    FALSE #> 5527   346 0.4476355 0.090001470  fv Log-Normal      RP(P), Gamma    FALSE #> 5543   347 0.5928304 0.115552336  fv Log-Normal      RP(P), Gamma    FALSE #> 5559   348 0.5431772 0.107072485  fv Log-Normal      RP(P), Gamma    FALSE #> 5575   349 0.5982843 0.115709329  fv Log-Normal      RP(P), Gamma    FALSE #> 5591   350 0.7122423 0.135849723  fv Log-Normal      RP(P), Gamma    FALSE #> 5607   351 0.5011156 0.098603090  fv Log-Normal      RP(P), Gamma    FALSE #> 5623   352 0.7612241 0.144981811  fv Log-Normal      RP(P), Gamma    FALSE #> 5639   353 0.6852220 0.132046410  fv Log-Normal      RP(P), Gamma    FALSE #> 5655   354 0.5857311 0.113477028  fv Log-Normal      RP(P), Gamma    FALSE #> 5671   355 0.6652417 0.127193917  fv Log-Normal      RP(P), Gamma    FALSE #> 5687   356 0.6173133 0.120742547  fv Log-Normal      RP(P), Gamma    FALSE #> 5703   357 0.9043420 0.173016497  fv Log-Normal      RP(P), Gamma    FALSE #> 5719   358 0.6080989 0.117536852  fv Log-Normal      RP(P), Gamma    FALSE #> 5735   359 0.4819349 0.096115857  fv Log-Normal      RP(P), Gamma    FALSE #> 5751   360 0.5666892 0.109982691  fv Log-Normal      RP(P), Gamma    FALSE #> 5767   361 0.5681239 0.110789224  fv Log-Normal      RP(P), Gamma    FALSE #> 5783   362 0.6273366 0.122363810  fv Log-Normal      RP(P), Gamma    FALSE #> 5799   363 0.5816115 0.114102264  fv Log-Normal      RP(P), Gamma    FALSE #> 5815   364 0.6876475 0.130288820  fv Log-Normal      RP(P), Gamma    FALSE #> 5831   365 0.6489056 0.124382293  fv Log-Normal      RP(P), Gamma    FALSE #> 5847   366 0.5872749 0.113916746  fv Log-Normal      RP(P), Gamma    FALSE #> 5863   367 0.7316313 0.139986854  fv Log-Normal      RP(P), Gamma    FALSE #> 5879   368 0.8058332 0.151315932  fv Log-Normal      RP(P), Gamma    FALSE #> 5895   369 0.5094609 0.100121566  fv Log-Normal      RP(P), Gamma    FALSE #> 5911   370 0.6612134 0.126708507  fv Log-Normal      RP(P), Gamma    FALSE #> 5927   371 0.6350437 0.124249605  fv Log-Normal      RP(P), Gamma    FALSE #> 5943   372 0.4578136 0.091413362  fv Log-Normal      RP(P), Gamma    FALSE #> 5959   373 0.8627763 0.160868809  fv Log-Normal      RP(P), Gamma    FALSE #> 5975   374 0.5059833 0.100171027  fv Log-Normal      RP(P), Gamma    FALSE #> 5991   375 0.6308717 0.122756047  fv Log-Normal      RP(P), Gamma    FALSE #> 6007   376 0.6040654 0.116977417  fv Log-Normal      RP(P), Gamma    FALSE #> 6023   377 0.4763770 0.094353796  fv Log-Normal      RP(P), Gamma    FALSE #> 6039   378 0.5335836 0.104644051  fv Log-Normal      RP(P), Gamma    FALSE #> 6055   379 0.4834626 0.095929962  fv Log-Normal      RP(P), Gamma    FALSE #> 6071   380 0.5706786 0.110657205  fv Log-Normal      RP(P), Gamma    FALSE #> 6087   381 0.6870494 0.130888764  fv Log-Normal      RP(P), Gamma    FALSE #> 6103   382 0.6297807 0.121858418  fv Log-Normal      RP(P), Gamma    FALSE #> 6119   383 0.6695102 0.128506247  fv Log-Normal      RP(P), Gamma    FALSE #> 6135   384 0.5836747 0.112718407  fv Log-Normal      RP(P), Gamma    FALSE #> 6151   385 0.5061154 0.100209905  fv Log-Normal      RP(P), Gamma    FALSE #> 6167   386 0.7746371 0.147352863  fv Log-Normal      RP(P), Gamma    FALSE #> 6183   387 0.5793071 0.114012787  fv Log-Normal      RP(P), Gamma    FALSE #> 6199   388 0.7006456 0.132262925  fv Log-Normal      RP(P), Gamma    FALSE #> 6215   389 0.6591775 0.125828401  fv Log-Normal      RP(P), Gamma    FALSE #> 6231   390 0.5756189 0.112118694  fv Log-Normal      RP(P), Gamma    FALSE #> 6247   391 0.7166769 0.135906531  fv Log-Normal      RP(P), Gamma    FALSE #> 6263   392 0.5582759 0.109346080  fv Log-Normal      RP(P), Gamma    FALSE #> 6279   393 0.5188225 0.102003293  fv Log-Normal      RP(P), Gamma    FALSE #> 6295   394 0.8340129 0.157802893  fv Log-Normal      RP(P), Gamma    FALSE #> 6311   395 0.6561839 0.125677696  fv Log-Normal      RP(P), Gamma    FALSE #> 6327   396 0.8530720 0.159253424  fv Log-Normal      RP(P), Gamma    FALSE #> 6343   397 0.5767037 0.111714735  fv Log-Normal      RP(P), Gamma    FALSE #> 6359   398 0.5759109 0.111597778  fv Log-Normal      RP(P), Gamma    FALSE #> 6375   399 0.7355098 0.139897611  fv Log-Normal      RP(P), Gamma    FALSE #> 6391   400 0.4833498 0.096136542  fv Log-Normal      RP(P), Gamma    FALSE #> 6407   401 0.5287786 0.103547267  fv Log-Normal      RP(P), Gamma    FALSE #> 6423   402 0.4729205 0.094927871  fv Log-Normal      RP(P), Gamma    FALSE #> 6439   403 0.4768322 0.093865073  fv Log-Normal      RP(P), Gamma    FALSE #> 6455   404 0.5503689 0.108894551  fv Log-Normal      RP(P), Gamma    FALSE #> 6471   405 0.4675984 0.093559702  fv Log-Normal      RP(P), Gamma    FALSE #> 6487   406 0.5998105 0.115658274  fv Log-Normal      RP(P), Gamma    FALSE #> 6503   407 0.7071862 0.135917794  fv Log-Normal      RP(P), Gamma    FALSE #> 6519   408 0.4551711 0.092545500  fv Log-Normal      RP(P), Gamma    FALSE #> 6535   409 0.6003096 0.116002539  fv Log-Normal      RP(P), Gamma    FALSE #> 6551   410 0.7354522 0.141341112  fv Log-Normal      RP(P), Gamma    FALSE #> 6567   411 0.5842355 0.114276721  fv Log-Normal      RP(P), Gamma    FALSE #> 6583   412 0.6358926 0.123916656  fv Log-Normal      RP(P), Gamma    FALSE #> 6599   413 0.4809322 0.096109620  fv Log-Normal      RP(P), Gamma    FALSE #> 6615   414 0.8207219 0.154498864  fv Log-Normal      RP(P), Gamma    FALSE #> 6631   415 1.0478283 0.190504759  fv Log-Normal      RP(P), Gamma     TRUE #> 6647   416 0.5063546 0.100886285  fv Log-Normal      RP(P), Gamma    FALSE #> 6663   417 0.5075324 0.100029009  fv Log-Normal      RP(P), Gamma    FALSE #> 6679   418 0.7581325 0.142360888  fv Log-Normal      RP(P), Gamma    FALSE #> 6695   419 0.4093657 0.082325590  fv Log-Normal      RP(P), Gamma    FALSE #> 6711   420 0.6457404 0.124412096  fv Log-Normal      RP(P), Gamma    FALSE #> 6727   421 0.7234085 0.138143903  fv Log-Normal      RP(P), Gamma    FALSE #> 6743   422 0.5477184 0.108345673  fv Log-Normal      RP(P), Gamma    FALSE #> 6759   423 0.5300261 0.103870701  fv Log-Normal      RP(P), Gamma    FALSE #> 6775   424 0.5958915 0.115434340  fv Log-Normal      RP(P), Gamma    FALSE #> 6791   425 0.7100163 0.136393457  fv Log-Normal      RP(P), Gamma    FALSE #> 6807   426 0.7479045 0.142305623  fv Log-Normal      RP(P), Gamma    FALSE #> 6823   427 0.9319722 0.173864781  fv Log-Normal      RP(P), Gamma    FALSE #> 6839   428 0.7297775 0.139498288  fv Log-Normal      RP(P), Gamma    FALSE #> 6855   429 0.6427432 0.123394639  fv Log-Normal      RP(P), Gamma    FALSE #> 6871   430 0.7897896 0.149428903  fv Log-Normal      RP(P), Gamma    FALSE #> 6887   431 0.5758042 0.112117071  fv Log-Normal      RP(P), Gamma    FALSE #> 6903   432 0.7845424 0.148213986  fv Log-Normal      RP(P), Gamma    FALSE #> 6919   433 0.5083695 0.099715747  fv Log-Normal      RP(P), Gamma    FALSE #> 6935   434 0.5697794 0.111842649  fv Log-Normal      RP(P), Gamma    FALSE #> 6951   435 0.4351491 0.087346250  fv Log-Normal      RP(P), Gamma    FALSE #> 6967   436 0.6492604 0.124247657  fv Log-Normal      RP(P), Gamma    FALSE #> 6983   437 0.4988429 0.098454001  fv Log-Normal      RP(P), Gamma    FALSE #> 6999   438 0.7564725 0.143124263  fv Log-Normal      RP(P), Gamma    FALSE #> 7015   439 0.5207554 0.103025427  fv Log-Normal      RP(P), Gamma    FALSE #> 7031   440 0.4006907 0.082110901  fv Log-Normal      RP(P), Gamma    FALSE #> 7047   441 0.5223614 0.103142164  fv Log-Normal      RP(P), Gamma    FALSE #> 7063   442 0.6273843 0.121115548  fv Log-Normal      RP(P), Gamma    FALSE #> 7079   443 0.7123241 0.136178257  fv Log-Normal      RP(P), Gamma    FALSE #> 7095   444 0.8116075 0.154510279  fv Log-Normal      RP(P), Gamma    FALSE #> 7111   445 0.7520363 0.141861132  fv Log-Normal      RP(P), Gamma    FALSE #> 7127   446 0.5504050 0.107298726  fv Log-Normal      RP(P), Gamma    FALSE #> 7143   447 0.7152656 0.135495651  fv Log-Normal      RP(P), Gamma    FALSE #> 7159   448 0.7269417 0.137299228  fv Log-Normal      RP(P), Gamma    FALSE #> 7175   449 0.8130967 0.153586780  fv Log-Normal      RP(P), Gamma    FALSE #> 7191   450 0.5713784 0.110828743  fv Log-Normal      RP(P), Gamma    FALSE #> 7207   451 0.6855537 0.130631019  fv Log-Normal      RP(P), Gamma    FALSE #> 7223   452 0.6852773 0.130601824  fv Log-Normal      RP(P), Gamma    FALSE #> 7239   453 0.6419976 0.123417285  fv Log-Normal      RP(P), Gamma    FALSE #> 7255   454 0.5915648 0.114794688  fv Log-Normal      RP(P), Gamma    FALSE #> 7271   455 0.5989062 0.116767828  fv Log-Normal      RP(P), Gamma    FALSE #> 7287   456 0.4514905 0.090400569  fv Log-Normal      RP(P), Gamma    FALSE #> 7303   457 0.7626711 0.143657175  fv Log-Normal      RP(P), Gamma    FALSE #> 7319   458 0.6695412 0.129232733  fv Log-Normal      RP(P), Gamma    FALSE #> 7335   459 0.7901092 0.149271994  fv Log-Normal      RP(P), Gamma    FALSE #> 7351   460 0.5384375 0.104506896  fv Log-Normal      RP(P), Gamma    FALSE #> 7367   461 0.6738614 0.128328530  fv Log-Normal      RP(P), Gamma    FALSE #> 7383   462 0.5995043 0.115203166  fv Log-Normal      RP(P), Gamma    FALSE #> 7399   463 0.8008576 0.152482024  fv Log-Normal      RP(P), Gamma    FALSE #> 7415   464 0.6534097 0.124409356  fv Log-Normal      RP(P), Gamma    FALSE #> 7431   465 0.7405431 0.140658325  fv Log-Normal      RP(P), Gamma    FALSE #> 7447   466 0.7429010 0.141190155  fv Log-Normal      RP(P), Gamma    FALSE #> 7463   467 0.6592663 0.127357206  fv Log-Normal      RP(P), Gamma    FALSE #> 7479   468 0.7478064 0.140591623  fv Log-Normal      RP(P), Gamma    FALSE #> 7495   469 0.7980469 0.151851588  fv Log-Normal      RP(P), Gamma    FALSE #> 7511   470 0.6707510 0.129109794  fv Log-Normal      RP(P), Gamma    FALSE #> 7527   471 0.5195360 0.101809578  fv Log-Normal      RP(P), Gamma    FALSE #> 7543   472 0.7761691 0.146491082  fv Log-Normal      RP(P), Gamma    FALSE #> 7559   473 0.6077641 0.117774706  fv Log-Normal      RP(P), Gamma    FALSE #> 7575   474 0.8208932 0.153749136  fv Log-Normal      RP(P), Gamma    FALSE #> 7591   475 0.5398973 0.105059599  fv Log-Normal      RP(P), Gamma    FALSE #> 7607   476 0.4413755 0.088778916  fv Log-Normal      RP(P), Gamma    FALSE #> 7623   477 0.4970617 0.099301281  fv Log-Normal      RP(P), Gamma    FALSE #> 7639   478 0.6622706 0.125773445  fv Log-Normal      RP(P), Gamma    FALSE #> 7655   479 0.6789292 0.129891752  fv Log-Normal      RP(P), Gamma    FALSE #> 7671   480 0.9229350 0.172022096  fv Log-Normal      RP(P), Gamma    FALSE #> 7687   481 0.8684971 0.161812769  fv Log-Normal      RP(P), Gamma    FALSE #> 7703   482 0.6084379 0.117279552  fv Log-Normal      RP(P), Gamma    FALSE #> 7719   483 0.7379684 0.139763885  fv Log-Normal      RP(P), Gamma    FALSE #> 7735   484 0.7328743 0.138984469  fv Log-Normal      RP(P), Gamma    FALSE #> 7751   485 0.5262836 0.103060594  fv Log-Normal      RP(P), Gamma    FALSE #> 7767   486 0.3908574 0.078920916  fv Log-Normal      RP(P), Gamma    FALSE #> 7783   487 0.7438818 0.140375079  fv Log-Normal      RP(P), Gamma    FALSE #> 7799   488 0.3983944 0.080663557  fv Log-Normal      RP(P), Gamma    FALSE #> 7815   489 0.6557783 0.126320270  fv Log-Normal      RP(P), Gamma    FALSE #> 7831   490 0.6026455 0.116547326  fv Log-Normal      RP(P), Gamma    FALSE #> 7847   491 0.6247174 0.121016263  fv Log-Normal      RP(P), Gamma    FALSE #> 7863   492 0.4832708 0.095096379  fv Log-Normal      RP(P), Gamma    FALSE #> 7879   493 0.9574865 0.177139532  fv Log-Normal      RP(P), Gamma    FALSE #> 7895   494 0.6006230 0.115956493  fv Log-Normal      RP(P), Gamma    FALSE #> 7911   495 0.7155432 0.135390082  fv Log-Normal      RP(P), Gamma    FALSE #> 7927   496 0.8779148 0.162996545  fv Log-Normal      RP(P), Gamma    FALSE #> 7943   497 0.5217565 0.102371859  fv Log-Normal      RP(P), Gamma    FALSE #> 7959   498 0.6078818 0.118535765  fv Log-Normal      RP(P), Gamma    FALSE #> 7975   499 0.7589340 0.144470802  fv Log-Normal      RP(P), Gamma    FALSE #> 7991   500 0.6576165 0.127056728  fv Log-Normal      RP(P), Gamma    FALSE #> 8007   501 1.1934506 0.215189767  fv Log-Normal      RP(P), Gamma     TRUE #> 8023   502 0.7026905 0.134449675  fv Log-Normal      RP(P), Gamma    FALSE #> 8039   503 0.6461175 0.123792245  fv Log-Normal      RP(P), Gamma    FALSE #> 8055   504 0.7780519 0.146498296  fv Log-Normal      RP(P), Gamma    FALSE #> 8071   505 0.6050506 0.116115429  fv Log-Normal      RP(P), Gamma    FALSE #> 8087   506 0.8133249 0.152842454  fv Log-Normal      RP(P), Gamma    FALSE #> 8103   507 0.5879703 0.113085205  fv Log-Normal      RP(P), Gamma    FALSE #> 8119   508 0.5068504 0.101178044  fv Log-Normal      RP(P), Gamma    FALSE #> 8135   509 0.5746260 0.111451015  fv Log-Normal      RP(P), Gamma    FALSE #> 8151   510 0.5602904 0.108703773  fv Log-Normal      RP(P), Gamma    FALSE #> 8167   511 0.4046575 0.081300884  fv Log-Normal      RP(P), Gamma    FALSE #> 8183   512 0.5938522 0.114988561  fv Log-Normal      RP(P), Gamma    FALSE #> 8199   513 0.6468916 0.123938467  fv Log-Normal      RP(P), Gamma    FALSE #> 8215   514 0.6397314 0.123893154  fv Log-Normal      RP(P), Gamma    FALSE #> 8231   515 0.5028497 0.099639884  fv Log-Normal      RP(P), Gamma    FALSE #> 8247   516 0.6476726 0.124767612  fv Log-Normal      RP(P), Gamma    FALSE #> 8263   517 0.3325667 0.068670557  fv Log-Normal      RP(P), Gamma    FALSE #> 8279   518 0.6558678 0.125826549  fv Log-Normal      RP(P), Gamma    FALSE #> 8295   519 0.6732987 0.128685268  fv Log-Normal      RP(P), Gamma    FALSE #> 8311   520 0.6850792 0.130179158  fv Log-Normal      RP(P), Gamma    FALSE #> 8327   521 0.6370219 0.122012074  fv Log-Normal      RP(P), Gamma    FALSE #> 8343   522 0.4885136 0.096484117  fv Log-Normal      RP(P), Gamma    FALSE #> 8359   523 0.6496220 0.124197298  fv Log-Normal      RP(P), Gamma    FALSE #> 8375   524 0.5234049 0.104270802  fv Log-Normal      RP(P), Gamma    FALSE #> 8391   525 0.6765518 0.130414457  fv Log-Normal      RP(P), Gamma    FALSE #> 8407   526 0.5584063 0.109625927  fv Log-Normal      RP(P), Gamma    FALSE #> 8423   527 0.6834322 0.132081427  fv Log-Normal      RP(P), Gamma    FALSE #> 8439   528 0.7426000 0.140512963  fv Log-Normal      RP(P), Gamma    FALSE #> 8455   529 0.7934196 0.148789101  fv Log-Normal      RP(P), Gamma    FALSE #> 8471   530 0.3948235 0.080023161  fv Log-Normal      RP(P), Gamma    FALSE #> 8487   531 0.7875890 0.147558495  fv Log-Normal      RP(P), Gamma    FALSE #> 8503   532 0.6135217 0.117702935  fv Log-Normal      RP(P), Gamma    FALSE #> 8519   533 0.6120718 0.118048211  fv Log-Normal      RP(P), Gamma    FALSE #> 8535   534 0.6716551 0.129306507  fv Log-Normal      RP(P), Gamma    FALSE #> 8551   535 0.7335196 0.138512829  fv Log-Normal      RP(P), Gamma    FALSE #> 8567   536 0.5204424 0.102465629  fv Log-Normal      RP(P), Gamma    FALSE #> 8583   537 1.0379600 0.188908964  fv Log-Normal      RP(P), Gamma     TRUE #> 8599   538 0.4548943 0.090692268  fv Log-Normal      RP(P), Gamma    FALSE #> 8615   539 0.6713151 0.130815161  fv Log-Normal      RP(P), Gamma    FALSE #> 8631   540 0.5523580 0.107988775  fv Log-Normal      RP(P), Gamma    FALSE #> 8647   541 0.8042797 0.150903144  fv Log-Normal      RP(P), Gamma    FALSE #> 8663   542 0.6949027 0.132583092  fv Log-Normal      RP(P), Gamma    FALSE #> 8679   543 0.7476093 0.142469608  fv Log-Normal      RP(P), Gamma    FALSE #> 8695   544 0.6774908 0.129791800  fv Log-Normal      RP(P), Gamma    FALSE #> 8711   545 0.5143813 0.100902954  fv Log-Normal      RP(P), Gamma    FALSE #> 8727   546 0.8312447 0.156455946  fv Log-Normal      RP(P), Gamma    FALSE #> 8743   547 0.6121114 0.118650971  fv Log-Normal      RP(P), Gamma    FALSE #> 8759   548 0.5140565 0.102068375  fv Log-Normal      RP(P), Gamma    FALSE #> 8775   549 0.7348816 0.138826062  fv Log-Normal      RP(P), Gamma    FALSE #> 8791   550 0.5090552 0.102033236  fv Log-Normal      RP(P), Gamma    FALSE #> 8807   551 0.6688984 0.127755112  fv Log-Normal      RP(P), Gamma    FALSE #> 8823   552 0.6265386 0.120777429  fv Log-Normal      RP(P), Gamma    FALSE #> 8839   553 0.7047650 0.132991368  fv Log-Normal      RP(P), Gamma    FALSE #> 8855   554 0.8291163 0.157127475  fv Log-Normal      RP(P), Gamma    FALSE #> 8871   555 0.6850161 0.130269138  fv Log-Normal      RP(P), Gamma    FALSE #> 8887   556 0.7538022 0.142279468  fv Log-Normal      RP(P), Gamma    FALSE #> 8903   557 0.6250217 0.120230852  fv Log-Normal      RP(P), Gamma    FALSE #> 8919   558 0.6063746 0.117061554  fv Log-Normal      RP(P), Gamma    FALSE #> 8935   559 0.5429581 0.106505362  fv Log-Normal      RP(P), Gamma    FALSE #> 8951   560 0.7137899 0.135857490  fv Log-Normal      RP(P), Gamma    FALSE #> 8967   561 1.0273063 0.187917372  fv Log-Normal      RP(P), Gamma     TRUE #> 8983   562 0.7434955 0.141140034  fv Log-Normal      RP(P), Gamma    FALSE #> 8999   563 0.6801410 0.129591934  fv Log-Normal      RP(P), Gamma    FALSE #> 9015   564 0.5086320 0.099547959  fv Log-Normal      RP(P), Gamma    FALSE #> 9031   565 0.5188484 0.102466411  fv Log-Normal      RP(P), Gamma    FALSE #> 9047   566 0.6244033 0.120264371  fv Log-Normal      RP(P), Gamma    FALSE #> 9063   567 0.5979873 0.115359367  fv Log-Normal      RP(P), Gamma    FALSE #> 9079   568 0.4721114 0.093701853  fv Log-Normal      RP(P), Gamma    FALSE #> 9095   569 0.7965129 0.150098223  fv Log-Normal      RP(P), Gamma    FALSE #> 9111   570 0.4628960 0.091470885  fv Log-Normal      RP(P), Gamma    FALSE #> 9127   571 0.5842951 0.112728421  fv Log-Normal      RP(P), Gamma    FALSE #> 9143   572 0.5708745 0.111699420  fv Log-Normal      RP(P), Gamma    FALSE #> 9159   573 0.5750242 0.111902694  fv Log-Normal      RP(P), Gamma    FALSE #> 9175   574 0.6440778 0.123736426  fv Log-Normal      RP(P), Gamma    FALSE #> 9191   575 0.5468114 0.107030650  fv Log-Normal      RP(P), Gamma    FALSE #> 9207   576 0.5554273 0.108360345  fv Log-Normal      RP(P), Gamma    FALSE #> 9223   577 0.9266912 0.174564789  fv Log-Normal      RP(P), Gamma    FALSE #> 9239   578 0.5261017 0.103127649  fv Log-Normal      RP(P), Gamma    FALSE #> 9255   579 0.5387574 0.106274310  fv Log-Normal      RP(P), Gamma    FALSE #> 9271   580 0.4707019 0.094408535  fv Log-Normal      RP(P), Gamma    FALSE #> 9287   581 0.6504271 0.124298433  fv Log-Normal      RP(P), Gamma    FALSE #> 9303   582 0.6775845 0.129556677  fv Log-Normal      RP(P), Gamma    FALSE #> 9319   583 0.8861042 0.163642549  fv Log-Normal      RP(P), Gamma    FALSE #> 9335   584 0.5002307 0.099003587  fv Log-Normal      RP(P), Gamma    FALSE #> 9351   585 0.6170829 0.118479185  fv Log-Normal      RP(P), Gamma    FALSE #> 9367   586 0.6901922 0.132247790  fv Log-Normal      RP(P), Gamma    FALSE #> 9383   587 0.8271364 0.156625337  fv Log-Normal      RP(P), Gamma    FALSE #> 9399   588 0.4991248 0.098354530  fv Log-Normal      RP(P), Gamma    FALSE #> 9415   589 0.5658254 0.110527743  fv Log-Normal      RP(P), Gamma    FALSE #> 9431   590 0.6760460 0.129168104  fv Log-Normal      RP(P), Gamma    FALSE #> 9447   591 0.7096084 0.134844438  fv Log-Normal      RP(P), Gamma    FALSE #> 9463   592 0.6397263 0.122142964  fv Log-Normal      RP(P), Gamma    FALSE #> 9479   593 0.8485950 0.159290802  fv Log-Normal      RP(P), Gamma    FALSE #> 9495   594 0.5980829 0.115005110  fv Log-Normal      RP(P), Gamma    FALSE #> 9511   595 0.4900971 0.096783028  fv Log-Normal      RP(P), Gamma    FALSE #> 9527   596 0.7574788 0.147358757  fv Log-Normal      RP(P), Gamma    FALSE #> 9543   597 0.5555007 0.108764648  fv Log-Normal      RP(P), Gamma    FALSE #> 9559   598 0.8869603 0.164652912  fv Log-Normal      RP(P), Gamma    FALSE #> 9575   599 0.7172531 0.139602364  fv Log-Normal      RP(P), Gamma    FALSE #> 9591   600 0.4875005 0.096751810  fv Log-Normal      RP(P), Gamma    FALSE #> 9607   601 1.0034908 0.185067542  fv Log-Normal      RP(P), Gamma     TRUE #> 9623   602 0.9315667 0.173569567  fv Log-Normal      RP(P), Gamma    FALSE #> 9639   603 0.3891561 0.079134558  fv Log-Normal      RP(P), Gamma    FALSE #> 9655   604 0.6831090 0.130655727  fv Log-Normal      RP(P), Gamma    FALSE #> 9671   605 1.2021178 0.217657229  fv Log-Normal      RP(P), Gamma     TRUE #> 9687   606 0.6513685 0.125714802  fv Log-Normal      RP(P), Gamma    FALSE #> 9703   607 0.5322629 0.105264233  fv Log-Normal      RP(P), Gamma    FALSE #> 9719   608 0.3897829 0.078912911  fv Log-Normal      RP(P), Gamma    FALSE #> 9735   609 0.7388302 0.139633573  fv Log-Normal      RP(P), Gamma    FALSE #> 9751   610 0.5779827 0.112718737  fv Log-Normal      RP(P), Gamma    FALSE #> 9767   611 0.7309416 0.140033806  fv Log-Normal      RP(P), Gamma    FALSE #> 9783   612 0.4843671 0.095423699  fv Log-Normal      RP(P), Gamma    FALSE #> 9799   613 0.6706920 0.127546045  fv Log-Normal      RP(P), Gamma    FALSE #> 9815   614 0.6183168 0.118772783  fv Log-Normal      RP(P), Gamma    FALSE #> 9831   615 0.7045260 0.133355951  fv Log-Normal      RP(P), Gamma    FALSE #> 9847   616 0.6489493 0.123879789  fv Log-Normal      RP(P), Gamma    FALSE #> 9863   617 0.6632689 0.126921727  fv Log-Normal      RP(P), Gamma    FALSE #> 9879   618 0.6334784 0.123145460  fv Log-Normal      RP(P), Gamma    FALSE #> 9895   619 0.7035638 0.133736565  fv Log-Normal      RP(P), Gamma    FALSE #> 9911   620 0.7020430 0.134210585  fv Log-Normal      RP(P), Gamma    FALSE #> 9927   621 0.4819005 0.094952770  fv Log-Normal      RP(P), Gamma    FALSE #> 9943   622 0.5397034 0.105579639  fv Log-Normal      RP(P), Gamma    FALSE #> 9959   623 0.7881921 0.149884077  fv Log-Normal      RP(P), Gamma    FALSE #> 9975   624 0.5203504 0.102733074  fv Log-Normal      RP(P), Gamma    FALSE #> 9991   625 0.6837447 0.131406762  fv Log-Normal      RP(P), Gamma    FALSE #> 10007  626 0.5549372 0.108180877  fv Log-Normal      RP(P), Gamma    FALSE #> 10023  627 0.5179683 0.101178304  fv Log-Normal      RP(P), Gamma    FALSE #> 10039  628 0.6020692 0.118086101  fv Log-Normal      RP(P), Gamma    FALSE #> 10055  629 0.6000282 0.116646938  fv Log-Normal      RP(P), Gamma    FALSE #> 10071  630 0.7279731 0.137843137  fv Log-Normal      RP(P), Gamma    FALSE #> 10087  631 0.6027202 0.116593410  fv Log-Normal      RP(P), Gamma    FALSE #> 10103  632 0.6537910 0.125818670  fv Log-Normal      RP(P), Gamma    FALSE #> 10119  633 0.4513900 0.090185550  fv Log-Normal      RP(P), Gamma    FALSE #> 10135  634 0.5375152 0.105208433  fv Log-Normal      RP(P), Gamma    FALSE #> 10151  635 0.7997065 0.151945464  fv Log-Normal      RP(P), Gamma    FALSE #> 10167  636 0.3688985 0.074968576  fv Log-Normal      RP(P), Gamma    FALSE #> 10183  637 0.8181358 0.153742550  fv Log-Normal      RP(P), Gamma    FALSE #> 10199  638 0.6190300 0.120041647  fv Log-Normal      RP(P), Gamma    FALSE #> 10215  639 0.4075020 0.082684708  fv Log-Normal      RP(P), Gamma    FALSE #> 10231  640 0.6079183 0.117406864  fv Log-Normal      RP(P), Gamma    FALSE #> 10247  641 0.5327102 0.105110772  fv Log-Normal      RP(P), Gamma    FALSE #> 10263  642 0.5627774 0.109736079  fv Log-Normal      RP(P), Gamma    FALSE #> 10279  643 0.6140868 0.118512864  fv Log-Normal      RP(P), Gamma    FALSE #> 10295  644 0.5859136 0.113867905  fv Log-Normal      RP(P), Gamma    FALSE #> 10311  645 0.7201751 0.137426049  fv Log-Normal      RP(P), Gamma    FALSE #> 10327  646        NA          NA  fv Log-Normal      RP(P), Gamma       NA #> 10343  647 0.5681908 0.110136754  fv Log-Normal      RP(P), Gamma    FALSE #> 10359  648 0.9305917 0.172374754  fv Log-Normal      RP(P), Gamma    FALSE #> 10375  649 0.5485075 0.107764779  fv Log-Normal      RP(P), Gamma    FALSE #> 10391  650 0.7601556 0.143756671  fv Log-Normal      RP(P), Gamma    FALSE #> 10407  651 0.6466322 0.123731016  fv Log-Normal      RP(P), Gamma    FALSE #> 10423  652 1.0102019 0.184233698  fv Log-Normal      RP(P), Gamma     TRUE #> 10439  653 0.4677185 0.093001021  fv Log-Normal      RP(P), Gamma    FALSE #> 10455  654 0.5012781 0.099290261  fv Log-Normal      RP(P), Gamma    FALSE #> 10471  655 0.6184514 0.119322143  fv Log-Normal      RP(P), Gamma    FALSE #> 10487  656 0.5893034 0.114337156  fv Log-Normal      RP(P), Gamma    FALSE #> 10503  657 0.4700947 0.093330712  fv Log-Normal      RP(P), Gamma    FALSE #> 10519  658 0.9548714 0.176352345  fv Log-Normal      RP(P), Gamma    FALSE #> 10535  659 0.9221158 0.172214444  fv Log-Normal      RP(P), Gamma    FALSE #> 10551  660 0.6906597 0.131068552  fv Log-Normal      RP(P), Gamma    FALSE #> 10567  661 0.4580311 0.090771001  fv Log-Normal      RP(P), Gamma    FALSE #> 10583  662 0.5164133 0.101474521  fv Log-Normal      RP(P), Gamma    FALSE #> 10599  663 0.5910451 0.114456254  fv Log-Normal      RP(P), Gamma    FALSE #> 10615  664 0.6069571 0.116792001  fv Log-Normal      RP(P), Gamma    FALSE #> 10631  665 0.7872832 0.148967481  fv Log-Normal      RP(P), Gamma    FALSE #> 10647  666 0.9872431 0.180995966  fv Log-Normal      RP(P), Gamma     TRUE #> 10663  667 0.5861609 0.113728094  fv Log-Normal      RP(P), Gamma    FALSE #> 10679  668 0.5965077 0.116224148  fv Log-Normal      RP(P), Gamma    FALSE #> 10695  669 0.7858658 0.148111774  fv Log-Normal      RP(P), Gamma    FALSE #> 10711  670 0.5644456 0.111070175  fv Log-Normal      RP(P), Gamma    FALSE #> 10727  671 0.7257817 0.138317915  fv Log-Normal      RP(P), Gamma    FALSE #> 10743  672 0.8699537 0.162873189  fv Log-Normal      RP(P), Gamma    FALSE #> 10759  673        NA          NA  fv Log-Normal      RP(P), Gamma       NA #> 10775  674 0.7477157 0.142416167  fv Log-Normal      RP(P), Gamma    FALSE #> 10791  675 0.5433898 0.107245880  fv Log-Normal      RP(P), Gamma    FALSE #> 10807  676 0.8399640 0.157547560  fv Log-Normal      RP(P), Gamma    FALSE #> 10823  677 0.6227503 0.120604554  fv Log-Normal      RP(P), Gamma    FALSE #> 10839  678 0.5245707 0.103511296  fv Log-Normal      RP(P), Gamma    FALSE #> 10855  679 0.5837353 0.114105618  fv Log-Normal      RP(P), Gamma    FALSE #> 10871  680 0.6687400 0.128093769  fv Log-Normal      RP(P), Gamma    FALSE #> 10887  681 0.8689437 0.162084794  fv Log-Normal      RP(P), Gamma    FALSE #> 10903  682 0.5411130 0.105287312  fv Log-Normal      RP(P), Gamma    FALSE #> 10919  683 0.7576341 0.145307823  fv Log-Normal      RP(P), Gamma    FALSE #> 10935  684 0.9589529 0.177509901  fv Log-Normal      RP(P), Gamma    FALSE #> 10951  685 0.5633214 0.109342344  fv Log-Normal      RP(P), Gamma    FALSE #> 10967  686 0.8200752 0.154050410  fv Log-Normal      RP(P), Gamma    FALSE #> 10983  687 0.5295936 0.103602159  fv Log-Normal      RP(P), Gamma    FALSE #> 10999  688 0.5361570 0.105208722  fv Log-Normal      RP(P), Gamma    FALSE #> 11015  689 0.5920704 0.115501697  fv Log-Normal      RP(P), Gamma    FALSE #> 11031  690 0.7275334 0.138140884  fv Log-Normal      RP(P), Gamma    FALSE #> 11047  691 0.7479373 0.145837123  fv Log-Normal      RP(P), Gamma    FALSE #> 11063  692 0.5492636 0.106737488  fv Log-Normal      RP(P), Gamma    FALSE #> 11079  693 0.4530186 0.090401153  fv Log-Normal      RP(P), Gamma    FALSE #> 11095  694 0.6821877 0.130885389  fv Log-Normal      RP(P), Gamma    FALSE #> 11111  695 0.5561848 0.108503923  fv Log-Normal      RP(P), Gamma    FALSE #> 11127  696 0.6698984 0.127785352  fv Log-Normal      RP(P), Gamma    FALSE #> 11143  697 0.8044238 0.152341904  fv Log-Normal      RP(P), Gamma    FALSE #> 11159  698 0.4029591 0.081215489  fv Log-Normal      RP(P), Gamma    FALSE #> 11175  699 0.6220318 0.120794862  fv Log-Normal      RP(P), Gamma    FALSE #> 11191  700 0.4838667 0.095650738  fv Log-Normal      RP(P), Gamma    FALSE #> 11207  701 0.7141305 0.135782693  fv Log-Normal      RP(P), Gamma    FALSE #> 11223  702 0.7876228 0.150480099  fv Log-Normal      RP(P), Gamma    FALSE #> 11239  703 0.6834653 0.131044510  fv Log-Normal      RP(P), Gamma    FALSE #> 11255  704 0.6006202 0.117032734  fv Log-Normal      RP(P), Gamma    FALSE #> 11271  705 0.5825614 0.112553700  fv Log-Normal      RP(P), Gamma    FALSE #> 11287  706 0.6462783 0.123967447  fv Log-Normal      RP(P), Gamma    FALSE #> 11303  707 0.7719009 0.144912433  fv Log-Normal      RP(P), Gamma    FALSE #> 11319  708 0.7589118 0.142597681  fv Log-Normal      RP(P), Gamma    FALSE #> 11335  709 0.7050173 0.137776068  fv Log-Normal      RP(P), Gamma    FALSE #> 11351  710 0.4858904 0.096616911  fv Log-Normal      RP(P), Gamma    FALSE #> 11367  711 0.6714817 0.132119633  fv Log-Normal      RP(P), Gamma    FALSE #> 11383  712 0.6359158 0.122551215  fv Log-Normal      RP(P), Gamma    FALSE #> 11399  713 0.8791749 0.164312628  fv Log-Normal      RP(P), Gamma    FALSE #> 11415  714 0.7282695 0.139130739  fv Log-Normal      RP(P), Gamma    FALSE #> 11431  715 0.6771839 0.128896557  fv Log-Normal      RP(P), Gamma    FALSE #> 11447  716 0.6207014 0.118958633  fv Log-Normal      RP(P), Gamma    FALSE #> 11463  717 0.6726106 0.128777566  fv Log-Normal      RP(P), Gamma    FALSE #> 11479  718 0.7884210 0.149205688  fv Log-Normal      RP(P), Gamma    FALSE #> 11495  719 0.9354300 0.174953745  fv Log-Normal      RP(P), Gamma    FALSE #> 11511  720 0.6328266 0.120907672  fv Log-Normal      RP(P), Gamma    FALSE #> 11527  721 0.5089454 0.100114135  fv Log-Normal      RP(P), Gamma    FALSE #> 11543  722 0.7041724 0.133806495  fv Log-Normal      RP(P), Gamma    FALSE #> 11559  723 0.5814509 0.113499196  fv Log-Normal      RP(P), Gamma    FALSE #> 11575  724 0.6792830 0.131396754  fv Log-Normal      RP(P), Gamma    FALSE #> 11591  725 0.6745890 0.128900101  fv Log-Normal      RP(P), Gamma    FALSE #> 11607  726 0.5696167 0.111100388  fv Log-Normal      RP(P), Gamma    FALSE #> 11623  727 0.6978610 0.132614516  fv Log-Normal      RP(P), Gamma    FALSE #> 11639  728 0.9034155 0.167348520  fv Log-Normal      RP(P), Gamma    FALSE #> 11655  729 0.6633172 0.127045130  fv Log-Normal      RP(P), Gamma    FALSE #> 11671  730 0.7354073 0.139683994  fv Log-Normal      RP(P), Gamma    FALSE #> 11687  731 0.4588272 0.091441953  fv Log-Normal      RP(P), Gamma    FALSE #> 11703  732 0.3973257 0.079866721  fv Log-Normal      RP(P), Gamma    FALSE #> 11719  733 0.7814645 0.146827178  fv Log-Normal      RP(P), Gamma    FALSE #> 11735  734 0.7249903 0.137092513  fv Log-Normal      RP(P), Gamma    FALSE #> 11751  735 0.8071961 0.150405379  fv Log-Normal      RP(P), Gamma    FALSE #> 11767  736 0.7304049 0.138624944  fv Log-Normal      RP(P), Gamma    FALSE #> 11783  737 0.6499469 0.124179968  fv Log-Normal      RP(P), Gamma    FALSE #> 11799  738 0.5145282 0.102065122  fv Log-Normal      RP(P), Gamma    FALSE #> 11815  739 0.5378257 0.105378663  fv Log-Normal      RP(P), Gamma    FALSE #> 11831  740 0.7258771 0.138116188  fv Log-Normal      RP(P), Gamma    FALSE #> 11847  741 0.7920583 0.148213635  fv Log-Normal      RP(P), Gamma    FALSE #> 11863  742 0.5970828 0.115587617  fv Log-Normal      RP(P), Gamma    FALSE #> 11879  743 0.6394701 0.122627568  fv Log-Normal      RP(P), Gamma    FALSE #> 11895  744 0.6091485 0.117450392  fv Log-Normal      RP(P), Gamma    FALSE #> 11911  745 0.6261920 0.120351132  fv Log-Normal      RP(P), Gamma    FALSE #> 11927  746 0.6135938 0.122447852  fv Log-Normal      RP(P), Gamma    FALSE #> 11943  747 0.5673960 0.110262652  fv Log-Normal      RP(P), Gamma    FALSE #> 11959  748 0.8174448 0.154866402  fv Log-Normal      RP(P), Gamma    FALSE #> 11975  749 0.8885850 0.166289328  fv Log-Normal      RP(P), Gamma    FALSE #> 11991  750 0.6699179 0.128164911  fv Log-Normal      RP(P), Gamma    FALSE #> 12007  751 0.7705349 0.145197488  fv Log-Normal      RP(P), Gamma    FALSE #> 12023  752 0.6450425 0.126445127  fv Log-Normal      RP(P), Gamma    FALSE #> 12039  753 0.4026709 0.081871038  fv Log-Normal      RP(P), Gamma    FALSE #> 12055  754 0.6467650 0.123887308  fv Log-Normal      RP(P), Gamma    FALSE #> 12071  755 0.5962017 0.115578760  fv Log-Normal      RP(P), Gamma    FALSE #> 12087  756 0.3445761 0.070995077  fv Log-Normal      RP(P), Gamma    FALSE #> 12103  757 0.6404506 0.123358322  fv Log-Normal      RP(P), Gamma    FALSE #> 12119  758 0.6790225 0.129965624  fv Log-Normal      RP(P), Gamma    FALSE #> 12135  759 0.5793013 0.112522796  fv Log-Normal      RP(P), Gamma    FALSE #> 12151  760 0.8538180 0.161150772  fv Log-Normal      RP(P), Gamma    FALSE #> 12167  761 0.5461966 0.107166035  fv Log-Normal      RP(P), Gamma    FALSE #> 12183  762 0.7113599 0.136036958  fv Log-Normal      RP(P), Gamma    FALSE #> 12199  763 0.5127570 0.101335906  fv Log-Normal      RP(P), Gamma    FALSE #> 12215  764 0.5758858 0.111788456  fv Log-Normal      RP(P), Gamma    FALSE #> 12231  765 0.7675959 0.144097832  fv Log-Normal      RP(P), Gamma    FALSE #> 12247  766 0.5609105 0.108690460  fv Log-Normal      RP(P), Gamma    FALSE #> 12263  767 0.7365808 0.139483235  fv Log-Normal      RP(P), Gamma    FALSE #> 12279  768 0.4824173 0.095129579  fv Log-Normal      RP(P), Gamma    FALSE #> 12295  769 0.8394776 0.157050045  fv Log-Normal      RP(P), Gamma    FALSE #> 12311  770 0.5206753 0.102467205  fv Log-Normal      RP(P), Gamma    FALSE #> 12327  771 0.5324155 0.106859081  fv Log-Normal      RP(P), Gamma    FALSE #> 12343  772 0.5028216 0.098894975  fv Log-Normal      RP(P), Gamma    FALSE #> 12359  773 0.5634591 0.111361709  fv Log-Normal      RP(P), Gamma    FALSE #> 12375  774 0.6726680 0.129487861  fv Log-Normal      RP(P), Gamma    FALSE #> 12391  775 0.6117312 0.118219973  fv Log-Normal      RP(P), Gamma    FALSE #> 12407  776 0.5611248 0.108670367  fv Log-Normal      RP(P), Gamma    FALSE #> 12423  777 0.5629907 0.109897969  fv Log-Normal      RP(P), Gamma    FALSE #> 12439  778 0.5298195 0.103885618  fv Log-Normal      RP(P), Gamma    FALSE #> 12455  779 0.5462480 0.106788201  fv Log-Normal      RP(P), Gamma    FALSE #> 12471  780 0.5444594 0.106379957  fv Log-Normal      RP(P), Gamma    FALSE #> 12487  781 0.6444463 0.124004297  fv Log-Normal      RP(P), Gamma    FALSE #> 12503  782 0.5443616 0.106294312  fv Log-Normal      RP(P), Gamma    FALSE #> 12519  783 0.5651637 0.110239835  fv Log-Normal      RP(P), Gamma    FALSE #> 12535  784 0.7141628 0.136152496  fv Log-Normal      RP(P), Gamma    FALSE #> 12551  785 0.4331883 0.086467176  fv Log-Normal      RP(P), Gamma    FALSE #> 12567  786 0.5881396 0.114710602  fv Log-Normal      RP(P), Gamma    FALSE #> 12583  787 0.8314603 0.155149305  fv Log-Normal      RP(P), Gamma    FALSE #> 12599  788 0.6241300 0.120299910  fv Log-Normal      RP(P), Gamma    FALSE #> 12615  789 0.7653722 0.144630922  fv Log-Normal      RP(P), Gamma    FALSE #> 12631  790 0.6111340 0.117710305  fv Log-Normal      RP(P), Gamma    FALSE #> 12647  791 0.3753609 0.075903655  fv Log-Normal      RP(P), Gamma    FALSE #> 12663  792 0.5553672 0.110018225  fv Log-Normal      RP(P), Gamma    FALSE #> 12679  793 0.7380648 0.139320411  fv Log-Normal      RP(P), Gamma    FALSE #> 12695  794 0.6753683 0.133256274  fv Log-Normal      RP(P), Gamma    FALSE #> 12711  795 0.5768839 0.112455428  fv Log-Normal      RP(P), Gamma    FALSE #> 12727  796 0.5128957 0.100971449  fv Log-Normal      RP(P), Gamma    FALSE #> 12743  797 0.5171431 0.101337411  fv Log-Normal      RP(P), Gamma    FALSE #> 12759  798 0.4026960 0.081677375  fv Log-Normal      RP(P), Gamma    FALSE #> 12775  799 0.6303514 0.120628692  fv Log-Normal      RP(P), Gamma    FALSE #> 12791  800 0.6501893 0.125184344  fv Log-Normal      RP(P), Gamma    FALSE #> 12807  801 0.9250278 0.172573485  fv Log-Normal      RP(P), Gamma    FALSE #> 12823  802 0.6252328 0.119546062  fv Log-Normal      RP(P), Gamma    FALSE #> 12839  803 0.6134816 0.118753122  fv Log-Normal      RP(P), Gamma    FALSE #> 12855  804 0.6678647 0.127903390  fv Log-Normal      RP(P), Gamma    FALSE #> 12871  805 0.8631726 0.164708763  fv Log-Normal      RP(P), Gamma    FALSE #> 12887  806 0.8331630 0.159110944  fv Log-Normal      RP(P), Gamma    FALSE #> 12903  807 0.6846960 0.136036587  fv Log-Normal      RP(P), Gamma    FALSE #> 12919  808 0.4612360 0.091479967  fv Log-Normal      RP(P), Gamma    FALSE #> 12935  809 0.5738387 0.111513989  fv Log-Normal      RP(P), Gamma    FALSE #> 12951  810 0.6283526 0.120695686  fv Log-Normal      RP(P), Gamma    FALSE #> 12967  811 0.4109691 0.082520063  fv Log-Normal      RP(P), Gamma    FALSE #> 12983  812 0.6375459 0.123083940  fv Log-Normal      RP(P), Gamma    FALSE #> 12999  813 0.7069596 0.133763426  fv Log-Normal      RP(P), Gamma    FALSE #> 13015  814 0.6129295 0.118654574  fv Log-Normal      RP(P), Gamma    FALSE #> 13031  815 0.5429190 0.107859435  fv Log-Normal      RP(P), Gamma    FALSE #> 13047  816 0.5861718 0.113598258  fv Log-Normal      RP(P), Gamma    FALSE #> 13063  817 0.4079590 0.082085894  fv Log-Normal      RP(P), Gamma    FALSE #> 13079  818 0.6366459 0.124630856  fv Log-Normal      RP(P), Gamma    FALSE #> 13095  819 0.7049751 0.133589547  fv Log-Normal      RP(P), Gamma    FALSE #> 13111  820 0.8116920 0.153995715  fv Log-Normal      RP(P), Gamma    FALSE #> 13127  821 0.4937436 0.097102999  fv Log-Normal      RP(P), Gamma    FALSE #> 13143  822 0.8114681 0.152991774  fv Log-Normal      RP(P), Gamma    FALSE #> 13159  823 0.9386106 0.175718415  fv Log-Normal      RP(P), Gamma    FALSE #> 13175  824 0.7808530 0.147394509  fv Log-Normal      RP(P), Gamma    FALSE #> 13191  825 0.7047845 0.134917093  fv Log-Normal      RP(P), Gamma    FALSE #> 13207  826 0.7088981 0.135782107  fv Log-Normal      RP(P), Gamma    FALSE #> 13223  827 0.8137925 0.154712370  fv Log-Normal      RP(P), Gamma    FALSE #> 13239  828 0.5961539 0.116832078  fv Log-Normal      RP(P), Gamma    FALSE #> 13255  829 0.6508909 0.125234317  fv Log-Normal      RP(P), Gamma    FALSE #> 13271  830 0.7521623 0.142500178  fv Log-Normal      RP(P), Gamma    FALSE #> 13287  831 0.6926346 0.131352292  fv Log-Normal      RP(P), Gamma    FALSE #> 13303  832 0.4914520 0.097328337  fv Log-Normal      RP(P), Gamma    FALSE #> 13319  833 0.7543088 0.142866110  fv Log-Normal      RP(P), Gamma    FALSE #> 13335  834 0.5803865 0.113194461  fv Log-Normal      RP(P), Gamma    FALSE #> 13351  835 0.6213117 0.120310790  fv Log-Normal      RP(P), Gamma    FALSE #> 13367  836 0.6794638 0.130019762  fv Log-Normal      RP(P), Gamma    FALSE #> 13383  837 0.7571700 0.144029552  fv Log-Normal      RP(P), Gamma    FALSE #> 13399  838 0.6022522 0.116527948  fv Log-Normal      RP(P), Gamma    FALSE #> 13415  839 0.5678387 0.111762360  fv Log-Normal      RP(P), Gamma    FALSE #> 13431  840 0.5794574 0.112732652  fv Log-Normal      RP(P), Gamma    FALSE #> 13447  841 0.9027367 0.169264440  fv Log-Normal      RP(P), Gamma    FALSE #> 13463  842 0.4945054 0.097465716  fv Log-Normal      RP(P), Gamma    FALSE #> 13479  843 0.6164251 0.120453087  fv Log-Normal      RP(P), Gamma    FALSE #> 13495  844 0.7770622 0.145721886  fv Log-Normal      RP(P), Gamma    FALSE #> 13511  845 0.8054185 0.151160755  fv Log-Normal      RP(P), Gamma    FALSE #> 13527  846 0.4947152 0.097800871  fv Log-Normal      RP(P), Gamma    FALSE #> 13543  847 0.8873520 0.164465959  fv Log-Normal      RP(P), Gamma    FALSE #> 13559  848 0.6732286 0.128419353  fv Log-Normal      RP(P), Gamma    FALSE #> 13575  849 0.5501974 0.107615525  fv Log-Normal      RP(P), Gamma    FALSE #> 13591  850 0.7657343 0.145271938  fv Log-Normal      RP(P), Gamma    FALSE #> 13607  851 0.5838296 0.112816077  fv Log-Normal      RP(P), Gamma    FALSE #> 13623  852 0.6089890 0.117360510  fv Log-Normal      RP(P), Gamma    FALSE #> 13639  853 0.8570792 0.158811310  fv Log-Normal      RP(P), Gamma    FALSE #> 13655  854 0.6181706 0.120058291  fv Log-Normal      RP(P), Gamma    FALSE #> 13671  855 0.5443013 0.106559331  fv Log-Normal      RP(P), Gamma    FALSE #> 13687  856 0.7619340 0.144167343  fv Log-Normal      RP(P), Gamma    FALSE #> 13703  857 0.7054784 0.134681813  fv Log-Normal      RP(P), Gamma    FALSE #> 13719  858 0.8737770 0.162469522  fv Log-Normal      RP(P), Gamma    FALSE #> 13735  859 0.8436609 0.158355957  fv Log-Normal      RP(P), Gamma    FALSE #> 13751  860 0.6203294 0.120462203  fv Log-Normal      RP(P), Gamma    FALSE #> 13767  861 0.4246650 0.085201724  fv Log-Normal      RP(P), Gamma    FALSE #> 13783  862 0.5717094 0.110974928  fv Log-Normal      RP(P), Gamma    FALSE #> 13799  863 0.5930878 0.114981994  fv Log-Normal      RP(P), Gamma    FALSE #> 13815  864 0.7889726 0.148845738  fv Log-Normal      RP(P), Gamma    FALSE #> 13831  865 0.8396676 0.157504805  fv Log-Normal      RP(P), Gamma    FALSE #> 13847  866 0.7315134 0.140372989  fv Log-Normal      RP(P), Gamma    FALSE #> 13863  867 0.5339683 0.105161674  fv Log-Normal      RP(P), Gamma    FALSE #> 13879  868 0.8342745 0.157649889  fv Log-Normal      RP(P), Gamma    FALSE #> 13895  869 0.4553345 0.090508558  fv Log-Normal      RP(P), Gamma    FALSE #> 13911  870 0.7264093 0.138973381  fv Log-Normal      RP(P), Gamma    FALSE #> 13927  871 0.4569173 0.091103928  fv Log-Normal      RP(P), Gamma    FALSE #> 13943  872 0.4280552 0.086058153  fv Log-Normal      RP(P), Gamma    FALSE #> 13959  873 0.7410597 0.139690887  fv Log-Normal      RP(P), Gamma    FALSE #> 13975  874 0.6408185 0.123644052  fv Log-Normal      RP(P), Gamma    FALSE #> 13991  875 0.5388062 0.104971339  fv Log-Normal      RP(P), Gamma    FALSE #> 14007  876 0.5538235 0.108515653  fv Log-Normal      RP(P), Gamma    FALSE #> 14023  877 0.5173804 0.102558125  fv Log-Normal      RP(P), Gamma    FALSE #> 14039  878 0.6131328 0.119010688  fv Log-Normal      RP(P), Gamma    FALSE #> 14055  879 0.6097417 0.118099906  fv Log-Normal      RP(P), Gamma    FALSE #> 14071  880 0.7281233 0.137755819  fv Log-Normal      RP(P), Gamma    FALSE #> 14087  881 0.4819108 0.095257938  fv Log-Normal      RP(P), Gamma    FALSE #> 14103  882 0.6543178 0.126842054  fv Log-Normal      RP(P), Gamma    FALSE #> 14119  883 0.5607813 0.109303367  fv Log-Normal      RP(P), Gamma    FALSE #> 14135  884 0.4932391 0.097437433  fv Log-Normal      RP(P), Gamma    FALSE #> 14151  885 0.6588153 0.126232716  fv Log-Normal      RP(P), Gamma    FALSE #> 14167  886 0.5743023 0.112137457  fv Log-Normal      RP(P), Gamma    FALSE #> 14183  887 0.3462275 0.071202207  fv Log-Normal      RP(P), Gamma    FALSE #> 14199  888 0.5389566 0.105124924  fv Log-Normal      RP(P), Gamma    FALSE #> 14215  889 0.6030921 0.116845053  fv Log-Normal      RP(P), Gamma    FALSE #> 14231  890 0.6118626 0.117833825  fv Log-Normal      RP(P), Gamma    FALSE #> 14247  891 0.6524154 0.124896117  fv Log-Normal      RP(P), Gamma    FALSE #> 14263  892 0.9531941 0.178350481  fv Log-Normal      RP(P), Gamma    FALSE #> 14279  893 0.4343296 0.087215814  fv Log-Normal      RP(P), Gamma    FALSE #> 14295  894 0.5594749 0.110073852  fv Log-Normal      RP(P), Gamma    FALSE #> 14311  895 0.7014979 0.134457311  fv Log-Normal      RP(P), Gamma    FALSE #> 14327  896 0.4731205 0.093660204  fv Log-Normal      RP(P), Gamma    FALSE #> 14343  897 0.5714472 0.110989910  fv Log-Normal      RP(P), Gamma    FALSE #> 14359  898 0.6785190 0.129913470  fv Log-Normal      RP(P), Gamma    FALSE #> 14375  899 0.7737308 0.149258753  fv Log-Normal      RP(P), Gamma    FALSE #> 14391  900 0.6258468 0.120819485  fv Log-Normal      RP(P), Gamma    FALSE #> 14407  901 0.6898911 0.131170243  fv Log-Normal      RP(P), Gamma    FALSE #> 14423  902 0.7154328 0.135521156  fv Log-Normal      RP(P), Gamma    FALSE #> 14439  903 0.5104288 0.100779991  fv Log-Normal      RP(P), Gamma    FALSE #> 14455  904 0.5856834 0.113572720  fv Log-Normal      RP(P), Gamma    FALSE #> 14471  905 0.6004749 0.115324014  fv Log-Normal      RP(P), Gamma    FALSE #> 14487  906 0.6359688 0.122586572  fv Log-Normal      RP(P), Gamma    FALSE #> 14503  907 0.5900934 0.115657031  fv Log-Normal      RP(P), Gamma    FALSE #> 14519  908 0.4540465 0.090511303  fv Log-Normal      RP(P), Gamma    FALSE #> 14535  909 0.7511004 0.141521670  fv Log-Normal      RP(P), Gamma    FALSE #> 14551  910 0.5658137 0.110268564  fv Log-Normal      RP(P), Gamma    FALSE #> 14567  911 0.6072191 0.117365255  fv Log-Normal      RP(P), Gamma    FALSE #> 14583  912 0.3616722 0.073972649  fv Log-Normal      RP(P), Gamma    FALSE #> 14599  913 0.5503152 0.107431667  fv Log-Normal      RP(P), Gamma    FALSE #> 14615  914 0.7685300 0.145147343  fv Log-Normal      RP(P), Gamma    FALSE #> 14631  915 0.5856077 0.113156906  fv Log-Normal      RP(P), Gamma    FALSE #> 14647  916 0.6230510 0.119988154  fv Log-Normal      RP(P), Gamma    FALSE #> 14663  917 0.4810465 0.096021894  fv Log-Normal      RP(P), Gamma    FALSE #> 14679  918 0.5535167 0.109209013  fv Log-Normal      RP(P), Gamma    FALSE #> 14695  919 0.6199536 0.120122996  fv Log-Normal      RP(P), Gamma    FALSE #> 14711  920 0.5967302 0.115422824  fv Log-Normal      RP(P), Gamma    FALSE #> 14727  921 0.9743057 0.178872657  fv Log-Normal      RP(P), Gamma    FALSE #> 14743  922 0.5749685 0.112106133  fv Log-Normal      RP(P), Gamma    FALSE #> 14759  923 0.8627857 0.160537625  fv Log-Normal      RP(P), Gamma    FALSE #> 14775  924 0.6123826 0.118440207  fv Log-Normal      RP(P), Gamma    FALSE #> 14791  925 0.6977269 0.134168790  fv Log-Normal      RP(P), Gamma    FALSE #> 14807  926 0.7560266 0.142158465  fv Log-Normal      RP(P), Gamma    FALSE #> 14823  927 0.7244242 0.137428355  fv Log-Normal      RP(P), Gamma    FALSE #> 14839  928 0.6414165 0.123785383  fv Log-Normal      RP(P), Gamma    FALSE #> 14855  929 0.6732490 0.128390941  fv Log-Normal      RP(P), Gamma    FALSE #> 14871  930 0.5125839 0.101497596  fv Log-Normal      RP(P), Gamma    FALSE #> 14887  931 0.7127123 0.136040162  fv Log-Normal      RP(P), Gamma    FALSE #> 14903  932 0.5071163 0.100658331  fv Log-Normal      RP(P), Gamma    FALSE #> 14919  933 0.4956539 0.097351924  fv Log-Normal      RP(P), Gamma    FALSE #> 14935  934 0.6492066 0.125778769  fv Log-Normal      RP(P), Gamma    FALSE #> 14951  935 0.7579194 0.142654366  fv Log-Normal      RP(P), Gamma    FALSE #> 14967  936 0.6662641 0.128059082  fv Log-Normal      RP(P), Gamma    FALSE #> 14983  937 0.6552375 0.124704511  fv Log-Normal      RP(P), Gamma    FALSE #> 14999  938 0.6935610 0.131635443  fv Log-Normal      RP(P), Gamma    FALSE #> 15015  939 0.5076373 0.099638563  fv Log-Normal      RP(P), Gamma    FALSE #> 15031  940 0.6941711 0.133443392  fv Log-Normal      RP(P), Gamma    FALSE #> 15047  941 0.4272667 0.085962338  fv Log-Normal      RP(P), Gamma    FALSE #> 15063  942 0.7084198 0.133980596  fv Log-Normal      RP(P), Gamma    FALSE #> 15079  943 0.4592534 0.091044580  fv Log-Normal      RP(P), Gamma    FALSE #> 15095  944 0.5670107 0.110185647  fv Log-Normal      RP(P), Gamma    FALSE #> 15111  945 0.9419069 0.175234747  fv Log-Normal      RP(P), Gamma    FALSE #> 15127  946 0.7159091 0.136177032  fv Log-Normal      RP(P), Gamma    FALSE #> 15143  947 0.7179454 0.135868745  fv Log-Normal      RP(P), Gamma    FALSE #> 15159  948 0.4495258 0.091309189  fv Log-Normal      RP(P), Gamma    FALSE #> 15175  949 0.5815352 0.112460379  fv Log-Normal      RP(P), Gamma    FALSE #> 15191  950 0.6932335 0.132488165  fv Log-Normal      RP(P), Gamma    FALSE #> 15207  951 0.4666819 0.092380052  fv Log-Normal      RP(P), Gamma    FALSE #> 15223  952 0.5314269 0.103829685  fv Log-Normal      RP(P), Gamma    FALSE #> 15239  953 0.5565247 0.109149397  fv Log-Normal      RP(P), Gamma    FALSE #> 15255  954 0.7841108 0.150127737  fv Log-Normal      RP(P), Gamma    FALSE #> 15271  955 0.6303305 0.121517200  fv Log-Normal      RP(P), Gamma    FALSE #> 15287  956 0.7256964 0.136703077  fv Log-Normal      RP(P), Gamma    FALSE #> 15303  957 0.5263540 0.102902469  fv Log-Normal      RP(P), Gamma    FALSE #> 15319  958 0.5512942 0.108239740  fv Log-Normal      RP(P), Gamma    FALSE #> 15335  959 0.6362485 0.122428233  fv Log-Normal      RP(P), Gamma    FALSE #> 15351  960 0.4981004 0.097951714  fv Log-Normal      RP(P), Gamma    FALSE #> 15367  961 0.7240723 0.136822170  fv Log-Normal      RP(P), Gamma    FALSE #> 15383  962 0.6738336 0.128430099  fv Log-Normal      RP(P), Gamma    FALSE #> 15399  963 0.8590658 0.161400634  fv Log-Normal      RP(P), Gamma    FALSE #> 15415  964 0.6778286 0.131550538  fv Log-Normal      RP(P), Gamma    FALSE #> 15431  965 0.4974168 0.098176690  fv Log-Normal      RP(P), Gamma    FALSE #> 15447  966 0.8272373 0.153861102  fv Log-Normal      RP(P), Gamma    FALSE #> 15463  967 0.8021231 0.151700494  fv Log-Normal      RP(P), Gamma    FALSE #> 15479  968 0.7554846 0.144617670  fv Log-Normal      RP(P), Gamma    FALSE #> 15495  969 0.9243088 0.170805922  fv Log-Normal      RP(P), Gamma    FALSE #> 15511  970 0.7071617 0.135442111  fv Log-Normal      RP(P), Gamma    FALSE #> 15527  971 0.7640821 0.143246252  fv Log-Normal      RP(P), Gamma    FALSE #> 15543  972 0.5395954 0.105794951  fv Log-Normal      RP(P), Gamma    FALSE #> 15559  973 0.7931946 0.148915324  fv Log-Normal      RP(P), Gamma    FALSE #> 15575  974 0.8197008 0.153760685  fv Log-Normal      RP(P), Gamma    FALSE #> 15591  975 0.8907927 0.164905062  fv Log-Normal      RP(P), Gamma    FALSE #> 15607  976 0.7038651 0.135980149  fv Log-Normal      RP(P), Gamma    FALSE #> 15623  977 0.9187497 0.170234899  fv Log-Normal      RP(P), Gamma    FALSE #> 15639  978 0.7007673 0.133951052  fv Log-Normal      RP(P), Gamma    FALSE #> 15655  979 0.5554255 0.108409573  fv Log-Normal      RP(P), Gamma    FALSE #> 15671  980 0.6745765 0.129438354  fv Log-Normal      RP(P), Gamma    FALSE #> 15687  981 0.5670618 0.109771497  fv Log-Normal      RP(P), Gamma    FALSE #> 15703  982 0.5361854 0.104634937  fv Log-Normal      RP(P), Gamma    FALSE #> 15719  983 0.6498347 0.124437335  fv Log-Normal      RP(P), Gamma    FALSE #> 15735  984 0.6185397 0.120212982  fv Log-Normal      RP(P), Gamma    FALSE #> 15751  985 0.7716535 0.145635881  fv Log-Normal      RP(P), Gamma    FALSE #> 15767  986 0.6954360 0.133693819  fv Log-Normal      RP(P), Gamma    FALSE #> 15783  987 0.6610757 0.128995735  fv Log-Normal      RP(P), Gamma    FALSE #> 15799  988 0.7090702 0.134191221  fv Log-Normal      RP(P), Gamma    FALSE #> 15815  989 0.7499270 0.140913712  fv Log-Normal      RP(P), Gamma    FALSE #> 15831  990 0.6791009 0.130402853  fv Log-Normal      RP(P), Gamma    FALSE #> 15847  991 0.7486170 0.141785330  fv Log-Normal      RP(P), Gamma    FALSE #> 15863  992 0.6478979 0.124552181  fv Log-Normal      RP(P), Gamma    FALSE #> 15879  993 0.6378838 0.121975666  fv Log-Normal      RP(P), Gamma    FALSE #> 15895  994 0.6296675 0.123056122  fv Log-Normal      RP(P), Gamma    FALSE #> 15911  995 0.5297010 0.103909524  fv Log-Normal      RP(P), Gamma    FALSE #> 15927  996 0.6733473 0.130527337  fv Log-Normal      RP(P), Gamma    FALSE #> 15943  997 0.5759983 0.111233442  fv Log-Normal      RP(P), Gamma    FALSE #> 15959  998 0.5520605 0.108023635  fv Log-Normal      RP(P), Gamma    FALSE #> 15975  999 0.6755070 0.129234930  fv Log-Normal      RP(P), Gamma    FALSE #> 15991 1000 0.5820900 0.112838328  fv Log-Normal      RP(P), Gamma    FALSE #> 8        1 0.7587269 0.160310074  fv Log-Normal RP(P), Log-Normal    FALSE #> 24       2 0.6427095 0.136481613  fv Log-Normal RP(P), Log-Normal    FALSE #> 40       3 0.8272743 0.174133172  fv Log-Normal RP(P), Log-Normal    FALSE #> 56       4 0.6154492 0.132224678  fv Log-Normal RP(P), Log-Normal    FALSE #> 72       5 1.0040595 0.212010663  fv Log-Normal RP(P), Log-Normal    FALSE #> 88       6 0.8839655 0.187498893  fv Log-Normal RP(P), Log-Normal    FALSE #> 104      7 0.5927076 0.126010284  fv Log-Normal RP(P), Log-Normal    FALSE #> 120      8 0.8303076 0.176094173  fv Log-Normal RP(P), Log-Normal    FALSE #> 136      9 0.7248036 0.153480938  fv Log-Normal RP(P), Log-Normal    FALSE #> 152     10 1.0116901 0.215026028  fv Log-Normal RP(P), Log-Normal    FALSE #> 168     11 0.9163779 0.192812176  fv Log-Normal RP(P), Log-Normal    FALSE #> 184     12 0.5531775 0.117536667  fv Log-Normal RP(P), Log-Normal    FALSE #> 200     13 0.8309998 0.174965974  fv Log-Normal RP(P), Log-Normal    FALSE #> 216     14 0.8142702 0.172262423  fv Log-Normal RP(P), Log-Normal    FALSE #> 232     15 0.7403548 0.157621039  fv Log-Normal RP(P), Log-Normal    FALSE #> 248     16 0.5815212 0.124702775  fv Log-Normal RP(P), Log-Normal    FALSE #> 264     17 0.6448992 0.136415060  fv Log-Normal RP(P), Log-Normal    FALSE #> 280     18 0.8723504 0.185445247  fv Log-Normal RP(P), Log-Normal    FALSE #> 296     19 0.9424444 0.197979689  fv Log-Normal RP(P), Log-Normal    FALSE #> 312     20 0.6112837 0.130269558  fv Log-Normal RP(P), Log-Normal    FALSE #> 328     21 0.7055255 0.150812066  fv Log-Normal RP(P), Log-Normal    FALSE #> 344     22 0.6008341 0.128261543  fv Log-Normal RP(P), Log-Normal    FALSE #> 360     23 0.8761728 0.183388185  fv Log-Normal RP(P), Log-Normal    FALSE #> 376     24 0.8105771 0.171983797  fv Log-Normal RP(P), Log-Normal    FALSE #> 392     25 0.6233797 0.132823464  fv Log-Normal RP(P), Log-Normal    FALSE #> 408     26 0.7552494 0.159767947  fv Log-Normal RP(P), Log-Normal    FALSE #> 424     27 0.5365736 0.118347519  fv Log-Normal RP(P), Log-Normal    FALSE #> 440     28 0.7291543 0.155121274  fv Log-Normal RP(P), Log-Normal    FALSE #> 456     29 1.0757698 0.224219202  fv Log-Normal RP(P), Log-Normal    FALSE #> 472     30 0.7238761 0.156782077  fv Log-Normal RP(P), Log-Normal    FALSE #> 488     31 0.5599923 0.120185524  fv Log-Normal RP(P), Log-Normal    FALSE #> 504     32 0.5305952 0.112891465  fv Log-Normal RP(P), Log-Normal    FALSE #> 520     33 0.7705200 0.164509859  fv Log-Normal RP(P), Log-Normal    FALSE #> 536     34 0.9181142 0.193544815  fv Log-Normal RP(P), Log-Normal    FALSE #> 552     35 0.5262293 0.112984685  fv Log-Normal RP(P), Log-Normal    FALSE #> 568     36 0.5191213 0.111910048  fv Log-Normal RP(P), Log-Normal    FALSE #> 584     37 0.7019126 0.149573895  fv Log-Normal RP(P), Log-Normal    FALSE #> 600     38 0.6378678 0.135525656  fv Log-Normal RP(P), Log-Normal    FALSE #> 616     39 0.8017794 0.170404386  fv Log-Normal RP(P), Log-Normal    FALSE #> 632     40 0.5714472 0.121859157  fv Log-Normal RP(P), Log-Normal    FALSE #> 648     41 0.8335074 0.177134554  fv Log-Normal RP(P), Log-Normal    FALSE #> 664     42 0.5632683 0.120257577  fv Log-Normal RP(P), Log-Normal    FALSE #> 680     43 0.5641544 0.122123217  fv Log-Normal RP(P), Log-Normal    FALSE #> 696     44 0.7949684 0.169464289  fv Log-Normal RP(P), Log-Normal    FALSE #> 712     45 0.6326050 0.134725078  fv Log-Normal RP(P), Log-Normal    FALSE #> 728     46 0.3403314 0.074346940  fv Log-Normal RP(P), Log-Normal    FALSE #> 744     47 0.9563960 0.202431253  fv Log-Normal RP(P), Log-Normal    FALSE #> 760     48 0.8868588 0.187192828  fv Log-Normal RP(P), Log-Normal    FALSE #> 776     49 0.9689607 0.202879027  fv Log-Normal RP(P), Log-Normal    FALSE #> 792     50 0.6034856 0.129155376  fv Log-Normal RP(P), Log-Normal    FALSE #> 808     51 0.8875662 0.188455833  fv Log-Normal RP(P), Log-Normal    FALSE #> 824     52 0.5304852 0.114409866  fv Log-Normal RP(P), Log-Normal    FALSE #> 840     53 0.9347285 0.195611763  fv Log-Normal RP(P), Log-Normal    FALSE #> 856     54 0.7253010 0.153848983  fv Log-Normal RP(P), Log-Normal    FALSE #> 872     55 0.9365095 0.197246816  fv Log-Normal RP(P), Log-Normal    FALSE #> 888     56 0.7698460 0.161108352  fv Log-Normal RP(P), Log-Normal    FALSE #> 904     57 0.9240850 0.195363045  fv Log-Normal RP(P), Log-Normal    FALSE #> 920     58 0.7679395 0.161928888  fv Log-Normal RP(P), Log-Normal    FALSE #> 936     59 0.7182305 0.151499862  fv Log-Normal RP(P), Log-Normal    FALSE #> 952     60 1.0058746 0.216721875  fv Log-Normal RP(P), Log-Normal    FALSE #> 968     61 0.7566231 0.160366843  fv Log-Normal RP(P), Log-Normal    FALSE #> 984     62 0.6235933 0.132341918  fv Log-Normal RP(P), Log-Normal    FALSE #> 1000    63 0.8330331 0.174751715  fv Log-Normal RP(P), Log-Normal    FALSE #> 1016    64 0.7372343 0.154560392  fv Log-Normal RP(P), Log-Normal    FALSE #> 1032    65 0.9324597 0.196214421  fv Log-Normal RP(P), Log-Normal    FALSE #> 1048    66 0.6556111 0.140836763  fv Log-Normal RP(P), Log-Normal    FALSE #> 1064    67 0.6283832 0.133766573  fv Log-Normal RP(P), Log-Normal    FALSE #> 1080    68 0.5259450 0.113787629  fv Log-Normal RP(P), Log-Normal    FALSE #> 1096    69 0.8150040 0.171983367  fv Log-Normal RP(P), Log-Normal    FALSE #> 1112    70 0.7752526 0.163616805  fv Log-Normal RP(P), Log-Normal    FALSE #> 1128    71 1.0256382 0.217584719  fv Log-Normal RP(P), Log-Normal    FALSE #> 1144    72 0.6090315 0.129986511  fv Log-Normal RP(P), Log-Normal    FALSE #> 1160    73 0.7378555 0.157540359  fv Log-Normal RP(P), Log-Normal    FALSE #> 1176    74 0.4266073 0.091598299  fv Log-Normal RP(P), Log-Normal    FALSE #> 1192    75 0.7264828 0.153774539  fv Log-Normal RP(P), Log-Normal    FALSE #> 1208    76 0.6558995 0.140177692  fv Log-Normal RP(P), Log-Normal    FALSE #> 1224    77 0.8527293 0.179762381  fv Log-Normal RP(P), Log-Normal    FALSE #> 1240    78 0.7870716 0.165681047  fv Log-Normal RP(P), Log-Normal    FALSE #> 1256    79 1.0961721 0.229344262  fv Log-Normal RP(P), Log-Normal    FALSE #> 1272    80 0.5928102 0.126126879  fv Log-Normal RP(P), Log-Normal    FALSE #> 1288    81 1.0116718 0.212214328  fv Log-Normal RP(P), Log-Normal    FALSE #> 1304    82 0.6932804 0.146529625  fv Log-Normal RP(P), Log-Normal    FALSE #> 1320    83 0.8128450 0.173169547  fv Log-Normal RP(P), Log-Normal    FALSE #> 1336    84 0.6546543 0.140338914  fv Log-Normal RP(P), Log-Normal    FALSE #> 1352    85 0.6580420 0.139756530  fv Log-Normal RP(P), Log-Normal    FALSE #> 1368    86 0.5651574 0.120395675  fv Log-Normal RP(P), Log-Normal    FALSE #> 1384    87 0.7739794 0.164331266  fv Log-Normal RP(P), Log-Normal    FALSE #> 1400    88 0.7745832 0.167238556  fv Log-Normal RP(P), Log-Normal    FALSE #> 1416    89 1.0368143 0.217170812  fv Log-Normal RP(P), Log-Normal    FALSE #> 1432    90 0.8166873 0.170720378  fv Log-Normal RP(P), Log-Normal    FALSE #> 1448    91 0.9071331 0.190130518  fv Log-Normal RP(P), Log-Normal    FALSE #> 1464    92 0.8923346 0.189677791  fv Log-Normal RP(P), Log-Normal    FALSE #> 1480    93 0.6132879 0.130286551  fv Log-Normal RP(P), Log-Normal    FALSE #> 1496    94 0.8505242 0.181240095  fv Log-Normal RP(P), Log-Normal    FALSE #> 1512    95 0.6782855 0.143566528  fv Log-Normal RP(P), Log-Normal    FALSE #> 1528    96 0.5793421 0.124444915  fv Log-Normal RP(P), Log-Normal    FALSE #> 1544    97 0.8184744 0.172217358  fv Log-Normal RP(P), Log-Normal    FALSE #> 1560    98 0.4638964 0.100253533  fv Log-Normal RP(P), Log-Normal    FALSE #> 1576    99 0.9303806 0.199727243  fv Log-Normal RP(P), Log-Normal    FALSE #> 1592   100 0.6869339 0.148166559  fv Log-Normal RP(P), Log-Normal    FALSE #> 1608   101 0.6467181 0.136969509  fv Log-Normal RP(P), Log-Normal    FALSE #> 1624   102 0.4957626 0.105808839  fv Log-Normal RP(P), Log-Normal    FALSE #> 1640   103 0.7884881 0.166125050  fv Log-Normal RP(P), Log-Normal    FALSE #> 1656   104 0.7369302 0.156103668  fv Log-Normal RP(P), Log-Normal    FALSE #> 1672   105 0.4680770 0.100530696  fv Log-Normal RP(P), Log-Normal    FALSE #> 1688   106 0.6814912 0.146176406  fv Log-Normal RP(P), Log-Normal    FALSE #> 1704   107 0.8653450 0.182292080  fv Log-Normal RP(P), Log-Normal    FALSE #> 1720   108 0.7160621 0.153662080  fv Log-Normal RP(P), Log-Normal    FALSE #> 1736   109 0.9318352 0.195104641  fv Log-Normal RP(P), Log-Normal    FALSE #> 1752   110 0.9333831 0.197785385  fv Log-Normal RP(P), Log-Normal    FALSE #> 1768   111 0.6395728 0.135269065  fv Log-Normal RP(P), Log-Normal    FALSE #> 1784   112 0.7016627 0.147545888  fv Log-Normal RP(P), Log-Normal    FALSE #> 1800   113 0.8576238 0.179983637  fv Log-Normal RP(P), Log-Normal    FALSE #> 1816   114 0.6710954 0.142328711  fv Log-Normal RP(P), Log-Normal    FALSE #> 1832   115 0.7820406 0.166205449  fv Log-Normal RP(P), Log-Normal    FALSE #> 1848   116 0.7939534 0.167711038  fv Log-Normal RP(P), Log-Normal    FALSE #> 1864   117 0.8430940 0.176684051  fv Log-Normal RP(P), Log-Normal    FALSE #> 1880   118 0.6212618 0.132330606  fv Log-Normal RP(P), Log-Normal    FALSE #> 1896   119 0.5727404 0.121504334  fv Log-Normal RP(P), Log-Normal    FALSE #> 1912   120 0.8243130 0.174444030  fv Log-Normal RP(P), Log-Normal    FALSE #> 1928   121 0.7202072 0.152475354  fv Log-Normal RP(P), Log-Normal    FALSE #> 1944   122 0.5561335 0.119749873  fv Log-Normal RP(P), Log-Normal    FALSE #> 1960   123 0.5294622 0.113195261  fv Log-Normal RP(P), Log-Normal    FALSE #> 1976   124 0.5606144 0.119830783  fv Log-Normal RP(P), Log-Normal    FALSE #> 1992   125 0.5467464 0.117088993  fv Log-Normal RP(P), Log-Normal    FALSE #> 2008   126 1.2215715 0.256569950  fv Log-Normal RP(P), Log-Normal     TRUE #> 2024   127 0.5218994 0.113209374  fv Log-Normal RP(P), Log-Normal    FALSE #> 2040   128 0.5216607 0.111937164  fv Log-Normal RP(P), Log-Normal    FALSE #> 2056   129 0.7174736 0.154534528  fv Log-Normal RP(P), Log-Normal    FALSE #> 2072   130 0.5770054 0.123890286  fv Log-Normal RP(P), Log-Normal    FALSE #> 2088   131 0.6689280 0.142266715  fv Log-Normal RP(P), Log-Normal    FALSE #> 2104   132 0.7957550 0.170120599  fv Log-Normal RP(P), Log-Normal    FALSE #> 2120   133 0.9412438 0.196855270  fv Log-Normal RP(P), Log-Normal    FALSE #> 2136   134 1.0838532 0.226912038  fv Log-Normal RP(P), Log-Normal    FALSE #> 2152   135 0.6648603 0.140092983  fv Log-Normal RP(P), Log-Normal    FALSE #> 2168   136 0.5492014 0.117363787  fv Log-Normal RP(P), Log-Normal    FALSE #> 2184   137 0.5291266 0.115402392  fv Log-Normal RP(P), Log-Normal    FALSE #> 2200   138 0.5264330 0.112494837  fv Log-Normal RP(P), Log-Normal    FALSE #> 2216   139 0.7533269 0.160159857  fv Log-Normal RP(P), Log-Normal    FALSE #> 2232   140 0.8110847 0.171158128  fv Log-Normal RP(P), Log-Normal    FALSE #> 2248   141 0.4367489 0.094597121  fv Log-Normal RP(P), Log-Normal    FALSE #> 2264   142 0.4940670 0.106169645  fv Log-Normal RP(P), Log-Normal    FALSE #> 2280   143 0.5794493 0.122951278  fv Log-Normal RP(P), Log-Normal    FALSE #> 2296   144 0.6778027 0.143521271  fv Log-Normal RP(P), Log-Normal    FALSE #> 2312   145 0.5837892 0.125941371  fv Log-Normal RP(P), Log-Normal    FALSE #> 2328   146 0.7325227 0.154220307  fv Log-Normal RP(P), Log-Normal    FALSE #> 2344   147 0.6357226 0.135958395  fv Log-Normal RP(P), Log-Normal    FALSE #> 2360   148 0.5487951 0.117138970  fv Log-Normal RP(P), Log-Normal    FALSE #> 2376   149 0.4091531 0.089138976  fv Log-Normal RP(P), Log-Normal    FALSE #> 2392   150 0.5623525 0.119787569  fv Log-Normal RP(P), Log-Normal    FALSE #> 2408   151 0.9870081 0.207968406  fv Log-Normal RP(P), Log-Normal    FALSE #> 2424   152 0.7257533 0.155576929  fv Log-Normal RP(P), Log-Normal    FALSE #> 2440   153 0.7938888 0.166001332  fv Log-Normal RP(P), Log-Normal    FALSE #> 2456   154 0.7543676 0.159096926  fv Log-Normal RP(P), Log-Normal    FALSE #> 2472   155 1.0111457 0.212971620  fv Log-Normal RP(P), Log-Normal    FALSE #> 2488   156 0.6544524 0.141043356  fv Log-Normal RP(P), Log-Normal    FALSE #> 2504   157 0.6432003 0.138898907  fv Log-Normal RP(P), Log-Normal    FALSE #> 2520   158 0.6411141 0.135716820  fv Log-Normal RP(P), Log-Normal    FALSE #> 2536   159 0.8229442 0.176716197  fv Log-Normal RP(P), Log-Normal    FALSE #> 2552   160 0.8120361 0.174187032  fv Log-Normal RP(P), Log-Normal    FALSE #> 2568   161 0.9019813 0.188117850  fv Log-Normal RP(P), Log-Normal    FALSE #> 2584   162 1.0499623 0.220400899  fv Log-Normal RP(P), Log-Normal    FALSE #> 2600   163 0.6371458 0.137262190  fv Log-Normal RP(P), Log-Normal    FALSE #> 2616   164 0.6859633 0.145451105  fv Log-Normal RP(P), Log-Normal    FALSE #> 2632   165 0.5519135 0.117940756  fv Log-Normal RP(P), Log-Normal    FALSE #> 2648   166 0.4479469 0.095793295  fv Log-Normal RP(P), Log-Normal    FALSE #> 2664   167 0.7613875 0.161975639  fv Log-Normal RP(P), Log-Normal    FALSE #> 2680   168 0.8959044 0.188861131  fv Log-Normal RP(P), Log-Normal    FALSE #> 2696   169 0.6531845 0.138023079  fv Log-Normal RP(P), Log-Normal    FALSE #> 2712   170 0.7664620 0.162066953  fv Log-Normal RP(P), Log-Normal    FALSE #> 2728   171 0.8455567 0.178186955  fv Log-Normal RP(P), Log-Normal    FALSE #> 2744   172 0.7766548 0.164499182  fv Log-Normal RP(P), Log-Normal    FALSE #> 2760   173 0.7349752 0.154532530  fv Log-Normal RP(P), Log-Normal    FALSE #> 2776   174 0.6099624 0.129739699  fv Log-Normal RP(P), Log-Normal    FALSE #> 2792   175 0.8046287 0.169421952  fv Log-Normal RP(P), Log-Normal    FALSE #> 2808   176 1.0156282 0.214174421  fv Log-Normal RP(P), Log-Normal    FALSE #> 2824   177 0.8256876 0.175175875  fv Log-Normal RP(P), Log-Normal    FALSE #> 2840   178 0.5414903 0.116046912  fv Log-Normal RP(P), Log-Normal    FALSE #> 2856   179 0.9627749 0.202015293  fv Log-Normal RP(P), Log-Normal    FALSE #> 2872   180 0.5801914 0.124401399  fv Log-Normal RP(P), Log-Normal    FALSE #> 2888   181 0.7554494 0.159701514  fv Log-Normal RP(P), Log-Normal    FALSE #> 2904   182 1.2537245 0.262312759  fv Log-Normal RP(P), Log-Normal     TRUE #> 2920   183 0.7659203 0.165867012  fv Log-Normal RP(P), Log-Normal    FALSE #> 2936   184 0.9738310 0.203471702  fv Log-Normal RP(P), Log-Normal    FALSE #> 2952   185 0.8121692 0.171028940  fv Log-Normal RP(P), Log-Normal    FALSE #> 2968   186 0.7982599 0.168832783  fv Log-Normal RP(P), Log-Normal    FALSE #> 2984   187 0.6883828 0.145342853  fv Log-Normal RP(P), Log-Normal    FALSE #> 3000   188 0.8374741 0.176193562  fv Log-Normal RP(P), Log-Normal    FALSE #> 3016   189 0.6993496 0.147808847  fv Log-Normal RP(P), Log-Normal    FALSE #> 3032   190 0.8064399 0.170804825  fv Log-Normal RP(P), Log-Normal    FALSE #> 3048   191 0.8008227 0.173861583  fv Log-Normal RP(P), Log-Normal    FALSE #> 3064   192 0.6525505 0.137788950  fv Log-Normal RP(P), Log-Normal    FALSE #> 3080   193 0.7916083 0.170491952  fv Log-Normal RP(P), Log-Normal    FALSE #> 3096   194 0.9988075 0.209353233  fv Log-Normal RP(P), Log-Normal    FALSE #> 3112   195 0.5880564 0.124916660  fv Log-Normal RP(P), Log-Normal    FALSE #> 3128   196 0.6367192 0.135928623  fv Log-Normal RP(P), Log-Normal    FALSE #> 3144   197 0.6587380 0.139314113  fv Log-Normal RP(P), Log-Normal    FALSE #> 3160   198 0.7988690 0.168411544  fv Log-Normal RP(P), Log-Normal    FALSE #> 3176   199 0.5340730 0.114133322  fv Log-Normal RP(P), Log-Normal    FALSE #> 3192   200 0.6108400 0.131066750  fv Log-Normal RP(P), Log-Normal    FALSE #> 3208   201 0.8908497 0.188126967  fv Log-Normal RP(P), Log-Normal    FALSE #> 3224   202 0.7243823 0.152769551  fv Log-Normal RP(P), Log-Normal    FALSE #> 3240   203 0.6371139 0.135630072  fv Log-Normal RP(P), Log-Normal    FALSE #> 3256   204 0.6812425 0.144876357  fv Log-Normal RP(P), Log-Normal    FALSE #> 3272   205 0.6640707 0.142647914  fv Log-Normal RP(P), Log-Normal    FALSE #> 3288   206 0.7955822 0.169584226  fv Log-Normal RP(P), Log-Normal    FALSE #> 3304   207 0.8122343 0.171305716  fv Log-Normal RP(P), Log-Normal    FALSE #> 3320   208 1.0716857 0.225174141  fv Log-Normal RP(P), Log-Normal    FALSE #> 3336   209 0.6729434 0.145634249  fv Log-Normal RP(P), Log-Normal    FALSE #> 3352   210 0.7233139 0.155217656  fv Log-Normal RP(P), Log-Normal    FALSE #> 3368   211 0.8224261 0.173753257  fv Log-Normal RP(P), Log-Normal    FALSE #> 3384   212 0.8106002 0.171929743  fv Log-Normal RP(P), Log-Normal    FALSE #> 3400   213 0.6209349 0.132488452  fv Log-Normal RP(P), Log-Normal    FALSE #> 3416   214 0.6651939 0.141701897  fv Log-Normal RP(P), Log-Normal    FALSE #> 3432   215 0.6681925 0.142692548  fv Log-Normal RP(P), Log-Normal    FALSE #> 3448   216 0.9718383 0.203611298  fv Log-Normal RP(P), Log-Normal    FALSE #> 3464   217 0.7615306 0.161592701  fv Log-Normal RP(P), Log-Normal    FALSE #> 3480   218 0.5932685 0.126182039  fv Log-Normal RP(P), Log-Normal    FALSE #> 3496   219 0.8440250 0.177280275  fv Log-Normal RP(P), Log-Normal    FALSE #> 3512   220 0.9111737 0.193577494  fv Log-Normal RP(P), Log-Normal    FALSE #> 3528   221 0.6454833 0.139083353  fv Log-Normal RP(P), Log-Normal    FALSE #> 3544   222 0.3710342 0.081236086  fv Log-Normal RP(P), Log-Normal    FALSE #> 3560   223 0.5463579 0.116226442  fv Log-Normal RP(P), Log-Normal    FALSE #> 3576   224 0.5958494 0.127390309  fv Log-Normal RP(P), Log-Normal    FALSE #> 3592   225 0.8256615 0.173178721  fv Log-Normal RP(P), Log-Normal    FALSE #> 3608   226 1.0751549 0.225902510  fv Log-Normal RP(P), Log-Normal    FALSE #> 3624   227 0.7671138 0.162589102  fv Log-Normal RP(P), Log-Normal    FALSE #> 3640   228 0.8685262 0.182915069  fv Log-Normal RP(P), Log-Normal    FALSE #> 3656   229 0.4077865 0.089309434  fv Log-Normal RP(P), Log-Normal    FALSE #> 3672   230 0.6142203 0.130122245  fv Log-Normal RP(P), Log-Normal    FALSE #> 3688   231 0.6568914 0.139096135  fv Log-Normal RP(P), Log-Normal    FALSE #> 3704   232 0.9518400 0.200405291  fv Log-Normal RP(P), Log-Normal    FALSE #> 3720   233 0.9620535 0.203495174  fv Log-Normal RP(P), Log-Normal    FALSE #> 3736   234 0.9386042 0.197203991  fv Log-Normal RP(P), Log-Normal    FALSE #> 3752   235 0.5533993 0.117867348  fv Log-Normal RP(P), Log-Normal    FALSE #> 3768   236 0.6340348 0.134447642  fv Log-Normal RP(P), Log-Normal    FALSE #> 3784   237 0.5453294 0.115930957  fv Log-Normal RP(P), Log-Normal    FALSE #> 3800   238 0.8944895 0.191484666  fv Log-Normal RP(P), Log-Normal    FALSE #> 3816   239 0.9288279 0.195513931  fv Log-Normal RP(P), Log-Normal    FALSE #> 3832   240 0.6350098 0.135823593  fv Log-Normal RP(P), Log-Normal    FALSE #> 3848   241 0.7685612 0.163948020  fv Log-Normal RP(P), Log-Normal    FALSE #> 3864   242 0.5467803 0.117102138  fv Log-Normal RP(P), Log-Normal    FALSE #> 3880   243 0.6730960 0.142931552  fv Log-Normal RP(P), Log-Normal    FALSE #> 3896   244 0.6142116 0.131941975  fv Log-Normal RP(P), Log-Normal    FALSE #> 3912   245 0.5020462 0.109122006  fv Log-Normal RP(P), Log-Normal    FALSE #> 3928   246 0.7921927 0.168021380  fv Log-Normal RP(P), Log-Normal    FALSE #> 3944   247 0.6592181 0.139530433  fv Log-Normal RP(P), Log-Normal    FALSE #> 3960   248 1.1777612 0.254244197  fv Log-Normal RP(P), Log-Normal     TRUE #> 3976   249 0.5943575 0.127544821  fv Log-Normal RP(P), Log-Normal    FALSE #> 3992   250 0.7502168 0.158141093  fv Log-Normal RP(P), Log-Normal    FALSE #> 4008   251 0.6268527 0.133734241  fv Log-Normal RP(P), Log-Normal    FALSE #> 4024   252 0.4776854 0.102284469  fv Log-Normal RP(P), Log-Normal    FALSE #> 4040   253 0.8681536 0.183500004  fv Log-Normal RP(P), Log-Normal    FALSE #> 4056   254 0.7439174 0.156041861  fv Log-Normal RP(P), Log-Normal    FALSE #> 4072   255 0.9441697 0.201330530  fv Log-Normal RP(P), Log-Normal    FALSE #> 4088   256 0.8607312 0.182317109  fv Log-Normal RP(P), Log-Normal    FALSE #> 4104   257 0.8369787 0.175261357  fv Log-Normal RP(P), Log-Normal    FALSE #> 4120   258 0.4171869 0.089856660  fv Log-Normal RP(P), Log-Normal    FALSE #> 4136   259 0.6676815 0.141483812  fv Log-Normal RP(P), Log-Normal    FALSE #> 4152   260 0.6884486 0.147931703  fv Log-Normal RP(P), Log-Normal    FALSE #> 4168   261 0.8876474 0.187002433  fv Log-Normal RP(P), Log-Normal    FALSE #> 4184   262 0.6886344 0.145893409  fv Log-Normal RP(P), Log-Normal    FALSE #> 4200   263 0.8769823 0.186762641  fv Log-Normal RP(P), Log-Normal    FALSE #> 4216   264 0.7973775 0.168952281  fv Log-Normal RP(P), Log-Normal    FALSE #> 4232   265 0.6224204 0.131746513  fv Log-Normal RP(P), Log-Normal    FALSE #> 4248   266 0.6649661 0.143208152  fv Log-Normal RP(P), Log-Normal    FALSE #> 4264   267 0.6170590 0.130985777  fv Log-Normal RP(P), Log-Normal    FALSE #> 4280   268 0.9638015 0.201609273  fv Log-Normal RP(P), Log-Normal    FALSE #> 4296   269 0.6192713 0.132297670  fv Log-Normal RP(P), Log-Normal    FALSE #> 4312   270 0.6272993 0.133300944  fv Log-Normal RP(P), Log-Normal    FALSE #> 4328   271 0.7800909 0.164123810  fv Log-Normal RP(P), Log-Normal    FALSE #> 4344   272 0.5661606 0.121060836  fv Log-Normal RP(P), Log-Normal    FALSE #> 4360   273 0.7588228 0.161878411  fv Log-Normal RP(P), Log-Normal    FALSE #> 4376   274 0.7671855 0.161327099  fv Log-Normal RP(P), Log-Normal    FALSE #> 4392   275 0.6394525 0.136719057  fv Log-Normal RP(P), Log-Normal    FALSE #> 4408   276 0.7903120 0.166291219  fv Log-Normal RP(P), Log-Normal    FALSE #> 4424   277 0.7234781 0.152518392  fv Log-Normal RP(P), Log-Normal    FALSE #> 4440   278 0.6278358 0.135101300  fv Log-Normal RP(P), Log-Normal    FALSE #> 4456   279 0.8158385 0.171062766  fv Log-Normal RP(P), Log-Normal    FALSE #> 4472   280 0.8400655 0.178662425  fv Log-Normal RP(P), Log-Normal    FALSE #> 4488   281 0.7252124 0.152822320  fv Log-Normal RP(P), Log-Normal    FALSE #> 4504   282 0.6556109 0.140682373  fv Log-Normal RP(P), Log-Normal    FALSE #> 4520   283 0.8872840 0.188990041  fv Log-Normal RP(P), Log-Normal    FALSE #> 4536   284 0.6237917 0.133109411  fv Log-Normal RP(P), Log-Normal    FALSE #> 4552   285 0.7104471 0.150620789  fv Log-Normal RP(P), Log-Normal    FALSE #> 4568   286 0.7010266 0.148553607  fv Log-Normal RP(P), Log-Normal    FALSE #> 4584   287 0.5983036 0.127533893  fv Log-Normal RP(P), Log-Normal    FALSE #> 4600   288 0.6194319 0.132300120  fv Log-Normal RP(P), Log-Normal    FALSE #> 4616   289 0.6953902 0.147668888  fv Log-Normal RP(P), Log-Normal    FALSE #> 4632   290 0.6789570 0.143987778  fv Log-Normal RP(P), Log-Normal    FALSE #> 4648   291 0.7671789 0.162019778  fv Log-Normal RP(P), Log-Normal    FALSE #> 4664   292 0.6671205 0.145690555  fv Log-Normal RP(P), Log-Normal    FALSE #> 4680   293 0.6823554 0.144154584  fv Log-Normal RP(P), Log-Normal    FALSE #> 4696   294 0.7332624 0.154464681  fv Log-Normal RP(P), Log-Normal    FALSE #> 4712   295 0.6404999 0.135858256  fv Log-Normal RP(P), Log-Normal    FALSE #> 4728   296 0.8064440 0.169134786  fv Log-Normal RP(P), Log-Normal    FALSE #> 4744   297 0.4154099 0.089707885  fv Log-Normal RP(P), Log-Normal    FALSE #> 4760   298 0.7001526 0.148958370  fv Log-Normal RP(P), Log-Normal    FALSE #> 4776   299 0.7901542 0.166005499  fv Log-Normal RP(P), Log-Normal    FALSE #> 4792   300 0.6383931 0.135316588  fv Log-Normal RP(P), Log-Normal    FALSE #> 4808   301 1.0797894 0.226631922  fv Log-Normal RP(P), Log-Normal    FALSE #> 4824   302 0.7333982 0.154129270  fv Log-Normal RP(P), Log-Normal    FALSE #> 4840   303 0.6448902 0.136135374  fv Log-Normal RP(P), Log-Normal    FALSE #> 4856   304 0.6874369 0.145600025  fv Log-Normal RP(P), Log-Normal    FALSE #> 4872   305 0.8473673 0.180072933  fv Log-Normal RP(P), Log-Normal    FALSE #> 4888   306 0.5855319 0.124660389  fv Log-Normal RP(P), Log-Normal    FALSE #> 4904   307 0.6260604 0.133351831  fv Log-Normal RP(P), Log-Normal    FALSE #> 4920   308 0.7265619 0.155227234  fv Log-Normal RP(P), Log-Normal    FALSE #> 4936   309 0.6165858 0.131736323  fv Log-Normal RP(P), Log-Normal    FALSE #> 4952   310 0.6669932 0.143636364  fv Log-Normal RP(P), Log-Normal    FALSE #> 4968   311 0.8948024 0.187518922  fv Log-Normal RP(P), Log-Normal    FALSE #> 4984   312 0.7340584 0.156045396  fv Log-Normal RP(P), Log-Normal    FALSE #> 5000   313 0.5098630 0.110514496  fv Log-Normal RP(P), Log-Normal    FALSE #> 5016   314 0.7006581 0.149757043  fv Log-Normal RP(P), Log-Normal    FALSE #> 5032   315 0.6800828 0.144554310  fv Log-Normal RP(P), Log-Normal    FALSE #> 5048   316 0.5944615 0.126393843  fv Log-Normal RP(P), Log-Normal    FALSE #> 5064   317 0.8636833 0.180934577  fv Log-Normal RP(P), Log-Normal    FALSE #> 5080   318 0.5483091 0.116304349  fv Log-Normal RP(P), Log-Normal    FALSE #> 5096   319 0.7523237 0.160342794  fv Log-Normal RP(P), Log-Normal    FALSE #> 5112   320 0.8391743 0.176178376  fv Log-Normal RP(P), Log-Normal    FALSE #> 5128   321 0.9163775 0.194154288  fv Log-Normal RP(P), Log-Normal    FALSE #> 5144   322 0.5894324 0.127298736  fv Log-Normal RP(P), Log-Normal    FALSE #> 5160   323 0.8114798 0.171935681  fv Log-Normal RP(P), Log-Normal    FALSE #> 5176   324 0.5338577 0.114284662  fv Log-Normal RP(P), Log-Normal    FALSE #> 5192   325 0.6217815 0.132298631  fv Log-Normal RP(P), Log-Normal    FALSE #> 5208   326 1.0836512 0.235917887  fv Log-Normal RP(P), Log-Normal    FALSE #> 5224   327 0.5334750 0.115076500  fv Log-Normal RP(P), Log-Normal    FALSE #> 5240   328 0.7989732 0.169468715  fv Log-Normal RP(P), Log-Normal    FALSE #> 5256   329 0.6360385 0.134479974  fv Log-Normal RP(P), Log-Normal    FALSE #> 5272   330 0.5875593 0.128101031  fv Log-Normal RP(P), Log-Normal    FALSE #> 5288   331 0.9377907 0.197762013  fv Log-Normal RP(P), Log-Normal    FALSE #> 5304   332 0.6885284 0.145055687  fv Log-Normal RP(P), Log-Normal    FALSE #> 5320   333 0.5064415 0.108148237  fv Log-Normal RP(P), Log-Normal    FALSE #> 5336   334 0.5541498 0.118443759  fv Log-Normal RP(P), Log-Normal    FALSE #> 5352   335 0.5482213 0.116736851  fv Log-Normal RP(P), Log-Normal    FALSE #> 5368   336 0.7934025 0.166004228  fv Log-Normal RP(P), Log-Normal    FALSE #> 5384   337 0.6571731 0.138502229  fv Log-Normal RP(P), Log-Normal    FALSE #> 5400   338 0.7728687 0.163033764  fv Log-Normal RP(P), Log-Normal    FALSE #> 5416   339 0.5965669 0.128341597  fv Log-Normal RP(P), Log-Normal    FALSE #> 5432   340 0.9275768 0.195141879  fv Log-Normal RP(P), Log-Normal    FALSE #> 5448   341 0.6692119 0.145172381  fv Log-Normal RP(P), Log-Normal    FALSE #> 5464   342 0.5902572 0.125475073  fv Log-Normal RP(P), Log-Normal    FALSE #> 5480   343 0.5801466 0.123098768  fv Log-Normal RP(P), Log-Normal    FALSE #> 5496   344 0.6785553 0.144580820  fv Log-Normal RP(P), Log-Normal    FALSE #> 5512   345 0.6981478 0.149010321  fv Log-Normal RP(P), Log-Normal    FALSE #> 5528   346 0.5238796 0.114762954  fv Log-Normal RP(P), Log-Normal    FALSE #> 5544   347 0.6274841 0.133216940  fv Log-Normal RP(P), Log-Normal    FALSE #> 5560   348 0.6138076 0.132661263  fv Log-Normal RP(P), Log-Normal    FALSE #> 5576   349 0.7089060 0.151241295  fv Log-Normal RP(P), Log-Normal    FALSE #> 5592   350 0.7922423 0.166710243  fv Log-Normal RP(P), Log-Normal    FALSE #> 5608   351 0.6095110 0.131638592  fv Log-Normal RP(P), Log-Normal    FALSE #> 5624   352 0.8227668 0.174673506  fv Log-Normal RP(P), Log-Normal    FALSE #> 5640   353 0.7124254 0.149873339  fv Log-Normal RP(P), Log-Normal    FALSE #> 5656   354 0.6746969 0.142588109  fv Log-Normal RP(P), Log-Normal    FALSE #> 5672   355 0.7436915 0.155836291  fv Log-Normal RP(P), Log-Normal    FALSE #> 5688   356 0.6364339 0.135095851  fv Log-Normal RP(P), Log-Normal    FALSE #> 5704   357 0.9283883 0.195684960  fv Log-Normal RP(P), Log-Normal    FALSE #> 5720   358 0.6779987 0.143013219  fv Log-Normal RP(P), Log-Normal    FALSE #> 5736   359 0.5223231 0.112182424  fv Log-Normal RP(P), Log-Normal    FALSE #> 5752   360 0.6818928 0.145867770  fv Log-Normal RP(P), Log-Normal    FALSE #> 5768   361 0.6438289 0.136908189  fv Log-Normal RP(P), Log-Normal    FALSE #> 5784   362 0.6308484 0.133550798  fv Log-Normal RP(P), Log-Normal    FALSE #> 5800   363 0.6184552 0.131494207  fv Log-Normal RP(P), Log-Normal    FALSE #> 5816   364 0.9020074 0.191480398  fv Log-Normal RP(P), Log-Normal    FALSE #> 5832   365 0.8085743 0.174120700  fv Log-Normal RP(P), Log-Normal    FALSE #> 5848   366 0.6868125 0.146863645  fv Log-Normal RP(P), Log-Normal    FALSE #> 5864   367 0.8043925 0.169415489  fv Log-Normal RP(P), Log-Normal    FALSE #> 5880   368 0.9940984 0.211797215  fv Log-Normal RP(P), Log-Normal    FALSE #> 5896   369 0.6067818 0.130133487  fv Log-Normal RP(P), Log-Normal    FALSE #> 5912   370 0.7791594 0.164610115  fv Log-Normal RP(P), Log-Normal    FALSE #> 5928   371 0.6579660 0.139290440  fv Log-Normal RP(P), Log-Normal    FALSE #> 5944   372 0.4998593 0.107079991  fv Log-Normal RP(P), Log-Normal    FALSE #> 5960   373 1.1187507 0.239669973  fv Log-Normal RP(P), Log-Normal     TRUE #> 5976   374 0.5445436 0.116192907  fv Log-Normal RP(P), Log-Normal    FALSE #> 5992   375 0.6589562 0.140315215  fv Log-Normal RP(P), Log-Normal    FALSE #> 6008   376 0.7039143 0.151300247  fv Log-Normal RP(P), Log-Normal    FALSE #> 6024   377 0.5442462 0.116958497  fv Log-Normal RP(P), Log-Normal    FALSE #> 6040   378 0.6207517 0.133000762  fv Log-Normal RP(P), Log-Normal    FALSE #> 6056   379 0.5070180 0.108149121  fv Log-Normal RP(P), Log-Normal    FALSE #> 6072   380 0.6588885 0.139471825  fv Log-Normal RP(P), Log-Normal    FALSE #> 6088   381 0.8548545 0.181832063  fv Log-Normal RP(P), Log-Normal    FALSE #> 6104   382 0.7335509 0.156313750  fv Log-Normal RP(P), Log-Normal    FALSE #> 6120   383 0.7137172 0.150203860  fv Log-Normal RP(P), Log-Normal    FALSE #> 6136   384 0.7104134 0.150412373  fv Log-Normal RP(P), Log-Normal    FALSE #> 6152   385 0.5935099 0.129534784  fv Log-Normal RP(P), Log-Normal    FALSE #> 6168   386 0.9411797 0.201815466  fv Log-Normal RP(P), Log-Normal    FALSE #> 6184   387 0.5892174 0.125279876  fv Log-Normal RP(P), Log-Normal    FALSE #> 6200   388 0.9310919 0.196820097  fv Log-Normal RP(P), Log-Normal    FALSE #> 6216   389 0.8066429 0.170511534  fv Log-Normal RP(P), Log-Normal    FALSE #> 6232   390 0.6786750 0.144396146  fv Log-Normal RP(P), Log-Normal    FALSE #> 6248   391 0.8198229 0.172515332  fv Log-Normal RP(P), Log-Normal    FALSE #> 6264   392 0.6270577 0.133542272  fv Log-Normal RP(P), Log-Normal    FALSE #> 6280   393 0.5605416 0.119072930  fv Log-Normal RP(P), Log-Normal    FALSE #> 6296   394 0.8810824 0.186080625  fv Log-Normal RP(P), Log-Normal    FALSE #> 6312   395 0.7626802 0.161748237  fv Log-Normal RP(P), Log-Normal    FALSE #> 6328   396 1.0186980 0.215519936  fv Log-Normal RP(P), Log-Normal    FALSE #> 6344   397 0.7136712 0.152808078  fv Log-Normal RP(P), Log-Normal    FALSE #> 6360   398 0.6724088 0.142879285  fv Log-Normal RP(P), Log-Normal    FALSE #> 6376   399 0.8200587 0.173443890  fv Log-Normal RP(P), Log-Normal    FALSE #> 6392   400 0.5373662 0.114719406  fv Log-Normal RP(P), Log-Normal    FALSE #> 6408   401 0.6198081 0.133051510  fv Log-Normal RP(P), Log-Normal    FALSE #> 6424   402 0.5456393 0.120676593  fv Log-Normal RP(P), Log-Normal    FALSE #> 6440   403 0.6242481 0.134826074  fv Log-Normal RP(P), Log-Normal    FALSE #> 6456   404 0.5789455 0.124683392  fv Log-Normal RP(P), Log-Normal    FALSE #> 6472   405 0.4740742 0.101148159  fv Log-Normal RP(P), Log-Normal    FALSE #> 6488   406 0.7363722 0.157413363  fv Log-Normal RP(P), Log-Normal    FALSE #> 6504   407 0.7570074 0.160550534  fv Log-Normal RP(P), Log-Normal    FALSE #> 6520   408 0.4959259 0.108490225  fv Log-Normal RP(P), Log-Normal    FALSE #> 6536   409 0.7356424 0.157765466  fv Log-Normal RP(P), Log-Normal    FALSE #> 6552   410 0.7712851 0.162320795  fv Log-Normal RP(P), Log-Normal    FALSE #> 6568   411 0.6541786 0.140317219  fv Log-Normal RP(P), Log-Normal    FALSE #> 6584   412 0.6661183 0.143455097  fv Log-Normal RP(P), Log-Normal    FALSE #> 6600   413 0.5350439 0.115753646  fv Log-Normal RP(P), Log-Normal    FALSE #> 6616   414 0.8643640 0.180317810  fv Log-Normal RP(P), Log-Normal    FALSE #> 6632   415 1.2739619 0.266898773  fv Log-Normal RP(P), Log-Normal     TRUE #> 6648   416 0.5686275 0.124459667  fv Log-Normal RP(P), Log-Normal    FALSE #> 6664   417 0.5516460 0.117282911  fv Log-Normal RP(P), Log-Normal    FALSE #> 6680   418 0.8937930 0.187628969  fv Log-Normal RP(P), Log-Normal    FALSE #> 6696   419 0.4939313 0.107958764  fv Log-Normal RP(P), Log-Normal    FALSE #> 6712   420 0.7618818 0.162553523  fv Log-Normal RP(P), Log-Normal    FALSE #> 6728   421 0.7941336 0.166611656  fv Log-Normal RP(P), Log-Normal    FALSE #> 6744   422 0.5760020 0.123123483  fv Log-Normal RP(P), Log-Normal    FALSE #> 6760   423 0.5860742 0.124560347  fv Log-Normal RP(P), Log-Normal    FALSE #> 6776   424 0.6808656 0.144707278  fv Log-Normal RP(P), Log-Normal    FALSE #> 6792   425 0.7515341 0.158171202  fv Log-Normal RP(P), Log-Normal    FALSE #> 6808   426 0.8278194 0.174409626  fv Log-Normal RP(P), Log-Normal    FALSE #> 6824   427 0.9565671 0.199453527  fv Log-Normal RP(P), Log-Normal    FALSE #> 6840   428 0.8208074 0.173449828  fv Log-Normal RP(P), Log-Normal    FALSE #> 6856   429 0.7261118 0.153860717  fv Log-Normal RP(P), Log-Normal    FALSE #> 6872   430 0.8154937 0.170888139  fv Log-Normal RP(P), Log-Normal    FALSE #> 6888   431 0.6854336 0.147503360  fv Log-Normal RP(P), Log-Normal    FALSE #> 6904   432 0.8698979 0.183151737  fv Log-Normal RP(P), Log-Normal    FALSE #> 6920   433 0.5932630 0.126716505  fv Log-Normal RP(P), Log-Normal    FALSE #> 6936   434 0.5884706 0.124621858  fv Log-Normal RP(P), Log-Normal    FALSE #> 6952   435 0.4976009 0.107213878  fv Log-Normal RP(P), Log-Normal    FALSE #> 6968   436 0.7641928 0.161595804  fv Log-Normal RP(P), Log-Normal    FALSE #> 6984   437 0.5831031 0.126014583  fv Log-Normal RP(P), Log-Normal    FALSE #> 7000   438 0.8816506 0.185159712  fv Log-Normal RP(P), Log-Normal    FALSE #> 7016   439 0.5992139 0.129551688  fv Log-Normal RP(P), Log-Normal    FALSE #> 7032   440 0.4173110 0.090549796  fv Log-Normal RP(P), Log-Normal    FALSE #> 7048   441 0.5608792 0.120279561  fv Log-Normal RP(P), Log-Normal    FALSE #> 7064   442 0.7522919 0.160420421  fv Log-Normal RP(P), Log-Normal    FALSE #> 7080   443 0.8041542 0.170485517  fv Log-Normal RP(P), Log-Normal    FALSE #> 7096   444 0.8333665 0.174907941  fv Log-Normal RP(P), Log-Normal    FALSE #> 7112   445 0.9032992 0.190709150  fv Log-Normal RP(P), Log-Normal    FALSE #> 7128   446 0.6382998 0.136039454  fv Log-Normal RP(P), Log-Normal    FALSE #> 7144   447 0.8913664 0.188101809  fv Log-Normal RP(P), Log-Normal    FALSE #> 7160   448 0.9185656 0.194708815  fv Log-Normal RP(P), Log-Normal    FALSE #> 7176   449 0.9114504 0.192914583  fv Log-Normal RP(P), Log-Normal    FALSE #> 7192   450 0.7040628 0.150193038  fv Log-Normal RP(P), Log-Normal    FALSE #> 7208   451 0.7951696 0.168085049  fv Log-Normal RP(P), Log-Normal    FALSE #> 7224   452 0.7822380 0.164962493  fv Log-Normal RP(P), Log-Normal    FALSE #> 7240   453 0.6990982 0.147390463  fv Log-Normal RP(P), Log-Normal    FALSE #> 7256   454 0.6810218 0.145335768  fv Log-Normal RP(P), Log-Normal    FALSE #> 7272   455 0.6300676 0.133453170  fv Log-Normal RP(P), Log-Normal    FALSE #> 7288   456 0.4863927 0.104457276  fv Log-Normal RP(P), Log-Normal    FALSE #> 7304   457 0.9178214 0.193997798  fv Log-Normal RP(P), Log-Normal    FALSE #> 7320   458 0.7946535 0.172717509  fv Log-Normal RP(P), Log-Normal    FALSE #> 7336   459 0.9718512 0.208815317  fv Log-Normal RP(P), Log-Normal    FALSE #> 7352   460 0.6861966 0.146417539  fv Log-Normal RP(P), Log-Normal    FALSE #> 7368   461 0.7851648 0.165669430  fv Log-Normal RP(P), Log-Normal    FALSE #> 7384   462 0.7271394 0.153568596  fv Log-Normal RP(P), Log-Normal    FALSE #> 7400   463 0.8837419 0.187918773  fv Log-Normal RP(P), Log-Normal    FALSE #> 7416   464 0.8135415 0.171708945  fv Log-Normal RP(P), Log-Normal    FALSE #> 7432   465 0.8182940 0.172522261  fv Log-Normal RP(P), Log-Normal    FALSE #> 7448   466 0.8493356 0.179784542  fv Log-Normal RP(P), Log-Normal    FALSE #> 7464   467 0.7431155 0.158019881  fv Log-Normal RP(P), Log-Normal    FALSE #> 7480   468 0.9245746 0.194819936  fv Log-Normal RP(P), Log-Normal    FALSE #> 7496   469 0.8093364 0.169629324  fv Log-Normal RP(P), Log-Normal    FALSE #> 7512   470 0.7536124 0.160736238  fv Log-Normal RP(P), Log-Normal    FALSE #> 7528   471 0.6319489 0.135425252  fv Log-Normal RP(P), Log-Normal    FALSE #> 7544   472 0.8705816 0.183151533  fv Log-Normal RP(P), Log-Normal    FALSE #> 7560   473 0.6939116 0.147277985  fv Log-Normal RP(P), Log-Normal    FALSE #> 7576   474 1.0226695 0.218679643  fv Log-Normal RP(P), Log-Normal    FALSE #> 7592   475 0.6441230 0.137039433  fv Log-Normal RP(P), Log-Normal    FALSE #> 7608   476 0.4760739 0.102644848  fv Log-Normal RP(P), Log-Normal    FALSE #> 7624   477 0.5102537 0.108874669  fv Log-Normal RP(P), Log-Normal    FALSE #> 7640   478 0.8094600 0.170268803  fv Log-Normal RP(P), Log-Normal    FALSE #> 7656   479 0.7402423 0.155742727  fv Log-Normal RP(P), Log-Normal    FALSE #> 7672   480 1.0188028 0.213534164  fv Log-Normal RP(P), Log-Normal    FALSE #> 7688   481 1.0312072 0.216978595  fv Log-Normal RP(P), Log-Normal    FALSE #> 7704   482 0.7865807 0.168666058  fv Log-Normal RP(P), Log-Normal    FALSE #> 7720   483 0.9423222 0.201963450  fv Log-Normal RP(P), Log-Normal    FALSE #> 7736   484 0.8973102 0.192445828  fv Log-Normal RP(P), Log-Normal    FALSE #> 7752   485 0.5963984 0.127055639  fv Log-Normal RP(P), Log-Normal    FALSE #> 7768   486 0.4671000 0.102302527  fv Log-Normal RP(P), Log-Normal    FALSE #> 7784   487 0.8902634 0.188247313  fv Log-Normal RP(P), Log-Normal    FALSE #> 7800   488 0.4450478 0.096615368  fv Log-Normal RP(P), Log-Normal    FALSE #> 7816   489 0.8021624 0.173231327  fv Log-Normal RP(P), Log-Normal    FALSE #> 7832   490 0.7137305 0.152534661  fv Log-Normal RP(P), Log-Normal    FALSE #> 7848   491 0.6903608 0.146100755  fv Log-Normal RP(P), Log-Normal    FALSE #> 7864   492 0.5592670 0.118971312  fv Log-Normal RP(P), Log-Normal    FALSE #> 7880   493 1.0805007 0.228198880  fv Log-Normal RP(P), Log-Normal    FALSE #> 7896   494 0.6613173 0.139508951  fv Log-Normal RP(P), Log-Normal    FALSE #> 7912   495 0.8229525 0.172706856  fv Log-Normal RP(P), Log-Normal    FALSE #> 7928   496 1.0935848 0.231781117  fv Log-Normal RP(P), Log-Normal    FALSE #> 7944   497 0.5926421 0.126095802  fv Log-Normal RP(P), Log-Normal    FALSE #> 7960   498 0.6349464 0.134880116  fv Log-Normal RP(P), Log-Normal    FALSE #> 7976   499 0.9057009 0.193169237  fv Log-Normal RP(P), Log-Normal    FALSE #> 7992   500 0.6787804 0.143590515  fv Log-Normal RP(P), Log-Normal    FALSE #> 8008   501 1.3525305 0.283084001  fv Log-Normal RP(P), Log-Normal     TRUE #> 8024   502 0.7740755 0.163786111  fv Log-Normal RP(P), Log-Normal    FALSE #> 8040   503 0.7478861 0.158084965  fv Log-Normal RP(P), Log-Normal    FALSE #> 8056   504 0.8826810 0.185135409  fv Log-Normal RP(P), Log-Normal    FALSE #> 8072   505 0.7557309 0.160151723  fv Log-Normal RP(P), Log-Normal    FALSE #> 8088   506 1.0247701 0.219285990  fv Log-Normal RP(P), Log-Normal    FALSE #> 8104   507 0.7332673 0.155458606  fv Log-Normal RP(P), Log-Normal    FALSE #> 8120   508 0.5395012 0.115690840  fv Log-Normal RP(P), Log-Normal    FALSE #> 8136   509 0.6787263 0.144817990  fv Log-Normal RP(P), Log-Normal    FALSE #> 8152   510 0.6847482 0.146363988  fv Log-Normal RP(P), Log-Normal    FALSE #> 8168   511 0.4605915 0.099150023  fv Log-Normal RP(P), Log-Normal    FALSE #> 8184   512 0.7265371 0.156046468  fv Log-Normal RP(P), Log-Normal    FALSE #> 8200   513 0.8072477 0.171715037  fv Log-Normal RP(P), Log-Normal    FALSE #> 8216   514 0.7180859 0.151783993  fv Log-Normal RP(P), Log-Normal    FALSE #> 8232   515 0.5582958 0.119831433  fv Log-Normal RP(P), Log-Normal    FALSE #> 8248   516 0.7381316 0.155789374  fv Log-Normal RP(P), Log-Normal    FALSE #> 8264   517 0.3674411 0.080541276  fv Log-Normal RP(P), Log-Normal    FALSE #> 8280   518 0.7450873 0.157554369  fv Log-Normal RP(P), Log-Normal    FALSE #> 8296   519 0.7681291 0.162465401  fv Log-Normal RP(P), Log-Normal    FALSE #> 8312   520 0.8008281 0.168852756  fv Log-Normal RP(P), Log-Normal    FALSE #> 8328   521 0.7998675 0.170293482  fv Log-Normal RP(P), Log-Normal    FALSE #> 8344   522 0.5387534 0.114980391  fv Log-Normal RP(P), Log-Normal    FALSE #> 8360   523 0.7672604 0.162198321  fv Log-Normal RP(P), Log-Normal    FALSE #> 8376   524 0.5280884 0.112519890  fv Log-Normal RP(P), Log-Normal    FALSE #> 8392   525 0.7053708 0.149423744  fv Log-Normal RP(P), Log-Normal    FALSE #> 8408   526 0.6066376 0.129241961  fv Log-Normal RP(P), Log-Normal    FALSE #> 8424   527 0.7129661 0.150656058  fv Log-Normal RP(P), Log-Normal    FALSE #> 8440   528 0.9281260 0.195995962  fv Log-Normal RP(P), Log-Normal    FALSE #> 8456   529 0.9355893 0.196208641  fv Log-Normal RP(P), Log-Normal    FALSE #> 8472   530 0.4504997 0.097884739  fv Log-Normal RP(P), Log-Normal    FALSE #> 8488   531 1.0001840 0.211155769  fv Log-Normal RP(P), Log-Normal    FALSE #> 8504   532 0.7216514 0.152077098  fv Log-Normal RP(P), Log-Normal    FALSE #> 8520   533 0.6905167 0.145804123  fv Log-Normal RP(P), Log-Normal    FALSE #> 8536   534 0.7425754 0.157498257  fv Log-Normal RP(P), Log-Normal    FALSE #> 8552   535 0.8638945 0.181911550  fv Log-Normal RP(P), Log-Normal    FALSE #> 8568   536 0.5969459 0.128825659  fv Log-Normal RP(P), Log-Normal    FALSE #> 8584   537 1.2497526 0.261387193  fv Log-Normal RP(P), Log-Normal     TRUE #> 8600   538 0.5072017 0.109014290  fv Log-Normal RP(P), Log-Normal    FALSE #> 8616   539 0.6856868 0.144442198  fv Log-Normal RP(P), Log-Normal    FALSE #> 8632   540 0.6145395 0.130947333  fv Log-Normal RP(P), Log-Normal    FALSE #> 8648   541 0.9003393 0.188467630  fv Log-Normal RP(P), Log-Normal    FALSE #> 8664   542 0.8263942 0.175286712  fv Log-Normal RP(P), Log-Normal    FALSE #> 8680   543 0.7581448 0.159106779  fv Log-Normal RP(P), Log-Normal    FALSE #> 8696   544 0.7628214 0.161333872  fv Log-Normal RP(P), Log-Normal    FALSE #> 8712   545 0.5729157 0.121622886  fv Log-Normal RP(P), Log-Normal    FALSE #> 8728   546 0.9048540 0.189585012  fv Log-Normal RP(P), Log-Normal    FALSE #> 8744   547 0.6888985 0.146237060  fv Log-Normal RP(P), Log-Normal    FALSE #> 8760   548 0.5388485 0.114867872  fv Log-Normal RP(P), Log-Normal    FALSE #> 8776   549 0.8844165 0.187783761  fv Log-Normal RP(P), Log-Normal    FALSE #> 8792   550 0.5216935 0.112325747  fv Log-Normal RP(P), Log-Normal    FALSE #> 8808   551 0.7981204 0.168826559  fv Log-Normal RP(P), Log-Normal    FALSE #> 8824   552 0.7043843 0.148695174  fv Log-Normal RP(P), Log-Normal    FALSE #> 8840   553 0.8456647 0.176887854  fv Log-Normal RP(P), Log-Normal    FALSE #> 8856   554 0.9029274 0.189275208  fv Log-Normal RP(P), Log-Normal    FALSE #> 8872   555 0.8338211 0.176687000  fv Log-Normal RP(P), Log-Normal    FALSE #> 8888   556 0.8771735 0.184240708  fv Log-Normal RP(P), Log-Normal    FALSE #> 8904   557 0.6994326 0.147519245  fv Log-Normal RP(P), Log-Normal    FALSE #> 8920   558 0.6675003 0.140850673  fv Log-Normal RP(P), Log-Normal    FALSE #> 8936   559 0.6142336 0.132089175  fv Log-Normal RP(P), Log-Normal    FALSE #> 8952   560 0.7787745 0.163344772  fv Log-Normal RP(P), Log-Normal    FALSE #> 8968   561 1.2512491 0.263068744  fv Log-Normal RP(P), Log-Normal     TRUE #> 8984   562 0.8979502 0.193680428  fv Log-Normal RP(P), Log-Normal    FALSE #> 9000   563 0.7952133 0.167695091  fv Log-Normal RP(P), Log-Normal    FALSE #> 9016   564 0.6546188 0.141378883  fv Log-Normal RP(P), Log-Normal    FALSE #> 9032   565 0.5562875 0.118568595  fv Log-Normal RP(P), Log-Normal    FALSE #> 9048   566 0.7792219 0.167873773  fv Log-Normal RP(P), Log-Normal    FALSE #> 9064   567 0.7419551 0.158352827  fv Log-Normal RP(P), Log-Normal    FALSE #> 9080   568 0.5379826 0.115223660  fv Log-Normal RP(P), Log-Normal    FALSE #> 9096   569 0.8461880 0.177143809  fv Log-Normal RP(P), Log-Normal    FALSE #> 9112   570 0.5799163 0.126002183  fv Log-Normal RP(P), Log-Normal    FALSE #> 9128   571 0.6983018 0.147992860  fv Log-Normal RP(P), Log-Normal    FALSE #> 9144   572 0.6094856 0.128898875  fv Log-Normal RP(P), Log-Normal    FALSE #> 9160   573 0.6552102 0.139040826  fv Log-Normal RP(P), Log-Normal    FALSE #> 9176   574 0.7370159 0.156124757  fv Log-Normal RP(P), Log-Normal    FALSE #> 9192   575 0.6652785 0.143329039  fv Log-Normal RP(P), Log-Normal    FALSE #> 9208   576 0.7048646 0.153254428  fv Log-Normal RP(P), Log-Normal    FALSE #> 9224   577 0.9167098 0.191907050  fv Log-Normal RP(P), Log-Normal    FALSE #> 9240   578 0.5877871 0.124960960  fv Log-Normal RP(P), Log-Normal    FALSE #> 9256   579 0.6016587 0.129835840  fv Log-Normal RP(P), Log-Normal    FALSE #> 9272   580 0.4967792 0.106638664  fv Log-Normal RP(P), Log-Normal    FALSE #> 9288   581 0.7942713 0.168013813  fv Log-Normal RP(P), Log-Normal    FALSE #> 9304   582 0.7758947 0.163986474  fv Log-Normal RP(P), Log-Normal    FALSE #> 9320   583 1.0340860 0.215440480  fv Log-Normal RP(P), Log-Normal    FALSE #> 9336   584 0.5415647 0.114993075  fv Log-Normal RP(P), Log-Normal    FALSE #> 9352   585 0.7207829 0.152475876  fv Log-Normal RP(P), Log-Normal    FALSE #> 9368   586 0.7453476 0.156907193  fv Log-Normal RP(P), Log-Normal    FALSE #> 9384   587 0.9381973 0.198355658  fv Log-Normal RP(P), Log-Normal    FALSE #> 9400   588 0.5818223 0.125118084  fv Log-Normal RP(P), Log-Normal    FALSE #> 9416   589 0.6031015 0.127799852  fv Log-Normal RP(P), Log-Normal    FALSE #> 9432   590 0.8243606 0.175362711  fv Log-Normal RP(P), Log-Normal    FALSE #> 9448   591 0.8454856 0.179386646  fv Log-Normal RP(P), Log-Normal    FALSE #> 9464   592 0.8293279 0.176428804  fv Log-Normal RP(P), Log-Normal    FALSE #> 9480   593 0.9311402 0.195578453  fv Log-Normal RP(P), Log-Normal    FALSE #> 9496   594 0.7218285 0.152965863  fv Log-Normal RP(P), Log-Normal    FALSE #> 9512   595 0.5446728 0.116520386  fv Log-Normal RP(P), Log-Normal    FALSE #> 9528   596 0.7359036 0.154479518  fv Log-Normal RP(P), Log-Normal    FALSE #> 9544   597 0.6073041 0.128691128  fv Log-Normal RP(P), Log-Normal    FALSE #> 9560   598 1.0738637 0.225311791  fv Log-Normal RP(P), Log-Normal    FALSE #> 9576   599 0.7532017 0.160702035  fv Log-Normal RP(P), Log-Normal    FALSE #> 9592   600 0.5313748 0.113456443  fv Log-Normal RP(P), Log-Normal    FALSE #> 9608   601 1.1762696 0.247690829  fv Log-Normal RP(P), Log-Normal     TRUE #> 9624   602 0.9869736 0.208165567  fv Log-Normal RP(P), Log-Normal    FALSE #> 9640   603 0.4156015 0.089856898  fv Log-Normal RP(P), Log-Normal    FALSE #> 9656   604 0.7562236 0.159112332  fv Log-Normal RP(P), Log-Normal    FALSE #> 9672   605 1.2356747 0.256716135  fv Log-Normal RP(P), Log-Normal     TRUE #> 9688   606 0.6753278 0.142231678  fv Log-Normal RP(P), Log-Normal    FALSE #> 9704   607 0.6100967 0.131469811  fv Log-Normal RP(P), Log-Normal    FALSE #> 9720   608 0.4384887 0.095081321  fv Log-Normal RP(P), Log-Normal    FALSE #> 9736   609 0.8299211 0.173601960  fv Log-Normal RP(P), Log-Normal    FALSE #> 9752   610 0.6332973 0.134588006  fv Log-Normal RP(P), Log-Normal    FALSE #> 9768   611 0.8122094 0.173499710  fv Log-Normal RP(P), Log-Normal    FALSE #> 9784   612 0.5912979 0.127198194  fv Log-Normal RP(P), Log-Normal    FALSE #> 9800   613 0.8186354 0.172772228  fv Log-Normal RP(P), Log-Normal    FALSE #> 9816   614 0.7847640 0.167841517  fv Log-Normal RP(P), Log-Normal    FALSE #> 9832   615 0.8697196 0.183433952  fv Log-Normal RP(P), Log-Normal    FALSE #> 9848   616 0.7828021 0.165439563  fv Log-Normal RP(P), Log-Normal    FALSE #> 9864   617 0.7846758 0.165990375  fv Log-Normal RP(P), Log-Normal    FALSE #> 9880   618 0.6823886 0.144285111  fv Log-Normal RP(P), Log-Normal    FALSE #> 9896   619 0.8198467 0.172557735  fv Log-Normal RP(P), Log-Normal    FALSE #> 9912   620 0.8185053 0.173878169  fv Log-Normal RP(P), Log-Normal    FALSE #> 9928   621 0.5663070 0.121246532  fv Log-Normal RP(P), Log-Normal    FALSE #> 9944   622 0.6302051 0.135303879  fv Log-Normal RP(P), Log-Normal    FALSE #> 9960   623 0.8783656 0.185679970  fv Log-Normal RP(P), Log-Normal    FALSE #> 9976   624 0.5837145 0.125580529  fv Log-Normal RP(P), Log-Normal    FALSE #> 9992   625 0.7638096 0.162639813  fv Log-Normal RP(P), Log-Normal    FALSE #> 10008  626 0.6378765 0.135851705  fv Log-Normal RP(P), Log-Normal    FALSE #> 10024  627 0.6253581 0.133238137  fv Log-Normal RP(P), Log-Normal    FALSE #> 10040  628 0.6694660 0.143767320  fv Log-Normal RP(P), Log-Normal    FALSE #> 10056  629 0.6392508 0.134956518  fv Log-Normal RP(P), Log-Normal    FALSE #> 10072  630 0.8351055 0.175262379  fv Log-Normal RP(P), Log-Normal    FALSE #> 10088  631 0.6715506 0.142213889  fv Log-Normal RP(P), Log-Normal    FALSE #> 10104  632 0.7776511 0.166721548  fv Log-Normal RP(P), Log-Normal    FALSE #> 10120  633 0.4910653 0.105740740  fv Log-Normal RP(P), Log-Normal    FALSE #> 10136  634 0.6757272 0.146378271  fv Log-Normal RP(P), Log-Normal    FALSE #> 10152  635 0.9063761 0.191682174  fv Log-Normal RP(P), Log-Normal    FALSE #> 10168  636 0.4196552 0.091166924  fv Log-Normal RP(P), Log-Normal    FALSE #> 10184  637 0.8757533 0.183031296  fv Log-Normal RP(P), Log-Normal    FALSE #> 10200  638 0.6839210 0.145657493  fv Log-Normal RP(P), Log-Normal    FALSE #> 10216  639 0.4323877 0.093765125  fv Log-Normal RP(P), Log-Normal    FALSE #> 10232  640 0.7235325 0.154259737  fv Log-Normal RP(P), Log-Normal    FALSE #> 10248  641 0.5858835 0.125271208  fv Log-Normal RP(P), Log-Normal    FALSE #> 10264  642 0.6400015 0.136631265  fv Log-Normal RP(P), Log-Normal    FALSE #> 10280  643 0.6645860 0.140296010  fv Log-Normal RP(P), Log-Normal    FALSE #> 10296  644 0.6198370 0.131300536  fv Log-Normal RP(P), Log-Normal    FALSE #> 10312  645 0.7546684 0.158768904  fv Log-Normal RP(P), Log-Normal    FALSE #> 10328  646 0.8385785 0.177475226  fv Log-Normal RP(P), Log-Normal    FALSE #> 10344  647 0.6580940 0.139159678  fv Log-Normal RP(P), Log-Normal    FALSE #> 10360  648 1.0746985 0.225177802  fv Log-Normal RP(P), Log-Normal    FALSE #> 10376  649 0.6308988 0.136195814  fv Log-Normal RP(P), Log-Normal    FALSE #> 10392  650 0.8130078 0.170621264  fv Log-Normal RP(P), Log-Normal    FALSE #> 10408  651 0.7933222 0.168885503  fv Log-Normal RP(P), Log-Normal    FALSE #> 10424  652 1.2738896 0.266494041  fv Log-Normal RP(P), Log-Normal     TRUE #> 10440  653 0.5448666 0.117388941  fv Log-Normal RP(P), Log-Normal    FALSE #> 10456  654 0.5869671 0.127309334  fv Log-Normal RP(P), Log-Normal    FALSE #> 10472  655 0.7057334 0.149997780  fv Log-Normal RP(P), Log-Normal    FALSE #> 10488  656 0.7129275 0.153121486  fv Log-Normal RP(P), Log-Normal    FALSE #> 10504  657 0.5353386 0.115029010  fv Log-Normal RP(P), Log-Normal    FALSE #> 10520  658 1.1549453 0.246231092  fv Log-Normal RP(P), Log-Normal     TRUE #> 10536  659 1.0576571 0.224338275  fv Log-Normal RP(P), Log-Normal    FALSE #> 10552  660 0.8581929 0.181070027  fv Log-Normal RP(P), Log-Normal    FALSE #> 10568  661 0.5674477 0.122688388  fv Log-Normal RP(P), Log-Normal    FALSE #> 10584  662 0.5904257 0.125804978  fv Log-Normal RP(P), Log-Normal    FALSE #> 10600  663 0.7041159 0.150024604  fv Log-Normal RP(P), Log-Normal    FALSE #> 10616  664 0.7043639 0.148712478  fv Log-Normal RP(P), Log-Normal    FALSE #> 10632  665 0.8841932 0.186280285  fv Log-Normal RP(P), Log-Normal    FALSE #> 10648  666 1.1689748 0.244131156  fv Log-Normal RP(P), Log-Normal     TRUE #> 10664  667 0.6492794 0.137535848  fv Log-Normal RP(P), Log-Normal    FALSE #> 10680  668 0.6326668 0.134054761  fv Log-Normal RP(P), Log-Normal    FALSE #> 10696  669 0.9185632 0.194052341  fv Log-Normal RP(P), Log-Normal    FALSE #> 10712  670 0.6207600 0.134223983  fv Log-Normal RP(P), Log-Normal    FALSE #> 10728  671 0.7991586 0.168309558  fv Log-Normal RP(P), Log-Normal    FALSE #> 10744  672 0.9575733 0.201175273  fv Log-Normal RP(P), Log-Normal    FALSE #> 10760  673 0.6513651 0.137218194  fv Log-Normal RP(P), Log-Normal    FALSE #> 10776  674 0.8220483 0.172548799  fv Log-Normal RP(P), Log-Normal    FALSE #> 10792  675 0.6542018 0.144640287  fv Log-Normal RP(P), Log-Normal    FALSE #> 10808  676 0.8790873 0.184291598  fv Log-Normal RP(P), Log-Normal    FALSE #> 10824  677 0.6809257 0.143968265  fv Log-Normal RP(P), Log-Normal    FALSE #> 10840  678 0.5718382 0.122834126  fv Log-Normal RP(P), Log-Normal    FALSE #> 10856  679 0.6114109 0.129944256  fv Log-Normal RP(P), Log-Normal    FALSE #> 10872  680 0.7505338 0.159061609  fv Log-Normal RP(P), Log-Normal    FALSE #> 10888  681 1.0280511 0.216051309  fv Log-Normal RP(P), Log-Normal    FALSE #> 10904  682 0.6922360 0.148686633  fv Log-Normal RP(P), Log-Normal    FALSE #> 10920  683 0.8160459 0.173021939  fv Log-Normal RP(P), Log-Normal    FALSE #> 10936  684 1.0630183 0.223385225  fv Log-Normal RP(P), Log-Normal    FALSE #> 10952  685 0.6666902 0.142274967  fv Log-Normal RP(P), Log-Normal    FALSE #> 10968  686 0.8987511 0.188963362  fv Log-Normal RP(P), Log-Normal    FALSE #> 10984  687 0.5852340 0.124061916  fv Log-Normal RP(P), Log-Normal    FALSE #> 11000  688 0.6144874 0.131917388  fv Log-Normal RP(P), Log-Normal    FALSE #> 11016  689 0.6590173 0.140975370  fv Log-Normal RP(P), Log-Normal    FALSE #> 11032  690 0.8739728 0.185496227  fv Log-Normal RP(P), Log-Normal    FALSE #> 11048  691 0.8872853 0.197067546  fv Log-Normal RP(P), Log-Normal    FALSE #> 11064  692 0.6787807 0.144806881  fv Log-Normal RP(P), Log-Normal    FALSE #> 11080  693 0.5443873 0.119028846  fv Log-Normal RP(P), Log-Normal    FALSE #> 11096  694 0.7311672 0.154007226  fv Log-Normal RP(P), Log-Normal    FALSE #> 11112  695 0.6437481 0.137433283  fv Log-Normal RP(P), Log-Normal    FALSE #> 11128  696 0.7796264 0.164444138  fv Log-Normal RP(P), Log-Normal    FALSE #> 11144  697 0.8935000 0.188433606  fv Log-Normal RP(P), Log-Normal    FALSE #> 11160  698 0.4678461 0.101556136  fv Log-Normal RP(P), Log-Normal    FALSE #> 11176  699 0.7196923 0.155980475  fv Log-Normal RP(P), Log-Normal    FALSE #> 11192  700 0.5476779 0.117221047  fv Log-Normal RP(P), Log-Normal    FALSE #> 11208  701 0.8599958 0.182880781  fv Log-Normal RP(P), Log-Normal    FALSE #> 11224  702 0.8684833 0.183468073  fv Log-Normal RP(P), Log-Normal    FALSE #> 11240  703 0.7419362 0.157049016  fv Log-Normal RP(P), Log-Normal    FALSE #> 11256  704 0.6422867 0.136115231  fv Log-Normal RP(P), Log-Normal    FALSE #> 11272  705 0.7063944 0.150466188  fv Log-Normal RP(P), Log-Normal    FALSE #> 11288  706 0.7662985 0.163581974  fv Log-Normal RP(P), Log-Normal    FALSE #> 11304  707 0.9691335 0.204225294  fv Log-Normal RP(P), Log-Normal    FALSE #> 11320  708 0.9287081 0.195346367  fv Log-Normal RP(P), Log-Normal    FALSE #> 11336  709 0.6754008 0.142370655  fv Log-Normal RP(P), Log-Normal    FALSE #> 11352  710 0.5128397 0.109458719  fv Log-Normal RP(P), Log-Normal    FALSE #> 11368  711 0.6479967 0.136748161  fv Log-Normal RP(P), Log-Normal    FALSE #> 11384  712 0.6760885 0.143146392  fv Log-Normal RP(P), Log-Normal    FALSE #> 11400  713 1.0587777 0.226926537  fv Log-Normal RP(P), Log-Normal    FALSE #> 11416  714 0.8103874 0.172391443  fv Log-Normal RP(P), Log-Normal    FALSE #> 11432  715 0.8616532 0.183384192  fv Log-Normal RP(P), Log-Normal    FALSE #> 11448  716 0.7627301 0.161883444  fv Log-Normal RP(P), Log-Normal    FALSE #> 11464  717 0.8267358 0.177301411  fv Log-Normal RP(P), Log-Normal    FALSE #> 11480  718 0.8593514 0.180603036  fv Log-Normal RP(P), Log-Normal    FALSE #> 11496  719 0.9936252 0.208990822  fv Log-Normal RP(P), Log-Normal    FALSE #> 11512  720 0.7871392 0.166350119  fv Log-Normal RP(P), Log-Normal    FALSE #> 11528  721 0.6135418 0.132430075  fv Log-Normal RP(P), Log-Normal    FALSE #> 11544  722 0.8048205 0.169138187  fv Log-Normal RP(P), Log-Normal    FALSE #> 11560  723 0.6336888 0.133709011  fv Log-Normal RP(P), Log-Normal    FALSE #> 11576  724 0.7570649 0.162435404  fv Log-Normal RP(P), Log-Normal    FALSE #> 11592  725 0.7604770 0.159995583  fv Log-Normal RP(P), Log-Normal    FALSE #> 11608  726 0.6782080 0.145809322  fv Log-Normal RP(P), Log-Normal    FALSE #> 11624  727 0.7886025 0.166038605  fv Log-Normal RP(P), Log-Normal    FALSE #> 11640  728 1.0345666 0.216064658  fv Log-Normal RP(P), Log-Normal    FALSE #> 11656  729 0.7882665 0.167027116  fv Log-Normal RP(P), Log-Normal    FALSE #> 11672  730 0.8534764 0.181349873  fv Log-Normal RP(P), Log-Normal    FALSE #> 11688  731 0.5696950 0.125642912  fv Log-Normal RP(P), Log-Normal    FALSE #> 11704  732 0.5007401 0.109484333  fv Log-Normal RP(P), Log-Normal    FALSE #> 11720  733 0.9913558 0.210293324  fv Log-Normal RP(P), Log-Normal    FALSE #> 11736  734 0.8984254 0.190596960  fv Log-Normal RP(P), Log-Normal    FALSE #> 11752  735 1.0045821 0.209748742  fv Log-Normal RP(P), Log-Normal    FALSE #> 11768  736 0.8546730 0.181624950  fv Log-Normal RP(P), Log-Normal    FALSE #> 11784  737 0.7414317 0.156044397  fv Log-Normal RP(P), Log-Normal    FALSE #> 11800  738 0.5333088 0.113415989  fv Log-Normal RP(P), Log-Normal    FALSE #> 11816  739 0.6038187 0.128465242  fv Log-Normal RP(P), Log-Normal    FALSE #> 11832  740 0.8191753 0.172172004  fv Log-Normal RP(P), Log-Normal    FALSE #> 11848  741 1.0159289 0.214617959  fv Log-Normal RP(P), Log-Normal    FALSE #> 11864  742 0.6619821 0.140186802  fv Log-Normal RP(P), Log-Normal    FALSE #> 11880  743 0.7680557 0.163357348  fv Log-Normal RP(P), Log-Normal    FALSE #> 11896  744 0.7937786 0.169514194  fv Log-Normal RP(P), Log-Normal    FALSE #> 11912  745 0.7812691 0.167323224  fv Log-Normal RP(P), Log-Normal    FALSE #> 11928  746 0.5998087 0.127989709  fv Log-Normal RP(P), Log-Normal    FALSE #> 11944  747 0.6568120 0.139744765  fv Log-Normal RP(P), Log-Normal    FALSE #> 11960  748 0.8625290 0.182461742  fv Log-Normal RP(P), Log-Normal    FALSE #> 11976  749 0.9144162 0.190862281  fv Log-Normal RP(P), Log-Normal    FALSE #> 11992  750 0.7515278 0.158912889  fv Log-Normal RP(P), Log-Normal    FALSE #> 12008  751 0.8962423 0.188510336  fv Log-Normal RP(P), Log-Normal    FALSE #> 12024  752 0.6919608 0.146949221  fv Log-Normal RP(P), Log-Normal    FALSE #> 12040  753 0.4449890 0.097148812  fv Log-Normal RP(P), Log-Normal    FALSE #> 12056  754 0.7894919 0.168720623  fv Log-Normal RP(P), Log-Normal    FALSE #> 12072  755 0.6692060 0.141962729  fv Log-Normal RP(P), Log-Normal    FALSE #> 12088  756 0.3791451 0.083307800  fv Log-Normal RP(P), Log-Normal    FALSE #> 12104  757 0.6778335 0.142766228  fv Log-Normal RP(P), Log-Normal    FALSE #> 12120  758 0.7767465 0.163788353  fv Log-Normal RP(P), Log-Normal    FALSE #> 12136  759 0.6789998 0.145162056  fv Log-Normal RP(P), Log-Normal    FALSE #> 12152  760 0.8683342 0.182144862  fv Log-Normal RP(P), Log-Normal    FALSE #> 12168  761 0.6313595 0.135984337  fv Log-Normal RP(P), Log-Normal    FALSE #> 12184  762 0.7627906 0.160815382  fv Log-Normal RP(P), Log-Normal    FALSE #> 12200  763 0.5636338 0.120435542  fv Log-Normal RP(P), Log-Normal    FALSE #> 12216  764 0.6550750 0.139154314  fv Log-Normal RP(P), Log-Normal    FALSE #> 12232  765 0.9488338 0.199510616  fv Log-Normal RP(P), Log-Normal    FALSE #> 12248  766 0.6551717 0.138803758  fv Log-Normal RP(P), Log-Normal    FALSE #> 12264  767 0.8757343 0.184959715  fv Log-Normal RP(P), Log-Normal    FALSE #> 12280  768 0.5887793 0.126819926  fv Log-Normal RP(P), Log-Normal    FALSE #> 12296  769 1.0171618 0.215500452  fv Log-Normal RP(P), Log-Normal    FALSE #> 12312  770 0.6148654 0.132775036  fv Log-Normal RP(P), Log-Normal    FALSE #> 12328  771 0.5976970 0.132295735  fv Log-Normal RP(P), Log-Normal    FALSE #> 12344  772 0.5871158 0.125960628  fv Log-Normal RP(P), Log-Normal    FALSE #> 12360  773 0.5685788 0.121516270  fv Log-Normal RP(P), Log-Normal    FALSE #> 12376  774 0.7244019 0.153578398  fv Log-Normal RP(P), Log-Normal    FALSE #> 12392  775 0.6802586 0.143831811  fv Log-Normal RP(P), Log-Normal    FALSE #> 12408  776 0.6866827 0.146032205  fv Log-Normal RP(P), Log-Normal    FALSE #> 12424  777 0.6203969 0.132172613  fv Log-Normal RP(P), Log-Normal    FALSE #> 12440  778 0.7183854 0.158574836  fv Log-Normal RP(P), Log-Normal    FALSE #> 12456  779 0.6753122 0.144883399  fv Log-Normal RP(P), Log-Normal    FALSE #> 12472  780 0.6160541 0.131106508  fv Log-Normal RP(P), Log-Normal    FALSE #> 12488  781 0.7326720 0.155116377  fv Log-Normal RP(P), Log-Normal    FALSE #> 12504  782 0.6621541 0.142738346  fv Log-Normal RP(P), Log-Normal    FALSE #> 12520  783 0.6287083 0.133979151  fv Log-Normal RP(P), Log-Normal    FALSE #> 12536  784 0.8098296 0.172015664  fv Log-Normal RP(P), Log-Normal    FALSE #> 12552  785 0.4960243 0.106711922  fv Log-Normal RP(P), Log-Normal    FALSE #> 12568  786 0.6282832 0.132700908  fv Log-Normal RP(P), Log-Normal    FALSE #> 12584  787 1.0193503 0.214991602  fv Log-Normal RP(P), Log-Normal    FALSE #> 12600  788 0.7023544 0.148436749  fv Log-Normal RP(P), Log-Normal    FALSE #> 12616  789 0.9366437 0.198809199  fv Log-Normal RP(P), Log-Normal    FALSE #> 12632  790 0.7471967 0.159328647  fv Log-Normal RP(P), Log-Normal    FALSE #> 12648  791 0.4173760 0.089707369  fv Log-Normal RP(P), Log-Normal    FALSE #> 12664  792 0.5457081 0.116097924  fv Log-Normal RP(P), Log-Normal    FALSE #> 12680  793 0.8483324 0.177748663  fv Log-Normal RP(P), Log-Normal    FALSE #> 12696  794 0.6784384 0.143937841  fv Log-Normal RP(P), Log-Normal    FALSE #> 12712  795 0.6359556 0.134828170  fv Log-Normal RP(P), Log-Normal    FALSE #> 12728  796 0.6165200 0.132435256  fv Log-Normal RP(P), Log-Normal    FALSE #> 12744  797 0.6907832 0.150317886  fv Log-Normal RP(P), Log-Normal    FALSE #> 12760  798 0.4117881 0.088709883  fv Log-Normal RP(P), Log-Normal    FALSE #> 12776  799 0.7682074 0.162286568  fv Log-Normal RP(P), Log-Normal    FALSE #> 12792  800 0.7651115 0.163718433  fv Log-Normal RP(P), Log-Normal    FALSE #> 12808  801 0.9873650 0.205793074  fv Log-Normal RP(P), Log-Normal    FALSE #> 12824  802 0.8000314 0.169900579  fv Log-Normal RP(P), Log-Normal    FALSE #> 12840  803 0.6589400 0.139023748  fv Log-Normal RP(P), Log-Normal    FALSE #> 12856  804 0.7561575 0.159117690  fv Log-Normal RP(P), Log-Normal    FALSE #> 12872  805 0.8335457 0.177422828  fv Log-Normal RP(P), Log-Normal    FALSE #> 12888  806 0.7948196 0.167169091  fv Log-Normal RP(P), Log-Normal    FALSE #> 12904  807 0.6478946 0.137327899  fv Log-Normal RP(P), Log-Normal    FALSE #> 12920  808 0.5049294 0.107753449  fv Log-Normal RP(P), Log-Normal    FALSE #> 12936  809 0.6866783 0.146444220  fv Log-Normal RP(P), Log-Normal    FALSE #> 12952  810 0.8176093 0.175570535  fv Log-Normal RP(P), Log-Normal    FALSE #> 12968  811 0.4701681 0.101472086  fv Log-Normal RP(P), Log-Normal    FALSE #> 12984  812 0.7254187 0.154409760  fv Log-Normal RP(P), Log-Normal    FALSE #> 13000  813 0.8822935 0.186603747  fv Log-Normal RP(P), Log-Normal    FALSE #> 13016  814 0.6854783 0.145765097  fv Log-Normal RP(P), Log-Normal    FALSE #> 13032  815 0.6016377 0.128446956  fv Log-Normal RP(P), Log-Normal    FALSE #> 13048  816 0.7010985 0.149468580  fv Log-Normal RP(P), Log-Normal    FALSE #> 13064  817 0.4708990 0.102155376  fv Log-Normal RP(P), Log-Normal    FALSE #> 13080  818 0.6450147 0.137380618  fv Log-Normal RP(P), Log-Normal    FALSE #> 13096  819 0.8378345 0.176970921  fv Log-Normal RP(P), Log-Normal    FALSE #> 13112  820 0.8576343 0.180150135  fv Log-Normal RP(P), Log-Normal    FALSE #> 13128  821 0.5662469 0.120721140  fv Log-Normal RP(P), Log-Normal    FALSE #> 13144  822 0.8889136 0.187187876  fv Log-Normal RP(P), Log-Normal    FALSE #> 13160  823 0.9775185 0.205187695  fv Log-Normal RP(P), Log-Normal    FALSE #> 13176  824 0.9211403 0.195513547  fv Log-Normal RP(P), Log-Normal    FALSE #> 13192  825 0.7635747 0.160829429  fv Log-Normal RP(P), Log-Normal    FALSE #> 13208  826 0.8164489 0.174414205  fv Log-Normal RP(P), Log-Normal    FALSE #> 13224  827 0.8926966 0.188893449  fv Log-Normal RP(P), Log-Normal    FALSE #> 13240  828 0.7527147 0.166002735  fv Log-Normal RP(P), Log-Normal    FALSE #> 13256  829 0.7122050 0.151290715  fv Log-Normal RP(P), Log-Normal    FALSE #> 13272  830 0.8138187 0.170842420  fv Log-Normal RP(P), Log-Normal    FALSE #> 13288  831 0.8730454 0.184519785  fv Log-Normal RP(P), Log-Normal    FALSE #> 13304  832 0.5916892 0.128420243  fv Log-Normal RP(P), Log-Normal    FALSE #> 13320  833 0.8830502 0.188067591  fv Log-Normal RP(P), Log-Normal    FALSE #> 13336  834 0.6506210 0.138700701  fv Log-Normal RP(P), Log-Normal    FALSE #> 13352  835 0.6835081 0.144988682  fv Log-Normal RP(P), Log-Normal    FALSE #> 13368  836 0.7839667 0.166049829  fv Log-Normal RP(P), Log-Normal    FALSE #> 13384  837 0.7779566 0.164337100  fv Log-Normal RP(P), Log-Normal    FALSE #> 13400  838 0.7060874 0.150748480  fv Log-Normal RP(P), Log-Normal    FALSE #> 13416  839 0.5924718 0.126535761  fv Log-Normal RP(P), Log-Normal    FALSE #> 13432  840 0.6193618 0.130899012  fv Log-Normal RP(P), Log-Normal    FALSE #> 13448  841 0.9297818 0.194868377  fv Log-Normal RP(P), Log-Normal    FALSE #> 13464  842 0.5606622 0.119736556  fv Log-Normal RP(P), Log-Normal    FALSE #> 13480  843 0.6762162 0.144251070  fv Log-Normal RP(P), Log-Normal    FALSE #> 13496  844 0.9144180 0.191981506  fv Log-Normal RP(P), Log-Normal    FALSE #> 13512  845 0.9881628 0.211034090  fv Log-Normal RP(P), Log-Normal    FALSE #> 13528  846 0.5534972 0.118336281  fv Log-Normal RP(P), Log-Normal    FALSE #> 13544  847 1.0290028 0.214054040  fv Log-Normal RP(P), Log-Normal    FALSE #> 13560  848 0.8411118 0.179136575  fv Log-Normal RP(P), Log-Normal    FALSE #> 13576  849 0.6203488 0.132377496  fv Log-Normal RP(P), Log-Normal    FALSE #> 13592  850 0.8147564 0.170744905  fv Log-Normal RP(P), Log-Normal    FALSE #> 13608  851 0.6998219 0.148832242  fv Log-Normal RP(P), Log-Normal    FALSE #> 13624  852 0.7564399 0.162157304  fv Log-Normal RP(P), Log-Normal    FALSE #> 13640  853 1.0395607 0.217703991  fv Log-Normal RP(P), Log-Normal    FALSE #> 13656  854 0.7111847 0.153481986  fv Log-Normal RP(P), Log-Normal    FALSE #> 13672  855 0.6556235 0.141046741  fv Log-Normal RP(P), Log-Normal    FALSE #> 13688  856 0.8817583 0.185649134  fv Log-Normal RP(P), Log-Normal    FALSE #> 13704  857 0.8236771 0.176693971  fv Log-Normal RP(P), Log-Normal    FALSE #> 13720  858 1.0746228 0.225811089  fv Log-Normal RP(P), Log-Normal    FALSE #> 13736  859 0.9032464 0.189257870  fv Log-Normal RP(P), Log-Normal    FALSE #> 13752  860 0.6669187 0.140695981  fv Log-Normal RP(P), Log-Normal    FALSE #> 13768  861 0.4674381 0.100584211  fv Log-Normal RP(P), Log-Normal    FALSE #> 13784  862 0.6539350 0.139109487  fv Log-Normal RP(P), Log-Normal    FALSE #> 13800  863 0.6985242 0.149374254  fv Log-Normal RP(P), Log-Normal    FALSE #> 13816  864 0.9300939 0.195732499  fv Log-Normal RP(P), Log-Normal    FALSE #> 13832  865 0.9147309 0.192068804  fv Log-Normal RP(P), Log-Normal    FALSE #> 13848  866 0.7371777 0.155715515  fv Log-Normal RP(P), Log-Normal    FALSE #> 13864  867 0.6011364 0.129343485  fv Log-Normal RP(P), Log-Normal    FALSE #> 13880  868 0.9004135 0.190191869  fv Log-Normal RP(P), Log-Normal    FALSE #> 13896  869 0.5327774 0.115070470  fv Log-Normal RP(P), Log-Normal    FALSE #> 13912  870 0.7729887 0.162396364  fv Log-Normal RP(P), Log-Normal    FALSE #> 13928  871 0.5056960 0.108030427  fv Log-Normal RP(P), Log-Normal    FALSE #> 13944  872 0.4679061 0.100976748  fv Log-Normal RP(P), Log-Normal    FALSE #> 13960  873 0.8761508 0.183471906  fv Log-Normal RP(P), Log-Normal    FALSE #> 13976  874 0.7799599 0.169034662  fv Log-Normal RP(P), Log-Normal    FALSE #> 13992  875 0.6787270 0.145232289  fv Log-Normal RP(P), Log-Normal    FALSE #> 14008  876 0.6180641 0.132265443  fv Log-Normal RP(P), Log-Normal    FALSE #> 14024  877 0.5860993 0.126704444  fv Log-Normal RP(P), Log-Normal    FALSE #> 14040  878 0.6935008 0.147945921  fv Log-Normal RP(P), Log-Normal    FALSE #> 14056  879 0.6991619 0.148966789  fv Log-Normal RP(P), Log-Normal    FALSE #> 14072  880 0.8484464 0.178825011  fv Log-Normal RP(P), Log-Normal    FALSE #> 14088  881 0.5680401 0.122215485  fv Log-Normal RP(P), Log-Normal    FALSE #> 14104  882 0.7194115 0.152466317  fv Log-Normal RP(P), Log-Normal    FALSE #> 14120  883 0.6455610 0.138335850  fv Log-Normal RP(P), Log-Normal    FALSE #> 14136  884 0.5987946 0.129856482  fv Log-Normal RP(P), Log-Normal    FALSE #> 14152  885 0.7790563 0.165257741  fv Log-Normal RP(P), Log-Normal    FALSE #> 14168  886 0.6659939 0.143104558  fv Log-Normal RP(P), Log-Normal    FALSE #> 14184  887 0.3835719 0.083984835  fv Log-Normal RP(P), Log-Normal    FALSE #> 14200  888 0.6800915 0.145916762  fv Log-Normal RP(P), Log-Normal    FALSE #> 14216  889 0.7790675 0.168710053  fv Log-Normal RP(P), Log-Normal    FALSE #> 14232  890 0.7112296 0.150790256  fv Log-Normal RP(P), Log-Normal    FALSE #> 14248  891 0.7533556 0.158934342  fv Log-Normal RP(P), Log-Normal    FALSE #> 14264  892 1.0280236 0.216825888  fv Log-Normal RP(P), Log-Normal    FALSE #> 14280  893 0.4979805 0.108875811  fv Log-Normal RP(P), Log-Normal    FALSE #> 14296  894 0.5899637 0.125759510  fv Log-Normal RP(P), Log-Normal    FALSE #> 14312  895 0.8458281 0.181512736  fv Log-Normal RP(P), Log-Normal    FALSE #> 14328  896 0.6045651 0.132440253  fv Log-Normal RP(P), Log-Normal    FALSE #> 14344  897 0.6866283 0.146988855  fv Log-Normal RP(P), Log-Normal    FALSE #> 14360  898 0.9461391 0.207475067  fv Log-Normal RP(P), Log-Normal    FALSE #> 14376  899 0.9445390 0.209309102  fv Log-Normal RP(P), Log-Normal    FALSE #> 14392  900 0.7393498 0.158497566  fv Log-Normal RP(P), Log-Normal    FALSE #> 14408  901 0.7860897 0.165549053  fv Log-Normal RP(P), Log-Normal    FALSE #> 14424  902 0.8546871 0.180690608  fv Log-Normal RP(P), Log-Normal    FALSE #> 14440  903 0.5857383 0.126360181  fv Log-Normal RP(P), Log-Normal    FALSE #> 14456  904 0.7061914 0.151616081  fv Log-Normal RP(P), Log-Normal    FALSE #> 14472  905 0.7376254 0.156073478  fv Log-Normal RP(P), Log-Normal    FALSE #> 14488  906 0.7232913 0.153209296  fv Log-Normal RP(P), Log-Normal    FALSE #> 14504  907 0.6382404 0.136709915  fv Log-Normal RP(P), Log-Normal    FALSE #> 14520  908 0.5651374 0.123783693  fv Log-Normal RP(P), Log-Normal    FALSE #> 14536  909 0.9548552 0.202591456  fv Log-Normal RP(P), Log-Normal    FALSE #> 14552  910 0.6873823 0.148859446  fv Log-Normal RP(P), Log-Normal    FALSE #> 14568  911 0.6891131 0.146179957  fv Log-Normal RP(P), Log-Normal    FALSE #> 14584  912 0.3917437 0.085173152  fv Log-Normal RP(P), Log-Normal    FALSE #> 14600  913 0.6144485 0.130166853  fv Log-Normal RP(P), Log-Normal    FALSE #> 14616  914 0.8656710 0.182025187  fv Log-Normal RP(P), Log-Normal    FALSE #> 14632  915 0.6897622 0.146139260  fv Log-Normal RP(P), Log-Normal    FALSE #> 14648  916 0.7306908 0.154546332  fv Log-Normal RP(P), Log-Normal    FALSE #> 14664  917 0.5319260 0.114753494  fv Log-Normal RP(P), Log-Normal    FALSE #> 14680  918 0.5755386 0.122888377  fv Log-Normal RP(P), Log-Normal    FALSE #> 14696  919 0.6552902 0.138537843  fv Log-Normal RP(P), Log-Normal    FALSE #> 14712  920 0.6870121 0.145734240  fv Log-Normal RP(P), Log-Normal    FALSE #> 14728  921 1.1915721 0.250004473  fv Log-Normal RP(P), Log-Normal     TRUE #> 14744  922 0.6152027 0.130501228  fv Log-Normal RP(P), Log-Normal    FALSE #> 14760  923 1.0916553 0.230692777  fv Log-Normal RP(P), Log-Normal    FALSE #> 14776  924 0.6760298 0.142944236  fv Log-Normal RP(P), Log-Normal    FALSE #> 14792  925 0.7494020 0.158189841  fv Log-Normal RP(P), Log-Normal    FALSE #> 14808  926 0.9539570 0.201126456  fv Log-Normal RP(P), Log-Normal    FALSE #> 14824  927 0.8094500 0.170148180  fv Log-Normal RP(P), Log-Normal    FALSE #> 14840  928 0.6872926 0.144714385  fv Log-Normal RP(P), Log-Normal    FALSE #> 14856  929 0.7639833 0.160366801  fv Log-Normal RP(P), Log-Normal    FALSE #> 14872  930 0.5785785 0.123893681  fv Log-Normal RP(P), Log-Normal    FALSE #> 14888  931 0.8122490 0.171642861  fv Log-Normal RP(P), Log-Normal    FALSE #> 14904  932 0.5424141 0.116670467  fv Log-Normal RP(P), Log-Normal    FALSE #> 14920  933 0.5758885 0.122632998  fv Log-Normal RP(P), Log-Normal    FALSE #> 14936  934 0.6847454 0.144785290  fv Log-Normal RP(P), Log-Normal    FALSE #> 14952  935 0.8990435 0.189337431  fv Log-Normal RP(P), Log-Normal    FALSE #> 14968  936 0.7029922 0.148015811  fv Log-Normal RP(P), Log-Normal    FALSE #> 14984  937 0.8511214 0.180869991  fv Log-Normal RP(P), Log-Normal    FALSE #> 15000  938 0.9018481 0.192865935  fv Log-Normal RP(P), Log-Normal    FALSE #> 15016  939 0.5681631 0.120827024  fv Log-Normal RP(P), Log-Normal    FALSE #> 15032  940 0.8683425 0.190570808  fv Log-Normal RP(P), Log-Normal    FALSE #> 15048  941 0.4731799 0.101370652  fv Log-Normal RP(P), Log-Normal    FALSE #> 15064  942 0.8718579 0.184619662  fv Log-Normal RP(P), Log-Normal    FALSE #> 15080  943 0.5215956 0.111687693  fv Log-Normal RP(P), Log-Normal    FALSE #> 15096  944 0.6585742 0.139791246  fv Log-Normal RP(P), Log-Normal    FALSE #> 15112  945 0.9998814 0.208886842  fv Log-Normal RP(P), Log-Normal    FALSE #> 15128  946 0.8286117 0.174615350  fv Log-Normal RP(P), Log-Normal    FALSE #> 15144  947 0.8353904 0.175679093  fv Log-Normal RP(P), Log-Normal    FALSE #> 15160  948 0.4626225 0.099317399  fv Log-Normal RP(P), Log-Normal    FALSE #> 15176  949 0.7781009 0.168477774  fv Log-Normal RP(P), Log-Normal    FALSE #> 15192  950 0.7759783 0.163272466  fv Log-Normal RP(P), Log-Normal    FALSE #> 15208  951 0.5897491 0.127953505  fv Log-Normal RP(P), Log-Normal    FALSE #> 15224  952 0.6290545 0.134915562  fv Log-Normal RP(P), Log-Normal    FALSE #> 15240  953 0.6030549 0.128014906  fv Log-Normal RP(P), Log-Normal    FALSE #> 15256  954 0.8211460 0.173732484  fv Log-Normal RP(P), Log-Normal    FALSE #> 15272  955 0.7009093 0.148157664  fv Log-Normal RP(P), Log-Normal    FALSE #> 15288  956 0.8915759 0.187676590  fv Log-Normal RP(P), Log-Normal    FALSE #> 15304  957 0.6267329 0.133922808  fv Log-Normal RP(P), Log-Normal    FALSE #> 15320  958 0.6016424 0.128035145  fv Log-Normal RP(P), Log-Normal    FALSE #> 15336  959 0.6840954 0.143990005  fv Log-Normal RP(P), Log-Normal    FALSE #> 15352  960 0.5972503 0.128658505  fv Log-Normal RP(P), Log-Normal    FALSE #> 15368  961 0.8240171 0.173195111  fv Log-Normal RP(P), Log-Normal    FALSE #> 15384  962 0.8506117 0.181056393  fv Log-Normal RP(P), Log-Normal    FALSE #> 15400  963 0.8979819 0.188022071  fv Log-Normal RP(P), Log-Normal    FALSE #> 15416  964 0.6863717 0.145397560  fv Log-Normal RP(P), Log-Normal    FALSE #> 15432  965 0.5656577 0.120857677  fv Log-Normal RP(P), Log-Normal    FALSE #> 15448  966 1.0575889 0.222503361  fv Log-Normal RP(P), Log-Normal    FALSE #> 15464  967 0.9055166 0.192117872  fv Log-Normal RP(P), Log-Normal    FALSE #> 15480  968 0.8399767 0.178050315  fv Log-Normal RP(P), Log-Normal    FALSE #> 15496  969 1.0258198 0.213819100  fv Log-Normal RP(P), Log-Normal    FALSE #> 15512  970 0.7745776 0.163833552  fv Log-Normal RP(P), Log-Normal    FALSE #> 15528  971 0.9605636 0.200926578  fv Log-Normal RP(P), Log-Normal    FALSE #> 15544  972 0.6146916 0.130993578  fv Log-Normal RP(P), Log-Normal    FALSE #> 15560  973 0.9199785 0.192746059  fv Log-Normal RP(P), Log-Normal    FALSE #> 15576  974 0.9125999 0.192011883  fv Log-Normal RP(P), Log-Normal    FALSE #> 15592  975 1.0480335 0.219730800  fv Log-Normal RP(P), Log-Normal    FALSE #> 15608  976 0.8193862 0.179589718  fv Log-Normal RP(P), Log-Normal    FALSE #> 15624  977 1.1556586 0.244268056  fv Log-Normal RP(P), Log-Normal     TRUE #> 15640  978 0.8382332 0.180255798  fv Log-Normal RP(P), Log-Normal    FALSE #> 15656  979 0.6259659 0.132736866  fv Log-Normal RP(P), Log-Normal    FALSE #> 15672  980 0.8406804 0.182112889  fv Log-Normal RP(P), Log-Normal    FALSE #> 15688  981 0.6702017 0.142022616  fv Log-Normal RP(P), Log-Normal    FALSE #> 15704  982 0.7070367 0.153212663  fv Log-Normal RP(P), Log-Normal    FALSE #> 15720  983 0.7404223 0.156213950  fv Log-Normal RP(P), Log-Normal    FALSE #> 15736  984 0.6419067 0.135852588  fv Log-Normal RP(P), Log-Normal    FALSE #> 15752  985 0.8310183 0.173870127  fv Log-Normal RP(P), Log-Normal    FALSE #> 15768  986 0.7701285 0.162750927  fv Log-Normal RP(P), Log-Normal    FALSE #> 15784  987 0.6682787 0.141252244  fv Log-Normal RP(P), Log-Normal    FALSE #> 15800  988 0.9022389 0.190619051  fv Log-Normal RP(P), Log-Normal    FALSE #> 15816  989 0.9754269 0.206348524  fv Log-Normal RP(P), Log-Normal    FALSE #> 15832  990 0.7016794 0.147600528  fv Log-Normal RP(P), Log-Normal    FALSE #> 15848  991 0.7990861 0.167185785  fv Log-Normal RP(P), Log-Normal    FALSE #> 15864  992 0.7155265 0.151583447  fv Log-Normal RP(P), Log-Normal    FALSE #> 15880  993 0.7555724 0.158552064  fv Log-Normal RP(P), Log-Normal    FALSE #> 15896  994 0.7013507 0.151341125  fv Log-Normal RP(P), Log-Normal    FALSE #> 15912  995 0.6369622 0.137876294  fv Log-Normal RP(P), Log-Normal    FALSE #> 15928  996 0.7173666 0.152233112  fv Log-Normal RP(P), Log-Normal    FALSE #> 15944  997 0.7181560 0.152642728  fv Log-Normal RP(P), Log-Normal    FALSE #> 15960  998 0.6523091 0.140451142  fv Log-Normal RP(P), Log-Normal    FALSE #> 15976  999 0.8016289 0.171180170  fv Log-Normal RP(P), Log-Normal    FALSE #> 15992 1000 0.7201794 0.155276856  fv Log-Normal RP(P), Log-Normal    FALSE  # Using regular standardisation: dropbig(   data = frailty2, estvarname = \"b\", se = \"se\",   methodvar = \"model\", by = \"fv_dist\", max = 2, semax = 2, robust = FALSE ) #>          i         b          se par    fv_dist             model .dropbig #> 1        1 0.6569546 0.125696425  fv      Gamma        Cox, Gamma    FALSE #> 17       2 0.6613376 0.129510423  fv      Gamma        Cox, Gamma    FALSE #> 33       3 1.0953274 0.206427350  fv      Gamma        Cox, Gamma     TRUE #> 49       4 0.8406551 0.156744704  fv      Gamma        Cox, Gamma    FALSE #> 65       5 0.7027899 0.135173710  fv      Gamma        Cox, Gamma    FALSE #> 81       6 0.7745830 0.145766148  fv      Gamma        Cox, Gamma    FALSE #> 97       7 0.6471639 0.124092810  fv      Gamma        Cox, Gamma    FALSE #> 113      8 0.9999895 0.185104048  fv      Gamma        Cox, Gamma    FALSE #> 129      9 0.8249801 0.156193824  fv      Gamma        Cox, Gamma    FALSE #> 145     10 0.8173031 0.154691420  fv      Gamma        Cox, Gamma    FALSE #> 161     11 0.8131207 0.155467829  fv      Gamma        Cox, Gamma    FALSE #> 177     12 0.9917031 0.183639448  fv      Gamma        Cox, Gamma    FALSE #> 193     13 0.9497115 0.177544292  fv      Gamma        Cox, Gamma    FALSE #> 209     14 0.5818812 0.115038898  fv      Gamma        Cox, Gamma    FALSE #> 225     15 0.8821317          NA  fv      Gamma        Cox, Gamma       NA #> 241     16 1.0080549 0.185306797  fv      Gamma        Cox, Gamma    FALSE #> 257     17 0.5966007          NA  fv      Gamma        Cox, Gamma       NA #> 273     18 0.4670966 0.096268874  fv      Gamma        Cox, Gamma    FALSE #> 289     19 0.7333278 0.139560619  fv      Gamma        Cox, Gamma    FALSE #> 305     20 0.9569888 0.178946282  fv      Gamma        Cox, Gamma    FALSE #> 321     21 0.5534068 0.111432621  fv      Gamma        Cox, Gamma    FALSE #> 337     22 0.8922715 0.168260755  fv      Gamma        Cox, Gamma    FALSE #> 353     23 0.6148386 0.118749326  fv      Gamma        Cox, Gamma    FALSE #> 369     24 0.7503412 0.141751724  fv      Gamma        Cox, Gamma    FALSE #> 385     25 0.7795077 0.147239297  fv      Gamma        Cox, Gamma    FALSE #> 401     26 0.7226755 0.138933052  fv      Gamma        Cox, Gamma    FALSE #> 417     27 1.1454385 0.211444516  fv      Gamma        Cox, Gamma     TRUE #> 433     28 1.0146311 0.187317613  fv      Gamma        Cox, Gamma    FALSE #> 449     29 0.9243730 0.171650779  fv      Gamma        Cox, Gamma    FALSE #> 465     30 0.9627598 0.180455732  fv      Gamma        Cox, Gamma    FALSE #> 481     31 0.6097090 0.120254015  fv      Gamma        Cox, Gamma    FALSE #> 497     32 0.7776626 0.148059501  fv      Gamma        Cox, Gamma    FALSE #> 513     33 0.5967068 0.115380144  fv      Gamma        Cox, Gamma    FALSE #> 529     34 0.5604221 0.109501220  fv      Gamma        Cox, Gamma    FALSE #> 545     35 0.7513179 0.145994135  fv      Gamma        Cox, Gamma    FALSE #> 561     36 0.6005370 0.119633066  fv      Gamma        Cox, Gamma    FALSE #> 577     37 0.5965864 0.115755917  fv      Gamma        Cox, Gamma    FALSE #> 593     38 0.5250277 0.103624408  fv      Gamma        Cox, Gamma    FALSE #> 609     39 0.7131612 0.135237995  fv      Gamma        Cox, Gamma    FALSE #> 625     40 0.4799652 0.095913495  fv      Gamma        Cox, Gamma    FALSE #> 641     41 1.1936478 0.213913615  fv      Gamma        Cox, Gamma     TRUE #> 657     42 0.7119055 0.138537976  fv      Gamma        Cox, Gamma    FALSE #> 673     43 0.8157571 0.153496265  fv      Gamma        Cox, Gamma    FALSE #> 689     44 0.8510680 0.159321249  fv      Gamma        Cox, Gamma    FALSE #> 705     45 0.7759695 0.146268948  fv      Gamma        Cox, Gamma    FALSE #> 721     46 0.7346442 0.139055138  fv      Gamma        Cox, Gamma    FALSE #> 737     47 0.9080543 0.172117120  fv      Gamma        Cox, Gamma    FALSE #> 753     48 0.7536020 0.144378149  fv      Gamma        Cox, Gamma    FALSE #> 769     49 0.7841137 0.149576489  fv      Gamma        Cox, Gamma    FALSE #> 785     50 0.7177537 0.136129350  fv      Gamma        Cox, Gamma    FALSE #> 801     51 0.8978122 0.167355928  fv      Gamma        Cox, Gamma    FALSE #> 817     52 0.6175795 0.122643583  fv      Gamma        Cox, Gamma    FALSE #> 833     53 0.6747666 0.130004394  fv      Gamma        Cox, Gamma    FALSE #> 849     54 0.5300899 0.104816453  fv      Gamma        Cox, Gamma    FALSE #> 865     55 0.7787970 0.147506719  fv      Gamma        Cox, Gamma    FALSE #> 881     56 0.7118185 0.137916725  fv      Gamma        Cox, Gamma    FALSE #> 897     57 0.7858698 0.147909226  fv      Gamma        Cox, Gamma    FALSE #> 913     58 0.6599301 0.129157781  fv      Gamma        Cox, Gamma    FALSE #> 929     59 0.7204171 0.137316794  fv      Gamma        Cox, Gamma    FALSE #> 945     60 0.7932676 0.149975681  fv      Gamma        Cox, Gamma    FALSE #> 961     61 0.6694679 0.127685261  fv      Gamma        Cox, Gamma    FALSE #> 977     62 0.6581751 0.128702271  fv      Gamma        Cox, Gamma    FALSE #> 993     63 0.8591200 0.161433261  fv      Gamma        Cox, Gamma    FALSE #> 1009    64 0.6534059 0.125264584  fv      Gamma        Cox, Gamma    FALSE #> 1025    65 0.6942950 0.131759071  fv      Gamma        Cox, Gamma    FALSE #> 1041    66 0.5443571 0.107289026  fv      Gamma        Cox, Gamma    FALSE #> 1057    67 0.8156791 0.152361675  fv      Gamma        Cox, Gamma    FALSE #> 1073    68 0.7439907 0.141612286  fv      Gamma        Cox, Gamma    FALSE #> 1089    69 0.5563484 0.109062941  fv      Gamma        Cox, Gamma    FALSE #> 1105    70 0.7094223 0.138731564  fv      Gamma        Cox, Gamma    FALSE #> 1121    71 0.9385094 0.173908062  fv      Gamma        Cox, Gamma    FALSE #> 1137    72 0.6524139 0.125365577  fv      Gamma        Cox, Gamma    FALSE #> 1153    73 0.4720556 0.093786069  fv      Gamma        Cox, Gamma    FALSE #> 1169    74 0.6739725 0.128962357  fv      Gamma        Cox, Gamma    FALSE #> 1185    75 0.6948754 0.133454468  fv      Gamma        Cox, Gamma    FALSE #> 1201    76 0.6981009 0.137070297  fv      Gamma        Cox, Gamma    FALSE #> 1217    77 0.7876992 0.150774294  fv      Gamma        Cox, Gamma    FALSE #> 1233    78 1.0321320 0.191564904  fv      Gamma        Cox, Gamma     TRUE #> 1249    79 1.3305115 0.241107247  fv      Gamma        Cox, Gamma     TRUE #> 1265    80 0.6233959          NA  fv      Gamma        Cox, Gamma       NA #> 1281    81 0.9222954 0.175122280  fv      Gamma        Cox, Gamma    FALSE #> 1297    82 0.7312982 0.138898303  fv      Gamma        Cox, Gamma    FALSE #> 1313    83 0.4805826 0.099069389  fv      Gamma        Cox, Gamma    FALSE #> 1329    84 0.7162687 0.135900182  fv      Gamma        Cox, Gamma    FALSE #> 1345    85 0.7361328 0.139875756  fv      Gamma        Cox, Gamma    FALSE #> 1361    86 0.7164863 0.136540922  fv      Gamma        Cox, Gamma    FALSE #> 1377    87 0.5816154 0.112900191  fv      Gamma        Cox, Gamma    FALSE #> 1393    88 0.7229512 0.137090004  fv      Gamma        Cox, Gamma    FALSE #> 1409    89 0.7304707 0.138664712  fv      Gamma        Cox, Gamma    FALSE #> 1425    90 0.8836079 0.164198901  fv      Gamma        Cox, Gamma    FALSE #> 1441    91 0.7189481          NA  fv      Gamma        Cox, Gamma       NA #> 1457    92 0.6588464 0.126022294  fv      Gamma        Cox, Gamma    FALSE #> 1473    93 0.9816849 0.189387187  fv      Gamma        Cox, Gamma    FALSE #> 1489    94 0.8230985 0.157285147  fv      Gamma        Cox, Gamma    FALSE #> 1505    95 0.7466798 0.141511812  fv      Gamma        Cox, Gamma    FALSE #> 1521    96 0.4641167 0.092989583  fv      Gamma        Cox, Gamma    FALSE #> 1537    97 0.5859572 0.113349778  fv      Gamma        Cox, Gamma    FALSE #> 1553    98 0.8012617 0.151058934  fv      Gamma        Cox, Gamma    FALSE #> 1569    99 0.5711848 0.112322499  fv      Gamma        Cox, Gamma    FALSE #> 1585   100 0.8500351 0.158095260  fv      Gamma        Cox, Gamma    FALSE #> 1601   101 0.8357950 0.155451666  fv      Gamma        Cox, Gamma    FALSE #> 1617   102 0.7019364 0.133488910  fv      Gamma        Cox, Gamma    FALSE #> 1633   103 0.8787124 0.167784796  fv      Gamma        Cox, Gamma    FALSE #> 1649   104 0.7382161 0.139205129  fv      Gamma        Cox, Gamma    FALSE #> 1665   105 0.8438084 0.159385939  fv      Gamma        Cox, Gamma    FALSE #> 1681   106 0.7100979 0.135186030  fv      Gamma        Cox, Gamma    FALSE #> 1697   107 0.8909452 0.169147434  fv      Gamma        Cox, Gamma    FALSE #> 1713   108 0.7774559 0.150824798  fv      Gamma        Cox, Gamma    FALSE #> 1729   109 0.6953965 0.134268584  fv      Gamma        Cox, Gamma    FALSE #> 1745   110 0.7992946 0.150758285  fv      Gamma        Cox, Gamma    FALSE #> 1761   111 0.8471403 0.159125513  fv      Gamma        Cox, Gamma    FALSE #> 1777   112 0.4643017 0.092950661  fv      Gamma        Cox, Gamma    FALSE #> 1793   113 0.5483133 0.107644803  fv      Gamma        Cox, Gamma    FALSE #> 1809   114 1.1737434 0.213064251  fv      Gamma        Cox, Gamma     TRUE #> 1825   115 0.6447690 0.123844155  fv      Gamma        Cox, Gamma    FALSE #> 1841   116 0.5122411 0.101175678  fv      Gamma        Cox, Gamma    FALSE #> 1857   117 0.7563907 0.142289904  fv      Gamma        Cox, Gamma    FALSE #> 1873   118 0.5579905 0.109454501  fv      Gamma        Cox, Gamma    FALSE #> 1889   119 0.6022598 0.116858325  fv      Gamma        Cox, Gamma    FALSE #> 1905   120 0.7124728 0.135859121  fv      Gamma        Cox, Gamma    FALSE #> 1921   121 0.6402494 0.124028005  fv      Gamma        Cox, Gamma    FALSE #> 1937   122 0.6346064 0.122733103  fv      Gamma        Cox, Gamma    FALSE #> 1953   123 0.7902516 0.149333148  fv      Gamma        Cox, Gamma    FALSE #> 1969   124 0.7329650 0.138554104  fv      Gamma        Cox, Gamma    FALSE #> 1985   125 0.8161002 0.155025922  fv      Gamma        Cox, Gamma    FALSE #> 2001   126 0.9990640 0.191074644  fv      Gamma        Cox, Gamma    FALSE #> 2017   127 0.8700787 0.162375752  fv      Gamma        Cox, Gamma    FALSE #> 2033   128 0.8619723 0.161242325  fv      Gamma        Cox, Gamma    FALSE #> 2049   129 0.5981983 0.118892839  fv      Gamma        Cox, Gamma    FALSE #> 2065   130 0.6716077 0.128978878  fv      Gamma        Cox, Gamma    FALSE #> 2081   131 0.6123596 0.117347356  fv      Gamma        Cox, Gamma    FALSE #> 2097   132 0.7632396 0.147960034  fv      Gamma        Cox, Gamma    FALSE #> 2113   133 0.7684878 0.147084782  fv      Gamma        Cox, Gamma    FALSE #> 2129   134 0.7563895 0.143358097  fv      Gamma        Cox, Gamma    FALSE #> 2145   135 0.5840973 0.113775282  fv      Gamma        Cox, Gamma    FALSE #> 2161   136 0.8139715 0.154214677  fv      Gamma        Cox, Gamma    FALSE #> 2177   137 0.8279570 0.155323396  fv      Gamma        Cox, Gamma    FALSE #> 2193   138 0.9684096 0.181892869  fv      Gamma        Cox, Gamma    FALSE #> 2209   139 0.6380475 0.122896692  fv      Gamma        Cox, Gamma    FALSE #> 2225   140 0.7126356          NA  fv      Gamma        Cox, Gamma       NA #> 2241   141 0.5544497 0.005829212  fv      Gamma        Cox, Gamma     TRUE #> 2257   142 0.6984548 0.133299410  fv      Gamma        Cox, Gamma    FALSE #> 2273   143 1.1447313 0.218348635  fv      Gamma        Cox, Gamma     TRUE #> 2289   144 0.8534851 0.158864910  fv      Gamma        Cox, Gamma    FALSE #> 2305   145 0.6954310 0.132985154  fv      Gamma        Cox, Gamma    FALSE #> 2321   146 0.6862429 0.131920086  fv      Gamma        Cox, Gamma    FALSE #> 2337   147 0.8487307 0.158487657  fv      Gamma        Cox, Gamma    FALSE #> 2353   148 0.5181133 0.101967871  fv      Gamma        Cox, Gamma    FALSE #> 2369   149 0.6841244 0.131624816  fv      Gamma        Cox, Gamma    FALSE #> 2385   150 0.8869154 0.165727435  fv      Gamma        Cox, Gamma    FALSE #> 2401   151 0.8331944 0.156397071  fv      Gamma        Cox, Gamma    FALSE #> 2417   152 0.7961492 0.152467958  fv      Gamma        Cox, Gamma    FALSE #> 2433   153 0.4915269 0.097749704  fv      Gamma        Cox, Gamma    FALSE #> 2449   154 0.8353449 0.156425229  fv      Gamma        Cox, Gamma    FALSE #> 2465   155 0.6917804 0.135298989  fv      Gamma        Cox, Gamma    FALSE #> 2481   156 0.7141483 0.135622707  fv      Gamma        Cox, Gamma    FALSE #> 2497   157 0.9579114 0.180865947  fv      Gamma        Cox, Gamma    FALSE #> 2513   158 0.9919173 0.186831104  fv      Gamma        Cox, Gamma    FALSE #> 2529   159 0.5056687 0.100572196  fv      Gamma        Cox, Gamma    FALSE #> 2545   160 0.5668849 0.110729771  fv      Gamma        Cox, Gamma    FALSE #> 2561   161 1.1593267 0.211623189  fv      Gamma        Cox, Gamma     TRUE #> 2577   162 0.6686198 0.129654468  fv      Gamma        Cox, Gamma    FALSE #> 2593   163 0.5947095 0.115432055  fv      Gamma        Cox, Gamma    FALSE #> 2609   164 0.9409729 0.174195456  fv      Gamma        Cox, Gamma    FALSE #> 2625   165 0.7712525 0.145156218  fv      Gamma        Cox, Gamma    FALSE #> 2641   166 0.7944783 0.152945382  fv      Gamma        Cox, Gamma    FALSE #> 2657   167 0.8759279 0.163421782  fv      Gamma        Cox, Gamma    FALSE #> 2673   168 0.9305016 0.172681632  fv      Gamma        Cox, Gamma    FALSE #> 2689   169 0.6998018 0.134466938  fv      Gamma        Cox, Gamma    FALSE #> 2705   170 0.6956819 0.133436242  fv      Gamma        Cox, Gamma    FALSE #> 2721   171 0.6792319 0.131731221  fv      Gamma        Cox, Gamma    FALSE #> 2737   172 0.8680243 0.162039061  fv      Gamma        Cox, Gamma    FALSE #> 2753   173 0.5991408 0.117150299  fv      Gamma        Cox, Gamma    FALSE #> 2769   174 0.8197266 0.154957877  fv      Gamma        Cox, Gamma    FALSE #> 2785   175 0.6402142 0.124225276  fv      Gamma        Cox, Gamma    FALSE #> 2801   176 0.6677623 0.127397054  fv      Gamma        Cox, Gamma    FALSE #> 2817   177 0.5600635 0.111041351  fv      Gamma        Cox, Gamma    FALSE #> 2833   178 0.8664575 0.161085253  fv      Gamma        Cox, Gamma    FALSE #> 2849   179 0.5696270 0.110580250  fv      Gamma        Cox, Gamma    FALSE #> 2865   180 0.7490451 0.145597001  fv      Gamma        Cox, Gamma    FALSE #> 2881   181 0.8332298 0.156165685  fv      Gamma        Cox, Gamma    FALSE #> 2897   182 0.7299111 0.138267866  fv      Gamma        Cox, Gamma    FALSE #> 2913   183 0.5643054 0.109921943  fv      Gamma        Cox, Gamma    FALSE #> 2929   184 0.6713498 0.129903821  fv      Gamma        Cox, Gamma    FALSE #> 2945   185 0.8565735 0.161036493  fv      Gamma        Cox, Gamma    FALSE #> 2961   186 0.9053793 0.172727818  fv      Gamma        Cox, Gamma    FALSE #> 2977   187 0.7412392 0.141072766  fv      Gamma        Cox, Gamma    FALSE #> 2993   188 0.5539059 0.108329615  fv      Gamma        Cox, Gamma    FALSE #> 3009   189 0.7630802 0.144798954  fv      Gamma        Cox, Gamma    FALSE #> 3025   190 0.7739996 0.145679338  fv      Gamma        Cox, Gamma    FALSE #> 3041   191 0.7531330 0.142505520  fv      Gamma        Cox, Gamma    FALSE #> 3057   192 0.7746974 0.149498584  fv      Gamma        Cox, Gamma    FALSE #> 3073   193 0.6405375 0.123698525  fv      Gamma        Cox, Gamma    FALSE #> 3089   194 0.5955132 0.115145832  fv      Gamma        Cox, Gamma    FALSE #> 3105   195 0.8745908 0.162591705  fv      Gamma        Cox, Gamma    FALSE #> 3121   196 0.8178457 0.154589268  fv      Gamma        Cox, Gamma    FALSE #> 3137   197 0.7511736 0.141661815  fv      Gamma        Cox, Gamma    FALSE #> 3153   198 0.7769079 0.146017528  fv      Gamma        Cox, Gamma    FALSE #> 3169   199 0.5582030 0.109200412  fv      Gamma        Cox, Gamma    FALSE #> 3185   200 0.8259496 0.154374691  fv      Gamma        Cox, Gamma    FALSE #> 3201   201 0.7413535 0.141501117  fv      Gamma        Cox, Gamma    FALSE #> 3217   202 0.7883145 0.147891265  fv      Gamma        Cox, Gamma    FALSE #> 3233   203 0.7376850 0.139098696  fv      Gamma        Cox, Gamma    FALSE #> 3249   204 0.7431473 0.145125912  fv      Gamma        Cox, Gamma    FALSE #> 3265   205 0.5968534 0.116380154  fv      Gamma        Cox, Gamma    FALSE #> 3281   206 0.7364319 0.139955581  fv      Gamma        Cox, Gamma    FALSE #> 3297   207 0.5674448 0.110932711  fv      Gamma        Cox, Gamma    FALSE #> 3313   208 0.7440635 0.141631276  fv      Gamma        Cox, Gamma    FALSE #> 3329   209 0.6788077 0.130198366  fv      Gamma        Cox, Gamma    FALSE #> 3345   210 0.6888451 0.132771993  fv      Gamma        Cox, Gamma    FALSE #> 3361   211 0.9803778 0.184836601  fv      Gamma        Cox, Gamma    FALSE #> 3377   212 0.7256449 0.141318320  fv      Gamma        Cox, Gamma    FALSE #> 3393   213 0.8183619 0.154776877  fv      Gamma        Cox, Gamma    FALSE #> 3409   214 0.6497936 0.125621597  fv      Gamma        Cox, Gamma    FALSE #> 3425   215 0.8793079 0.164432320  fv      Gamma        Cox, Gamma    FALSE #> 3441   216 0.9162205 0.170569691  fv      Gamma        Cox, Gamma    FALSE #> 3457   217 0.6777625 0.131187108  fv      Gamma        Cox, Gamma    FALSE #> 3473   218 0.6131194 0.119393013  fv      Gamma        Cox, Gamma    FALSE #> 3489   219 0.8569040 0.162515848  fv      Gamma        Cox, Gamma    FALSE #> 3505   220 0.5628894 0.109933688  fv      Gamma        Cox, Gamma    FALSE #> 3521   221 0.7097276 0.136447984  fv      Gamma        Cox, Gamma    FALSE #> 3537   222 0.7727905 0.147170732  fv      Gamma        Cox, Gamma    FALSE #> 3553   223 0.7964844 0.154284092  fv      Gamma        Cox, Gamma    FALSE #> 3569   224 0.7614475 0.144615174  fv      Gamma        Cox, Gamma    FALSE #> 3585   225 0.6722549 0.129075014  fv      Gamma        Cox, Gamma    FALSE #> 3601   226 0.8333519 0.160111938  fv      Gamma        Cox, Gamma    FALSE #> 3617   227 0.6560251 0.126793123  fv      Gamma        Cox, Gamma    FALSE #> 3633   228 0.8900574 0.165684363  fv      Gamma        Cox, Gamma    FALSE #> 3649   229 0.7783440 0.147316655  fv      Gamma        Cox, Gamma    FALSE #> 3665   230 0.7010892 0.133597427  fv      Gamma        Cox, Gamma    FALSE #> 3681   231 0.7965352 0.151151697  fv      Gamma        Cox, Gamma    FALSE #> 3697   232 0.7331452 0.142033787  fv      Gamma        Cox, Gamma    FALSE #> 3713   233 0.8746416 0.164268652  fv      Gamma        Cox, Gamma    FALSE #> 3729   234 0.6285312 0.121126267  fv      Gamma        Cox, Gamma    FALSE #> 3745   235 0.7432271 0.143094417  fv      Gamma        Cox, Gamma    FALSE #> 3761   236 0.4979838 0.099104026  fv      Gamma        Cox, Gamma    FALSE #> 3777   237 0.6728080 0.130707771  fv      Gamma        Cox, Gamma    FALSE #> 3793   238 0.5840668 0.114928913  fv      Gamma        Cox, Gamma    FALSE #> 3809   239 0.7097176 0.134414945  fv      Gamma        Cox, Gamma    FALSE #> 3825   240 0.8599517 0.164169343  fv      Gamma        Cox, Gamma    FALSE #> 3841   241 0.6564593 0.126134874  fv      Gamma        Cox, Gamma    FALSE #> 3857   242 0.5141763 0.101693306  fv      Gamma        Cox, Gamma    FALSE #> 3873   243 0.8631191 0.166522993  fv      Gamma        Cox, Gamma    FALSE #> 3889   244 0.5648038 0.110152544  fv      Gamma        Cox, Gamma    FALSE #> 3905   245 0.9067207 0.169979694  fv      Gamma        Cox, Gamma    FALSE #> 3921   246 0.6699933 0.127877304  fv      Gamma        Cox, Gamma    FALSE #> 3937   247 0.7658413 0.145211179  fv      Gamma        Cox, Gamma    FALSE #> 3953   248 0.9431198 0.174221858  fv      Gamma        Cox, Gamma    FALSE #> 3969   249 0.9559739 0.179913652  fv      Gamma        Cox, Gamma    FALSE #> 3985   250 0.7309363 0.139895733  fv      Gamma        Cox, Gamma    FALSE #> 4001   251 0.7953055 0.152686790  fv      Gamma        Cox, Gamma    FALSE #> 4017   252 0.8009815 0.153887446  fv      Gamma        Cox, Gamma    FALSE #> 4033   253 0.9063613 0.176153220  fv      Gamma        Cox, Gamma    FALSE #> 4049   254 0.5192107 0.101929593  fv      Gamma        Cox, Gamma    FALSE #> 4065   255 0.7741374 0.145083036  fv      Gamma        Cox, Gamma    FALSE #> 4081   256 0.7237488 0.138470282  fv      Gamma        Cox, Gamma    FALSE #> 4097   257 0.5354834 0.104354126  fv      Gamma        Cox, Gamma    FALSE #> 4113   258 0.7012728 0.138891396  fv      Gamma        Cox, Gamma    FALSE #> 4129   259 0.7423993 0.141143911  fv      Gamma        Cox, Gamma    FALSE #> 4145   260 0.8676835 0.162799994  fv      Gamma        Cox, Gamma    FALSE #> 4161   261 0.4985565 0.098347563  fv      Gamma        Cox, Gamma    FALSE #> 4177   262 0.7309571 0.140660952  fv      Gamma        Cox, Gamma    FALSE #> 4193   263 0.6045868 0.117674653  fv      Gamma        Cox, Gamma    FALSE #> 4209   264 0.5101925 0.100166533  fv      Gamma        Cox, Gamma    FALSE #> 4225   265 0.5926958 0.114423413  fv      Gamma        Cox, Gamma    FALSE #> 4241   266 0.6141473 0.118472417  fv      Gamma        Cox, Gamma    FALSE #> 4257   267 0.7089350 0.135707003  fv      Gamma        Cox, Gamma    FALSE #> 4273   268 0.7461537 0.141208361  fv      Gamma        Cox, Gamma    FALSE #> 4289   269 1.0603612 0.198754812  fv      Gamma        Cox, Gamma     TRUE #> 4305   270 0.9058827 0.173864681  fv      Gamma        Cox, Gamma    FALSE #> 4321   271 0.8913131 0.167006421  fv      Gamma        Cox, Gamma    FALSE #> 4337   272 0.5385219 0.106340887  fv      Gamma        Cox, Gamma    FALSE #> 4353   273 0.6611358 0.127691135  fv      Gamma        Cox, Gamma    FALSE #> 4369   274 0.7211689 0.136721186  fv      Gamma        Cox, Gamma    FALSE #> 4385   275 0.8557535 0.159471673  fv      Gamma        Cox, Gamma    FALSE #> 4401   276 0.8100907 0.155893661  fv      Gamma        Cox, Gamma    FALSE #> 4417   277 0.6766183 0.128987177  fv      Gamma        Cox, Gamma    FALSE #> 4433   278 0.7339860 0.138921953  fv      Gamma        Cox, Gamma    FALSE #> 4449   279 0.7292968 0.138338078  fv      Gamma        Cox, Gamma    FALSE #> 4465   280 0.7607655 0.143846232  fv      Gamma        Cox, Gamma    FALSE #> 4481   281 1.0222759 0.191682241  fv      Gamma        Cox, Gamma     TRUE #> 4497   282 0.6012837 0.116686105  fv      Gamma        Cox, Gamma    FALSE #> 4513   283 0.8065287 0.008370025  fv      Gamma        Cox, Gamma     TRUE #> 4529   284 0.6538202 0.125329340  fv      Gamma        Cox, Gamma    FALSE #> 4545   285 0.5004678 0.098826427  fv      Gamma        Cox, Gamma    FALSE #> 4561   286 0.7617749 0.144340603  fv      Gamma        Cox, Gamma    FALSE #> 4577   287 0.6411900 0.124111128  fv      Gamma        Cox, Gamma    FALSE #> 4593   288 1.2156838 0.222204393  fv      Gamma        Cox, Gamma     TRUE #> 4609   289 0.6293359 0.121873921  fv      Gamma        Cox, Gamma    FALSE #> 4625   290 0.5973796 0.115942379  fv      Gamma        Cox, Gamma    FALSE #> 4641   291 0.6142454          NA  fv      Gamma        Cox, Gamma       NA #> 4657   292 0.6275111 0.121149223  fv      Gamma        Cox, Gamma    FALSE #> 4673   293 0.8857171 0.166063448  fv      Gamma        Cox, Gamma    FALSE #> 4689   294 0.6322969 0.122255267  fv      Gamma        Cox, Gamma    FALSE #> 4705   295 1.0640640 0.195201183  fv      Gamma        Cox, Gamma     TRUE #> 4721   296 0.7341485 0.140160744  fv      Gamma        Cox, Gamma    FALSE #> 4737   297 1.1991235 0.216487970  fv      Gamma        Cox, Gamma     TRUE #> 4753   298 0.5712964 0.111273754  fv      Gamma        Cox, Gamma    FALSE #> 4769   299 0.5672383 0.111172863  fv      Gamma        Cox, Gamma    FALSE #> 4785   300 0.8495776 0.158426390  fv      Gamma        Cox, Gamma    FALSE #> 4801   301 0.5310383 0.104267983  fv      Gamma        Cox, Gamma    FALSE #> 4817   302 0.7523369 0.141562397  fv      Gamma        Cox, Gamma    FALSE #> 4833   303 0.6689623 0.129247470  fv      Gamma        Cox, Gamma    FALSE #> 4849   304 0.7352516 0.140697289  fv      Gamma        Cox, Gamma    FALSE #> 4865   305 0.8685145 0.162232921  fv      Gamma        Cox, Gamma    FALSE #> 4881   306 0.7403740 0.140931785  fv      Gamma        Cox, Gamma    FALSE #> 4897   307 0.7625273 0.146362956  fv      Gamma        Cox, Gamma    FALSE #> 4913   308 0.6529047 0.125331572  fv      Gamma        Cox, Gamma    FALSE #> 4929   309 0.7335789 0.138755400  fv      Gamma        Cox, Gamma    FALSE #> 4945   310 1.0352441 0.191706968  fv      Gamma        Cox, Gamma     TRUE #> 4961   311 0.8210888 0.154167236  fv      Gamma        Cox, Gamma    FALSE #> 4977   312 1.1316319 0.214506331  fv      Gamma        Cox, Gamma     TRUE #> 4993   313 0.7858570 0.148363040  fv      Gamma        Cox, Gamma    FALSE #> 5009   314 0.6270082 0.121419429  fv      Gamma        Cox, Gamma    FALSE #> 5025   315 0.7580926 0.143019862  fv      Gamma        Cox, Gamma    FALSE #> 5041   316 1.0442184 0.191879128  fv      Gamma        Cox, Gamma     TRUE #> 5057   317 0.6437053 0.124174313  fv      Gamma        Cox, Gamma    FALSE #> 5073   318 0.8451586 0.162886989  fv      Gamma        Cox, Gamma    FALSE #> 5089   319 0.6154748 0.119202669  fv      Gamma        Cox, Gamma    FALSE #> 5105   320 0.6052390 0.117161496  fv      Gamma        Cox, Gamma    FALSE #> 5121   321 0.8562321 0.161151124  fv      Gamma        Cox, Gamma    FALSE #> 5137   322 0.5475235 0.107601448  fv      Gamma        Cox, Gamma    FALSE #> 5153   323 0.8516726 0.159610025  fv      Gamma        Cox, Gamma    FALSE #> 5169   324 0.6284455 0.122771029  fv      Gamma        Cox, Gamma    FALSE #> 5185   325 0.7340504 0.139368912  fv      Gamma        Cox, Gamma    FALSE #> 5201   326 0.7039394 0.134465568  fv      Gamma        Cox, Gamma    FALSE #> 5217   327 0.7570131 0.143284492  fv      Gamma        Cox, Gamma    FALSE #> 5233   328 1.0241436 0.191230022  fv      Gamma        Cox, Gamma     TRUE #> 5249   329 0.8762071 0.165668652  fv      Gamma        Cox, Gamma    FALSE #> 5265   330 0.6943285 0.133117878  fv      Gamma        Cox, Gamma    FALSE #> 5281   331 0.8439616 0.157763791  fv      Gamma        Cox, Gamma    FALSE #> 5297   332 0.5597510 0.110415552  fv      Gamma        Cox, Gamma    FALSE #> 5313   333 0.5408626 0.105579808  fv      Gamma        Cox, Gamma    FALSE #> 5329   334 0.9467958 0.173919137  fv      Gamma        Cox, Gamma    FALSE #> 5345   335 0.7653749 0.145590511  fv      Gamma        Cox, Gamma    FALSE #> 5361   336 0.4797265 0.096031622  fv      Gamma        Cox, Gamma    FALSE #> 5377   337 0.6413684 0.124650010  fv      Gamma        Cox, Gamma    FALSE #> 5393   338 0.6035586          NA  fv      Gamma        Cox, Gamma       NA #> 5409   339 0.8262291 0.156546194  fv      Gamma        Cox, Gamma    FALSE #> 5425   340 0.7801398 0.152957082  fv      Gamma        Cox, Gamma    FALSE #> 5441   341 0.5609456 0.109188392  fv      Gamma        Cox, Gamma    FALSE #> 5457   342 0.4505560 0.089857208  fv      Gamma        Cox, Gamma     TRUE #> 5473   343 0.6379761 0.123470515  fv      Gamma        Cox, Gamma    FALSE #> 5489   344 0.9821211 0.184488378  fv      Gamma        Cox, Gamma    FALSE #> 5505   345 0.8685154 0.163017679  fv      Gamma        Cox, Gamma    FALSE #> 5521   346 0.7913166 0.148203721  fv      Gamma        Cox, Gamma    FALSE #> 5537   347 0.7336193 0.139101579  fv      Gamma        Cox, Gamma    FALSE #> 5553   348 0.9254888 0.171694360  fv      Gamma        Cox, Gamma    FALSE #> 5569   349 0.8488816 0.159294203  fv      Gamma        Cox, Gamma    FALSE #> 5585   350 0.8160615 0.152965564  fv      Gamma        Cox, Gamma    FALSE #> 5601   351 0.8759466 0.167886380  fv      Gamma        Cox, Gamma    FALSE #> 5617   352 0.7981894 0.153964217  fv      Gamma        Cox, Gamma    FALSE #> 5633   353 0.5791672 0.113057885  fv      Gamma        Cox, Gamma    FALSE #> 5649   354 0.7416095 0.141018326  fv      Gamma        Cox, Gamma    FALSE #> 5665   355 0.8010796 0.149943272  fv      Gamma        Cox, Gamma    FALSE #> 5681   356 0.8282803 0.158193917  fv      Gamma        Cox, Gamma    FALSE #> 5697   357 0.6938562 0.132663709  fv      Gamma        Cox, Gamma    FALSE #> 5713   358 0.6402635 0.122101470  fv      Gamma        Cox, Gamma    FALSE #> 5729   359 0.6742980 0.132978427  fv      Gamma        Cox, Gamma    FALSE #> 5745   360 0.6040056 0.117051665  fv      Gamma        Cox, Gamma    FALSE #> 5761   361 0.9421937 0.178772166  fv      Gamma        Cox, Gamma    FALSE #> 5777   362 0.4601477 0.091085384  fv      Gamma        Cox, Gamma    FALSE #> 5793   363 0.7026636 0.135100787  fv      Gamma        Cox, Gamma    FALSE #> 5809   364 0.5302217 0.104442908  fv      Gamma        Cox, Gamma    FALSE #> 5825   365 0.7690703 0.150669849  fv      Gamma        Cox, Gamma    FALSE #> 5841   366 0.8267876 0.157050939  fv      Gamma        Cox, Gamma    FALSE #> 5857   367 0.8874453 0.165351401  fv      Gamma        Cox, Gamma    FALSE #> 5873   368 0.8804541 0.171672792  fv      Gamma        Cox, Gamma    FALSE #> 5889   369 0.5558909 0.108356937  fv      Gamma        Cox, Gamma    FALSE #> 5905   370 0.5224601 0.102908943  fv      Gamma        Cox, Gamma    FALSE #> 5921   371 0.8876388 0.168386174  fv      Gamma        Cox, Gamma    FALSE #> 5937   372 0.6286268 0.125304837  fv      Gamma        Cox, Gamma    FALSE #> 5953   373 0.6690070 0.127890066  fv      Gamma        Cox, Gamma    FALSE #> 5969   374 0.6330213 0.122146795  fv      Gamma        Cox, Gamma    FALSE #> 5985   375 0.6227287 0.120453980  fv      Gamma        Cox, Gamma    FALSE #> 6001   376 0.6703751 0.129140001  fv      Gamma        Cox, Gamma    FALSE #> 6017   377 0.8079140 0.155596402  fv      Gamma        Cox, Gamma    FALSE #> 6033   378 0.7798553 0.146544187  fv      Gamma        Cox, Gamma    FALSE #> 6049   379 0.6475737 0.124463927  fv      Gamma        Cox, Gamma    FALSE #> 6065   380 0.7688097 0.145489816  fv      Gamma        Cox, Gamma    FALSE #> 6081   381 0.6649357 0.128253722  fv      Gamma        Cox, Gamma    FALSE #> 6097   382 0.6807352 0.130459416  fv      Gamma        Cox, Gamma    FALSE #> 6113   383 1.0192008 0.186327756  fv      Gamma        Cox, Gamma     TRUE #> 6129   384 0.8434297 0.158539964  fv      Gamma        Cox, Gamma    FALSE #> 6145   385 0.5428752 0.106117665  fv      Gamma        Cox, Gamma    FALSE #> 6161   386 0.3967401 0.081332469  fv      Gamma        Cox, Gamma     TRUE #> 6177   387 0.5406499 0.105272643  fv      Gamma        Cox, Gamma    FALSE #> 6193   388 0.6602657 0.126552615  fv      Gamma        Cox, Gamma    FALSE #> 6209   389 0.5332555 0.104791180  fv      Gamma        Cox, Gamma    FALSE #> 6225   390 0.6045228 0.117241227  fv      Gamma        Cox, Gamma    FALSE #> 6241   391 0.4999031          NA  fv      Gamma        Cox, Gamma       NA #> 6257   392 0.9248187 0.171305899  fv      Gamma        Cox, Gamma    FALSE #> 6273   393 0.5798027 0.113219618  fv      Gamma        Cox, Gamma    FALSE #> 6289   394 0.8907170 0.167374282  fv      Gamma        Cox, Gamma    FALSE #> 6305   395 0.7016240 0.135025361  fv      Gamma        Cox, Gamma    FALSE #> 6321   396 0.7121455 0.139294610  fv      Gamma        Cox, Gamma    FALSE #> 6337   397 0.8229104 0.153784172  fv      Gamma        Cox, Gamma    FALSE #> 6353   398 0.7712521 0.146309386  fv      Gamma        Cox, Gamma    FALSE #> 6369   399 0.6190504 0.119937746  fv      Gamma        Cox, Gamma    FALSE #> 6385   400 0.6672967 0.128315064  fv      Gamma        Cox, Gamma    FALSE #> 6401   401 0.8584411 0.163304952  fv      Gamma        Cox, Gamma    FALSE #> 6417   402 0.7225680 0.141193789  fv      Gamma        Cox, Gamma    FALSE #> 6433   403 0.6821864 0.130069717  fv      Gamma        Cox, Gamma    FALSE #> 6449   404 0.8921011 0.169978122  fv      Gamma        Cox, Gamma    FALSE #> 6465   405 0.6364897 0.121986924  fv      Gamma        Cox, Gamma    FALSE #> 6481   406 0.6312721 0.122132709  fv      Gamma        Cox, Gamma    FALSE #> 6497   407 0.7537675 0.143468500  fv      Gamma        Cox, Gamma    FALSE #> 6513   408 0.4830750 0.100264446  fv      Gamma        Cox, Gamma    FALSE #> 6529   409 0.9120263 0.168875217  fv      Gamma        Cox, Gamma    FALSE #> 6545   410 0.9317740 0.176472419  fv      Gamma        Cox, Gamma    FALSE #> 6561   411 0.7853073 0.155061040  fv      Gamma        Cox, Gamma    FALSE #> 6577   412 0.6760708 0.129238258  fv      Gamma        Cox, Gamma    FALSE #> 6593   413 0.7106746          NA  fv      Gamma        Cox, Gamma       NA #> 6609   414 0.7126918 0.136010675  fv      Gamma        Cox, Gamma    FALSE #> 6625   415 0.8278815 0.154436751  fv      Gamma        Cox, Gamma    FALSE #> 6641   416 0.6144755 0.118999790  fv      Gamma        Cox, Gamma    FALSE #> 6657   417 0.7064656 0.134614387  fv      Gamma        Cox, Gamma    FALSE #> 6673   418 0.7280710 0.138588048  fv      Gamma        Cox, Gamma    FALSE #> 6689   419 0.5977421 0.117049099  fv      Gamma        Cox, Gamma    FALSE #> 6705   420 0.7984141 0.153630576  fv      Gamma        Cox, Gamma    FALSE #> 6721   421 0.7789264 0.146973632  fv      Gamma        Cox, Gamma    FALSE #> 6737   422 0.7189249 0.136830403  fv      Gamma        Cox, Gamma    FALSE #> 6753   423 0.7767172 0.146505554  fv      Gamma        Cox, Gamma    FALSE #> 6769   424 0.6711159 0.129971477  fv      Gamma        Cox, Gamma    FALSE #> 6785   425 0.5421033 0.106506310  fv      Gamma        Cox, Gamma    FALSE #> 6801   426 0.9738877 0.180388841  fv      Gamma        Cox, Gamma    FALSE #> 6817   427 0.4334204 0.087612339  fv      Gamma        Cox, Gamma     TRUE #> 6833   428 0.9192375 0.174367363  fv      Gamma        Cox, Gamma    FALSE #> 6849   429 0.6307533 0.121860719  fv      Gamma        Cox, Gamma    FALSE #> 6865   430 0.5862901 0.113931845  fv      Gamma        Cox, Gamma    FALSE #> 6881   431 0.8326353 0.156104642  fv      Gamma        Cox, Gamma    FALSE #> 6897   432 0.5651382 0.111271681  fv      Gamma        Cox, Gamma    FALSE #> 6913   433 0.7605602 0.146061740  fv      Gamma        Cox, Gamma    FALSE #> 6929   434 0.9151370 0.168917938  fv      Gamma        Cox, Gamma    FALSE #> 6945   435 0.6420012 0.123004617  fv      Gamma        Cox, Gamma    FALSE #> 6961   436 0.8857909 0.167510125  fv      Gamma        Cox, Gamma    FALSE #> 6977   437 0.6462434 0.124127766  fv      Gamma        Cox, Gamma    FALSE #> 6993   438 0.4972460 0.098754303  fv      Gamma        Cox, Gamma    FALSE #> 7009   439 0.6779588 0.130863527  fv      Gamma        Cox, Gamma    FALSE #> 7025   440 0.6825645 0.130306052  fv      Gamma        Cox, Gamma    FALSE #> 7041   441 0.4502677 0.089999523  fv      Gamma        Cox, Gamma     TRUE #> 7057   442 0.8187358 0.153159795  fv      Gamma        Cox, Gamma    FALSE #> 7073   443 0.4864113 0.097415951  fv      Gamma        Cox, Gamma    FALSE #> 7089   444 0.6307093          NA  fv      Gamma        Cox, Gamma       NA #> 7105   445 0.8960691 0.172700705  fv      Gamma        Cox, Gamma    FALSE #> 7121   446 0.7375956 0.139800669  fv      Gamma        Cox, Gamma    FALSE #> 7137   447 0.7060355 0.134536437  fv      Gamma        Cox, Gamma    FALSE #> 7153   448 0.7606137 0.144593023  fv      Gamma        Cox, Gamma    FALSE #> 7169   449 0.8188267 0.152908387  fv      Gamma        Cox, Gamma    FALSE #> 7185   450 0.6649946 0.127035238  fv      Gamma        Cox, Gamma    FALSE #> 7201   451 0.7889763 0.148648185  fv      Gamma        Cox, Gamma    FALSE #> 7217   452 0.5385995 0.106107012  fv      Gamma        Cox, Gamma    FALSE #> 7233   453 0.7976309 0.149294907  fv      Gamma        Cox, Gamma    FALSE #> 7249   454 0.6812803 0.133807496  fv      Gamma        Cox, Gamma    FALSE #> 7265   455 0.7853285 0.148442373  fv      Gamma        Cox, Gamma    FALSE #> 7281   456 0.8013663 0.150752027  fv      Gamma        Cox, Gamma    FALSE #> 7297   457 0.7567226 0.143306581  fv      Gamma        Cox, Gamma    FALSE #> 7313   458 0.8390265 0.158325038  fv      Gamma        Cox, Gamma    FALSE #> 7329   459 0.6846816 0.131871936  fv      Gamma        Cox, Gamma    FALSE #> 7345   460 0.5993262          NA  fv      Gamma        Cox, Gamma       NA #> 7361   461 0.7089733 0.135818026  fv      Gamma        Cox, Gamma    FALSE #> 7377   462 0.9322032 0.176108434  fv      Gamma        Cox, Gamma    FALSE #> 7393   463 0.5899818 0.113578435  fv      Gamma        Cox, Gamma    FALSE #> 7409   464 0.5457337 0.107935854  fv      Gamma        Cox, Gamma    FALSE #> 7425   465 0.6924278 0.131950434  fv      Gamma        Cox, Gamma    FALSE #> 7441   466 0.8586186 0.164067739  fv      Gamma        Cox, Gamma    FALSE #> 7457   467 0.8607295 0.162516222  fv      Gamma        Cox, Gamma    FALSE #> 7473   468 0.5840632 0.113431719  fv      Gamma        Cox, Gamma    FALSE #> 7489   469 0.7721755 0.148974573  fv      Gamma        Cox, Gamma    FALSE #> 7505   470 0.7864966 0.147551158  fv      Gamma        Cox, Gamma    FALSE #> 7521   471 0.6014325 0.116605603  fv      Gamma        Cox, Gamma    FALSE #> 7537   472 0.7782183 0.146490838  fv      Gamma        Cox, Gamma    FALSE #> 7553   473 0.6782043 0.129840010  fv      Gamma        Cox, Gamma    FALSE #> 7569   474 0.6246471 0.122746003  fv      Gamma        Cox, Gamma    FALSE #> 7585   475 1.1066875 0.208302683  fv      Gamma        Cox, Gamma     TRUE #> 7601   476 0.5556522 0.108984002  fv      Gamma        Cox, Gamma    FALSE #> 7617   477 0.8566296 0.159877492  fv      Gamma        Cox, Gamma    FALSE #> 7633   478 0.6815679 0.131090134  fv      Gamma        Cox, Gamma    FALSE #> 7649   479 0.8652759 0.161735280  fv      Gamma        Cox, Gamma    FALSE #> 7665   480 0.7542582 0.144197098  fv      Gamma        Cox, Gamma    FALSE #> 7681   481 0.6792317 0.131026222  fv      Gamma        Cox, Gamma    FALSE #> 7697   482 0.6255814 0.124083667  fv      Gamma        Cox, Gamma    FALSE #> 7713   483 0.6524135 0.127114059  fv      Gamma        Cox, Gamma    FALSE #> 7729   484 0.7084909 0.134146311  fv      Gamma        Cox, Gamma    FALSE #> 7745   485 0.7116749 0.135010465  fv      Gamma        Cox, Gamma    FALSE #> 7761   486 0.5675852 0.111128327  fv      Gamma        Cox, Gamma    FALSE #> 7777   487 0.8227084 0.154214426  fv      Gamma        Cox, Gamma    FALSE #> 7793   488 0.6805839 0.132475141  fv      Gamma        Cox, Gamma    FALSE #> 7809   489 0.8828861 0.168922643  fv      Gamma        Cox, Gamma    FALSE #> 7825   490 1.0616372 0.193890898  fv      Gamma        Cox, Gamma     TRUE #> 7841   491 0.6822397 0.130612568  fv      Gamma        Cox, Gamma    FALSE #> 7857   492 0.8222004 0.155512481  fv      Gamma        Cox, Gamma    FALSE #> 7873   493 0.7750104 0.151083906  fv      Gamma        Cox, Gamma    FALSE #> 7889   494 0.7222312 0.137802429  fv      Gamma        Cox, Gamma    FALSE #> 7905   495 0.7690374 0.146304536  fv      Gamma        Cox, Gamma    FALSE #> 7921   496 0.5161178 0.102242565  fv      Gamma        Cox, Gamma    FALSE #> 7937   497 0.6616442 0.126467428  fv      Gamma        Cox, Gamma    FALSE #> 7953   498 0.6310750 0.122098317  fv      Gamma        Cox, Gamma    FALSE #> 7969   499 0.9368503 0.175074305  fv      Gamma        Cox, Gamma    FALSE #> 7985   500 0.8980660 0.169636790  fv      Gamma        Cox, Gamma    FALSE #> 8001   501 0.6945294 0.132580566  fv      Gamma        Cox, Gamma    FALSE #> 8017   502 0.7586970 0.143861263  fv      Gamma        Cox, Gamma    FALSE #> 8033   503 0.6796761 0.130505602  fv      Gamma        Cox, Gamma    FALSE #> 8049   504 0.8750771 0.162492220  fv      Gamma        Cox, Gamma    FALSE #> 8065   505 0.9242294 0.173034278  fv      Gamma        Cox, Gamma    FALSE #> 8081   506 0.6642908 0.127078492  fv      Gamma        Cox, Gamma    FALSE #> 8097   507 0.6220734 0.120661088  fv      Gamma        Cox, Gamma    FALSE #> 8113   508 0.6638922 0.127459533  fv      Gamma        Cox, Gamma    FALSE #> 8129   509 0.7011241 0.133602323  fv      Gamma        Cox, Gamma    FALSE #> 8145   510 0.9146957 0.169745733  fv      Gamma        Cox, Gamma    FALSE #> 8161   511 0.7417783 0.141579855  fv      Gamma        Cox, Gamma    FALSE #> 8177   512 0.8087679 0.152328374  fv      Gamma        Cox, Gamma    FALSE #> 8193   513 0.5954906 0.116001360  fv      Gamma        Cox, Gamma    FALSE #> 8209   514 0.6569979 0.126927260  fv      Gamma        Cox, Gamma    FALSE #> 8225   515 0.6212970 0.120107176  fv      Gamma        Cox, Gamma    FALSE #> 8241   516 0.7542450 0.144369845  fv      Gamma        Cox, Gamma    FALSE #> 8257   517 0.7857159 0.148313320  fv      Gamma        Cox, Gamma    FALSE #> 8273   518 0.8537068 0.158622013  fv      Gamma        Cox, Gamma    FALSE #> 8289   519 0.7034337 0.134310592  fv      Gamma        Cox, Gamma    FALSE #> 8305   520 0.6197376 0.119943182  fv      Gamma        Cox, Gamma    FALSE #> 8321   521 0.5610014 0.109140591  fv      Gamma        Cox, Gamma    FALSE #> 8337   522 0.5438508 0.106296184  fv      Gamma        Cox, Gamma    FALSE #> 8353   523 0.6698531 0.129490382  fv      Gamma        Cox, Gamma    FALSE #> 8369   524 0.6020242 0.117226384  fv      Gamma        Cox, Gamma    FALSE #> 8385   525 1.0516324 0.192496879  fv      Gamma        Cox, Gamma     TRUE #> 8401   526 0.7609652 0.144096404  fv      Gamma        Cox, Gamma    FALSE #> 8417   527 0.6881981 0.133087351  fv      Gamma        Cox, Gamma    FALSE #> 8433   528 0.6054273 0.117775780  fv      Gamma        Cox, Gamma    FALSE #> 8449   529 0.8516933 0.159701160  fv      Gamma        Cox, Gamma    FALSE #> 8465   530 0.8926019 0.166575907  fv      Gamma        Cox, Gamma    FALSE #> 8481   531 0.7916298 0.148159862  fv      Gamma        Cox, Gamma    FALSE #> 8497   532 0.7897519 0.149192705  fv      Gamma        Cox, Gamma    FALSE #> 8513   533 0.7284274 0.138699326  fv      Gamma        Cox, Gamma    FALSE #> 8529   534 0.7790291 0.146354155  fv      Gamma        Cox, Gamma    FALSE #> 8545   535 0.9538809 0.176303899  fv      Gamma        Cox, Gamma    FALSE #> 8561   536 0.8270741 0.154370683  fv      Gamma        Cox, Gamma    FALSE #> 8577   537 0.7138513 0.139534596  fv      Gamma        Cox, Gamma    FALSE #> 8593   538 0.6246478          NA  fv      Gamma        Cox, Gamma       NA #> 8609   539 0.8627532 0.161183355  fv      Gamma        Cox, Gamma    FALSE #> 8625   540 0.7660902 0.149389899  fv      Gamma        Cox, Gamma    FALSE #> 8641   541 0.6295377 0.122597777  fv      Gamma        Cox, Gamma    FALSE #> 8657   542 0.8369873 0.157179557  fv      Gamma        Cox, Gamma    FALSE #> 8673   543 0.9027111 0.167848994  fv      Gamma        Cox, Gamma    FALSE #> 8689   544 0.8231412 0.154281762  fv      Gamma        Cox, Gamma    FALSE #> 8705   545 0.6971651 0.133999902  fv      Gamma        Cox, Gamma    FALSE #> 8721   546 0.6917187 0.132692058  fv      Gamma        Cox, Gamma    FALSE #> 8737   547 0.6612332 0.126891190  fv      Gamma        Cox, Gamma    FALSE #> 8753   548 0.6319194 0.006583581  fv      Gamma        Cox, Gamma     TRUE #> 8769   549 0.8020343 0.153784386  fv      Gamma        Cox, Gamma    FALSE #> 8785   550 0.8857710 0.173416696  fv      Gamma        Cox, Gamma    FALSE #> 8801   551 0.7206925 0.137282217  fv      Gamma        Cox, Gamma    FALSE #> 8817   552 0.5655243 0.111609299  fv      Gamma        Cox, Gamma    FALSE #> 8833   553 0.5894449 0.115099271  fv      Gamma        Cox, Gamma    FALSE #> 8849   554 0.6799194 0.131022822  fv      Gamma        Cox, Gamma    FALSE #> 8865   555 0.5942723 0.116121667  fv      Gamma        Cox, Gamma    FALSE #> 8881   556 0.5409466 0.106333958  fv      Gamma        Cox, Gamma    FALSE #> 8897   557 1.1276785 0.208600321  fv      Gamma        Cox, Gamma     TRUE #> 8913   558 0.8056241 0.152243016  fv      Gamma        Cox, Gamma    FALSE #> 8929   559 0.6165829 0.122550777  fv      Gamma        Cox, Gamma    FALSE #> 8945   560 0.7506013 0.143366986  fv      Gamma        Cox, Gamma    FALSE #> 8961   561 0.7560469 0.142619604  fv      Gamma        Cox, Gamma    FALSE #> 8977   562 0.4475603 0.089294336  fv      Gamma        Cox, Gamma     TRUE #> 8993   563 0.7697251 0.146259739  fv      Gamma        Cox, Gamma    FALSE #> 9009   564 0.7596255 0.143001550  fv      Gamma        Cox, Gamma    FALSE #> 9025   565 0.8209886 0.158901699  fv      Gamma        Cox, Gamma    FALSE #> 9041   566 0.8540708 0.160172577  fv      Gamma        Cox, Gamma    FALSE #> 9057   567 0.7239583 0.138160326  fv      Gamma        Cox, Gamma    FALSE #> 9073   568 0.7918967 0.152246336  fv      Gamma        Cox, Gamma    FALSE #> 9089   569 0.6846417 0.132938759  fv      Gamma        Cox, Gamma    FALSE #> 9105   570 0.7180058 0.136793903  fv      Gamma        Cox, Gamma    FALSE #> 9121   571 0.7534625 0.142541419  fv      Gamma        Cox, Gamma    FALSE #> 9137   572 0.8277711 0.154274630  fv      Gamma        Cox, Gamma    FALSE #> 9153   573 0.5338253 0.105713447  fv      Gamma        Cox, Gamma    FALSE #> 9169   574 0.8516856 0.162398703  fv      Gamma        Cox, Gamma    FALSE #> 9185   575 0.7042959 0.134581473  fv      Gamma        Cox, Gamma    FALSE #> 9201   576 0.7417747 0.142360056  fv      Gamma        Cox, Gamma    FALSE #> 9217   577 0.6314368 0.122446267  fv      Gamma        Cox, Gamma    FALSE #> 9233   578 0.6519440 0.125000623  fv      Gamma        Cox, Gamma    FALSE #> 9249   579 0.6465344          NA  fv      Gamma        Cox, Gamma       NA #> 9265   580 0.6101363 0.117780410  fv      Gamma        Cox, Gamma    FALSE #> 9281   581 0.8567743 0.159745166  fv      Gamma        Cox, Gamma    FALSE #> 9297   582 0.4249017 0.084684463  fv      Gamma        Cox, Gamma     TRUE #> 9313   583 0.7812605 0.147186401  fv      Gamma        Cox, Gamma    FALSE #> 9329   584 0.6289872          NA  fv      Gamma        Cox, Gamma       NA #> 9345   585 1.1129083 0.202616476  fv      Gamma        Cox, Gamma     TRUE #> 9361   586 1.0020180 0.183131340  fv      Gamma        Cox, Gamma    FALSE #> 9377   587 0.7823646 0.147627151  fv      Gamma        Cox, Gamma    FALSE #> 9393   588 0.7965984 0.151873142  fv      Gamma        Cox, Gamma    FALSE #> 9409   589 0.5848703 0.113875946  fv      Gamma        Cox, Gamma    FALSE #> 9425   590 0.6723444 0.129201859  fv      Gamma        Cox, Gamma    FALSE #> 9441   591 0.7146685 0.136960728  fv      Gamma        Cox, Gamma    FALSE #> 9457   592 0.8875873 0.165449957  fv      Gamma        Cox, Gamma    FALSE #> 9473   593 0.6956131 0.136694985  fv      Gamma        Cox, Gamma    FALSE #> 9489   594 0.7214667 0.138957335  fv      Gamma        Cox, Gamma    FALSE #> 9505   595 0.7101161 0.135025353  fv      Gamma        Cox, Gamma    FALSE #> 9521   596 0.8418777 0.157263827  fv      Gamma        Cox, Gamma    FALSE #> 9537   597 0.9729782 0.183742916  fv      Gamma        Cox, Gamma    FALSE #> 9553   598 0.7302043 0.138489839  fv      Gamma        Cox, Gamma    FALSE #> 9569   599 1.0924857 0.198613543  fv      Gamma        Cox, Gamma     TRUE #> 9585   600 0.9354165 0.172435311  fv      Gamma        Cox, Gamma    FALSE #> 9601   601 0.6883910 0.131587270  fv      Gamma        Cox, Gamma    FALSE #> 9617   602 0.8070003 0.154414727  fv      Gamma        Cox, Gamma    FALSE #> 9633   603 0.6856989 0.130901389  fv      Gamma        Cox, Gamma    FALSE #> 9649   604 0.8376770 0.164630472  fv      Gamma        Cox, Gamma    FALSE #> 9665   605 0.8981670 0.170534144  fv      Gamma        Cox, Gamma    FALSE #> 9681   606 0.7882221 0.148789284  fv      Gamma        Cox, Gamma    FALSE #> 9697   607 0.6476463 0.125475048  fv      Gamma        Cox, Gamma    FALSE #> 9713   608 0.8155224 0.153555972  fv      Gamma        Cox, Gamma    FALSE #> 9729   609 0.8892325 0.166132966  fv      Gamma        Cox, Gamma    FALSE #> 9745   610 0.7927409 0.149226966  fv      Gamma        Cox, Gamma    FALSE #> 9761   611 0.6492237 0.125252832  fv      Gamma        Cox, Gamma    FALSE #> 9777   612 0.8847558 0.164946654  fv      Gamma        Cox, Gamma    FALSE #> 9793   613 0.7555553 0.143065459  fv      Gamma        Cox, Gamma    FALSE #> 9809   614 0.6999420 0.133898539  fv      Gamma        Cox, Gamma    FALSE #> 9825   615 0.6323970 0.121998668  fv      Gamma        Cox, Gamma    FALSE #> 9841   616 0.9258004 0.171970867  fv      Gamma        Cox, Gamma    FALSE #> 9857   617 0.9810413 0.184675944  fv      Gamma        Cox, Gamma    FALSE #> 9873   618 0.5773346 0.112316606  fv      Gamma        Cox, Gamma    FALSE #> 9889   619 0.6347891 0.122523189  fv      Gamma        Cox, Gamma    FALSE #> 9905   620 0.6827832 0.131100442  fv      Gamma        Cox, Gamma    FALSE #> 9921   621 0.7975355 0.150353049  fv      Gamma        Cox, Gamma    FALSE #> 9937   622 1.1223277 0.204313520  fv      Gamma        Cox, Gamma     TRUE #> 9953   623 0.5579222 0.108700678  fv      Gamma        Cox, Gamma    FALSE #> 9969   624 0.7128043 0.135198610  fv      Gamma        Cox, Gamma    FALSE #> 9985   625 0.6645098 0.127866473  fv      Gamma        Cox, Gamma    FALSE #> 10001  626 0.5434477 0.107111683  fv      Gamma        Cox, Gamma    FALSE #> 10017  627 0.6384977 0.127531672  fv      Gamma        Cox, Gamma    FALSE #> 10033  628 0.7155575 0.135607273  fv      Gamma        Cox, Gamma    FALSE #> 10049  629 0.5743986 0.113030438  fv      Gamma        Cox, Gamma    FALSE #> 10065  630 0.9263040 0.171879492  fv      Gamma        Cox, Gamma    FALSE #> 10081  631 0.8454909 0.163553297  fv      Gamma        Cox, Gamma    FALSE #> 10097  632 0.5915189 0.115112532  fv      Gamma        Cox, Gamma    FALSE #> 10113  633 0.5378909 0.105342707  fv      Gamma        Cox, Gamma    FALSE #> 10129  634 0.5606903 0.109482541  fv      Gamma        Cox, Gamma    FALSE #> 10145  635 0.4726450 0.094667526  fv      Gamma        Cox, Gamma    FALSE #> 10161  636 0.6834728 0.132595448  fv      Gamma        Cox, Gamma    FALSE #> 10177  637 0.7517155 0.142228970  fv      Gamma        Cox, Gamma    FALSE #> 10193  638 0.6135361 0.122501483  fv      Gamma        Cox, Gamma    FALSE #> 10209  639 0.7014499 0.133681174  fv      Gamma        Cox, Gamma    FALSE #> 10225  640 0.6128640          NA  fv      Gamma        Cox, Gamma       NA #> 10241  641 0.6673911 0.127458375  fv      Gamma        Cox, Gamma    FALSE #> 10257  642 0.6815744 0.131201354  fv      Gamma        Cox, Gamma    FALSE #> 10273  643 0.6395380 0.123473684  fv      Gamma        Cox, Gamma    FALSE #> 10289  644 0.9281496 0.178044104  fv      Gamma        Cox, Gamma    FALSE #> 10305  645 0.5058058 0.099576567  fv      Gamma        Cox, Gamma    FALSE #> 10321  646 0.5752018 0.112537616  fv      Gamma        Cox, Gamma    FALSE #> 10337  647 1.0966623 0.201529503  fv      Gamma        Cox, Gamma     TRUE #> 10353  648 0.7244534 0.137071261  fv      Gamma        Cox, Gamma    FALSE #> 10369  649 0.8332207 0.156331374  fv      Gamma        Cox, Gamma    FALSE #> 10385  650 0.9649527 0.179069982  fv      Gamma        Cox, Gamma    FALSE #> 10401  651 0.9464873 0.175101726  fv      Gamma        Cox, Gamma    FALSE #> 10417  652 0.7609635 0.144258476  fv      Gamma        Cox, Gamma    FALSE #> 10433  653 0.9382049 0.177882581  fv      Gamma        Cox, Gamma    FALSE #> 10449  654 0.6062464 0.117645954  fv      Gamma        Cox, Gamma    FALSE #> 10465  655 0.6767305 0.129314528  fv      Gamma        Cox, Gamma    FALSE #> 10481  656 0.7862486 0.148608077  fv      Gamma        Cox, Gamma    FALSE #> 10497  657 0.7137173 0.136369085  fv      Gamma        Cox, Gamma    FALSE #> 10513  658 0.8178731 0.154550758  fv      Gamma        Cox, Gamma    FALSE #> 10529  659 0.8561291 0.161265853  fv      Gamma        Cox, Gamma    FALSE #> 10545  660 0.7951042 0.153064842  fv      Gamma        Cox, Gamma    FALSE #> 10561  661 0.5838602 0.113215726  fv      Gamma        Cox, Gamma    FALSE #> 10577  662 0.4485783 0.089198580  fv      Gamma        Cox, Gamma     TRUE #> 10593  663 0.6581613          NA  fv      Gamma        Cox, Gamma       NA #> 10609  664 0.7241489 0.137001157  fv      Gamma        Cox, Gamma    FALSE #> 10625  665 0.6926612 0.133197792  fv      Gamma        Cox, Gamma    FALSE #> 10641  666 0.6778013 0.132901048  fv      Gamma        Cox, Gamma    FALSE #> 10657  667 0.8867749 0.168166698  fv      Gamma        Cox, Gamma    FALSE #> 10673  668 0.8301043 0.158911230  fv      Gamma        Cox, Gamma    FALSE #> 10689  669 0.5407391 0.106146295  fv      Gamma        Cox, Gamma    FALSE #> 10705  670 0.8485756 0.162192318  fv      Gamma        Cox, Gamma    FALSE #> 10721  671 0.8766589 0.163763076  fv      Gamma        Cox, Gamma    FALSE #> 10737  672 0.6153715          NA  fv      Gamma        Cox, Gamma       NA #> 10753  673 0.6107089 0.117370604  fv      Gamma        Cox, Gamma    FALSE #> 10769  674 0.9545713 0.180865051  fv      Gamma        Cox, Gamma    FALSE #> 10785  675 0.6959295 0.132291736  fv      Gamma        Cox, Gamma    FALSE #> 10801  676 0.5082065 0.102830300  fv      Gamma        Cox, Gamma    FALSE #> 10817  677 0.6335714 0.121472662  fv      Gamma        Cox, Gamma    FALSE #> 10833  678 0.8358190 0.157360400  fv      Gamma        Cox, Gamma    FALSE #> 10849  679 0.9489850 0.175902516  fv      Gamma        Cox, Gamma    FALSE #> 10865  680 0.6831995 0.135084593  fv      Gamma        Cox, Gamma    FALSE #> 10881  681 0.5643254 0.110253548  fv      Gamma        Cox, Gamma    FALSE #> 10897  682 0.7617965 0.143922368  fv      Gamma        Cox, Gamma    FALSE #> 10913  683 0.8612983 0.164005648  fv      Gamma        Cox, Gamma    FALSE #> 10929  684 0.9306887 0.172309343  fv      Gamma        Cox, Gamma    FALSE #> 10945  685 0.6426137 0.123487366  fv      Gamma        Cox, Gamma    FALSE #> 10961  686 0.5504300 0.108056938  fv      Gamma        Cox, Gamma    FALSE #> 10977  687 1.0715471 0.195861853  fv      Gamma        Cox, Gamma     TRUE #> 10993  688 0.7247087 0.137711351  fv      Gamma        Cox, Gamma    FALSE #> 11009  689 0.7044312 0.134177121  fv      Gamma        Cox, Gamma    FALSE #> 11025  690 0.9424856 0.173674021  fv      Gamma        Cox, Gamma    FALSE #> 11041  691 0.7890166 0.149550201  fv      Gamma        Cox, Gamma    FALSE #> 11057  692 0.7272266 0.137587457  fv      Gamma        Cox, Gamma    FALSE #> 11073  693 0.8573916 0.162747887  fv      Gamma        Cox, Gamma    FALSE #> 11089  694 0.8534868 0.161603640  fv      Gamma        Cox, Gamma    FALSE #> 11105  695 0.7322424 0.142478400  fv      Gamma        Cox, Gamma    FALSE #> 11121  696 0.7257254 0.140591529  fv      Gamma        Cox, Gamma    FALSE #> 11137  697 0.7333151 0.139148123  fv      Gamma        Cox, Gamma    FALSE #> 11153  698 0.7079694 0.135061149  fv      Gamma        Cox, Gamma    FALSE #> 11169  699 0.7213398 0.136395589  fv      Gamma        Cox, Gamma    FALSE #> 11185  700 1.1804472 0.212933204  fv      Gamma        Cox, Gamma     TRUE #> 11201  701 0.6387989 0.122746463  fv      Gamma        Cox, Gamma    FALSE #> 11217  702 0.7190115 0.141352091  fv      Gamma        Cox, Gamma    FALSE #> 11233  703 0.5731256 0.112207992  fv      Gamma        Cox, Gamma    FALSE #> 11249  704 0.9037123 0.167031332  fv      Gamma        Cox, Gamma    FALSE #> 11265  705 0.9728518 0.179527679  fv      Gamma        Cox, Gamma    FALSE #> 11281  706 0.7500375 0.141850521  fv      Gamma        Cox, Gamma    FALSE #> 11297  707 0.5756002 0.113226216  fv      Gamma        Cox, Gamma    FALSE #> 11313  708 0.8181883 0.157337000  fv      Gamma        Cox, Gamma    FALSE #> 11329  709 0.7474298 0.141423613  fv      Gamma        Cox, Gamma    FALSE #> 11345  710 0.7454622 0.140549261  fv      Gamma        Cox, Gamma    FALSE #> 11361  711 0.3894059 0.079382350  fv      Gamma        Cox, Gamma     TRUE #> 11377  712 0.7212272 0.137524828  fv      Gamma        Cox, Gamma    FALSE #> 11393  713 0.7565196 0.142332022  fv      Gamma        Cox, Gamma    FALSE #> 11409  714 0.8595678 0.164830902  fv      Gamma        Cox, Gamma    FALSE #> 11425  715 0.9462299 0.175784475  fv      Gamma        Cox, Gamma    FALSE #> 11441  716 0.8149458 0.154563840  fv      Gamma        Cox, Gamma    FALSE #> 11457  717 0.6258843 0.125296314  fv      Gamma        Cox, Gamma    FALSE #> 11473  718 0.7241018 0.138809353  fv      Gamma        Cox, Gamma    FALSE #> 11489  719 0.6472919 0.124029879  fv      Gamma        Cox, Gamma    FALSE #> 11505  720 0.6462965 0.124507001  fv      Gamma        Cox, Gamma    FALSE #> 11521  721 0.8668431 0.163374189  fv      Gamma        Cox, Gamma    FALSE #> 11537  722 0.8751804 0.163803285  fv      Gamma        Cox, Gamma    FALSE #> 11553  723 0.7688477 0.148856537  fv      Gamma        Cox, Gamma    FALSE #> 11569  724 0.6330552 0.122262688  fv      Gamma        Cox, Gamma    FALSE #> 11585  725 0.6439821 0.123472393  fv      Gamma        Cox, Gamma    FALSE #> 11601  726 0.6382621 0.124017757  fv      Gamma        Cox, Gamma    FALSE #> 11617  727 0.8274516 0.157670945  fv      Gamma        Cox, Gamma    FALSE #> 11633  728 0.5470298 0.110455707  fv      Gamma        Cox, Gamma    FALSE #> 11649  729 0.7934510 0.149151202  fv      Gamma        Cox, Gamma    FALSE #> 11665  730 0.9028028 0.172657452  fv      Gamma        Cox, Gamma    FALSE #> 11681  731 0.9106973 0.169985677  fv      Gamma        Cox, Gamma    FALSE #> 11697  732 0.8609186 0.159667483  fv      Gamma        Cox, Gamma    FALSE #> 11713  733 0.5696342 0.111161534  fv      Gamma        Cox, Gamma    FALSE #> 11729  734 0.5714461 0.111644351  fv      Gamma        Cox, Gamma    FALSE #> 11745  735 0.7858057 0.147794812  fv      Gamma        Cox, Gamma    FALSE #> 11761  736 0.8311006 0.159563715  fv      Gamma        Cox, Gamma    FALSE #> 11777  737 0.7011583 0.133559009  fv      Gamma        Cox, Gamma    FALSE #> 11793  738 0.6425217 0.129359897  fv      Gamma        Cox, Gamma    FALSE #> 11809  739 0.6952162 0.132859258  fv      Gamma        Cox, Gamma    FALSE #> 11825  740 0.6816161 0.130493619  fv      Gamma        Cox, Gamma    FALSE #> 11841  741 0.7984124 0.151405815  fv      Gamma        Cox, Gamma    FALSE #> 11857  742 0.6113573 0.118351933  fv      Gamma        Cox, Gamma    FALSE #> 11873  743 0.7768640 0.146725181  fv      Gamma        Cox, Gamma    FALSE #> 11889  744 1.0010037 0.187976904  fv      Gamma        Cox, Gamma    FALSE #> 11905  745 0.6369326 0.124638617  fv      Gamma        Cox, Gamma    FALSE #> 11921  746 0.4547392 0.090878742  fv      Gamma        Cox, Gamma    FALSE #> 11937  747 0.6243564          NA  fv      Gamma        Cox, Gamma       NA #> 11953  748 0.8321617 0.155213104  fv      Gamma        Cox, Gamma    FALSE #> 11969  749 0.6214388 0.120268760  fv      Gamma        Cox, Gamma    FALSE #> 11985  750 0.5547780 0.108170284  fv      Gamma        Cox, Gamma    FALSE #> 12001  751 0.9029269 0.167251872  fv      Gamma        Cox, Gamma    FALSE #> 12017  752 0.8158367 0.153701903  fv      Gamma        Cox, Gamma    FALSE #> 12033  753 0.6268532 0.122830159  fv      Gamma        Cox, Gamma    FALSE #> 12049  754 0.7604952 0.143957643  fv      Gamma        Cox, Gamma    FALSE #> 12065  755 0.7755205 0.146754514  fv      Gamma        Cox, Gamma    FALSE #> 12081  756 1.1338308 0.205371520  fv      Gamma        Cox, Gamma     TRUE #> 12097  757 0.6141619 0.119190168  fv      Gamma        Cox, Gamma    FALSE #> 12113  758 0.5421448 0.106441629  fv      Gamma        Cox, Gamma    FALSE #> 12129  759 0.6135692 0.118641503  fv      Gamma        Cox, Gamma    FALSE #> 12145  760 0.6039901          NA  fv      Gamma        Cox, Gamma       NA #> 12161  761 0.7675576 0.146194900  fv      Gamma        Cox, Gamma    FALSE #> 12177  762 0.6497935 0.124892235  fv      Gamma        Cox, Gamma    FALSE #> 12193  763 0.6141013 0.119005700  fv      Gamma        Cox, Gamma    FALSE #> 12209  764 0.7138323 0.136853512  fv      Gamma        Cox, Gamma    FALSE #> 12225  765 0.6968334 0.134411196  fv      Gamma        Cox, Gamma    FALSE #> 12241  766 0.5653622 0.110834209  fv      Gamma        Cox, Gamma    FALSE #> 12257  767 0.7773964 0.147674261  fv      Gamma        Cox, Gamma    FALSE #> 12273  768 0.7275932 0.138104443  fv      Gamma        Cox, Gamma    FALSE #> 12289  769 0.8012518 0.150258739  fv      Gamma        Cox, Gamma    FALSE #> 12305  770 0.5881467 0.115918836  fv      Gamma        Cox, Gamma    FALSE #> 12321  771 0.5582652 0.109204974  fv      Gamma        Cox, Gamma    FALSE #> 12337  772 0.8615970 0.165608183  fv      Gamma        Cox, Gamma    FALSE #> 12353  773 0.6832303 0.131879273  fv      Gamma        Cox, Gamma    FALSE #> 12369  774 0.7392229 0.139984302  fv      Gamma        Cox, Gamma    FALSE #> 12385  775 0.9718989 0.182805349  fv      Gamma        Cox, Gamma    FALSE #> 12401  776 0.7453084 0.140746137  fv      Gamma        Cox, Gamma    FALSE #> 12417  777 0.6330554 0.122393589  fv      Gamma        Cox, Gamma    FALSE #> 12433  778 0.7985011 0.151646980  fv      Gamma        Cox, Gamma    FALSE #> 12449  779 0.8074756 0.152531003  fv      Gamma        Cox, Gamma    FALSE #> 12465  780 0.8180757 0.154987196  fv      Gamma        Cox, Gamma    FALSE #> 12481  781 0.6082118 0.119222818  fv      Gamma        Cox, Gamma    FALSE #> 12497  782 0.6587172 0.131465834  fv      Gamma        Cox, Gamma    FALSE #> 12513  783 0.7736700 0.145777095  fv      Gamma        Cox, Gamma    FALSE #> 12529  784 0.6471594 0.123949451  fv      Gamma        Cox, Gamma    FALSE #> 12545  785 0.6391755 0.122834514  fv      Gamma        Cox, Gamma    FALSE #> 12561  786 0.9004978 0.168639083  fv      Gamma        Cox, Gamma    FALSE #> 12577  787 0.8098357 0.157221614  fv      Gamma        Cox, Gamma    FALSE #> 12593  788 0.7364478 0.140602985  fv      Gamma        Cox, Gamma    FALSE #> 12609  789 0.8480764 0.161362989  fv      Gamma        Cox, Gamma    FALSE #> 12625  790 0.9009634 0.172274725  fv      Gamma        Cox, Gamma    FALSE #> 12641  791 0.9429739 0.177975160  fv      Gamma        Cox, Gamma    FALSE #> 12657  792 0.9334192 0.173662065  fv      Gamma        Cox, Gamma    FALSE #> 12673  793 0.6720125 0.128866983  fv      Gamma        Cox, Gamma    FALSE #> 12689  794 0.3839860 0.077645568  fv      Gamma        Cox, Gamma     TRUE #> 12705  795 0.6986569 0.134254162  fv      Gamma        Cox, Gamma    FALSE #> 12721  796 0.7909092 0.149755855  fv      Gamma        Cox, Gamma    FALSE #> 12737  797 0.6261971 0.121737443  fv      Gamma        Cox, Gamma    FALSE #> 12753  798 0.5844054 0.114012882  fv      Gamma        Cox, Gamma    FALSE #> 12769  799 0.9180832 0.177794269  fv      Gamma        Cox, Gamma    FALSE #> 12785  800 0.8898310 0.009215322  fv      Gamma        Cox, Gamma     TRUE #> 12801  801 0.6029141 0.118004690  fv      Gamma        Cox, Gamma    FALSE #> 12817  802 0.6136151 0.118209030  fv      Gamma        Cox, Gamma    FALSE #> 12833  803 0.7643843 0.144107978  fv      Gamma        Cox, Gamma    FALSE #> 12849  804 0.7880555 0.148940888  fv      Gamma        Cox, Gamma    FALSE #> 12865  805 0.7998431 0.151085310  fv      Gamma        Cox, Gamma    FALSE #> 12881  806 0.5799163 0.112694012  fv      Gamma        Cox, Gamma    FALSE #> 12897  807 0.9651011 0.178731784  fv      Gamma        Cox, Gamma    FALSE #> 12913  808 0.7025718 0.137651644  fv      Gamma        Cox, Gamma    FALSE #> 12929  809 0.8694688 0.167063978  fv      Gamma        Cox, Gamma    FALSE #> 12945  810 0.7524828 0.142292627  fv      Gamma        Cox, Gamma    FALSE #> 12961  811 0.9760360 0.179659577  fv      Gamma        Cox, Gamma    FALSE #> 12977  812 0.6752901 0.129939984  fv      Gamma        Cox, Gamma    FALSE #> 12993  813 0.8548886 0.159815547  fv      Gamma        Cox, Gamma    FALSE #> 13009  814 0.8475993 0.160224215  fv      Gamma        Cox, Gamma    FALSE #> 13025  815 1.0378135 0.193339139  fv      Gamma        Cox, Gamma     TRUE #> 13041  816 0.6058893 0.118810341  fv      Gamma        Cox, Gamma    FALSE #> 13057  817 0.8294245 0.160278552  fv      Gamma        Cox, Gamma    FALSE #> 13073  818 0.6699606 0.129819938  fv      Gamma        Cox, Gamma    FALSE #> 13089  819 0.9026802 0.171814094  fv      Gamma        Cox, Gamma    FALSE #> 13105  820 0.6607045 0.126534866  fv      Gamma        Cox, Gamma    FALSE #> 13121  821 0.7740695 0.148978813  fv      Gamma        Cox, Gamma    FALSE #> 13137  822 0.5192049 0.101919886  fv      Gamma        Cox, Gamma    FALSE #> 13153  823 0.7124120 0.136595828  fv      Gamma        Cox, Gamma    FALSE #> 13169  824 0.7414032 0.141357073  fv      Gamma        Cox, Gamma    FALSE #> 13185  825 0.5626547 0.109971816  fv      Gamma        Cox, Gamma    FALSE #> 13201  826 0.7043875 0.133119162  fv      Gamma        Cox, Gamma    FALSE #> 13217  827 0.6514503 0.124574860  fv      Gamma        Cox, Gamma    FALSE #> 13233  828 0.9596989 0.181593656  fv      Gamma        Cox, Gamma    FALSE #> 13249  829 0.6007949 0.116361517  fv      Gamma        Cox, Gamma    FALSE #> 13265  830 0.8469501 0.159224212  fv      Gamma        Cox, Gamma    FALSE #> 13281  831 0.5408164 0.107608019  fv      Gamma        Cox, Gamma    FALSE #> 13297  832 0.7255851 0.137920926  fv      Gamma        Cox, Gamma    FALSE #> 13313  833 0.7233601 0.137867717  fv      Gamma        Cox, Gamma    FALSE #> 13329  834 0.5366763 0.106094653  fv      Gamma        Cox, Gamma    FALSE #> 13345  835 0.6807868 0.129887049  fv      Gamma        Cox, Gamma    FALSE #> 13361  836 0.7233304 0.138523590  fv      Gamma        Cox, Gamma    FALSE #> 13377  837 0.6975474 0.134553921  fv      Gamma        Cox, Gamma    FALSE #> 13393  838 0.9069225 0.168108493  fv      Gamma        Cox, Gamma    FALSE #> 13409  839 0.6369026          NA  fv      Gamma        Cox, Gamma       NA #> 13425  840 0.7404369 0.141071662  fv      Gamma        Cox, Gamma    FALSE #> 13441  841 0.7236781 0.136543217  fv      Gamma        Cox, Gamma    FALSE #> 13457  842 0.7269617 0.139559720  fv      Gamma        Cox, Gamma    FALSE #> 13473  843 0.9404634 0.175372253  fv      Gamma        Cox, Gamma    FALSE #> 13489  844 0.7591388 0.146210176  fv      Gamma        Cox, Gamma    FALSE #> 13505  845 0.8950945 0.167596204  fv      Gamma        Cox, Gamma    FALSE #> 13521  846 0.6293815 0.123382026  fv      Gamma        Cox, Gamma    FALSE #> 13537  847 0.6395938 0.126059073  fv      Gamma        Cox, Gamma    FALSE #> 13553  848 0.5252646 0.103677785  fv      Gamma        Cox, Gamma    FALSE #> 13569  849 0.7224527 0.136457894  fv      Gamma        Cox, Gamma    FALSE #> 13585  850 0.6655871 0.127329444  fv      Gamma        Cox, Gamma    FALSE #> 13601  851 0.7693731 0.146390092  fv      Gamma        Cox, Gamma    FALSE #> 13617  852 0.4630289 0.092204110  fv      Gamma        Cox, Gamma    FALSE #> 13633  853 0.7458003 0.141114834  fv      Gamma        Cox, Gamma    FALSE #> 13649  854 0.5495523 0.107672747  fv      Gamma        Cox, Gamma    FALSE #> 13665  855 0.9345197 0.173532238  fv      Gamma        Cox, Gamma    FALSE #> 13681  856 0.8111527 0.152332420  fv      Gamma        Cox, Gamma    FALSE #> 13697  857 0.5890767 0.115410240  fv      Gamma        Cox, Gamma    FALSE #> 13713  858 0.6332795 0.122745694  fv      Gamma        Cox, Gamma    FALSE #> 13729  859 0.6800949 0.133382028  fv      Gamma        Cox, Gamma    FALSE #> 13745  860 0.6622329 0.127201962  fv      Gamma        Cox, Gamma    FALSE #> 13761  861 0.8276490 0.155843336  fv      Gamma        Cox, Gamma    FALSE #> 13777  862 0.6250495 0.119957952  fv      Gamma        Cox, Gamma    FALSE #> 13793  863 0.7531449 0.143142148  fv      Gamma        Cox, Gamma    FALSE #> 13809  864 0.7254803 0.138882972  fv      Gamma        Cox, Gamma    FALSE #> 13825  865 0.7898965 0.149750258  fv      Gamma        Cox, Gamma    FALSE #> 13841  866 0.6936516 0.132582282  fv      Gamma        Cox, Gamma    FALSE #> 13857  867 0.7247385 0.138061579  fv      Gamma        Cox, Gamma    FALSE #> 13873  868 0.7636970 0.144736951  fv      Gamma        Cox, Gamma    FALSE #> 13889  869 0.7396685 0.140631206  fv      Gamma        Cox, Gamma    FALSE #> 13905  870 0.6878653 0.134946113  fv      Gamma        Cox, Gamma    FALSE #> 13921  871 0.9322391 0.174943111  fv      Gamma        Cox, Gamma    FALSE #> 13937  872 0.8718313 0.164024706  fv      Gamma        Cox, Gamma    FALSE #> 13953  873 0.8129908 0.152112199  fv      Gamma        Cox, Gamma    FALSE #> 13969  874 1.0572431 0.200675949  fv      Gamma        Cox, Gamma     TRUE #> 13985  875 0.6157512 0.118829283  fv      Gamma        Cox, Gamma    FALSE #> 14001  876 0.6630098 0.126690567  fv      Gamma        Cox, Gamma    FALSE #> 14017  877 0.7466926 0.141466654  fv      Gamma        Cox, Gamma    FALSE #> 14033  878 0.7914158 0.152095093  fv      Gamma        Cox, Gamma    FALSE #> 14049  879 0.7052097 0.139283078  fv      Gamma        Cox, Gamma    FALSE #> 14065  880 0.9210401 0.170865848  fv      Gamma        Cox, Gamma    FALSE #> 14081  881 0.8075285 0.152978998  fv      Gamma        Cox, Gamma    FALSE #> 14097  882 0.9622325 0.177253168  fv      Gamma        Cox, Gamma    FALSE #> 14113  883 0.6113031 0.118690674  fv      Gamma        Cox, Gamma    FALSE #> 14129  884 0.5963768 0.115010525  fv      Gamma        Cox, Gamma    FALSE #> 14145  885 0.5900931 0.114649215  fv      Gamma        Cox, Gamma    FALSE #> 14161  886 0.5895583 0.114812076  fv      Gamma        Cox, Gamma    FALSE #> 14177  887 0.7148329 0.136753996  fv      Gamma        Cox, Gamma    FALSE #> 14193  888 0.9594745 0.176947839  fv      Gamma        Cox, Gamma    FALSE #> 14209  889 0.8042972 0.150368824  fv      Gamma        Cox, Gamma    FALSE #> 14225  890 0.6175176 0.120106236  fv      Gamma        Cox, Gamma    FALSE #> 14241  891 0.5137172 0.100840519  fv      Gamma        Cox, Gamma    FALSE #> 14257  892 0.6850107 0.131015607  fv      Gamma        Cox, Gamma    FALSE #> 14273  893 0.8293255 0.157982630  fv      Gamma        Cox, Gamma    FALSE #> 14289  894 0.5677705 0.110836627  fv      Gamma        Cox, Gamma    FALSE #> 14305  895 0.7644482 0.145093246  fv      Gamma        Cox, Gamma    FALSE #> 14321  896 0.8710288 0.162208151  fv      Gamma        Cox, Gamma    FALSE #> 14337  897 0.7168600 0.136395174  fv      Gamma        Cox, Gamma    FALSE #> 14353  898 0.9065450 0.167962428  fv      Gamma        Cox, Gamma    FALSE #> 14369  899 0.7682189 0.146120927  fv      Gamma        Cox, Gamma    FALSE #> 14385  900 0.7950990 0.152564307  fv      Gamma        Cox, Gamma    FALSE #> 14401  901 0.6035077          NA  fv      Gamma        Cox, Gamma       NA #> 14417  902 0.5803465 0.112617990  fv      Gamma        Cox, Gamma    FALSE #> 14433  903 0.6449096 0.123722630  fv      Gamma        Cox, Gamma    FALSE #> 14449  904 1.0645195 0.202580828  fv      Gamma        Cox, Gamma     TRUE #> 14465  905 0.6154062 0.118202301  fv      Gamma        Cox, Gamma    FALSE #> 14481  906 0.9287891 0.171263363  fv      Gamma        Cox, Gamma    FALSE #> 14497  907 0.7180920 0.136679548  fv      Gamma        Cox, Gamma    FALSE #> 14513  908 0.6552036 0.129720385  fv      Gamma        Cox, Gamma    FALSE #> 14529  909 0.6176879 0.120066685  fv      Gamma        Cox, Gamma    FALSE #> 14545  910 0.5521694 0.107962585  fv      Gamma        Cox, Gamma    FALSE #> 14561  911 0.7069066 0.138490781  fv      Gamma        Cox, Gamma    FALSE #> 14577  912 0.5462190 0.106165748  fv      Gamma        Cox, Gamma    FALSE #> 14593  913 0.7016262 0.133463712  fv      Gamma        Cox, Gamma    FALSE #> 14609  914 0.6332994 0.123546571  fv      Gamma        Cox, Gamma    FALSE #> 14625  915 0.8871169 0.168167223  fv      Gamma        Cox, Gamma    FALSE #> 14641  916 0.5314523 0.103737093  fv      Gamma        Cox, Gamma    FALSE #> 14657  917 0.8251601 0.158076990  fv      Gamma        Cox, Gamma    FALSE #> 14673  918 0.7812981 0.146882310  fv      Gamma        Cox, Gamma    FALSE #> 14689  919 0.5633497 0.109510022  fv      Gamma        Cox, Gamma    FALSE #> 14705  920 0.7551588 0.142268945  fv      Gamma        Cox, Gamma    FALSE #> 14721  921 0.8233179 0.155619571  fv      Gamma        Cox, Gamma    FALSE #> 14737  922 1.0592208 0.198177894  fv      Gamma        Cox, Gamma     TRUE #> 14753  923 0.7166090 0.136329906  fv      Gamma        Cox, Gamma    FALSE #> 14769  924 0.7695951 0.144746860  fv      Gamma        Cox, Gamma    FALSE #> 14785  925 0.8674089 0.165902857  fv      Gamma        Cox, Gamma    FALSE #> 14801  926 0.7045694 0.133491756  fv      Gamma        Cox, Gamma    FALSE #> 14817  927 0.4593230 0.091649779  fv      Gamma        Cox, Gamma    FALSE #> 14833  928 0.6908884 0.131414692  fv      Gamma        Cox, Gamma    FALSE #> 14849  929 0.7466114 0.142611050  fv      Gamma        Cox, Gamma    FALSE #> 14865  930 0.8842713 0.169298190  fv      Gamma        Cox, Gamma    FALSE #> 14881  931 0.6753965 0.128818557  fv      Gamma        Cox, Gamma    FALSE #> 14897  932 0.8354712 0.155898458  fv      Gamma        Cox, Gamma    FALSE #> 14913  933 0.6292981 0.121754957  fv      Gamma        Cox, Gamma    FALSE #> 14929  934 0.6014700 0.116226490  fv      Gamma        Cox, Gamma    FALSE #> 14945  935 0.5048390 0.100465756  fv      Gamma        Cox, Gamma    FALSE #> 14961  936 0.5914851 0.114415232  fv      Gamma        Cox, Gamma    FALSE #> 14977  937 1.1046727 0.204362478  fv      Gamma        Cox, Gamma     TRUE #> 14993  938 0.7889907 0.149274856  fv      Gamma        Cox, Gamma    FALSE #> 15009  939 0.8269311 0.155176151  fv      Gamma        Cox, Gamma    FALSE #> 15025  940 0.7645462 0.144080751  fv      Gamma        Cox, Gamma    FALSE #> 15041  941 0.6339856 0.122117198  fv      Gamma        Cox, Gamma    FALSE #> 15057  942 0.6443675 0.124341205  fv      Gamma        Cox, Gamma    FALSE #> 15073  943 0.4804556 0.095616415  fv      Gamma        Cox, Gamma    FALSE #> 15089  944 0.6182545 0.118864711  fv      Gamma        Cox, Gamma    FALSE #> 15105  945 0.6165893 0.119585898  fv      Gamma        Cox, Gamma    FALSE #> 15121  946 0.7660069 0.148721347  fv      Gamma        Cox, Gamma    FALSE #> 15137  947 0.6810811 0.132003647  fv      Gamma        Cox, Gamma    FALSE #> 15153  948 0.5142477 0.102747891  fv      Gamma        Cox, Gamma    FALSE #> 15169  949 0.6180526 0.120672028  fv      Gamma        Cox, Gamma    FALSE #> 15185  950 0.6232314 0.121836187  fv      Gamma        Cox, Gamma    FALSE #> 15201  951 0.7127207 0.135731437  fv      Gamma        Cox, Gamma    FALSE #> 15217  952 0.6730731 0.129521227  fv      Gamma        Cox, Gamma    FALSE #> 15233  953 1.0916190 0.201684689  fv      Gamma        Cox, Gamma     TRUE #> 15249  954 0.6736457 0.128998241  fv      Gamma        Cox, Gamma    FALSE #> 15265  955 0.8188607 0.153567795  fv      Gamma        Cox, Gamma    FALSE #> 15281  956 0.6635977 0.128355306  fv      Gamma        Cox, Gamma    FALSE #> 15297  957 0.6342700 0.123055464  fv      Gamma        Cox, Gamma    FALSE #> 15313  958 0.5356595 0.105054232  fv      Gamma        Cox, Gamma    FALSE #> 15329  959 0.5970231 0.115463296  fv      Gamma        Cox, Gamma    FALSE #> 15345  960 0.7817517 0.148307504  fv      Gamma        Cox, Gamma    FALSE #> 15361  961 0.5115240 0.101112635  fv      Gamma        Cox, Gamma    FALSE #> 15377  962 0.9019772 0.168201411  fv      Gamma        Cox, Gamma    FALSE #> 15393  963 0.8333257 0.157848012  fv      Gamma        Cox, Gamma    FALSE #> 15409  964 0.6911721 0.132489255  fv      Gamma        Cox, Gamma    FALSE #> 15425  965 0.6365177          NA  fv      Gamma        Cox, Gamma       NA #> 15441  966 0.7677420 0.146639440  fv      Gamma        Cox, Gamma    FALSE #> 15457  967 0.6649532 0.127278523  fv      Gamma        Cox, Gamma    FALSE #> 15473  968 0.5605857          NA  fv      Gamma        Cox, Gamma       NA #> 15489  969 0.7488110 0.144103923  fv      Gamma        Cox, Gamma    FALSE #> 15505  970 0.7009266 0.138336093  fv      Gamma        Cox, Gamma    FALSE #> 15521  971 0.6355460 0.123055558  fv      Gamma        Cox, Gamma    FALSE #> 15537  972 0.6550597 0.129518392  fv      Gamma        Cox, Gamma    FALSE #> 15553  973 0.9634266 0.184669702  fv      Gamma        Cox, Gamma    FALSE #> 15569  974 0.5254167 0.103755606  fv      Gamma        Cox, Gamma    FALSE #> 15585  975 0.5023696 0.099748952  fv      Gamma        Cox, Gamma    FALSE #> 15601  976 0.7553050 0.143657040  fv      Gamma        Cox, Gamma    FALSE #> 15617  977 0.8486740 0.158219365  fv      Gamma        Cox, Gamma    FALSE #> 15633  978 0.8302479 0.159751197  fv      Gamma        Cox, Gamma    FALSE #> 15649  979 0.8144014 0.157040892  fv      Gamma        Cox, Gamma    FALSE #> 15665  980 0.5347503 0.104809583  fv      Gamma        Cox, Gamma    FALSE #> 15681  981 0.7146458 0.137812497  fv      Gamma        Cox, Gamma    FALSE #> 15697  982 0.9672795 0.181190607  fv      Gamma        Cox, Gamma    FALSE #> 15713  983 0.5328782 0.105163422  fv      Gamma        Cox, Gamma    FALSE #> 15729  984 0.7516136 0.142836565  fv      Gamma        Cox, Gamma    FALSE #> 15745  985 0.8197373 0.157629048  fv      Gamma        Cox, Gamma    FALSE #> 15761  986 0.6112163 0.117185425  fv      Gamma        Cox, Gamma    FALSE #> 15777  987 0.5479787 0.107370042  fv      Gamma        Cox, Gamma    FALSE #> 15793  988 0.6274646 0.121024201  fv      Gamma        Cox, Gamma    FALSE #> 15809  989 0.7944407 0.149409280  fv      Gamma        Cox, Gamma    FALSE #> 15825  990 0.7107532 0.134620748  fv      Gamma        Cox, Gamma    FALSE #> 15841  991 0.7552528 0.144020517  fv      Gamma        Cox, Gamma    FALSE #> 15857  992 0.7777255 0.148341692  fv      Gamma        Cox, Gamma    FALSE #> 15873  993 0.9434033 0.174832389  fv      Gamma        Cox, Gamma    FALSE #> 15889  994 0.6601987 0.127035638  fv      Gamma        Cox, Gamma    FALSE #> 15905  995 0.8169684 0.154338190  fv      Gamma        Cox, Gamma    FALSE #> 15921  996 0.6693038 0.128326952  fv      Gamma        Cox, Gamma    FALSE #> 15937  997 0.6015899 0.120247558  fv      Gamma        Cox, Gamma    FALSE #> 15953  998 0.6444796          NA  fv      Gamma        Cox, Gamma       NA #> 15969  999 0.5082930 0.099750960  fv      Gamma        Cox, Gamma    FALSE #> 15985 1000 0.4986563 0.099227493  fv      Gamma        Cox, Gamma    FALSE #> 2        1 0.8396248 0.166336769  fv      Gamma   Cox, Log-Normal    FALSE #> 18       2 0.8654809 0.287973324  fv      Gamma   Cox, Log-Normal    FALSE #> 34       3 1.5533362 0.443124033  fv      Gamma   Cox, Log-Normal     TRUE #> 50       4 1.2021700 0.231528152  fv      Gamma   Cox, Log-Normal    FALSE #> 66       5 0.9069256 0.231546211  fv      Gamma   Cox, Log-Normal    FALSE #> 82       6 0.9705696 0.123099170  fv      Gamma   Cox, Log-Normal    FALSE #> 98       7 0.9037494 0.210255478  fv      Gamma   Cox, Log-Normal    FALSE #> 114      8 1.3330730 0.290669413  fv      Gamma   Cox, Log-Normal    FALSE #> 130      9 1.2289061 0.328816511  fv      Gamma   Cox, Log-Normal    FALSE #> 146     10 0.9917595 0.216966969  fv      Gamma   Cox, Log-Normal    FALSE #> 162     11 1.0384351 0.279205813  fv      Gamma   Cox, Log-Normal    FALSE #> 178     12 1.4401730 0.363584050  fv      Gamma   Cox, Log-Normal    FALSE #> 194     13 1.1820887 0.272273545  fv      Gamma   Cox, Log-Normal    FALSE #> 210     14 0.7876591 0.215587735  fv      Gamma   Cox, Log-Normal    FALSE #> 226     15 1.1958391 0.297749174  fv      Gamma   Cox, Log-Normal    FALSE #> 242     16 1.2056374 0.239853982  fv      Gamma   Cox, Log-Normal    FALSE #> 258     17 0.7638555 0.152259647  fv      Gamma   Cox, Log-Normal    FALSE #> 274     18 0.5600481 0.242034309  fv      Gamma   Cox, Log-Normal    FALSE #> 290     19 0.8972620 0.206362814  fv      Gamma   Cox, Log-Normal    FALSE #> 306     20 1.2974784 0.351726424  fv      Gamma   Cox, Log-Normal    FALSE #> 322     21 0.6876797 0.226521087  fv      Gamma   Cox, Log-Normal    FALSE #> 338     22 1.2148856 0.314376529  fv      Gamma   Cox, Log-Normal    FALSE #> 354     23 0.8145580 0.191955407  fv      Gamma   Cox, Log-Normal    FALSE #> 370     24 1.0265042 0.210536939  fv      Gamma   Cox, Log-Normal    FALSE #> 386     25 1.1179286 0.310945298  fv      Gamma   Cox, Log-Normal    FALSE #> 402     26 0.9579917 0.258514556  fv      Gamma   Cox, Log-Normal    FALSE #> 418     27 1.7975474 0.493417117  fv      Gamma   Cox, Log-Normal     TRUE #> 434     28 1.4423476 0.315633062  fv      Gamma   Cox, Log-Normal    FALSE #> 450     29 1.2699356 0.241097065  fv      Gamma   Cox, Log-Normal    FALSE #> 466     30 1.4047494 0.406179915  fv      Gamma   Cox, Log-Normal     TRUE #> 482     31 0.8005746 0.266232147  fv      Gamma   Cox, Log-Normal    FALSE #> 498     32 0.9957436 0.261294995  fv      Gamma   Cox, Log-Normal    FALSE #> 514     33 0.8044589 0.172836665  fv      Gamma   Cox, Log-Normal    FALSE #> 530     34 0.7033578 0.165484797  fv      Gamma   Cox, Log-Normal    FALSE #> 546     35 1.0301148 0.275033997  fv      Gamma   Cox, Log-Normal    FALSE #> 562     36 0.7542718 0.277262843  fv      Gamma   Cox, Log-Normal    FALSE #> 578     37 0.7112477 0.143086191  fv      Gamma   Cox, Log-Normal    FALSE #> 594     38 0.6321543 0.120638937  fv      Gamma   Cox, Log-Normal    FALSE #> 610     39 0.9190196 0.162403199  fv      Gamma   Cox, Log-Normal    FALSE #> 626     40 0.5901511 0.153295406  fv      Gamma   Cox, Log-Normal    FALSE #> 642     41 1.6955260 0.274068495  fv      Gamma   Cox, Log-Normal     TRUE #> 658     42 0.9786594 0.338436250  fv      Gamma   Cox, Log-Normal    FALSE #> 674     43 1.0846014 0.238001169  fv      Gamma   Cox, Log-Normal    FALSE #> 690     44 1.0670686 0.209168137  fv      Gamma   Cox, Log-Normal    FALSE #> 706     45 0.9094972 0.153713130  fv      Gamma   Cox, Log-Normal    FALSE #> 722     46 0.8628380 0.143624017  fv      Gamma   Cox, Log-Normal    FALSE #> 738     47 1.3744833 0.379085783  fv      Gamma   Cox, Log-Normal    FALSE #> 754     48 0.9447438 0.241373759  fv      Gamma   Cox, Log-Normal    FALSE #> 770     49 1.2051056 0.332843614  fv      Gamma   Cox, Log-Normal    FALSE #> 786     50 1.0122736 0.235362960  fv      Gamma   Cox, Log-Normal    FALSE #> 802     51 1.2202208 0.297438475  fv      Gamma   Cox, Log-Normal    FALSE #> 818     52 0.6319282 0.158343089  fv      Gamma   Cox, Log-Normal    FALSE #> 834     53 0.7892154 0.148666919  fv      Gamma   Cox, Log-Normal    FALSE #> 850     54 0.6218626 0.147453939  fv      Gamma   Cox, Log-Normal    FALSE #> 866     55 1.0992895 0.242091300  fv      Gamma   Cox, Log-Normal    FALSE #> 882     56 0.7880115 0.207821575  fv      Gamma   Cox, Log-Normal    FALSE #> 898     57 1.0838536 0.252999308  fv      Gamma   Cox, Log-Normal    FALSE #> 914     58 0.9053863 0.269296974  fv      Gamma   Cox, Log-Normal    FALSE #> 930     59 0.8521828 0.183532101  fv      Gamma   Cox, Log-Normal    FALSE #> 946     60 1.1226700 0.315581488  fv      Gamma   Cox, Log-Normal    FALSE #> 962     61 0.8470775 0.165184536  fv      Gamma   Cox, Log-Normal    FALSE #> 978     62 0.6807293 0.158237205  fv      Gamma   Cox, Log-Normal    FALSE #> 994     63 1.1740857 0.253571694  fv      Gamma   Cox, Log-Normal    FALSE #> 1010    64 0.8143805 0.154909462  fv      Gamma   Cox, Log-Normal    FALSE #> 1026    65 0.8776911 0.151461233  fv      Gamma   Cox, Log-Normal    FALSE #> 1042    66 0.6450936 0.146446549  fv      Gamma   Cox, Log-Normal    FALSE #> 1058    67 1.1252565 0.202649366  fv      Gamma   Cox, Log-Normal    FALSE #> 1074    68 0.9440104 0.190197229  fv      Gamma   Cox, Log-Normal    FALSE #> 1090    69 0.6562820 0.142885574  fv      Gamma   Cox, Log-Normal    FALSE #> 1106    70 0.8936893 0.304947589  fv      Gamma   Cox, Log-Normal    FALSE #> 1122    71 1.2357687 0.253047569  fv      Gamma   Cox, Log-Normal    FALSE #> 1138    72 0.7974302 0.195318813  fv      Gamma   Cox, Log-Normal    FALSE #> 1154    73 0.5968091 0.117975560  fv      Gamma   Cox, Log-Normal    FALSE #> 1170    74 0.8786436 0.164497228  fv      Gamma   Cox, Log-Normal    FALSE #> 1186    75 0.9750754 0.226532064  fv      Gamma   Cox, Log-Normal    FALSE #> 1202    76 0.9645318 0.277393275  fv      Gamma   Cox, Log-Normal    FALSE #> 1218    77 1.0142834 0.249169464  fv      Gamma   Cox, Log-Normal    FALSE #> 1234    78 1.4324625 0.392466363  fv      Gamma   Cox, Log-Normal     TRUE #> 1250    79 2.0973063 0.420079538  fv      Gamma   Cox, Log-Normal     TRUE #> 1266    80 0.7760451 0.266768649  fv      Gamma   Cox, Log-Normal    FALSE #> 1282    81 1.2518287 0.326399591  fv      Gamma   Cox, Log-Normal    FALSE #> 1298    82 0.9445711 0.170469026  fv      Gamma   Cox, Log-Normal    FALSE #> 1314    83 0.6203977 0.269831486  fv      Gamma   Cox, Log-Normal    FALSE #> 1330    84 0.9623414 0.181377810  fv      Gamma   Cox, Log-Normal    FALSE #> 1346    85 0.8411381 0.151718027  fv      Gamma   Cox, Log-Normal    FALSE #> 1362    86 0.8777074 0.173496863  fv      Gamma   Cox, Log-Normal    FALSE #> 1378    87 0.7852935 0.148358262  fv      Gamma   Cox, Log-Normal    FALSE #> 1394    88 0.8880239 0.169358612  fv      Gamma   Cox, Log-Normal    FALSE #> 1410    89 1.0105583 0.218935211  fv      Gamma   Cox, Log-Normal    FALSE #> 1426    90 1.1248867 0.226352162  fv      Gamma   Cox, Log-Normal    FALSE #> 1442    91 0.9313413 0.176657570  fv      Gamma   Cox, Log-Normal    FALSE #> 1458    92 0.8291607 0.161043102  fv      Gamma   Cox, Log-Normal    FALSE #> 1474    93 1.4062271 0.492947581  fv      Gamma   Cox, Log-Normal     TRUE #> 1490    94 1.1792259 0.371694722  fv      Gamma   Cox, Log-Normal    FALSE #> 1506    95 0.9422527 0.186808785  fv      Gamma   Cox, Log-Normal    FALSE #> 1522    96 0.5352317 0.122349552  fv      Gamma   Cox, Log-Normal    FALSE #> 1538    97 0.7041875 0.129219142  fv      Gamma   Cox, Log-Normal    FALSE #> 1554    98 1.0580233 0.191281068  fv      Gamma   Cox, Log-Normal    FALSE #> 1570    99 0.7207367 0.195627282  fv      Gamma   Cox, Log-Normal    FALSE #> 1586   100 1.2143961 0.232039398  fv      Gamma   Cox, Log-Normal    FALSE #> 1602   101 1.1645575 0.202974678  fv      Gamma   Cox, Log-Normal    FALSE #> 1618   102 0.9260904 0.205704353  fv      Gamma   Cox, Log-Normal    FALSE #> 1634   103 1.3313203 0.415434246  fv      Gamma   Cox, Log-Normal     TRUE #> 1650   104 1.0674271 0.230488475  fv      Gamma   Cox, Log-Normal    FALSE #> 1666   105 1.2580642 0.312120608  fv      Gamma   Cox, Log-Normal    FALSE #> 1682   106 0.8964461 0.176933658  fv      Gamma   Cox, Log-Normal    FALSE #> 1698   107 1.3021989 0.320620447  fv      Gamma   Cox, Log-Normal    FALSE #> 1714   108 1.1976726 0.374873974  fv      Gamma   Cox, Log-Normal    FALSE #> 1730   109 0.9569265 0.273685851  fv      Gamma   Cox, Log-Normal    FALSE #> 1746   110 1.0515898 0.268561562  fv      Gamma   Cox, Log-Normal    FALSE #> 1762   111 1.1520637 0.261829502  fv      Gamma   Cox, Log-Normal    FALSE #> 1778   112 0.5659670 0.130417896  fv      Gamma   Cox, Log-Normal    FALSE #> 1794   113 0.6317424 0.122015603  fv      Gamma   Cox, Log-Normal    FALSE #> 1810   114 1.6902270 0.334508909  fv      Gamma   Cox, Log-Normal     TRUE #> 1826   115 0.8076343 0.168987445  fv      Gamma   Cox, Log-Normal    FALSE #> 1842   116 0.5972826 0.130764421  fv      Gamma   Cox, Log-Normal    FALSE #> 1858   117 1.0718606 0.210925331  fv      Gamma   Cox, Log-Normal    FALSE #> 1874   118 0.6408203 0.135263593  fv      Gamma   Cox, Log-Normal    FALSE #> 1890   119 0.7973938 0.174571464  fv      Gamma   Cox, Log-Normal    FALSE #> 1906   120 0.9153147 0.177857493  fv      Gamma   Cox, Log-Normal    FALSE #> 1922   121 0.7644599 0.150392418  fv      Gamma   Cox, Log-Normal    FALSE #> 1938   122 0.8651735 0.261036284  fv      Gamma   Cox, Log-Normal    FALSE #> 1954   123 0.9257951 0.187252850  fv      Gamma   Cox, Log-Normal    FALSE #> 1970   124 0.9726617 0.154366389  fv      Gamma   Cox, Log-Normal    FALSE #> 1986   125 1.2347948 0.317895986  fv      Gamma   Cox, Log-Normal    FALSE #> 2002   126 1.5107344 0.412559767  fv      Gamma   Cox, Log-Normal     TRUE #> 2018   127 1.0864985 0.244291312  fv      Gamma   Cox, Log-Normal    FALSE #> 2034   128 1.0878460 0.217467789  fv      Gamma   Cox, Log-Normal    FALSE #> 2050   129 0.7731209 0.303435174  fv      Gamma   Cox, Log-Normal    FALSE #> 2066   130 0.8530204 0.197021469  fv      Gamma   Cox, Log-Normal    FALSE #> 2082   131 0.8648655 0.165310174  fv      Gamma   Cox, Log-Normal    FALSE #> 2098   132 1.0140972 0.302995158  fv      Gamma   Cox, Log-Normal    FALSE #> 2114   133 0.9104868 0.221438344  fv      Gamma   Cox, Log-Normal    FALSE #> 2130   134 1.0784862 0.271217304  fv      Gamma   Cox, Log-Normal    FALSE #> 2146   135 0.7869113 0.180651674  fv      Gamma   Cox, Log-Normal    FALSE #> 2162   136 0.9755650 0.258643410  fv      Gamma   Cox, Log-Normal    FALSE #> 2178   137 1.2555462 0.298280359  fv      Gamma   Cox, Log-Normal    FALSE #> 2194   138 1.2653651 0.320038448  fv      Gamma   Cox, Log-Normal    FALSE #> 2210   139 0.7961798 0.144604970  fv      Gamma   Cox, Log-Normal    FALSE #> 2226   140 1.0511116 0.243823137  fv      Gamma   Cox, Log-Normal    FALSE #> 2242   141 0.7462247 0.208792390  fv      Gamma   Cox, Log-Normal    FALSE #> 2258   142 0.9738903 0.212138716  fv      Gamma   Cox, Log-Normal    FALSE #> 2274   143 1.5330380 0.537623136  fv      Gamma   Cox, Log-Normal     TRUE #> 2290   144 1.1149075 0.230445555  fv      Gamma   Cox, Log-Normal    FALSE #> 2306   145 0.8547372 0.185823683  fv      Gamma   Cox, Log-Normal    FALSE #> 2322   146 0.8861187 0.183574772  fv      Gamma   Cox, Log-Normal    FALSE #> 2338   147 1.0399587 0.194159810  fv      Gamma   Cox, Log-Normal    FALSE #> 2354   148 0.6173024 0.109281577  fv      Gamma   Cox, Log-Normal    FALSE #> 2370   149 0.8373295 0.191571256  fv      Gamma   Cox, Log-Normal    FALSE #> 2386   150 1.1780887 0.217442230  fv      Gamma   Cox, Log-Normal    FALSE #> 2402   151 1.1285433 0.226278803  fv      Gamma   Cox, Log-Normal    FALSE #> 2418   152 1.1992517 0.394939611  fv      Gamma   Cox, Log-Normal     TRUE #> 2434   153 0.6319684 0.172725513  fv      Gamma   Cox, Log-Normal    FALSE #> 2450   154 1.1200567 0.236910662  fv      Gamma   Cox, Log-Normal    FALSE #> 2466   155 0.9404373 0.309352450  fv      Gamma   Cox, Log-Normal    FALSE #> 2482   156 0.9335558 0.170459226  fv      Gamma   Cox, Log-Normal    FALSE #> 2498   157 1.4355503 0.361703696  fv      Gamma   Cox, Log-Normal    FALSE #> 2514   158 1.4701395 0.366841193  fv      Gamma   Cox, Log-Normal     TRUE #> 2530   159 0.6612553 0.189431483  fv      Gamma   Cox, Log-Normal    FALSE #> 2546   160 0.6884649 0.160081027  fv      Gamma   Cox, Log-Normal    FALSE #> 2562   161 1.7235061 0.366167519  fv      Gamma   Cox, Log-Normal     TRUE #> 2578   162 0.9637307 0.277366991  fv      Gamma   Cox, Log-Normal    FALSE #> 2594   163 0.6826128 0.123999357  fv      Gamma   Cox, Log-Normal    FALSE #> 2610   164 1.2137278 0.254986878  fv      Gamma   Cox, Log-Normal    FALSE #> 2626   165 1.0759865 0.243107518  fv      Gamma   Cox, Log-Normal    FALSE #> 2642   166 1.1514913 0.353009050  fv      Gamma   Cox, Log-Normal    FALSE #> 2658   167 1.3171715 0.267054689  fv      Gamma   Cox, Log-Normal    FALSE #> 2674   168 1.0866206 0.235629785  fv      Gamma   Cox, Log-Normal    FALSE #> 2690   169 0.9467015 0.224115190  fv      Gamma   Cox, Log-Normal    FALSE #> 2706   170 0.9395929 0.217597367  fv      Gamma   Cox, Log-Normal    FALSE #> 2722   171 0.9618300 0.263408111  fv      Gamma   Cox, Log-Normal    FALSE #> 2738   172 1.1425683 0.242325710  fv      Gamma   Cox, Log-Normal    FALSE #> 2754   173 0.7877272 0.217794070  fv      Gamma   Cox, Log-Normal    FALSE #> 2770   174 1.1282426 0.267735233  fv      Gamma   Cox, Log-Normal    FALSE #> 2786   175 0.8178924 0.230738271  fv      Gamma   Cox, Log-Normal    FALSE #> 2802   176 0.8741514 0.162586064  fv      Gamma   Cox, Log-Normal    FALSE #> 2818   177 0.7687814 0.283467846  fv      Gamma   Cox, Log-Normal    FALSE #> 2834   178 1.1744687 0.211056326  fv      Gamma   Cox, Log-Normal    FALSE #> 2850   179 0.7526095 0.150027385  fv      Gamma   Cox, Log-Normal    FALSE #> 2866   180 1.0216310 0.316148826  fv      Gamma   Cox, Log-Normal    FALSE #> 2882   181 1.1712040 0.260266639  fv      Gamma   Cox, Log-Normal    FALSE #> 2898   182 0.9333976 0.175417306  fv      Gamma   Cox, Log-Normal    FALSE #> 2914   183 0.7609429 0.152764885  fv      Gamma   Cox, Log-Normal    FALSE #> 2930   184 0.9364676 0.263118357  fv      Gamma   Cox, Log-Normal    FALSE #> 2946   185 1.1970108 0.256427056  fv      Gamma   Cox, Log-Normal    FALSE #> 2962   186 1.3811930 0.386834280  fv      Gamma   Cox, Log-Normal    FALSE #> 2978   187 0.9677626 0.218961822  fv      Gamma   Cox, Log-Normal    FALSE #> 2994   188 0.6677381 0.129193425  fv      Gamma   Cox, Log-Normal    FALSE #> 3010   189 1.0300136 0.181675457  fv      Gamma   Cox, Log-Normal    FALSE #> 3026   190 0.9781161 0.186623640  fv      Gamma   Cox, Log-Normal    FALSE #> 3042   191 1.0047812 0.234422284  fv      Gamma   Cox, Log-Normal    FALSE #> 3058   192 1.0481335 0.313856424  fv      Gamma   Cox, Log-Normal    FALSE #> 3074   193 0.8578876 0.206851646  fv      Gamma   Cox, Log-Normal    FALSE #> 3090   194 0.8025329 0.177765199  fv      Gamma   Cox, Log-Normal    FALSE #> 3106   195 1.0948348 0.189268663  fv      Gamma   Cox, Log-Normal    FALSE #> 3122   196 1.1531601 0.315355691  fv      Gamma   Cox, Log-Normal    FALSE #> 3138   197 0.9174118 0.146017107  fv      Gamma   Cox, Log-Normal    FALSE #> 3154   198 0.9822719 0.160214536  fv      Gamma   Cox, Log-Normal    FALSE #> 3170   199 0.7665154 0.178048907  fv      Gamma   Cox, Log-Normal    FALSE #> 3186   200 1.0827449 0.216626911  fv      Gamma   Cox, Log-Normal    FALSE #> 3202   201 1.0550061 0.243012425  fv      Gamma   Cox, Log-Normal    FALSE #> 3218   202 1.0972858 0.215662323  fv      Gamma   Cox, Log-Normal    FALSE #> 3234   203 0.9855765 0.182481322  fv      Gamma   Cox, Log-Normal    FALSE #> 3250   204 1.0561904 0.348906497  fv      Gamma   Cox, Log-Normal    FALSE #> 3266   205 0.7564109 0.205512464  fv      Gamma   Cox, Log-Normal    FALSE #> 3282   206 1.0125371 0.222694936  fv      Gamma   Cox, Log-Normal    FALSE #> 3298   207 0.6826566 0.147213825  fv      Gamma   Cox, Log-Normal    FALSE #> 3314   208 0.9760813 0.224712745  fv      Gamma   Cox, Log-Normal    FALSE #> 3330   209 0.9269613 0.220844066  fv      Gamma   Cox, Log-Normal    FALSE #> 3346   210 0.9133674 0.231763968  fv      Gamma   Cox, Log-Normal    FALSE #> 3362   211 1.4904914 0.390725669  fv      Gamma   Cox, Log-Normal     TRUE #> 3378   212 0.9920371 0.255836508  fv      Gamma   Cox, Log-Normal    FALSE #> 3394   213 1.1118333 0.294714345  fv      Gamma   Cox, Log-Normal    FALSE #> 3410   214 1.0039471 0.304092232  fv      Gamma   Cox, Log-Normal    FALSE #> 3426   215 1.1241297 0.264189786  fv      Gamma   Cox, Log-Normal    FALSE #> 3442   216 1.2582014 0.301083523  fv      Gamma   Cox, Log-Normal    FALSE #> 3458   217 0.8366225 0.210156062  fv      Gamma   Cox, Log-Normal    FALSE #> 3474   218 0.8448105 0.236493852  fv      Gamma   Cox, Log-Normal    FALSE #> 3490   219 1.2107113 0.347155926  fv      Gamma   Cox, Log-Normal    FALSE #> 3506   220 0.7158888 0.136382455  fv      Gamma   Cox, Log-Normal    FALSE #> 3522   221 0.9339555 0.266680492  fv      Gamma   Cox, Log-Normal    FALSE #> 3538   222 1.1192118 0.312072336  fv      Gamma   Cox, Log-Normal    FALSE #> 3554   223 1.0452753 0.280574246  fv      Gamma   Cox, Log-Normal    FALSE #> 3570   224 1.0115289 0.233439970  fv      Gamma   Cox, Log-Normal    FALSE #> 3586   225 0.8032168 0.161726631  fv      Gamma   Cox, Log-Normal    FALSE #> 3602   226 1.3087768 0.413967329  fv      Gamma   Cox, Log-Normal     TRUE #> 3618   227 0.8661987 0.237439745  fv      Gamma   Cox, Log-Normal    FALSE #> 3634   228 1.1166755 0.216930095  fv      Gamma   Cox, Log-Normal    FALSE #> 3650   229 1.1105627 0.275511999  fv      Gamma   Cox, Log-Normal    FALSE #> 3666   230 0.8823663 0.147648628  fv      Gamma   Cox, Log-Normal    FALSE #> 3682   231 1.1464490 0.264342378  fv      Gamma   Cox, Log-Normal    FALSE #> 3698   232 1.0282286 0.294509349  fv      Gamma   Cox, Log-Normal    FALSE #> 3714   233 1.1858851 0.308748988  fv      Gamma   Cox, Log-Normal    FALSE #> 3730   234 0.9141730 0.234737862  fv      Gamma   Cox, Log-Normal    FALSE #> 3746   235 1.1254600 0.356891640  fv      Gamma   Cox, Log-Normal    FALSE #> 3762   236 0.6441731 0.174629945  fv      Gamma   Cox, Log-Normal    FALSE #> 3778   237 0.8396326 0.205428196  fv      Gamma   Cox, Log-Normal    FALSE #> 3794   238 0.8108753 0.210967352  fv      Gamma   Cox, Log-Normal    FALSE #> 3810   239 0.9353923 0.175452236  fv      Gamma   Cox, Log-Normal    FALSE #> 3826   240 1.1534031 0.316909074  fv      Gamma   Cox, Log-Normal    FALSE #> 3842   241 0.8525632 0.153161651  fv      Gamma   Cox, Log-Normal    FALSE #> 3858   242 0.6325823 0.110859718  fv      Gamma   Cox, Log-Normal    FALSE #> 3874   243 1.3438274 0.504696267  fv      Gamma   Cox, Log-Normal     TRUE #> 3890   244 0.6847331 0.117664089  fv      Gamma   Cox, Log-Normal    FALSE #> 3906   245 1.5084013 0.416220066  fv      Gamma   Cox, Log-Normal     TRUE #> 3922   246 0.8600815 0.160092148  fv      Gamma   Cox, Log-Normal    FALSE #> 3938   247 1.0459691 0.247888885  fv      Gamma   Cox, Log-Normal    FALSE #> 3954   248 1.3774923 0.295724239  fv      Gamma   Cox, Log-Normal    FALSE #> 3970   249 1.4544026 0.401018407  fv      Gamma   Cox, Log-Normal     TRUE #> 3986   250 0.9930866 0.252367133  fv      Gamma   Cox, Log-Normal    FALSE #> 4002   251 1.0750961 0.286717462  fv      Gamma   Cox, Log-Normal    FALSE #> 4018   252 1.1463194 0.342407069  fv      Gamma   Cox, Log-Normal    FALSE #> 4034   253 1.2383183 0.401788395  fv      Gamma   Cox, Log-Normal     TRUE #> 4050   254 0.6184252 0.098351797  fv      Gamma   Cox, Log-Normal    FALSE #> 4066   255 0.9288740 0.135923481  fv      Gamma   Cox, Log-Normal    FALSE #> 4082   256 0.9116082 0.198199738  fv      Gamma   Cox, Log-Normal    FALSE #> 4098   257 0.6749869 0.129906431  fv      Gamma   Cox, Log-Normal    FALSE #> 4114   258 1.0142908 0.337359222  fv      Gamma   Cox, Log-Normal    FALSE #> 4130   259 0.9440221 0.210134843  fv      Gamma   Cox, Log-Normal    FALSE #> 4146   260 1.1202138 0.249898993  fv      Gamma   Cox, Log-Normal    FALSE #> 4162   261 0.5960250 0.118672454  fv      Gamma   Cox, Log-Normal    FALSE #> 4178   262 0.8366969 0.176398436  fv      Gamma   Cox, Log-Normal    FALSE #> 4194   263 0.7871702 0.205713317  fv      Gamma   Cox, Log-Normal    FALSE #> 4210   264 0.6057126 0.113149327  fv      Gamma   Cox, Log-Normal    FALSE #> 4226   265 0.7758375 0.147043597  fv      Gamma   Cox, Log-Normal    FALSE #> 4242   266 0.8500845 0.224891518  fv      Gamma   Cox, Log-Normal    FALSE #> 4258   267 0.9199981 0.195893000  fv      Gamma   Cox, Log-Normal    FALSE #> 4274   268 0.9880338 0.209263821  fv      Gamma   Cox, Log-Normal    FALSE #> 4290   269 1.6572488 0.438643117  fv      Gamma   Cox, Log-Normal     TRUE #> 4306   270 1.2169293 0.315454041  fv      Gamma   Cox, Log-Normal    FALSE #> 4322   271 1.2092937 0.306710304  fv      Gamma   Cox, Log-Normal    FALSE #> 4338   272 0.7054006 0.192228252  fv      Gamma   Cox, Log-Normal    FALSE #> 4354   273 0.8125655 0.154642396  fv      Gamma   Cox, Log-Normal    FALSE #> 4370   274 0.9034828 0.186117871  fv      Gamma   Cox, Log-Normal    FALSE #> 4386   275 1.1334718 0.225436721  fv      Gamma   Cox, Log-Normal    FALSE #> 4402   276 1.0808167 0.354131546  fv      Gamma   Cox, Log-Normal    FALSE #> 4418   277 0.8663479 0.141176671  fv      Gamma   Cox, Log-Normal    FALSE #> 4434   278 1.0154270 0.195194389  fv      Gamma   Cox, Log-Normal    FALSE #> 4450   279 0.9972416 0.246791708  fv      Gamma   Cox, Log-Normal    FALSE #> 4466   280 0.9485671 0.192665901  fv      Gamma   Cox, Log-Normal    FALSE #> 4482   281 1.5419471 0.432963938  fv      Gamma   Cox, Log-Normal     TRUE #> 4498   282 0.7366272 0.154485998  fv      Gamma   Cox, Log-Normal    FALSE #> 4514   283 1.1387523 0.351311035  fv      Gamma   Cox, Log-Normal    FALSE #> 4530   284 0.7606273 0.130651621  fv      Gamma   Cox, Log-Normal    FALSE #> 4546   285 0.5940809 0.114410663  fv      Gamma   Cox, Log-Normal    FALSE #> 4562   286 0.9980889 0.165993278  fv      Gamma   Cox, Log-Normal    FALSE #> 4578   287 0.7786292 0.173527925  fv      Gamma   Cox, Log-Normal    FALSE #> 4594   288 1.8012469 0.384382846  fv      Gamma   Cox, Log-Normal     TRUE #> 4610   289 0.8352625 0.230080256  fv      Gamma   Cox, Log-Normal    FALSE #> 4626   290 0.7462650 0.161150218  fv      Gamma   Cox, Log-Normal    FALSE #> 4642   291 0.7581738 0.185194416  fv      Gamma   Cox, Log-Normal    FALSE #> 4658   292 0.7315072 0.136632050  fv      Gamma   Cox, Log-Normal    FALSE #> 4674   293 1.1794738 0.263230250  fv      Gamma   Cox, Log-Normal    FALSE #> 4690   294 0.8364797 0.177888851  fv      Gamma   Cox, Log-Normal    FALSE #> 4706   295 1.5702252 0.363660287  fv      Gamma   Cox, Log-Normal     TRUE #> 4722   296 1.0030032 0.212419723  fv      Gamma   Cox, Log-Normal    FALSE #> 4738   297 1.7048282 0.324692247  fv      Gamma   Cox, Log-Normal     TRUE #> 4754   298 0.6792576 0.124013511  fv      Gamma   Cox, Log-Normal    FALSE #> 4770   299 0.7179893 0.156934076  fv      Gamma   Cox, Log-Normal    FALSE #> 4786   300 1.1245685 0.198322193  fv      Gamma   Cox, Log-Normal    FALSE #> 4802   301 0.6708749 0.171248942  fv      Gamma   Cox, Log-Normal    FALSE #> 4818   302 1.0425587 0.181386611  fv      Gamma   Cox, Log-Normal    FALSE #> 4834   303 0.7687011 0.144588971  fv      Gamma   Cox, Log-Normal    FALSE #> 4850   304 0.8183131 0.180688666  fv      Gamma   Cox, Log-Normal    FALSE #> 4866   305 1.1994373 0.254185287  fv      Gamma   Cox, Log-Normal    FALSE #> 4882   306 0.9480399 0.206670969  fv      Gamma   Cox, Log-Normal    FALSE #> 4898   307 1.0547876 0.317754660  fv      Gamma   Cox, Log-Normal    FALSE #> 4914   308 0.8707234 0.206289074  fv      Gamma   Cox, Log-Normal    FALSE #> 4930   309 1.0009221 0.187321610  fv      Gamma   Cox, Log-Normal    FALSE #> 4946   310 1.5183534 0.350397464  fv      Gamma   Cox, Log-Normal     TRUE #> 4962   311 1.2122527 0.296579713  fv      Gamma   Cox, Log-Normal    FALSE #> 4978   312 1.8443405 0.479858067  fv      Gamma   Cox, Log-Normal     TRUE #> 4994   313 1.1266272 0.250518734  fv      Gamma   Cox, Log-Normal    FALSE #> 5010   314 0.9134451 0.223254762  fv      Gamma   Cox, Log-Normal    FALSE #> 5026   315 1.0694137 0.206784794  fv      Gamma   Cox, Log-Normal    FALSE #> 5042   316 1.5557750 0.331763485  fv      Gamma   Cox, Log-Normal     TRUE #> 5058   317 0.7900325 0.184343319  fv      Gamma   Cox, Log-Normal    FALSE #> 5074   318 0.9676750 0.285161091  fv      Gamma   Cox, Log-Normal    FALSE #> 5090   319 0.7534842 0.186475417  fv      Gamma   Cox, Log-Normal    FALSE #> 5106   320 0.7587523 0.158245032  fv      Gamma   Cox, Log-Normal    FALSE #> 5122   321 1.3296280 0.289607929  fv      Gamma   Cox, Log-Normal    FALSE #> 5138   322 0.6540554 0.153362582  fv      Gamma   Cox, Log-Normal    FALSE #> 5154   323 1.1866786 0.246796331  fv      Gamma   Cox, Log-Normal    FALSE #> 5170   324 0.7879666 0.235532790  fv      Gamma   Cox, Log-Normal    FALSE #> 5186   325 0.9063958 0.177813514  fv      Gamma   Cox, Log-Normal    FALSE #> 5202   326 0.8994038 0.180708837  fv      Gamma   Cox, Log-Normal    FALSE #> 5218   327 0.9343756 0.199207745  fv      Gamma   Cox, Log-Normal    FALSE #> 5234   328 1.4427292 0.367840271  fv      Gamma   Cox, Log-Normal    FALSE #> 5250   329 1.2314166 0.320033252  fv      Gamma   Cox, Log-Normal    FALSE #> 5266   330 0.9467010 0.225445798  fv      Gamma   Cox, Log-Normal    FALSE #> 5282   331 1.1330281 0.231943006  fv      Gamma   Cox, Log-Normal    FALSE #> 5298   332 0.7331899 0.197574585  fv      Gamma   Cox, Log-Normal    FALSE #> 5314   333 0.6844227 0.140883756  fv      Gamma   Cox, Log-Normal    FALSE #> 5330   334 1.3781416 0.249637577  fv      Gamma   Cox, Log-Normal    FALSE #> 5346   335 1.0702186 0.271371029  fv      Gamma   Cox, Log-Normal    FALSE #> 5362   336 0.6209932 0.164255992  fv      Gamma   Cox, Log-Normal    FALSE #> 5378   337 0.8421416 0.206148684  fv      Gamma   Cox, Log-Normal    FALSE #> 5394   338 0.7236815 0.112024580  fv      Gamma   Cox, Log-Normal    FALSE #> 5410   339 1.0388795 0.295391600  fv      Gamma   Cox, Log-Normal    FALSE #> 5426   340 1.1095304 0.403572705  fv      Gamma   Cox, Log-Normal     TRUE #> 5442   341 0.6719273 0.137761634  fv      Gamma   Cox, Log-Normal    FALSE #> 5458   342 0.5332889 0.101209542  fv      Gamma   Cox, Log-Normal    FALSE #> 5474   343 0.7748324 0.181756300  fv      Gamma   Cox, Log-Normal    FALSE #> 5490   344 1.3667207 0.352452784  fv      Gamma   Cox, Log-Normal    FALSE #> 5506   345 1.1973392 0.238025218  fv      Gamma   Cox, Log-Normal    FALSE #> 5522   346 1.0638629 0.203973708  fv      Gamma   Cox, Log-Normal    FALSE #> 5538   347 0.9372712 0.157409347  fv      Gamma   Cox, Log-Normal    FALSE #> 5554   348 1.4096446 0.303746493  fv      Gamma   Cox, Log-Normal    FALSE #> 5570   349 1.1515909 0.267338558  fv      Gamma   Cox, Log-Normal    FALSE #> 5586   350 1.0566777 0.204651400  fv      Gamma   Cox, Log-Normal    FALSE #> 5602   351 1.2270499 0.365187960  fv      Gamma   Cox, Log-Normal    FALSE #> 5618   352 1.1384745 0.320730548  fv      Gamma   Cox, Log-Normal    FALSE #> 5634   353 0.6761084 0.151468116  fv      Gamma   Cox, Log-Normal    FALSE #> 5650   354 0.9381758 0.195546224  fv      Gamma   Cox, Log-Normal    FALSE #> 5666   355 1.1119338 0.223665047  fv      Gamma   Cox, Log-Normal    FALSE #> 5682   356 1.0905507 0.292129252  fv      Gamma   Cox, Log-Normal    FALSE #> 5698   357 0.8452529 0.184177665  fv      Gamma   Cox, Log-Normal    FALSE #> 5714   358 0.8066733 0.115900961  fv      Gamma   Cox, Log-Normal    FALSE #> 5730   359 0.8677696 0.265080079  fv      Gamma   Cox, Log-Normal    FALSE #> 5746   360 0.7287289 0.131955369  fv      Gamma   Cox, Log-Normal    FALSE #> 5762   361 1.3008883 0.360862820  fv      Gamma   Cox, Log-Normal    FALSE #> 5778   362 0.5904270 0.130278388  fv      Gamma   Cox, Log-Normal    FALSE #> 5794   363 0.9529346 0.266922925  fv      Gamma   Cox, Log-Normal    FALSE #> 5810   364 0.6480905 0.167160297  fv      Gamma   Cox, Log-Normal    FALSE #> 5826   365 0.9971018 0.330971308  fv      Gamma   Cox, Log-Normal    FALSE #> 5842   366 1.1939180 0.294834729  fv      Gamma   Cox, Log-Normal    FALSE #> 5858   367 1.1703409 0.220120120  fv      Gamma   Cox, Log-Normal    FALSE #> 5874   368 1.1791884 0.429781697  fv      Gamma   Cox, Log-Normal     TRUE #> 5890   369 0.6704603 0.124258362  fv      Gamma   Cox, Log-Normal    FALSE #> 5906   370 0.6437177 0.144677882  fv      Gamma   Cox, Log-Normal    FALSE #> 5922   371 1.0793130 0.276618474  fv      Gamma   Cox, Log-Normal    FALSE #> 5938   372 0.7821637 0.249248520  fv      Gamma   Cox, Log-Normal    FALSE #> 5954   373 0.9198681 0.214796254  fv      Gamma   Cox, Log-Normal    FALSE #> 5970   374 0.7206397 0.140563196  fv      Gamma   Cox, Log-Normal    FALSE #> 5986   375 0.7455317 0.156345249  fv      Gamma   Cox, Log-Normal    FALSE #> 6002   376 0.7820201 0.164687256  fv      Gamma   Cox, Log-Normal    FALSE #> 6018   377 1.2011353 0.333770351  fv      Gamma   Cox, Log-Normal    FALSE #> 6034   378 1.0732917 0.230685922  fv      Gamma   Cox, Log-Normal    FALSE #> 6050   379 0.7956228 0.135068436  fv      Gamma   Cox, Log-Normal    FALSE #> 6066   380 0.9821977 0.202408585  fv      Gamma   Cox, Log-Normal    FALSE #> 6082   381 0.7109656 0.149643496  fv      Gamma   Cox, Log-Normal    FALSE #> 6098   382 0.9332571 0.225055001  fv      Gamma   Cox, Log-Normal    FALSE #> 6114   383 1.4525060 0.252050709  fv      Gamma   Cox, Log-Normal    FALSE #> 6130   384 1.1156376 0.225314386  fv      Gamma   Cox, Log-Normal    FALSE #> 6146   385 0.6937414 0.130805747  fv      Gamma   Cox, Log-Normal    FALSE #> 6162   386 0.4539095 0.143952602  fv      Gamma   Cox, Log-Normal     TRUE #> 6178   387 0.6909378 0.131527306  fv      Gamma   Cox, Log-Normal    FALSE #> 6194   388 0.8732335 0.176442179  fv      Gamma   Cox, Log-Normal    FALSE #> 6210   389 0.6361769 0.145037919  fv      Gamma   Cox, Log-Normal    FALSE #> 6226   390 0.7550553 0.176928641  fv      Gamma   Cox, Log-Normal    FALSE #> 6242   391 0.6148799 0.135829174  fv      Gamma   Cox, Log-Normal    FALSE #> 6258   392 1.1216041 0.230266849  fv      Gamma   Cox, Log-Normal    FALSE #> 6274   393 0.6766989 0.155586331  fv      Gamma   Cox, Log-Normal    FALSE #> 6290   394 1.2809946 0.303295151  fv      Gamma   Cox, Log-Normal    FALSE #> 6306   395 0.9574912 0.257132721  fv      Gamma   Cox, Log-Normal    FALSE #> 6322   396 0.9517729 0.286349874  fv      Gamma   Cox, Log-Normal    FALSE #> 6338   397 1.1124126 0.212177754  fv      Gamma   Cox, Log-Normal    FALSE #> 6354   398 0.9331498 0.195380303  fv      Gamma   Cox, Log-Normal    FALSE #> 6370   399 0.7590104 0.183901117  fv      Gamma   Cox, Log-Normal    FALSE #> 6386   400 0.8141348 0.209282394  fv      Gamma   Cox, Log-Normal    FALSE #> 6402   401 1.1725501 0.302794794  fv      Gamma   Cox, Log-Normal    FALSE #> 6418   402 0.8902602 0.257412268  fv      Gamma   Cox, Log-Normal    FALSE #> 6434   403 0.8519330 0.172126937  fv      Gamma   Cox, Log-Normal    FALSE #> 6450   404 1.0476725 0.336457821  fv      Gamma   Cox, Log-Normal    FALSE #> 6466   405 0.7691769 0.130780437  fv      Gamma   Cox, Log-Normal    FALSE #> 6482   406 0.7361662 0.138962491  fv      Gamma   Cox, Log-Normal    FALSE #> 6498   407 1.0450332 0.255588768  fv      Gamma   Cox, Log-Normal    FALSE #> 6514   408 0.6282204 0.263436321  fv      Gamma   Cox, Log-Normal    FALSE #> 6530   409 1.2675705 0.255827563  fv      Gamma   Cox, Log-Normal    FALSE #> 6546   410 1.4027855 0.405498694  fv      Gamma   Cox, Log-Normal     TRUE #> 6562   411 1.0909367 0.364351515  fv      Gamma   Cox, Log-Normal    FALSE #> 6578   412 0.8247547 0.147850429  fv      Gamma   Cox, Log-Normal    FALSE #> 6594   413 0.9001954 0.207926748  fv      Gamma   Cox, Log-Normal    FALSE #> 6610   414 0.8922666 0.205074388  fv      Gamma   Cox, Log-Normal    FALSE #> 6626   415 1.1201345 0.235581947  fv      Gamma   Cox, Log-Normal    FALSE #> 6642   416 0.7256155 0.151266912  fv      Gamma   Cox, Log-Normal    FALSE #> 6658   417 0.9635329 0.165467319  fv      Gamma   Cox, Log-Normal    FALSE #> 6674   418 0.9579341 0.221398430  fv      Gamma   Cox, Log-Normal    FALSE #> 6690   419 0.8134821 0.226987586  fv      Gamma   Cox, Log-Normal    FALSE #> 6706   420 1.1122495 0.304778954  fv      Gamma   Cox, Log-Normal    FALSE #> 6722   421 1.0634088 0.195189997  fv      Gamma   Cox, Log-Normal    FALSE #> 6738   422 0.9576175 0.239546727  fv      Gamma   Cox, Log-Normal    FALSE #> 6754   423 1.0594321 0.228721736  fv      Gamma   Cox, Log-Normal    FALSE #> 6770   424 0.9597868 0.276897329  fv      Gamma   Cox, Log-Normal    FALSE #> 6786   425 0.7315512 0.180004030  fv      Gamma   Cox, Log-Normal    FALSE #> 6802   426 1.2737580 0.295162754  fv      Gamma   Cox, Log-Normal    FALSE #> 6818   427 0.5082034 0.138832393  fv      Gamma   Cox, Log-Normal    FALSE #> 6834   428 1.4427275 0.408389941  fv      Gamma   Cox, Log-Normal     TRUE #> 6850   429 0.7931159 0.177763555  fv      Gamma   Cox, Log-Normal    FALSE #> 6866   430 0.6869118 0.109383857  fv      Gamma   Cox, Log-Normal    FALSE #> 6882   431 1.0984440 0.245113401  fv      Gamma   Cox, Log-Normal    FALSE #> 6898   432 0.6733838 0.147400668  fv      Gamma   Cox, Log-Normal    FALSE #> 6914   433 1.1186541 0.329798430  fv      Gamma   Cox, Log-Normal    FALSE #> 6930   434 1.2398972 0.222930487  fv      Gamma   Cox, Log-Normal    FALSE #> 6946   435 0.8050301 0.140179777  fv      Gamma   Cox, Log-Normal    FALSE #> 6962   436 1.2438138 0.307965337  fv      Gamma   Cox, Log-Normal    FALSE #> 6978   437 0.8224460 0.126221473  fv      Gamma   Cox, Log-Normal    FALSE #> 6994   438 0.6359268 0.189779025  fv      Gamma   Cox, Log-Normal    FALSE #> 7010   439 0.9316025 0.286812594  fv      Gamma   Cox, Log-Normal    FALSE #> 7026   440 0.8116677 0.150546885  fv      Gamma   Cox, Log-Normal    FALSE #> 7042   441 0.4957894 0.090606260  fv      Gamma   Cox, Log-Normal     TRUE #> 7058   442 0.9920610 0.183115913  fv      Gamma   Cox, Log-Normal    FALSE #> 7074   443 0.6649345 0.222904431  fv      Gamma   Cox, Log-Normal    FALSE #> 7090   444 0.8035197 0.183494932  fv      Gamma   Cox, Log-Normal    FALSE #> 7106   445 1.2090738 0.358004906  fv      Gamma   Cox, Log-Normal    FALSE #> 7122   446 1.0087995 0.220975718  fv      Gamma   Cox, Log-Normal    FALSE #> 7138   447 0.9565913 0.200822801  fv      Gamma   Cox, Log-Normal    FALSE #> 7154   448 1.0441738 0.260365565  fv      Gamma   Cox, Log-Normal    FALSE #> 7170   449 1.1615839 0.216975618  fv      Gamma   Cox, Log-Normal    FALSE #> 7186   450 0.7740953 0.140879888  fv      Gamma   Cox, Log-Normal    FALSE #> 7202   451 1.0692578 0.222198213  fv      Gamma   Cox, Log-Normal    FALSE #> 7218   452 0.6524954 0.123359523  fv      Gamma   Cox, Log-Normal    FALSE #> 7234   453 1.0336945 0.199674407  fv      Gamma   Cox, Log-Normal    FALSE #> 7250   454 0.8403049 0.274222788  fv      Gamma   Cox, Log-Normal    FALSE #> 7266   455 1.0557566 0.225824987  fv      Gamma   Cox, Log-Normal    FALSE #> 7282   456 1.0962428 0.243979297  fv      Gamma   Cox, Log-Normal    FALSE #> 7298   457 1.1029915 0.213750191  fv      Gamma   Cox, Log-Normal    FALSE #> 7314   458 1.2720893 0.351284624  fv      Gamma   Cox, Log-Normal    FALSE #> 7330   459 0.8717904 0.217191101  fv      Gamma   Cox, Log-Normal    FALSE #> 7346   460 0.8326436 0.222186414  fv      Gamma   Cox, Log-Normal    FALSE #> 7362   461 1.0365468 0.264064386  fv      Gamma   Cox, Log-Normal    FALSE #> 7378   462 1.3924264 0.387524188  fv      Gamma   Cox, Log-Normal    FALSE #> 7394   463 0.7356121 0.119417840  fv      Gamma   Cox, Log-Normal    FALSE #> 7410   464 0.6727029 0.179079073  fv      Gamma   Cox, Log-Normal    FALSE #> 7426   465 0.9358999 0.191441499  fv      Gamma   Cox, Log-Normal    FALSE #> 7442   466 1.0797508 0.320286330  fv      Gamma   Cox, Log-Normal    FALSE #> 7458   467 1.2546135 0.331880843  fv      Gamma   Cox, Log-Normal    FALSE #> 7474   468 0.6594459 0.127506910  fv      Gamma   Cox, Log-Normal    FALSE #> 7490   469 1.0773071 0.306539717  fv      Gamma   Cox, Log-Normal    FALSE #> 7506   470 0.9831728 0.182063344  fv      Gamma   Cox, Log-Normal    FALSE #> 7522   471 0.7441140 0.128457720  fv      Gamma   Cox, Log-Normal    FALSE #> 7538   472 1.1705633 0.275046221  fv      Gamma   Cox, Log-Normal    FALSE #> 7554   473 0.7944060 0.160426950  fv      Gamma   Cox, Log-Normal    FALSE #> 7570   474 0.7893312 0.236801144  fv      Gamma   Cox, Log-Normal    FALSE #> 7586   475 1.6420040 0.472204521  fv      Gamma   Cox, Log-Normal     TRUE #> 7602   476 0.6907611 0.179152271  fv      Gamma   Cox, Log-Normal    FALSE #> 7618   477 1.2306596 0.240740348  fv      Gamma   Cox, Log-Normal    FALSE #> 7634   478 0.9703432 0.280043037  fv      Gamma   Cox, Log-Normal    FALSE #> 7650   479 1.2556369 0.278832138  fv      Gamma   Cox, Log-Normal    FALSE #> 7666   480 1.0316289 0.262194195  fv      Gamma   Cox, Log-Normal    FALSE #> 7682   481 0.9069980 0.240001733  fv      Gamma   Cox, Log-Normal    FALSE #> 7698   482 0.8651847 0.324883873  fv      Gamma   Cox, Log-Normal    FALSE #> 7714   483 0.9195134 0.324966495  fv      Gamma   Cox, Log-Normal    FALSE #> 7730   484 0.9354766 0.158821908  fv      Gamma   Cox, Log-Normal    FALSE #> 7746   485 1.0036369 0.235477830  fv      Gamma   Cox, Log-Normal    FALSE #> 7762   486 0.7230942 0.191080579  fv      Gamma   Cox, Log-Normal    FALSE #> 7778   487 1.0953227 0.216107707  fv      Gamma   Cox, Log-Normal    FALSE #> 7794   488 0.9509228 0.341422686  fv      Gamma   Cox, Log-Normal    FALSE #> 7810   489 1.2438654 0.335909184  fv      Gamma   Cox, Log-Normal    FALSE #> 7826   490 1.6108304 0.304536731  fv      Gamma   Cox, Log-Normal     TRUE #> 7842   491 0.8306550 0.168517444  fv      Gamma   Cox, Log-Normal    FALSE #> 7858   492 1.2528581 0.347548040  fv      Gamma   Cox, Log-Normal    FALSE #> 7874   493 1.1141412 0.417141114  fv      Gamma   Cox, Log-Normal     TRUE #> 7890   494 0.8588516 0.179209258  fv      Gamma   Cox, Log-Normal    FALSE #> 7906   495 0.9641937 0.220531498  fv      Gamma   Cox, Log-Normal    FALSE #> 7922   496 0.6759623 0.166289250  fv      Gamma   Cox, Log-Normal    FALSE #> 7938   497 0.9033618 0.200323244  fv      Gamma   Cox, Log-Normal    FALSE #> 7954   498 0.8062435 0.190505432  fv      Gamma   Cox, Log-Normal    FALSE #> 7970   499 1.0779911 0.255751410  fv      Gamma   Cox, Log-Normal    FALSE #> 7986   500 1.2670375 0.297555986  fv      Gamma   Cox, Log-Normal    FALSE #> 8002   501 0.8648506 0.180810911  fv      Gamma   Cox, Log-Normal    FALSE #> 8018   502 1.0364983 0.208051259  fv      Gamma   Cox, Log-Normal    FALSE #> 8034   503 0.7537958 0.149464952  fv      Gamma   Cox, Log-Normal    FALSE #> 8050   504 1.2053252 0.210116068  fv      Gamma   Cox, Log-Normal    FALSE #> 8066   505 1.4316809 0.361150122  fv      Gamma   Cox, Log-Normal    FALSE #> 8082   506 0.8599211 0.164904216  fv      Gamma   Cox, Log-Normal    FALSE #> 8098   507 0.6803896 0.132319900  fv      Gamma   Cox, Log-Normal    FALSE #> 8114   508 0.8321579 0.174584707  fv      Gamma   Cox, Log-Normal    FALSE #> 8130   509 0.8577265 0.171261565  fv      Gamma   Cox, Log-Normal    FALSE #> 8146   510 1.0840758 0.191525801  fv      Gamma   Cox, Log-Normal    FALSE #> 8162   511 0.9751571 0.228962046  fv      Gamma   Cox, Log-Normal    FALSE #> 8178   512 0.9171955 0.141575466  fv      Gamma   Cox, Log-Normal    FALSE #> 8194   513 0.7704456 0.179734941  fv      Gamma   Cox, Log-Normal    FALSE #> 8210   514 0.9767960 0.270516974  fv      Gamma   Cox, Log-Normal    FALSE #> 8226   515 0.8482220 0.193164393  fv      Gamma   Cox, Log-Normal    FALSE #> 8242   516 1.0376892 0.256220330  fv      Gamma   Cox, Log-Normal    FALSE #> 8258   517 1.1357326 0.273350115  fv      Gamma   Cox, Log-Normal    FALSE #> 8274   518 1.2253076 0.238917068  fv      Gamma   Cox, Log-Normal    FALSE #> 8290   519 0.8713882 0.184042855  fv      Gamma   Cox, Log-Normal    FALSE #> 8306   520 0.7926449 0.167454593  fv      Gamma   Cox, Log-Normal    FALSE #> 8322   521 0.7127690 0.140016713  fv      Gamma   Cox, Log-Normal    FALSE #> 8338   522 0.6570335 0.147981785  fv      Gamma   Cox, Log-Normal    FALSE #> 8354   523 0.9035491 0.240796228  fv      Gamma   Cox, Log-Normal    FALSE #> 8370   524 0.7910639 0.197298251  fv      Gamma   Cox, Log-Normal    FALSE #> 8386   525 1.3295251 0.263165691  fv      Gamma   Cox, Log-Normal    FALSE #> 8402   526 1.1085831 0.260362630  fv      Gamma   Cox, Log-Normal    FALSE #> 8418   527 0.9930652 0.328052452  fv      Gamma   Cox, Log-Normal    FALSE #> 8434   528 0.7418328 0.169881227  fv      Gamma   Cox, Log-Normal    FALSE #> 8450   529 1.2037156 0.256995886  fv      Gamma   Cox, Log-Normal    FALSE #> 8466   530 1.3353275 0.308725331  fv      Gamma   Cox, Log-Normal    FALSE #> 8482   531 1.0724559 0.185489763  fv      Gamma   Cox, Log-Normal    FALSE #> 8498   532 1.1767181 0.288783024  fv      Gamma   Cox, Log-Normal    FALSE #> 8514   533 0.9461511 0.224624441  fv      Gamma   Cox, Log-Normal    FALSE #> 8530   534 1.0525213 0.206749296  fv      Gamma   Cox, Log-Normal    FALSE #> 8546   535 1.4301389 0.327696069  fv      Gamma   Cox, Log-Normal    FALSE #> 8562   536 1.0021084 0.171694724  fv      Gamma   Cox, Log-Normal    FALSE #> 8578   537 0.9908633 0.334784893  fv      Gamma   Cox, Log-Normal    FALSE #> 8594   538 0.7459350 0.166232904  fv      Gamma   Cox, Log-Normal    FALSE #> 8610   539 1.1963909 0.302554905  fv      Gamma   Cox, Log-Normal    FALSE #> 8626   540 1.0600937 0.334538983  fv      Gamma   Cox, Log-Normal    FALSE #> 8642   541 0.7824209 0.191635059  fv      Gamma   Cox, Log-Normal    FALSE #> 8658   542 1.0469726 0.186010712  fv      Gamma   Cox, Log-Normal    FALSE #> 8674   543 1.1353147 0.200048549  fv      Gamma   Cox, Log-Normal    FALSE #> 8690   544 1.0727346 0.223928441  fv      Gamma   Cox, Log-Normal    FALSE #> 8706   545 0.9542188 0.258825073  fv      Gamma   Cox, Log-Normal    FALSE #> 8722   546 0.7626356 0.145367051  fv      Gamma   Cox, Log-Normal    FALSE #> 8738   547 0.7998809 0.146606750  fv      Gamma   Cox, Log-Normal    FALSE #> 8754   548 0.8468470 0.311423205  fv      Gamma   Cox, Log-Normal    FALSE #> 8770   549 1.0343320 0.291774386  fv      Gamma   Cox, Log-Normal    FALSE #> 8786   550 1.3436451 0.531137533  fv      Gamma   Cox, Log-Normal     TRUE #> 8802   551 0.9109458 0.190163812  fv      Gamma   Cox, Log-Normal    FALSE #> 8818   552 0.7473400 0.168944580  fv      Gamma   Cox, Log-Normal    FALSE #> 8834   553 0.7435618 0.152999604  fv      Gamma   Cox, Log-Normal    FALSE #> 8850   554 0.9450358 0.248564971  fv      Gamma   Cox, Log-Normal    FALSE #> 8866   555 0.6737041 0.126162135  fv      Gamma   Cox, Log-Normal    FALSE #> 8882   556 0.6772282 0.151785951  fv      Gamma   Cox, Log-Normal    FALSE #> 8898   557 1.6904828 0.395312396  fv      Gamma   Cox, Log-Normal     TRUE #> 8914   558 1.0339234 0.212529669  fv      Gamma   Cox, Log-Normal    FALSE #> 8930   559 0.7993772 0.259858142  fv      Gamma   Cox, Log-Normal    FALSE #> 8946   560 0.9719681 0.242674636  fv      Gamma   Cox, Log-Normal    FALSE #> 8962   561 1.0261247 0.212406152  fv      Gamma   Cox, Log-Normal    FALSE #> 8978   562 0.5757420 0.150997039  fv      Gamma   Cox, Log-Normal    FALSE #> 8994   563 1.0409490 0.228433773  fv      Gamma   Cox, Log-Normal    FALSE #> 9010   564 1.0615467 0.193348628  fv      Gamma   Cox, Log-Normal    FALSE #> 9026   565 1.1679880 0.390837268  fv      Gamma   Cox, Log-Normal     TRUE #> 9042   566 1.2199602 0.278996060  fv      Gamma   Cox, Log-Normal    FALSE #> 9058   567 0.9822957 0.244996294  fv      Gamma   Cox, Log-Normal    FALSE #> 9074   568 1.0201589 0.280017514  fv      Gamma   Cox, Log-Normal    FALSE #> 9090   569 0.9406773 0.270807399  fv      Gamma   Cox, Log-Normal    FALSE #> 9106   570 0.9279776 0.161765327  fv      Gamma   Cox, Log-Normal    FALSE #> 9122   571 0.9326456 0.179721507  fv      Gamma   Cox, Log-Normal    FALSE #> 9138   572 1.1013126 0.198471955  fv      Gamma   Cox, Log-Normal    FALSE #> 9154   573 0.6222332 0.126446396  fv      Gamma   Cox, Log-Normal    FALSE #> 9170   574 1.1432237 0.294379732  fv      Gamma   Cox, Log-Normal    FALSE #> 9186   575 0.9600009 0.226550540  fv      Gamma   Cox, Log-Normal    FALSE #> 9202   576 1.0609559 0.287309234  fv      Gamma   Cox, Log-Normal    FALSE #> 9218   577 0.9115962 0.250289364  fv      Gamma   Cox, Log-Normal    FALSE #> 9234   578 0.9202321 0.181635402  fv      Gamma   Cox, Log-Normal    FALSE #> 9250   579 0.7970005 0.198574996  fv      Gamma   Cox, Log-Normal    FALSE #> 9266   580 0.8541770 0.199446336  fv      Gamma   Cox, Log-Normal    FALSE #> 9282   581 1.1327424 0.203938321  fv      Gamma   Cox, Log-Normal    FALSE #> 9298   582 0.5324844 0.110727241  fv      Gamma   Cox, Log-Normal    FALSE #> 9314   583 1.2170472 0.265887560  fv      Gamma   Cox, Log-Normal    FALSE #> 9330   584 0.7405038 0.190327265  fv      Gamma   Cox, Log-Normal    FALSE #> 9346   585 1.4674663 0.296880097  fv      Gamma   Cox, Log-Normal     TRUE #> 9362   586 1.3357663 0.233595693  fv      Gamma   Cox, Log-Normal    FALSE #> 9378   587 1.0434712 0.197298685  fv      Gamma   Cox, Log-Normal    FALSE #> 9394   588 1.0601227 0.260760641  fv      Gamma   Cox, Log-Normal    FALSE #> 9410   589 0.7426001 0.163007177  fv      Gamma   Cox, Log-Normal    FALSE #> 9426   590 0.8895731 0.197968824  fv      Gamma   Cox, Log-Normal    FALSE #> 9442   591 0.9799824 0.254028822  fv      Gamma   Cox, Log-Normal    FALSE #> 9458   592 1.2819594 0.227298189  fv      Gamma   Cox, Log-Normal    FALSE #> 9474   593 0.9126781 0.272510318  fv      Gamma   Cox, Log-Normal    FALSE #> 9490   594 0.9415930 0.242944719  fv      Gamma   Cox, Log-Normal    FALSE #> 9506   595 0.8669225 0.154822055  fv      Gamma   Cox, Log-Normal    FALSE #> 9522   596 1.2023114 0.234135962  fv      Gamma   Cox, Log-Normal    FALSE #> 9538   597 1.1852910 0.306402855  fv      Gamma   Cox, Log-Normal    FALSE #> 9554   598 1.0144108 0.236994186  fv      Gamma   Cox, Log-Normal    FALSE #> 9570   599 1.5141491 0.267682298  fv      Gamma   Cox, Log-Normal     TRUE #> 9586   600 1.3093034 0.231071705  fv      Gamma   Cox, Log-Normal    FALSE #> 9602   601 0.9685267 0.220530237  fv      Gamma   Cox, Log-Normal    FALSE #> 9618   602 0.9567572 0.270622698  fv      Gamma   Cox, Log-Normal    FALSE #> 9634   603 0.9007697 0.220945058  fv      Gamma   Cox, Log-Normal    FALSE #> 9650   604 1.2452340 0.442246635  fv      Gamma   Cox, Log-Normal     TRUE #> 9666   605 1.2222252 0.357745466  fv      Gamma   Cox, Log-Normal    FALSE #> 9682   606 1.0475542 0.230114466  fv      Gamma   Cox, Log-Normal    FALSE #> 9698   607 0.8173250 0.184012955  fv      Gamma   Cox, Log-Normal    FALSE #> 9714   608 1.0264445 0.211869827  fv      Gamma   Cox, Log-Normal    FALSE #> 9730   609 1.3393035 0.328197864  fv      Gamma   Cox, Log-Normal    FALSE #> 9746   610 1.1612145 0.269944445  fv      Gamma   Cox, Log-Normal    FALSE #> 9762   611 0.8716488 0.218240481  fv      Gamma   Cox, Log-Normal    FALSE #> 9778   612 1.2478780 0.254679202  fv      Gamma   Cox, Log-Normal    FALSE #> 9794   613 0.9089129 0.180981311  fv      Gamma   Cox, Log-Normal    FALSE #> 9810   614 0.8236289 0.176298875  fv      Gamma   Cox, Log-Normal    FALSE #> 9826   615 0.7781034 0.172342440  fv      Gamma   Cox, Log-Normal    FALSE #> 9842   616 1.3207941 0.299666982  fv      Gamma   Cox, Log-Normal    FALSE #> 9858   617 1.3523404 0.308465331  fv      Gamma   Cox, Log-Normal    FALSE #> 9874   618 0.7054131 0.154359305  fv      Gamma   Cox, Log-Normal    FALSE #> 9890   619 0.7621622 0.144288017  fv      Gamma   Cox, Log-Normal    FALSE #> 9906   620 0.9294349 0.245020462  fv      Gamma   Cox, Log-Normal    FALSE #> 9922   621 1.0852212 0.238577452  fv      Gamma   Cox, Log-Normal    FALSE #> 9938   622 1.6889800 0.375733753  fv      Gamma   Cox, Log-Normal     TRUE #> 9954   623 0.6497480 0.112506675  fv      Gamma   Cox, Log-Normal    FALSE #> 9970   624 0.9417119 0.185039732  fv      Gamma   Cox, Log-Normal    FALSE #> 9986   625 0.9615533 0.250108888  fv      Gamma   Cox, Log-Normal    FALSE #> 10002  626 0.6491316 0.143634254  fv      Gamma   Cox, Log-Normal    FALSE #> 10018  627 0.7991016 0.265477031  fv      Gamma   Cox, Log-Normal    FALSE #> 10034  628 0.9209861 0.166585647  fv      Gamma   Cox, Log-Normal    FALSE #> 10050  629 0.7470039 0.203007785  fv      Gamma   Cox, Log-Normal    FALSE #> 10066  630 1.0690011 0.196367163  fv      Gamma   Cox, Log-Normal    FALSE #> 10082  631 1.2764893 0.441219524  fv      Gamma   Cox, Log-Normal     TRUE #> 10098  632 0.6869833 0.163540177  fv      Gamma   Cox, Log-Normal    FALSE #> 10114  633 0.7001066 0.175297359  fv      Gamma   Cox, Log-Normal    FALSE #> 10130  634 0.7032764 0.156311954  fv      Gamma   Cox, Log-Normal    FALSE #> 10146  635 0.5491568 0.134395251  fv      Gamma   Cox, Log-Normal    FALSE #> 10162  636 0.8513401 0.270874157  fv      Gamma   Cox, Log-Normal    FALSE #> 10178  637 0.9566533 0.176784838  fv      Gamma   Cox, Log-Normal    FALSE #> 10194  638 0.7933296 0.280428246  fv      Gamma   Cox, Log-Normal    FALSE #> 10210  639 0.8824408 0.186779642  fv      Gamma   Cox, Log-Normal    FALSE #> 10226  640 0.6936361 0.161515249  fv      Gamma   Cox, Log-Normal    FALSE #> 10242  641 0.8355947 0.150330827  fv      Gamma   Cox, Log-Normal    FALSE #> 10258  642 0.9279600 0.209555469  fv      Gamma   Cox, Log-Normal    FALSE #> 10274  643 0.8074046 0.197113858  fv      Gamma   Cox, Log-Normal    FALSE #> 10290  644 1.3611674 0.423889750  fv      Gamma   Cox, Log-Normal     TRUE #> 10306  645 0.6554522 0.148982743  fv      Gamma   Cox, Log-Normal    FALSE #> 10322  646 0.7228923 0.181773449  fv      Gamma   Cox, Log-Normal    FALSE #> 10338  647 1.8011240 0.416701461  fv      Gamma   Cox, Log-Normal     TRUE #> 10354  648 0.9024813 0.147263424  fv      Gamma   Cox, Log-Normal    FALSE #> 10370  649 1.1228993 0.247566629  fv      Gamma   Cox, Log-Normal    FALSE #> 10386  650 1.3658269 0.347823938  fv      Gamma   Cox, Log-Normal    FALSE #> 10402  651 1.3826703 0.312517206  fv      Gamma   Cox, Log-Normal    FALSE #> 10418  652 0.9966013 0.263252969  fv      Gamma   Cox, Log-Normal    FALSE #> 10434  653 1.3938498 0.378569327  fv      Gamma   Cox, Log-Normal    FALSE #> 10450  654 0.7498765 0.198991232  fv      Gamma   Cox, Log-Normal    FALSE #> 10466  655 0.8188198 0.148632081  fv      Gamma   Cox, Log-Normal    FALSE #> 10482  656 0.9838947 0.237718941  fv      Gamma   Cox, Log-Normal    FALSE #> 10498  657 0.9509122 0.222243095  fv      Gamma   Cox, Log-Normal    FALSE #> 10514  658 1.0495215 0.221859992  fv      Gamma   Cox, Log-Normal    FALSE #> 10530  659 1.1024600 0.246582294  fv      Gamma   Cox, Log-Normal    FALSE #> 10546  660 1.1214802 0.345331077  fv      Gamma   Cox, Log-Normal    FALSE #> 10562  661 0.8252543 0.208741101  fv      Gamma   Cox, Log-Normal    FALSE #> 10578  662 0.5439256 0.113712777  fv      Gamma   Cox, Log-Normal    FALSE #> 10594  663 0.7762586 0.185818017  fv      Gamma   Cox, Log-Normal    FALSE #> 10610  664 0.9321685 0.141486786  fv      Gamma   Cox, Log-Normal    FALSE #> 10626  665 0.9641151 0.245897886  fv      Gamma   Cox, Log-Normal    FALSE #> 10642  666 0.9707480 0.281544181  fv      Gamma   Cox, Log-Normal    FALSE #> 10658  667 1.1775076 0.327488577  fv      Gamma   Cox, Log-Normal    FALSE #> 10674  668 1.2100674 0.383647041  fv      Gamma   Cox, Log-Normal    FALSE #> 10690  669 0.7079595 0.202483076  fv      Gamma   Cox, Log-Normal    FALSE #> 10706  670 1.1701748 0.308158336  fv      Gamma   Cox, Log-Normal    FALSE #> 10722  671 1.2338212 0.274821951  fv      Gamma   Cox, Log-Normal    FALSE #> 10738  672 0.7795158 0.186065151  fv      Gamma   Cox, Log-Normal    FALSE #> 10754  673 0.8208763 0.152826786  fv      Gamma   Cox, Log-Normal    FALSE #> 10770  674 1.3740360 0.392376078  fv      Gamma   Cox, Log-Normal     TRUE #> 10786  675 0.9580433 0.177217021  fv      Gamma   Cox, Log-Normal    FALSE #> 10802  676 0.6479120 0.215451916  fv      Gamma   Cox, Log-Normal    FALSE #> 10818  677 0.8237457 0.173619019  fv      Gamma   Cox, Log-Normal    FALSE #> 10834  678 1.1448183 0.294799498  fv      Gamma   Cox, Log-Normal    FALSE #> 10850  679 1.4160710 0.319465728  fv      Gamma   Cox, Log-Normal    FALSE #> 10866  680 1.0010333 0.366282201  fv      Gamma   Cox, Log-Normal    FALSE #> 10882  681 0.7361065 0.213144710  fv      Gamma   Cox, Log-Normal    FALSE #> 10898  682 0.9640440 0.204357977  fv      Gamma   Cox, Log-Normal    FALSE #> 10914  683 1.1832964 0.328296114  fv      Gamma   Cox, Log-Normal    FALSE #> 10930  684 1.2352413 0.256935059  fv      Gamma   Cox, Log-Normal    FALSE #> 10946  685 0.8576592 0.208323295  fv      Gamma   Cox, Log-Normal    FALSE #> 10962  686 0.6559387 0.148327340  fv      Gamma   Cox, Log-Normal    FALSE #> 10978  687 1.3955422 0.274232845  fv      Gamma   Cox, Log-Normal    FALSE #> 10994  688 0.9477181 0.185695063  fv      Gamma   Cox, Log-Normal    FALSE #> 11010  689 0.8098337 0.146404742  fv      Gamma   Cox, Log-Normal    FALSE #> 11026  690 1.2282291 0.224138226  fv      Gamma   Cox, Log-Normal    FALSE #> 11042  691 1.0052381 0.169059700  fv      Gamma   Cox, Log-Normal    FALSE #> 11058  692 0.9559934 0.175651808  fv      Gamma   Cox, Log-Normal    FALSE #> 11074  693 1.3037994 0.320750495  fv      Gamma   Cox, Log-Normal    FALSE #> 11090  694 1.0887350 0.262845102  fv      Gamma   Cox, Log-Normal    FALSE #> 11106  695 1.0245538 0.316179341  fv      Gamma   Cox, Log-Normal    FALSE #> 11122  696 1.0057025 0.279965660  fv      Gamma   Cox, Log-Normal    FALSE #> 11138  697 1.0332112 0.228229709  fv      Gamma   Cox, Log-Normal    FALSE #> 11154  698 1.0008029 0.230392985  fv      Gamma   Cox, Log-Normal    FALSE #> 11170  699 0.9448768 0.148606204  fv      Gamma   Cox, Log-Normal    FALSE #> 11186  700 1.6100507 0.301322970  fv      Gamma   Cox, Log-Normal     TRUE #> 11202  701 0.8168552 0.166749623  fv      Gamma   Cox, Log-Normal    FALSE #> 11218  702 0.7951008 0.229465092  fv      Gamma   Cox, Log-Normal    FALSE #> 11234  703 0.7124699 0.176676006  fv      Gamma   Cox, Log-Normal    FALSE #> 11250  704 1.2850043 0.227968238  fv      Gamma   Cox, Log-Normal    FALSE #> 11266  705 1.4407282 0.311041525  fv      Gamma   Cox, Log-Normal    FALSE #> 11282  706 1.0292844 0.184432785  fv      Gamma   Cox, Log-Normal    FALSE #> 11298  707 0.7592113 0.220094759  fv      Gamma   Cox, Log-Normal    FALSE #> 11314  708 1.1536924 0.378570168  fv      Gamma   Cox, Log-Normal    FALSE #> 11330  709 0.9301348 0.152019700  fv      Gamma   Cox, Log-Normal    FALSE #> 11346  710 0.9747393 0.152258390  fv      Gamma   Cox, Log-Normal    FALSE #> 11362  711 0.4419933 0.091587040  fv      Gamma   Cox, Log-Normal     TRUE #> 11378  712 0.9574598 0.232824090  fv      Gamma   Cox, Log-Normal    FALSE #> 11394  713 0.9989393 0.196517724  fv      Gamma   Cox, Log-Normal    FALSE #> 11410  714 1.2846766 0.430198645  fv      Gamma   Cox, Log-Normal     TRUE #> 11426  715 1.3765564 0.287137467  fv      Gamma   Cox, Log-Normal    FALSE #> 11442  716 1.0736204 0.271160711  fv      Gamma   Cox, Log-Normal    FALSE #> 11458  717 0.8447250 0.275879055  fv      Gamma   Cox, Log-Normal    FALSE #> 11474  718 1.0081585 0.250844357  fv      Gamma   Cox, Log-Normal    FALSE #> 11490  719 0.7888853 0.143021641  fv      Gamma   Cox, Log-Normal    FALSE #> 11506  720 0.8275914 0.169821218  fv      Gamma   Cox, Log-Normal    FALSE #> 11522  721 1.0362940 0.250343175  fv      Gamma   Cox, Log-Normal    FALSE #> 11538  722 1.2802454 0.333262567  fv      Gamma   Cox, Log-Normal    FALSE #> 11554  723 1.0636312 0.323034788  fv      Gamma   Cox, Log-Normal    FALSE #> 11570  724 0.7908268 0.162506524  fv      Gamma   Cox, Log-Normal    FALSE #> 11586  725 0.8741268 0.195905074  fv      Gamma   Cox, Log-Normal    FALSE #> 11602  726 0.7664078 0.217471393  fv      Gamma   Cox, Log-Normal    FALSE #> 11618  727 1.1345593 0.312048852  fv      Gamma   Cox, Log-Normal    FALSE #> 11634  728 0.6815268 0.256231339  fv      Gamma   Cox, Log-Normal    FALSE #> 11650  729 1.0012762 0.190967467  fv      Gamma   Cox, Log-Normal    FALSE #> 11666  730 1.3645868 0.417363902  fv      Gamma   Cox, Log-Normal     TRUE #> 11682  731 1.4012566 0.325484691  fv      Gamma   Cox, Log-Normal    FALSE #> 11698  732 1.2333383 0.213696113  fv      Gamma   Cox, Log-Normal    FALSE #> 11714  733 0.7422468 0.180001456  fv      Gamma   Cox, Log-Normal    FALSE #> 11730  734 0.7656523 0.212408503  fv      Gamma   Cox, Log-Normal    FALSE #> 11746  735 1.1366086 0.281915857  fv      Gamma   Cox, Log-Normal    FALSE #> 11762  736 1.0835050 0.304493693  fv      Gamma   Cox, Log-Normal    FALSE #> 11778  737 0.9811711 0.246886659  fv      Gamma   Cox, Log-Normal    FALSE #> 11794  738 0.8368011 0.340475523  fv      Gamma   Cox, Log-Normal    FALSE #> 11810  739 0.9087165 0.200542432  fv      Gamma   Cox, Log-Normal    FALSE #> 11826  740 0.8700050 0.193399163  fv      Gamma   Cox, Log-Normal    FALSE #> 11842  741 1.0493966 0.242318925  fv      Gamma   Cox, Log-Normal    FALSE #> 11858  742 0.7285165 0.152167499  fv      Gamma   Cox, Log-Normal    FALSE #> 11874  743 1.0809077 0.253157125  fv      Gamma   Cox, Log-Normal    FALSE #> 11890  744 1.3116924 0.349032088  fv      Gamma   Cox, Log-Normal    FALSE #> 11906  745 0.8668810 0.255673856  fv      Gamma   Cox, Log-Normal    FALSE #> 11922  746 0.5031063 0.086395670  fv      Gamma   Cox, Log-Normal    FALSE #> 11938  747 0.8514091 0.212312538  fv      Gamma   Cox, Log-Normal    FALSE #> 11954  748 1.0763630 0.181266049  fv      Gamma   Cox, Log-Normal    FALSE #> 11970  749 0.8902869 0.251796213  fv      Gamma   Cox, Log-Normal    FALSE #> 11986  750 0.6972912 0.147370632  fv      Gamma   Cox, Log-Normal    FALSE #> 12002  751 1.1695505 0.209407579  fv      Gamma   Cox, Log-Normal    FALSE #> 12018  752 1.0586978 0.231401972  fv      Gamma   Cox, Log-Normal    FALSE #> 12034  753 0.7359262 0.219724376  fv      Gamma   Cox, Log-Normal    FALSE #> 12050  754 1.0893551 0.230029873  fv      Gamma   Cox, Log-Normal    FALSE #> 12066  755 0.9971904 0.175161437  fv      Gamma   Cox, Log-Normal    FALSE #> 12082  756 1.5691599 0.295112101  fv      Gamma   Cox, Log-Normal     TRUE #> 12098  757 0.7713164 0.186796598  fv      Gamma   Cox, Log-Normal    FALSE #> 12114  758 0.6428408 0.152198490  fv      Gamma   Cox, Log-Normal    FALSE #> 12130  759 0.7885099 0.154161821  fv      Gamma   Cox, Log-Normal    FALSE #> 12146  760 0.7606324 0.162254956  fv      Gamma   Cox, Log-Normal    FALSE #> 12162  761 1.0477843 0.279182770  fv      Gamma   Cox, Log-Normal    FALSE #> 12178  762 0.8354850 0.168909484  fv      Gamma   Cox, Log-Normal    FALSE #> 12194  763 0.7569949 0.166489594  fv      Gamma   Cox, Log-Normal    FALSE #> 12210  764 0.9842876 0.267116745  fv      Gamma   Cox, Log-Normal    FALSE #> 12226  765 0.7749107 0.196827870  fv      Gamma   Cox, Log-Normal    FALSE #> 12242  766 0.6556944 0.126006011  fv      Gamma   Cox, Log-Normal    FALSE #> 12258  767 0.9765773 0.221128587  fv      Gamma   Cox, Log-Normal    FALSE #> 12274  768 1.0265077 0.226275490  fv      Gamma   Cox, Log-Normal    FALSE #> 12290  769 1.0165964 0.206041439  fv      Gamma   Cox, Log-Normal    FALSE #> 12306  770 0.7551010 0.216493504  fv      Gamma   Cox, Log-Normal    FALSE #> 12322  771 0.6450434 0.111705699  fv      Gamma   Cox, Log-Normal    FALSE #> 12338  772 1.1912443 0.351233857  fv      Gamma   Cox, Log-Normal    FALSE #> 12354  773 0.8052817 0.219677124  fv      Gamma   Cox, Log-Normal    FALSE #> 12370  774 0.9495006 0.183682679  fv      Gamma   Cox, Log-Normal    FALSE #> 12386  775 1.4295249 0.357730455  fv      Gamma   Cox, Log-Normal    FALSE #> 12402  776 0.9464133 0.161655065  fv      Gamma   Cox, Log-Normal    FALSE #> 12418  777 0.7990472 0.188022633  fv      Gamma   Cox, Log-Normal    FALSE #> 12434  778 1.1233230 0.279950067  fv      Gamma   Cox, Log-Normal    FALSE #> 12450  779 1.1826743 0.287929833  fv      Gamma   Cox, Log-Normal    FALSE #> 12466  780 1.1225019 0.260847577  fv      Gamma   Cox, Log-Normal    FALSE #> 12482  781 0.8087508 0.219948457  fv      Gamma   Cox, Log-Normal    FALSE #> 12498  782 0.9323221 0.354579850  fv      Gamma   Cox, Log-Normal    FALSE #> 12514  783 0.9546923 0.172823948  fv      Gamma   Cox, Log-Normal    FALSE #> 12530  784 0.8109267 0.135871785  fv      Gamma   Cox, Log-Normal    FALSE #> 12546  785 0.8227292 0.153966550  fv      Gamma   Cox, Log-Normal    FALSE #> 12562  786 1.0155313 0.221229923  fv      Gamma   Cox, Log-Normal    FALSE #> 12578  787 1.2265997 0.381780641  fv      Gamma   Cox, Log-Normal    FALSE #> 12594  788 0.9968011 0.271020910  fv      Gamma   Cox, Log-Normal    FALSE #> 12610  789 0.9961110 0.264108258  fv      Gamma   Cox, Log-Normal    FALSE #> 12626  790 1.3866559 0.403052216  fv      Gamma   Cox, Log-Normal     TRUE #> 12642  791 1.2942187 0.345936087  fv      Gamma   Cox, Log-Normal    FALSE #> 12658  792 1.3274802 0.294559219  fv      Gamma   Cox, Log-Normal    FALSE #> 12674  793 0.8710422 0.188337532  fv      Gamma   Cox, Log-Normal    FALSE #> 12690  794 0.4656342 0.086212385  fv      Gamma   Cox, Log-Normal     TRUE #> 12706  795 0.9488004 0.249943737  fv      Gamma   Cox, Log-Normal    FALSE #> 12722  796 1.0833683 0.238579911  fv      Gamma   Cox, Log-Normal    FALSE #> 12738  797 0.7134433 0.174971445  fv      Gamma   Cox, Log-Normal    FALSE #> 12754  798 0.7488683 0.203887403  fv      Gamma   Cox, Log-Normal    FALSE #> 12770  799 1.4826244 0.460159427  fv      Gamma   Cox, Log-Normal     TRUE #> 12786  800 1.2555919 0.228477636  fv      Gamma   Cox, Log-Normal    FALSE #> 12802  801 0.7767814 0.216792490  fv      Gamma   Cox, Log-Normal    FALSE #> 12818  802 0.8039006 0.143589898  fv      Gamma   Cox, Log-Normal    FALSE #> 12834  803 0.9486562 0.154256665  fv      Gamma   Cox, Log-Normal    FALSE #> 12850  804 1.0328948 0.231771198  fv      Gamma   Cox, Log-Normal    FALSE #> 12866  805 0.9798605 0.228212803  fv      Gamma   Cox, Log-Normal    FALSE #> 12882  806 0.7306827 0.144691202  fv      Gamma   Cox, Log-Normal    FALSE #> 12898  807 1.2700539 0.278143788  fv      Gamma   Cox, Log-Normal    FALSE #> 12914  808 0.9736841 0.293168234  fv      Gamma   Cox, Log-Normal    FALSE #> 12930  809 1.3303860 0.442691890  fv      Gamma   Cox, Log-Normal     TRUE #> 12946  810 0.9218010 0.172303136  fv      Gamma   Cox, Log-Normal    FALSE #> 12962  811 1.3147421 0.258687544  fv      Gamma   Cox, Log-Normal    FALSE #> 12978  812 0.8372171 0.211667829  fv      Gamma   Cox, Log-Normal    FALSE #> 12994  813 1.1669162 0.244223344  fv      Gamma   Cox, Log-Normal    FALSE #> 13010  814 0.9559600 0.260826010  fv      Gamma   Cox, Log-Normal    FALSE #> 13026  815 1.4235527 0.327459602  fv      Gamma   Cox, Log-Normal    FALSE #> 13042  816 0.7081849 0.196971428  fv      Gamma   Cox, Log-Normal    FALSE #> 13058  817 1.2131452 0.372971263  fv      Gamma   Cox, Log-Normal    FALSE #> 13074  818 0.8741341 0.256450653  fv      Gamma   Cox, Log-Normal    FALSE #> 13090  819 1.3459854 0.408062364  fv      Gamma   Cox, Log-Normal     TRUE #> 13106  820 0.8721563 0.225198849  fv      Gamma   Cox, Log-Normal    FALSE #> 13122  821 0.9494623 0.270727048  fv      Gamma   Cox, Log-Normal    FALSE #> 13138  822 0.6048632 0.109814168  fv      Gamma   Cox, Log-Normal    FALSE #> 13154  823 1.0187693 0.277289565  fv      Gamma   Cox, Log-Normal    FALSE #> 13170  824 0.9878398 0.232512666  fv      Gamma   Cox, Log-Normal    FALSE #> 13186  825 0.6361843 0.116639807  fv      Gamma   Cox, Log-Normal    FALSE #> 13202  826 0.9407440 0.186621880  fv      Gamma   Cox, Log-Normal    FALSE #> 13218  827 0.9250230 0.206624297  fv      Gamma   Cox, Log-Normal    FALSE #> 13234  828 1.4586544 0.400674246  fv      Gamma   Cox, Log-Normal     TRUE #> 13250  829 0.7062700 0.123119510  fv      Gamma   Cox, Log-Normal    FALSE #> 13266  830 1.2702881 0.292952627  fv      Gamma   Cox, Log-Normal    FALSE #> 13282  831 0.7167738 0.210742781  fv      Gamma   Cox, Log-Normal    FALSE #> 13298  832 0.8667566 0.156346725  fv      Gamma   Cox, Log-Normal    FALSE #> 13314  833 0.9890096 0.226437277  fv      Gamma   Cox, Log-Normal    FALSE #> 13330  834 0.6529406 0.148180979  fv      Gamma   Cox, Log-Normal    FALSE #> 13346  835 0.9492850 0.219981130  fv      Gamma   Cox, Log-Normal    FALSE #> 13362  836 0.9453736 0.258429879  fv      Gamma   Cox, Log-Normal    FALSE #> 13378  837 0.9578582 0.272680782  fv      Gamma   Cox, Log-Normal    FALSE #> 13394  838 1.2202325 0.219416306  fv      Gamma   Cox, Log-Normal    FALSE #> 13410  839 0.7622538 0.136150062  fv      Gamma   Cox, Log-Normal    FALSE #> 13426  840 1.0482271 0.241604455  fv      Gamma   Cox, Log-Normal    FALSE #> 13442  841 0.9043676 0.148058562  fv      Gamma   Cox, Log-Normal    FALSE #> 13458  842 0.9913150 0.280168128  fv      Gamma   Cox, Log-Normal    FALSE #> 13474  843 1.3223045 0.330990887  fv      Gamma   Cox, Log-Normal    FALSE #> 13490  844 1.0021235 0.292823919  fv      Gamma   Cox, Log-Normal    FALSE #> 13506  845 1.4004414 0.318104284  fv      Gamma   Cox, Log-Normal    FALSE #> 13522  846 0.8416453 0.250660878  fv      Gamma   Cox, Log-Normal    FALSE #> 13538  847 0.8243172 0.288155697  fv      Gamma   Cox, Log-Normal    FALSE #> 13554  848 0.5899439 0.122537752  fv      Gamma   Cox, Log-Normal    FALSE #> 13570  849 0.9414000 0.178355553  fv      Gamma   Cox, Log-Normal    FALSE #> 13586  850 0.8407891 0.160878072  fv      Gamma   Cox, Log-Normal    FALSE #> 13602  851 0.9823066 0.238544662  fv      Gamma   Cox, Log-Normal    FALSE #> 13618  852 0.5618333 0.110283440  fv      Gamma   Cox, Log-Normal    FALSE #> 13634  853 0.9624791 0.197866836  fv      Gamma   Cox, Log-Normal    FALSE #> 13650  854 0.7179179 0.157504403  fv      Gamma   Cox, Log-Normal    FALSE #> 13666  855 1.2551276 0.310599897  fv      Gamma   Cox, Log-Normal    FALSE #> 13682  856 1.0833605 0.207529494  fv      Gamma   Cox, Log-Normal    FALSE #> 13698  857 0.7307127 0.179278420  fv      Gamma   Cox, Log-Normal    FALSE #> 13714  858 0.8702718 0.224544233  fv      Gamma   Cox, Log-Normal    FALSE #> 13730  859 0.8669632 0.270433850  fv      Gamma   Cox, Log-Normal    FALSE #> 13746  860 0.7547683 0.132468609  fv      Gamma   Cox, Log-Normal    FALSE #> 13762  861 1.1262160 0.257465167  fv      Gamma   Cox, Log-Normal    FALSE #> 13778  862 0.8389212 0.161464653  fv      Gamma   Cox, Log-Normal    FALSE #> 13794  863 1.0119069 0.212102924  fv      Gamma   Cox, Log-Normal    FALSE #> 13810  864 0.9537157 0.216189336  fv      Gamma   Cox, Log-Normal    FALSE #> 13826  865 1.0120405 0.205255774  fv      Gamma   Cox, Log-Normal    FALSE #> 13842  866 0.7974231 0.133804459  fv      Gamma   Cox, Log-Normal    FALSE #> 13858  867 0.9060825 0.156806604  fv      Gamma   Cox, Log-Normal    FALSE #> 13874  868 0.9688863 0.217092971  fv      Gamma   Cox, Log-Normal    FALSE #> 13890  869 1.0266109 0.254779900  fv      Gamma   Cox, Log-Normal    FALSE #> 13906  870 0.9479034 0.327682086  fv      Gamma   Cox, Log-Normal    FALSE #> 13922  871 1.2468126 0.291359832  fv      Gamma   Cox, Log-Normal    FALSE #> 13938  872 1.3083943 0.333635934  fv      Gamma   Cox, Log-Normal    FALSE #> 13954  873 1.1743319 0.209116592  fv      Gamma   Cox, Log-Normal    FALSE #> 13970  874 1.5305586 0.443951756  fv      Gamma   Cox, Log-Normal     TRUE #> 13986  875 0.7607191 0.145312089  fv      Gamma   Cox, Log-Normal    FALSE #> 14002  876 0.8779484 0.192866111  fv      Gamma   Cox, Log-Normal    FALSE #> 14018  877 0.9984085 0.211132798  fv      Gamma   Cox, Log-Normal    FALSE #> 14034  878 1.0891524 0.319090619  fv      Gamma   Cox, Log-Normal    FALSE #> 14050  879 0.8993115 0.342239070  fv      Gamma   Cox, Log-Normal    FALSE #> 14066  880 1.4072146 0.315934948  fv      Gamma   Cox, Log-Normal    FALSE #> 14082  881 1.1304945 0.294741363  fv      Gamma   Cox, Log-Normal    FALSE #> 14098  882 1.2693027 0.233265611  fv      Gamma   Cox, Log-Normal    FALSE #> 14114  883 0.7511724 0.169083381  fv      Gamma   Cox, Log-Normal    FALSE #> 14130  884 0.7769513 0.153621573  fv      Gamma   Cox, Log-Normal    FALSE #> 14146  885 0.7564225 0.181152611  fv      Gamma   Cox, Log-Normal    FALSE #> 14162  886 0.7533057 0.187639873  fv      Gamma   Cox, Log-Normal    FALSE #> 14178  887 0.9411945 0.197051463  fv      Gamma   Cox, Log-Normal    FALSE #> 14194  888 1.3209266 0.241801270  fv      Gamma   Cox, Log-Normal    FALSE #> 14210  889 1.0464163 0.206246274  fv      Gamma   Cox, Log-Normal    FALSE #> 14226  890 0.7922736 0.208611946  fv      Gamma   Cox, Log-Normal    FALSE #> 14242  891 0.6048097 0.093277354  fv      Gamma   Cox, Log-Normal    FALSE #> 14258  892 0.9090234 0.181751021  fv      Gamma   Cox, Log-Normal    FALSE #> 14274  893 1.1860418 0.343862998  fv      Gamma   Cox, Log-Normal    FALSE #> 14290  894 0.7139899 0.164547200  fv      Gamma   Cox, Log-Normal    FALSE #> 14306  895 0.8511802 0.176060960  fv      Gamma   Cox, Log-Normal    FALSE #> 14322  896 1.1897072 0.217763226  fv      Gamma   Cox, Log-Normal    FALSE #> 14338  897 0.8726068 0.157842972  fv      Gamma   Cox, Log-Normal    FALSE #> 14354  898 1.1845061 0.237803283  fv      Gamma   Cox, Log-Normal    FALSE #> 14370  899 1.0443795 0.246772790  fv      Gamma   Cox, Log-Normal    FALSE #> 14386  900 1.1583504 0.323680854  fv      Gamma   Cox, Log-Normal    FALSE #> 14402  901 0.7415650 0.170452452  fv      Gamma   Cox, Log-Normal    FALSE #> 14418  902 0.7003490 0.139088567  fv      Gamma   Cox, Log-Normal    FALSE #> 14434  903 0.7841447 0.149742194  fv      Gamma   Cox, Log-Normal    FALSE #> 14450  904 1.5901697 0.482677057  fv      Gamma   Cox, Log-Normal     TRUE #> 14466  905 0.7896432 0.138737460  fv      Gamma   Cox, Log-Normal    FALSE #> 14482  906 1.3915225 0.266295262  fv      Gamma   Cox, Log-Normal    FALSE #> 14498  907 1.0235347 0.258435199  fv      Gamma   Cox, Log-Normal    FALSE #> 14514  908 0.8794528 0.274871726  fv      Gamma   Cox, Log-Normal    FALSE #> 14530  909 0.7616585 0.153069885  fv      Gamma   Cox, Log-Normal    FALSE #> 14546  910 0.6709826 0.127266750  fv      Gamma   Cox, Log-Normal    FALSE #> 14562  911 0.9426690 0.305758226  fv      Gamma   Cox, Log-Normal    FALSE #> 14578  912 0.6876512 0.115011789  fv      Gamma   Cox, Log-Normal    FALSE #> 14594  913 0.9720124 0.200778297  fv      Gamma   Cox, Log-Normal    FALSE #> 14610  914 0.8574690 0.251944490  fv      Gamma   Cox, Log-Normal    FALSE #> 14626  915 1.1770862 0.283699685  fv      Gamma   Cox, Log-Normal    FALSE #> 14642  916 0.6674906 0.129719682  fv      Gamma   Cox, Log-Normal    FALSE #> 14658  917 1.0089240 0.301683903  fv      Gamma   Cox, Log-Normal    FALSE #> 14674  918 1.0180468 0.176241349  fv      Gamma   Cox, Log-Normal    FALSE #> 14690  919 0.6774361 0.111074751  fv      Gamma   Cox, Log-Normal    FALSE #> 14706  920 0.9816049 0.176035972  fv      Gamma   Cox, Log-Normal    FALSE #> 14722  921 1.1225462 0.265504818  fv      Gamma   Cox, Log-Normal    FALSE #> 14738  922 1.6005520 0.403568432  fv      Gamma   Cox, Log-Normal     TRUE #> 14754  923 0.9384639 0.171544257  fv      Gamma   Cox, Log-Normal    FALSE #> 14770  924 0.9551133 0.151122096  fv      Gamma   Cox, Log-Normal    FALSE #> 14786  925 1.2062083 0.344311268  fv      Gamma   Cox, Log-Normal    FALSE #> 14802  926 0.9341805 0.185300287  fv      Gamma   Cox, Log-Normal    FALSE #> 14818  927 0.5496008 0.113479221  fv      Gamma   Cox, Log-Normal    FALSE #> 14834  928 0.9298163 0.196767579  fv      Gamma   Cox, Log-Normal    FALSE #> 14850  929 1.0148063 0.250301564  fv      Gamma   Cox, Log-Normal    FALSE #> 14866  930 1.4671972 0.477190164  fv      Gamma   Cox, Log-Normal     TRUE #> 14882  931 0.9037657 0.193220022  fv      Gamma   Cox, Log-Normal    FALSE #> 14898  932 1.2131691 0.230914741  fv      Gamma   Cox, Log-Normal    FALSE #> 14914  933 0.7664552 0.172978498  fv      Gamma   Cox, Log-Normal    FALSE #> 14930  934 0.7235467 0.099478559  fv      Gamma   Cox, Log-Normal    FALSE #> 14946  935 0.5651276 0.109392225  fv      Gamma   Cox, Log-Normal    FALSE #> 14962  936 0.7738704 0.156934151  fv      Gamma   Cox, Log-Normal    FALSE #> 14978  937 1.4874432 0.363632319  fv      Gamma   Cox, Log-Normal     TRUE #> 14994  938 1.0628662 0.267143882  fv      Gamma   Cox, Log-Normal    FALSE #> 15010  939 1.0222365 0.192388758  fv      Gamma   Cox, Log-Normal    FALSE #> 15026  940 1.0277460 0.196087165  fv      Gamma   Cox, Log-Normal    FALSE #> 15042  941 0.8016317 0.159316442  fv      Gamma   Cox, Log-Normal    FALSE #> 15058  942 0.8411527 0.182284638  fv      Gamma   Cox, Log-Normal    FALSE #> 15074  943 0.5594256 0.113623496  fv      Gamma   Cox, Log-Normal    FALSE #> 15090  944 0.7729183 0.124686294  fv      Gamma   Cox, Log-Normal    FALSE #> 15106  945 0.7428305 0.151083868  fv      Gamma   Cox, Log-Normal    FALSE #> 15122  946 1.1677163 0.377504451  fv      Gamma   Cox, Log-Normal    FALSE #> 15138  947 0.8375811 0.210228463  fv      Gamma   Cox, Log-Normal    FALSE #> 15154  948 0.6906720 0.230450716  fv      Gamma   Cox, Log-Normal    FALSE #> 15170  949 0.8148721 0.226169057  fv      Gamma   Cox, Log-Normal    FALSE #> 15186  950 0.7721582 0.203677104  fv      Gamma   Cox, Log-Normal    FALSE #> 15202  951 0.9992324 0.220599272  fv      Gamma   Cox, Log-Normal    FALSE #> 15218  952 0.8222391 0.179491347  fv      Gamma   Cox, Log-Normal    FALSE #> 15234  953 1.6443296 0.391757692  fv      Gamma   Cox, Log-Normal     TRUE #> 15250  954 0.8622421 0.193926799  fv      Gamma   Cox, Log-Normal    FALSE #> 15266  955 1.0271637 0.198165599  fv      Gamma   Cox, Log-Normal    FALSE #> 15282  956 0.7877326 0.190345590  fv      Gamma   Cox, Log-Normal    FALSE #> 15298  957 0.7332077 0.170648591  fv      Gamma   Cox, Log-Normal    FALSE #> 15314  958 0.6742120 0.141736639  fv      Gamma   Cox, Log-Normal    FALSE #> 15330  959 0.8116423 0.176636628  fv      Gamma   Cox, Log-Normal    FALSE #> 15346  960 1.0381126 0.247132858  fv      Gamma   Cox, Log-Normal    FALSE #> 15362  961 0.6263490 0.119573651  fv      Gamma   Cox, Log-Normal    FALSE #> 15378  962 1.2298672 0.279659616  fv      Gamma   Cox, Log-Normal    FALSE #> 15394  963 1.3100317 0.351291999  fv      Gamma   Cox, Log-Normal    FALSE #> 15410  964 0.9385725 0.212853684  fv      Gamma   Cox, Log-Normal    FALSE #> 15426  965 0.7237833 0.136184000  fv      Gamma   Cox, Log-Normal    FALSE #> 15442  966 1.0774498 0.255201646  fv      Gamma   Cox, Log-Normal    FALSE #> 15458  967 0.8661890 0.186999729  fv      Gamma   Cox, Log-Normal    FALSE #> 15474  968 0.7440313 0.163577636  fv      Gamma   Cox, Log-Normal    FALSE #> 15490  969 1.0548245 0.323917765  fv      Gamma   Cox, Log-Normal    FALSE #> 15506  970 1.0335275 0.417785729  fv      Gamma   Cox, Log-Normal     TRUE #> 15522  971 0.8920170 0.217781465  fv      Gamma   Cox, Log-Normal    FALSE #> 15538  972 0.8443654 0.262375588  fv      Gamma   Cox, Log-Normal    FALSE #> 15554  973 1.4316470 0.431582164  fv      Gamma   Cox, Log-Normal     TRUE #> 15570  974 0.6408896 0.154553156  fv      Gamma   Cox, Log-Normal    FALSE #> 15586  975 0.5818109 0.121328131  fv      Gamma   Cox, Log-Normal    FALSE #> 15602  976 0.9803179 0.204723535  fv      Gamma   Cox, Log-Normal    FALSE #> 15618  977 1.1977389 0.247126848  fv      Gamma   Cox, Log-Normal    FALSE #> 15634  978 1.1178645 0.327386366  fv      Gamma   Cox, Log-Normal    FALSE #> 15650  979 1.2145658 0.344268311  fv      Gamma   Cox, Log-Normal    FALSE #> 15666  980 0.6638111 0.139988436  fv      Gamma   Cox, Log-Normal    FALSE #> 15682  981 0.9741935 0.298000366  fv      Gamma   Cox, Log-Normal    FALSE #> 15698  982 1.2667102 0.291885120  fv      Gamma   Cox, Log-Normal    FALSE #> 15714  983 0.6366284 0.142543764  fv      Gamma   Cox, Log-Normal    FALSE #> 15730  984 0.9916257 0.230161087  fv      Gamma   Cox, Log-Normal    FALSE #> 15746  985 1.1673924 0.329455282  fv      Gamma   Cox, Log-Normal    FALSE #> 15762  986 0.8093946 0.131512474  fv      Gamma   Cox, Log-Normal    FALSE #> 15778  987 0.6809663 0.166413324  fv      Gamma   Cox, Log-Normal    FALSE #> 15794  988 0.8090418 0.168468434  fv      Gamma   Cox, Log-Normal    FALSE #> 15810  989 1.1203963 0.254390270  fv      Gamma   Cox, Log-Normal    FALSE #> 15826  990 0.8937730 0.181708706  fv      Gamma   Cox, Log-Normal    FALSE #> 15842  991 1.0581390 0.254618273  fv      Gamma   Cox, Log-Normal    FALSE #> 15858  992 1.1236897 0.339523124  fv      Gamma   Cox, Log-Normal    FALSE #> 15874  993 1.4089872 0.331849490  fv      Gamma   Cox, Log-Normal    FALSE #> 15890  994 0.9304340 0.200697045  fv      Gamma   Cox, Log-Normal    FALSE #> 15906  995 0.9726530 0.218311522  fv      Gamma   Cox, Log-Normal    FALSE #> 15922  996 0.8111108 0.164699823  fv      Gamma   Cox, Log-Normal    FALSE #> 15938  997 0.7307507 0.230449780  fv      Gamma   Cox, Log-Normal    FALSE #> 15954  998 0.8727082 0.192062571  fv      Gamma   Cox, Log-Normal    FALSE #> 15970  999 0.6342790 0.116767975  fv      Gamma   Cox, Log-Normal    FALSE #> 15986 1000 0.6557219 0.167090143  fv      Gamma   Cox, Log-Normal    FALSE #> 3        1 0.6583130 0.126035398  fv      Gamma      RP(P), Gamma    FALSE #> 19       2 0.6622712 0.129798360  fv      Gamma      RP(P), Gamma    FALSE #> 35       3 1.0983598 0.207128706  fv      Gamma      RP(P), Gamma     TRUE #> 51       4 0.8432273 0.157280985  fv      Gamma      RP(P), Gamma    FALSE #> 67       5 0.7044549 0.135560564  fv      Gamma      RP(P), Gamma    FALSE #> 83       6        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 99       7 0.6501343 0.124699716  fv      Gamma      RP(P), Gamma    FALSE #> 115      8 1.0008371 0.185404780  fv      Gamma      RP(P), Gamma    FALSE #> 131      9 0.8262565 0.156514195  fv      Gamma      RP(P), Gamma    FALSE #> 147     10 0.8201887 0.155263227  fv      Gamma      RP(P), Gamma    FALSE #> 163     11 0.8137370 0.155704386  fv      Gamma      RP(P), Gamma    FALSE #> 179     12 0.9939974 0.184176616  fv      Gamma      RP(P), Gamma    FALSE #> 195     13 0.9504802 0.177824029  fv      Gamma      RP(P), Gamma    FALSE #> 211     14 0.5829730 0.115298145  fv      Gamma      RP(P), Gamma    FALSE #> 227     15 0.8822492 0.165491846  fv      Gamma      RP(P), Gamma    FALSE #> 243     16 1.0082479 0.185522929  fv      Gamma      RP(P), Gamma    FALSE #> 259     17 0.5973382 0.115826569  fv      Gamma      RP(P), Gamma    FALSE #> 275     18 0.4678429 0.096466091  fv      Gamma      RP(P), Gamma    FALSE #> 291     19 0.7328936 0.139614821  fv      Gamma      RP(P), Gamma    FALSE #> 307     20 0.9565953 0.179037879  fv      Gamma      RP(P), Gamma    FALSE #> 323     21 0.5538343 0.111582907  fv      Gamma      RP(P), Gamma    FALSE #> 339     22 0.8928450 0.168502035  fv      Gamma      RP(P), Gamma    FALSE #> 355     23 0.6152640 0.118919219  fv      Gamma      RP(P), Gamma    FALSE #> 371     24 0.7529937 0.142318629  fv      Gamma      RP(P), Gamma    FALSE #> 387     25 0.7807405 0.147597737  fv      Gamma      RP(P), Gamma    FALSE #> 403     26 0.7246273 0.139343002  fv      Gamma      RP(P), Gamma    FALSE #> 419     27 1.1459225 0.211761785  fv      Gamma      RP(P), Gamma     TRUE #> 435     28 1.0210508 0.188347485  fv      Gamma      RP(P), Gamma     TRUE #> 451     29        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 467     30 0.9633830 0.180741692  fv      Gamma      RP(P), Gamma    FALSE #> 483     31 0.6172289 0.121507402  fv      Gamma      RP(P), Gamma    FALSE #> 499     32 0.7787334 0.148374349  fv      Gamma      RP(P), Gamma    FALSE #> 515     33 0.5966043 0.115428078  fv      Gamma      RP(P), Gamma    FALSE #> 531     34 0.5606909 0.109628967  fv      Gamma      RP(P), Gamma    FALSE #> 547     35 0.7528722 0.146377360  fv      Gamma      RP(P), Gamma    FALSE #> 563     36 0.6003364 0.119702219  fv      Gamma      RP(P), Gamma    FALSE #> 579     37 0.5981520 0.116125997  fv      Gamma      RP(P), Gamma    FALSE #> 595     38 0.5258415 0.103812772  fv      Gamma      RP(P), Gamma    FALSE #> 611     39 0.7151039 0.135677110  fv      Gamma      RP(P), Gamma    FALSE #> 627     40 0.4805411 0.096069472  fv      Gamma      RP(P), Gamma    FALSE #> 643     41 1.1955770 0.214465980  fv      Gamma      RP(P), Gamma     TRUE #> 659     42 0.7131938 0.138882554  fv      Gamma      RP(P), Gamma    FALSE #> 675     43 0.8178025 0.153932387  fv      Gamma      RP(P), Gamma    FALSE #> 691     44 0.8517164 0.159552144  fv      Gamma      RP(P), Gamma    FALSE #> 707     45 0.7770909 0.146570656  fv      Gamma      RP(P), Gamma    FALSE #> 723     46 0.7352140 0.139274517  fv      Gamma      RP(P), Gamma    FALSE #> 739     47 0.9088789 0.172401938  fv      Gamma      RP(P), Gamma    FALSE #> 755     48 0.7543666 0.144637452  fv      Gamma      RP(P), Gamma    FALSE #> 771     49 0.7861070 0.150029967  fv      Gamma      RP(P), Gamma    FALSE #> 787     50 0.7194816 0.136551253  fv      Gamma      RP(P), Gamma    FALSE #> 803     51 0.8995177 0.167805917  fv      Gamma      RP(P), Gamma    FALSE #> 819     52 0.6174492 0.122678304  fv      Gamma      RP(P), Gamma    FALSE #> 835     53 0.6750597 0.130159913  fv      Gamma      RP(P), Gamma    FALSE #> 851     54 0.5309038 0.105027975  fv      Gamma      RP(P), Gamma    FALSE #> 867     55 0.7826463 0.148256356  fv      Gamma      RP(P), Gamma    FALSE #> 883     56 0.7107366 0.137819603  fv      Gamma      RP(P), Gamma    FALSE #> 899     57 0.7873837 0.148295624  fv      Gamma      RP(P), Gamma    FALSE #> 915     58 0.6604236 0.129333742  fv      Gamma      RP(P), Gamma    FALSE #> 931     59 0.7204677 0.137455234  fv      Gamma      RP(P), Gamma    FALSE #> 947     60 0.7937934 0.150215116  fv      Gamma      RP(P), Gamma    FALSE #> 963     61 0.6713512 0.128115321  fv      Gamma      RP(P), Gamma    FALSE #> 979     62 0.6573296 0.128650691  fv      Gamma      RP(P), Gamma    FALSE #> 995     63 0.8607833 0.161828019  fv      Gamma      RP(P), Gamma    FALSE #> 1011    64 0.6543734 0.125543532  fv      Gamma      RP(P), Gamma    FALSE #> 1027    65 0.6954612 0.132073413  fv      Gamma      RP(P), Gamma    FALSE #> 1043    66 0.5448760 0.107425993  fv      Gamma      RP(P), Gamma    FALSE #> 1059    67 0.8194453 0.153073618  fv      Gamma      RP(P), Gamma    FALSE #> 1075    68 0.7446814 0.141854001  fv      Gamma      RP(P), Gamma    FALSE #> 1091    69 0.5579674 0.109410924  fv      Gamma      RP(P), Gamma    FALSE #> 1107    70 0.7098810 0.138933383  fv      Gamma      RP(P), Gamma    FALSE #> 1123    71 0.9406454 0.174400598  fv      Gamma      RP(P), Gamma    FALSE #> 1139    72 0.6530136 0.125588844  fv      Gamma      RP(P), Gamma    FALSE #> 1155    73 0.4734941 0.094092884  fv      Gamma      RP(P), Gamma    FALSE #> 1171    74 0.6754394 0.129318464  fv      Gamma      RP(P), Gamma    FALSE #> 1187    75 0.6957309 0.133701552  fv      Gamma      RP(P), Gamma    FALSE #> 1203    76 0.6999121 0.137477919  fv      Gamma      RP(P), Gamma    FALSE #> 1219    77 0.7887771 0.151086397  fv      Gamma      RP(P), Gamma    FALSE #> 1235    78 1.0335900 0.192017708  fv      Gamma      RP(P), Gamma     TRUE #> 1251    79        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 1267    80 0.6232660 0.123397871  fv      Gamma      RP(P), Gamma    FALSE #> 1283    81 0.9226520 0.175330403  fv      Gamma      RP(P), Gamma    FALSE #> 1299    82 0.7323600 0.139191757  fv      Gamma      RP(P), Gamma    FALSE #> 1315    83 0.4818189 0.099344646  fv      Gamma      RP(P), Gamma    FALSE #> 1331    84 0.7176281 0.136243403  fv      Gamma      RP(P), Gamma    FALSE #> 1347    85 0.7361589 0.140006217  fv      Gamma      RP(P), Gamma    FALSE #> 1363    86 0.7168970 0.136729680  fv      Gamma      RP(P), Gamma    FALSE #> 1379    87 0.5834150 0.113285946  fv      Gamma      RP(P), Gamma    FALSE #> 1395    88 0.7231209 0.137245493  fv      Gamma      RP(P), Gamma    FALSE #> 1411    89 0.7319681 0.139036681  fv      Gamma      RP(P), Gamma    FALSE #> 1427    90 0.8849887 0.164574278  fv      Gamma      RP(P), Gamma    FALSE #> 1443    91 0.7182218 0.136983847  fv      Gamma      RP(P), Gamma    FALSE #> 1459    92 0.6588262 0.126126153  fv      Gamma      RP(P), Gamma    FALSE #> 1475    93 0.9819063 0.189623911  fv      Gamma      RP(P), Gamma     TRUE #> 1491    94 0.8240654 0.157587552  fv      Gamma      RP(P), Gamma    FALSE #> 1507    95 0.7488191 0.141983395  fv      Gamma      RP(P), Gamma    FALSE #> 1523    96 0.4645649 0.093124853  fv      Gamma      RP(P), Gamma    FALSE #> 1539    97 0.5863916 0.113518710  fv      Gamma      RP(P), Gamma    FALSE #> 1555    98 0.8032145 0.151506486  fv      Gamma      RP(P), Gamma    FALSE #> 1571    99 0.5726988 0.112665995  fv      Gamma      RP(P), Gamma    FALSE #> 1587   100 0.8511137 0.158396953  fv      Gamma      RP(P), Gamma    FALSE #> 1603   101 0.8372638 0.155812635  fv      Gamma      RP(P), Gamma    FALSE #> 1619   102 0.7029086 0.133768529  fv      Gamma      RP(P), Gamma    FALSE #> 1635   103 0.8836859 0.168715151  fv      Gamma      RP(P), Gamma    FALSE #> 1651   104 0.7399044 0.139619137  fv      Gamma      RP(P), Gamma    FALSE #> 1667   105 0.8444006 0.159608342  fv      Gamma      RP(P), Gamma    FALSE #> 1683   106 0.7104030 0.135352973  fv      Gamma      RP(P), Gamma    FALSE #> 1699   107 0.8920210 0.169462833  fv      Gamma      RP(P), Gamma    FALSE #> 1715   108 0.7782067 0.151086705  fv      Gamma      RP(P), Gamma    FALSE #> 1731   109 0.6967850 0.134601272  fv      Gamma      RP(P), Gamma    FALSE #> 1747   110 0.8004486 0.151100596  fv      Gamma      RP(P), Gamma    FALSE #> 1763   111 0.8477821 0.159358489  fv      Gamma      RP(P), Gamma    FALSE #> 1779   112 0.4652326 0.093174135  fv      Gamma      RP(P), Gamma    FALSE #> 1795   113 0.5514675 0.108252595  fv      Gamma      RP(P), Gamma    FALSE #> 1811   114 1.1754267 0.213550148  fv      Gamma      RP(P), Gamma     TRUE #> 1827   115 0.6453176 0.124038453  fv      Gamma      RP(P), Gamma    FALSE #> 1843   116 0.5128212 0.101337623  fv      Gamma      RP(P), Gamma    FALSE #> 1859   117 0.7576375 0.142629401  fv      Gamma      RP(P), Gamma    FALSE #> 1875   118 0.5586394 0.109635442  fv      Gamma      RP(P), Gamma    FALSE #> 1891   119 0.6029588 0.117070228  fv      Gamma      RP(P), Gamma    FALSE #> 1907   120 0.7150186 0.136386100  fv      Gamma      RP(P), Gamma    FALSE #> 1923   121 0.6403640 0.124114963  fv      Gamma      RP(P), Gamma    FALSE #> 1939   122 0.6358076 0.123045049  fv      Gamma      RP(P), Gamma    FALSE #> 1955   123 0.7902879 0.149476111  fv      Gamma      RP(P), Gamma    FALSE #> 1971   124 0.7337196 0.138801406  fv      Gamma      RP(P), Gamma    FALSE #> 1987   125 0.8200071 0.155766631  fv      Gamma      RP(P), Gamma    FALSE #> 2003   126 1.0013545 0.191643283  fv      Gamma      RP(P), Gamma     TRUE #> 2019   127 0.8700811 0.162504747  fv      Gamma      RP(P), Gamma    FALSE #> 2035   128 0.8632368 0.161576650  fv      Gamma      RP(P), Gamma    FALSE #> 2051   129 0.5996664 0.119267007  fv      Gamma      RP(P), Gamma    FALSE #> 2067   130 0.6725998 0.129252647  fv      Gamma      RP(P), Gamma    FALSE #> 2083   131 0.6140982 0.117746976  fv      Gamma      RP(P), Gamma    FALSE #> 2099   132 0.7648175 0.148356745  fv      Gamma      RP(P), Gamma    FALSE #> 2115   133 0.7689487 0.147279141  fv      Gamma      RP(P), Gamma    FALSE #> 2131   134 0.7587084 0.143867770  fv      Gamma      RP(P), Gamma    FALSE #> 2147   135 0.5861381 0.114200376  fv      Gamma      RP(P), Gamma    FALSE #> 2163   136 0.8141926 0.154375749  fv      Gamma      RP(P), Gamma    FALSE #> 2179   137 0.8289906 0.155615181  fv      Gamma      RP(P), Gamma    FALSE #> 2195   138 0.9755553 0.183087173  fv      Gamma      RP(P), Gamma    FALSE #> 2211   139 0.6394931 0.123231427  fv      Gamma      RP(P), Gamma    FALSE #> 2227   140 0.7139152 0.135322499  fv      Gamma      RP(P), Gamma    FALSE #> 2243   141 0.5553028 0.110080872  fv      Gamma      RP(P), Gamma    FALSE #> 2259   142 0.6996978 0.133621865  fv      Gamma      RP(P), Gamma    FALSE #> 2275   143 1.1445345 0.218513226  fv      Gamma      RP(P), Gamma     TRUE #> 2291   144 0.8547572 0.159213535  fv      Gamma      RP(P), Gamma    FALSE #> 2307   145 0.6957523 0.133145347  fv      Gamma      RP(P), Gamma    FALSE #> 2323   146 0.6861047 0.131992921  fv      Gamma      RP(P), Gamma    FALSE #> 2339   147        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 2355   148 0.5179757 0.102001564  fv      Gamma      RP(P), Gamma    FALSE #> 2371   149 0.6846178 0.131810489  fv      Gamma      RP(P), Gamma    FALSE #> 2387   150        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 2403   151 0.8349086 0.156790347  fv      Gamma      RP(P), Gamma    FALSE #> 2419   152 0.7973294 0.152804025  fv      Gamma      RP(P), Gamma    FALSE #> 2435   153 0.4923993 0.097955760  fv      Gamma      RP(P), Gamma    FALSE #> 2451   154 0.8363995 0.156721844  fv      Gamma      RP(P), Gamma    FALSE #> 2467   155 0.6940619 0.135793329  fv      Gamma      RP(P), Gamma    FALSE #> 2483   156 0.7151754 0.135913072  fv      Gamma      RP(P), Gamma    FALSE #> 2499   157 0.9592753 0.181238490  fv      Gamma      RP(P), Gamma    FALSE #> 2515   158 0.9946384 0.187427777  fv      Gamma      RP(P), Gamma    FALSE #> 2531   159 0.5061336 0.100702406  fv      Gamma      RP(P), Gamma    FALSE #> 2547   160 0.5671472 0.110846444  fv      Gamma      RP(P), Gamma    FALSE #> 2563   161 1.1633775 0.212438568  fv      Gamma      RP(P), Gamma     TRUE #> 2579   162 0.6706864 0.130117295  fv      Gamma      RP(P), Gamma    FALSE #> 2595   163 0.5941737 0.115420188  fv      Gamma      RP(P), Gamma    FALSE #> 2611   164        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 2627   165 0.7721841 0.145456395  fv      Gamma      RP(P), Gamma    FALSE #> 2643   166 0.7965391 0.153433961  fv      Gamma      RP(P), Gamma    FALSE #> 2659   167 0.8767056 0.163672379  fv      Gamma      RP(P), Gamma    FALSE #> 2675   168 0.9296400 0.172682823  fv      Gamma      RP(P), Gamma    FALSE #> 2691   169 0.7003157 0.134657034  fv      Gamma      RP(P), Gamma    FALSE #> 2707   170 0.6969487 0.133752385  fv      Gamma      RP(P), Gamma    FALSE #> 2723   171 0.6804580 0.132041501  fv      Gamma      RP(P), Gamma    FALSE #> 2739   172 0.8676534 0.162110574  fv      Gamma      RP(P), Gamma    FALSE #> 2755   173 0.6007524 0.117520007  fv      Gamma      RP(P), Gamma    FALSE #> 2771   174 0.8205264 0.155211088  fv      Gamma      RP(P), Gamma    FALSE #> 2787   175 0.6411124 0.124482470  fv      Gamma      RP(P), Gamma    FALSE #> 2803   176 0.6685131 0.127629256  fv      Gamma      RP(P), Gamma    FALSE #> 2819   177 0.5612191 0.111324967  fv      Gamma      RP(P), Gamma    FALSE #> 2835   178 0.8696153 0.161721652  fv      Gamma      RP(P), Gamma    FALSE #> 2851   179 0.5719307 0.111038706  fv      Gamma      RP(P), Gamma    FALSE #> 2867   180 0.7498661 0.145859719  fv      Gamma      RP(P), Gamma    FALSE #> 2883   181 0.8342400 0.156449843  fv      Gamma      RP(P), Gamma    FALSE #> 2899   182 0.7307317 0.138530913  fv      Gamma      RP(P), Gamma    FALSE #> 2915   183 0.5660622 0.110296482  fv      Gamma      RP(P), Gamma    FALSE #> 2931   184 0.6722313 0.130153600  fv      Gamma      RP(P), Gamma    FALSE #> 2947   185 0.8576717 0.161343877  fv      Gamma      RP(P), Gamma    FALSE #> 2963   186 0.9062698 0.173016643  fv      Gamma      RP(P), Gamma    FALSE #> 2979   187 0.7414907 0.141220753  fv      Gamma      RP(P), Gamma    FALSE #> 2995   188 0.5549364 0.108588007  fv      Gamma      RP(P), Gamma    FALSE #> 3011   189        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 3027   190 0.7746357 0.145922206  fv      Gamma      RP(P), Gamma    FALSE #> 3043   191 0.7551856 0.142985236  fv      Gamma      RP(P), Gamma    FALSE #> 3059   192 0.7775915 0.150107716  fv      Gamma      RP(P), Gamma    FALSE #> 3075   193 0.6430137 0.124203106  fv      Gamma      RP(P), Gamma    FALSE #> 3091   194 0.5962792 0.115366357  fv      Gamma      RP(P), Gamma    FALSE #> 3107   195 0.8757453 0.162926509  fv      Gamma      RP(P), Gamma    FALSE #> 3123   196 0.8185691 0.154828956  fv      Gamma      RP(P), Gamma    FALSE #> 3139   197 0.7523839 0.141992354  fv      Gamma      RP(P), Gamma    FALSE #> 3155   198 0.7791112 0.146503900  fv      Gamma      RP(P), Gamma    FALSE #> 3171   199 0.5594019 0.109474490  fv      Gamma      RP(P), Gamma    FALSE #> 3187   200 0.8269718 0.154676067  fv      Gamma      RP(P), Gamma    FALSE #> 3203   201 0.7421167 0.141738015  fv      Gamma      RP(P), Gamma    FALSE #> 3219   202 0.7899331 0.148298132  fv      Gamma      RP(P), Gamma    FALSE #> 3235   203 0.7402666 0.139639494  fv      Gamma      RP(P), Gamma    FALSE #> 3251   204 0.7440994 0.145413762  fv      Gamma      RP(P), Gamma    FALSE #> 3267   205 0.5970540 0.116504438  fv      Gamma      RP(P), Gamma    FALSE #> 3283   206 0.7403789 0.140695149  fv      Gamma      RP(P), Gamma    FALSE #> 3299   207 0.5683539 0.111182081  fv      Gamma      RP(P), Gamma    FALSE #> 3315   208 0.7459009 0.142060451  fv      Gamma      RP(P), Gamma    FALSE #> 3331   209 0.6797062 0.130454189  fv      Gamma      RP(P), Gamma    FALSE #> 3347   210 0.6908023 0.133192700  fv      Gamma      RP(P), Gamma    FALSE #> 3363   211 0.9814670 0.185180252  fv      Gamma      RP(P), Gamma    FALSE #> 3379   212 0.7275717 0.141752091  fv      Gamma      RP(P), Gamma    FALSE #> 3395   213 0.8195451 0.155112422  fv      Gamma      RP(P), Gamma    FALSE #> 3411   214 0.6510424 0.125935368  fv      Gamma      RP(P), Gamma    FALSE #> 3427   215 0.8809648 0.164847839  fv      Gamma      RP(P), Gamma    FALSE #> 3443   216 0.9160453 0.170696980  fv      Gamma      RP(P), Gamma    FALSE #> 3459   217 0.6786443 0.131436644  fv      Gamma      RP(P), Gamma    FALSE #> 3475   218 0.6130170 0.119462464  fv      Gamma      RP(P), Gamma    FALSE #> 3491   219 0.8587860 0.162940219  fv      Gamma      RP(P), Gamma    FALSE #> 3507   220 0.5645745 0.110301667  fv      Gamma      RP(P), Gamma    FALSE #> 3523   221 0.7121007 0.136949273  fv      Gamma      RP(P), Gamma    FALSE #> 3539   222 0.7729783 0.147339017  fv      Gamma      RP(P), Gamma    FALSE #> 3555   223 0.7974666 0.154576435  fv      Gamma      RP(P), Gamma    FALSE #> 3571   224 0.7615940 0.144773736  fv      Gamma      RP(P), Gamma    FALSE #> 3587   225 0.6728903 0.129293781  fv      Gamma      RP(P), Gamma    FALSE #> 3603   226 0.8358787 0.160645352  fv      Gamma      RP(P), Gamma    FALSE #> 3619   227 0.6563351 0.126951384  fv      Gamma      RP(P), Gamma    FALSE #> 3635   228 0.8883501 0.165539138  fv      Gamma      RP(P), Gamma    FALSE #> 3651   229 0.7794882 0.147653006  fv      Gamma      RP(P), Gamma    FALSE #> 3667   230 0.7046264 0.134302636  fv      Gamma      RP(P), Gamma    FALSE #> 3683   231 0.7995473 0.151758843  fv      Gamma      RP(P), Gamma    FALSE #> 3699   232 0.7343045 0.142360273  fv      Gamma      RP(P), Gamma    FALSE #> 3715   233 0.8751457 0.164490904  fv      Gamma      RP(P), Gamma    FALSE #> 3731   234 0.6297026 0.121422242  fv      Gamma      RP(P), Gamma    FALSE #> 3747   235 0.7447860 0.143473450  fv      Gamma      RP(P), Gamma    FALSE #> 3763   236 0.4983589 0.099237135  fv      Gamma      RP(P), Gamma    FALSE #> 3779   237 0.6746635 0.131114127  fv      Gamma      RP(P), Gamma    FALSE #> 3795   238 0.5865575 0.115419368  fv      Gamma      RP(P), Gamma    FALSE #> 3811   239 0.7115553 0.134845742  fv      Gamma      RP(P), Gamma    FALSE #> 3827   240 0.8624671 0.164706486  fv      Gamma      RP(P), Gamma    FALSE #> 3843   241 0.6575508 0.126415736  fv      Gamma      RP(P), Gamma    FALSE #> 3859   242 0.5155896 0.101988080  fv      Gamma      RP(P), Gamma    FALSE #> 3875   243 0.8672063 0.167331273  fv      Gamma      RP(P), Gamma    FALSE #> 3891   244 0.5652190 0.110299698  fv      Gamma      RP(P), Gamma    FALSE #> 3907   245 0.9099031 0.170615102  fv      Gamma      RP(P), Gamma    FALSE #> 3923   246 0.6715121 0.128245541  fv      Gamma      RP(P), Gamma    FALSE #> 3939   247 0.7666596 0.145481254  fv      Gamma      RP(P), Gamma    FALSE #> 3955   248 0.9441329 0.174552266  fv      Gamma      RP(P), Gamma    FALSE #> 3971   249 0.9565287 0.180161217  fv      Gamma      RP(P), Gamma    FALSE #> 3987   250 0.7319608 0.140182669  fv      Gamma      RP(P), Gamma    FALSE #> 4003   251 0.7972592 0.153143991  fv      Gamma      RP(P), Gamma    FALSE #> 4019   252 0.8050622 0.154700370  fv      Gamma      RP(P), Gamma    FALSE #> 4035   253 0.9078567 0.176560322  fv      Gamma      RP(P), Gamma    FALSE #> 4051   254 0.5209792 0.102295614  fv      Gamma      RP(P), Gamma    FALSE #> 4067   255 0.7747142 0.145325614  fv      Gamma      RP(P), Gamma    FALSE #> 4083   256 0.7249451 0.138771215  fv      Gamma      RP(P), Gamma    FALSE #> 4099   257 0.5361170 0.104550822  fv      Gamma      RP(P), Gamma    FALSE #> 4115   258 0.7026252 0.139222844  fv      Gamma      RP(P), Gamma    FALSE #> 4131   259 0.7429085 0.141357296  fv      Gamma      RP(P), Gamma    FALSE #> 4147   260        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 4163   261 0.4996380 0.098593653  fv      Gamma      RP(P), Gamma    FALSE #> 4179   262 0.7307282 0.140705499  fv      Gamma      RP(P), Gamma    FALSE #> 4195   263 0.6060010 0.118004035  fv      Gamma      RP(P), Gamma    FALSE #> 4211   264 0.5116451 0.100491965  fv      Gamma      RP(P), Gamma    FALSE #> 4227   265 0.5946271 0.114842799  fv      Gamma      RP(P), Gamma    FALSE #> 4243   266 0.6163830 0.118942533  fv      Gamma      RP(P), Gamma    FALSE #> 4259   267 0.7102904 0.136036062  fv      Gamma      RP(P), Gamma    FALSE #> 4275   268 0.7470312 0.141482234  fv      Gamma      RP(P), Gamma    FALSE #> 4291   269 1.0631565 0.199380875  fv      Gamma      RP(P), Gamma     TRUE #> 4307   270 0.9061584 0.174043080  fv      Gamma      RP(P), Gamma    FALSE #> 4323   271 0.8927398 0.167378590  fv      Gamma      RP(P), Gamma    FALSE #> 4339   272 0.5411831 0.106864266  fv      Gamma      RP(P), Gamma    FALSE #> 4355   273 0.6638746 0.128232822  fv      Gamma      RP(P), Gamma    FALSE #> 4371   274 0.7225398 0.137091182  fv      Gamma      RP(P), Gamma    FALSE #> 4387   275 0.8562018 0.159672512  fv      Gamma      RP(P), Gamma    FALSE #> 4403   276 0.8120395 0.156356817  fv      Gamma      RP(P), Gamma    FALSE #> 4419   277 0.6780585 0.129342060  fv      Gamma      RP(P), Gamma    FALSE #> 4435   278 0.7362699 0.139418618  fv      Gamma      RP(P), Gamma    FALSE #> 4451   279 0.7312040 0.138791432  fv      Gamma      RP(P), Gamma    FALSE #> 4467   280 0.7617472 0.144139706  fv      Gamma      RP(P), Gamma    FALSE #> 4483   281 1.0239004 0.192140750  fv      Gamma      RP(P), Gamma     TRUE #> 4499   282 0.6014472 0.116810971  fv      Gamma      RP(P), Gamma    FALSE #> 4515   283 0.8070494 0.156406698  fv      Gamma      RP(P), Gamma    FALSE #> 4531   284 0.6547454 0.125591638  fv      Gamma      RP(P), Gamma    FALSE #> 4547   285 0.5017963 0.099125117  fv      Gamma      RP(P), Gamma    FALSE #> 4563   286 0.7664404 0.145194703  fv      Gamma      RP(P), Gamma    FALSE #> 4579   287 0.6417145 0.124295516  fv      Gamma      RP(P), Gamma    FALSE #> 4595   288 1.2160035 0.222504503  fv      Gamma      RP(P), Gamma     TRUE #> 4611   289 0.6310461 0.122257396  fv      Gamma      RP(P), Gamma    FALSE #> 4627   290 0.5976140 0.116077104  fv      Gamma      RP(P), Gamma    FALSE #> 4643   291 0.6144723 0.119062165  fv      Gamma      RP(P), Gamma    FALSE #> 4659   292 0.6279208 0.121314205  fv      Gamma      RP(P), Gamma    FALSE #> 4675   293 0.8865261 0.166337950  fv      Gamma      RP(P), Gamma    FALSE #> 4691   294 0.6338803 0.122601043  fv      Gamma      RP(P), Gamma    FALSE #> 4707   295 1.0653819 0.195613485  fv      Gamma      RP(P), Gamma     TRUE #> 4723   296 0.7351061 0.140428978  fv      Gamma      RP(P), Gamma    FALSE #> 4739   297        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 4755   298 0.5714635 0.111383939  fv      Gamma      RP(P), Gamma    FALSE #> 4771   299 0.5687379 0.111502873  fv      Gamma      RP(P), Gamma    FALSE #> 4787   300 0.8507623 0.158735467  fv      Gamma      RP(P), Gamma    FALSE #> 4803   301 0.5324432 0.104591380  fv      Gamma      RP(P), Gamma    FALSE #> 4819   302 0.7542968 0.142000299  fv      Gamma      RP(P), Gamma    FALSE #> 4835   303 0.6702254 0.129544084  fv      Gamma      RP(P), Gamma    FALSE #> 4851   304 0.7359526 0.140947337  fv      Gamma      RP(P), Gamma    FALSE #> 4867   305 0.8686497 0.162388264  fv      Gamma      RP(P), Gamma    FALSE #> 4883   306 0.7459705 0.141847704  fv      Gamma      RP(P), Gamma    FALSE #> 4899   307 0.7645224 0.146818849  fv      Gamma      RP(P), Gamma    FALSE #> 4915   308 0.6534080 0.125521136  fv      Gamma      RP(P), Gamma    FALSE #> 4931   309 0.7355909 0.139210502  fv      Gamma      RP(P), Gamma    FALSE #> 4947   310        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 4963   311 0.8223787 0.154504491  fv      Gamma      RP(P), Gamma    FALSE #> 4979   312 1.1338355 0.215053067  fv      Gamma      RP(P), Gamma     TRUE #> 4995   313 0.7878946 0.148828816  fv      Gamma      RP(P), Gamma    FALSE #> 5011   314 0.6331384 0.122483624  fv      Gamma      RP(P), Gamma    FALSE #> 5027   315 0.7590237 0.143303796  fv      Gamma      RP(P), Gamma    FALSE #> 5043   316 1.0456069 0.192281909  fv      Gamma      RP(P), Gamma     TRUE #> 5059   317 0.6438263 0.124298460  fv      Gamma      RP(P), Gamma    FALSE #> 5075   318 0.8458746 0.163143415  fv      Gamma      RP(P), Gamma    FALSE #> 5091   319 0.6167836 0.119519907  fv      Gamma      RP(P), Gamma    FALSE #> 5107   320 0.6054894 0.117299351  fv      Gamma      RP(P), Gamma    FALSE #> 5123   321 0.8581595 0.161575543  fv      Gamma      RP(P), Gamma    FALSE #> 5139   322 0.5470126 0.107569123  fv      Gamma      RP(P), Gamma    FALSE #> 5155   323 0.8521730 0.159824438  fv      Gamma      RP(P), Gamma    FALSE #> 5171   324 0.6293737 0.123041276  fv      Gamma      RP(P), Gamma    FALSE #> 5187   325 0.7351303 0.139660930  fv      Gamma      RP(P), Gamma    FALSE #> 5203   326 0.7037406 0.134539252  fv      Gamma      RP(P), Gamma    FALSE #> 5219   327 0.7573005 0.143468222  fv      Gamma      RP(P), Gamma    FALSE #> 5235   328 1.0260740 0.191722687  fv      Gamma      RP(P), Gamma     TRUE #> 5251   329 0.8785208 0.166167340  fv      Gamma      RP(P), Gamma    FALSE #> 5267   330 0.6958925 0.133498433  fv      Gamma      RP(P), Gamma    FALSE #> 5283   331 0.8444511 0.157981839  fv      Gamma      RP(P), Gamma    FALSE #> 5299   332 0.5635456 0.111106954  fv      Gamma      RP(P), Gamma    FALSE #> 5315   333 0.5430382 0.106020576  fv      Gamma      RP(P), Gamma    FALSE #> 5331   334 0.9485748 0.174368602  fv      Gamma      RP(P), Gamma    FALSE #> 5347   335 0.7668800 0.145970993  fv      Gamma      RP(P), Gamma    FALSE #> 5363   336 0.4803202 0.096188584  fv      Gamma      RP(P), Gamma    FALSE #> 5379   337 0.6414976 0.124756829  fv      Gamma      RP(P), Gamma    FALSE #> 5395   338 0.6042093 0.116438825  fv      Gamma      RP(P), Gamma    FALSE #> 5411   339 0.8270540 0.156836453  fv      Gamma      RP(P), Gamma    FALSE #> 5427   340 0.7812948 0.153293387  fv      Gamma      RP(P), Gamma    FALSE #> 5443   341 0.5615693 0.109395593  fv      Gamma      RP(P), Gamma    FALSE #> 5459   342 0.4507156 0.089944670  fv      Gamma      RP(P), Gamma     TRUE #> 5475   343 0.6379126 0.123551359  fv      Gamma      RP(P), Gamma    FALSE #> 5491   344 0.9832700 0.184814008  fv      Gamma      RP(P), Gamma    FALSE #> 5507   345 0.8700732 0.163382934  fv      Gamma      RP(P), Gamma    FALSE #> 5523   346 0.7930586 0.148638590  fv      Gamma      RP(P), Gamma    FALSE #> 5539   347 0.7362875 0.139653656  fv      Gamma      RP(P), Gamma    FALSE #> 5555   348 0.9288355 0.172358490  fv      Gamma      RP(P), Gamma    FALSE #> 5571   349 0.8545774 0.160193152  fv      Gamma      RP(P), Gamma    FALSE #> 5587   350 0.8162435 0.153114319  fv      Gamma      RP(P), Gamma    FALSE #> 5603   351 0.8768429 0.168170983  fv      Gamma      RP(P), Gamma    FALSE #> 5619   352 0.7998651 0.154372925  fv      Gamma      RP(P), Gamma    FALSE #> 5635   353 0.5789433 0.113105924  fv      Gamma      RP(P), Gamma    FALSE #> 5651   354 0.7427434 0.141322244  fv      Gamma      RP(P), Gamma    FALSE #> 5667   355 0.8022031 0.150273181  fv      Gamma      RP(P), Gamma    FALSE #> 5683   356 0.8292656 0.158481791  fv      Gamma      RP(P), Gamma    FALSE #> 5699   357 0.6949861 0.132957253  fv      Gamma      RP(P), Gamma    FALSE #> 5715   358 0.6410077 0.122340318  fv      Gamma      RP(P), Gamma    FALSE #> 5731   359 0.6758443 0.133342092  fv      Gamma      RP(P), Gamma    FALSE #> 5747   360 0.6048735 0.117286870  fv      Gamma      RP(P), Gamma    FALSE #> 5763   361 0.9452275 0.179410146  fv      Gamma      RP(P), Gamma    FALSE #> 5779   362 0.4613285 0.091336265  fv      Gamma      RP(P), Gamma     TRUE #> 5795   363        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 5811   364 0.5305074 0.104571551  fv      Gamma      RP(P), Gamma    FALSE #> 5827   365 0.7692393 0.150826618  fv      Gamma      RP(P), Gamma    FALSE #> 5843   366 0.8281260 0.157369897  fv      Gamma      RP(P), Gamma    FALSE #> 5859   367 0.8879069 0.165562059  fv      Gamma      RP(P), Gamma    FALSE #> 5875   368 0.8819495 0.172077745  fv      Gamma      RP(P), Gamma    FALSE #> 5891   369 0.5571989 0.108663257  fv      Gamma      RP(P), Gamma    FALSE #> 5907   370 0.5240141 0.103230461  fv      Gamma      RP(P), Gamma    FALSE #> 5923   371 0.8850740 0.167914113  fv      Gamma      RP(P), Gamma    FALSE #> 5939   372 0.6292203 0.125493047  fv      Gamma      RP(P), Gamma    FALSE #> 5955   373 0.6711393 0.128355923  fv      Gamma      RP(P), Gamma    FALSE #> 5971   374 0.6330126 0.122222933  fv      Gamma      RP(P), Gamma    FALSE #> 5987   375 0.6232037 0.120619676  fv      Gamma      RP(P), Gamma    FALSE #> 6003   376 0.6709763 0.129346165  fv      Gamma      RP(P), Gamma    FALSE #> 6019   377 0.8081042 0.155740601  fv      Gamma      RP(P), Gamma    FALSE #> 6035   378 0.7807703 0.146835814  fv      Gamma      RP(P), Gamma    FALSE #> 6051   379 0.6489020 0.124780001  fv      Gamma      RP(P), Gamma    FALSE #> 6067   380 0.7690472 0.145653760  fv      Gamma      RP(P), Gamma    FALSE #> 6083   381 0.6655172 0.128470538  fv      Gamma      RP(P), Gamma    FALSE #> 6099   382 0.6834100 0.131022145  fv      Gamma      RP(P), Gamma    FALSE #> 6115   383 1.0199434 0.186627092  fv      Gamma      RP(P), Gamma     TRUE #> 6131   384 0.8425240 0.158501752  fv      Gamma      RP(P), Gamma    FALSE #> 6147   385 0.5435103 0.106298014  fv      Gamma      RP(P), Gamma    FALSE #> 6163   386 0.3974050 0.081499042  fv      Gamma      RP(P), Gamma     TRUE #> 6179   387 0.5426046 0.105687478  fv      Gamma      RP(P), Gamma    FALSE #> 6195   388 0.6611317 0.126806617  fv      Gamma      RP(P), Gamma    FALSE #> 6211   389 0.5349625 0.105162575  fv      Gamma      RP(P), Gamma    FALSE #> 6227   390 0.6059506 0.117577612  fv      Gamma      RP(P), Gamma    FALSE #> 6243   391 0.5031306 0.099223928  fv      Gamma      RP(P), Gamma    FALSE #> 6259   392 0.9247264 0.171447639  fv      Gamma      RP(P), Gamma    FALSE #> 6275   393 0.5799003 0.113309467  fv      Gamma      RP(P), Gamma    FALSE #> 6291   394 0.8923633 0.167756406  fv      Gamma      RP(P), Gamma    FALSE #> 6307   395 0.7025183 0.135296087  fv      Gamma      RP(P), Gamma    FALSE #> 6323   396 0.7120067 0.139386238  fv      Gamma      RP(P), Gamma    FALSE #> 6339   397 0.8245329 0.154169882  fv      Gamma      RP(P), Gamma    FALSE #> 6355   398 0.7714605 0.146465081  fv      Gamma      RP(P), Gamma    FALSE #> 6371   399 0.6201603 0.120225120  fv      Gamma      RP(P), Gamma    FALSE #> 6387   400 0.6674704 0.128448157  fv      Gamma      RP(P), Gamma    FALSE #> 6403   401 0.8591833 0.163558247  fv      Gamma      RP(P), Gamma    FALSE #> 6419   402 0.7237335 0.141496085  fv      Gamma      RP(P), Gamma    FALSE #> 6435   403 0.6842458 0.130528240  fv      Gamma      RP(P), Gamma    FALSE #> 6451   404 0.8914124 0.170001726  fv      Gamma      RP(P), Gamma    FALSE #> 6467   405 0.6372709 0.122209769  fv      Gamma      RP(P), Gamma    FALSE #> 6483   406 0.6333429 0.122577106  fv      Gamma      RP(P), Gamma    FALSE #> 6499   407 0.7540527 0.143640882  fv      Gamma      RP(P), Gamma    FALSE #> 6515   408 0.4838950 0.100461103  fv      Gamma      RP(P), Gamma    FALSE #> 6531   409 0.9146888 0.169439375  fv      Gamma      RP(P), Gamma    FALSE #> 6547   410 0.9330222 0.176834198  fv      Gamma      RP(P), Gamma    FALSE #> 6563   411 0.7883049 0.155697900  fv      Gamma      RP(P), Gamma    FALSE #> 6579   412 0.6774845 0.129576379  fv      Gamma      RP(P), Gamma    FALSE #> 6595   413 0.7116535 0.136948608  fv      Gamma      RP(P), Gamma    FALSE #> 6611   414 0.7132797 0.136232402  fv      Gamma      RP(P), Gamma    FALSE #> 6627   415 0.8286193 0.154693246  fv      Gamma      RP(P), Gamma    FALSE #> 6643   416 0.6156083 0.119284639  fv      Gamma      RP(P), Gamma    FALSE #> 6659   417 0.7087812 0.135096167  fv      Gamma      RP(P), Gamma    FALSE #> 6675   418 0.7293437 0.138932311  fv      Gamma      RP(P), Gamma    FALSE #> 6691   419 0.5997472 0.117475840  fv      Gamma      RP(P), Gamma    FALSE #> 6707   420 0.7993144 0.153914851  fv      Gamma      RP(P), Gamma    FALSE #> 6723   421 0.7797894 0.147239639  fv      Gamma      RP(P), Gamma    FALSE #> 6739   422 0.7196492 0.137084047  fv      Gamma      RP(P), Gamma    FALSE #> 6755   423 0.7782277 0.146884783  fv      Gamma      RP(P), Gamma    FALSE #> 6771   424 0.6735367 0.130483600  fv      Gamma      RP(P), Gamma    FALSE #> 6787   425 0.5438044 0.106872272  fv      Gamma      RP(P), Gamma    FALSE #> 6803   426 0.9765959 0.180951859  fv      Gamma      RP(P), Gamma    FALSE #> 6819   427 0.4342931 0.087816670  fv      Gamma      RP(P), Gamma     TRUE #> 6835   428        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 6851   429 0.6326812 0.122272867  fv      Gamma      RP(P), Gamma    FALSE #> 6867   430 0.5864832 0.114045582  fv      Gamma      RP(P), Gamma    FALSE #> 6883   431 0.8330418 0.156297552  fv      Gamma      RP(P), Gamma    FALSE #> 6899   432 0.5660420 0.111497263  fv      Gamma      RP(P), Gamma    FALSE #> 6915   433 0.7633897 0.146680676  fv      Gamma      RP(P), Gamma    FALSE #> 6931   434 0.9157854 0.169179334  fv      Gamma      RP(P), Gamma    FALSE #> 6947   435 0.6436417 0.123386611  fv      Gamma      RP(P), Gamma    FALSE #> 6963   436 0.8894330 0.168215631  fv      Gamma      RP(P), Gamma    FALSE #> 6979   437 0.6466005 0.124257627  fv      Gamma      RP(P), Gamma    FALSE #> 6995   438 0.4983309 0.099003740  fv      Gamma      RP(P), Gamma    FALSE #> 7011   439 0.6788690 0.131122725  fv      Gamma      RP(P), Gamma    FALSE #> 7027   440 0.6840970 0.130674970  fv      Gamma      RP(P), Gamma    FALSE #> 7043   441 0.4509432 0.090190377  fv      Gamma      RP(P), Gamma     TRUE #> 7059   442 0.8197896 0.153466848  fv      Gamma      RP(P), Gamma    FALSE #> 7075   443 0.4883504 0.097806334  fv      Gamma      RP(P), Gamma    FALSE #> 7091   444 0.6309643 0.121865041  fv      Gamma      RP(P), Gamma    FALSE #> 7107   445 0.8964975 0.172918156  fv      Gamma      RP(P), Gamma    FALSE #> 7123   446 0.7383350 0.140046750  fv      Gamma      RP(P), Gamma    FALSE #> 7139   447 0.7068869 0.134798962  fv      Gamma      RP(P), Gamma    FALSE #> 7155   448 0.7623019 0.144996154  fv      Gamma      RP(P), Gamma    FALSE #> 7171   449 0.8202607 0.153262713  fv      Gamma      RP(P), Gamma    FALSE #> 7187   450 0.6652518 0.127192030  fv      Gamma      RP(P), Gamma    FALSE #> 7203   451 0.7929428 0.149414357  fv      Gamma      RP(P), Gamma    FALSE #> 7219   452 0.5390468 0.106252035  fv      Gamma      RP(P), Gamma    FALSE #> 7235   453 0.7983611 0.149574089  fv      Gamma      RP(P), Gamma    FALSE #> 7251   454 0.6809155 0.133855974  fv      Gamma      RP(P), Gamma    FALSE #> 7267   455 0.7867915 0.148808687  fv      Gamma      RP(P), Gamma    FALSE #> 7283   456 0.8027674 0.151115965  fv      Gamma      RP(P), Gamma    FALSE #> 7299   457 0.7599211 0.143934714  fv      Gamma      RP(P), Gamma    FALSE #> 7315   458 0.8392784 0.158497506  fv      Gamma      RP(P), Gamma    FALSE #> 7331   459 0.6859136 0.132185682  fv      Gamma      RP(P), Gamma    FALSE #> 7347   460 0.5989569 0.116734400  fv      Gamma      RP(P), Gamma    FALSE #> 7363   461 0.7104775 0.136171002  fv      Gamma      RP(P), Gamma    FALSE #> 7379   462 0.9353550 0.176644991  fv      Gamma      RP(P), Gamma    FALSE #> 7395   463 0.5917203 0.113971563  fv      Gamma      RP(P), Gamma    FALSE #> 7411   464 0.5466129 0.108141319  fv      Gamma      RP(P), Gamma    FALSE #> 7427   465 0.6924133 0.132057038  fv      Gamma      RP(P), Gamma    FALSE #> 7443   466 0.8595890 0.164380309  fv      Gamma      RP(P), Gamma    FALSE #> 7459   467 0.8621341 0.162880467  fv      Gamma      RP(P), Gamma    FALSE #> 7475   468 0.5844938 0.113603790  fv      Gamma      RP(P), Gamma    FALSE #> 7491   469 0.7748601 0.149549630  fv      Gamma      RP(P), Gamma    FALSE #> 7507   470 0.7885976 0.148029828  fv      Gamma      RP(P), Gamma    FALSE #> 7523   471 0.6020256 0.116789527  fv      Gamma      RP(P), Gamma    FALSE #> 7539   472 0.7796100 0.146855855  fv      Gamma      RP(P), Gamma    FALSE #> 7555   473 0.6785752 0.130008471  fv      Gamma      RP(P), Gamma    FALSE #> 7571   474 0.6250698 0.122879162  fv      Gamma      RP(P), Gamma    FALSE #> 7587   475 1.1078072 0.208724589  fv      Gamma      RP(P), Gamma     TRUE #> 7603   476 0.5563729 0.109196239  fv      Gamma      RP(P), Gamma    FALSE #> 7619   477 0.8587266 0.160352193  fv      Gamma      RP(P), Gamma    FALSE #> 7635   478 0.6830960 0.131457533  fv      Gamma      RP(P), Gamma    FALSE #> 7651   479 0.8681593 0.162333605  fv      Gamma      RP(P), Gamma    FALSE #> 7667   480 0.7574428 0.144816517  fv      Gamma      RP(P), Gamma    FALSE #> 7683   481        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 7699   482 0.6266013 0.124370257  fv      Gamma      RP(P), Gamma    FALSE #> 7715   483 0.6528467 0.127306631  fv      Gamma      RP(P), Gamma    FALSE #> 7731   484 0.7127943 0.134930802  fv      Gamma      RP(P), Gamma    FALSE #> 7747   485 0.7125054 0.135276927  fv      Gamma      RP(P), Gamma    FALSE #> 7763   486 0.5687850 0.111413020  fv      Gamma      RP(P), Gamma    FALSE #> 7779   487 0.8243935 0.154600910  fv      Gamma      RP(P), Gamma    FALSE #> 7795   488 0.6812360 0.132703870  fv      Gamma      RP(P), Gamma    FALSE #> 7811   489 0.8845371 0.169323636  fv      Gamma      RP(P), Gamma    FALSE #> 7827   490 1.0653722 0.194660353  fv      Gamma      RP(P), Gamma     TRUE #> 7843   491 0.6826541 0.130776905  fv      Gamma      RP(P), Gamma    FALSE #> 7859   492 0.8235202 0.155848858  fv      Gamma      RP(P), Gamma    FALSE #> 7875   493 0.7768356 0.151524876  fv      Gamma      RP(P), Gamma    FALSE #> 7891   494 0.7218053 0.137841570  fv      Gamma      RP(P), Gamma    FALSE #> 7907   495 0.7695705 0.146521336  fv      Gamma      RP(P), Gamma    FALSE #> 7923   496 0.5166882 0.102399021  fv      Gamma      RP(P), Gamma    FALSE #> 7939   497 0.6627873 0.126766292  fv      Gamma      RP(P), Gamma    FALSE #> 7955   498 0.6342445 0.122728374  fv      Gamma      RP(P), Gamma    FALSE #> 7971   499 0.9374378 0.175338174  fv      Gamma      RP(P), Gamma    FALSE #> 7987   500 0.9019653 0.170409658  fv      Gamma      RP(P), Gamma    FALSE #> 8003   501 0.6962305 0.132980257  fv      Gamma      RP(P), Gamma    FALSE #> 8019   502 0.7603688 0.144250280  fv      Gamma      RP(P), Gamma    FALSE #> 8035   503 0.6803697 0.130734079  fv      Gamma      RP(P), Gamma    FALSE #> 8051   504 0.8753725 0.162673418  fv      Gamma      RP(P), Gamma    FALSE #> 8067   505 0.9260534 0.173473955  fv      Gamma      RP(P), Gamma    FALSE #> 8083   506 0.6660089 0.127478067  fv      Gamma      RP(P), Gamma    FALSE #> 8099   507 0.6217409 0.120696018  fv      Gamma      RP(P), Gamma    FALSE #> 8115   508 0.6657625 0.127882730  fv      Gamma      RP(P), Gamma    FALSE #> 8131   509 0.7035885 0.134122091  fv      Gamma      RP(P), Gamma    FALSE #> 8147   510 0.9153649 0.169975579  fv      Gamma      RP(P), Gamma    FALSE #> 8163   511 0.7435226 0.141999828  fv      Gamma      RP(P), Gamma    FALSE #> 8179   512 0.8092206 0.152504675  fv      Gamma      RP(P), Gamma    FALSE #> 8195   513 0.5970830 0.116342118  fv      Gamma      RP(P), Gamma    FALSE #> 8211   514 0.6584162 0.127259558  fv      Gamma      RP(P), Gamma    FALSE #> 8227   515 0.6218205 0.120288402  fv      Gamma      RP(P), Gamma    FALSE #> 8243   516 0.7564849 0.144835314  fv      Gamma      RP(P), Gamma    FALSE #> 8259   517 0.7866480 0.148609375  fv      Gamma      RP(P), Gamma    FALSE #> 8275   518 0.8554770 0.159037294  fv      Gamma      RP(P), Gamma    FALSE #> 8291   519 0.7052320 0.134728823  fv      Gamma      RP(P), Gamma    FALSE #> 8307   520 0.6204574 0.120158025  fv      Gamma      RP(P), Gamma    FALSE #> 8323   521 0.5621929 0.109422753  fv      Gamma      RP(P), Gamma    FALSE #> 8339   522 0.5443101 0.106427943  fv      Gamma      RP(P), Gamma    FALSE #> 8355   523 0.6711061 0.129798304  fv      Gamma      RP(P), Gamma    FALSE #> 8371   524 0.6038576 0.117617477  fv      Gamma      RP(P), Gamma    FALSE #> 8387   525 1.0537419 0.193004302  fv      Gamma      RP(P), Gamma     TRUE #> 8403   526 0.7616132 0.144330441  fv      Gamma      RP(P), Gamma    FALSE #> 8419   527 0.6897576 0.133491604  fv      Gamma      RP(P), Gamma    FALSE #> 8435   528 0.6067378 0.118097165  fv      Gamma      RP(P), Gamma    FALSE #> 8451   529 0.8534833 0.160118465  fv      Gamma      RP(P), Gamma    FALSE #> 8467   530 0.8925411 0.166714870  fv      Gamma      RP(P), Gamma    FALSE #> 8483   531 0.7934168 0.148589902  fv      Gamma      RP(P), Gamma    FALSE #> 8499   532 0.7905062 0.149455790  fv      Gamma      RP(P), Gamma    FALSE #> 8515   533 0.7295545 0.139010779  fv      Gamma      RP(P), Gamma    FALSE #> 8531   534 0.7802222 0.146683135  fv      Gamma      RP(P), Gamma    FALSE #> 8547   535 0.9550213 0.176657581  fv      Gamma      RP(P), Gamma    FALSE #> 8563   536 0.8285902 0.154754825  fv      Gamma      RP(P), Gamma    FALSE #> 8579   537 0.7142590 0.139710304  fv      Gamma      RP(P), Gamma    FALSE #> 8595   538 0.6242860 0.121665242  fv      Gamma      RP(P), Gamma    FALSE #> 8611   539 0.8641128 0.161545364  fv      Gamma      RP(P), Gamma    FALSE #> 8627   540 0.7678492 0.149811233  fv      Gamma      RP(P), Gamma    FALSE #> 8643   541 0.6289813 0.122609687  fv      Gamma      RP(P), Gamma    FALSE #> 8659   542 0.8359050 0.157109048  fv      Gamma      RP(P), Gamma    FALSE #> 8675   543 0.9027601 0.167995185  fv      Gamma      RP(P), Gamma    FALSE #> 8691   544 0.8244925 0.154618216  fv      Gamma      RP(P), Gamma    FALSE #> 8707   545 0.6980857 0.134268057  fv      Gamma      RP(P), Gamma    FALSE #> 8723   546 0.6933300 0.133073387  fv      Gamma      RP(P), Gamma    FALSE #> 8739   547        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 8755   548 0.6333770 0.125231052  fv      Gamma      RP(P), Gamma    FALSE #> 8771   549 0.8023245 0.153987219  fv      Gamma      RP(P), Gamma    FALSE #> 8787   550 0.8868958 0.173752332  fv      Gamma      RP(P), Gamma    FALSE #> 8803   551 0.7222047 0.137638041  fv      Gamma      RP(P), Gamma    FALSE #> 8819   552 0.5671938 0.111950384  fv      Gamma      RP(P), Gamma    FALSE #> 8835   553 0.5909826 0.115431956  fv      Gamma      RP(P), Gamma    FALSE #> 8851   554 0.6819668 0.131463459  fv      Gamma      RP(P), Gamma    FALSE #> 8867   555 0.5949893 0.116327674  fv      Gamma      RP(P), Gamma    FALSE #> 8883   556 0.5424623 0.106665952  fv      Gamma      RP(P), Gamma    FALSE #> 8899   557 1.1345537 0.209862447  fv      Gamma      RP(P), Gamma     TRUE #> 8915   558 0.8058485 0.152388030  fv      Gamma      RP(P), Gamma    FALSE #> 8931   559 0.6173724 0.122782335  fv      Gamma      RP(P), Gamma    FALSE #> 8947   560 0.7512495 0.143599104  fv      Gamma      RP(P), Gamma    FALSE #> 8963   561 0.7585141 0.143155705  fv      Gamma      RP(P), Gamma    FALSE #> 8979   562 0.4484573 0.089532416  fv      Gamma      RP(P), Gamma     TRUE #> 8995   563 0.7698720 0.146396748  fv      Gamma      RP(P), Gamma    FALSE #> 9011   564 0.7607873 0.143322348  fv      Gamma      RP(P), Gamma    FALSE #> 9027   565 0.8222472 0.159236501  fv      Gamma      RP(P), Gamma    FALSE #> 9043   566 0.8548495 0.160429756  fv      Gamma      RP(P), Gamma    FALSE #> 9059   567 0.7245818 0.138376691  fv      Gamma      RP(P), Gamma    FALSE #> 9075   568 0.7931173 0.152597975  fv      Gamma      RP(P), Gamma    FALSE #> 9091   569 0.6850610 0.133116653  fv      Gamma      RP(P), Gamma    FALSE #> 9107   570        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 9123   571 0.7549228 0.142914728  fv      Gamma      RP(P), Gamma    FALSE #> 9139   572 0.8278657 0.154426950  fv      Gamma      RP(P), Gamma    FALSE #> 9155   573 0.5344300 0.105884223  fv      Gamma      RP(P), Gamma    FALSE #> 9171   574 0.8527038 0.162694626  fv      Gamma      RP(P), Gamma    FALSE #> 9187   575 0.7057682 0.134947723  fv      Gamma      RP(P), Gamma    FALSE #> 9203   576 0.7448504 0.142986350  fv      Gamma      RP(P), Gamma    FALSE #> 9219   577 0.6324739 0.122708071  fv      Gamma      RP(P), Gamma    FALSE #> 9235   578 0.6535771 0.125371078  fv      Gamma      RP(P), Gamma    FALSE #> 9251   579 0.6463148 0.124602683  fv      Gamma      RP(P), Gamma    FALSE #> 9267   580 0.6122098 0.118229398  fv      Gamma      RP(P), Gamma    FALSE #> 9283   581 0.8581943 0.160096945  fv      Gamma      RP(P), Gamma    FALSE #> 9299   582 0.4255333 0.084857238  fv      Gamma      RP(P), Gamma     TRUE #> 9315   583 0.7830994 0.147615332  fv      Gamma      RP(P), Gamma    FALSE #> 9331   584 0.6297757 0.122421778  fv      Gamma      RP(P), Gamma    FALSE #> 9347   585 1.1118116 0.202600547  fv      Gamma      RP(P), Gamma     TRUE #> 9363   586        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 9379   587 0.7835051 0.147939858  fv      Gamma      RP(P), Gamma    FALSE #> 9395   588 0.7974640 0.152143429  fv      Gamma      RP(P), Gamma    FALSE #> 9411   589 0.5862546 0.114190230  fv      Gamma      RP(P), Gamma    FALSE #> 9427   590 0.6735269 0.129506738  fv      Gamma      RP(P), Gamma    FALSE #> 9443   591 0.7163856 0.137360805  fv      Gamma      RP(P), Gamma    FALSE #> 9459   592 0.8887836 0.165763416  fv      Gamma      RP(P), Gamma    FALSE #> 9475   593 0.6961761 0.136894275  fv      Gamma      RP(P), Gamma    FALSE #> 9491   594 0.7225011 0.139237787  fv      Gamma      RP(P), Gamma    FALSE #> 9507   595 0.7110869 0.135311991  fv      Gamma      RP(P), Gamma    FALSE #> 9523   596 0.8419027 0.157392494  fv      Gamma      RP(P), Gamma    FALSE #> 9539   597 0.9726863 0.183877561  fv      Gamma      RP(P), Gamma    FALSE #> 9555   598 0.7321676 0.138931246  fv      Gamma      RP(P), Gamma    FALSE #> 9571   599 1.0933409 0.198947458  fv      Gamma      RP(P), Gamma     TRUE #> 9587   600 0.9365142 0.172756965  fv      Gamma      RP(P), Gamma    FALSE #> 9603   601 0.6900339 0.131971647  fv      Gamma      RP(P), Gamma    FALSE #> 9619   602 0.8071034 0.154541397  fv      Gamma      RP(P), Gamma    FALSE #> 9635   603 0.6864634 0.131149003  fv      Gamma      RP(P), Gamma    FALSE #> 9651   604 0.8388411 0.164957900  fv      Gamma      RP(P), Gamma    FALSE #> 9667   605 0.8991808 0.170856264  fv      Gamma      RP(P), Gamma    FALSE #> 9683   606 0.7896722 0.149157106  fv      Gamma      RP(P), Gamma    FALSE #> 9699   607 0.6483373 0.125688013  fv      Gamma      RP(P), Gamma    FALSE #> 9715   608 0.8165667 0.153820340  fv      Gamma      RP(P), Gamma    FALSE #> 9731   609 0.8902387 0.166429149  fv      Gamma      RP(P), Gamma    FALSE #> 9747   610 0.7933518 0.149471334  fv      Gamma      RP(P), Gamma    FALSE #> 9763   611 0.6512893 0.125696501  fv      Gamma      RP(P), Gamma    FALSE #> 9779   612 0.8855873 0.165210328  fv      Gamma      RP(P), Gamma    FALSE #> 9795   613 0.7551929 0.143131416  fv      Gamma      RP(P), Gamma    FALSE #> 9811   614 0.7010086 0.134204870  fv      Gamma      RP(P), Gamma    FALSE #> 9827   615 0.6334929 0.122282301  fv      Gamma      RP(P), Gamma    FALSE #> 9843   616        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 9859   617 0.9807549 0.184785018  fv      Gamma      RP(P), Gamma    FALSE #> 9875   618 0.5779344 0.112517396  fv      Gamma      RP(P), Gamma    FALSE #> 9891   619 0.6355496 0.122741929  fv      Gamma      RP(P), Gamma    FALSE #> 9907   620 0.6841379 0.131439881  fv      Gamma      RP(P), Gamma    FALSE #> 9923   621 0.7994067 0.150798986  fv      Gamma      RP(P), Gamma    FALSE #> 9939   622 1.1226630 0.204596360  fv      Gamma      RP(P), Gamma     TRUE #> 9955   623 0.5592545 0.109014752  fv      Gamma      RP(P), Gamma    FALSE #> 9971   624 0.7146248 0.135617788  fv      Gamma      RP(P), Gamma    FALSE #> 9987   625 0.6678007 0.128544119  fv      Gamma      RP(P), Gamma    FALSE #> 10003  626 0.5438265 0.107223540  fv      Gamma      RP(P), Gamma    FALSE #> 10019  627 0.6402631 0.127929319  fv      Gamma      RP(P), Gamma    FALSE #> 10035  628 0.7161136 0.135821754  fv      Gamma      RP(P), Gamma    FALSE #> 10051  629 0.5761695 0.113413852  fv      Gamma      RP(P), Gamma    FALSE #> 10067  630 0.9265988 0.172078476  fv      Gamma      RP(P), Gamma    FALSE #> 10083  631 0.8463990 0.163840387  fv      Gamma      RP(P), Gamma    FALSE #> 10099  632 0.5918212 0.115253393  fv      Gamma      RP(P), Gamma    FALSE #> 10115  633 0.5392676 0.105659170  fv      Gamma      RP(P), Gamma    FALSE #> 10131  634 0.5612710 0.109666236  fv      Gamma      RP(P), Gamma    FALSE #> 10147  635 0.4758954 0.095277949  fv      Gamma      RP(P), Gamma    FALSE #> 10163  636 0.6850059 0.132963753  fv      Gamma      RP(P), Gamma    FALSE #> 10179  637 0.7534974 0.142630643  fv      Gamma      RP(P), Gamma    FALSE #> 10195  638 0.6156667 0.122944131  fv      Gamma      RP(P), Gamma    FALSE #> 10211  639 0.7024871 0.133973160  fv      Gamma      RP(P), Gamma    FALSE #> 10227  640 0.6138612 0.120005152  fv      Gamma      RP(P), Gamma    FALSE #> 10243  641 0.6687009 0.127792012  fv      Gamma      RP(P), Gamma    FALSE #> 10259  642 0.6827599 0.131499855  fv      Gamma      RP(P), Gamma    FALSE #> 10275  643 0.6416117 0.123916292  fv      Gamma      RP(P), Gamma    FALSE #> 10291  644 0.9303135 0.178541883  fv      Gamma      RP(P), Gamma    FALSE #> 10307  645 0.5072111 0.099892269  fv      Gamma      RP(P), Gamma    FALSE #> 10323  646 0.5770236 0.112923822  fv      Gamma      RP(P), Gamma    FALSE #> 10339  647 1.0987860 0.202063919  fv      Gamma      RP(P), Gamma     TRUE #> 10355  648 0.7249466 0.137273492  fv      Gamma      RP(P), Gamma    FALSE #> 10371  649 0.8361975 0.156905913  fv      Gamma      RP(P), Gamma    FALSE #> 10387  650 0.9657631 0.179386120  fv      Gamma      RP(P), Gamma    FALSE #> 10403  651 0.9480153 0.175508178  fv      Gamma      RP(P), Gamma    FALSE #> 10419  652 0.7609753 0.144403263  fv      Gamma      RP(P), Gamma    FALSE #> 10435  653 0.9390345 0.178175424  fv      Gamma      RP(P), Gamma    FALSE #> 10451  654 0.6071795 0.117910755  fv      Gamma      RP(P), Gamma    FALSE #> 10467  655 0.6768799 0.129452910  fv      Gamma      RP(P), Gamma    FALSE #> 10483  656 0.7872342 0.148934201  fv      Gamma      RP(P), Gamma    FALSE #> 10499  657 0.7155506 0.136779245  fv      Gamma      RP(P), Gamma    FALSE #> 10515  658 0.8186467 0.154783223  fv      Gamma      RP(P), Gamma    FALSE #> 10531  659 0.8561195 0.161384412  fv      Gamma      RP(P), Gamma    FALSE #> 10547  660 0.7969361 0.153486464  fv      Gamma      RP(P), Gamma    FALSE #> 10563  661 0.5847750 0.113459778  fv      Gamma      RP(P), Gamma    FALSE #> 10579  662 0.4491533 0.089376759  fv      Gamma      RP(P), Gamma     TRUE #> 10595  663 0.6583715 0.127150411  fv      Gamma      RP(P), Gamma    FALSE #> 10611  664 0.7245792 0.137191115  fv      Gamma      RP(P), Gamma    FALSE #> 10627  665 0.6935069 0.133446603  fv      Gamma      RP(P), Gamma    FALSE #> 10643  666 0.6789625 0.133210260  fv      Gamma      RP(P), Gamma    FALSE #> 10659  667        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 10675  668 0.8326042 0.159460222  fv      Gamma      RP(P), Gamma    FALSE #> 10691  669 0.5423378 0.106498804  fv      Gamma      RP(P), Gamma    FALSE #> 10707  670 0.8502685 0.162585636  fv      Gamma      RP(P), Gamma    FALSE #> 10723  671 0.8776545 0.164067176  fv      Gamma      RP(P), Gamma    FALSE #> 10739  672 0.6152927 0.119051797  fv      Gamma      RP(P), Gamma    FALSE #> 10755  673 0.6122459 0.117726094  fv      Gamma      RP(P), Gamma    FALSE #> 10771  674 0.9559380 0.181254051  fv      Gamma      RP(P), Gamma    FALSE #> 10787  675 0.6980390 0.132753824  fv      Gamma      RP(P), Gamma    FALSE #> 10803  676 0.5088804 0.102994006  fv      Gamma      RP(P), Gamma    FALSE #> 10819  677 0.6339165 0.121646475  fv      Gamma      RP(P), Gamma    FALSE #> 10835  678 0.8369559 0.157675553  fv      Gamma      RP(P), Gamma    FALSE #> 10851  679 0.9492848 0.176109260  fv      Gamma      RP(P), Gamma    FALSE #> 10867  680 0.6841460 0.135356905  fv      Gamma      RP(P), Gamma    FALSE #> 10883  681 0.5654321 0.110524762  fv      Gamma      RP(P), Gamma    FALSE #> 10899  682 0.7617394 0.144044913  fv      Gamma      RP(P), Gamma    FALSE #> 10915  683 0.8624482 0.164333849  fv      Gamma      RP(P), Gamma    FALSE #> 10931  684 0.9321014 0.172684748  fv      Gamma      RP(P), Gamma    FALSE #> 10947  685 0.6441355 0.123847642  fv      Gamma      RP(P), Gamma    FALSE #> 10963  686 0.5512106 0.108266248  fv      Gamma      RP(P), Gamma    FALSE #> 10979  687        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 10995  688 0.7248728 0.137856421  fv      Gamma      RP(P), Gamma    FALSE #> 11011  689 0.7052454 0.134429054  fv      Gamma      RP(P), Gamma    FALSE #> 11027  690        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11043  691        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11059  692 0.7287757 0.137960478  fv      Gamma      RP(P), Gamma    FALSE #> 11075  693 0.8591672 0.163147539  fv      Gamma      RP(P), Gamma    FALSE #> 11091  694 0.8546217 0.161886212  fv      Gamma      RP(P), Gamma    FALSE #> 11107  695 0.7359517 0.143204482  fv      Gamma      RP(P), Gamma    FALSE #> 11123  696 0.7274184 0.140975651  fv      Gamma      RP(P), Gamma    FALSE #> 11139  697 0.7343352 0.139432429  fv      Gamma      RP(P), Gamma    FALSE #> 11155  698 0.7107206 0.135622115  fv      Gamma      RP(P), Gamma    FALSE #> 11171  699 0.7219693 0.136624664  fv      Gamma      RP(P), Gamma    FALSE #> 11187  700        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11203  701 0.6390749 0.122901167  fv      Gamma      RP(P), Gamma    FALSE #> 11219  702 0.7207084 0.141765393  fv      Gamma      RP(P), Gamma    FALSE #> 11235  703 0.5731972 0.112301241  fv      Gamma      RP(P), Gamma    FALSE #> 11251  704 0.9050465 0.167387536  fv      Gamma      RP(P), Gamma    FALSE #> 11267  705 0.9729034 0.179704350  fv      Gamma      RP(P), Gamma    FALSE #> 11283  706 0.7510740 0.142142712  fv      Gamma      RP(P), Gamma    FALSE #> 11299  707 0.5762848 0.113425276  fv      Gamma      RP(P), Gamma    FALSE #> 11315  708 0.8182433 0.157478515  fv      Gamma      RP(P), Gamma    FALSE #> 11331  709 0.7488299 0.141777904  fv      Gamma      RP(P), Gamma    FALSE #> 11347  710 0.7464753 0.140839219  fv      Gamma      RP(P), Gamma    FALSE #> 11363  711 0.3895724 0.079456850  fv      Gamma      RP(P), Gamma     TRUE #> 11379  712 0.7226782 0.137898089  fv      Gamma      RP(P), Gamma    FALSE #> 11395  713 0.7579136 0.142711103  fv      Gamma      RP(P), Gamma    FALSE #> 11411  714 0.8613708 0.165279895  fv      Gamma      RP(P), Gamma    FALSE #> 11427  715 0.9499191 0.176494223  fv      Gamma      RP(P), Gamma    FALSE #> 11443  716 0.8153731 0.154756057  fv      Gamma      RP(P), Gamma    FALSE #> 11459  717 0.6266283 0.125506065  fv      Gamma      RP(P), Gamma    FALSE #> 11475  718        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11491  719 0.6487120 0.124374007  fv      Gamma      RP(P), Gamma    FALSE #> 11507  720 0.6467946 0.124681595  fv      Gamma      RP(P), Gamma    FALSE #> 11523  721 0.8677451 0.163658213  fv      Gamma      RP(P), Gamma    FALSE #> 11539  722 0.8762603 0.164114507  fv      Gamma      RP(P), Gamma    FALSE #> 11555  723 0.7702204 0.149232323  fv      Gamma      RP(P), Gamma    FALSE #> 11571  724        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11587  725 0.6452807 0.123798465  fv      Gamma      RP(P), Gamma    FALSE #> 11603  726 0.6388286 0.124187802  fv      Gamma      RP(P), Gamma    FALSE #> 11619  727 0.8294437 0.158131813  fv      Gamma      RP(P), Gamma    FALSE #> 11635  728 0.5498798 0.110995415  fv      Gamma      RP(P), Gamma    FALSE #> 11651  729 0.7956737 0.149669575  fv      Gamma      RP(P), Gamma    FALSE #> 11667  730 0.9039416 0.172983881  fv      Gamma      RP(P), Gamma    FALSE #> 11683  731 0.9129412 0.170480535  fv      Gamma      RP(P), Gamma    FALSE #> 11699  732 0.8631376 0.160142721  fv      Gamma      RP(P), Gamma    FALSE #> 11715  733 0.5700636 0.111318610  fv      Gamma      RP(P), Gamma    FALSE #> 11731  734 0.5720887 0.111838652  fv      Gamma      RP(P), Gamma    FALSE #> 11747  735 0.7865514 0.148067100  fv      Gamma      RP(P), Gamma    FALSE #> 11763  736 0.8314412 0.159749066  fv      Gamma      RP(P), Gamma    FALSE #> 11779  737 0.7051831 0.134332472  fv      Gamma      RP(P), Gamma    FALSE #> 11795  738 0.6441563 0.129738565  fv      Gamma      RP(P), Gamma    FALSE #> 11811  739 0.6962830 0.133154711  fv      Gamma      RP(P), Gamma    FALSE #> 11827  740 0.6820458 0.130662984  fv      Gamma      RP(P), Gamma    FALSE #> 11843  741        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 11859  742 0.6129049 0.118716275  fv      Gamma      RP(P), Gamma    FALSE #> 11875  743 0.7773048 0.146924665  fv      Gamma      RP(P), Gamma    FALSE #> 11891  744 1.0015653 0.188279252  fv      Gamma      RP(P), Gamma    FALSE #> 11907  745 0.6374989 0.124833327  fv      Gamma      RP(P), Gamma    FALSE #> 11923  746 0.4555035 0.091061162  fv      Gamma      RP(P), Gamma     TRUE #> 11939  747 0.6241370 0.120584114  fv      Gamma      RP(P), Gamma    FALSE #> 11955  748 0.8319601 0.155303605  fv      Gamma      RP(P), Gamma    FALSE #> 11971  749 0.6239035 0.120784818  fv      Gamma      RP(P), Gamma    FALSE #> 11987  750 0.5559165 0.108448974  fv      Gamma      RP(P), Gamma    FALSE #> 12003  751 0.9025966 0.167345296  fv      Gamma      RP(P), Gamma    FALSE #> 12019  752 0.8153572 0.153739062  fv      Gamma      RP(P), Gamma    FALSE #> 12035  753 0.6272796 0.122999496  fv      Gamma      RP(P), Gamma    FALSE #> 12051  754 0.7630634 0.144501360  fv      Gamma      RP(P), Gamma    FALSE #> 12067  755 0.7765286 0.147048699  fv      Gamma      RP(P), Gamma    FALSE #> 12083  756 1.1339230 0.205593685  fv      Gamma      RP(P), Gamma     TRUE #> 12099  757 0.6148180 0.119394869  fv      Gamma      RP(P), Gamma    FALSE #> 12115  758 0.5432530 0.106690499  fv      Gamma      RP(P), Gamma    FALSE #> 12131  759 0.6139540 0.118795452  fv      Gamma      RP(P), Gamma    FALSE #> 12147  760 0.6053061 0.117009343  fv      Gamma      RP(P), Gamma    FALSE #> 12163  761 0.7687177 0.146506742  fv      Gamma      RP(P), Gamma    FALSE #> 12179  762 0.6503456 0.125085698  fv      Gamma      RP(P), Gamma    FALSE #> 12195  763 0.6147158 0.119201346  fv      Gamma      RP(P), Gamma    FALSE #> 12211  764 0.7158499 0.137306674  fv      Gamma      RP(P), Gamma    FALSE #> 12227  765 0.7002176 0.134930951  fv      Gamma      RP(P), Gamma    FALSE #> 12243  766 0.5657031 0.110972938  fv      Gamma      RP(P), Gamma    FALSE #> 12259  767 0.7776944 0.147857952  fv      Gamma      RP(P), Gamma    FALSE #> 12275  768 0.7286661 0.138405976  fv      Gamma      RP(P), Gamma    FALSE #> 12291  769 0.8013336 0.150430910  fv      Gamma      RP(P), Gamma    FALSE #> 12307  770 0.5887824 0.116113997  fv      Gamma      RP(P), Gamma    FALSE #> 12323  771 0.5586792 0.109343864  fv      Gamma      RP(P), Gamma    FALSE #> 12339  772 0.8625072 0.165893739  fv      Gamma      RP(P), Gamma    FALSE #> 12355  773 0.6841501 0.132154034  fv      Gamma      RP(P), Gamma    FALSE #> 12371  774 0.7403145 0.140287332  fv      Gamma      RP(P), Gamma    FALSE #> 12387  775 0.9725393 0.183070759  fv      Gamma      RP(P), Gamma    FALSE #> 12403  776 0.7450303 0.140817496  fv      Gamma      RP(P), Gamma    FALSE #> 12419  777 0.6343648 0.122711321  fv      Gamma      RP(P), Gamma    FALSE #> 12435  778 0.7993270 0.151902110  fv      Gamma      RP(P), Gamma    FALSE #> 12451  779 0.8088646 0.152875106  fv      Gamma      RP(P), Gamma    FALSE #> 12467  780        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 12483  781 0.6087847 0.119407501  fv      Gamma      RP(P), Gamma    FALSE #> 12499  782 0.6605803 0.131867548  fv      Gamma      RP(P), Gamma    FALSE #> 12515  783 0.7750586 0.146132801  fv      Gamma      RP(P), Gamma    FALSE #> 12531  784 0.6495380 0.124443981  fv      Gamma      RP(P), Gamma    FALSE #> 12547  785 0.6407272 0.123198032  fv      Gamma      RP(P), Gamma    FALSE #> 12563  786 0.9000376 0.168714826  fv      Gamma      RP(P), Gamma    FALSE #> 12579  787 0.8111483 0.157542078  fv      Gamma      RP(P), Gamma    FALSE #> 12595  788 0.7380264 0.140992473  fv      Gamma      RP(P), Gamma    FALSE #> 12611  789 0.8476976 0.161406608  fv      Gamma      RP(P), Gamma    FALSE #> 12627  790 0.9024427 0.172655911  fv      Gamma      RP(P), Gamma    FALSE #> 12643  791 0.9430376 0.178166763  fv      Gamma      RP(P), Gamma    FALSE #> 12659  792 0.9351843 0.174085705  fv      Gamma      RP(P), Gamma    FALSE #> 12675  793 0.6732365 0.129192553  fv      Gamma      RP(P), Gamma    FALSE #> 12691  794 0.3859247 0.078027842  fv      Gamma      RP(P), Gamma     TRUE #> 12707  795 0.6998057 0.134561671  fv      Gamma      RP(P), Gamma    FALSE #> 12723  796 0.7919689 0.150058245  fv      Gamma      RP(P), Gamma    FALSE #> 12739  797 0.6275349 0.122051366  fv      Gamma      RP(P), Gamma    FALSE #> 12755  798 0.5850261 0.114219338  fv      Gamma      RP(P), Gamma    FALSE #> 12771  799 0.9191908 0.178128093  fv      Gamma      RP(P), Gamma    FALSE #> 12787  800 0.8922223 0.166340459  fv      Gamma      RP(P), Gamma    FALSE #> 12803  801 0.6043574 0.118347117  fv      Gamma      RP(P), Gamma    FALSE #> 12819  802 0.6171306 0.118894255  fv      Gamma      RP(P), Gamma    FALSE #> 12835  803 0.7658729 0.144480842  fv      Gamma      RP(P), Gamma    FALSE #> 12851  804 0.7889772 0.149222466  fv      Gamma      RP(P), Gamma    FALSE #> 12867  805 0.8005181 0.151346516  fv      Gamma      RP(P), Gamma    FALSE #> 12883  806 0.5808515 0.112939967  fv      Gamma      RP(P), Gamma    FALSE #> 12899  807 0.9661626 0.179076575  fv      Gamma      RP(P), Gamma    FALSE #> 12915  808 0.7042314 0.138042522  fv      Gamma      RP(P), Gamma    FALSE #> 12931  809 0.8734012 0.167819080  fv      Gamma      RP(P), Gamma    FALSE #> 12947  810 0.7531191 0.142535233  fv      Gamma      RP(P), Gamma    FALSE #> 12963  811 0.9776521 0.180079230  fv      Gamma      RP(P), Gamma    FALSE #> 12979  812 0.6756066 0.130110250  fv      Gamma      RP(P), Gamma    FALSE #> 12995  813 0.8547872 0.159923942  fv      Gamma      RP(P), Gamma    FALSE #> 13011  814 0.8478379 0.160402232  fv      Gamma      RP(P), Gamma    FALSE #> 13027  815 1.0381546 0.193586062  fv      Gamma      RP(P), Gamma     TRUE #> 13043  816 0.6065386 0.119016822  fv      Gamma      RP(P), Gamma    FALSE #> 13059  817 0.8312686 0.160699876  fv      Gamma      RP(P), Gamma    FALSE #> 13075  818 0.6723233 0.130326892  fv      Gamma      RP(P), Gamma    FALSE #> 13091  819 0.9040734 0.172206834  fv      Gamma      RP(P), Gamma    FALSE #> 13107  820 0.6626870 0.126985479  fv      Gamma      RP(P), Gamma    FALSE #> 13123  821 0.7749392 0.149228961  fv      Gamma      RP(P), Gamma    FALSE #> 13139  822 0.5198505 0.102096349  fv      Gamma      RP(P), Gamma    FALSE #> 13155  823 0.7135305 0.136903270  fv      Gamma      RP(P), Gamma    FALSE #> 13171  824 0.7431181 0.141763121  fv      Gamma      RP(P), Gamma    FALSE #> 13187  825 0.5631657 0.110129879  fv      Gamma      RP(P), Gamma    FALSE #> 13203  826 0.7061344 0.133539029  fv      Gamma      RP(P), Gamma    FALSE #> 13219  827 0.6528873 0.124927870  fv      Gamma      RP(P), Gamma    FALSE #> 13235  828 0.9604082 0.181879005  fv      Gamma      RP(P), Gamma    FALSE #> 13251  829 0.6024186 0.116726974  fv      Gamma      RP(P), Gamma    FALSE #> 13267  830 0.8517937 0.160118257  fv      Gamma      RP(P), Gamma    FALSE #> 13283  831 0.5413722 0.107776935  fv      Gamma      RP(P), Gamma    FALSE #> 13299  832 0.7271789 0.138304720  fv      Gamma      RP(P), Gamma    FALSE #> 13315  833 0.7249351 0.138256244  fv      Gamma      RP(P), Gamma    FALSE #> 13331  834 0.5385471 0.106479275  fv      Gamma      RP(P), Gamma    FALSE #> 13347  835 0.6823086 0.130247610  fv      Gamma      RP(P), Gamma    FALSE #> 13363  836 0.7231375 0.138611031  fv      Gamma      RP(P), Gamma    FALSE #> 13379  837 0.6984835 0.134825376  fv      Gamma      RP(P), Gamma    FALSE #> 13395  838 0.9073089 0.168321113  fv      Gamma      RP(P), Gamma    FALSE #> 13411  839 0.6372419 0.123018519  fv      Gamma      RP(P), Gamma    FALSE #> 13427  840 0.7448403 0.141879837  fv      Gamma      RP(P), Gamma    FALSE #> 13443  841 0.7244250 0.136804241  fv      Gamma      RP(P), Gamma    FALSE #> 13459  842 0.7297928 0.140145685  fv      Gamma      RP(P), Gamma    FALSE #> 13475  843 0.9415358 0.175690499  fv      Gamma      RP(P), Gamma    FALSE #> 13491  844 0.7608448 0.146469678  fv      Gamma      RP(P), Gamma    FALSE #> 13507  845 0.8961165 0.167892095  fv      Gamma      RP(P), Gamma    FALSE #> 13523  846 0.6313314 0.123796847  fv      Gamma      RP(P), Gamma    FALSE #> 13539  847 0.6408113 0.126385690  fv      Gamma      RP(P), Gamma    FALSE #> 13555  848 0.5258133 0.103834384  fv      Gamma      RP(P), Gamma    FALSE #> 13571  849 0.7230815 0.136689050  fv      Gamma      RP(P), Gamma    FALSE #> 13587  850 0.6668834 0.127661821  fv      Gamma      RP(P), Gamma    FALSE #> 13603  851 0.7700720 0.146643873  fv      Gamma      RP(P), Gamma    FALSE #> 13619  852 0.4635693 0.092359411  fv      Gamma      RP(P), Gamma    FALSE #> 13635  853 0.7474297 0.141513530  fv      Gamma      RP(P), Gamma    FALSE #> 13651  854 0.5512805 0.108040252  fv      Gamma      RP(P), Gamma    FALSE #> 13667  855 0.9322641 0.173321281  fv      Gamma      RP(P), Gamma    FALSE #> 13683  856 0.8130425 0.152735715  fv      Gamma      RP(P), Gamma    FALSE #> 13699  857 0.5913117 0.115856491  fv      Gamma      RP(P), Gamma    FALSE #> 13715  858 0.6348206 0.123095885  fv      Gamma      RP(P), Gamma    FALSE #> 13731  859 0.6829374 0.133973853  fv      Gamma      RP(P), Gamma    FALSE #> 13747  860 0.6630881 0.127449186  fv      Gamma      RP(P), Gamma    FALSE #> 13763  861 0.8296646 0.156284689  fv      Gamma      RP(P), Gamma    FALSE #> 13779  862 0.6256559 0.120163322  fv      Gamma      RP(P), Gamma    FALSE #> 13795  863 0.7547157 0.143508193  fv      Gamma      RP(P), Gamma    FALSE #> 13811  864 0.7274700 0.139329512  fv      Gamma      RP(P), Gamma    FALSE #> 13827  865 0.7915269 0.150148411  fv      Gamma      RP(P), Gamma    FALSE #> 13843  866 0.6938166 0.132710273  fv      Gamma      RP(P), Gamma    FALSE #> 13859  867 0.7270595 0.138558270  fv      Gamma      RP(P), Gamma    FALSE #> 13875  868 0.7646349 0.145030386  fv      Gamma      RP(P), Gamma    FALSE #> 13891  869 0.7412567 0.141031242  fv      Gamma      RP(P), Gamma    FALSE #> 13907  870 0.6928811 0.135884346  fv      Gamma      RP(P), Gamma    FALSE #> 13923  871        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 13939  872 0.8741667 0.164519963  fv      Gamma      RP(P), Gamma    FALSE #> 13955  873 0.8141794 0.152418868  fv      Gamma      RP(P), Gamma    FALSE #> 13971  874 1.0582781 0.201045860  fv      Gamma      RP(P), Gamma     TRUE #> 13987  875 0.6152695 0.118843687  fv      Gamma      RP(P), Gamma    FALSE #> 14003  876 0.6653659 0.127197470  fv      Gamma      RP(P), Gamma    FALSE #> 14019  877 0.7482744 0.141869490  fv      Gamma      RP(P), Gamma    FALSE #> 14035  878 0.7940041 0.152669508  fv      Gamma      RP(P), Gamma    FALSE #> 14051  879 0.7056140 0.139457238  fv      Gamma      RP(P), Gamma    FALSE #> 14067  880 0.9237356 0.171450639  fv      Gamma      RP(P), Gamma    FALSE #> 14083  881        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 14099  882 0.9622642 0.177419442  fv      Gamma      RP(P), Gamma    FALSE #> 14115  883 0.6122745 0.118943858  fv      Gamma      RP(P), Gamma    FALSE #> 14131  884 0.6036147 0.116254204  fv      Gamma      RP(P), Gamma    FALSE #> 14147  885 0.5917685 0.115023471  fv      Gamma      RP(P), Gamma    FALSE #> 14163  886 0.5903262 0.115035223  fv      Gamma      RP(P), Gamma    FALSE #> 14179  887 0.7178929 0.137358795  fv      Gamma      RP(P), Gamma    FALSE #> 14195  888 0.9596692 0.177126009  fv      Gamma      RP(P), Gamma    FALSE #> 14211  889 0.8047857 0.150574821  fv      Gamma      RP(P), Gamma    FALSE #> 14227  890 0.6195377 0.120542563  fv      Gamma      RP(P), Gamma    FALSE #> 14243  891 0.5142069 0.100991313  fv      Gamma      RP(P), Gamma    FALSE #> 14259  892 0.6862121 0.131311434  fv      Gamma      RP(P), Gamma    FALSE #> 14275  893 0.8301538 0.158225903  fv      Gamma      RP(P), Gamma    FALSE #> 14291  894 0.5690579 0.111132288  fv      Gamma      RP(P), Gamma    FALSE #> 14307  895 0.7646876 0.145255201  fv      Gamma      RP(P), Gamma    FALSE #> 14323  896 0.8736150 0.162750200  fv      Gamma      RP(P), Gamma    FALSE #> 14339  897 0.7174357 0.136603078  fv      Gamma      RP(P), Gamma    FALSE #> 14355  898 0.9077453 0.168301401  fv      Gamma      RP(P), Gamma    FALSE #> 14371  899 0.7703075 0.146578385  fv      Gamma      RP(P), Gamma    FALSE #> 14387  900 0.7968261 0.152992830  fv      Gamma      RP(P), Gamma    FALSE #> 14403  901 0.6041539 0.117492458  fv      Gamma      RP(P), Gamma    FALSE #> 14419  902 0.5806196 0.112757680  fv      Gamma      RP(P), Gamma    FALSE #> 14435  903 0.6449749 0.123830439  fv      Gamma      RP(P), Gamma    FALSE #> 14451  904 1.0648896 0.202836264  fv      Gamma      RP(P), Gamma     TRUE #> 14467  905 0.6172244 0.118612589  fv      Gamma      RP(P), Gamma    FALSE #> 14483  906 0.9307485 0.171739678  fv      Gamma      RP(P), Gamma    FALSE #> 14499  907 0.7212674 0.137324092  fv      Gamma      RP(P), Gamma    FALSE #> 14515  908 0.6557254 0.129913240  fv      Gamma      RP(P), Gamma    FALSE #> 14531  909 0.6191823 0.120399527  fv      Gamma      RP(P), Gamma    FALSE #> 14547  910 0.5543950 0.108411251  fv      Gamma      RP(P), Gamma    FALSE #> 14563  911 0.7093924 0.139027722  fv      Gamma      RP(P), Gamma    FALSE #> 14579  912 0.5474285 0.106437830  fv      Gamma      RP(P), Gamma    FALSE #> 14595  913 0.7027527 0.133771400  fv      Gamma      RP(P), Gamma    FALSE #> 14611  914 0.6350090 0.123912603  fv      Gamma      RP(P), Gamma    FALSE #> 14627  915 0.8877144 0.168402032  fv      Gamma      RP(P), Gamma    FALSE #> 14643  916 0.5324769 0.103993777  fv      Gamma      RP(P), Gamma    FALSE #> 14659  917 0.8257094 0.158306447  fv      Gamma      RP(P), Gamma    FALSE #> 14675  918 0.7822604 0.147161994  fv      Gamma      RP(P), Gamma    FALSE #> 14691  919 0.5649634 0.109871170  fv      Gamma      RP(P), Gamma    FALSE #> 14707  920 0.7581416 0.142890003  fv      Gamma      RP(P), Gamma    FALSE #> 14723  921 0.8239834 0.155853841  fv      Gamma      RP(P), Gamma    FALSE #> 14739  922 1.0610788 0.198654926  fv      Gamma      RP(P), Gamma     TRUE #> 14755  923 0.7195818 0.136933304  fv      Gamma      RP(P), Gamma    FALSE #> 14771  924 0.7698761 0.144921933  fv      Gamma      RP(P), Gamma    FALSE #> 14787  925 0.8687568 0.166258634  fv      Gamma      RP(P), Gamma    FALSE #> 14803  926 0.7069269 0.133988760  fv      Gamma      RP(P), Gamma    FALSE #> 14819  927 0.4598690 0.091786557  fv      Gamma      RP(P), Gamma    FALSE #> 14835  928 0.6924455 0.131790224  fv      Gamma      RP(P), Gamma    FALSE #> 14851  929        NA          NA  fv      Gamma      RP(P), Gamma       NA #> 14867  930 0.8848479 0.169540478  fv      Gamma      RP(P), Gamma    FALSE #> 14883  931 0.6753327 0.128916825  fv      Gamma      RP(P), Gamma    FALSE #> 14899  932 0.8372623 0.156313520  fv      Gamma      RP(P), Gamma    FALSE #> 14915  933 0.6307088 0.122091618  fv      Gamma      RP(P), Gamma    FALSE #> 14931  934 0.6027997 0.116538645  fv      Gamma      RP(P), Gamma    FALSE #> 14947  935 0.5052707 0.100596407  fv      Gamma      RP(P), Gamma    FALSE #> 14963  936 0.5930017 0.114762813  fv      Gamma      RP(P), Gamma    FALSE #> 14979  937 1.1060700 0.204812720  fv      Gamma      RP(P), Gamma     TRUE #> 14995  938 0.7900036 0.149577687  fv      Gamma      RP(P), Gamma    FALSE #> 15011  939 0.8269911 0.155312585  fv      Gamma      RP(P), Gamma    FALSE #> 15027  940 0.7651135 0.144304466  fv      Gamma      RP(P), Gamma    FALSE #> 15043  941 0.6356078 0.122487768  fv      Gamma      RP(P), Gamma    FALSE #> 15059  942 0.6473050 0.124922562  fv      Gamma      RP(P), Gamma    FALSE #> 15075  943 0.4807370 0.095724602  fv      Gamma      RP(P), Gamma    FALSE #> 15091  944 0.6194064 0.119154705  fv      Gamma      RP(P), Gamma    FALSE #> 15107  945 0.6175935 0.119838731  fv      Gamma      RP(P), Gamma    FALSE #> 15123  946 0.7670644 0.149036648  fv      Gamma      RP(P), Gamma    FALSE #> 15139  947 0.6811637 0.132119739  fv      Gamma      RP(P), Gamma    FALSE #> 15155  948 0.5151351 0.102962455  fv      Gamma      RP(P), Gamma    FALSE #> 15171  949 0.6194144 0.120993729  fv      Gamma      RP(P), Gamma    FALSE #> 15187  950 0.6245088 0.122145644  fv      Gamma      RP(P), Gamma    FALSE #> 15203  951 0.7155764 0.136307065  fv      Gamma      RP(P), Gamma    FALSE #> 15219  952 0.6737609 0.129729678  fv      Gamma      RP(P), Gamma    FALSE #> 15235  953 1.0941966 0.202309534  fv      Gamma      RP(P), Gamma     TRUE #> 15251  954 0.6752267 0.129373036  fv      Gamma      RP(P), Gamma    FALSE #> 15267  955 0.8191963 0.153734262  fv      Gamma      RP(P), Gamma    FALSE #> 15283  956 0.6642468 0.128557962  fv      Gamma      RP(P), Gamma    FALSE #> 15299  957 0.6334643 0.123008889  fv      Gamma      RP(P), Gamma    FALSE #> 15315  958 0.5365145 0.105276009  fv      Gamma      RP(P), Gamma    FALSE #> 15331  959 0.5981546 0.115741211  fv      Gamma      RP(P), Gamma    FALSE #> 15347  960 0.7820444 0.148491202  fv      Gamma      RP(P), Gamma    FALSE #> 15363  961 0.5120426 0.101261877  fv      Gamma      RP(P), Gamma    FALSE #> 15379  962 0.9039760 0.168664395  fv      Gamma      RP(P), Gamma    FALSE #> 15395  963 0.8351072 0.158257000  fv      Gamma      RP(P), Gamma    FALSE #> 15411  964 0.6922496 0.132776055  fv      Gamma      RP(P), Gamma    FALSE #> 15427  965 0.6365475 0.123530828  fv      Gamma      RP(P), Gamma    FALSE #> 15443  966 0.7682227 0.146838969  fv      Gamma      RP(P), Gamma    FALSE #> 15459  967 0.6676674 0.127821817  fv      Gamma      RP(P), Gamma    FALSE #> 15475  968 0.5625265 0.109741850  fv      Gamma      RP(P), Gamma    FALSE #> 15491  969 0.7509732 0.144589636  fv      Gamma      RP(P), Gamma    FALSE #> 15507  970 0.7023211 0.138688899  fv      Gamma      RP(P), Gamma    FALSE #> 15523  971 0.6365563 0.123319119  fv      Gamma      RP(P), Gamma    FALSE #> 15539  972 0.6556819 0.129732139  fv      Gamma      RP(P), Gamma    FALSE #> 15555  973 0.9647090 0.185057265  fv      Gamma      RP(P), Gamma    FALSE #> 15571  974 0.5263112 0.103972669  fv      Gamma      RP(P), Gamma    FALSE #> 15587  975 0.5028392 0.099877710  fv      Gamma      RP(P), Gamma    FALSE #> 15603  976 0.7556945 0.143837742  fv      Gamma      RP(P), Gamma    FALSE #> 15619  977 0.8499235 0.158553778  fv      Gamma      RP(P), Gamma    FALSE #> 15635  978 0.8299769 0.159832741  fv      Gamma      RP(P), Gamma    FALSE #> 15651  979 0.8153734 0.157312216  fv      Gamma      RP(P), Gamma    FALSE #> 15667  980 0.5361506 0.105128657  fv      Gamma      RP(P), Gamma    FALSE #> 15683  981 0.7147316 0.137951031  fv      Gamma      RP(P), Gamma    FALSE #> 15699  982 0.9684844 0.181555375  fv      Gamma      RP(P), Gamma    FALSE #> 15715  983 0.5330180 0.105260888  fv      Gamma      RP(P), Gamma    FALSE #> 15731  984 0.7522072 0.143060278  fv      Gamma      RP(P), Gamma    FALSE #> 15747  985 0.8205779 0.157882770  fv      Gamma      RP(P), Gamma    FALSE #> 15763  986 0.6120942 0.117431990  fv      Gamma      RP(P), Gamma    FALSE #> 15779  987 0.5490514 0.107616085  fv      Gamma      RP(P), Gamma    FALSE #> 15795  988 0.6296822 0.121481511  fv      Gamma      RP(P), Gamma    FALSE #> 15811  989 0.7954111 0.149703493  fv      Gamma      RP(P), Gamma    FALSE #> 15827  990 0.7113507 0.134852556  fv      Gamma      RP(P), Gamma    FALSE #> 15843  991 0.7586014 0.144688767  fv      Gamma      RP(P), Gamma    FALSE #> 15859  992 0.7789712 0.148678906  fv      Gamma      RP(P), Gamma    FALSE #> 15875  993 0.9452686 0.175283351  fv      Gamma      RP(P), Gamma    FALSE #> 15891  994 0.6625835 0.127525541  fv      Gamma      RP(P), Gamma    FALSE #> 15907  995 0.8179336 0.154628613  fv      Gamma      RP(P), Gamma    FALSE #> 15923  996 0.6698410 0.128532500  fv      Gamma      RP(P), Gamma    FALSE #> 15939  997 0.6029261 0.120579994  fv      Gamma      RP(P), Gamma    FALSE #> 15955  998 0.6444980 0.124308172  fv      Gamma      RP(P), Gamma    FALSE #> 15971  999 0.5097824 0.100070485  fv      Gamma      RP(P), Gamma    FALSE #> 15987 1000 0.5002252 0.099547221  fv      Gamma      RP(P), Gamma    FALSE #> 4        1 0.8410503 0.180489790  fv      Gamma RP(P), Log-Normal    FALSE #> 20       2 0.8678277 0.194181070  fv      Gamma RP(P), Log-Normal    FALSE #> 36       3 1.5656905 0.354448508  fv      Gamma RP(P), Log-Normal     TRUE #> 52       4 1.2089109 0.260522826  fv      Gamma RP(P), Log-Normal    FALSE #> 68       5 0.9105106 0.200479265  fv      Gamma RP(P), Log-Normal    FALSE #> 84       6 0.9727359 0.207142387  fv      Gamma RP(P), Log-Normal    FALSE #> 100      7 0.9091356 0.198318108  fv      Gamma RP(P), Log-Normal    FALSE #> 116      8 1.3377013 0.293288046  fv      Gamma RP(P), Log-Normal    FALSE #> 132      9 1.2350450 0.276016839  fv      Gamma RP(P), Log-Normal    FALSE #> 148     10 0.9974789 0.217294847  fv      Gamma RP(P), Log-Normal    FALSE #> 164     11 1.0414795 0.229502409  fv      Gamma RP(P), Log-Normal    FALSE #> 180     12 1.4499625 0.321000485  fv      Gamma RP(P), Log-Normal    FALSE #> 196     13 1.2289253 0.270499075  fv      Gamma RP(P), Log-Normal    FALSE #> 212     14 0.7903710 0.178471107  fv      Gamma RP(P), Log-Normal    FALSE #> 228     15 1.1996110 0.263087699  fv      Gamma RP(P), Log-Normal    FALSE #> 244     16 1.2290670 0.262683325  fv      Gamma RP(P), Log-Normal    FALSE #> 260     17 0.7668133 0.166707205  fv      Gamma RP(P), Log-Normal    FALSE #> 276     18 0.5614283 0.129201981  fv      Gamma RP(P), Log-Normal    FALSE #> 292     19 0.8973139 0.194570679  fv      Gamma RP(P), Log-Normal    FALSE #> 308     20 1.2979832 0.290290296  fv      Gamma RP(P), Log-Normal    FALSE #> 324     21 0.6887073 0.156427688  fv      Gamma RP(P), Log-Normal    FALSE #> 340     22 1.2170119 0.272426758  fv      Gamma RP(P), Log-Normal    FALSE #> 356     23 0.8168514 0.177990111  fv      Gamma RP(P), Log-Normal    FALSE #> 372     24 1.0319698 0.223783982  fv      Gamma RP(P), Log-Normal    FALSE #> 388     25 1.1205947 0.246445015  fv      Gamma RP(P), Log-Normal    FALSE #> 404     26 0.9638065 0.214741205  fv      Gamma RP(P), Log-Normal    FALSE #> 420     27 1.8077166 0.405187974  fv      Gamma RP(P), Log-Normal     TRUE #> 436     28 1.4582922 0.319696485  fv      Gamma RP(P), Log-Normal    FALSE #> 452     29 1.2743998 0.277048737  fv      Gamma RP(P), Log-Normal    FALSE #> 468     30 1.4103568 0.311798652  fv      Gamma RP(P), Log-Normal    FALSE #> 484     31 0.8138218 0.185276938  fv      Gamma RP(P), Log-Normal    FALSE #> 500     32 0.9982089 0.220955990  fv      Gamma RP(P), Log-Normal    FALSE #> 516     33 0.8061031 0.175345832  fv      Gamma RP(P), Log-Normal    FALSE #> 532     34 0.7039887 0.153529988  fv      Gamma RP(P), Log-Normal    FALSE #> 548     35 1.0346859 0.233365573  fv      Gamma RP(P), Log-Normal    FALSE #> 564     36 0.7549084 0.171089345  fv      Gamma RP(P), Log-Normal    FALSE #> 580     37 0.7130831 0.152936839  fv      Gamma RP(P), Log-Normal    FALSE #> 596     38 0.6323124 0.137321184  fv      Gamma RP(P), Log-Normal    FALSE #> 612     39 0.9223978 0.197745952  fv      Gamma RP(P), Log-Normal    FALSE #> 628     40 0.5917448 0.131429331  fv      Gamma RP(P), Log-Normal    FALSE #> 644     41 1.7030475 0.362512848  fv      Gamma RP(P), Log-Normal     TRUE #> 660     42 0.9836085 0.221167054  fv      Gamma RP(P), Log-Normal    FALSE #> 676     43 1.0892011 0.236781660  fv      Gamma RP(P), Log-Normal    FALSE #> 692     44 1.0691287 0.229946817  fv      Gamma RP(P), Log-Normal    FALSE #> 708     45 0.9125777 0.193490742  fv      Gamma RP(P), Log-Normal    FALSE #> 724     46 0.8640446 0.183399015  fv      Gamma RP(P), Log-Normal    FALSE #> 740     47 1.3812417 0.310356076  fv      Gamma RP(P), Log-Normal    FALSE #> 756     48 0.9461687 0.209437725  fv      Gamma RP(P), Log-Normal    FALSE #> 772     49 1.2123569 0.272535046  fv      Gamma RP(P), Log-Normal    FALSE #> 788     50 1.0157173 0.219640404  fv      Gamma RP(P), Log-Normal    FALSE #> 804     51 1.2240924 0.266048868  fv      Gamma RP(P), Log-Normal    FALSE #> 820     52 0.6314951 0.135520991  fv      Gamma RP(P), Log-Normal    FALSE #> 836     53 0.7902155 0.170518782  fv      Gamma RP(P), Log-Normal    FALSE #> 852     54 0.6234466 0.136430712  fv      Gamma RP(P), Log-Normal    FALSE #> 868     55 1.1077144 0.243206554  fv      Gamma RP(P), Log-Normal    FALSE #> 884     56 0.8032454 0.176040775  fv      Gamma RP(P), Log-Normal    FALSE #> 900     57 1.0879018 0.236307364  fv      Gamma RP(P), Log-Normal    FALSE #> 916     58 0.9079961 0.206563826  fv      Gamma RP(P), Log-Normal    FALSE #> 932     59 0.8521420 0.182802754  fv      Gamma RP(P), Log-Normal    FALSE #> 948     60 1.1246211 0.247632446  fv      Gamma RP(P), Log-Normal    FALSE #> 964     61 0.8496498 0.182406159  fv      Gamma RP(P), Log-Normal    FALSE #> 980     62 0.6798459 0.145192799  fv      Gamma RP(P), Log-Normal    FALSE #> 996     63 1.1786060 0.259638432  fv      Gamma RP(P), Log-Normal    FALSE #> 1012    64 0.8159884 0.175037739  fv      Gamma RP(P), Log-Normal    FALSE #> 1028    65 0.8800785 0.187329515  fv      Gamma RP(P), Log-Normal    FALSE #> 1044    66 0.6475174 0.141594919  fv      Gamma RP(P), Log-Normal    FALSE #> 1060    67 1.1346861 0.243224867  fv      Gamma RP(P), Log-Normal    FALSE #> 1076    68 0.9451782 0.204530548  fv      Gamma RP(P), Log-Normal    FALSE #> 1092    69 0.6591367 0.142421595  fv      Gamma RP(P), Log-Normal    FALSE #> 1108    70 0.8957225 0.201454630  fv      Gamma RP(P), Log-Normal    FALSE #> 1124    71 1.2425651 0.269862801  fv      Gamma RP(P), Log-Normal    FALSE #> 1140    72 0.7988484 0.172472083  fv      Gamma RP(P), Log-Normal    FALSE #> 1156    73 0.5992919 0.131137709  fv      Gamma RP(P), Log-Normal    FALSE #> 1172    74 0.8804460 0.189838649  fv      Gamma RP(P), Log-Normal    FALSE #> 1188    75 0.9777687 0.216420261  fv      Gamma RP(P), Log-Normal    FALSE #> 1204    76 0.9693736 0.219502318  fv      Gamma RP(P), Log-Normal    FALSE #> 1220    77 1.0165404 0.226139509  fv      Gamma RP(P), Log-Normal    FALSE #> 1236    78 1.4399271 0.315071555  fv      Gamma RP(P), Log-Normal    FALSE #> 1252    79 2.1221995 0.470009490  fv      Gamma RP(P), Log-Normal     TRUE #> 1268    80 0.7791535 0.174703739  fv      Gamma RP(P), Log-Normal    FALSE #> 1284    81 1.2547237 0.280827316  fv      Gamma RP(P), Log-Normal    FALSE #> 1300    82 0.9467868 0.204477217  fv      Gamma RP(P), Log-Normal    FALSE #> 1316    83 0.6230714 0.145922655  fv      Gamma RP(P), Log-Normal    FALSE #> 1332    84 0.9656183 0.208305949  fv      Gamma RP(P), Log-Normal    FALSE #> 1348    85 0.8409584 0.179338509  fv      Gamma RP(P), Log-Normal    FALSE #> 1364    86 0.8783902 0.188634107  fv      Gamma RP(P), Log-Normal    FALSE #> 1380    87 0.7891754 0.171683960  fv      Gamma RP(P), Log-Normal    FALSE #> 1396    88 0.8889765 0.189117565  fv      Gamma RP(P), Log-Normal    FALSE #> 1412    89 1.0136504 0.220546193  fv      Gamma RP(P), Log-Normal    FALSE #> 1428    90 1.1286349 0.241320253  fv      Gamma RP(P), Log-Normal    FALSE #> 1444    91 0.9312858 0.201825397  fv      Gamma RP(P), Log-Normal    FALSE #> 1460    92 0.8289786 0.178341610  fv      Gamma RP(P), Log-Normal    FALSE #> 1476    93 1.4146168 0.330757275  fv      Gamma RP(P), Log-Normal     TRUE #> 1492    94 1.1853824 0.265460198  fv      Gamma RP(P), Log-Normal    FALSE #> 1508    95 0.9465371 0.204446330  fv      Gamma RP(P), Log-Normal    FALSE #> 1524    96 0.5360025 0.117580795  fv      Gamma RP(P), Log-Normal    FALSE #> 1540    97 0.7049504 0.150930049  fv      Gamma RP(P), Log-Normal    FALSE #> 1556    98 1.0626450 0.230692215  fv      Gamma RP(P), Log-Normal    FALSE #> 1572    99 0.7236906 0.160439565  fv      Gamma RP(P), Log-Normal    FALSE #> 1588   100 1.2194488 0.261578712  fv      Gamma RP(P), Log-Normal    FALSE #> 1604   101 1.0668733 0.228523775  fv      Gamma RP(P), Log-Normal    FALSE #> 1620   102 0.9285004 0.200447554  fv      Gamma RP(P), Log-Normal    FALSE #> 1636   103 1.3458088 0.304378913  fv      Gamma RP(P), Log-Normal    FALSE #> 1652   104 1.0710874 0.231465125  fv      Gamma RP(P), Log-Normal    FALSE #> 1668   105 1.2613946 0.281394393  fv      Gamma RP(P), Log-Normal    FALSE #> 1684   106 0.8969644 0.193536579  fv      Gamma RP(P), Log-Normal    FALSE #> 1700   107 1.3073644 0.291540572  fv      Gamma RP(P), Log-Normal    FALSE #> 1716   108 1.2015396 0.273156263  fv      Gamma RP(P), Log-Normal    FALSE #> 1732   109 0.9608367 0.215133741  fv      Gamma RP(P), Log-Normal    FALSE #> 1748   110 1.0549760 0.230967027  fv      Gamma RP(P), Log-Normal    FALSE #> 1764   111 1.1546607 0.253379239  fv      Gamma RP(P), Log-Normal    FALSE #> 1780   112 0.5673895 0.125437515  fv      Gamma RP(P), Log-Normal    FALSE #> 1796   113 0.6343064 0.137652658  fv      Gamma RP(P), Log-Normal    FALSE #> 1812   114 1.6994774 0.372630539  fv      Gamma RP(P), Log-Normal     TRUE #> 1828   115 0.8096436 0.174316311  fv      Gamma RP(P), Log-Normal    FALSE #> 1844   116 0.5983113 0.130571723  fv      Gamma RP(P), Log-Normal    FALSE #> 1860   117 1.0752666 0.230788747  fv      Gamma RP(P), Log-Normal    FALSE #> 1876   118 0.6424306 0.138884328  fv      Gamma RP(P), Log-Normal    FALSE #> 1892   119 0.7987293 0.174838654  fv      Gamma RP(P), Log-Normal    FALSE #> 1908   120 0.9198102 0.199426585  fv      Gamma RP(P), Log-Normal    FALSE #> 1924   121 0.7655232 0.165876205  fv      Gamma RP(P), Log-Normal    FALSE #> 1940   122 0.8673380 0.192315723  fv      Gamma RP(P), Log-Normal    FALSE #> 1956   123 0.9257457 0.199557099  fv      Gamma RP(P), Log-Normal    FALSE #> 1972   124 0.9741059 0.208749126  fv      Gamma RP(P), Log-Normal    FALSE #> 1988   125 1.2460856 0.279458468  fv      Gamma RP(P), Log-Normal    FALSE #> 2004   126 1.5223418 0.348979386  fv      Gamma RP(P), Log-Normal     TRUE #> 2020   127 1.0897918 0.233748704  fv      Gamma RP(P), Log-Normal    FALSE #> 2036   128 1.0913695 0.235245203  fv      Gamma RP(P), Log-Normal    FALSE #> 2052   129 0.7759233 0.174810378  fv      Gamma RP(P), Log-Normal    FALSE #> 2068   130 0.8542536 0.185655091  fv      Gamma RP(P), Log-Normal    FALSE #> 2084   131 0.8677951 0.186392333  fv      Gamma RP(P), Log-Normal    FALSE #> 2100   132 1.0182273 0.229239447  fv      Gamma RP(P), Log-Normal    FALSE #> 2116   133 0.9314544 0.204039232  fv      Gamma RP(P), Log-Normal    FALSE #> 2132   134 1.0852088 0.238460386  fv      Gamma RP(P), Log-Normal    FALSE #> 2148   135 0.7909149 0.173975625  fv      Gamma RP(P), Log-Normal    FALSE #> 2164   136 0.9778860 0.214124322  fv      Gamma RP(P), Log-Normal    FALSE #> 2180   137 1.2598163 0.276133548  fv      Gamma RP(P), Log-Normal    FALSE #> 2196   138 1.2809055 0.281451627  fv      Gamma RP(P), Log-Normal    FALSE #> 2212   139 0.7995624 0.172343978  fv      Gamma RP(P), Log-Normal    FALSE #> 2228   140 1.0542020 0.228792828  fv      Gamma RP(P), Log-Normal    FALSE #> 2244   141 0.7478963 0.168448746  fv      Gamma RP(P), Log-Normal    FALSE #> 2260   142 0.9760714 0.213021566  fv      Gamma RP(P), Log-Normal    FALSE #> 2276   143 1.7801465 0.420367979  fv      Gamma RP(P), Log-Normal     TRUE #> 2292   144 1.1180069 0.240026858  fv      Gamma RP(P), Log-Normal    FALSE #> 2308   145 0.8550480 0.185257078  fv      Gamma RP(P), Log-Normal    FALSE #> 2324   146 0.8869459 0.194368374  fv      Gamma RP(P), Log-Normal    FALSE #> 2340   147 1.0416163 0.222624864  fv      Gamma RP(P), Log-Normal    FALSE #> 2356   148 0.6177941 0.133321319  fv      Gamma RP(P), Log-Normal    FALSE #> 2372   149 0.8384950 0.183594689  fv      Gamma RP(P), Log-Normal    FALSE #> 2388   150 1.1818709 0.256428027  fv      Gamma RP(P), Log-Normal    FALSE #> 2404   151 1.1336835 0.246106754  fv      Gamma RP(P), Log-Normal    FALSE #> 2420   152 1.2047244 0.274407174  fv      Gamma RP(P), Log-Normal    FALSE #> 2436   153 0.6319178 0.140024355  fv      Gamma RP(P), Log-Normal    FALSE #> 2452   154 1.1227542 0.243273981  fv      Gamma RP(P), Log-Normal    FALSE #> 2468   155 0.9472756 0.213435649  fv      Gamma RP(P), Log-Normal    FALSE #> 2484   156 0.9353948 0.201845857  fv      Gamma RP(P), Log-Normal    FALSE #> 2500   157 1.4443196 0.325027201  fv      Gamma RP(P), Log-Normal    FALSE #> 2516   158 1.4804150 0.332558943  fv      Gamma RP(P), Log-Normal     TRUE #> 2532   159 0.6630153 0.148287051  fv      Gamma RP(P), Log-Normal    FALSE #> 2548   160 0.6900087 0.149587077  fv      Gamma RP(P), Log-Normal    FALSE #> 2564   161 1.7387701 0.385887845  fv      Gamma RP(P), Log-Normal     TRUE #> 2580   162 0.9687233 0.217750869  fv      Gamma RP(P), Log-Normal    FALSE #> 2596   163 0.6827167 0.145583781  fv      Gamma RP(P), Log-Normal    FALSE #> 2612   164 1.2172745 0.262189900  fv      Gamma RP(P), Log-Normal    FALSE #> 2628   165 1.0784115 0.233084303  fv      Gamma RP(P), Log-Normal    FALSE #> 2644   166 1.1583751 0.261285259  fv      Gamma RP(P), Log-Normal    FALSE #> 2660   167 1.3212424 0.288994706  fv      Gamma RP(P), Log-Normal    FALSE #> 2676   168 1.0892162 0.232654723  fv      Gamma RP(P), Log-Normal    FALSE #> 2692   169 0.9488717 0.210488425  fv      Gamma RP(P), Log-Normal    FALSE #> 2708   170 0.9425105 0.207346315  fv      Gamma RP(P), Log-Normal    FALSE #> 2724   171 0.9648281 0.217152696  fv      Gamma RP(P), Log-Normal    FALSE #> 2740   172 1.1441352 0.247932693  fv      Gamma RP(P), Log-Normal    FALSE #> 2756   173 0.7910405 0.176024495  fv      Gamma RP(P), Log-Normal    FALSE #> 2772   174 1.1316952 0.249970141  fv      Gamma RP(P), Log-Normal    FALSE #> 2788   175 0.8198924 0.180989910  fv      Gamma RP(P), Log-Normal    FALSE #> 2804   176 0.8753872 0.188037677  fv      Gamma RP(P), Log-Normal    FALSE #> 2820   177 0.7720114 0.176313354  fv      Gamma RP(P), Log-Normal    FALSE #> 2836   178 1.1816336 0.253573112  fv      Gamma RP(P), Log-Normal    FALSE #> 2852   179 0.7570887 0.163987104  fv      Gamma RP(P), Log-Normal    FALSE #> 2868   180 1.0248482 0.231084001  fv      Gamma RP(P), Log-Normal    FALSE #> 2884   181 1.1758148 0.255526928  fv      Gamma RP(P), Log-Normal    FALSE #> 2900   182 0.9353048 0.200381412  fv      Gamma RP(P), Log-Normal    FALSE #> 2916   183 0.7649203 0.166913250  fv      Gamma RP(P), Log-Normal    FALSE #> 2932   184 0.9391842 0.210675866  fv      Gamma RP(P), Log-Normal    FALSE #> 2948   185 1.2001237 0.263877714  fv      Gamma RP(P), Log-Normal    FALSE #> 2964   186 1.3870806 0.315929817  fv      Gamma RP(P), Log-Normal    FALSE #> 2980   187 0.9699397 0.211577834  fv      Gamma RP(P), Log-Normal    FALSE #> 2996   188 0.6690904 0.144881941  fv      Gamma RP(P), Log-Normal    FALSE #> 3012   189 1.0329302 0.225123247  fv      Gamma RP(P), Log-Normal    FALSE #> 3028   190 0.9803038 0.208776860  fv      Gamma RP(P), Log-Normal    FALSE #> 3044   191 1.0084836 0.219927110  fv      Gamma RP(P), Log-Normal    FALSE #> 3060   192 1.0550664 0.236314960  fv      Gamma RP(P), Log-Normal    FALSE #> 3076   193 0.8630140 0.189691189  fv      Gamma RP(P), Log-Normal    FALSE #> 3092   194 0.8052466 0.175195362  fv      Gamma RP(P), Log-Normal    FALSE #> 3108   195 1.0968900 0.233922924  fv      Gamma RP(P), Log-Normal    FALSE #> 3124   196 1.1559404 0.256854876  fv      Gamma RP(P), Log-Normal    FALSE #> 3140   197 0.9197354 0.195423075  fv      Gamma RP(P), Log-Normal    FALSE #> 3156   198 0.9870597 0.210203075  fv      Gamma RP(P), Log-Normal    FALSE #> 3172   199 0.7693873 0.169248931  fv      Gamma RP(P), Log-Normal    FALSE #> 3188   200 1.0852385 0.232970650  fv      Gamma RP(P), Log-Normal    FALSE #> 3204   201 1.0582087 0.233919328  fv      Gamma RP(P), Log-Normal    FALSE #> 3220   202 1.1012224 0.237450055  fv      Gamma RP(P), Log-Normal    FALSE #> 3236   203 0.9917678 0.212158246  fv      Gamma RP(P), Log-Normal    FALSE #> 3252   204 1.0600987 0.242348250  fv      Gamma RP(P), Log-Normal    FALSE #> 3268   205 0.7573698 0.166925875  fv      Gamma RP(P), Log-Normal    FALSE #> 3284   206 1.0214815 0.222696133  fv      Gamma RP(P), Log-Normal    FALSE #> 3300   207 0.6835123 0.147794118  fv      Gamma RP(P), Log-Normal    FALSE #> 3316   208 0.9790364 0.214484170  fv      Gamma RP(P), Log-Normal    FALSE #> 3332   209 0.9284396 0.203537107  fv      Gamma RP(P), Log-Normal    FALSE #> 3348   210 0.9177248 0.203825830  fv      Gamma RP(P), Log-Normal    FALSE #> 3364   211 1.4985260 0.338006117  fv      Gamma RP(P), Log-Normal     TRUE #> 3380   212 0.9970864 0.223396310  fv      Gamma RP(P), Log-Normal    FALSE #> 3396   213 1.1144267 0.246404561  fv      Gamma RP(P), Log-Normal    FALSE #> 3412   214 1.0088299 0.226415030  fv      Gamma RP(P), Log-Normal    FALSE #> 3428   215 1.1291796 0.244563544  fv      Gamma RP(P), Log-Normal    FALSE #> 3444   216 1.2609631 0.275896977  fv      Gamma RP(P), Log-Normal    FALSE #> 3460   217 0.8389670 0.184949511  fv      Gamma RP(P), Log-Normal    FALSE #> 3476   218 0.8453860 0.188622069  fv      Gamma RP(P), Log-Normal    FALSE #> 3492   219 1.2183609 0.274303728  fv      Gamma RP(P), Log-Normal    FALSE #> 3508   220 0.7187300 0.156561885  fv      Gamma RP(P), Log-Normal    FALSE #> 3524   221 0.9388220 0.208447345  fv      Gamma RP(P), Log-Normal    FALSE #> 3540   222 1.1209367 0.250349485  fv      Gamma RP(P), Log-Normal    FALSE #> 3556   223 1.0480275 0.237133986  fv      Gamma RP(P), Log-Normal    FALSE #> 3572   224 1.0128154 0.221061644  fv      Gamma RP(P), Log-Normal    FALSE #> 3588   225 0.8044790 0.173788213  fv      Gamma RP(P), Log-Normal    FALSE #> 3604   226 1.3216154 0.300532131  fv      Gamma RP(P), Log-Normal    FALSE #> 3620   227 0.8680673 0.191662277  fv      Gamma RP(P), Log-Normal    FALSE #> 3636   228 1.1162978 0.238070849  fv      Gamma RP(P), Log-Normal    FALSE #> 3652   229 1.1133721 0.244781394  fv      Gamma RP(P), Log-Normal    FALSE #> 3668   230 0.8878602 0.190636787  fv      Gamma RP(P), Log-Normal    FALSE #> 3684   231 1.1544228 0.255759683  fv      Gamma RP(P), Log-Normal    FALSE #> 3700   232 1.0320456 0.230128037  fv      Gamma RP(P), Log-Normal    FALSE #> 3716   233 1.1888143 0.263237985  fv      Gamma RP(P), Log-Normal    FALSE #> 3732   234 0.9164521 0.201120134  fv      Gamma RP(P), Log-Normal    FALSE #> 3748   235 1.1327970 0.257687761  fv      Gamma RP(P), Log-Normal    FALSE #> 3764   236 0.6460332 0.144131419  fv      Gamma RP(P), Log-Normal    FALSE #> 3780   237 0.8430326 0.186855350  fv      Gamma RP(P), Log-Normal    FALSE #> 3796   238 0.8158895 0.183957007  fv      Gamma RP(P), Log-Normal    FALSE #> 3812   239 0.9394292 0.201459225  fv      Gamma RP(P), Log-Normal    FALSE #> 3828   240 1.1606621 0.257905170  fv      Gamma RP(P), Log-Normal    FALSE #> 3844   241 0.8538658 0.185111653  fv      Gamma RP(P), Log-Normal    FALSE #> 3860   242 0.6336259 0.138341079  fv      Gamma RP(P), Log-Normal    FALSE #> 3876   243 1.3611347 0.316943569  fv      Gamma RP(P), Log-Normal    FALSE #> 3892   244 0.6853487 0.148004398  fv      Gamma RP(P), Log-Normal    FALSE #> 3908   245 1.5239087 0.341431129  fv      Gamma RP(P), Log-Normal     TRUE #> 3924   246 0.8620671 0.184937320  fv      Gamma RP(P), Log-Normal    FALSE #> 3940   247 1.0483086 0.230069168  fv      Gamma RP(P), Log-Normal    FALSE #> 3956   248 1.3814399 0.299598493  fv      Gamma RP(P), Log-Normal    FALSE #> 3972   249 1.4587490 0.332527808  fv      Gamma RP(P), Log-Normal     TRUE #> 3988   250 0.9961178 0.219966795  fv      Gamma RP(P), Log-Normal    FALSE #> 4004   251 1.0802323 0.239577478  fv      Gamma RP(P), Log-Normal    FALSE #> 4020   252 1.1573802 0.260140925  fv      Gamma RP(P), Log-Normal    FALSE #> 4036   253 1.2435742 0.287752260  fv      Gamma RP(P), Log-Normal    FALSE #> 4052   254 0.6213066 0.133993890  fv      Gamma RP(P), Log-Normal    FALSE #> 4068   255 0.9306108 0.196210153  fv      Gamma RP(P), Log-Normal    FALSE #> 4084   256 0.9142294 0.199393458  fv      Gamma RP(P), Log-Normal    FALSE #> 4100   257 0.6756633 0.145660199  fv      Gamma RP(P), Log-Normal    FALSE #> 4116   258 1.0192314 0.236693687  fv      Gamma RP(P), Log-Normal    FALSE #> 4132   259 0.9446257 0.205216936  fv      Gamma RP(P), Log-Normal    FALSE #> 4148   260 1.1233469 0.244803377  fv      Gamma RP(P), Log-Normal    FALSE #> 4164   261 0.5981253 0.129981226  fv      Gamma RP(P), Log-Normal    FALSE #> 4180   262 0.8469669 0.185096728  fv      Gamma RP(P), Log-Normal    FALSE #> 4196   263 0.7899133 0.174604035  fv      Gamma RP(P), Log-Normal    FALSE #> 4212   264 0.6078800 0.131030433  fv      Gamma RP(P), Log-Normal    FALSE #> 4228   265 0.7793063 0.167770678  fv      Gamma RP(P), Log-Normal    FALSE #> 4244   266 0.8557823 0.187576892  fv      Gamma RP(P), Log-Normal    FALSE #> 4260   267 0.9221636 0.200920447  fv      Gamma RP(P), Log-Normal    FALSE #> 4276   268 0.9907061 0.213920651  fv      Gamma RP(P), Log-Normal    FALSE #> 4292   269 1.6707648 0.379565298  fv      Gamma RP(P), Log-Normal     TRUE #> 4308   270 1.2213651 0.278069743  fv      Gamma RP(P), Log-Normal    FALSE #> 4324   271 1.2134813 0.268186948  fv      Gamma RP(P), Log-Normal    FALSE #> 4340   272 0.7105029 0.158227375  fv      Gamma RP(P), Log-Normal    FALSE #> 4356   273 0.8171010 0.178367886  fv      Gamma RP(P), Log-Normal    FALSE #> 4372   274 0.9050407 0.193402733  fv      Gamma RP(P), Log-Normal    FALSE #> 4388   275 1.1353543 0.243983601  fv      Gamma RP(P), Log-Normal    FALSE #> 4404   276 1.0858343 0.244403762  fv      Gamma RP(P), Log-Normal    FALSE #> 4420   277 0.8684428 0.186238953  fv      Gamma RP(P), Log-Normal    FALSE #> 4436   278 1.0203287 0.220451182  fv      Gamma RP(P), Log-Normal    FALSE #> 4452   279 1.0011619 0.217423012  fv      Gamma RP(P), Log-Normal    FALSE #> 4468   280 0.9509821 0.203861367  fv      Gamma RP(P), Log-Normal    FALSE #> 4484   281 1.5506510 0.348875344  fv      Gamma RP(P), Log-Normal     TRUE #> 4500   282 0.7365934 0.158887674  fv      Gamma RP(P), Log-Normal    FALSE #> 4516   283 1.1427590 0.261767217  fv      Gamma RP(P), Log-Normal    FALSE #> 4532   284 0.7622570 0.162455472  fv      Gamma RP(P), Log-Normal    FALSE #> 4548   285 0.5961491 0.129287813  fv      Gamma RP(P), Log-Normal    FALSE #> 4564   286 1.0061213 0.217649530  fv      Gamma RP(P), Log-Normal    FALSE #> 4580   287 0.7806262 0.169733695  fv      Gamma RP(P), Log-Normal    FALSE #> 4596   288 1.8098902 0.399947941  fv      Gamma RP(P), Log-Normal     TRUE #> 4612   289 0.8393518 0.185200626  fv      Gamma RP(P), Log-Normal    FALSE #> 4628   290 0.7468449 0.162723595  fv      Gamma RP(P), Log-Normal    FALSE #> 4644   291 0.7601939 0.165843465  fv      Gamma RP(P), Log-Normal    FALSE #> 4660   292 0.7323268 0.156954458  fv      Gamma RP(P), Log-Normal    FALSE #> 4676   293 1.2258149 0.268151985  fv      Gamma RP(P), Log-Normal    FALSE #> 4692   294 0.8404157 0.183782801  fv      Gamma RP(P), Log-Normal    FALSE #> 4708   295 1.5766100 0.346101076  fv      Gamma RP(P), Log-Normal     TRUE #> 4724   296 1.0056320 0.220767234  fv      Gamma RP(P), Log-Normal    FALSE #> 4740   297 1.7157538 0.372587669  fv      Gamma RP(P), Log-Normal     TRUE #> 4756   298 0.6795482 0.146389054  fv      Gamma RP(P), Log-Normal    FALSE #> 4772   299 0.7207333 0.158465129  fv      Gamma RP(P), Log-Normal    FALSE #> 4788   300 1.1288850 0.241916357  fv      Gamma RP(P), Log-Normal    FALSE #> 4804   301 0.6731434 0.147303733  fv      Gamma RP(P), Log-Normal    FALSE #> 4820   302 1.0472072 0.224351808  fv      Gamma RP(P), Log-Normal    FALSE #> 4836   303 0.7717841 0.166341408  fv      Gamma RP(P), Log-Normal    FALSE #> 4852   304 0.8192309 0.175783833  fv      Gamma RP(P), Log-Normal    FALSE #> 4868   305 1.2026302 0.261708291  fv      Gamma RP(P), Log-Normal    FALSE #> 4884   306 0.9576788 0.208093071  fv      Gamma RP(P), Log-Normal    FALSE #> 4900   307 1.0605048 0.238865352  fv      Gamma RP(P), Log-Normal    FALSE #> 4916   308 0.8711031 0.189633570  fv      Gamma RP(P), Log-Normal    FALSE #> 4932   309 1.0053989 0.216562485  fv      Gamma RP(P), Log-Normal    FALSE #> 4948   310 1.6051705 0.357305337  fv      Gamma RP(P), Log-Normal     TRUE #> 4964   311 1.2178320 0.266118483  fv      Gamma RP(P), Log-Normal    FALSE #> 4980   312 1.8621584 0.430025773  fv      Gamma RP(P), Log-Normal     TRUE #> 4996   313 1.1324318 0.248100889  fv      Gamma RP(P), Log-Normal    FALSE #> 5012   314 0.9259319 0.204944464  fv      Gamma RP(P), Log-Normal    FALSE #> 5028   315 1.0717161 0.231194628  fv      Gamma RP(P), Log-Normal    FALSE #> 5044   316 1.5632161 0.343308715  fv      Gamma RP(P), Log-Normal     TRUE #> 5060   317 0.7911773 0.172163115  fv      Gamma RP(P), Log-Normal    FALSE #> 5076   318 1.0257467 0.229465201  fv      Gamma RP(P), Log-Normal    FALSE #> 5092   319 0.7560379 0.164851201  fv      Gamma RP(P), Log-Normal    FALSE #> 5108   320 0.7598209 0.164946075  fv      Gamma RP(P), Log-Normal    FALSE #> 5124   321 1.3366113 0.296232365  fv      Gamma RP(P), Log-Normal    FALSE #> 5140   322 0.6541514 0.142874097  fv      Gamma RP(P), Log-Normal    FALSE #> 5156   323 1.1888806 0.259384609  fv      Gamma RP(P), Log-Normal    FALSE #> 5172   324 0.7895205 0.174817665  fv      Gamma RP(P), Log-Normal    FALSE #> 5188   325 0.9089904 0.195887537  fv      Gamma RP(P), Log-Normal    FALSE #> 5204   326 0.8991867 0.194800348  fv      Gamma RP(P), Log-Normal    FALSE #> 5220   327 0.9354573 0.200972552  fv      Gamma RP(P), Log-Normal    FALSE #> 5236   328 1.4508772 0.321883010  fv      Gamma RP(P), Log-Normal    FALSE #> 5252   329 1.2389575 0.278410321  fv      Gamma RP(P), Log-Normal    FALSE #> 5268   330 0.9497564 0.208683102  fv      Gamma RP(P), Log-Normal    FALSE #> 5284   331 1.1348318 0.243830181  fv      Gamma RP(P), Log-Normal    FALSE #> 5300   332 0.7406454 0.165819274  fv      Gamma RP(P), Log-Normal    FALSE #> 5316   333 0.6882928 0.148784950  fv      Gamma RP(P), Log-Normal    FALSE #> 5332   334 1.3842558 0.296929851  fv      Gamma RP(P), Log-Normal    FALSE #> 5348   335 1.0741546 0.237337608  fv      Gamma RP(P), Log-Normal    FALSE #> 5364   336 0.6223286 0.139826644  fv      Gamma RP(P), Log-Normal    FALSE #> 5380   337 0.8436957 0.186307291  fv      Gamma RP(P), Log-Normal    FALSE #> 5396   338 0.7251021 0.154411004  fv      Gamma RP(P), Log-Normal    FALSE #> 5412   339 1.0911888 0.239706177  fv      Gamma RP(P), Log-Normal    FALSE #> 5428   340 1.1139385 0.259970148  fv      Gamma RP(P), Log-Normal    FALSE #> 5444   341 0.6722575 0.144746633  fv      Gamma RP(P), Log-Normal    FALSE #> 5460   342 0.5335198 0.115837477  fv      Gamma RP(P), Log-Normal    FALSE #> 5476   343 0.7759368 0.168497568  fv      Gamma RP(P), Log-Normal    FALSE #> 5492   344 1.3745439 0.304745479  fv      Gamma RP(P), Log-Normal    FALSE #> 5508   345 1.2019517 0.264238640  fv      Gamma RP(P), Log-Normal    FALSE #> 5524   346 1.0680673 0.228681184  fv      Gamma RP(P), Log-Normal    FALSE #> 5540   347 0.9424073 0.202173546  fv      Gamma RP(P), Log-Normal    FALSE #> 5556   348 1.4206305 0.311160176  fv      Gamma RP(P), Log-Normal    FALSE #> 5572   349 1.1631266 0.253819909  fv      Gamma RP(P), Log-Normal    FALSE #> 5588   350 1.0587565 0.227239061  fv      Gamma RP(P), Log-Normal    FALSE #> 5604   351 1.2314624 0.279628007  fv      Gamma RP(P), Log-Normal    FALSE #> 5620   352 1.1441911 0.257794647  fv      Gamma RP(P), Log-Normal    FALSE #> 5636   353 0.6759264 0.146595798  fv      Gamma RP(P), Log-Normal    FALSE #> 5652   354 0.9403395 0.204457172  fv      Gamma RP(P), Log-Normal    FALSE #> 5668   355 1.1145079 0.239429075  fv      Gamma RP(P), Log-Normal    FALSE #> 5684   356 1.0944187 0.241452823  fv      Gamma RP(P), Log-Normal    FALSE #> 5700   357 0.8472675 0.182834330  fv      Gamma RP(P), Log-Normal    FALSE #> 5716   358 0.8078994 0.171141015  fv      Gamma RP(P), Log-Normal    FALSE #> 5732   359 0.8715760 0.197056186  fv      Gamma RP(P), Log-Normal    FALSE #> 5748   360 0.7305572 0.157575039  fv      Gamma RP(P), Log-Normal    FALSE #> 5764   361 1.3093898 0.295995439  fv      Gamma RP(P), Log-Normal    FALSE #> 5780   362 0.5932042 0.128820637  fv      Gamma RP(P), Log-Normal    FALSE #> 5796   363 0.9537684 0.211563876  fv      Gamma RP(P), Log-Normal    FALSE #> 5812   364 0.6500835 0.143060235  fv      Gamma RP(P), Log-Normal    FALSE #> 5828   365 0.9988684 0.230090658  fv      Gamma RP(P), Log-Normal    FALSE #> 5844   366 1.2002573 0.268259798  fv      Gamma RP(P), Log-Normal    FALSE #> 5860   367 1.1732540 0.253572484  fv      Gamma RP(P), Log-Normal    FALSE #> 5876   368 1.1839640 0.274942607  fv      Gamma RP(P), Log-Normal    FALSE #> 5892   369 0.6725999 0.144571959  fv      Gamma RP(P), Log-Normal    FALSE #> 5908   370 0.6474614 0.141195590  fv      Gamma RP(P), Log-Normal    FALSE #> 5924   371 1.0778251 0.237098302  fv      Gamma RP(P), Log-Normal    FALSE #> 5940   372 0.7840598 0.178284497  fv      Gamma RP(P), Log-Normal    FALSE #> 5956   373 0.9240125 0.200650555  fv      Gamma RP(P), Log-Normal    FALSE #> 5972   374 0.7215876 0.154150935  fv      Gamma RP(P), Log-Normal    FALSE #> 5988   375 0.7472158 0.161834638  fv      Gamma RP(P), Log-Normal    FALSE #> 6004   376 0.7840256 0.168608101  fv      Gamma RP(P), Log-Normal    FALSE #> 6020   377 1.2063017 0.272271466  fv      Gamma RP(P), Log-Normal    FALSE #> 6036   378 1.0759738 0.232885696  fv      Gamma RP(P), Log-Normal    FALSE #> 6052   379 0.7991445 0.171767634  fv      Gamma RP(P), Log-Normal    FALSE #> 6068   380 0.9835843 0.213394452  fv      Gamma RP(P), Log-Normal    FALSE #> 6084   381 0.7117307 0.151443197  fv      Gamma RP(P), Log-Normal    FALSE #> 6100   382 0.9374011 0.204621752  fv      Gamma RP(P), Log-Normal    FALSE #> 6116   383 1.4564452 0.312580654  fv      Gamma RP(P), Log-Normal    FALSE #> 6132   384 1.1166026 0.243039524  fv      Gamma RP(P), Log-Normal    FALSE #> 6148   385 0.6950395 0.150883736  fv      Gamma RP(P), Log-Normal    FALSE #> 6164   386 0.4544464 0.102122826  fv      Gamma RP(P), Log-Normal     TRUE #> 6180   387 0.6941927 0.149352262  fv      Gamma RP(P), Log-Normal    FALSE #> 6196   388 0.8740749 0.189471295  fv      Gamma RP(P), Log-Normal    FALSE #> 6212   389 0.6379024 0.138928630  fv      Gamma RP(P), Log-Normal    FALSE #> 6228   390 0.7579377 0.165386684  fv      Gamma RP(P), Log-Normal    FALSE #> 6244   391 0.6208441 0.135164000  fv      Gamma RP(P), Log-Normal    FALSE #> 6260   392 1.1388947 0.243164287  fv      Gamma RP(P), Log-Normal    FALSE #> 6276   393 0.6777050 0.146669241  fv      Gamma RP(P), Log-Normal    FALSE #> 6292   394 1.2875572 0.285500045  fv      Gamma RP(P), Log-Normal    FALSE #> 6308   395 0.9594942 0.212902410  fv      Gamma RP(P), Log-Normal    FALSE #> 6324   396 0.9535688 0.214993979  fv      Gamma RP(P), Log-Normal    FALSE #> 6340   397 1.1170706 0.239961536  fv      Gamma RP(P), Log-Normal    FALSE #> 6356   398 0.9337227 0.201800746  fv      Gamma RP(P), Log-Normal    FALSE #> 6372   399 0.7611877 0.165402284  fv      Gamma RP(P), Log-Normal    FALSE #> 6388   400 0.8163529 0.177586051  fv      Gamma RP(P), Log-Normal    FALSE #> 6404   401 1.1755879 0.260480234  fv      Gamma RP(P), Log-Normal    FALSE #> 6420   402 0.8926168 0.200255305  fv      Gamma RP(P), Log-Normal    FALSE #> 6436   403 0.8545840 0.183751295  fv      Gamma RP(P), Log-Normal    FALSE #> 6452   404 1.1315518 0.257023968  fv      Gamma RP(P), Log-Normal    FALSE #> 6468   405 0.7711867 0.164072761  fv      Gamma RP(P), Log-Normal    FALSE #> 6484   406 0.7394725 0.158175027  fv      Gamma RP(P), Log-Normal    FALSE #> 6500   407 1.0465095 0.229942406  fv      Gamma RP(P), Log-Normal    FALSE #> 6516   408 0.6300849 0.149381842  fv      Gamma RP(P), Log-Normal    FALSE #> 6532   409 1.2759445 0.275964040  fv      Gamma RP(P), Log-Normal    FALSE #> 6548   410 1.4092819 0.317311958  fv      Gamma RP(P), Log-Normal    FALSE #> 6564   411 1.0991484 0.254405935  fv      Gamma RP(P), Log-Normal    FALSE #> 6580   412 0.8267034 0.177108154  fv      Gamma RP(P), Log-Normal    FALSE #> 6596   413 0.9031192 0.199459030  fv      Gamma RP(P), Log-Normal    FALSE #> 6612   414 0.8929692 0.192911734  fv      Gamma RP(P), Log-Normal    FALSE #> 6628   415 1.1226055 0.241604742  fv      Gamma RP(P), Log-Normal    FALSE #> 6644   416 0.7277533 0.157426254  fv      Gamma RP(P), Log-Normal    FALSE #> 6660   417 0.9685098 0.210134619  fv      Gamma RP(P), Log-Normal    FALSE #> 6676   418 0.9593147 0.209686673  fv      Gamma RP(P), Log-Normal    FALSE #> 6692   419 0.8180942 0.182657405  fv      Gamma RP(P), Log-Normal    FALSE #> 6708   420 1.1163400 0.250241104  fv      Gamma RP(P), Log-Normal    FALSE #> 6724   421 1.0662506 0.230681634  fv      Gamma RP(P), Log-Normal    FALSE #> 6740   422 0.9590765 0.208021402  fv      Gamma RP(P), Log-Normal    FALSE #> 6756   423 1.0631685 0.230888818  fv      Gamma RP(P), Log-Normal    FALSE #> 6772   424 0.9657118 0.217152814  fv      Gamma RP(P), Log-Normal    FALSE #> 6788   425 0.7349995 0.162179797  fv      Gamma RP(P), Log-Normal    FALSE #> 6804   426 1.2825616 0.279074728  fv      Gamma RP(P), Log-Normal    FALSE #> 6820   427 0.5095550 0.112703591  fv      Gamma RP(P), Log-Normal    FALSE #> 6836   428 1.4523732 0.327933855  fv      Gamma RP(P), Log-Normal     TRUE #> 6852   429 0.7978037 0.173408480  fv      Gamma RP(P), Log-Normal    FALSE #> 6868   430 0.6875011 0.147810346  fv      Gamma RP(P), Log-Normal    FALSE #> 6884   431 1.1006941 0.238750756  fv      Gamma RP(P), Log-Normal    FALSE #> 6900   432 0.6748862 0.147308411  fv      Gamma RP(P), Log-Normal    FALSE #> 6916   433 1.1282877 0.250568935  fv      Gamma RP(P), Log-Normal    FALSE #> 6932   434 1.2431724 0.265520208  fv      Gamma RP(P), Log-Normal    FALSE #> 6948   435 0.8078352 0.172249398  fv      Gamma RP(P), Log-Normal    FALSE #> 6964   436 1.2539909 0.282120990  fv      Gamma RP(P), Log-Normal    FALSE #> 6980   437 0.8230815 0.177122345  fv      Gamma RP(P), Log-Normal    FALSE #> 6996   438 0.6367504 0.141576527  fv      Gamma RP(P), Log-Normal    FALSE #> 7012   439 0.9345544 0.208661903  fv      Gamma RP(P), Log-Normal    FALSE #> 7028   440 0.8145396 0.174404632  fv      Gamma RP(P), Log-Normal    FALSE #> 7044   441 0.4963037 0.107331468  fv      Gamma RP(P), Log-Normal     TRUE #> 7060   442 0.9945112 0.210487712  fv      Gamma RP(P), Log-Normal    FALSE #> 7076   443 0.6687881 0.151032821  fv      Gamma RP(P), Log-Normal    FALSE #> 7092   444 0.8057132 0.174622153  fv      Gamma RP(P), Log-Normal    FALSE #> 7108   445 1.2113594 0.278671053  fv      Gamma RP(P), Log-Normal    FALSE #> 7124   446 1.0112616 0.219825528  fv      Gamma RP(P), Log-Normal    FALSE #> 7140   447 0.9580334 0.208122592  fv      Gamma RP(P), Log-Normal    FALSE #> 7156   448 1.0480268 0.231358840  fv      Gamma RP(P), Log-Normal    FALSE #> 7172   449 1.1654833 0.250305711  fv      Gamma RP(P), Log-Normal    FALSE #> 7188   450 0.7747101 0.164631434  fv      Gamma RP(P), Log-Normal    FALSE #> 7204   451 1.0778703 0.233850216  fv      Gamma RP(P), Log-Normal    FALSE #> 7220   452 0.6532856 0.142936025  fv      Gamma RP(P), Log-Normal    FALSE #> 7236   453 1.0354556 0.220201966  fv      Gamma RP(P), Log-Normal    FALSE #> 7252   454 0.8410267 0.188393838  fv      Gamma RP(P), Log-Normal    FALSE #> 7268   455 1.0590126 0.231017540  fv      Gamma RP(P), Log-Normal    FALSE #> 7284   456 1.1002554 0.239040113  fv      Gamma RP(P), Log-Normal    FALSE #> 7300   457 1.1113213 0.242020836  fv      Gamma RP(P), Log-Normal    FALSE #> 7316   458 1.2737451 0.283902711  fv      Gamma RP(P), Log-Normal    FALSE #> 7332   459 0.8741005 0.192529765  fv      Gamma RP(P), Log-Normal    FALSE #> 7348   460 0.8343565 0.185513409  fv      Gamma RP(P), Log-Normal    FALSE #> 7364   461 1.0413598 0.229681208  fv      Gamma RP(P), Log-Normal    FALSE #> 7380   462 1.4058311 0.313874121  fv      Gamma RP(P), Log-Normal    FALSE #> 7396   463 0.7385880 0.157268096  fv      Gamma RP(P), Log-Normal    FALSE #> 7412   464 0.6749140 0.150334899  fv      Gamma RP(P), Log-Normal    FALSE #> 7428   465 0.9372626 0.202416087  fv      Gamma RP(P), Log-Normal    FALSE #> 7444   466 1.0819470 0.240560277  fv      Gamma RP(P), Log-Normal    FALSE #> 7460   467 1.2583393 0.280960356  fv      Gamma RP(P), Log-Normal    FALSE #> 7476   468 0.6603316 0.141287880  fv      Gamma RP(P), Log-Normal    FALSE #> 7492   469 1.0850180 0.243295647  fv      Gamma RP(P), Log-Normal    FALSE #> 7508   470 0.9881027 0.210406927  fv      Gamma RP(P), Log-Normal    FALSE #> 7524   471 0.7454241 0.160990011  fv      Gamma RP(P), Log-Normal    FALSE #> 7540   472 1.1745015 0.256706796  fv      Gamma RP(P), Log-Normal    FALSE #> 7556   473 0.7959574 0.170031541  fv      Gamma RP(P), Log-Normal    FALSE #> 7572   474 0.7918319 0.177803843  fv      Gamma RP(P), Log-Normal    FALSE #> 7588   475 1.6522706 0.375398426  fv      Gamma RP(P), Log-Normal     TRUE #> 7604   476 0.6916373 0.152453433  fv      Gamma RP(P), Log-Normal    FALSE #> 7620   477 1.2375353 0.268085782  fv      Gamma RP(P), Log-Normal    FALSE #> 7636   478 0.9740985 0.216425920  fv      Gamma RP(P), Log-Normal    FALSE #> 7652   479 1.2632676 0.276699164  fv      Gamma RP(P), Log-Normal    FALSE #> 7668   480 1.0387783 0.230531068  fv      Gamma RP(P), Log-Normal    FALSE #> 7684   481 0.9091348 0.201095913  fv      Gamma RP(P), Log-Normal    FALSE #> 7700   482 0.8691584 0.198334797  fv      Gamma RP(P), Log-Normal    FALSE #> 7716   483 0.9225715 0.209461889  fv      Gamma RP(P), Log-Normal    FALSE #> 7732   484 0.9439964 0.201865531  fv      Gamma RP(P), Log-Normal    FALSE #> 7748   485 1.0052738 0.218556409  fv      Gamma RP(P), Log-Normal    FALSE #> 7764   486 0.7260035 0.159970767  fv      Gamma RP(P), Log-Normal    FALSE #> 7780   487 1.1001328 0.238315614  fv      Gamma RP(P), Log-Normal    FALSE #> 7796   488 0.9538392 0.216822184  fv      Gamma RP(P), Log-Normal    FALSE #> 7812   489 1.2501391 0.282675830  fv      Gamma RP(P), Log-Normal    FALSE #> 7828   490 1.6236317 0.352529801  fv      Gamma RP(P), Log-Normal     TRUE #> 7844   491 0.8316296 0.178919604  fv      Gamma RP(P), Log-Normal    FALSE #> 7860   492 1.2586735 0.281277951  fv      Gamma RP(P), Log-Normal    FALSE #> 7876   493 1.1213778 0.258755786  fv      Gamma RP(P), Log-Normal    FALSE #> 7892   494 0.8594317 0.184538921  fv      Gamma RP(P), Log-Normal    FALSE #> 7908   495 0.9649592 0.211567053  fv      Gamma RP(P), Log-Normal    FALSE #> 7924   496 0.6773521 0.150596337  fv      Gamma RP(P), Log-Normal    FALSE #> 7940   497 0.9052519 0.196094400  fv      Gamma RP(P), Log-Normal    FALSE #> 7956   498 0.8116850 0.178283650  fv      Gamma RP(P), Log-Normal    FALSE #> 7972   499 1.1086720 0.241326577  fv      Gamma RP(P), Log-Normal    FALSE #> 7988   500 1.2773651 0.281428323  fv      Gamma RP(P), Log-Normal    FALSE #> 8004   501 0.8676161 0.186252713  fv      Gamma RP(P), Log-Normal    FALSE #> 8020   502 1.0407176 0.226742031  fv      Gamma RP(P), Log-Normal    FALSE #> 8036   503 0.7548621 0.161416065  fv      Gamma RP(P), Log-Normal    FALSE #> 8052   504 1.2077979 0.258824089  fv      Gamma RP(P), Log-Normal    FALSE #> 8068   505 1.4398156 0.321294471  fv      Gamma RP(P), Log-Normal    FALSE #> 8084   506 0.8624584 0.186157457  fv      Gamma RP(P), Log-Normal    FALSE #> 8100   507 0.6802796 0.145481059  fv      Gamma RP(P), Log-Normal    FALSE #> 8116   508 0.8342436 0.181087868  fv      Gamma RP(P), Log-Normal    FALSE #> 8132   509 0.8612357 0.185773025  fv      Gamma RP(P), Log-Normal    FALSE #> 8148   510 1.0875058 0.231453325  fv      Gamma RP(P), Log-Normal    FALSE #> 8164   511 0.9780855 0.214288070  fv      Gamma RP(P), Log-Normal    FALSE #> 8180   512 0.9185424 0.195605141  fv      Gamma RP(P), Log-Normal    FALSE #> 8196   513 0.7742017 0.169231006  fv      Gamma RP(P), Log-Normal    FALSE #> 8212   514 0.9812394 0.218050507  fv      Gamma RP(P), Log-Normal    FALSE #> 8228   515 0.8492711 0.186072576  fv      Gamma RP(P), Log-Normal    FALSE #> 8244   516 1.0440155 0.231448528  fv      Gamma RP(P), Log-Normal    FALSE #> 8260   517 1.1390878 0.249921695  fv      Gamma RP(P), Log-Normal    FALSE #> 8276   518 1.2314535 0.263976453  fv      Gamma RP(P), Log-Normal    FALSE #> 8292   519 0.8741643 0.188132491  fv      Gamma RP(P), Log-Normal    FALSE #> 8308   520 0.7946016 0.172820195  fv      Gamma RP(P), Log-Normal    FALSE #> 8324   521 0.7155341 0.154658107  fv      Gamma RP(P), Log-Normal    FALSE #> 8340   522 0.6586910 0.142144906  fv      Gamma RP(P), Log-Normal    FALSE #> 8356   523 0.9070928 0.201961629  fv      Gamma RP(P), Log-Normal    FALSE #> 8372   524 0.7949849 0.175434365  fv      Gamma RP(P), Log-Normal    FALSE #> 8388   525 1.3355748 0.288021411  fv      Gamma RP(P), Log-Normal    FALSE #> 8404   526 1.1111854 0.243883438  fv      Gamma RP(P), Log-Normal    FALSE #> 8420   527 0.9980110 0.225250690  fv      Gamma RP(P), Log-Normal    FALSE #> 8436   528 0.7536701 0.165035815  fv      Gamma RP(P), Log-Normal    FALSE #> 8452   529 1.2088138 0.264226878  fv      Gamma RP(P), Log-Normal    FALSE #> 8468   530 1.3388039 0.295083388  fv      Gamma RP(P), Log-Normal    FALSE #> 8484   531 1.0765928 0.230423607  fv      Gamma RP(P), Log-Normal    FALSE #> 8500   532 1.1797360 0.260368744  fv      Gamma RP(P), Log-Normal    FALSE #> 8516   533 0.9477534 0.207558206  fv      Gamma RP(P), Log-Normal    FALSE #> 8532   534 1.0563309 0.227002868  fv      Gamma RP(P), Log-Normal    FALSE #> 8548   535 1.4357549 0.313963101  fv      Gamma RP(P), Log-Normal    FALSE #> 8564   536 1.0051141 0.212301508  fv      Gamma RP(P), Log-Normal    FALSE #> 8580   537 0.9940413 0.229846666  fv      Gamma RP(P), Log-Normal    FALSE #> 8596   538 0.7485919 0.163118834  fv      Gamma RP(P), Log-Normal    FALSE #> 8612   539 1.2009352 0.262424788  fv      Gamma RP(P), Log-Normal    FALSE #> 8628   540 1.0656493 0.243252483  fv      Gamma RP(P), Log-Normal    FALSE #> 8644   541 0.7818527 0.171862648  fv      Gamma RP(P), Log-Normal    FALSE #> 8660   542 1.0476007 0.225722387  fv      Gamma RP(P), Log-Normal    FALSE #> 8676   543 1.1371033 0.243339241  fv      Gamma RP(P), Log-Normal    FALSE #> 8692   544 1.0773876 0.231123459  fv      Gamma RP(P), Log-Normal    FALSE #> 8708   545 0.9565211 0.212700204  fv      Gamma RP(P), Log-Normal    FALSE #> 8724   546 0.7647347 0.163566244  fv      Gamma RP(P), Log-Normal    FALSE #> 8740   547 0.8206825 0.176359832  fv      Gamma RP(P), Log-Normal    FALSE #> 8756   548 0.8505963 0.192550911  fv      Gamma RP(P), Log-Normal    FALSE #> 8772   549 1.0358106 0.229635225  fv      Gamma RP(P), Log-Normal    FALSE #> 8788   550 1.3523884 0.318258072  fv      Gamma RP(P), Log-Normal    FALSE #> 8804   551 0.9140688 0.197916220  fv      Gamma RP(P), Log-Normal    FALSE #> 8820   552 0.7505092 0.167863310  fv      Gamma RP(P), Log-Normal    FALSE #> 8836   553 0.7462582 0.163755065  fv      Gamma RP(P), Log-Normal    FALSE #> 8852   554 0.9503633 0.210343956  fv      Gamma RP(P), Log-Normal    FALSE #> 8868   555 0.6745831 0.145777323  fv      Gamma RP(P), Log-Normal    FALSE #> 8884   556 0.6796815 0.149173569  fv      Gamma RP(P), Log-Normal    FALSE #> 8900   557 1.7294668 0.385290497  fv      Gamma RP(P), Log-Normal     TRUE #> 8916   558 1.0353587 0.226097195  fv      Gamma RP(P), Log-Normal    FALSE #> 8932   559 0.8016693 0.181657786  fv      Gamma RP(P), Log-Normal    FALSE #> 8948   560 0.9729378 0.214345554  fv      Gamma RP(P), Log-Normal    FALSE #> 8964   561 1.0321929 0.223653751  fv      Gamma RP(P), Log-Normal    FALSE #> 8980   562 0.5768487 0.127198483  fv      Gamma RP(P), Log-Normal    FALSE #> 8996   563 1.0433632 0.228621090  fv      Gamma RP(P), Log-Normal    FALSE #> 9012   564 1.0641236 0.228678050  fv      Gamma RP(P), Log-Normal    FALSE #> 9028   565 1.1732304 0.270298444  fv      Gamma RP(P), Log-Normal    FALSE #> 9044   566 1.2237949 0.268476490  fv      Gamma RP(P), Log-Normal    FALSE #> 9060   567 0.9843680 0.216254289  fv      Gamma RP(P), Log-Normal    FALSE #> 9076   568 1.0225418 0.226931553  fv      Gamma RP(P), Log-Normal    FALSE #> 9092   569 0.9425398 0.212381043  fv      Gamma RP(P), Log-Normal    FALSE #> 9108   570 0.9305842 0.201175459  fv      Gamma RP(P), Log-Normal    FALSE #> 9124   571 0.9345155 0.201116344  fv      Gamma RP(P), Log-Normal    FALSE #> 9140   572 1.1021244 0.234409464  fv      Gamma RP(P), Log-Normal    FALSE #> 9156   573 0.6234484 0.137000395  fv      Gamma RP(P), Log-Normal    FALSE #> 9172   574 1.1480059 0.255124057  fv      Gamma RP(P), Log-Normal    FALSE #> 9188   575 0.9620612 0.211148150  fv      Gamma RP(P), Log-Normal    FALSE #> 9204   576 1.0678341 0.238868687  fv      Gamma RP(P), Log-Normal    FALSE #> 9220   577 0.9150045 0.204456329  fv      Gamma RP(P), Log-Normal    FALSE #> 9236   578 0.9233870 0.200603592  fv      Gamma RP(P), Log-Normal    FALSE #> 9252   579 0.7994219 0.174027563  fv      Gamma RP(P), Log-Normal    FALSE #> 9268   580 0.8585172 0.187898896  fv      Gamma RP(P), Log-Normal    FALSE #> 9284   581 1.1376346 0.243722038  fv      Gamma RP(P), Log-Normal    FALSE #> 9300   582 0.5331588 0.116180181  fv      Gamma RP(P), Log-Normal    FALSE #> 9316   583 1.2227234 0.266819438  fv      Gamma RP(P), Log-Normal    FALSE #> 9332   584 0.7424917 0.162892931  fv      Gamma RP(P), Log-Normal    FALSE #> 9348   585 1.4718067 0.317670941  fv      Gamma RP(P), Log-Normal    FALSE #> 9364   586 1.3376029 0.285083541  fv      Gamma RP(P), Log-Normal    FALSE #> 9380   587 1.0466999 0.227298927  fv      Gamma RP(P), Log-Normal    FALSE #> 9396   588 1.0628152 0.236226350  fv      Gamma RP(P), Log-Normal    FALSE #> 9412   589 0.7456047 0.162916840  fv      Gamma RP(P), Log-Normal    FALSE #> 9428   590 0.8908216 0.194809140  fv      Gamma RP(P), Log-Normal    FALSE #> 9444   591 0.9844521 0.217603161  fv      Gamma RP(P), Log-Normal    FALSE #> 9460   592 1.2872132 0.280054795  fv      Gamma RP(P), Log-Normal    FALSE #> 9476   593 0.9145775 0.207193045  fv      Gamma RP(P), Log-Normal    FALSE #> 9492   594 0.9446292 0.210280528  fv      Gamma RP(P), Log-Normal    FALSE #> 9508   595 0.8683941 0.185769779  fv      Gamma RP(P), Log-Normal    FALSE #> 9524   596 1.2043136 0.260901489  fv      Gamma RP(P), Log-Normal    FALSE #> 9540   597 1.2713689 0.283428607  fv      Gamma RP(P), Log-Normal    FALSE #> 9556   598 1.0191519 0.221381269  fv      Gamma RP(P), Log-Normal    FALSE #> 9572   599 1.5192954 0.325918384  fv      Gamma RP(P), Log-Normal     TRUE #> 9588   600 1.3131604 0.281586578  fv      Gamma RP(P), Log-Normal    FALSE #> 9604   601 0.9717941 0.212607335  fv      Gamma RP(P), Log-Normal    FALSE #> 9620   602 1.1056106 0.248359854  fv      Gamma RP(P), Log-Normal    FALSE #> 9636   603 0.9020656 0.196090741  fv      Gamma RP(P), Log-Normal    FALSE #> 9652   604 1.2529459 0.293640836  fv      Gamma RP(P), Log-Normal    FALSE #> 9668   605 1.2259883 0.274240763  fv      Gamma RP(P), Log-Normal    FALSE #> 9684   606 1.0511216 0.228404129  fv      Gamma RP(P), Log-Normal    FALSE #> 9700   607 0.8190508 0.180281936  fv      Gamma RP(P), Log-Normal    FALSE #> 9716   608 1.0311424 0.221802458  fv      Gamma RP(P), Log-Normal    FALSE #> 9732   609 1.3455592 0.295910286  fv      Gamma RP(P), Log-Normal    FALSE #> 9748   610 1.1642916 0.254371166  fv      Gamma RP(P), Log-Normal    FALSE #> 9764   611 0.8758176 0.192522572  fv      Gamma RP(P), Log-Normal    FALSE #> 9780   612 1.2516100 0.272167401  fv      Gamma RP(P), Log-Normal    FALSE #> 9796   613 0.9097464 0.194713999  fv      Gamma RP(P), Log-Normal    FALSE #> 9812   614 0.8241780 0.176682356  fv      Gamma RP(P), Log-Normal    FALSE #> 9828   615 0.7807667 0.169402047  fv      Gamma RP(P), Log-Normal    FALSE #> 9844   616 1.3256338 0.290042297  fv      Gamma RP(P), Log-Normal    FALSE #> 9860   617 1.3554468 0.302421137  fv      Gamma RP(P), Log-Normal    FALSE #> 9876   618 0.7059805 0.153032728  fv      Gamma RP(P), Log-Normal    FALSE #> 9892   619 0.7640548 0.164327342  fv      Gamma RP(P), Log-Normal    FALSE #> 9908   620 0.9324604 0.205897957  fv      Gamma RP(P), Log-Normal    FALSE #> 9924   621 1.0897527 0.237414370  fv      Gamma RP(P), Log-Normal    FALSE #> 9940   622 1.6936806 0.371698035  fv      Gamma RP(P), Log-Normal     TRUE #> 9956   623 0.6527658 0.139972359  fv      Gamma RP(P), Log-Normal    FALSE #> 9972   624 0.9466176 0.203085311  fv      Gamma RP(P), Log-Normal    FALSE #> 9988   625 0.9681196 0.214775219  fv      Gamma RP(P), Log-Normal    FALSE #> 10004  626 0.6523744 0.142834891  fv      Gamma RP(P), Log-Normal    FALSE #> 10020  627 0.8021879 0.184418783  fv      Gamma RP(P), Log-Normal    FALSE #> 10036  628 0.9225400 0.197465937  fv      Gamma RP(P), Log-Normal    FALSE #> 10052  629 0.7501559 0.167348318  fv      Gamma RP(P), Log-Normal    FALSE #> 10068  630 1.0706745 0.227798971  fv      Gamma RP(P), Log-Normal    FALSE #> 10084  631 1.2827158 0.297285469  fv      Gamma RP(P), Log-Normal    FALSE #> 10100  632 0.6876342 0.149439809  fv      Gamma RP(P), Log-Normal    FALSE #> 10116  633 0.7028224 0.154619674  fv      Gamma RP(P), Log-Normal    FALSE #> 10132  634 0.7042120 0.153299268  fv      Gamma RP(P), Log-Normal    FALSE #> 10148  635 0.5541380 0.122244773  fv      Gamma RP(P), Log-Normal    FALSE #> 10164  636 0.8544896 0.190728571  fv      Gamma RP(P), Log-Normal    FALSE #> 10180  637 0.9603207 0.207191756  fv      Gamma RP(P), Log-Normal    FALSE #> 10196  638 0.7983102 0.182031114  fv      Gamma RP(P), Log-Normal    FALSE #> 10212  639 0.8838410 0.190983119  fv      Gamma RP(P), Log-Normal    FALSE #> 10228  640 0.6961483 0.152110407  fv      Gamma RP(P), Log-Normal    FALSE #> 10244  641 0.8369696 0.179150999  fv      Gamma RP(P), Log-Normal    FALSE #> 10260  642 0.9306106 0.205637032  fv      Gamma RP(P), Log-Normal    FALSE #> 10276  643 0.8113072 0.177171734  fv      Gamma RP(P), Log-Normal    FALSE #> 10292  644 1.3693170 0.317286312  fv      Gamma RP(P), Log-Normal    FALSE #> 10308  645 0.6575557 0.143623229  fv      Gamma RP(P), Log-Normal    FALSE #> 10324  646 0.7264648 0.160017681  fv      Gamma RP(P), Log-Normal    FALSE #> 10340  647 1.8140427 0.405472844  fv      Gamma RP(P), Log-Normal     TRUE #> 10356  648 0.9039734 0.192803400  fv      Gamma RP(P), Log-Normal    FALSE #> 10372  649 1.1307165 0.245793699  fv      Gamma RP(P), Log-Normal    FALSE #> 10388  650 1.3697853 0.300532613  fv      Gamma RP(P), Log-Normal    FALSE #> 10404  651 1.3913723 0.303438110  fv      Gamma RP(P), Log-Normal    FALSE #> 10420  652 0.9976010 0.218156662  fv      Gamma RP(P), Log-Normal    FALSE #> 10436  653 1.3997037 0.316519464  fv      Gamma RP(P), Log-Normal    FALSE #> 10452  654 0.7512885 0.164131512  fv      Gamma RP(P), Log-Normal    FALSE #> 10468  655 0.8184646 0.175458083  fv      Gamma RP(P), Log-Normal    FALSE #> 10484  656 0.9856965 0.213573425  fv      Gamma RP(P), Log-Normal    FALSE #> 10500  657 0.9542220 0.209937231  fv      Gamma RP(P), Log-Normal    FALSE #> 10516  658 1.0526322 0.230309237  fv      Gamma RP(P), Log-Normal    FALSE #> 10532  659 1.1040578 0.242269392  fv      Gamma RP(P), Log-Normal    FALSE #> 10548  660 1.1274148 0.257234161  fv      Gamma RP(P), Log-Normal    FALSE #> 10564  661 0.8272565 0.181590492  fv      Gamma RP(P), Log-Normal    FALSE #> 10580  662 0.5442579 0.118095785  fv      Gamma RP(P), Log-Normal    FALSE #> 10596  663 0.7790189 0.168677889  fv      Gamma RP(P), Log-Normal    FALSE #> 10612  664 0.9338401 0.199297546  fv      Gamma RP(P), Log-Normal    FALSE #> 10628  665 0.9666500 0.213744208  fv      Gamma RP(P), Log-Normal    FALSE #> 10644  666 0.9744446 0.220001257  fv      Gamma RP(P), Log-Normal    FALSE #> 10660  667 1.1828443 0.261467314  fv      Gamma RP(P), Log-Normal    FALSE #> 10676  668 1.2192520 0.274526839  fv      Gamma RP(P), Log-Normal    FALSE #> 10692  669 0.7113574 0.156924713  fv      Gamma RP(P), Log-Normal    FALSE #> 10708  670 1.1756310 0.262566467  fv      Gamma RP(P), Log-Normal    FALSE #> 10724  671 1.2383003 0.270216646  fv      Gamma RP(P), Log-Normal    FALSE #> 10740  672 0.7815664 0.169986858  fv      Gamma RP(P), Log-Normal    FALSE #> 10756  673 0.8229793 0.176870677  fv      Gamma RP(P), Log-Normal    FALSE #> 10772  674 1.3774475 0.311832718  fv      Gamma RP(P), Log-Normal    FALSE #> 10788  675 0.9621601 0.207902235  fv      Gamma RP(P), Log-Normal    FALSE #> 10804  676 0.6528028 0.150614959  fv      Gamma RP(P), Log-Normal    FALSE #> 10820  677 0.8233554 0.177246238  fv      Gamma RP(P), Log-Normal    FALSE #> 10836  678 1.1489514 0.253442670  fv      Gamma RP(P), Log-Normal    FALSE #> 10852  679 1.4208344 0.311543201  fv      Gamma RP(P), Log-Normal    FALSE #> 10868  680 1.0054416 0.232372166  fv      Gamma RP(P), Log-Normal    FALSE #> 10884  681 0.7391488 0.162759723  fv      Gamma RP(P), Log-Normal    FALSE #> 10900  682 0.9652976 0.207135311  fv      Gamma RP(P), Log-Normal    FALSE #> 10916  683 1.1870484 0.264442808  fv      Gamma RP(P), Log-Normal    FALSE #> 10932  684 1.2401849 0.268198690  fv      Gamma RP(P), Log-Normal    FALSE #> 10948  685 0.8596652 0.187197015  fv      Gamma RP(P), Log-Normal    FALSE #> 10964  686 0.6571789 0.143054753  fv      Gamma RP(P), Log-Normal    FALSE #> 10980  687 1.3996390 0.301433070  fv      Gamma RP(P), Log-Normal    FALSE #> 10996  688 0.9489165 0.205546007  fv      Gamma RP(P), Log-Normal    FALSE #> 11012  689 0.8114256 0.172547414  fv      Gamma RP(P), Log-Normal    FALSE #> 11028  690 1.2437062 0.265491213  fv      Gamma RP(P), Log-Normal    FALSE #> 11044  691 1.0092470 0.219771733  fv      Gamma RP(P), Log-Normal    FALSE #> 11060  692 0.9598097 0.205613691  fv      Gamma RP(P), Log-Normal    FALSE #> 11076  693 1.3113167 0.296323950  fv      Gamma RP(P), Log-Normal    FALSE #> 11092  694 1.0933889 0.242376514  fv      Gamma RP(P), Log-Normal    FALSE #> 11108  695 1.0333338 0.234007271  fv      Gamma RP(P), Log-Normal    FALSE #> 11124  696 1.0102497 0.229737838  fv      Gamma RP(P), Log-Normal    FALSE #> 11140  697 1.0358479 0.225442770  fv      Gamma RP(P), Log-Normal    FALSE #> 11156  698 1.0073535 0.220756703  fv      Gamma RP(P), Log-Normal    FALSE #> 11172  699 0.9466231 0.201809941  fv      Gamma RP(P), Log-Normal    FALSE #> 11188  700 1.6203374 0.346406720  fv      Gamma RP(P), Log-Normal     TRUE #> 11204  701 0.8178477 0.176518370  fv      Gamma RP(P), Log-Normal    FALSE #> 11220  702 0.8281316 0.185009839  fv      Gamma RP(P), Log-Normal    FALSE #> 11236  703 0.7131766 0.156512821  fv      Gamma RP(P), Log-Normal    FALSE #> 11252  704 1.2908383 0.275089666  fv      Gamma RP(P), Log-Normal    FALSE #> 11268  705 1.4435519 0.314942107  fv      Gamma RP(P), Log-Normal    FALSE #> 11284  706 1.0319566 0.223149598  fv      Gamma RP(P), Log-Normal    FALSE #> 11300  707 0.7611768 0.169895358  fv      Gamma RP(P), Log-Normal    FALSE #> 11316  708 1.1576638 0.261635419  fv      Gamma RP(P), Log-Normal    FALSE #> 11332  709 0.9334649 0.200133791  fv      Gamma RP(P), Log-Normal    FALSE #> 11348  710 0.9774021 0.208540201  fv      Gamma RP(P), Log-Normal    FALSE #> 11364  711 0.4418561 0.097246388  fv      Gamma RP(P), Log-Normal     TRUE #> 11380  712 0.9598169 0.208774489  fv      Gamma RP(P), Log-Normal    FALSE #> 11396  713 1.0013023 0.213927288  fv      Gamma RP(P), Log-Normal    FALSE #> 11412  714 1.2931185 0.294648103  fv      Gamma RP(P), Log-Normal    FALSE #> 11428  715 1.3871912 0.304898248  fv      Gamma RP(P), Log-Normal    FALSE #> 11444  716 1.0762644 0.237239678  fv      Gamma RP(P), Log-Normal    FALSE #> 11460  717 0.8472068 0.196043062  fv      Gamma RP(P), Log-Normal    FALSE #> 11476  718 1.0140154 0.225564166  fv      Gamma RP(P), Log-Normal    FALSE #> 11492  719 0.7918815 0.168968345  fv      Gamma RP(P), Log-Normal    FALSE #> 11508  720 0.8275318 0.180171933  fv      Gamma RP(P), Log-Normal    FALSE #> 11524  721 1.0706093 0.233121948  fv      Gamma RP(P), Log-Normal    FALSE #> 11540  722 1.2852624 0.283010838  fv      Gamma RP(P), Log-Normal    FALSE #> 11556  723 1.0671711 0.239730437  fv      Gamma RP(P), Log-Normal    FALSE #> 11572  724 0.7945824 0.172668400  fv      Gamma RP(P), Log-Normal    FALSE #> 11588  725 0.8761793 0.190162437  fv      Gamma RP(P), Log-Normal    FALSE #> 11604  726 0.7683224 0.169454349  fv      Gamma RP(P), Log-Normal    FALSE #> 11620  727 1.1401463 0.252371583  fv      Gamma RP(P), Log-Normal    FALSE #> 11636  728 0.6869455 0.156140309  fv      Gamma RP(P), Log-Normal    FALSE #> 11652  729 1.0045609 0.214384308  fv      Gamma RP(P), Log-Normal    FALSE #> 11668  730 1.3739350 0.314933136  fv      Gamma RP(P), Log-Normal    FALSE #> 11684  731 1.4105734 0.312439279  fv      Gamma RP(P), Log-Normal    FALSE #> 11700  732 1.2408039 0.265123430  fv      Gamma RP(P), Log-Normal    FALSE #> 11716  733 0.7434313 0.162871630  fv      Gamma RP(P), Log-Normal    FALSE #> 11732  734 0.7670277 0.169974871  fv      Gamma RP(P), Log-Normal    FALSE #> 11748  735 1.1391446 0.249095776  fv      Gamma RP(P), Log-Normal    FALSE #> 11764  736 1.0869389 0.241739791  fv      Gamma RP(P), Log-Normal    FALSE #> 11780  737 0.9900843 0.215836490  fv      Gamma RP(P), Log-Normal    FALSE #> 11796  738 0.8400574 0.198380530  fv      Gamma RP(P), Log-Normal    FALSE #> 11812  739 0.9098679 0.198083628  fv      Gamma RP(P), Log-Normal    FALSE #> 11828  740 0.8715673 0.188184780  fv      Gamma RP(P), Log-Normal    FALSE #> 11844  741 1.0522008 0.231884466  fv      Gamma RP(P), Log-Normal    FALSE #> 11860  742 0.7308650 0.157131775  fv      Gamma RP(P), Log-Normal    FALSE #> 11876  743 1.0840980 0.236451512  fv      Gamma RP(P), Log-Normal    FALSE #> 11892  744 1.4346874 0.319759809  fv      Gamma RP(P), Log-Normal    FALSE #> 11908  745 0.8684263 0.196492889  fv      Gamma RP(P), Log-Normal    FALSE #> 11924  746 0.5042351 0.108711465  fv      Gamma RP(P), Log-Normal    FALSE #> 11940  747 0.8521053 0.186267508  fv      Gamma RP(P), Log-Normal    FALSE #> 11956  748 1.0776501 0.229694112  fv      Gamma RP(P), Log-Normal    FALSE #> 11972  749 0.8956342 0.198659923  fv      Gamma RP(P), Log-Normal    FALSE #> 11988  750 0.6991894 0.151825792  fv      Gamma RP(P), Log-Normal    FALSE #> 12004  751 1.1707087 0.250296870  fv      Gamma RP(P), Log-Normal    FALSE #> 12020  752 1.0602200 0.230669899  fv      Gamma RP(P), Log-Normal    FALSE #> 12036  753 0.7372900 0.163529975  fv      Gamma RP(P), Log-Normal    FALSE #> 12052  754 1.0951085 0.238851460  fv      Gamma RP(P), Log-Normal    FALSE #> 12068  755 0.9993447 0.215552225  fv      Gamma RP(P), Log-Normal    FALSE #> 12084  756 1.5740582 0.337943971  fv      Gamma RP(P), Log-Normal     TRUE #> 12100  757 0.7728525 0.169474840  fv      Gamma RP(P), Log-Normal    FALSE #> 12116  758 0.6452476 0.140301410  fv      Gamma RP(P), Log-Normal    FALSE #> 12132  759 0.7901227 0.171488061  fv      Gamma RP(P), Log-Normal    FALSE #> 12148  760 0.7639433 0.164920427  fv      Gamma RP(P), Log-Normal    FALSE #> 12164  761 1.0515490 0.232290105  fv      Gamma RP(P), Log-Normal    FALSE #> 12180  762 0.8354865 0.180633162  fv      Gamma RP(P), Log-Normal    FALSE #> 12196  763 0.7587626 0.164916919  fv      Gamma RP(P), Log-Normal    FALSE #> 12212  764 0.9886533 0.219427415  fv      Gamma RP(P), Log-Normal    FALSE #> 12228  765 0.7802736 0.170307432  fv      Gamma RP(P), Log-Normal    FALSE #> 12244  766 0.6561777 0.142009060  fv      Gamma RP(P), Log-Normal    FALSE #> 12260  767 0.9769743 0.213573667  fv      Gamma RP(P), Log-Normal    FALSE #> 12276  768 1.0293469 0.224440289  fv      Gamma RP(P), Log-Normal    FALSE #> 12292  769 1.0177818 0.217646319  fv      Gamma RP(P), Log-Normal    FALSE #> 12308  770 0.7562416 0.168946252  fv      Gamma RP(P), Log-Normal    FALSE #> 12324  771 0.6463465 0.139187794  fv      Gamma RP(P), Log-Normal    FALSE #> 12340  772 1.1961842 0.271932662  fv      Gamma RP(P), Log-Normal    FALSE #> 12356  773 0.8067420 0.176962096  fv      Gamma RP(P), Log-Normal    FALSE #> 12372  774 0.9520088 0.205128560  fv      Gamma RP(P), Log-Normal    FALSE #> 12388  775 1.4347408 0.319703347  fv      Gamma RP(P), Log-Normal    FALSE #> 12404  776 0.9481417 0.202311942  fv      Gamma RP(P), Log-Normal    FALSE #> 12420  777 0.8016802 0.175031737  fv      Gamma RP(P), Log-Normal    FALSE #> 12436  778 1.1275293 0.249908367  fv      Gamma RP(P), Log-Normal    FALSE #> 12452  779 1.1870282 0.261537316  fv      Gamma RP(P), Log-Normal    FALSE #> 12468  780 1.1268945 0.249877221  fv      Gamma RP(P), Log-Normal    FALSE #> 12484  781 0.8099723 0.181662555  fv      Gamma RP(P), Log-Normal    FALSE #> 12500  782 0.9387734 0.218754552  fv      Gamma RP(P), Log-Normal    FALSE #> 12516  783 0.9578883 0.204613312  fv      Gamma RP(P), Log-Normal    FALSE #> 12532  784 0.8156845 0.174404492  fv      Gamma RP(P), Log-Normal    FALSE #> 12548  785 0.8247289 0.177841946  fv      Gamma RP(P), Log-Normal    FALSE #> 12564  786 1.0226574 0.217558799  fv      Gamma RP(P), Log-Normal    FALSE #> 12580  787 1.2335064 0.284150031  fv      Gamma RP(P), Log-Normal    FALSE #> 12596  788 1.0013196 0.221958849  fv      Gamma RP(P), Log-Normal    FALSE #> 12612  789 1.0288684 0.227267275  fv      Gamma RP(P), Log-Normal    FALSE #> 12628  790 1.3948807 0.318147375  fv      Gamma RP(P), Log-Normal    FALSE #> 12644  791 1.2962548 0.289253927  fv      Gamma RP(P), Log-Normal    FALSE #> 12660  792 1.3337738 0.290805393  fv      Gamma RP(P), Log-Normal    FALSE #> 12676  793 0.8720682 0.188928270  fv      Gamma RP(P), Log-Normal    FALSE #> 12692  794 0.4682845 0.102407124  fv      Gamma RP(P), Log-Normal     TRUE #> 12708  795 0.9519556 0.210182873  fv      Gamma RP(P), Log-Normal    FALSE #> 12724  796 1.0864968 0.238092719  fv      Gamma RP(P), Log-Normal    FALSE #> 12740  797 0.7159644 0.155862128  fv      Gamma RP(P), Log-Normal    FALSE #> 12756  798 0.7497156 0.165610200  fv      Gamma RP(P), Log-Normal    FALSE #> 12772  799 1.4945789 0.345846891  fv      Gamma RP(P), Log-Normal     TRUE #> 12788  800 1.2630625 0.274880885  fv      Gamma RP(P), Log-Normal    FALSE #> 12804  801 0.7800030 0.172871017  fv      Gamma RP(P), Log-Normal    FALSE #> 12820  802 0.8108326 0.174897662  fv      Gamma RP(P), Log-Normal    FALSE #> 12836  803 0.9512588 0.202956493  fv      Gamma RP(P), Log-Normal    FALSE #> 12852  804 1.0362523 0.225794955  fv      Gamma RP(P), Log-Normal    FALSE #> 12868  805 0.9811922 0.212636632  fv      Gamma RP(P), Log-Normal    FALSE #> 12884  806 0.7326683 0.158761559  fv      Gamma RP(P), Log-Normal    FALSE #> 12900  807 1.2740750 0.276544259  fv      Gamma RP(P), Log-Normal    FALSE #> 12916  808 0.9781884 0.222359075  fv      Gamma RP(P), Log-Normal    FALSE #> 12932  809 1.3453651 0.309478390  fv      Gamma RP(P), Log-Normal    FALSE #> 12948  810 0.9232016 0.196664367  fv      Gamma RP(P), Log-Normal    FALSE #> 12964  811 1.3197955 0.283396132  fv      Gamma RP(P), Log-Normal    FALSE #> 12980  812 0.8368495 0.182262628  fv      Gamma RP(P), Log-Normal    FALSE #> 12996  813 1.1692435 0.253391788  fv      Gamma RP(P), Log-Normal    FALSE #> 13012  814 0.9869950 0.215275425  fv      Gamma RP(P), Log-Normal    FALSE #> 13028  815 1.4267797 0.314102008  fv      Gamma RP(P), Log-Normal    FALSE #> 13044  816 0.7096351 0.156897106  fv      Gamma RP(P), Log-Normal    FALSE #> 13060  817 1.2207826 0.279563602  fv      Gamma RP(P), Log-Normal    FALSE #> 13076  818 0.8781833 0.195168438  fv      Gamma RP(P), Log-Normal    FALSE #> 13092  819 1.3528171 0.307115701  fv      Gamma RP(P), Log-Normal    FALSE #> 13108  820 0.8750937 0.190140123  fv      Gamma RP(P), Log-Normal    FALSE #> 13124  821 1.0024784 0.225742050  fv      Gamma RP(P), Log-Normal    FALSE #> 13140  822 0.6059361 0.130452065  fv      Gamma RP(P), Log-Normal    FALSE #> 13156  823 1.0219096 0.227328071  fv      Gamma RP(P), Log-Normal    FALSE #> 13172  824 0.9918559 0.217538890  fv      Gamma RP(P), Log-Normal    FALSE #> 13188  825 0.6366212 0.136266805  fv      Gamma RP(P), Log-Normal    FALSE #> 13204  826 0.9444450 0.201370921  fv      Gamma RP(P), Log-Normal    FALSE #> 13220  827 0.9275230 0.201228122  fv      Gamma RP(P), Log-Normal    FALSE #> 13236  828 1.4648905 0.331911086  fv      Gamma RP(P), Log-Normal     TRUE #> 13252  829 0.7088462 0.152408167  fv      Gamma RP(P), Log-Normal    FALSE #> 13268  830 1.2836749 0.282634446  fv      Gamma RP(P), Log-Normal    FALSE #> 13284  831 0.7178710 0.163143070  fv      Gamma RP(P), Log-Normal    FALSE #> 13300  832 0.8691501 0.185987043  fv      Gamma RP(P), Log-Normal    FALSE #> 13316  833 0.9918025 0.216794384  fv      Gamma RP(P), Log-Normal    FALSE #> 13332  834 0.6561897 0.145029001  fv      Gamma RP(P), Log-Normal    FALSE #> 13348  835 0.9531690 0.206507185  fv      Gamma RP(P), Log-Normal    FALSE #> 13364  836 0.9457929 0.208627065  fv      Gamma RP(P), Log-Normal    FALSE #> 13380  837 0.9604259 0.214827897  fv      Gamma RP(P), Log-Normal    FALSE #> 13396  838 1.2231002 0.262948896  fv      Gamma RP(P), Log-Normal    FALSE #> 13412  839 0.7639873 0.164814888  fv      Gamma RP(P), Log-Normal    FALSE #> 13428  840 1.0584085 0.233394444  fv      Gamma RP(P), Log-Normal    FALSE #> 13444  841 0.9060566 0.191644127  fv      Gamma RP(P), Log-Normal    FALSE #> 13460  842 0.9981854 0.222833868  fv      Gamma RP(P), Log-Normal    FALSE #> 13476  843 1.3271882 0.294385787  fv      Gamma RP(P), Log-Normal    FALSE #> 13492  844 1.0083776 0.222785765  fv      Gamma RP(P), Log-Normal    FALSE #> 13508  845 1.4067028 0.311118514  fv      Gamma RP(P), Log-Normal    FALSE #> 13524  846 0.8457063 0.189664761  fv      Gamma RP(P), Log-Normal    FALSE #> 13540  847 0.8266072 0.185765621  fv      Gamma RP(P), Log-Normal    FALSE #> 13556  848 0.5911078 0.127933794  fv      Gamma RP(P), Log-Normal    FALSE #> 13572  849 0.9435684 0.200827455  fv      Gamma RP(P), Log-Normal    FALSE #> 13588  850 0.8421106 0.180835192  fv      Gamma RP(P), Log-Normal    FALSE #> 13604  851 0.9838631 0.215975837  fv      Gamma RP(P), Log-Normal    FALSE #> 13620  852 0.5626470 0.122791446  fv      Gamma RP(P), Log-Normal    FALSE #> 13636  853 0.9664855 0.207250226  fv      Gamma RP(P), Log-Normal    FALSE #> 13652  854 0.7210802 0.158669568  fv      Gamma RP(P), Log-Normal    FALSE #> 13668  855 1.2549558 0.273909144  fv      Gamma RP(P), Log-Normal    FALSE #> 13684  856 1.0890084 0.235216876  fv      Gamma RP(P), Log-Normal    FALSE #> 13700  857 0.7349918 0.162187111  fv      Gamma RP(P), Log-Normal    FALSE #> 13716  858 0.8738882 0.193200988  fv      Gamma RP(P), Log-Normal    FALSE #> 13732  859 0.8725583 0.195344571  fv      Gamma RP(P), Log-Normal    FALSE #> 13748  860 0.7565733 0.161739089  fv      Gamma RP(P), Log-Normal    FALSE #> 13764  861 1.1321227 0.246524283  fv      Gamma RP(P), Log-Normal    FALSE #> 13780  862 0.8393021 0.180926336  fv      Gamma RP(P), Log-Normal    FALSE #> 13796  863 1.0161557 0.222141368  fv      Gamma RP(P), Log-Normal    FALSE #> 13812  864 0.9572296 0.210418635  fv      Gamma RP(P), Log-Normal    FALSE #> 13828  865 1.0152870 0.222102537  fv      Gamma RP(P), Log-Normal    FALSE #> 13844  866 0.7984746 0.170205293  fv      Gamma RP(P), Log-Normal    FALSE #> 13860  867 0.9096029 0.196759398  fv      Gamma RP(P), Log-Normal    FALSE #> 13876  868 0.9705552 0.210115673  fv      Gamma RP(P), Log-Normal    FALSE #> 13892  869 1.0294965 0.226495818  fv      Gamma RP(P), Log-Normal    FALSE #> 13908  870 0.9585866 0.217548683  fv      Gamma RP(P), Log-Normal    FALSE #> 13924  871 1.2540751 0.273750013  fv      Gamma RP(P), Log-Normal    FALSE #> 13940  872 1.3178539 0.292907644  fv      Gamma RP(P), Log-Normal    FALSE #> 13956  873 1.1780594 0.254082562  fv      Gamma RP(P), Log-Normal    FALSE #> 13972  874 1.5369549 0.349989569  fv      Gamma RP(P), Log-Normal     TRUE #> 13988  875 0.7606339 0.164512020  fv      Gamma RP(P), Log-Normal    FALSE #> 14004  876 0.8818046 0.191259261  fv      Gamma RP(P), Log-Normal    FALSE #> 14020  877 1.0016215 0.217910809  fv      Gamma RP(P), Log-Normal    FALSE #> 14036  878 1.0960247 0.243448439  fv      Gamma RP(P), Log-Normal    FALSE #> 14052  879 0.9010159 0.208415640  fv      Gamma RP(P), Log-Normal    FALSE #> 14068  880 1.4167836 0.309960875  fv      Gamma RP(P), Log-Normal    FALSE #> 14084  881 1.1367712 0.251722155  fv      Gamma RP(P), Log-Normal    FALSE #> 14100  882 1.2721470 0.272715293  fv      Gamma RP(P), Log-Normal    FALSE #> 14116  883 0.7534025 0.164687938  fv      Gamma RP(P), Log-Normal    FALSE #> 14132  884 0.7895471 0.169947985  fv      Gamma RP(P), Log-Normal    FALSE #> 14148  885 0.7598150 0.165598184  fv      Gamma RP(P), Log-Normal    FALSE #> 14164  886 0.7546992 0.165577188  fv      Gamma RP(P), Log-Normal    FALSE #> 14180  887 0.9464325 0.207391951  fv      Gamma RP(P), Log-Normal    FALSE #> 14196  888 1.3249936 0.285528452  fv      Gamma RP(P), Log-Normal    FALSE #> 14212  889 1.0483529 0.223855961  fv      Gamma RP(P), Log-Normal    FALSE #> 14228  890 0.7960197 0.175686722  fv      Gamma RP(P), Log-Normal    FALSE #> 14244  891 0.6057941 0.129842155  fv      Gamma RP(P), Log-Normal    FALSE #> 14260  892 0.9117945 0.197815689  fv      Gamma RP(P), Log-Normal    FALSE #> 14276  893 1.1931191 0.269494148  fv      Gamma RP(P), Log-Normal    FALSE #> 14292  894 0.7163861 0.156284310  fv      Gamma RP(P), Log-Normal    FALSE #> 14308  895 0.8521234 0.181727642  fv      Gamma RP(P), Log-Normal    FALSE #> 14324  896 1.1969657 0.257466332  fv      Gamma RP(P), Log-Normal    FALSE #> 14340  897 0.8738869 0.187008230  fv      Gamma RP(P), Log-Normal    FALSE #> 14356  898 1.1901902 0.254087597  fv      Gamma RP(P), Log-Normal    FALSE #> 14372  899 1.0493014 0.231872092  fv      Gamma RP(P), Log-Normal    FALSE #> 14388  900 1.1641367 0.259296079  fv      Gamma RP(P), Log-Normal    FALSE #> 14404  901 0.7441833 0.162379902  fv      Gamma RP(P), Log-Normal    FALSE #> 14420  902 0.7006841 0.150598713  fv      Gamma RP(P), Log-Normal    FALSE #> 14436  903 0.7852252 0.167720028  fv      Gamma RP(P), Log-Normal    FALSE #> 14452  904 1.5979510 0.368445748  fv      Gamma RP(P), Log-Normal     TRUE #> 14468  905 0.7930490 0.170065240  fv      Gamma RP(P), Log-Normal    FALSE #> 14484  906 1.3977134 0.301200536  fv      Gamma RP(P), Log-Normal    FALSE #> 14500  907 1.0303398 0.225804461  fv      Gamma RP(P), Log-Normal    FALSE #> 14516  908 0.8813457 0.201251276  fv      Gamma RP(P), Log-Normal    FALSE #> 14532  909 0.7644669 0.167107442  fv      Gamma RP(P), Log-Normal    FALSE #> 14548  910 0.6744757 0.145971855  fv      Gamma RP(P), Log-Normal    FALSE #> 14564  911 0.9481477 0.214870715  fv      Gamma RP(P), Log-Normal    FALSE #> 14580  912 0.6898847 0.148216456  fv      Gamma RP(P), Log-Normal    FALSE #> 14596  913 0.9740810 0.210880647  fv      Gamma RP(P), Log-Normal    FALSE #> 14612  914 0.8619948 0.192708186  fv      Gamma RP(P), Log-Normal    FALSE #> 14628  915 1.1804584 0.260025660  fv      Gamma RP(P), Log-Normal    FALSE #> 14644  916 0.6691827 0.144375958  fv      Gamma RP(P), Log-Normal    FALSE #> 14660  917 1.0113326 0.222850102  fv      Gamma RP(P), Log-Normal    FALSE #> 14676  918 1.0209571 0.217855650  fv      Gamma RP(P), Log-Normal    FALSE #> 14692  919 0.6796905 0.145360386  fv      Gamma RP(P), Log-Normal    FALSE #> 14708  920 0.9871577 0.211586286  fv      Gamma RP(P), Log-Normal    FALSE #> 14724  921 1.1250715 0.248801866  fv      Gamma RP(P), Log-Normal    FALSE #> 14740  922 1.6097787 0.362204329  fv      Gamma RP(P), Log-Normal     TRUE #> 14756  923 0.9436780 0.203595015  fv      Gamma RP(P), Log-Normal    FALSE #> 14772  924 0.9564219 0.203337756  fv      Gamma RP(P), Log-Normal    FALSE #> 14788  925 1.2119817 0.273392844  fv      Gamma RP(P), Log-Normal    FALSE #> 14804  926 0.9400838 0.200647180  fv      Gamma RP(P), Log-Normal    FALSE #> 14820  927 0.5509122 0.120006203  fv      Gamma RP(P), Log-Normal    FALSE #> 14836  928 0.9335398 0.201024284  fv      Gamma RP(P), Log-Normal    FALSE #> 14852  929 1.0175155 0.223295340  fv      Gamma RP(P), Log-Normal    FALSE #> 14868  930 1.4778512 0.339083118  fv      Gamma RP(P), Log-Normal     TRUE #> 14884  931 0.9049402 0.195294270  fv      Gamma RP(P), Log-Normal    FALSE #> 14900  932 1.2187532 0.262280942  fv      Gamma RP(P), Log-Normal    FALSE #> 14916  933 0.7691144 0.167095118  fv      Gamma RP(P), Log-Normal    FALSE #> 14932  934 0.7255674 0.155278746  fv      Gamma RP(P), Log-Normal    FALSE #> 14948  935 0.5660748 0.122968010  fv      Gamma RP(P), Log-Normal    FALSE #> 14964  936 0.7769992 0.168390284  fv      Gamma RP(P), Log-Normal    FALSE #> 14980  937 1.4918244 0.328500321  fv      Gamma RP(P), Log-Normal     TRUE #> 14996  938 1.0659751 0.233315986  fv      Gamma RP(P), Log-Normal    FALSE #> 15012  939 1.0236145 0.218522667  fv      Gamma RP(P), Log-Normal    FALSE #> 15028  940 1.0295400 0.221691720  fv      Gamma RP(P), Log-Normal    FALSE #> 15044  941 0.8047617 0.173567485  fv      Gamma RP(P), Log-Normal    FALSE #> 15060  942 0.8464834 0.185539126  fv      Gamma RP(P), Log-Normal    FALSE #> 15076  943 0.5599465 0.122123725  fv      Gamma RP(P), Log-Normal    FALSE #> 15092  944 0.7749006 0.165689234  fv      Gamma RP(P), Log-Normal    FALSE #> 15108  945 0.7455152 0.160417654  fv      Gamma RP(P), Log-Normal    FALSE #> 15124  946 1.1738343 0.268801235  fv      Gamma RP(P), Log-Normal    FALSE #> 15140  947 0.8388128 0.185803625  fv      Gamma RP(P), Log-Normal    FALSE #> 15156  948 0.6952556 0.158342180  fv      Gamma RP(P), Log-Normal    FALSE #> 15172  949 0.8177120 0.182041579  fv      Gamma RP(P), Log-Normal    FALSE #> 15188  950 0.7743235 0.171749308  fv      Gamma RP(P), Log-Normal    FALSE #> 15204  951 1.0063523 0.219655118  fv      Gamma RP(P), Log-Normal    FALSE #> 15220  952 0.8235324 0.177580617  fv      Gamma RP(P), Log-Normal    FALSE #> 15236  953 1.6557073 0.364829706  fv      Gamma RP(P), Log-Normal     TRUE #> 15252  954 0.8653755 0.187285027  fv      Gamma RP(P), Log-Normal    FALSE #> 15268  955 1.0301056 0.220205471  fv      Gamma RP(P), Log-Normal    FALSE #> 15284  956 0.7894323 0.172205969  fv      Gamma RP(P), Log-Normal    FALSE #> 15300  957 0.7333930 0.159610119  fv      Gamma RP(P), Log-Normal    FALSE #> 15316  958 0.6756133 0.147379474  fv      Gamma RP(P), Log-Normal    FALSE #> 15332  959 0.8148421 0.177271917  fv      Gamma RP(P), Log-Normal    FALSE #> 15348  960 1.0392486 0.227370460  fv      Gamma RP(P), Log-Normal    FALSE #> 15364  961 0.6272968 0.137352074  fv      Gamma RP(P), Log-Normal    FALSE #> 15380  962 1.2355976 0.269890470  fv      Gamma RP(P), Log-Normal    FALSE #> 15396  963 1.3179458 0.295990708  fv      Gamma RP(P), Log-Normal    FALSE #> 15412  964 0.9410797 0.206058732  fv      Gamma RP(P), Log-Normal    FALSE #> 15428  965 0.7249062 0.156451201  fv      Gamma RP(P), Log-Normal    FALSE #> 15444  966 1.0797601 0.240333361  fv      Gamma RP(P), Log-Normal    FALSE #> 15460  967 0.8711198 0.188877816  fv      Gamma RP(P), Log-Normal    FALSE #> 15476  968 0.7484915 0.163756006  fv      Gamma RP(P), Log-Normal    FALSE #> 15492  969 1.0608001 0.239446947  fv      Gamma RP(P), Log-Normal    FALSE #> 15508  970 1.0392551 0.242127789  fv      Gamma RP(P), Log-Normal    FALSE #> 15524  971 0.8947299 0.198047800  fv      Gamma RP(P), Log-Normal    FALSE #> 15540  972 0.8458660 0.191087294  fv      Gamma RP(P), Log-Normal    FALSE #> 15556  973 1.4370855 0.329114189  fv      Gamma RP(P), Log-Normal     TRUE #> 15572  974 0.6426835 0.141462608  fv      Gamma RP(P), Log-Normal    FALSE #> 15588  975 0.5829796 0.126731490  fv      Gamma RP(P), Log-Normal    FALSE #> 15604  976 0.9819053 0.214952765  fv      Gamma RP(P), Log-Normal    FALSE #> 15620  977 1.2025767 0.259993700  fv      Gamma RP(P), Log-Normal    FALSE #> 15636  978 1.1207741 0.253448839  fv      Gamma RP(P), Log-Normal    FALSE #> 15652  979 1.2212617 0.277004405  fv      Gamma RP(P), Log-Normal    FALSE #> 15668  980 0.6660679 0.144904550  fv      Gamma RP(P), Log-Normal    FALSE #> 15684  981 0.9800822 0.220568363  fv      Gamma RP(P), Log-Normal    FALSE #> 15700  982 1.2715142 0.278377255  fv      Gamma RP(P), Log-Normal    FALSE #> 15716  983 0.6362243 0.139600397  fv      Gamma RP(P), Log-Normal    FALSE #> 15732  984 0.9930194 0.216807089  fv      Gamma RP(P), Log-Normal    FALSE #> 15748  985 1.1721930 0.263401263  fv      Gamma RP(P), Log-Normal    FALSE #> 15764  986 0.8120336 0.173385919  fv      Gamma RP(P), Log-Normal    FALSE #> 15780  987 0.6828491 0.148950787  fv      Gamma RP(P), Log-Normal    FALSE #> 15796  988 0.8144041 0.176435041  fv      Gamma RP(P), Log-Normal    FALSE #> 15812  989 1.1247055 0.243500492  fv      Gamma RP(P), Log-Normal    FALSE #> 15828  990 0.8947567 0.191212448  fv      Gamma RP(P), Log-Normal    FALSE #> 15844  991 1.0661028 0.236299935  fv      Gamma RP(P), Log-Normal    FALSE #> 15860  992 1.1284313 0.252598990  fv      Gamma RP(P), Log-Normal    FALSE #> 15876  993 1.4178796 0.311252553  fv      Gamma RP(P), Log-Normal    FALSE #> 15892  994 0.9354356 0.205470856  fv      Gamma RP(P), Log-Normal    FALSE #> 15908  995 0.9748574 0.210421807  fv      Gamma RP(P), Log-Normal    FALSE #> 15924  996 0.8126153 0.174760175  fv      Gamma RP(P), Log-Normal    FALSE #> 15940  997 0.7325642 0.165565100  fv      Gamma RP(P), Log-Normal    FALSE #> 15956  998 0.8758146 0.191746972  fv      Gamma RP(P), Log-Normal    FALSE #> 15972  999 0.6360544 0.137587237  fv      Gamma RP(P), Log-Normal    FALSE #> 15988 1000 0.6592714 0.146375303  fv      Gamma RP(P), Log-Normal    FALSE #> 5        1 0.6394722 0.122380809  fv Log-Normal        Cox, Gamma    FALSE #> 21       2 0.6045856          NA  fv Log-Normal        Cox, Gamma       NA #> 37       3 0.8010657 0.151976580  fv Log-Normal        Cox, Gamma    FALSE #> 53       4 0.5251708 0.102995382  fv Log-Normal        Cox, Gamma    FALSE #> 69       5 0.7983593 0.148846197  fv Log-Normal        Cox, Gamma    FALSE #> 85       6 0.6885611 0.130409358  fv Log-Normal        Cox, Gamma    FALSE #> 101      7 0.5151179 0.100941935  fv Log-Normal        Cox, Gamma    FALSE #> 117      8 0.7621628 0.144318000  fv Log-Normal        Cox, Gamma    FALSE #> 133      9 0.6643665 0.127376922  fv Log-Normal        Cox, Gamma    FALSE #> 149     10 0.8283729 0.155318927  fv Log-Normal        Cox, Gamma    FALSE #> 165     11 0.7869555 0.147558877  fv Log-Normal        Cox, Gamma    FALSE #> 181     12 0.5133479 0.101148388  fv Log-Normal        Cox, Gamma    FALSE #> 197     13 0.7532925 0.143254004  fv Log-Normal        Cox, Gamma    FALSE #> 213     14 0.6319419 0.120525268  fv Log-Normal        Cox, Gamma    FALSE #> 229     15 0.6431606          NA  fv Log-Normal        Cox, Gamma       NA #> 245     16 0.5317893 0.104988331  fv Log-Normal        Cox, Gamma    FALSE #> 261     17 0.6485239          NA  fv Log-Normal        Cox, Gamma       NA #> 277     18 0.6937009 0.131641157  fv Log-Normal        Cox, Gamma    FALSE #> 293     19 0.7893061 0.147649710  fv Log-Normal        Cox, Gamma    FALSE #> 309     20 0.5473277 0.107505962  fv Log-Normal        Cox, Gamma    FALSE #> 325     21 0.6159281 0.119712689  fv Log-Normal        Cox, Gamma    FALSE #> 341     22 0.5034632 0.098706022  fv Log-Normal        Cox, Gamma    FALSE #> 357     23 0.8872145 0.167318484  fv Log-Normal        Cox, Gamma    FALSE #> 373     24 0.6747845 0.128587018  fv Log-Normal        Cox, Gamma    FALSE #> 389     25 0.5306071 0.103635336  fv Log-Normal        Cox, Gamma    FALSE #> 405     26 0.6424292 0.123098114  fv Log-Normal        Cox, Gamma    FALSE #> 421     27 0.4616309 0.092627917  fv Log-Normal        Cox, Gamma    FALSE #> 437     28 0.6455285 0.124584641  fv Log-Normal        Cox, Gamma    FALSE #> 453     29 0.9355245 0.171887190  fv Log-Normal        Cox, Gamma     TRUE #> 469     30 0.5683618          NA  fv Log-Normal        Cox, Gamma       NA #> 485     31 0.5122115 0.101457499  fv Log-Normal        Cox, Gamma    FALSE #> 501     32 0.5137421 0.101410278  fv Log-Normal        Cox, Gamma    FALSE #> 517     33 0.6617973 0.126758113  fv Log-Normal        Cox, Gamma    FALSE #> 533     34 0.8792537 0.165007321  fv Log-Normal        Cox, Gamma    FALSE #> 549     35 0.5056708 0.102050813  fv Log-Normal        Cox, Gamma    FALSE #> 565     36 0.4631456 0.092364702  fv Log-Normal        Cox, Gamma    FALSE #> 581     37 0.6402471 0.123639086  fv Log-Normal        Cox, Gamma    FALSE #> 597     38 0.6072469 0.118505183  fv Log-Normal        Cox, Gamma    FALSE #> 613     39 0.7170843 0.136908818  fv Log-Normal        Cox, Gamma    FALSE #> 629     40 0.5771348 0.115752065  fv Log-Normal        Cox, Gamma    FALSE #> 645     41 0.6529139 0.124393480  fv Log-Normal        Cox, Gamma    FALSE #> 661     42 0.5148011 0.101711999  fv Log-Normal        Cox, Gamma    FALSE #> 677     43 0.4666952 0.004937570  fv Log-Normal        Cox, Gamma     TRUE #> 693     44 0.6189380 0.118445497  fv Log-Normal        Cox, Gamma    FALSE #> 709     45 0.5376220 0.104802034  fv Log-Normal        Cox, Gamma    FALSE #> 725     46 0.3144607 0.065053567  fv Log-Normal        Cox, Gamma     TRUE #> 741     47 0.7584395 0.142672550  fv Log-Normal        Cox, Gamma    FALSE #> 757     48 0.8275518 0.156556744  fv Log-Normal        Cox, Gamma    FALSE #> 773     49 0.8489886 0.158293529  fv Log-Normal        Cox, Gamma    FALSE #> 789     50 0.5482973 0.107386748  fv Log-Normal        Cox, Gamma    FALSE #> 805     51 0.6839991 0.129492956  fv Log-Normal        Cox, Gamma    FALSE #> 821     52 0.4843987 0.096408435  fv Log-Normal        Cox, Gamma    FALSE #> 837     53 0.8510057 0.158864620  fv Log-Normal        Cox, Gamma    FALSE #> 853     54 0.6256909 0.120555710  fv Log-Normal        Cox, Gamma    FALSE #> 869     55 0.8346268 0.156087294  fv Log-Normal        Cox, Gamma    FALSE #> 885     56 0.7882049 0.150416666  fv Log-Normal        Cox, Gamma    FALSE #> 901     57 0.8201443 0.154000281  fv Log-Normal        Cox, Gamma    FALSE #> 917     58 0.7040050 0.135316400  fv Log-Normal        Cox, Gamma    FALSE #> 933     59 0.6359651 0.121923449  fv Log-Normal        Cox, Gamma    FALSE #> 949     60 0.8198970 0.153870480  fv Log-Normal        Cox, Gamma    FALSE #> 965     61 0.7175756 0.137152304  fv Log-Normal        Cox, Gamma    FALSE #> 981     62 0.6076507 0.118508879  fv Log-Normal        Cox, Gamma    FALSE #> 997     63 0.7819970 0.147791047  fv Log-Normal        Cox, Gamma    FALSE #> 1013    64 0.6957054 0.132639426  fv Log-Normal        Cox, Gamma    FALSE #> 1029    65 0.9526125 0.009775405  fv Log-Normal        Cox, Gamma     TRUE #> 1045    66 0.5441474 0.106172085  fv Log-Normal        Cox, Gamma    FALSE #> 1061    67 0.5523208 0.108353716  fv Log-Normal        Cox, Gamma    FALSE #> 1077    68 0.4929681 0.098414398  fv Log-Normal        Cox, Gamma    FALSE #> 1093    69 0.7299153 0.138530230  fv Log-Normal        Cox, Gamma    FALSE #> 1109    70 0.6423527 0.122802482  fv Log-Normal        Cox, Gamma    FALSE #> 1125    71 0.8632862 0.161486059  fv Log-Normal        Cox, Gamma    FALSE #> 1141    72 0.5591545 0.109417396  fv Log-Normal        Cox, Gamma    FALSE #> 1157    73 0.6075278 0.117438980  fv Log-Normal        Cox, Gamma    FALSE #> 1173    74 0.4193468 0.085150618  fv Log-Normal        Cox, Gamma    FALSE #> 1189    75 0.6458334 0.123807889  fv Log-Normal        Cox, Gamma    FALSE #> 1205    76 0.5319590 0.103524013  fv Log-Normal        Cox, Gamma    FALSE #> 1221    77 0.8210381 0.156007454  fv Log-Normal        Cox, Gamma    FALSE #> 1237    78 0.7326486 0.139950963  fv Log-Normal        Cox, Gamma    FALSE #> 1253    79 0.9943199 0.182305762  fv Log-Normal        Cox, Gamma     TRUE #> 1269    80 0.5401692 0.105772312  fv Log-Normal        Cox, Gamma    FALSE #> 1285    81 0.8195515 0.152333242  fv Log-Normal        Cox, Gamma    FALSE #> 1301    82 0.5996208 0.115639258  fv Log-Normal        Cox, Gamma    FALSE #> 1317    83 0.6878985 0.131159675  fv Log-Normal        Cox, Gamma    FALSE #> 1333    84 0.5677818 0.110729113  fv Log-Normal        Cox, Gamma    FALSE #> 1349    85 0.6777671 0.132744504  fv Log-Normal        Cox, Gamma    FALSE #> 1365    86 0.5697309 0.113283344  fv Log-Normal        Cox, Gamma    FALSE #> 1381    87 0.6515879 0.125557308  fv Log-Normal        Cox, Gamma    FALSE #> 1397    88 0.6589741 0.126940719  fv Log-Normal        Cox, Gamma    FALSE #> 1413    89 0.9088941 0.169266584  fv Log-Normal        Cox, Gamma     TRUE #> 1429    90 0.7931475 0.150240420  fv Log-Normal        Cox, Gamma    FALSE #> 1445    91 0.7963163 0.149402965  fv Log-Normal        Cox, Gamma    FALSE #> 1461    92 0.7857943 0.149847987  fv Log-Normal        Cox, Gamma    FALSE #> 1477    93 0.5504720 0.107382694  fv Log-Normal        Cox, Gamma    FALSE #> 1493    94 0.6884429 0.131346884  fv Log-Normal        Cox, Gamma    FALSE #> 1509    95 0.6380857 0.123419439  fv Log-Normal        Cox, Gamma    FALSE #> 1525    96 0.5041330 0.099649898  fv Log-Normal        Cox, Gamma    FALSE #> 1541    97 0.7322696 0.139902706  fv Log-Normal        Cox, Gamma    FALSE #> 1557    98 0.4127046 0.082919455  fv Log-Normal        Cox, Gamma    FALSE #> 1573    99 0.6763370 0.128560573  fv Log-Normal        Cox, Gamma    FALSE #> 1589   100 0.5878556 0.114387018  fv Log-Normal        Cox, Gamma    FALSE #> 1605   101 0.5514084 0.106995494  fv Log-Normal        Cox, Gamma    FALSE #> 1621   102 0.4762293 0.094742579  fv Log-Normal        Cox, Gamma    FALSE #> 1637   103 0.7020256 0.133873178  fv Log-Normal        Cox, Gamma    FALSE #> 1653   104 0.7099326 0.137457024  fv Log-Normal        Cox, Gamma    FALSE #> 1669   105 0.5077478 0.103091644  fv Log-Normal        Cox, Gamma    FALSE #> 1685   106 0.5839560          NA  fv Log-Normal        Cox, Gamma       NA #> 1701   107 0.6986634 0.132088893  fv Log-Normal        Cox, Gamma    FALSE #> 1717   108 0.6167183 0.119245954  fv Log-Normal        Cox, Gamma    FALSE #> 1733   109 0.8992052 0.168845162  fv Log-Normal        Cox, Gamma    FALSE #> 1749   110 0.7958962 0.150043027  fv Log-Normal        Cox, Gamma    FALSE #> 1765   111 0.6292353 0.123510171  fv Log-Normal        Cox, Gamma    FALSE #> 1781   112 0.6629978 0.127077109  fv Log-Normal        Cox, Gamma    FALSE #> 1797   113 0.7261570 0.136779956  fv Log-Normal        Cox, Gamma    FALSE #> 1813   114 0.6276345 0.122291276  fv Log-Normal        Cox, Gamma    FALSE #> 1829   115 0.6639073 0.126950626  fv Log-Normal        Cox, Gamma    FALSE #> 1845   116 0.6771155 0.129017151  fv Log-Normal        Cox, Gamma    FALSE #> 1861   117 0.7574856 0.142852173  fv Log-Normal        Cox, Gamma    FALSE #> 1877   118 0.5400931 0.105299387  fv Log-Normal        Cox, Gamma    FALSE #> 1893   119 0.5348068 0.104913423  fv Log-Normal        Cox, Gamma    FALSE #> 1909   120 0.7474894 0.142057002  fv Log-Normal        Cox, Gamma    FALSE #> 1925   121 0.6748811 0.129647969  fv Log-Normal        Cox, Gamma    FALSE #> 1941   122 0.5375076 0.108052856  fv Log-Normal        Cox, Gamma    FALSE #> 1957   123 0.4856003 0.096121275  fv Log-Normal        Cox, Gamma    FALSE #> 1973   124 0.5246200 0.103885319  fv Log-Normal        Cox, Gamma    FALSE #> 1989   125 0.4720605          NA  fv Log-Normal        Cox, Gamma       NA #> 2005   126 0.9482783 0.174156199  fv Log-Normal        Cox, Gamma     TRUE #> 2021   127 0.4306473 0.085975068  fv Log-Normal        Cox, Gamma    FALSE #> 2037   128 0.4410806 0.087616373  fv Log-Normal        Cox, Gamma    FALSE #> 2053   129 0.5998340 0.116337857  fv Log-Normal        Cox, Gamma    FALSE #> 2069   130 0.5329207 0.106038502  fv Log-Normal        Cox, Gamma    FALSE #> 2085   131 0.5852483 0.113419735  fv Log-Normal        Cox, Gamma    FALSE #> 2101   132 0.6742929 0.128681326  fv Log-Normal        Cox, Gamma    FALSE #> 2117   133 0.8438814 0.157495241  fv Log-Normal        Cox, Gamma    FALSE #> 2133   134 0.8725599 0.161209909  fv Log-Normal        Cox, Gamma    FALSE #> 2149   135 0.6599414 0.127969864  fv Log-Normal        Cox, Gamma    FALSE #> 2165   136 0.5626806 0.112982953  fv Log-Normal        Cox, Gamma    FALSE #> 2181   137 0.4613542 0.092148877  fv Log-Normal        Cox, Gamma    FALSE #> 2197   138 0.4897440 0.096970193  fv Log-Normal        Cox, Gamma    FALSE #> 2213   139 0.6186832 0.118880800  fv Log-Normal        Cox, Gamma    FALSE #> 2229   140 0.6882313 0.130677278  fv Log-Normal        Cox, Gamma    FALSE #> 2245   141 0.4057784 0.082456100  fv Log-Normal        Cox, Gamma    FALSE #> 2261   142 0.4533127 0.090505938  fv Log-Normal        Cox, Gamma    FALSE #> 2277   143 0.5205757 0.101899405  fv Log-Normal        Cox, Gamma    FALSE #> 2293   144 0.6642470 0.129879650  fv Log-Normal        Cox, Gamma    FALSE #> 2309   145 0.4846138 0.095680840  fv Log-Normal        Cox, Gamma    FALSE #> 2325   146 0.6727758 0.128705520  fv Log-Normal        Cox, Gamma    FALSE #> 2341   147 0.6505837 0.128350311  fv Log-Normal        Cox, Gamma    FALSE #> 2357   148 0.5095640 0.100748115  fv Log-Normal        Cox, Gamma    FALSE #> 2373   149 0.3838389 0.078579334  fv Log-Normal        Cox, Gamma    FALSE #> 2389   150 0.5015661 0.098921642  fv Log-Normal        Cox, Gamma    FALSE #> 2405   151 0.8316167 0.156175999  fv Log-Normal        Cox, Gamma    FALSE #> 2421   152 0.6107663 0.117805851  fv Log-Normal        Cox, Gamma    FALSE #> 2437   153 0.7774550 0.147567258  fv Log-Normal        Cox, Gamma    FALSE #> 2453   154 0.6456305 0.123420490  fv Log-Normal        Cox, Gamma    FALSE #> 2469   155 0.9161229 0.170688228  fv Log-Normal        Cox, Gamma     TRUE #> 2485   156 0.5364627 0.104848903  fv Log-Normal        Cox, Gamma    FALSE #> 2501   157 0.5613152 0.109806565  fv Log-Normal        Cox, Gamma    FALSE #> 2517   158 0.6129741          NA  fv Log-Normal        Cox, Gamma       NA #> 2533   159 0.6589814 0.126591843  fv Log-Normal        Cox, Gamma    FALSE #> 2549   160 0.6071451 0.116592113  fv Log-Normal        Cox, Gamma    FALSE #> 2565   161 0.8464096 0.158851699  fv Log-Normal        Cox, Gamma    FALSE #> 2581   162 0.8600343 0.160292687  fv Log-Normal        Cox, Gamma    FALSE #> 2597   163 0.5244066 0.102558542  fv Log-Normal        Cox, Gamma    FALSE #> 2613   164 0.6350957 0.122832752  fv Log-Normal        Cox, Gamma    FALSE #> 2629   165 0.4845964 0.095537265  fv Log-Normal        Cox, Gamma    FALSE #> 2645   166 0.4272914 0.086071366  fv Log-Normal        Cox, Gamma    FALSE #> 2661   167 0.6479949 0.124144693  fv Log-Normal        Cox, Gamma    FALSE #> 2677   168 0.7462762 0.140607751  fv Log-Normal        Cox, Gamma    FALSE #> 2693   169 0.6323112 0.122436745  fv Log-Normal        Cox, Gamma    FALSE #> 2709   170 0.6601451 0.125902988  fv Log-Normal        Cox, Gamma    FALSE #> 2725   171 0.7032168 0.133018961  fv Log-Normal        Cox, Gamma    FALSE #> 2741   172 0.6390154 0.122082524  fv Log-Normal        Cox, Gamma    FALSE #> 2757   173 0.7009973 0.134209465  fv Log-Normal        Cox, Gamma    FALSE #> 2773   174 0.5290113 0.103348766  fv Log-Normal        Cox, Gamma    FALSE #> 2789   175 0.7105678 0.135604428  fv Log-Normal        Cox, Gamma    FALSE #> 2805   176 0.8662738 0.161421953  fv Log-Normal        Cox, Gamma    FALSE #> 2821   177 0.6637685 0.126258249  fv Log-Normal        Cox, Gamma    FALSE #> 2837   178 0.4790982 0.094932397  fv Log-Normal        Cox, Gamma    FALSE #> 2853   179 0.7824449 0.146344350  fv Log-Normal        Cox, Gamma    FALSE #> 2869   180 0.4960902 0.097942874  fv Log-Normal        Cox, Gamma    FALSE #> 2885   181 0.6319581          NA  fv Log-Normal        Cox, Gamma       NA #> 2901   182 1.0215608 0.186181702  fv Log-Normal        Cox, Gamma     TRUE #> 2917   183 0.6556942 0.127650618  fv Log-Normal        Cox, Gamma    FALSE #> 2933   184 0.8197292 0.152798041  fv Log-Normal        Cox, Gamma    FALSE #> 2949   185 0.7209598 0.136991783  fv Log-Normal        Cox, Gamma    FALSE #> 2965   186 0.6961555 0.132783636  fv Log-Normal        Cox, Gamma    FALSE #> 2981   187 0.6427010 0.124017514  fv Log-Normal        Cox, Gamma    FALSE #> 2997   188 0.8413523 0.159781367  fv Log-Normal        Cox, Gamma    FALSE #> 3013   189 0.6291343 0.120949937  fv Log-Normal        Cox, Gamma    FALSE #> 3029   190 0.6312602 0.120553681  fv Log-Normal        Cox, Gamma    FALSE #> 3045   191 0.6229767 0.120163049  fv Log-Normal        Cox, Gamma    FALSE #> 3061   192 0.6625294 0.128824188  fv Log-Normal        Cox, Gamma    FALSE #> 3077   193 0.6095303 0.117152349  fv Log-Normal        Cox, Gamma    FALSE #> 3093   194 0.8906886 0.165363633  fv Log-Normal        Cox, Gamma    FALSE #> 3109   195 0.5763599 0.113600171  fv Log-Normal        Cox, Gamma    FALSE #> 3125   196 0.5388661 0.105243328  fv Log-Normal        Cox, Gamma    FALSE #> 3141   197 0.6062427 0.117145578  fv Log-Normal        Cox, Gamma    FALSE #> 3157   198 0.6999424 0.133524072  fv Log-Normal        Cox, Gamma    FALSE #> 3173   199 0.4751412 0.094093909  fv Log-Normal        Cox, Gamma    FALSE #> 3189   200 0.5362176 0.105172510  fv Log-Normal        Cox, Gamma    FALSE #> 3205   201 0.7915355 0.148896926  fv Log-Normal        Cox, Gamma    FALSE #> 3221   202 0.6256725 0.120094411  fv Log-Normal        Cox, Gamma    FALSE #> 3237   203 0.5558678 0.108296694  fv Log-Normal        Cox, Gamma    FALSE #> 3253   204 0.5876585 0.113892273  fv Log-Normal        Cox, Gamma    FALSE #> 3269   205 0.5468949 0.106525018  fv Log-Normal        Cox, Gamma    FALSE #> 3285   206 0.6698007 0.128281193  fv Log-Normal        Cox, Gamma    FALSE #> 3301   207 0.8537181 0.163478068  fv Log-Normal        Cox, Gamma    FALSE #> 3317   208 0.8151591 0.151573969  fv Log-Normal        Cox, Gamma    FALSE #> 3333   209 0.5738887 0.112038746  fv Log-Normal        Cox, Gamma    FALSE #> 3349   210 0.5948765 0.115005913  fv Log-Normal        Cox, Gamma    FALSE #> 3365   211 0.7051577 0.134016025  fv Log-Normal        Cox, Gamma    FALSE #> 3381   212 0.6688139 0.127473682  fv Log-Normal        Cox, Gamma    FALSE #> 3397   213 0.5682107 0.111343598  fv Log-Normal        Cox, Gamma    FALSE #> 3413   214 0.5596977 0.108622186  fv Log-Normal        Cox, Gamma    FALSE #> 3429   215 0.6736498 0.131769952  fv Log-Normal        Cox, Gamma    FALSE #> 3445   216 0.8402526 0.156811031  fv Log-Normal        Cox, Gamma    FALSE #> 3461   217 0.6569014 0.126067931  fv Log-Normal        Cox, Gamma    FALSE #> 3477   218 0.6265203          NA  fv Log-Normal        Cox, Gamma       NA #> 3493   219 0.8265282 0.156692936  fv Log-Normal        Cox, Gamma    FALSE #> 3509   220 0.7025852 0.132963964  fv Log-Normal        Cox, Gamma    FALSE #> 3525   221 0.5591480 0.109170032  fv Log-Normal        Cox, Gamma    FALSE #> 3541   222 0.3308424 0.068028520  fv Log-Normal        Cox, Gamma     TRUE #> 3557   223 0.4912096 0.096931558  fv Log-Normal        Cox, Gamma    FALSE #> 3573   224 0.4900371 0.096260044  fv Log-Normal        Cox, Gamma    FALSE #> 3589   225 0.7671184 0.144972525  fv Log-Normal        Cox, Gamma    FALSE #> 3605   226 0.8535113 0.158140918  fv Log-Normal        Cox, Gamma    FALSE #> 3621   227 0.6378454 0.121921746  fv Log-Normal        Cox, Gamma    FALSE #> 3637   228 0.7197385 0.135876027  fv Log-Normal        Cox, Gamma    FALSE #> 3653   229 0.3791053 0.077674263  fv Log-Normal        Cox, Gamma     TRUE #> 3669   230 0.5811553 0.113632012  fv Log-Normal        Cox, Gamma    FALSE #> 3685   231 0.5860880 0.113549906  fv Log-Normal        Cox, Gamma    FALSE #> 3701   232 0.8037955 0.151262566  fv Log-Normal        Cox, Gamma    FALSE #> 3717   233 0.8533986 0.160021433  fv Log-Normal        Cox, Gamma    FALSE #> 3733   234 0.8484815 0.159241562  fv Log-Normal        Cox, Gamma    FALSE #> 3749   235 0.4897224 0.096400413  fv Log-Normal        Cox, Gamma    FALSE #> 3765   236 0.5762535 0.112239275  fv Log-Normal        Cox, Gamma    FALSE #> 3781   237 0.5269204 0.103993561  fv Log-Normal        Cox, Gamma    FALSE #> 3797   238 0.7820117 0.148029154  fv Log-Normal        Cox, Gamma    FALSE #> 3813   239 0.8192601 0.155041621  fv Log-Normal        Cox, Gamma    FALSE #> 3829   240 0.5402785 0.105436912  fv Log-Normal        Cox, Gamma    FALSE #> 3845   241 0.6507911 0.125139921  fv Log-Normal        Cox, Gamma    FALSE #> 3861   242 0.4837204 0.095399989  fv Log-Normal        Cox, Gamma    FALSE #> 3877   243 0.6195218 0.119990163  fv Log-Normal        Cox, Gamma    FALSE #> 3893   244 0.5100376 0.100590658  fv Log-Normal        Cox, Gamma    FALSE #> 3909   245 0.4265852 0.085555768  fv Log-Normal        Cox, Gamma    FALSE #> 3925   246 0.7625282 0.147743867  fv Log-Normal        Cox, Gamma    FALSE #> 3941   247 0.6393146 0.124452824  fv Log-Normal        Cox, Gamma    FALSE #> 3957   248 0.8878569 0.164863233  fv Log-Normal        Cox, Gamma    FALSE #> 3973   249 0.5104467 0.100139240  fv Log-Normal        Cox, Gamma    FALSE #> 3989   250 0.7090348 0.135416883  fv Log-Normal        Cox, Gamma    FALSE #> 4005   251 0.5665994 0.110662478  fv Log-Normal        Cox, Gamma    FALSE #> 4021   252 0.4789176 0.096840906  fv Log-Normal        Cox, Gamma    FALSE #> 4037   253 0.7726023 0.145748257  fv Log-Normal        Cox, Gamma    FALSE #> 4053   254 0.6799045 0.131222201  fv Log-Normal        Cox, Gamma    FALSE #> 4069   255 0.8679381 0.163075058  fv Log-Normal        Cox, Gamma    FALSE #> 4085   256 0.7877915 0.149581667  fv Log-Normal        Cox, Gamma    FALSE #> 4101   257 0.7172398 0.135506691  fv Log-Normal        Cox, Gamma    FALSE #> 4117   258 0.4064345 0.082947195  fv Log-Normal        Cox, Gamma    FALSE #> 4133   259 0.5807491 0.112471382  fv Log-Normal        Cox, Gamma    FALSE #> 4149   260 0.5464734 0.106275466  fv Log-Normal        Cox, Gamma    FALSE #> 4165   261 0.7065837 0.133504731  fv Log-Normal        Cox, Gamma    FALSE #> 4181   262 0.5931230 0.114792244  fv Log-Normal        Cox, Gamma    FALSE #> 4197   263 0.7014259 0.133353663  fv Log-Normal        Cox, Gamma    FALSE #> 4213   264 0.7179491 0.137495764  fv Log-Normal        Cox, Gamma    FALSE #> 4229   265 0.5649677 0.109814735  fv Log-Normal        Cox, Gamma    FALSE #> 4245   266 0.5471308 0.106789710  fv Log-Normal        Cox, Gamma    FALSE #> 4261   267 0.5878749 0.115444716  fv Log-Normal        Cox, Gamma    FALSE #> 4277   268 0.8704538 0.161935150  fv Log-Normal        Cox, Gamma    FALSE #> 4293   269 0.5588668 0.109315818  fv Log-Normal        Cox, Gamma    FALSE #> 4309   270 0.5682294 0.110657678  fv Log-Normal        Cox, Gamma    FALSE #> 4325   271 0.7742804 0.148840997  fv Log-Normal        Cox, Gamma    FALSE #> 4341   272 0.5158531 0.101581050  fv Log-Normal        Cox, Gamma    FALSE #> 4357   273 0.6160109          NA  fv Log-Normal        Cox, Gamma       NA #> 4373   274 0.7917479 0.153086307  fv Log-Normal        Cox, Gamma    FALSE #> 4389   275 0.6364515 0.126896193  fv Log-Normal        Cox, Gamma    FALSE #> 4405   276 0.6699600 0.127579619  fv Log-Normal        Cox, Gamma    FALSE #> 4421   277 0.6950828 0.007187089  fv Log-Normal        Cox, Gamma     TRUE #> 4437   278 0.5145957 0.101023595  fv Log-Normal        Cox, Gamma    FALSE #> 4453   279 0.8117977 0.153216708  fv Log-Normal        Cox, Gamma    FALSE #> 4469   280 0.6997337 0.133181330  fv Log-Normal        Cox, Gamma    FALSE #> 4485   281 0.6982049 0.133445042  fv Log-Normal        Cox, Gamma    FALSE #> 4501   282 0.5416213 0.105440717  fv Log-Normal        Cox, Gamma    FALSE #> 4517   283 0.6857669 0.130142790  fv Log-Normal        Cox, Gamma    FALSE #> 4533   284 0.5399607 0.105818606  fv Log-Normal        Cox, Gamma    FALSE #> 4549   285 0.5893622 0.113916611  fv Log-Normal        Cox, Gamma    FALSE #> 4565   286 0.6293867 0.121852607  fv Log-Normal        Cox, Gamma    FALSE #> 4581   287 0.5320429 0.104084556  fv Log-Normal        Cox, Gamma    FALSE #> 4597   288 0.5385214          NA  fv Log-Normal        Cox, Gamma       NA #> 4613   289 0.6079604 0.117589769  fv Log-Normal        Cox, Gamma    FALSE #> 4629   290 0.6198681 0.119709759  fv Log-Normal        Cox, Gamma    FALSE #> 4645   291 0.6348176 0.121448764  fv Log-Normal        Cox, Gamma    FALSE #> 4661   292 0.5566394 0.109253711  fv Log-Normal        Cox, Gamma    FALSE #> 4677   293 0.5642341 0.108813689  fv Log-Normal        Cox, Gamma    FALSE #> 4693   294 0.6430886 0.123339440  fv Log-Normal        Cox, Gamma    FALSE #> 4709   295 0.5805056 0.113140088  fv Log-Normal        Cox, Gamma    FALSE #> 4725   296 0.7567236 0.143584763  fv Log-Normal        Cox, Gamma    FALSE #> 4741   297 0.3855174 0.078215125  fv Log-Normal        Cox, Gamma    FALSE #> 4757   298 0.5794998 0.112104842  fv Log-Normal        Cox, Gamma    FALSE #> 4773   299 0.7028882 0.133589533  fv Log-Normal        Cox, Gamma    FALSE #> 4789   300 0.5797419 0.112542288  fv Log-Normal        Cox, Gamma    FALSE #> 4805   301 0.9211398 0.170258250  fv Log-Normal        Cox, Gamma     TRUE #> 4821   302 0.7451349 0.144010919  fv Log-Normal        Cox, Gamma    FALSE #> 4837   303 0.5897070 0.114105453  fv Log-Normal        Cox, Gamma    FALSE #> 4853   304 0.5902198 0.114066882  fv Log-Normal        Cox, Gamma    FALSE #> 4869   305 0.6998113 0.132962809  fv Log-Normal        Cox, Gamma    FALSE #> 4885   306 0.5558410 0.108825873  fv Log-Normal        Cox, Gamma    FALSE #> 4901   307 0.5096845 0.099400324  fv Log-Normal        Cox, Gamma    FALSE #> 4917   308 0.6120856 0.118043549  fv Log-Normal        Cox, Gamma    FALSE #> 4933   309 0.5238446 0.102522839  fv Log-Normal        Cox, Gamma    FALSE #> 4949   310 0.5755179 0.112344745  fv Log-Normal        Cox, Gamma    FALSE #> 4965   311 0.7940267 0.148985319  fv Log-Normal        Cox, Gamma    FALSE #> 4981   312 0.5853714 0.006099306  fv Log-Normal        Cox, Gamma     TRUE #> 4997   313 0.4366253 0.087746151  fv Log-Normal        Cox, Gamma    FALSE #> 5013   314 0.6141543 0.119168693  fv Log-Normal        Cox, Gamma    FALSE #> 5029   315 0.5634745 0.109117311  fv Log-Normal        Cox, Gamma    FALSE #> 5045   316 0.5563368 0.109703245  fv Log-Normal        Cox, Gamma    FALSE #> 5061   317 0.7188303 0.135419985  fv Log-Normal        Cox, Gamma    FALSE #> 5077   318 0.5950034 0.119644402  fv Log-Normal        Cox, Gamma    FALSE #> 5093   319 0.6531083 0.125747127  fv Log-Normal        Cox, Gamma    FALSE #> 5109   320 0.7196713 0.136030114  fv Log-Normal        Cox, Gamma    FALSE #> 5125   321 0.8308015 0.156780085  fv Log-Normal        Cox, Gamma    FALSE #> 5141   322 0.4956023 0.097888214  fv Log-Normal        Cox, Gamma    FALSE #> 5157   323 0.6546792 0.124835750  fv Log-Normal        Cox, Gamma    FALSE #> 5173   324 0.4840185 0.095889192  fv Log-Normal        Cox, Gamma    FALSE #> 5189   325 0.5702055 0.111852128  fv Log-Normal        Cox, Gamma    FALSE #> 5205   326 0.7875548 0.148425894  fv Log-Normal        Cox, Gamma    FALSE #> 5221   327 0.4456639 0.088551255  fv Log-Normal        Cox, Gamma    FALSE #> 5237   328 0.6199910 0.118511296  fv Log-Normal        Cox, Gamma    FALSE #> 5253   329 0.6070999 0.118226137  fv Log-Normal        Cox, Gamma    FALSE #> 5269   330 0.4693525 0.092970101  fv Log-Normal        Cox, Gamma    FALSE #> 5285   331 0.7782761 0.145952440  fv Log-Normal        Cox, Gamma    FALSE #> 5301   332 0.6147740 0.118149084  fv Log-Normal        Cox, Gamma    FALSE #> 5317   333 0.4880236 0.097261035  fv Log-Normal        Cox, Gamma    FALSE #> 5333   334 0.4884141 0.096379233  fv Log-Normal        Cox, Gamma    FALSE #> 5349   335 0.5032586 0.099171283  fv Log-Normal        Cox, Gamma    FALSE #> 5365   336 0.7805535 0.148128686  fv Log-Normal        Cox, Gamma    FALSE #> 5381   337 0.6032561 0.116743833  fv Log-Normal        Cox, Gamma    FALSE #> 5397   338 0.6551628 0.125118867  fv Log-Normal        Cox, Gamma    FALSE #> 5413   339 0.5169801 0.101821996  fv Log-Normal        Cox, Gamma    FALSE #> 5429   340 0.8196064 0.154398664  fv Log-Normal        Cox, Gamma    FALSE #> 5445   341 0.5937845 0.117321745  fv Log-Normal        Cox, Gamma    FALSE #> 5461   342 0.5195210 0.101714573  fv Log-Normal        Cox, Gamma    FALSE #> 5477   343 0.5449285 0.106821634  fv Log-Normal        Cox, Gamma    FALSE #> 5493   344 0.6178628 0.119729312  fv Log-Normal        Cox, Gamma    FALSE #> 5509   345 0.5748172 0.111195189  fv Log-Normal        Cox, Gamma    FALSE #> 5525   346 0.4467481 0.089775532  fv Log-Normal        Cox, Gamma    FALSE #> 5541   347 0.5922002 0.115336519  fv Log-Normal        Cox, Gamma    FALSE #> 5557   348 0.5431553 0.107023045  fv Log-Normal        Cox, Gamma    FALSE #> 5573   349 0.5963678 0.115282859  fv Log-Normal        Cox, Gamma    FALSE #> 5589   350 0.7126978 0.135785768  fv Log-Normal        Cox, Gamma    FALSE #> 5605   351 0.5000000 0.098314792  fv Log-Normal        Cox, Gamma    FALSE #> 5621   352 0.7598097 0.144565206  fv Log-Normal        Cox, Gamma    FALSE #> 5637   353 0.6849065 0.131859665  fv Log-Normal        Cox, Gamma    FALSE #> 5653   354 0.5847636 0.113209083  fv Log-Normal        Cox, Gamma    FALSE #> 5669   355 0.6647230 0.126982092  fv Log-Normal        Cox, Gamma    FALSE #> 5685   356 0.6167743          NA  fv Log-Normal        Cox, Gamma       NA #> 5701   357 0.9010051 0.172186528  fv Log-Normal        Cox, Gamma    FALSE #> 5717   358 0.6069449 0.117219188  fv Log-Normal        Cox, Gamma    FALSE #> 5733   359 0.4821542 0.096106206  fv Log-Normal        Cox, Gamma    FALSE #> 5749   360 0.5664989 0.109859357  fv Log-Normal        Cox, Gamma    FALSE #> 5765   361 0.5678027 0.110631454  fv Log-Normal        Cox, Gamma    FALSE #> 5781   362 0.6276318          NA  fv Log-Normal        Cox, Gamma       NA #> 5797   363 0.5816629 0.114016656  fv Log-Normal        Cox, Gamma    FALSE #> 5813   364 0.6859902 0.129879220  fv Log-Normal        Cox, Gamma    FALSE #> 5829   365 0.6491866 0.124319049  fv Log-Normal        Cox, Gamma    FALSE #> 5845   366 0.5865690 0.113684228  fv Log-Normal        Cox, Gamma    FALSE #> 5861   367 0.7319157 0.139897352  fv Log-Normal        Cox, Gamma    FALSE #> 5877   368 0.8046332 0.150989946  fv Log-Normal        Cox, Gamma    FALSE #> 5893   369 0.5082926 0.099866024  fv Log-Normal        Cox, Gamma    FALSE #> 5909   370 0.6604881 0.126498901  fv Log-Normal        Cox, Gamma    FALSE #> 5925   371 0.6356362 0.124258194  fv Log-Normal        Cox, Gamma    FALSE #> 5941   372 0.4589990 0.091576188  fv Log-Normal        Cox, Gamma    FALSE #> 5957   373 0.8629317 0.160738289  fv Log-Normal        Cox, Gamma    FALSE #> 5973   374 0.5057169 0.100061515  fv Log-Normal        Cox, Gamma    FALSE #> 5989   375 0.6330062 0.123040876  fv Log-Normal        Cox, Gamma    FALSE #> 6005   376 0.6046560 0.116978108  fv Log-Normal        Cox, Gamma    FALSE #> 6021   377 0.4747655 0.005013608  fv Log-Normal        Cox, Gamma     TRUE #> 6037   378 0.5334781 0.005584094  fv Log-Normal        Cox, Gamma     TRUE #> 6053   379 0.4830196 0.095784689  fv Log-Normal        Cox, Gamma    FALSE #> 6069   380 0.5694002 0.110358969  fv Log-Normal        Cox, Gamma    FALSE #> 6085   381 0.6863816 0.130635692  fv Log-Normal        Cox, Gamma    FALSE #> 6101   382 0.6287443 0.121561327  fv Log-Normal        Cox, Gamma    FALSE #> 6117   383 0.6705983 0.128564833  fv Log-Normal        Cox, Gamma    FALSE #> 6133   384 0.5832236          NA  fv Log-Normal        Cox, Gamma       NA #> 6149   385 0.5054799 0.100036351  fv Log-Normal        Cox, Gamma    FALSE #> 6165   386 0.7721235 0.146738604  fv Log-Normal        Cox, Gamma    FALSE #> 6181   387 0.5792390 0.113921561  fv Log-Normal        Cox, Gamma    FALSE #> 6197   388 0.6998366 0.131999951  fv Log-Normal        Cox, Gamma    FALSE #> 6213   389 0.6587321 0.125619377  fv Log-Normal        Cox, Gamma    FALSE #> 6229   390 0.5746738 0.111840939  fv Log-Normal        Cox, Gamma    FALSE #> 6245   391 0.7150477 0.135480569  fv Log-Normal        Cox, Gamma    FALSE #> 6261   392 0.5580029 0.109198136  fv Log-Normal        Cox, Gamma    FALSE #> 6277   393 0.5189269 0.101936787  fv Log-Normal        Cox, Gamma    FALSE #> 6293   394 0.8337900 0.157631224  fv Log-Normal        Cox, Gamma    FALSE #> 6309   395 0.6557804 0.125496415  fv Log-Normal        Cox, Gamma    FALSE #> 6325   396 0.8542463 0.159311110  fv Log-Normal        Cox, Gamma    FALSE #> 6341   397 0.5753214 0.111380720  fv Log-Normal        Cox, Gamma    FALSE #> 6357   398 0.5763301          NA  fv Log-Normal        Cox, Gamma       NA #> 6373   399 0.7343354 0.139561737  fv Log-Normal        Cox, Gamma    FALSE #> 6389   400 0.4829329 0.095986778  fv Log-Normal        Cox, Gamma    FALSE #> 6405   401 0.5236326 0.102648828  fv Log-Normal        Cox, Gamma    FALSE #> 6421   402 0.4724927 0.094782726  fv Log-Normal        Cox, Gamma    FALSE #> 6437   403 0.4746930 0.093432378  fv Log-Normal        Cox, Gamma    FALSE #> 6453   404 0.5498989 0.108729092  fv Log-Normal        Cox, Gamma    FALSE #> 6469   405 0.4680169 0.093560491  fv Log-Normal        Cox, Gamma    FALSE #> 6485   406 0.5976504 0.115198092  fv Log-Normal        Cox, Gamma    FALSE #> 6501   407 0.7073151 0.135807607  fv Log-Normal        Cox, Gamma    FALSE #> 6517   408 0.4534840 0.092196184  fv Log-Normal        Cox, Gamma    FALSE #> 6533   409 0.5996849 0.115802131  fv Log-Normal        Cox, Gamma    FALSE #> 6549   410 0.7350483 0.141098444  fv Log-Normal        Cox, Gamma    FALSE #> 6565   411 0.5844294 0.114213027  fv Log-Normal        Cox, Gamma    FALSE #> 6581   412 0.6355002 0.123732471  fv Log-Normal        Cox, Gamma    FALSE #> 6597   413 0.4795980 0.095797688  fv Log-Normal        Cox, Gamma    FALSE #> 6613   414 0.8214290 0.154482941  fv Log-Normal        Cox, Gamma    FALSE #> 6629   415 1.0474272 0.190204210  fv Log-Normal        Cox, Gamma     TRUE #> 6645   416 0.5058717 0.100738059  fv Log-Normal        Cox, Gamma    FALSE #> 6661   417 0.5077597 0.099999290  fv Log-Normal        Cox, Gamma    FALSE #> 6677   418 0.7561877 0.141887306  fv Log-Normal        Cox, Gamma    FALSE #> 6693   419 0.4072063 0.081901396  fv Log-Normal        Cox, Gamma    FALSE #> 6709   420 0.6455902 0.124271550  fv Log-Normal        Cox, Gamma    FALSE #> 6725   421 0.7228223 0.137917495  fv Log-Normal        Cox, Gamma    FALSE #> 6741   422 0.5497526 0.108664623  fv Log-Normal        Cox, Gamma    FALSE #> 6757   423 0.5299681 0.103771903  fv Log-Normal        Cox, Gamma    FALSE #> 6773   424 0.5967779 0.115501171  fv Log-Normal        Cox, Gamma    FALSE #> 6789   425 0.7086593 0.136018726  fv Log-Normal        Cox, Gamma    FALSE #> 6805   426 0.7463880 0.141871924  fv Log-Normal        Cox, Gamma    FALSE #> 6821   427 0.9312417 0.173523729  fv Log-Normal        Cox, Gamma     TRUE #> 6837   428 0.7297720 0.139335836  fv Log-Normal        Cox, Gamma    FALSE #> 6853   429 0.6423904 0.123215428  fv Log-Normal        Cox, Gamma    FALSE #> 6869   430 0.7904786 0.149398357  fv Log-Normal        Cox, Gamma    FALSE #> 6885   431 0.5748521 0.111859450  fv Log-Normal        Cox, Gamma    FALSE #> 6901   432 0.7837588 0.147930476  fv Log-Normal        Cox, Gamma    FALSE #> 6917   433 0.5077611 0.099539593  fv Log-Normal        Cox, Gamma    FALSE #> 6933   434 0.5698565 0.111750053  fv Log-Normal        Cox, Gamma    FALSE #> 6949   435 0.4345445 0.087168355  fv Log-Normal        Cox, Gamma    FALSE #> 6965   436 0.6488462 0.124059132  fv Log-Normal        Cox, Gamma    FALSE #> 6981   437 0.4985519 0.098328201  fv Log-Normal        Cox, Gamma    FALSE #> 6997   438 0.7555537 0.142820397  fv Log-Normal        Cox, Gamma    FALSE #> 7013   439 0.5195431 0.102728067  fv Log-Normal        Cox, Gamma    FALSE #> 7029   440 0.4001901 0.081978639  fv Log-Normal        Cox, Gamma    FALSE #> 7045   441 0.5221735 0.103055594  fv Log-Normal        Cox, Gamma    FALSE #> 7061   442 0.6261760 0.120790762  fv Log-Normal        Cox, Gamma    FALSE #> 7077   443 0.7115103 0.135894182  fv Log-Normal        Cox, Gamma    FALSE #> 7093   444 0.8105371 0.154148350  fv Log-Normal        Cox, Gamma    FALSE #> 7109   445 0.7507591 0.141487559  fv Log-Normal        Cox, Gamma    FALSE #> 7125   446 0.5493869 0.107028499  fv Log-Normal        Cox, Gamma    FALSE #> 7141   447 0.7140244 0.135131039  fv Log-Normal        Cox, Gamma    FALSE #> 7157   448 0.7267933 0.007501018  fv Log-Normal        Cox, Gamma     TRUE #> 7173   449 0.8146904 0.153718357  fv Log-Normal        Cox, Gamma    FALSE #> 7189   450 0.5712926 0.005956948  fv Log-Normal        Cox, Gamma     TRUE #> 7205   451 0.6845371 0.007089436  fv Log-Normal        Cox, Gamma     TRUE #> 7221   452 0.6853901 0.130472792  fv Log-Normal        Cox, Gamma    FALSE #> 7237   453 0.6417479 0.123250237  fv Log-Normal        Cox, Gamma    FALSE #> 7253   454 0.5911276 0.114601422  fv Log-Normal        Cox, Gamma    FALSE #> 7269   455 0.5984098 0.116590552  fv Log-Normal        Cox, Gamma    FALSE #> 7285   456 0.4505173 0.090165786  fv Log-Normal        Cox, Gamma    FALSE #> 7301   457 0.7620831 0.143403670  fv Log-Normal        Cox, Gamma    FALSE #> 7317   458 0.6686242 0.128940301  fv Log-Normal        Cox, Gamma    FALSE #> 7333   459 0.7889405 0.148922011  fv Log-Normal        Cox, Gamma    FALSE #> 7349   460 0.5358846 0.103974358  fv Log-Normal        Cox, Gamma    FALSE #> 7365   461 0.6733711 0.128134140  fv Log-Normal        Cox, Gamma    FALSE #> 7381   462 0.5991040 0.115019026  fv Log-Normal        Cox, Gamma    FALSE #> 7397   463 0.8014668 0.152431379  fv Log-Normal        Cox, Gamma    FALSE #> 7413   464 0.6531009 0.124232793  fv Log-Normal        Cox, Gamma    FALSE #> 7429   465 0.7414829 0.140694298  fv Log-Normal        Cox, Gamma    FALSE #> 7445   466 0.7425237 0.140996639  fv Log-Normal        Cox, Gamma    FALSE #> 7461   467 0.6586817 0.127143401  fv Log-Normal        Cox, Gamma    FALSE #> 7477   468 0.7449020 0.139983687  fv Log-Normal        Cox, Gamma    FALSE #> 7493   469 0.7953894 0.151211847  fv Log-Normal        Cox, Gamma    FALSE #> 7509   470 0.6709136 0.129021836  fv Log-Normal        Cox, Gamma    FALSE #> 7525   471 0.5187494 0.101602830  fv Log-Normal        Cox, Gamma    FALSE #> 7541   472 0.7762352 0.146346463  fv Log-Normal        Cox, Gamma    FALSE #> 7557   473 0.6079842 0.117712573  fv Log-Normal        Cox, Gamma    FALSE #> 7573   474 0.8214972 0.153722361  fv Log-Normal        Cox, Gamma    FALSE #> 7589   475 0.5320746 0.103794209  fv Log-Normal        Cox, Gamma    FALSE #> 7605   476 0.4423624 0.088897145  fv Log-Normal        Cox, Gamma    FALSE #> 7621   477 0.4959494 0.099039376  fv Log-Normal        Cox, Gamma    FALSE #> 7637   478 0.6609360 0.125421024  fv Log-Normal        Cox, Gamma    FALSE #> 7653   479 0.6794332 0.129846506  fv Log-Normal        Cox, Gamma    FALSE #> 7669   480 0.9217237 0.171612582  fv Log-Normal        Cox, Gamma     TRUE #> 7685   481 0.8691868 0.161785535  fv Log-Normal        Cox, Gamma    FALSE #> 7701   482 0.6070555 0.116947739  fv Log-Normal        Cox, Gamma    FALSE #> 7717   483 0.7383561 0.139682652  fv Log-Normal        Cox, Gamma    FALSE #> 7733   484 0.7324532 0.138770244  fv Log-Normal        Cox, Gamma    FALSE #> 7749   485 0.5259924 0.102916295  fv Log-Normal        Cox, Gamma    FALSE #> 7765   486 0.3905568 0.078816713  fv Log-Normal        Cox, Gamma    FALSE #> 7781   487 0.7444582 0.140331842  fv Log-Normal        Cox, Gamma    FALSE #> 7797   488 0.3979924 0.080542514  fv Log-Normal        Cox, Gamma    FALSE #> 7813   489 0.6556261 0.126188084  fv Log-Normal        Cox, Gamma    FALSE #> 7829   490 0.6030237          NA  fv Log-Normal        Cox, Gamma       NA #> 7845   491 0.6246608 0.120905487  fv Log-Normal        Cox, Gamma    FALSE #> 7861   492 0.4825731 0.094903496  fv Log-Normal        Cox, Gamma    FALSE #> 7877   493 0.9584215 0.177094162  fv Log-Normal        Cox, Gamma     TRUE #> 7893   494 0.6014177          NA  fv Log-Normal        Cox, Gamma       NA #> 7909   495 0.7160493 0.135345935  fv Log-Normal        Cox, Gamma    FALSE #> 7925   496 0.8782739 0.009032245  fv Log-Normal        Cox, Gamma     TRUE #> 7941   497 0.5213246 0.102227484  fv Log-Normal        Cox, Gamma    FALSE #> 7957   498 0.6085879          NA  fv Log-Normal        Cox, Gamma       NA #> 7973   499 0.7577549 0.144119208  fv Log-Normal        Cox, Gamma    FALSE #> 7989   500 0.6578232          NA  fv Log-Normal        Cox, Gamma       NA #> 8005   501 1.1931654 0.214830369  fv Log-Normal        Cox, Gamma     TRUE #> 8021   502 0.7043797 0.134622077  fv Log-Normal        Cox, Gamma    FALSE #> 8037   503 0.6449373 0.123467432  fv Log-Normal        Cox, Gamma    FALSE #> 8053   504 0.7763836 0.146112050  fv Log-Normal        Cox, Gamma    FALSE #> 8069   505 0.6039837 0.115828958  fv Log-Normal        Cox, Gamma    FALSE #> 8085   506 0.8130845 0.152643800  fv Log-Normal        Cox, Gamma    FALSE #> 8101   507 0.5864967 0.112727930  fv Log-Normal        Cox, Gamma    FALSE #> 8117   508 0.5052933 0.100823068  fv Log-Normal        Cox, Gamma    FALSE #> 8133   509 0.5737083 0.111195098  fv Log-Normal        Cox, Gamma    FALSE #> 8149   510 0.5598720 0.108532643  fv Log-Normal        Cox, Gamma    FALSE #> 8165   511 0.4042964 0.081176179  fv Log-Normal        Cox, Gamma    FALSE #> 8181   512 0.5921053 0.114606976  fv Log-Normal        Cox, Gamma    FALSE #> 8197   513 0.6463252 0.123735617  fv Log-Normal        Cox, Gamma    FALSE #> 8213   514 0.6396754 0.123749665  fv Log-Normal        Cox, Gamma    FALSE #> 8229   515 0.5031870 0.099629425  fv Log-Normal        Cox, Gamma    FALSE #> 8245   516 0.6478424 0.124667693  fv Log-Normal        Cox, Gamma    FALSE #> 8261   517 0.3317136 0.068474900  fv Log-Normal        Cox, Gamma     TRUE #> 8277   518 0.6553708 0.125632038  fv Log-Normal        Cox, Gamma    FALSE #> 8293   519 0.6725635 0.128430012  fv Log-Normal        Cox, Gamma    FALSE #> 8309   520 0.6841932 0.129888821  fv Log-Normal        Cox, Gamma    FALSE #> 8325   521 0.6377897          NA  fv Log-Normal        Cox, Gamma       NA #> 8341   522 0.4878991 0.096317522  fv Log-Normal        Cox, Gamma    FALSE #> 8357   523 0.6491452 0.123990211  fv Log-Normal        Cox, Gamma    FALSE #> 8373   524 0.5224167 0.104004647  fv Log-Normal        Cox, Gamma    FALSE #> 8389   525 0.6777538 0.130516488  fv Log-Normal        Cox, Gamma    FALSE #> 8405   526 0.5584814 0.109562292  fv Log-Normal        Cox, Gamma    FALSE #> 8421   527 0.6843104 0.132090449  fv Log-Normal        Cox, Gamma    FALSE #> 8437   528 0.7413526 0.140137362  fv Log-Normal        Cox, Gamma    FALSE #> 8453   529 0.7941552 0.148738686  fv Log-Normal        Cox, Gamma    FALSE #> 8469   530 0.3946714 0.079959532  fv Log-Normal        Cox, Gamma    FALSE #> 8485   531 0.7861082 0.147135826  fv Log-Normal        Cox, Gamma    FALSE #> 8501   532 0.6150512          NA  fv Log-Normal        Cox, Gamma       NA #> 8517   533 0.6126927 0.118046878  fv Log-Normal        Cox, Gamma    FALSE #> 8533   534 0.6733886 0.129512171  fv Log-Normal        Cox, Gamma    FALSE #> 8549   535 0.7332816 0.138322504  fv Log-Normal        Cox, Gamma    FALSE #> 8565   536 0.5205081 0.102413941  fv Log-Normal        Cox, Gamma    FALSE #> 8581   537 1.0384914 0.188738973  fv Log-Normal        Cox, Gamma     TRUE #> 8597   538 0.4543334 0.090536911  fv Log-Normal        Cox, Gamma    FALSE #> 8613   539 0.6715901          NA  fv Log-Normal        Cox, Gamma       NA #> 8629   540 0.5523389 0.107900473  fv Log-Normal        Cox, Gamma    FALSE #> 8645   541 0.8043327 0.150755997  fv Log-Normal        Cox, Gamma    FALSE #> 8661   542 0.6934063 0.132246580  fv Log-Normal        Cox, Gamma    FALSE #> 8677   543 0.7469130 0.142208358  fv Log-Normal        Cox, Gamma    FALSE #> 8693   544 0.6771137 0.129576795  fv Log-Normal        Cox, Gamma    FALSE #> 8709   545 0.5138754 0.100742098  fv Log-Normal        Cox, Gamma    FALSE #> 8725   546 0.8303685 0.156135534  fv Log-Normal        Cox, Gamma    FALSE #> 8741   547 0.6111091 0.118380971  fv Log-Normal        Cox, Gamma    FALSE #> 8757   548 0.5141719 0.102038969  fv Log-Normal        Cox, Gamma    FALSE #> 8773   549 0.7349328 0.138690104  fv Log-Normal        Cox, Gamma    FALSE #> 8789   550 0.5083307 0.101829261  fv Log-Normal        Cox, Gamma    FALSE #> 8805   551 0.6683084 0.127523621  fv Log-Normal        Cox, Gamma    FALSE #> 8821   552 0.6281157          NA  fv Log-Normal        Cox, Gamma       NA #> 8837   553 0.7055114 0.132958925  fv Log-Normal        Cox, Gamma    FALSE #> 8853   554 0.8280844 0.156933583  fv Log-Normal        Cox, Gamma    FALSE #> 8869   555 0.6843468 0.130041654  fv Log-Normal        Cox, Gamma    FALSE #> 8885   556 0.7533713 0.142048697  fv Log-Normal        Cox, Gamma    FALSE #> 8901   557 0.6250902 0.120157525  fv Log-Normal        Cox, Gamma    FALSE #> 8917   558 0.6066749 0.117016286  fv Log-Normal        Cox, Gamma    FALSE #> 8933   559 0.5426162 0.106388816  fv Log-Normal        Cox, Gamma    FALSE #> 8949   560 0.7141690 0.135766994  fv Log-Normal        Cox, Gamma    FALSE #> 8965   561 1.0274772 0.187741551  fv Log-Normal        Cox, Gamma     TRUE #> 8981   562 0.7421217 0.140796140  fv Log-Normal        Cox, Gamma    FALSE #> 8997   563 0.6799533 0.129434410  fv Log-Normal        Cox, Gamma    FALSE #> 9013   564 0.5069500 0.099182157  fv Log-Normal        Cox, Gamma    FALSE #> 9029   565 0.5192371 0.102478262  fv Log-Normal        Cox, Gamma    FALSE #> 9045   566 0.6242465 0.120118523  fv Log-Normal        Cox, Gamma    FALSE #> 9061   567 0.5965461 0.115018660  fv Log-Normal        Cox, Gamma    FALSE #> 9077   568 0.4716597 0.093558081  fv Log-Normal        Cox, Gamma    FALSE #> 9093   569 0.7968988 0.150002405  fv Log-Normal        Cox, Gamma    FALSE #> 9109   570 0.4621690 0.091289543  fv Log-Normal        Cox, Gamma    FALSE #> 9125   571 0.5841130 0.112584938  fv Log-Normal        Cox, Gamma    FALSE #> 9141   572 0.5706712 0.111580535  fv Log-Normal        Cox, Gamma    FALSE #> 9157   573 0.5738192 0.111598149  fv Log-Normal        Cox, Gamma    FALSE #> 9173   574 0.6448252 0.123758649  fv Log-Normal        Cox, Gamma    FALSE #> 9189   575 0.5479147 0.107160503  fv Log-Normal        Cox, Gamma    FALSE #> 9205   576 0.5551117 0.108212537  fv Log-Normal        Cox, Gamma    FALSE #> 9221   577 0.9281460 0.174612909  fv Log-Normal        Cox, Gamma     TRUE #> 9237   578 0.5259939 0.103027487  fv Log-Normal        Cox, Gamma    FALSE #> 9253   579 0.5383092 0.106116519  fv Log-Normal        Cox, Gamma    FALSE #> 9269   580 0.4711285 0.094424105  fv Log-Normal        Cox, Gamma    FALSE #> 9285   581 0.6494811 0.124008306  fv Log-Normal        Cox, Gamma    FALSE #> 9301   582 0.6771744 0.129385168  fv Log-Normal        Cox, Gamma    FALSE #> 9317   583 0.8865092 0.163523339  fv Log-Normal        Cox, Gamma    FALSE #> 9333   584 0.5000000 0.098868076  fv Log-Normal        Cox, Gamma    FALSE #> 9349   585 0.6156845 0.118126235  fv Log-Normal        Cox, Gamma    FALSE #> 9365   586 0.6909358 0.132262861  fv Log-Normal        Cox, Gamma    FALSE #> 9381   587 0.8254731 0.156164504  fv Log-Normal        Cox, Gamma    FALSE #> 9397   588 0.4985840 0.098185971  fv Log-Normal        Cox, Gamma    FALSE #> 9413   589 0.5667331 0.110590810  fv Log-Normal        Cox, Gamma    FALSE #> 9429   590 0.6755327 0.128974744  fv Log-Normal        Cox, Gamma    FALSE #> 9445   591 0.7100735 0.134783444  fv Log-Normal        Cox, Gamma    FALSE #> 9461   592 0.6398759 0.122043702  fv Log-Normal        Cox, Gamma    FALSE #> 9477   593 0.8497606 0.159346921  fv Log-Normal        Cox, Gamma    FALSE #> 9493   594 0.5974971 0.114783658  fv Log-Normal        Cox, Gamma    FALSE #> 9509   595 0.4889633 0.096514942  fv Log-Normal        Cox, Gamma    FALSE #> 9525   596 0.7551888 0.146743300  fv Log-Normal        Cox, Gamma    FALSE #> 9541   597 0.5546966 0.108577585  fv Log-Normal        Cox, Gamma    FALSE #> 9557   598 0.8867973 0.164441792  fv Log-Normal        Cox, Gamma    FALSE #> 9573   599 0.7171896 0.139493732  fv Log-Normal        Cox, Gamma    FALSE #> 9589   600 0.4879105 0.096772910  fv Log-Normal        Cox, Gamma    FALSE #> 9605   601 1.0026921          NA  fv Log-Normal        Cox, Gamma     TRUE #> 9621   602 0.9325088 0.173557163  fv Log-Normal        Cox, Gamma     TRUE #> 9637   603 0.3888751 0.079033438  fv Log-Normal        Cox, Gamma    FALSE #> 9653   604 0.6842209 0.130715889  fv Log-Normal        Cox, Gamma    FALSE #> 9669   605 1.2003127 0.217054265  fv Log-Normal        Cox, Gamma     TRUE #> 9685   606 0.6547442          NA  fv Log-Normal        Cox, Gamma       NA #> 9701   607 0.5317105 0.105097289  fv Log-Normal        Cox, Gamma    FALSE #> 9717   608 0.3897320 0.078854986  fv Log-Normal        Cox, Gamma    FALSE #> 9733   609 0.7396654 0.139623911  fv Log-Normal        Cox, Gamma    FALSE #> 9749   610 0.5778586 0.112592700  fv Log-Normal        Cox, Gamma    FALSE #> 9765   611 0.7311360 0.139959143  fv Log-Normal        Cox, Gamma    FALSE #> 9781   612 0.4822317 0.094986841  fv Log-Normal        Cox, Gamma    FALSE #> 9797   613 0.6700561 0.127315233  fv Log-Normal        Cox, Gamma    FALSE #> 9813   614 0.6139652 0.117963537  fv Log-Normal        Cox, Gamma    FALSE #> 9829   615 0.7041258 0.133147573  fv Log-Normal        Cox, Gamma    FALSE #> 9845   616 0.6486597 0.123698992  fv Log-Normal        Cox, Gamma    FALSE #> 9861   617 0.6631049 0.126776116  fv Log-Normal        Cox, Gamma    FALSE #> 9877   618 0.6326642 0.122967228  fv Log-Normal        Cox, Gamma    FALSE #> 9893   619 0.7031687 0.133526200  fv Log-Normal        Cox, Gamma    FALSE #> 9909   620 0.7016931 0.134030260  fv Log-Normal        Cox, Gamma    FALSE #> 9925   621 0.4804179 0.094630231  fv Log-Normal        Cox, Gamma    FALSE #> 9941   622 0.5398830 0.105518836  fv Log-Normal        Cox, Gamma    FALSE #> 9957   623 0.7882768          NA  fv Log-Normal        Cox, Gamma       NA #> 9973   624 0.5199565 0.102594438  fv Log-Normal        Cox, Gamma    FALSE #> 9989   625 0.6821884 0.131007762  fv Log-Normal        Cox, Gamma    FALSE #> 10005  626 0.5553299 0.108156062  fv Log-Normal        Cox, Gamma    FALSE #> 10021  627 0.5171324 0.100946474  fv Log-Normal        Cox, Gamma    FALSE #> 10037  628 0.6021959 0.117996583  fv Log-Normal        Cox, Gamma    FALSE #> 10053  629 0.5988361 0.116317156  fv Log-Normal        Cox, Gamma    FALSE #> 10069  630 0.7275214 0.137648611  fv Log-Normal        Cox, Gamma    FALSE #> 10085  631 0.6014324 0.116267022  fv Log-Normal        Cox, Gamma    FALSE #> 10101  632 0.6539662 0.125735227  fv Log-Normal        Cox, Gamma    FALSE #> 10117  633 0.4515294 0.090140744  fv Log-Normal        Cox, Gamma    FALSE #> 10133  634 0.5366501 0.104960671  fv Log-Normal        Cox, Gamma    FALSE #> 10149  635 0.7992162 0.151686284  fv Log-Normal        Cox, Gamma    FALSE #> 10165  636 0.3679142 0.074745635  fv Log-Normal        Cox, Gamma     TRUE #> 10181  637 0.8172567 0.153430015  fv Log-Normal        Cox, Gamma    FALSE #> 10197  638 0.6188470 0.119900789  fv Log-Normal        Cox, Gamma    FALSE #> 10213  639 0.4075475 0.082636108  fv Log-Normal        Cox, Gamma    FALSE #> 10229  640 0.6079813 0.117311944  fv Log-Normal        Cox, Gamma    FALSE #> 10245  641 0.5327991 0.105035147  fv Log-Normal        Cox, Gamma    FALSE #> 10261  642 0.5597292 0.109129262  fv Log-Normal        Cox, Gamma    FALSE #> 10277  643 0.6139384 0.118367241  fv Log-Normal        Cox, Gamma    FALSE #> 10293  644 0.5866635          NA  fv Log-Normal        Cox, Gamma       NA #> 10309  645 0.7208784 0.137431969  fv Log-Normal        Cox, Gamma    FALSE #> 10325  646 0.6933400 0.131413088  fv Log-Normal        Cox, Gamma    FALSE #> 10341  647 0.5671578 0.109870687  fv Log-Normal        Cox, Gamma    FALSE #> 10357  648 0.9313582 0.172295847  fv Log-Normal        Cox, Gamma     TRUE #> 10373  649 0.5481963 0.107649002  fv Log-Normal        Cox, Gamma    FALSE #> 10389  650 0.7605507 0.143662754  fv Log-Normal        Cox, Gamma    FALSE #> 10405  651 0.6464110 0.123572571  fv Log-Normal        Cox, Gamma    FALSE #> 10421  652 1.0094659          NA  fv Log-Normal        Cox, Gamma     TRUE #> 10437  653 0.4670246 0.092824199  fv Log-Normal        Cox, Gamma    FALSE #> 10453  654 0.5010104 0.099183261  fv Log-Normal        Cox, Gamma    FALSE #> 10469  655 0.6150549          NA  fv Log-Normal        Cox, Gamma       NA #> 10485  656 0.5876953 0.113979268  fv Log-Normal        Cox, Gamma    FALSE #> 10501  657 0.4694330 0.093140718  fv Log-Normal        Cox, Gamma    FALSE #> 10517  658 0.9549667 0.176185188  fv Log-Normal        Cox, Gamma     TRUE #> 10533  659 0.9190884 0.171500306  fv Log-Normal        Cox, Gamma     TRUE #> 10549  660 0.6910145 0.131000152  fv Log-Normal        Cox, Gamma    FALSE #> 10565  661 0.4568377 0.090509242  fv Log-Normal        Cox, Gamma    FALSE #> 10581  662 0.5172112 0.101535270  fv Log-Normal        Cox, Gamma    FALSE #> 10597  663 0.5894338 0.114077847  fv Log-Normal        Cox, Gamma    FALSE #> 10613  664 0.6056533 0.116455334  fv Log-Normal        Cox, Gamma    FALSE #> 10629  665 0.7852957 0.148553995  fv Log-Normal        Cox, Gamma    FALSE #> 10645  666 0.9859896 0.180554439  fv Log-Normal        Cox, Gamma     TRUE #> 10661  667 0.5862766 0.113642712  fv Log-Normal        Cox, Gamma    FALSE #> 10677  668 0.5949446 0.115866220  fv Log-Normal        Cox, Gamma    FALSE #> 10693  669 0.7850263 0.147802853  fv Log-Normal        Cox, Gamma    FALSE #> 10709  670 0.5635746          NA  fv Log-Normal        Cox, Gamma       NA #> 10725  671 0.7259235 0.138202958  fv Log-Normal        Cox, Gamma    FALSE #> 10741  672 0.8718181 0.163010978  fv Log-Normal        Cox, Gamma    FALSE #> 10757  673 0.6408388 0.123876096  fv Log-Normal        Cox, Gamma    FALSE #> 10773  674 0.7466389 0.142055048  fv Log-Normal        Cox, Gamma    FALSE #> 10789  675 0.5421365 0.106966298  fv Log-Normal        Cox, Gamma    FALSE #> 10805  676 0.8391278 0.157251504  fv Log-Normal        Cox, Gamma    FALSE #> 10821  677 0.6225082 0.120465864  fv Log-Normal        Cox, Gamma    FALSE #> 10837  678 0.5245500 0.103447698  fv Log-Normal        Cox, Gamma    FALSE #> 10853  679 0.5851618          NA  fv Log-Normal        Cox, Gamma       NA #> 10869  680 0.6683333 0.127906739  fv Log-Normal        Cox, Gamma    FALSE #> 10885  681 0.8702246 0.162150474  fv Log-Normal        Cox, Gamma    FALSE #> 10901  682 0.5397913 0.104974509  fv Log-Normal        Cox, Gamma    FALSE #> 10917  683 0.7569255 0.145064290  fv Log-Normal        Cox, Gamma    FALSE #> 10933  684 0.9591995 0.177344786  fv Log-Normal        Cox, Gamma     TRUE #> 10949  685 0.5623235 0.109076488  fv Log-Normal        Cox, Gamma    FALSE #> 10965  686 0.8192108 0.153746623  fv Log-Normal        Cox, Gamma    FALSE #> 10981  687 0.5286876 0.103347965  fv Log-Normal        Cox, Gamma    FALSE #> 10997  688 0.5358129 0.105056766  fv Log-Normal        Cox, Gamma    FALSE #> 11013  689 0.5913183 0.115293694  fv Log-Normal        Cox, Gamma    FALSE #> 11029  690 0.7268248 0.137887225  fv Log-Normal        Cox, Gamma    FALSE #> 11045  691 0.7463031 0.145380092  fv Log-Normal        Cox, Gamma    FALSE #> 11061  692 0.5489217 0.106600253  fv Log-Normal        Cox, Gamma    FALSE #> 11077  693 0.4519482 0.090149874  fv Log-Normal        Cox, Gamma    FALSE #> 11093  694 0.6822745 0.130763160  fv Log-Normal        Cox, Gamma    FALSE #> 11109  695 0.5559127 0.108383281  fv Log-Normal        Cox, Gamma    FALSE #> 11125  696 0.6691356 0.127526992  fv Log-Normal        Cox, Gamma    FALSE #> 11141  697 0.8042098 0.152144346  fv Log-Normal        Cox, Gamma    FALSE #> 11157  698 0.4023952 0.081060891  fv Log-Normal        Cox, Gamma    FALSE #> 11173  699 0.6212888 0.120567498  fv Log-Normal        Cox, Gamma    FALSE #> 11189  700 0.4839348 0.095596275  fv Log-Normal        Cox, Gamma    FALSE #> 11205  701 0.7137080 0.135569766  fv Log-Normal        Cox, Gamma    FALSE #> 11221  702 0.7879064 0.150369164  fv Log-Normal        Cox, Gamma    FALSE #> 11237  703 0.6841934 0.131021982  fv Log-Normal        Cox, Gamma    FALSE #> 11253  704 0.5994003 0.116696139  fv Log-Normal        Cox, Gamma    FALSE #> 11269  705 0.5822209 0.112386316  fv Log-Normal        Cox, Gamma    FALSE #> 11285  706 0.6451694 0.123668202  fv Log-Normal        Cox, Gamma    FALSE #> 11301  707 0.7728336 0.144921118  fv Log-Normal        Cox, Gamma    FALSE #> 11317  708 0.7578368 0.142268276  fv Log-Normal        Cox, Gamma    FALSE #> 11333  709 0.7044466 0.137535324  fv Log-Normal        Cox, Gamma    FALSE #> 11349  710 0.4848854 0.096366538  fv Log-Normal        Cox, Gamma    FALSE #> 11365  711 0.6696038 0.131629200  fv Log-Normal        Cox, Gamma    FALSE #> 11381  712 0.6364269          NA  fv Log-Normal        Cox, Gamma       NA #> 11397  713 0.8785677 0.164027544  fv Log-Normal        Cox, Gamma    FALSE #> 11413  714 0.7289698 0.139114880  fv Log-Normal        Cox, Gamma    FALSE #> 11429  715 0.6760923 0.128597343  fv Log-Normal        Cox, Gamma    FALSE #> 11445  716 0.6206559 0.118841559  fv Log-Normal        Cox, Gamma    FALSE #> 11461  717 0.6715545 0.128487711  fv Log-Normal        Cox, Gamma    FALSE #> 11477  718 0.7875216 0.148889321  fv Log-Normal        Cox, Gamma    FALSE #> 11493  719 0.9351608 0.174706425  fv Log-Normal        Cox, Gamma     TRUE #> 11509  720 0.6329848 0.120820543  fv Log-Normal        Cox, Gamma    FALSE #> 11525  721 0.5076976 0.099834680  fv Log-Normal        Cox, Gamma    FALSE #> 11541  722 0.7036759 0.133565138  fv Log-Normal        Cox, Gamma    FALSE #> 11557  723 0.5811768 0.113354759  fv Log-Normal        Cox, Gamma    FALSE #> 11573  724 0.6810073 0.131625143  fv Log-Normal        Cox, Gamma    FALSE #> 11589  725 0.6749253 0.128842134  fv Log-Normal        Cox, Gamma    FALSE #> 11605  726 0.5682980 0.110789939  fv Log-Normal        Cox, Gamma    FALSE #> 11621  727 0.6973867 0.132403499  fv Log-Normal        Cox, Gamma    FALSE #> 11637  728 0.9034403 0.167176467  fv Log-Normal        Cox, Gamma    FALSE #> 11653  729 0.6618256 0.126659612  fv Log-Normal        Cox, Gamma    FALSE #> 11669  730 0.7355975 0.139569325  fv Log-Normal        Cox, Gamma    FALSE #> 11685  731 0.4578597 0.091222814  fv Log-Normal        Cox, Gamma    FALSE #> 11701  732 0.3962879 0.079619289  fv Log-Normal        Cox, Gamma    FALSE #> 11717  733 0.7799217 0.146397355  fv Log-Normal        Cox, Gamma    FALSE #> 11733  734 0.7250782 0.136961355  fv Log-Normal        Cox, Gamma    FALSE #> 11749  735 0.8080674 0.150410061  fv Log-Normal        Cox, Gamma    FALSE #> 11765  736 0.7302051 0.138445599  fv Log-Normal        Cox, Gamma    FALSE #> 11781  737 0.6501185 0.124084760  fv Log-Normal        Cox, Gamma    FALSE #> 11797  738 0.5133997 0.101780781  fv Log-Normal        Cox, Gamma    FALSE #> 11813  739 0.5361525 0.104999322  fv Log-Normal        Cox, Gamma    FALSE #> 11829  740 0.7272712 0.138201013  fv Log-Normal        Cox, Gamma    FALSE #> 11845  741 0.7920042 0.148046562  fv Log-Normal        Cox, Gamma    FALSE #> 11861  742 0.5971878 0.115515589  fv Log-Normal        Cox, Gamma    FALSE #> 11877  743 0.6372487 0.122156878  fv Log-Normal        Cox, Gamma    FALSE #> 11893  744 0.6076604 0.117080863  fv Log-Normal        Cox, Gamma    FALSE #> 11909  745 0.6258474 0.120185601  fv Log-Normal        Cox, Gamma    FALSE #> 11925  746 0.6137741 0.122398199  fv Log-Normal        Cox, Gamma    FALSE #> 11941  747 0.5661390 0.109952145  fv Log-Normal        Cox, Gamma    FALSE #> 11957  748 0.8181814 0.154842528  fv Log-Normal        Cox, Gamma    FALSE #> 11973  749 0.8883396 0.166043136  fv Log-Normal        Cox, Gamma    FALSE #> 11989  750 0.6714251 0.128300301  fv Log-Normal        Cox, Gamma    FALSE #> 12005  751 0.7715463 0.145206839  fv Log-Normal        Cox, Gamma    FALSE #> 12021  752 0.6441060 0.126152659  fv Log-Normal        Cox, Gamma    FALSE #> 12037  753 0.4018435 0.081668489  fv Log-Normal        Cox, Gamma    FALSE #> 12053  754 0.6463386 0.123715910  fv Log-Normal        Cox, Gamma    FALSE #> 12069  755 0.5965575 0.115533717  fv Log-Normal        Cox, Gamma    FALSE #> 12085  756 0.3440358 0.070858933  fv Log-Normal        Cox, Gamma     TRUE #> 12101  757 0.6413942 0.123412706  fv Log-Normal        Cox, Gamma    FALSE #> 12117  758 0.6787276 0.129764259  fv Log-Normal        Cox, Gamma    FALSE #> 12133  759 0.5787070 0.112332541  fv Log-Normal        Cox, Gamma    FALSE #> 12149  760 0.8563906 0.161448535  fv Log-Normal        Cox, Gamma    FALSE #> 12165  761 0.5460240 0.107074937  fv Log-Normal        Cox, Gamma    FALSE #> 12181  762 0.7127921 0.136154341  fv Log-Normal        Cox, Gamma    FALSE #> 12197  763 0.5129074 0.101292545  fv Log-Normal        Cox, Gamma    FALSE #> 12213  764 0.5763837 0.111781244  fv Log-Normal        Cox, Gamma    FALSE #> 12229  765 0.7664589 0.143748738  fv Log-Normal        Cox, Gamma    FALSE #> 12245  766 0.5600605 0.108454352  fv Log-Normal        Cox, Gamma    FALSE #> 12261  767 0.7366908 0.139359440  fv Log-Normal        Cox, Gamma    FALSE #> 12277  768 0.4817040 0.094934157  fv Log-Normal        Cox, Gamma    FALSE #> 12293  769 0.8405919 0.157104432  fv Log-Normal        Cox, Gamma    FALSE #> 12309  770 0.5195843 0.102208060  fv Log-Normal        Cox, Gamma    FALSE #> 12325  771 0.5317918 0.106680566  fv Log-Normal        Cox, Gamma    FALSE #> 12341  772 0.5016173 0.098605760  fv Log-Normal        Cox, Gamma    FALSE #> 12357  773 0.5638723 0.111342842  fv Log-Normal        Cox, Gamma    FALSE #> 12373  774 0.6730202 0.129443064  fv Log-Normal        Cox, Gamma    FALSE #> 12389  775 0.6121184          NA  fv Log-Normal        Cox, Gamma       NA #> 12405  776 0.5603536 0.108454516  fv Log-Normal        Cox, Gamma    FALSE #> 12421  777 0.5635692 0.109901110  fv Log-Normal        Cox, Gamma    FALSE #> 12437  778 0.5287791 0.103608108  fv Log-Normal        Cox, Gamma    FALSE #> 12453  779 0.5459400 0.106667094  fv Log-Normal        Cox, Gamma    FALSE #> 12469  780 0.5454313 0.106487875  fv Log-Normal        Cox, Gamma    FALSE #> 12485  781 0.6435394 0.123723033  fv Log-Normal        Cox, Gamma    FALSE #> 12501  782 0.5440785 0.106183644  fv Log-Normal        Cox, Gamma    FALSE #> 12517  783 0.5646684 0.110072451  fv Log-Normal        Cox, Gamma    FALSE #> 12533  784 0.7140410 0.135997697  fv Log-Normal        Cox, Gamma    FALSE #> 12549  785 0.4320567 0.086209585  fv Log-Normal        Cox, Gamma    FALSE #> 12565  786 0.5871582 0.114417704  fv Log-Normal        Cox, Gamma    FALSE #> 12581  787 0.8307302 0.154887306  fv Log-Normal        Cox, Gamma    FALSE #> 12597  788 0.6235801          NA  fv Log-Normal        Cox, Gamma       NA #> 12613  789 0.7648412 0.144381392  fv Log-Normal        Cox, Gamma    FALSE #> 12629  790 0.6109958 0.117593356  fv Log-Normal        Cox, Gamma    FALSE #> 12645  791 0.3740806 0.075608302  fv Log-Normal        Cox, Gamma     TRUE #> 12661  792 0.5561341 0.110068462  fv Log-Normal        Cox, Gamma    FALSE #> 12677  793 0.7406961 0.139600573  fv Log-Normal        Cox, Gamma    FALSE #> 12693  794 0.6753768 0.133145979  fv Log-Normal        Cox, Gamma    FALSE #> 12709  795 0.5773739 0.112448186  fv Log-Normal        Cox, Gamma    FALSE #> 12725  796 0.5102600 0.100449198  fv Log-Normal        Cox, Gamma    FALSE #> 12741  797 0.5152045 0.100934224  fv Log-Normal        Cox, Gamma    FALSE #> 12757  798 0.4019849 0.081496314  fv Log-Normal        Cox, Gamma    FALSE #> 12773  799 0.6295888 0.120381526  fv Log-Normal        Cox, Gamma    FALSE #> 12789  800 0.6506860 0.125151707  fv Log-Normal        Cox, Gamma    FALSE #> 12805  801 0.9235044 0.172121125  fv Log-Normal        Cox, Gamma     TRUE #> 12821  802 0.6243786 0.119285799  fv Log-Normal        Cox, Gamma    FALSE #> 12837  803 0.6127131 0.118494093  fv Log-Normal        Cox, Gamma    FALSE #> 12853  804 0.6683181 0.127845508  fv Log-Normal        Cox, Gamma    FALSE #> 12869  805 0.8655709 0.164958554  fv Log-Normal        Cox, Gamma    FALSE #> 12885  806 0.8307338 0.158511657  fv Log-Normal        Cox, Gamma    FALSE #> 12901  807 0.6847624 0.007098338  fv Log-Normal        Cox, Gamma     TRUE #> 12917  808 0.4608903 0.091363357  fv Log-Normal        Cox, Gamma    FALSE #> 12933  809 0.5746463 0.111581806  fv Log-Normal        Cox, Gamma    FALSE #> 12949  810 0.6261066 0.120222463  fv Log-Normal        Cox, Gamma    FALSE #> 12965  811 0.4101906 0.082327643  fv Log-Normal        Cox, Gamma    FALSE #> 12981  812 0.6375601 0.122977631  fv Log-Normal        Cox, Gamma    FALSE #> 12997  813 0.7067174 0.133583771  fv Log-Normal        Cox, Gamma    FALSE #> 13013  814 0.6125992 0.118493837  fv Log-Normal        Cox, Gamma    FALSE #> 13029  815 0.5418829 0.107600002  fv Log-Normal        Cox, Gamma    FALSE #> 13045  816 0.5858533          NA  fv Log-Normal        Cox, Gamma       NA #> 13061  817 0.4076984 0.081983169  fv Log-Normal        Cox, Gamma    FALSE #> 13077  818 0.6378915 0.124745913  fv Log-Normal        Cox, Gamma    FALSE #> 13093  819 0.7019073 0.132946154  fv Log-Normal        Cox, Gamma    FALSE #> 13109  820 0.8104918 0.153613082  fv Log-Normal        Cox, Gamma    FALSE #> 13125  821 0.4928717 0.096887270  fv Log-Normal        Cox, Gamma    FALSE #> 13141  822 0.8106514 0.152692972  fv Log-Normal        Cox, Gamma    FALSE #> 13157  823 0.9414082 0.176020573  fv Log-Normal        Cox, Gamma     TRUE #> 13173  824 0.7807771 0.147247985  fv Log-Normal        Cox, Gamma    FALSE #> 13189  825 0.7034024 0.134541272  fv Log-Normal        Cox, Gamma    FALSE #> 13205  826 0.7094238 0.135741788  fv Log-Normal        Cox, Gamma    FALSE #> 13221  827 0.8135921 0.154539346  fv Log-Normal        Cox, Gamma    FALSE #> 13237  828 0.5962366 0.116746571  fv Log-Normal        Cox, Gamma    FALSE #> 13253  829 0.6516192 0.125243568  fv Log-Normal        Cox, Gamma    FALSE #> 13269  830 0.7515323 0.142232279  fv Log-Normal        Cox, Gamma    FALSE #> 13285  831 0.6930557 0.131294024  fv Log-Normal        Cox, Gamma    FALSE #> 13301  832 0.4914554 0.097267429  fv Log-Normal        Cox, Gamma    FALSE #> 13317  833 0.7539417 0.142658069  fv Log-Normal        Cox, Gamma    FALSE #> 13333  834 0.5800657 0.113033660  fv Log-Normal        Cox, Gamma    FALSE #> 13349  835 0.6207208 0.120104030  fv Log-Normal        Cox, Gamma    FALSE #> 13365  836 0.6793893 0.129865727  fv Log-Normal        Cox, Gamma    FALSE #> 13381  837 0.7548904 0.143482390  fv Log-Normal        Cox, Gamma    FALSE #> 13397  838 0.6016750 0.116332111  fv Log-Normal        Cox, Gamma    FALSE #> 13413  839 0.5676191 0.111629149  fv Log-Normal        Cox, Gamma    FALSE #> 13429  840 0.5784233 0.006032357  fv Log-Normal        Cox, Gamma     TRUE #> 13445  841 0.9024294 0.169028872  fv Log-Normal        Cox, Gamma    FALSE #> 13461  842 0.4944220 0.097387303  fv Log-Normal        Cox, Gamma    FALSE #> 13477  843 0.6174343          NA  fv Log-Normal        Cox, Gamma       NA #> 13493  844 0.7765827 0.145469783  fv Log-Normal        Cox, Gamma    FALSE #> 13509  845 0.8061865 0.151157541  fv Log-Normal        Cox, Gamma    FALSE #> 13525  846 0.4946398 0.097713008  fv Log-Normal        Cox, Gamma    FALSE #> 13541  847 0.8872828 0.164244428  fv Log-Normal        Cox, Gamma    FALSE #> 13557  848 0.6722396 0.128137186  fv Log-Normal        Cox, Gamma    FALSE #> 13573  849 0.5499169 0.107476581  fv Log-Normal        Cox, Gamma    FALSE #> 13589  850 0.7639498 0.144795253  fv Log-Normal        Cox, Gamma    FALSE #> 13605  851 0.5845154 0.112833034  fv Log-Normal        Cox, Gamma    FALSE #> 13621  852 0.6056401 0.116696724  fv Log-Normal        Cox, Gamma    FALSE #> 13637  853 0.8570990 0.158665026  fv Log-Normal        Cox, Gamma    FALSE #> 13653  854 0.6183688          NA  fv Log-Normal        Cox, Gamma       NA #> 13669  855 0.5442098 0.106470731  fv Log-Normal        Cox, Gamma    FALSE #> 13685  856 0.7602114 0.143711564  fv Log-Normal        Cox, Gamma    FALSE #> 13701  857 0.7054449 0.134533671  fv Log-Normal        Cox, Gamma    FALSE #> 13717  858 0.8738845 0.162323725  fv Log-Normal        Cox, Gamma    FALSE #> 13733  859 0.8433205 0.158129658  fv Log-Normal        Cox, Gamma    FALSE #> 13749  860 0.6194807 0.120192334  fv Log-Normal        Cox, Gamma    FALSE #> 13765  861 0.4240218 0.085035129  fv Log-Normal        Cox, Gamma    FALSE #> 13781  862 0.5727095 0.111056530  fv Log-Normal        Cox, Gamma    FALSE #> 13797  863 0.5931713 0.114924197  fv Log-Normal        Cox, Gamma    FALSE #> 13813  864 0.7886915 0.148632446  fv Log-Normal        Cox, Gamma    FALSE #> 13829  865 0.8417216 0.157705339  fv Log-Normal        Cox, Gamma    FALSE #> 13845  866 0.7324513 0.140415114  fv Log-Normal        Cox, Gamma    FALSE #> 13861  867 0.5336145 0.105020826  fv Log-Normal        Cox, Gamma    FALSE #> 13877  868 0.8326129 0.157190658  fv Log-Normal        Cox, Gamma    FALSE #> 13893  869 0.4553176 0.090454476  fv Log-Normal        Cox, Gamma    FALSE #> 13909  870 0.7275115 0.139000119  fv Log-Normal        Cox, Gamma    FALSE #> 13925  871 0.4562028 0.090945564  fv Log-Normal        Cox, Gamma    FALSE #> 13941  872 0.4282411 0.086039728  fv Log-Normal        Cox, Gamma    FALSE #> 13957  873 0.7410010 0.139529175  fv Log-Normal        Cox, Gamma    FALSE #> 13973  874 0.6406572 0.123512358  fv Log-Normal        Cox, Gamma    FALSE #> 13989  875 0.5379126 0.104728825  fv Log-Normal        Cox, Gamma    FALSE #> 14005  876 0.5522451 0.108150503  fv Log-Normal        Cox, Gamma    FALSE #> 14021  877 0.5176314 0.102540214  fv Log-Normal        Cox, Gamma    FALSE #> 14037  878 0.6117499 0.118653415  fv Log-Normal        Cox, Gamma    FALSE #> 14053  879 0.6092139 0.117915292  fv Log-Normal        Cox, Gamma    FALSE #> 14069  880 0.7281917 0.137629429  fv Log-Normal        Cox, Gamma    FALSE #> 14085  881 0.4806627 0.094979574  fv Log-Normal        Cox, Gamma    FALSE #> 14101  882 0.6538869 0.126627474  fv Log-Normal        Cox, Gamma    FALSE #> 14117  883 0.5610964 0.109264809  fv Log-Normal        Cox, Gamma    FALSE #> 14133  884 0.4925104 0.097240268  fv Log-Normal        Cox, Gamma    FALSE #> 14149  885 0.6589978 0.126130195  fv Log-Normal        Cox, Gamma    FALSE #> 14165  886 0.5726060 0.111766627  fv Log-Normal        Cox, Gamma    FALSE #> 14181  887 0.3455108 0.071029692  fv Log-Normal        Cox, Gamma     TRUE #> 14197  888 0.5385587 0.104973741  fv Log-Normal        Cox, Gamma    FALSE #> 14213  889 0.6028528 0.116696393  fv Log-Normal        Cox, Gamma    FALSE #> 14229  890 0.6115686 0.117674263  fv Log-Normal        Cox, Gamma    FALSE #> 14245  891 0.6530045 0.124860018  fv Log-Normal        Cox, Gamma    FALSE #> 14261  892 0.9512529 0.177813247  fv Log-Normal        Cox, Gamma     TRUE #> 14277  893 0.4324512 0.086825693  fv Log-Normal        Cox, Gamma    FALSE #> 14293  894 0.5597415 0.110075287  fv Log-Normal        Cox, Gamma    FALSE #> 14309  895 0.7000887 0.134095874  fv Log-Normal        Cox, Gamma    FALSE #> 14325  896 0.4728721 0.093547165  fv Log-Normal        Cox, Gamma    FALSE #> 14341  897 0.5701801 0.110691422  fv Log-Normal        Cox, Gamma    FALSE #> 14357  898 0.6771217 0.129572295  fv Log-Normal        Cox, Gamma    FALSE #> 14373  899 0.7731560 0.148972225  fv Log-Normal        Cox, Gamma    FALSE #> 14389  900 0.6242420 0.120427482  fv Log-Normal        Cox, Gamma    FALSE #> 14405  901 0.6907226 0.131189457  fv Log-Normal        Cox, Gamma    FALSE #> 14421  902 0.7152259 0.135339899  fv Log-Normal        Cox, Gamma    FALSE #> 14437  903 0.5105152 0.100732976  fv Log-Normal        Cox, Gamma    FALSE #> 14453  904 0.5856935 0.113481600  fv Log-Normal        Cox, Gamma    FALSE #> 14469  905 0.5997602          NA  fv Log-Normal        Cox, Gamma       NA #> 14485  906 0.6365419 0.122578578  fv Log-Normal        Cox, Gamma    FALSE #> 14501  907 0.5898802 0.115521684  fv Log-Normal        Cox, Gamma    FALSE #> 14517  908 0.4531988 0.090312108  fv Log-Normal        Cox, Gamma    FALSE #> 14533  909 0.7511674 0.141395630  fv Log-Normal        Cox, Gamma    FALSE #> 14549  910 0.5647211 0.109999123  fv Log-Normal        Cox, Gamma    FALSE #> 14565  911 0.6067530 0.117194452  fv Log-Normal        Cox, Gamma    FALSE #> 14581  912 0.3617871 0.073947377  fv Log-Normal        Cox, Gamma     TRUE #> 14597  913 0.5505871 0.107420031  fv Log-Normal        Cox, Gamma    FALSE #> 14613  914 0.7699292 0.145248215  fv Log-Normal        Cox, Gamma    FALSE #> 14629  915 0.5864275 0.113192932  fv Log-Normal        Cox, Gamma    FALSE #> 14645  916 0.6235821          NA  fv Log-Normal        Cox, Gamma       NA #> 14661  917 0.4809311 0.095930729  fv Log-Normal        Cox, Gamma    FALSE #> 14677  918 0.5527238 0.108983870  fv Log-Normal        Cox, Gamma    FALSE #> 14693  919 0.6191935 0.119875457  fv Log-Normal        Cox, Gamma    FALSE #> 14709  920 0.5966615          NA  fv Log-Normal        Cox, Gamma       NA #> 14725  921 0.9739077 0.178572509  fv Log-Normal        Cox, Gamma     TRUE #> 14741  922 0.5740252 0.111843075  fv Log-Normal        Cox, Gamma    FALSE #> 14757  923 0.8611072 0.160092580  fv Log-Normal        Cox, Gamma    FALSE #> 14773  924 0.6116145 0.118190811  fv Log-Normal        Cox, Gamma    FALSE #> 14789  925 0.6970632 0.133922744  fv Log-Normal        Cox, Gamma    FALSE #> 14805  926 0.7548431 0.141797187  fv Log-Normal        Cox, Gamma    FALSE #> 14821  927 0.7246747 0.137313580  fv Log-Normal        Cox, Gamma    FALSE #> 14837  928 0.6419417          NA  fv Log-Normal        Cox, Gamma       NA #> 14853  929 0.6743449 0.128440051  fv Log-Normal        Cox, Gamma    FALSE #> 14869  930 0.5122725 0.101372331  fv Log-Normal        Cox, Gamma    FALSE #> 14885  931 0.7130454 0.135971450  fv Log-Normal        Cox, Gamma    FALSE #> 14901  932 0.5066433 0.100500273  fv Log-Normal        Cox, Gamma    FALSE #> 14917  933 0.4945458 0.097082695  fv Log-Normal        Cox, Gamma    FALSE #> 14933  934 0.6492706          NA  fv Log-Normal        Cox, Gamma       NA #> 14949  935 0.7595802 0.142781942  fv Log-Normal        Cox, Gamma    FALSE #> 14965  936 0.6649180 0.127703570  fv Log-Normal        Cox, Gamma    FALSE #> 14981  937 0.6533127 0.124319736  fv Log-Normal        Cox, Gamma    FALSE #> 14997  938 0.6926645 0.131356315  fv Log-Normal        Cox, Gamma    FALSE #> 15013  939 0.5077710 0.099590277  fv Log-Normal        Cox, Gamma    FALSE #> 15029  940 0.6933669 0.133191128  fv Log-Normal        Cox, Gamma    FALSE #> 15045  941 0.4268047 0.085815756  fv Log-Normal        Cox, Gamma    FALSE #> 15061  942 0.7084437 0.133839212  fv Log-Normal        Cox, Gamma    FALSE #> 15077  943 0.4584328 0.090854771  fv Log-Normal        Cox, Gamma    FALSE #> 15093  944 0.5666850 0.110036299  fv Log-Normal        Cox, Gamma    FALSE #> 15109  945 0.9440737 0.175421907  fv Log-Normal        Cox, Gamma     TRUE #> 15125  946 0.7158152 0.136016918  fv Log-Normal        Cox, Gamma    FALSE #> 15141  947 0.7167894 0.135529442  fv Log-Normal        Cox, Gamma    FALSE #> 15157  948 0.4493495 0.091216146  fv Log-Normal        Cox, Gamma    FALSE #> 15173  949 0.5803668 0.112156181  fv Log-Normal        Cox, Gamma    FALSE #> 15189  950 0.6935612 0.132417693  fv Log-Normal        Cox, Gamma    FALSE #> 15205  951 0.4651010 0.092037357  fv Log-Normal        Cox, Gamma    FALSE #> 15221  952 0.5304067 0.103569265  fv Log-Normal        Cox, Gamma    FALSE #> 15237  953 0.5574506          NA  fv Log-Normal        Cox, Gamma       NA #> 15253  954 0.7829632 0.149765497  fv Log-Normal        Cox, Gamma    FALSE #> 15269  955 0.6315200 0.121635710  fv Log-Normal        Cox, Gamma    FALSE #> 15285  956 0.7256935 0.136559638  fv Log-Normal        Cox, Gamma    FALSE #> 15301  957 0.5255019 0.102668152  fv Log-Normal        Cox, Gamma    FALSE #> 15317  958 0.5515319 0.108203497  fv Log-Normal        Cox, Gamma    FALSE #> 15333  959 0.6365335 0.006618674  fv Log-Normal        Cox, Gamma     TRUE #> 15349  960 0.4975672 0.097788653  fv Log-Normal        Cox, Gamma    FALSE #> 15365  961 0.7256961 0.136960775  fv Log-Normal        Cox, Gamma    FALSE #> 15381  962 0.6723918 0.128074823  fv Log-Normal        Cox, Gamma    FALSE #> 15397  963 0.8582505 0.161076038  fv Log-Normal        Cox, Gamma    FALSE #> 15413  964 0.6765533 0.131222054  fv Log-Normal        Cox, Gamma    FALSE #> 15429  965 0.4969462 0.098034066  fv Log-Normal        Cox, Gamma    FALSE #> 15445  966 0.8281505 0.153884185  fv Log-Normal        Cox, Gamma    FALSE #> 15461  967 0.8024846 0.151662537  fv Log-Normal        Cox, Gamma    FALSE #> 15477  968 0.7562529 0.144638541  fv Log-Normal        Cox, Gamma    FALSE #> 15493  969 0.9270354 0.171035756  fv Log-Normal        Cox, Gamma     TRUE #> 15509  970 0.7075527 0.135390065  fv Log-Normal        Cox, Gamma    FALSE #> 15525  971 0.7638483 0.143021387  fv Log-Normal        Cox, Gamma    FALSE #> 15541  972 0.5393256 0.105657239  fv Log-Normal        Cox, Gamma    FALSE #> 15557  973 0.7927163 0.148657584  fv Log-Normal        Cox, Gamma    FALSE #> 15573  974 0.8194812 0.153583984  fv Log-Normal        Cox, Gamma    FALSE #> 15589  975 0.8901438 0.164621225  fv Log-Normal        Cox, Gamma    FALSE #> 15605  976 0.7033173 0.135752844  fv Log-Normal        Cox, Gamma    FALSE #> 15621  977 0.9184243 0.169985183  fv Log-Normal        Cox, Gamma     TRUE #> 15637  978 0.7000262 0.133687476  fv Log-Normal        Cox, Gamma    FALSE #> 15653  979 0.5554882 0.108354847  fv Log-Normal        Cox, Gamma    FALSE #> 15669  980 0.6736097 0.129146495  fv Log-Normal        Cox, Gamma    FALSE #> 15685  981 0.5661670 0.109523726  fv Log-Normal        Cox, Gamma    FALSE #> 15701  982 0.5354088 0.104414629  fv Log-Normal        Cox, Gamma    FALSE #> 15717  983 0.6487939 0.124135434  fv Log-Normal        Cox, Gamma    FALSE #> 15733  984 0.6188661 0.120173122  fv Log-Normal        Cox, Gamma    FALSE #> 15749  985 0.7714019 0.145426296  fv Log-Normal        Cox, Gamma    FALSE #> 15765  986 0.6954945 0.133563065  fv Log-Normal        Cox, Gamma    FALSE #> 15781  987 0.6624646 0.129133922  fv Log-Normal        Cox, Gamma    FALSE #> 15797  988 0.7075265 0.133801077  fv Log-Normal        Cox, Gamma    FALSE #> 15813  989 0.7489396 0.140608370  fv Log-Normal        Cox, Gamma    FALSE #> 15829  990 0.6790675 0.130260397  fv Log-Normal        Cox, Gamma    FALSE #> 15845  991 0.7490903 0.141714729  fv Log-Normal        Cox, Gamma    FALSE #> 15861  992 0.6467935 0.124231773  fv Log-Normal        Cox, Gamma    FALSE #> 15877  993 0.6374168 0.121764982  fv Log-Normal        Cox, Gamma    FALSE #> 15893  994 0.6287016 0.122781015  fv Log-Normal        Cox, Gamma    FALSE #> 15909  995 0.5297770 0.103847152  fv Log-Normal        Cox, Gamma    FALSE #> 15925  996 0.6734033 0.130429589  fv Log-Normal        Cox, Gamma    FALSE #> 15941  997 0.5717180 0.110420307  fv Log-Normal        Cox, Gamma    FALSE #> 15957  998 0.5513744 0.107819150  fv Log-Normal        Cox, Gamma    FALSE #> 15973  999 0.6754048 0.129106649  fv Log-Normal        Cox, Gamma    FALSE #> 15989 1000 0.5817786 0.112687286  fv Log-Normal        Cox, Gamma    FALSE #> 6        1 0.7573628 0.123506225  fv Log-Normal   Cox, Log-Normal    FALSE #> 22       2 0.6405703 0.151148609  fv Log-Normal   Cox, Log-Normal    FALSE #> 38       3 0.8261367 0.185927234  fv Log-Normal   Cox, Log-Normal    FALSE #> 54       4 0.6143026 0.132920004  fv Log-Normal   Cox, Log-Normal    FALSE #> 70       5 1.0036278 0.198158194  fv Log-Normal   Cox, Log-Normal    FALSE #> 86       6 0.8832715 0.168543121  fv Log-Normal   Cox, Log-Normal    FALSE #> 102      7 0.5928196 0.100287978  fv Log-Normal   Cox, Log-Normal    FALSE #> 118      8 0.8252806 0.180131613  fv Log-Normal   Cox, Log-Normal    FALSE #> 134      9 0.7244461 0.143635393  fv Log-Normal   Cox, Log-Normal    FALSE #> 150     10 1.0102669 0.202207973  fv Log-Normal   Cox, Log-Normal    FALSE #> 166     11 0.9143155 0.184227624  fv Log-Normal   Cox, Log-Normal    FALSE #> 182     12 0.5534246 0.104169695  fv Log-Normal   Cox, Log-Normal    FALSE #> 198     13 0.8283860 0.166449749  fv Log-Normal   Cox, Log-Normal    FALSE #> 214     14 0.8115641 0.147107977  fv Log-Normal   Cox, Log-Normal    FALSE #> 230     15 0.7390334 0.149549271  fv Log-Normal   Cox, Log-Normal    FALSE #> 246     16 0.5808222 0.137956200  fv Log-Normal   Cox, Log-Normal    FALSE #> 262     17 0.6452196 0.146194236  fv Log-Normal   Cox, Log-Normal    FALSE #> 278     18 0.8714554 0.169853265  fv Log-Normal   Cox, Log-Normal    FALSE #> 294     19 0.9410003 0.159312483  fv Log-Normal   Cox, Log-Normal    FALSE #> 310     20 0.6101011 0.120280145  fv Log-Normal   Cox, Log-Normal    FALSE #> 326     21 0.7051458 0.143022121  fv Log-Normal   Cox, Log-Normal    FALSE #> 342     22 0.5999060 0.090970833  fv Log-Normal   Cox, Log-Normal    FALSE #> 358     23 0.8708236 0.203636912  fv Log-Normal   Cox, Log-Normal    FALSE #> 374     24 0.8089626 0.168542382  fv Log-Normal   Cox, Log-Normal    FALSE #> 390     25 0.6228305 0.119304963  fv Log-Normal   Cox, Log-Normal    FALSE #> 406     26 0.7537106 0.142965921  fv Log-Normal   Cox, Log-Normal    FALSE #> 422     27 0.5366948 0.165486396  fv Log-Normal   Cox, Log-Normal    FALSE #> 438     28 0.7237506 0.149495788  fv Log-Normal   Cox, Log-Normal    FALSE #> 454     29 1.0748691 0.171233165  fv Log-Normal   Cox, Log-Normal     TRUE #> 470     30 0.7213200 0.196299621  fv Log-Normal   Cox, Log-Normal    FALSE #> 486     31 0.5593267 0.126828054  fv Log-Normal   Cox, Log-Normal    FALSE #> 502     32 0.5324768 0.090967716  fv Log-Normal   Cox, Log-Normal    FALSE #> 518     33 0.7693620 0.147380984  fv Log-Normal   Cox, Log-Normal    FALSE #> 534     34 0.9152415 0.206375212  fv Log-Normal   Cox, Log-Normal    FALSE #> 550     35 0.5246976 0.132009450  fv Log-Normal   Cox, Log-Normal    FALSE #> 566     36 0.5188294 0.102537117  fv Log-Normal   Cox, Log-Normal    FALSE #> 582     37 0.7011186 0.157272513  fv Log-Normal   Cox, Log-Normal    FALSE #> 598     38 0.6353909 0.145388120  fv Log-Normal   Cox, Log-Normal    FALSE #> 614     39 0.8001182 0.162578217  fv Log-Normal   Cox, Log-Normal    FALSE #> 630     40 0.5711178 0.160784364  fv Log-Normal   Cox, Log-Normal    FALSE #> 646     41 0.8319567 0.168130783  fv Log-Normal   Cox, Log-Normal    FALSE #> 662     42 0.5614636 0.119677372  fv Log-Normal   Cox, Log-Normal    FALSE #> 678     43 0.5634340 0.106012887  fv Log-Normal   Cox, Log-Normal    FALSE #> 694     44 0.7924587 0.144458133  fv Log-Normal   Cox, Log-Normal    FALSE #> 710     45 0.6313241 0.120340182  fv Log-Normal   Cox, Log-Normal    FALSE #> 726     46 0.3400322 0.055945672  fv Log-Normal   Cox, Log-Normal     TRUE #> 742     47 0.9526428 0.199570335  fv Log-Normal   Cox, Log-Normal    FALSE #> 758     48 0.8841695 0.209442515  fv Log-Normal   Cox, Log-Normal    FALSE #> 774     49 0.9679034 0.166504814  fv Log-Normal   Cox, Log-Normal    FALSE #> 790     50 0.6036607 0.119569376  fv Log-Normal   Cox, Log-Normal    FALSE #> 806     51 0.8862827 0.155150877  fv Log-Normal   Cox, Log-Normal    FALSE #> 822     52 0.5297618 0.099447197  fv Log-Normal   Cox, Log-Normal    FALSE #> 838     53 0.9292767 0.157610779  fv Log-Normal   Cox, Log-Normal    FALSE #> 854     54 0.7239010 0.141347724  fv Log-Normal   Cox, Log-Normal    FALSE #> 870     55 0.9331984 0.171379276  fv Log-Normal   Cox, Log-Normal    FALSE #> 886     56 0.7706847 0.175186290  fv Log-Normal   Cox, Log-Normal    FALSE #> 902     57 0.9189265 0.207804687  fv Log-Normal   Cox, Log-Normal    FALSE #> 918     58 0.7658154 0.166165565  fv Log-Normal   Cox, Log-Normal    FALSE #> 934     59 0.7182062 0.124324102  fv Log-Normal   Cox, Log-Normal    FALSE #> 950     60 1.0041047 0.255917467  fv Log-Normal   Cox, Log-Normal     TRUE #> 966     61 0.7553592 0.164985154  fv Log-Normal   Cox, Log-Normal    FALSE #> 982     62 0.6225567 0.137396308  fv Log-Normal   Cox, Log-Normal    FALSE #> 998     63 0.8218612 0.151697592  fv Log-Normal   Cox, Log-Normal    FALSE #> 1014    64 0.7358860 0.131559640  fv Log-Normal   Cox, Log-Normal    FALSE #> 1030    65 0.9223297 0.240231970  fv Log-Normal   Cox, Log-Normal     TRUE #> 1046    66 0.6545818 0.131376390  fv Log-Normal   Cox, Log-Normal    FALSE #> 1062    67 0.6277202 0.131711521  fv Log-Normal   Cox, Log-Normal    FALSE #> 1078    68 0.5256708 0.115778396  fv Log-Normal   Cox, Log-Normal    FALSE #> 1094    69 0.8150341 0.153682813  fv Log-Normal   Cox, Log-Normal    FALSE #> 1110    70 0.7740717 0.131663013  fv Log-Normal   Cox, Log-Normal    FALSE #> 1126    71 1.0082462 0.227978478  fv Log-Normal   Cox, Log-Normal     TRUE #> 1142    72 0.6084139 0.122907751  fv Log-Normal   Cox, Log-Normal    FALSE #> 1158    73 0.7363271 0.136694735  fv Log-Normal   Cox, Log-Normal    FALSE #> 1174    74 0.4269599 0.099018016  fv Log-Normal   Cox, Log-Normal    FALSE #> 1190    75 0.7249021 0.145933489  fv Log-Normal   Cox, Log-Normal    FALSE #> 1206    76 0.6560751 0.124898132  fv Log-Normal   Cox, Log-Normal    FALSE #> 1222    77 0.8511698 0.197171406  fv Log-Normal   Cox, Log-Normal    FALSE #> 1238    78 0.7871053 0.166915910  fv Log-Normal   Cox, Log-Normal    FALSE #> 1254    79 1.0822921 0.209965236  fv Log-Normal   Cox, Log-Normal     TRUE #> 1270    80 0.5922208 0.101102935  fv Log-Normal   Cox, Log-Normal    FALSE #> 1286    81 1.0111710 0.155662408  fv Log-Normal   Cox, Log-Normal    FALSE #> 1302    82 0.6914727 0.112813615  fv Log-Normal   Cox, Log-Normal    FALSE #> 1318    83 0.8092839 0.153960210  fv Log-Normal   Cox, Log-Normal    FALSE #> 1334    84 0.6559520 0.132512452  fv Log-Normal   Cox, Log-Normal    FALSE #> 1350    85 0.6577962 0.171457580  fv Log-Normal   Cox, Log-Normal    FALSE #> 1366    86 0.5651294 0.146528647  fv Log-Normal   Cox, Log-Normal    FALSE #> 1382    87 0.7661226 0.160460673  fv Log-Normal   Cox, Log-Normal    FALSE #> 1398    88 0.7721346 0.178271337  fv Log-Normal   Cox, Log-Normal    FALSE #> 1414    89 1.0368109 0.213632342  fv Log-Normal   Cox, Log-Normal    FALSE #> 1430    90 0.8168601 0.156924329  fv Log-Normal   Cox, Log-Normal    FALSE #> 1446    91 0.9053362 0.158323513  fv Log-Normal   Cox, Log-Normal    FALSE #> 1462    92 0.8835783 0.208147013  fv Log-Normal   Cox, Log-Normal    FALSE #> 1478    93 0.6132071 0.113008294  fv Log-Normal   Cox, Log-Normal    FALSE #> 1494    94 0.8483006 0.176707967  fv Log-Normal   Cox, Log-Normal    FALSE #> 1510    95 0.6763772 0.139840226  fv Log-Normal   Cox, Log-Normal    FALSE #> 1526    96 0.5777829 0.104392446  fv Log-Normal   Cox, Log-Normal    FALSE #> 1542    97 0.8161674 0.168581778  fv Log-Normal   Cox, Log-Normal    FALSE #> 1558    98 0.4622867 0.077274220  fv Log-Normal   Cox, Log-Normal    FALSE #> 1574    99 0.9279581 0.217300732  fv Log-Normal   Cox, Log-Normal    FALSE #> 1590   100 0.6855048 0.169304914  fv Log-Normal   Cox, Log-Normal    FALSE #> 1606   101 0.6455828 0.111943749  fv Log-Normal   Cox, Log-Normal    FALSE #> 1622   102 0.4964866 0.090284117  fv Log-Normal   Cox, Log-Normal    FALSE #> 1638   103 0.7884297 0.140191610  fv Log-Normal   Cox, Log-Normal    FALSE #> 1654   104 0.7372374 0.160504976  fv Log-Normal   Cox, Log-Normal    FALSE #> 1670   105 0.4689447 0.130167559  fv Log-Normal   Cox, Log-Normal    FALSE #> 1686   106 0.6774750 0.142381935  fv Log-Normal   Cox, Log-Normal    FALSE #> 1702   107 0.8642295 0.176000808  fv Log-Normal   Cox, Log-Normal    FALSE #> 1718   108 0.7159932 0.164105206  fv Log-Normal   Cox, Log-Normal    FALSE #> 1734   109 0.9263322 0.205073657  fv Log-Normal   Cox, Log-Normal    FALSE #> 1750   110 0.9255388 0.203254399  fv Log-Normal   Cox, Log-Normal    FALSE #> 1766   111 0.6391791 0.151025676  fv Log-Normal   Cox, Log-Normal    FALSE #> 1782   112 0.7006322 0.121622711  fv Log-Normal   Cox, Log-Normal    FALSE #> 1798   113 0.8573833 0.120517037  fv Log-Normal   Cox, Log-Normal    FALSE #> 1814   114 0.6713922 0.143109099  fv Log-Normal   Cox, Log-Normal    FALSE #> 1830   115 0.7800116 0.158241038  fv Log-Normal   Cox, Log-Normal    FALSE #> 1846   116 0.7935211 0.143635068  fv Log-Normal   Cox, Log-Normal    FALSE #> 1862   117 0.8402853 0.144118761  fv Log-Normal   Cox, Log-Normal    FALSE #> 1878   118 0.6211441 0.115222597  fv Log-Normal   Cox, Log-Normal    FALSE #> 1894   119 0.5731702 0.104678548  fv Log-Normal   Cox, Log-Normal    FALSE #> 1910   120 0.8207332 0.162722934  fv Log-Normal   Cox, Log-Normal    FALSE #> 1926   121 0.7191754 0.144618775  fv Log-Normal   Cox, Log-Normal    FALSE #> 1942   122 0.5527592 0.153698623  fv Log-Normal   Cox, Log-Normal    FALSE #> 1958   123 0.5289509 0.095546347  fv Log-Normal   Cox, Log-Normal    FALSE #> 1974   124 0.5600358 0.120518423  fv Log-Normal   Cox, Log-Normal    FALSE #> 1990   125 0.5451336 0.088492549  fv Log-Normal   Cox, Log-Normal    FALSE #> 2006   126 1.2150397 0.221438937  fv Log-Normal   Cox, Log-Normal     TRUE #> 2022   127 0.5215282 0.106426631  fv Log-Normal   Cox, Log-Normal    FALSE #> 2038   128 0.5208087 0.101330616  fv Log-Normal   Cox, Log-Normal    FALSE #> 2054   129 0.7158500 0.146716475  fv Log-Normal   Cox, Log-Normal    FALSE #> 2070   130 0.5736312 0.140201893  fv Log-Normal   Cox, Log-Normal    FALSE #> 2086   131 0.6678274 0.113502192  fv Log-Normal   Cox, Log-Normal    FALSE #> 2102   132 0.7954489 0.169093243  fv Log-Normal   Cox, Log-Normal    FALSE #> 2118   133 0.9256333 0.173618373  fv Log-Normal   Cox, Log-Normal    FALSE #> 2134   134 1.0816300 0.168628629  fv Log-Normal   Cox, Log-Normal     TRUE #> 2150   135 0.6646850 0.165230055  fv Log-Normal   Cox, Log-Normal    FALSE #> 2166   136 0.5493449 0.148696582  fv Log-Normal   Cox, Log-Normal    FALSE #> 2182   137 0.5273812 0.117786553  fv Log-Normal   Cox, Log-Normal    FALSE #> 2198   138 0.5253386 0.088599027  fv Log-Normal   Cox, Log-Normal    FALSE #> 2214   139 0.7508027 0.135122381  fv Log-Normal   Cox, Log-Normal    FALSE #> 2230   140 0.8098031 0.141963269  fv Log-Normal   Cox, Log-Normal    FALSE #> 2246   141 0.4369386 0.083891814  fv Log-Normal   Cox, Log-Normal    FALSE #> 2262   142 0.4940935 0.087599059  fv Log-Normal   Cox, Log-Normal    FALSE #> 2278   143 0.5792783 0.101315528  fv Log-Normal   Cox, Log-Normal    FALSE #> 2294   144 0.6762864 0.155722587  fv Log-Normal   Cox, Log-Normal    FALSE #> 2310   145 0.5822286 0.120935529  fv Log-Normal   Cox, Log-Normal    FALSE #> 2326   146 0.7312281 0.136443900  fv Log-Normal   Cox, Log-Normal    FALSE #> 2342   147 0.6361521 0.169644112  fv Log-Normal   Cox, Log-Normal    FALSE #> 2358   148 0.5484598 0.111863218  fv Log-Normal   Cox, Log-Normal    FALSE #> 2374   149 0.4096536 0.100250733  fv Log-Normal   Cox, Log-Normal     TRUE #> 2390   150 0.5619967 0.105650453  fv Log-Normal   Cox, Log-Normal    FALSE #> 2406   151 0.9789970 0.195216476  fv Log-Normal   Cox, Log-Normal    FALSE #> 2422   152 0.7259292 0.151900672  fv Log-Normal   Cox, Log-Normal    FALSE #> 2438   153 0.7965834 0.152245452  fv Log-Normal   Cox, Log-Normal    FALSE #> 2454   154 0.7530393 0.132140632  fv Log-Normal   Cox, Log-Normal    FALSE #> 2470   155 1.0025250 0.232384531  fv Log-Normal   Cox, Log-Normal     TRUE #> 2486   156 0.6533424 0.120684343  fv Log-Normal   Cox, Log-Normal    FALSE #> 2502   157 0.6428468 0.167081803  fv Log-Normal   Cox, Log-Normal    FALSE #> 2518   158 0.6380194 0.127185912  fv Log-Normal   Cox, Log-Normal    FALSE #> 2534   159 0.8212363 0.203723673  fv Log-Normal   Cox, Log-Normal    FALSE #> 2550   160 0.8091504 0.165469968  fv Log-Normal   Cox, Log-Normal    FALSE #> 2566   161 0.9019637 0.169031267  fv Log-Normal   Cox, Log-Normal    FALSE #> 2582   162 1.0323230 0.200155147  fv Log-Normal   Cox, Log-Normal    FALSE #> 2598   163 0.6359122 0.120933159  fv Log-Normal   Cox, Log-Normal    FALSE #> 2614   164 0.6830636 0.149902066  fv Log-Normal   Cox, Log-Normal    FALSE #> 2630   165 0.5514472 0.106974805  fv Log-Normal   Cox, Log-Normal    FALSE #> 2646   166 0.4478951 0.089446434  fv Log-Normal   Cox, Log-Normal    FALSE #> 2662   167 0.7607050 0.130475089  fv Log-Normal   Cox, Log-Normal    FALSE #> 2678   168 0.8939775 0.171724578  fv Log-Normal   Cox, Log-Normal    FALSE #> 2694   169 0.6535068 0.134031000  fv Log-Normal   Cox, Log-Normal    FALSE #> 2710   170 0.7646505 0.136587486  fv Log-Normal   Cox, Log-Normal    FALSE #> 2726   171 0.8427968 0.138307896  fv Log-Normal   Cox, Log-Normal    FALSE #> 2742   172 0.7751922 0.140039170  fv Log-Normal   Cox, Log-Normal    FALSE #> 2758   173 0.7330887 0.134029421  fv Log-Normal   Cox, Log-Normal    FALSE #> 2774   174 0.6091521 0.106460561  fv Log-Normal   Cox, Log-Normal    FALSE #> 2790   175 0.8038532 0.153669430  fv Log-Normal   Cox, Log-Normal    FALSE #> 2806   176 1.0095644 0.198360609  fv Log-Normal   Cox, Log-Normal    FALSE #> 2822   177 0.8252955 0.152377027  fv Log-Normal   Cox, Log-Normal    FALSE #> 2838   178 0.5408288 0.097128672  fv Log-Normal   Cox, Log-Normal    FALSE #> 2854   179 0.9621040 0.157483433  fv Log-Normal   Cox, Log-Normal    FALSE #> 2870   180 0.5787665 0.115056496  fv Log-Normal   Cox, Log-Normal    FALSE #> 2886   181 0.7536706 0.134534082  fv Log-Normal   Cox, Log-Normal    FALSE #> 2902   182 1.2239585 0.231054881  fv Log-Normal   Cox, Log-Normal     TRUE #> 2918   183 0.7538198 0.198686043  fv Log-Normal   Cox, Log-Normal    FALSE #> 2934   184 0.9676200 0.162661310  fv Log-Normal   Cox, Log-Normal    FALSE #> 2950   185 0.8095095 0.154239320  fv Log-Normal   Cox, Log-Normal    FALSE #> 2966   186 0.7963401 0.151409478  fv Log-Normal   Cox, Log-Normal    FALSE #> 2982   187 0.6878139 0.128133229  fv Log-Normal   Cox, Log-Normal    FALSE #> 2998   188 0.8316980 0.199665691  fv Log-Normal   Cox, Log-Normal    FALSE #> 3014   189 0.6992176 0.115061086  fv Log-Normal   Cox, Log-Normal    FALSE #> 3030   190 0.8038076 0.144511600  fv Log-Normal   Cox, Log-Normal    FALSE #> 3046   191 0.7962095 0.180472090  fv Log-Normal   Cox, Log-Normal    FALSE #> 3062   192 0.6544469 0.152934636  fv Log-Normal   Cox, Log-Normal    FALSE #> 3078   193 0.7893740 0.183862164  fv Log-Normal   Cox, Log-Normal    FALSE #> 3094   194 0.9888659 0.175645880  fv Log-Normal   Cox, Log-Normal    FALSE #> 3110   195 0.5870695 0.128305897  fv Log-Normal   Cox, Log-Normal    FALSE #> 3126   196 0.6371292 0.130232476  fv Log-Normal   Cox, Log-Normal    FALSE #> 3142   197 0.6610005 0.111740926  fv Log-Normal   Cox, Log-Normal    FALSE #> 3158   198 0.7978277 0.140662110  fv Log-Normal   Cox, Log-Normal    FALSE #> 3174   199 0.5343989 0.094741806  fv Log-Normal   Cox, Log-Normal    FALSE #> 3190   200 0.6102206 0.130221390  fv Log-Normal   Cox, Log-Normal    FALSE #> 3206   201 0.8895148 0.164670932  fv Log-Normal   Cox, Log-Normal    FALSE #> 3222   202 0.7229980 0.120155652  fv Log-Normal   Cox, Log-Normal    FALSE #> 3238   203 0.6368252 0.115279152  fv Log-Normal   Cox, Log-Normal    FALSE #> 3254   204 0.6809315 0.138454115  fv Log-Normal   Cox, Log-Normal    FALSE #> 3270   205 0.6617769 0.130662589  fv Log-Normal   Cox, Log-Normal    FALSE #> 3286   206 0.7916678 0.146803021  fv Log-Normal   Cox, Log-Normal    FALSE #> 3302   207 0.8047997 0.205254562  fv Log-Normal   Cox, Log-Normal    FALSE #> 3318   208 1.0690480 0.176315972  fv Log-Normal   Cox, Log-Normal     TRUE #> 3334   209 0.6734025 0.157675845  fv Log-Normal   Cox, Log-Normal    FALSE #> 3350   210 0.7235119 0.168335407  fv Log-Normal   Cox, Log-Normal    FALSE #> 3366   211 0.8209679 0.150541551  fv Log-Normal   Cox, Log-Normal    FALSE #> 3382   212 0.8093963 0.164234906  fv Log-Normal   Cox, Log-Normal    FALSE #> 3398   213 0.6197138 0.117369296  fv Log-Normal   Cox, Log-Normal    FALSE #> 3414   214 0.6649361 0.120661018  fv Log-Normal   Cox, Log-Normal    FALSE #> 3430   215 0.6650857 0.179625366  fv Log-Normal   Cox, Log-Normal    FALSE #> 3446   216 0.9689108 0.174717968  fv Log-Normal   Cox, Log-Normal    FALSE #> 3462   217 0.7612506 0.147631973  fv Log-Normal   Cox, Log-Normal    FALSE #> 3478   218 0.5926323 0.153430759  fv Log-Normal   Cox, Log-Normal    FALSE #> 3494   219 0.8441365 0.191720259  fv Log-Normal   Cox, Log-Normal    FALSE #> 3510   220 0.9102425 0.169208023  fv Log-Normal   Cox, Log-Normal    FALSE #> 3526   221 0.6440419 0.169991151  fv Log-Normal   Cox, Log-Normal    FALSE #> 3542   222 0.3699244 0.073773612  fv Log-Normal   Cox, Log-Normal     TRUE #> 3558   223 0.5477821 0.112031749  fv Log-Normal   Cox, Log-Normal    FALSE #> 3574   224 0.5942285 0.107253851  fv Log-Normal   Cox, Log-Normal    FALSE #> 3590   225 0.8208106 0.157270676  fv Log-Normal   Cox, Log-Normal    FALSE #> 3606   226 1.0721837 0.179757807  fv Log-Normal   Cox, Log-Normal     TRUE #> 3622   227 0.7651791 0.135412199  fv Log-Normal   Cox, Log-Normal    FALSE #> 3638   228 0.8680490 0.143223630  fv Log-Normal   Cox, Log-Normal    FALSE #> 3654   229 0.4073158 0.083161888  fv Log-Normal   Cox, Log-Normal     TRUE #> 3670   230 0.6139439 0.120049198  fv Log-Normal   Cox, Log-Normal    FALSE #> 3686   231 0.6567719 0.124099366  fv Log-Normal   Cox, Log-Normal    FALSE #> 3702   232 0.9446119 0.189529640  fv Log-Normal   Cox, Log-Normal    FALSE #> 3718   233 0.9526530 0.209694354  fv Log-Normal   Cox, Log-Normal    FALSE #> 3734   234 0.9358169 0.188575345  fv Log-Normal   Cox, Log-Normal    FALSE #> 3750   235 0.5533697 0.097841887  fv Log-Normal   Cox, Log-Normal    FALSE #> 3766   236 0.6345935 0.120180217  fv Log-Normal   Cox, Log-Normal    FALSE #> 3782   237 0.5440302 0.109896985  fv Log-Normal   Cox, Log-Normal    FALSE #> 3798   238 0.8898235 0.229632108  fv Log-Normal   Cox, Log-Normal     TRUE #> 3814   239 0.9262859 0.200846435  fv Log-Normal   Cox, Log-Normal    FALSE #> 3830   240 0.6338872 0.129524301  fv Log-Normal   Cox, Log-Normal    FALSE #> 3846   241 0.7667705 0.153378360  fv Log-Normal   Cox, Log-Normal    FALSE #> 3862   242 0.5466475 0.100527491  fv Log-Normal   Cox, Log-Normal    FALSE #> 3878   243 0.6728653 0.123466796  fv Log-Normal   Cox, Log-Normal    FALSE #> 3894   244 0.6107308 0.139143285  fv Log-Normal   Cox, Log-Normal    FALSE #> 3910   245 0.4997340 0.111627420  fv Log-Normal   Cox, Log-Normal    FALSE #> 3926   246 0.7877534 0.194794439  fv Log-Normal   Cox, Log-Normal    FALSE #> 3942   247 0.6585011 0.152234917  fv Log-Normal   Cox, Log-Normal    FALSE #> 3958   248 1.1751511 0.286449350  fv Log-Normal   Cox, Log-Normal     TRUE #> 3974   249 0.5939856 0.117058074  fv Log-Normal   Cox, Log-Normal    FALSE #> 3990   250 0.7479317 0.166505164  fv Log-Normal   Cox, Log-Normal    FALSE #> 4006   251 0.6258817 0.112068474  fv Log-Normal   Cox, Log-Normal    FALSE #> 4022   252 0.4768019 0.119359450  fv Log-Normal   Cox, Log-Normal    FALSE #> 4038   253 0.8642953 0.190101155  fv Log-Normal   Cox, Log-Normal    FALSE #> 4054   254 0.7457473 0.159020740  fv Log-Normal   Cox, Log-Normal    FALSE #> 4070   255 0.9277065 0.230633805  fv Log-Normal   Cox, Log-Normal     TRUE #> 4086   256 0.8557776 0.195869085  fv Log-Normal   Cox, Log-Normal    FALSE #> 4102   257 0.8342419 0.124293996  fv Log-Normal   Cox, Log-Normal    FALSE #> 4118   258 0.4166917 0.091790350  fv Log-Normal   Cox, Log-Normal     TRUE #> 4134   259 0.6658868 0.122476181  fv Log-Normal   Cox, Log-Normal    FALSE #> 4150   260 0.6874868 0.138634719  fv Log-Normal   Cox, Log-Normal    FALSE #> 4166   261 0.8838488 0.152030166  fv Log-Normal   Cox, Log-Normal    FALSE #> 4182   262 0.6874792 0.132166589  fv Log-Normal   Cox, Log-Normal    FALSE #> 4198   263 0.8748474 0.168551544  fv Log-Normal   Cox, Log-Normal    FALSE #> 4214   264 0.7949965 0.167523004  fv Log-Normal   Cox, Log-Normal    FALSE #> 4230   265 0.6229840 0.104494211  fv Log-Normal   Cox, Log-Normal    FALSE #> 4246   266 0.6632234 0.135646780  fv Log-Normal   Cox, Log-Normal    FALSE #> 4262   267 0.6158842 0.130400568  fv Log-Normal   Cox, Log-Normal    FALSE #> 4278   268 0.9506333 0.175878947  fv Log-Normal   Cox, Log-Normal    FALSE #> 4294   269 0.6188439 0.130825645  fv Log-Normal   Cox, Log-Normal    FALSE #> 4310   270 0.6262115 0.114392203  fv Log-Normal   Cox, Log-Normal    FALSE #> 4326   271 0.7801412 0.198342003  fv Log-Normal   Cox, Log-Normal    FALSE #> 4342   272 0.5658894 0.105200138  fv Log-Normal   Cox, Log-Normal    FALSE #> 4358   273 0.7581958 0.155271956  fv Log-Normal   Cox, Log-Normal    FALSE #> 4374   274 0.7608956 0.184496710  fv Log-Normal   Cox, Log-Normal    FALSE #> 4390   275 0.6392780 0.170823574  fv Log-Normal   Cox, Log-Normal    FALSE #> 4406   276 0.7882949 0.154743052  fv Log-Normal   Cox, Log-Normal    FALSE #> 4422   277 0.7194733 0.150653839  fv Log-Normal   Cox, Log-Normal    FALSE #> 4438   278 0.6262877 0.146135300  fv Log-Normal   Cox, Log-Normal    FALSE #> 4454   279 0.8160827 0.161699463  fv Log-Normal   Cox, Log-Normal    FALSE #> 4470   280 0.8380508 0.165760210  fv Log-Normal   Cox, Log-Normal    FALSE #> 4486   281 0.7250819 0.136678134  fv Log-Normal   Cox, Log-Normal    FALSE #> 4502   282 0.6543630 0.124834778  fv Log-Normal   Cox, Log-Normal    FALSE #> 4518   283 0.8861316 0.181607406  fv Log-Normal   Cox, Log-Normal    FALSE #> 4534   284 0.6234693 0.121773534  fv Log-Normal   Cox, Log-Normal    FALSE #> 4550   285 0.7075084 0.140506363  fv Log-Normal   Cox, Log-Normal    FALSE #> 4566   286 0.6991377 0.141637828  fv Log-Normal   Cox, Log-Normal    FALSE #> 4582   287 0.5969511 0.095232884  fv Log-Normal   Cox, Log-Normal    FALSE #> 4598   288 0.6185630 0.128807253  fv Log-Normal   Cox, Log-Normal    FALSE #> 4614   289 0.6932102 0.126244042  fv Log-Normal   Cox, Log-Normal    FALSE #> 4630   290 0.6795473 0.133309208  fv Log-Normal   Cox, Log-Normal    FALSE #> 4646   291 0.7658600 0.125787549  fv Log-Normal   Cox, Log-Normal    FALSE #> 4662   292 0.6655638 0.182337657  fv Log-Normal   Cox, Log-Normal    FALSE #> 4678   293 0.6811121 0.097619440  fv Log-Normal   Cox, Log-Normal    FALSE #> 4694   294 0.7341433 0.126424230  fv Log-Normal   Cox, Log-Normal    FALSE #> 4710   295 0.6397064 0.131345588  fv Log-Normal   Cox, Log-Normal    FALSE #> 4726   296 0.8036840 0.153632947  fv Log-Normal   Cox, Log-Normal    FALSE #> 4742   297 0.4156726 0.078965945  fv Log-Normal   Cox, Log-Normal     TRUE #> 4758   298 0.6992210 0.122399735  fv Log-Normal   Cox, Log-Normal    FALSE #> 4774   299 0.7895367 0.126931179  fv Log-Normal   Cox, Log-Normal    FALSE #> 4790   300 0.6389342 0.119908849  fv Log-Normal   Cox, Log-Normal    FALSE #> 4806   301 1.0721887 0.198275473  fv Log-Normal   Cox, Log-Normal     TRUE #> 4822   302 0.7313978 0.168882249  fv Log-Normal   Cox, Log-Normal    FALSE #> 4838   303 0.6443221 0.103189570  fv Log-Normal   Cox, Log-Normal    FALSE #> 4854   304 0.6883138 0.109793240  fv Log-Normal   Cox, Log-Normal    FALSE #> 4870   305 0.8457392 0.150880524  fv Log-Normal   Cox, Log-Normal    FALSE #> 4886   306 0.5848402 0.114151600  fv Log-Normal   Cox, Log-Normal    FALSE #> 4902   307 0.6233021 0.109508346  fv Log-Normal   Cox, Log-Normal    FALSE #> 4918   308 0.7261324 0.145349003  fv Log-Normal   Cox, Log-Normal    FALSE #> 4934   309 0.6156243 0.121821259  fv Log-Normal   Cox, Log-Normal    FALSE #> 4950   310 0.6653635 0.156392201  fv Log-Normal   Cox, Log-Normal    FALSE #> 4966   311 0.8914660 0.154933778  fv Log-Normal   Cox, Log-Normal    FALSE #> 4982   312 0.7331430 0.136281844  fv Log-Normal   Cox, Log-Normal    FALSE #> 4998   313 0.5088109 0.113177945  fv Log-Normal   Cox, Log-Normal    FALSE #> 5014   314 0.6998085 0.147494090  fv Log-Normal   Cox, Log-Normal    FALSE #> 5030   315 0.6788598 0.118669605  fv Log-Normal   Cox, Log-Normal    FALSE #> 5046   316 0.5935425 0.134907825  fv Log-Normal   Cox, Log-Normal    FALSE #> 5062   317 0.8622104 0.132961863  fv Log-Normal   Cox, Log-Normal    FALSE #> 5078   318 0.5477029 0.159243237  fv Log-Normal   Cox, Log-Normal    FALSE #> 5094   319 0.7504793 0.175775213  fv Log-Normal   Cox, Log-Normal    FALSE #> 5110   320 0.8374628 0.142534760  fv Log-Normal   Cox, Log-Normal    FALSE #> 5126   321 0.9088461 0.199125271  fv Log-Normal   Cox, Log-Normal    FALSE #> 5142   322 0.5883454 0.138882190  fv Log-Normal   Cox, Log-Normal    FALSE #> 5158   323 0.8097169 0.145185115  fv Log-Normal   Cox, Log-Normal    FALSE #> 5174   324 0.5327484 0.097126455  fv Log-Normal   Cox, Log-Normal    FALSE #> 5190   325 0.6209278 0.123937040  fv Log-Normal   Cox, Log-Normal    FALSE #> 5206   326 1.0813592 0.260419864  fv Log-Normal   Cox, Log-Normal     TRUE #> 5222   327 0.5318052 0.101090195  fv Log-Normal   Cox, Log-Normal    FALSE #> 5238   328 0.7967825 0.152965020  fv Log-Normal   Cox, Log-Normal    FALSE #> 5254   329 0.6356635 0.133230934  fv Log-Normal   Cox, Log-Normal    FALSE #> 5270   330 0.5814746 0.143686266  fv Log-Normal   Cox, Log-Normal    FALSE #> 5286   331 0.9345516 0.181733555  fv Log-Normal   Cox, Log-Normal    FALSE #> 5302   332 0.6891797 0.105822208  fv Log-Normal   Cox, Log-Normal    FALSE #> 5318   333 0.5057585 0.107033611  fv Log-Normal   Cox, Log-Normal    FALSE #> 5334   334 0.5523392 0.103592158  fv Log-Normal   Cox, Log-Normal    FALSE #> 5350   335 0.5487718 0.096238261  fv Log-Normal   Cox, Log-Normal    FALSE #> 5366   336 0.7938662 0.153381827  fv Log-Normal   Cox, Log-Normal    FALSE #> 5382   337 0.6558362 0.122412197  fv Log-Normal   Cox, Log-Normal    FALSE #> 5398   338 0.7716627 0.133216328  fv Log-Normal   Cox, Log-Normal    FALSE #> 5414   339 0.5946563 0.112089158  fv Log-Normal   Cox, Log-Normal    FALSE #> 5430   340 0.9258154 0.173020079  fv Log-Normal   Cox, Log-Normal    FALSE #> 5446   341 0.6554285 0.188998496  fv Log-Normal   Cox, Log-Normal    FALSE #> 5462   342 0.5903363 0.103543007  fv Log-Normal   Cox, Log-Normal    FALSE #> 5478   343 0.5801205 0.105220570  fv Log-Normal   Cox, Log-Normal    FALSE #> 5494   344 0.6781217 0.139143373  fv Log-Normal   Cox, Log-Normal    FALSE #> 5510   345 0.6961196 0.128199872  fv Log-Normal   Cox, Log-Normal    FALSE #> 5526   346 0.5227107 0.129366265  fv Log-Normal   Cox, Log-Normal    FALSE #> 5542   347 0.6271774 0.116481432  fv Log-Normal   Cox, Log-Normal    FALSE #> 5558   348 0.6129095 0.127848791  fv Log-Normal   Cox, Log-Normal    FALSE #> 5574   349 0.7061869 0.130911383  fv Log-Normal   Cox, Log-Normal    FALSE #> 5590   350 0.7924372 0.140354741  fv Log-Normal   Cox, Log-Normal    FALSE #> 5606   351 0.6081129 0.110915071  fv Log-Normal   Cox, Log-Normal    FALSE #> 5622   352 0.8113829 0.207987891  fv Log-Normal   Cox, Log-Normal    FALSE #> 5638   353 0.7123554 0.148029613  fv Log-Normal   Cox, Log-Normal    FALSE #> 5654   354 0.6733492 0.120250828  fv Log-Normal   Cox, Log-Normal    FALSE #> 5670   355 0.7413575 0.117491541  fv Log-Normal   Cox, Log-Normal    FALSE #> 5686   356 0.6356097 0.136723847  fv Log-Normal   Cox, Log-Normal    FALSE #> 5702   357 0.9077288 0.201687015  fv Log-Normal   Cox, Log-Normal    FALSE #> 5718   358 0.6760533 0.114786462  fv Log-Normal   Cox, Log-Normal    FALSE #> 5734   359 0.5219090 0.108201573  fv Log-Normal   Cox, Log-Normal    FALSE #> 5750   360 0.6815372 0.124079334  fv Log-Normal   Cox, Log-Normal    FALSE #> 5766   361 0.6430326 0.131155722  fv Log-Normal   Cox, Log-Normal    FALSE #> 5782   362 0.6311695 0.139240974  fv Log-Normal   Cox, Log-Normal    FALSE #> 5798   363 0.6177379 0.136118552  fv Log-Normal   Cox, Log-Normal    FALSE #> 5814   364 0.8976105 0.177776665  fv Log-Normal   Cox, Log-Normal    FALSE #> 5830   365 0.8077777 0.181160990  fv Log-Normal   Cox, Log-Normal    FALSE #> 5846   366 0.6859270 0.163243165  fv Log-Normal   Cox, Log-Normal    FALSE #> 5862   367 0.8039909 0.173052304  fv Log-Normal   Cox, Log-Normal    FALSE #> 5878   368 0.9904820 0.206693114  fv Log-Normal   Cox, Log-Normal    FALSE #> 5894   369 0.6043360 0.105582542  fv Log-Normal   Cox, Log-Normal    FALSE #> 5910   370 0.7742858 0.160759545  fv Log-Normal   Cox, Log-Normal    FALSE #> 5926   371 0.6578030 0.151843773  fv Log-Normal   Cox, Log-Normal    FALSE #> 5942   372 0.5007659 0.102818471  fv Log-Normal   Cox, Log-Normal    FALSE #> 5958   373 1.1151799 0.262411215  fv Log-Normal   Cox, Log-Normal     TRUE #> 5974   374 0.5438101 0.110074187  fv Log-Normal   Cox, Log-Normal    FALSE #> 5990   375 0.6580755 0.148102054  fv Log-Normal   Cox, Log-Normal    FALSE #> 6006   376 0.7039508 0.155302979  fv Log-Normal   Cox, Log-Normal    FALSE #> 6022   377 0.5414599 0.090535372  fv Log-Normal   Cox, Log-Normal    FALSE #> 6038   378 0.6197608 0.130994750  fv Log-Normal   Cox, Log-Normal    FALSE #> 6054   379 0.5067599 0.084260679  fv Log-Normal   Cox, Log-Normal    FALSE #> 6070   380 0.6564966 0.109664243  fv Log-Normal   Cox, Log-Normal    FALSE #> 6086   381 0.8540702 0.184255358  fv Log-Normal   Cox, Log-Normal    FALSE #> 6102   382 0.7318377 0.153279580  fv Log-Normal   Cox, Log-Normal    FALSE #> 6118   383 0.7133871 0.142053344  fv Log-Normal   Cox, Log-Normal    FALSE #> 6134   384 0.7092118 0.136370965  fv Log-Normal   Cox, Log-Normal    FALSE #> 6150   385 0.5917005 0.147258323  fv Log-Normal   Cox, Log-Normal    FALSE #> 6166   386 0.9153763 0.229498321  fv Log-Normal   Cox, Log-Normal     TRUE #> 6182   387 0.5871767 0.123612345  fv Log-Normal   Cox, Log-Normal    FALSE #> 6198   388 0.9291695 0.122982818  fv Log-Normal   Cox, Log-Normal    FALSE #> 6214   389 0.8058096 0.150461962  fv Log-Normal   Cox, Log-Normal    FALSE #> 6230   390 0.6773542 0.151801071  fv Log-Normal   Cox, Log-Normal    FALSE #> 6246   391 0.8182120 0.134244623  fv Log-Normal   Cox, Log-Normal    FALSE #> 6262   392 0.6261693 0.144322919  fv Log-Normal   Cox, Log-Normal    FALSE #> 6278   393 0.5608767 0.087397909  fv Log-Normal   Cox, Log-Normal    FALSE #> 6294   394 0.8782935 0.189730141  fv Log-Normal   Cox, Log-Normal    FALSE #> 6310   395 0.7611073 0.155530156  fv Log-Normal   Cox, Log-Normal    FALSE #> 6326   396 1.0179662 0.186941257  fv Log-Normal   Cox, Log-Normal    FALSE #> 6342   397 0.7116466 0.138074147  fv Log-Normal   Cox, Log-Normal    FALSE #> 6358   398 0.6727192 0.112933246  fv Log-Normal   Cox, Log-Normal    FALSE #> 6374   399 0.8183800 0.153200171  fv Log-Normal   Cox, Log-Normal    FALSE #> 6390   400 0.5367667 0.115885505  fv Log-Normal   Cox, Log-Normal    FALSE #> 6406   401 0.6126184 0.116844582  fv Log-Normal   Cox, Log-Normal    FALSE #> 6422   402 0.5449950 0.165808259  fv Log-Normal   Cox, Log-Normal    FALSE #> 6438   403 0.6208233 0.124821022  fv Log-Normal   Cox, Log-Normal    FALSE #> 6454   404 0.5770424 0.151038157  fv Log-Normal   Cox, Log-Normal    FALSE #> 6470   405 0.4747106 0.100298660  fv Log-Normal   Cox, Log-Normal    FALSE #> 6486   406 0.7328698 0.142571527  fv Log-Normal   Cox, Log-Normal    FALSE #> 6502   407 0.7521805 0.168896665  fv Log-Normal   Cox, Log-Normal    FALSE #> 6518   408 0.4939505 0.126659415  fv Log-Normal   Cox, Log-Normal    FALSE #> 6534   409 0.7342496 0.137209818  fv Log-Normal   Cox, Log-Normal    FALSE #> 6550   410 0.7711058 0.166901809  fv Log-Normal   Cox, Log-Normal    FALSE #> 6566   411 0.6537021 0.158644072  fv Log-Normal   Cox, Log-Normal    FALSE #> 6582   412 0.6641258 0.185779173  fv Log-Normal   Cox, Log-Normal    FALSE #> 6598   413 0.5336693 0.120967307  fv Log-Normal   Cox, Log-Normal    FALSE #> 6614   414 0.8645269 0.156417045  fv Log-Normal   Cox, Log-Normal    FALSE #> 6630   415 1.2669904 0.221355780  fv Log-Normal   Cox, Log-Normal     TRUE #> 6646   416 0.5679880 0.136164326  fv Log-Normal   Cox, Log-Normal    FALSE #> 6662   417 0.5518002 0.097475326  fv Log-Normal   Cox, Log-Normal    FALSE #> 6678   418 0.8899199 0.126041947  fv Log-Normal   Cox, Log-Normal    FALSE #> 6694   419 0.4910310 0.096522319  fv Log-Normal   Cox, Log-Normal    FALSE #> 6710   420 0.7613114 0.168472044  fv Log-Normal   Cox, Log-Normal    FALSE #> 6726   421 0.7927672 0.149403972  fv Log-Normal   Cox, Log-Normal    FALSE #> 6742   422 0.5762327 0.132336946  fv Log-Normal   Cox, Log-Normal    FALSE #> 6758   423 0.5858586 0.109042212  fv Log-Normal   Cox, Log-Normal    FALSE #> 6774   424 0.6812210 0.135407029  fv Log-Normal   Cox, Log-Normal    FALSE #> 6790   425 0.7494056 0.158380464  fv Log-Normal   Cox, Log-Normal    FALSE #> 6806   426 0.8255828 0.167092229  fv Log-Normal   Cox, Log-Normal    FALSE #> 6822   427 0.9580083 0.193525749  fv Log-Normal   Cox, Log-Normal    FALSE #> 6838   428 0.8200189 0.174800466  fv Log-Normal   Cox, Log-Normal    FALSE #> 6854   429 0.7253120 0.138989939  fv Log-Normal   Cox, Log-Normal    FALSE #> 6870   430 0.8015608 0.159246665  fv Log-Normal   Cox, Log-Normal    FALSE #> 6886   431 0.6839649 0.163805863  fv Log-Normal   Cox, Log-Normal    FALSE #> 6902   432 0.8651093 0.182008216  fv Log-Normal   Cox, Log-Normal    FALSE #> 6918   433 0.5920234 0.102567571  fv Log-Normal   Cox, Log-Normal    FALSE #> 6934   434 0.5880071 0.117101961  fv Log-Normal   Cox, Log-Normal    FALSE #> 6950   435 0.4973641 0.107090021  fv Log-Normal   Cox, Log-Normal    FALSE #> 6966   436 0.7631187 0.131617867  fv Log-Normal   Cox, Log-Normal    FALSE #> 6982   437 0.5823778 0.125462900  fv Log-Normal   Cox, Log-Normal    FALSE #> 6998   438 0.8514556 0.152749346  fv Log-Normal   Cox, Log-Normal    FALSE #> 7014   439 0.5976061 0.142466128  fv Log-Normal   Cox, Log-Normal    FALSE #> 7030   440 0.4167886 0.097617508  fv Log-Normal   Cox, Log-Normal     TRUE #> 7046   441 0.5600775 0.113085806  fv Log-Normal   Cox, Log-Normal    FALSE #> 7062   442 0.7506161 0.147798952  fv Log-Normal   Cox, Log-Normal    FALSE #> 7078   443 0.8033583 0.166071013  fv Log-Normal   Cox, Log-Normal    FALSE #> 7094   444 0.8324845 0.192734911  fv Log-Normal   Cox, Log-Normal    FALSE #> 7110   445 0.9003486 0.176256265  fv Log-Normal   Cox, Log-Normal    FALSE #> 7126   446 0.6375473 0.120152949  fv Log-Normal   Cox, Log-Normal    FALSE #> 7142   447 0.8891201 0.168609893  fv Log-Normal   Cox, Log-Normal    FALSE #> 7158   448 0.9157472 0.197688993  fv Log-Normal   Cox, Log-Normal    FALSE #> 7174   449 0.9081860 0.189349612  fv Log-Normal   Cox, Log-Normal    FALSE #> 7190   450 0.7032306 0.140992126  fv Log-Normal   Cox, Log-Normal    FALSE #> 7206   451 0.7939868 0.149065953  fv Log-Normal   Cox, Log-Normal    FALSE #> 7222   452 0.7822568 0.149666090  fv Log-Normal   Cox, Log-Normal    FALSE #> 7238   453 0.6987296 0.135190518  fv Log-Normal   Cox, Log-Normal    FALSE #> 7254   454 0.6802980 0.149217852  fv Log-Normal   Cox, Log-Normal    FALSE #> 7270   455 0.6300706 0.117145542  fv Log-Normal   Cox, Log-Normal    FALSE #> 7286   456 0.4853340 0.098943448  fv Log-Normal   Cox, Log-Normal    FALSE #> 7302   457 0.9159317 0.166991448  fv Log-Normal   Cox, Log-Normal    FALSE #> 7318   458 0.7926127 0.218179833  fv Log-Normal   Cox, Log-Normal    FALSE #> 7334   459 0.9673546 0.239194160  fv Log-Normal   Cox, Log-Normal     TRUE #> 7350   460 0.6824635 0.114496923  fv Log-Normal   Cox, Log-Normal    FALSE #> 7366   461 0.7838993 0.123060287  fv Log-Normal   Cox, Log-Normal    FALSE #> 7382   462 0.7263722 0.136940630  fv Log-Normal   Cox, Log-Normal    FALSE #> 7398   463 0.8725465 0.208727400  fv Log-Normal   Cox, Log-Normal    FALSE #> 7414   464 0.8133746 0.125786465  fv Log-Normal   Cox, Log-Normal    FALSE #> 7430   465 0.8180210 0.162596932  fv Log-Normal   Cox, Log-Normal    FALSE #> 7446   466 0.8447400 0.174373325  fv Log-Normal   Cox, Log-Normal    FALSE #> 7462   467 0.7417616 0.156331232  fv Log-Normal   Cox, Log-Normal    FALSE #> 7478   468 0.9181124 0.152344493  fv Log-Normal   Cox, Log-Normal    FALSE #> 7494   469 0.8086114 0.162584399  fv Log-Normal   Cox, Log-Normal    FALSE #> 7510   470 0.7530716 0.158528182  fv Log-Normal   Cox, Log-Normal    FALSE #> 7526   471 0.6314900 0.146336756  fv Log-Normal   Cox, Log-Normal    FALSE #> 7542   472 0.8683746 0.156186168  fv Log-Normal   Cox, Log-Normal    FALSE #> 7558   473 0.6937239 0.141938343  fv Log-Normal   Cox, Log-Normal    FALSE #> 7574   474 1.0218309 0.201167398  fv Log-Normal   Cox, Log-Normal    FALSE #> 7590   475 0.6337743 0.116592408  fv Log-Normal   Cox, Log-Normal    FALSE #> 7606   476 0.4770815 0.107961700  fv Log-Normal   Cox, Log-Normal    FALSE #> 7622   477 0.5086332 0.109130539  fv Log-Normal   Cox, Log-Normal    FALSE #> 7638   478 0.8075402 0.117965092  fv Log-Normal   Cox, Log-Normal    FALSE #> 7654   479 0.7389806 0.136893016  fv Log-Normal   Cox, Log-Normal    FALSE #> 7670   480 1.0175151 0.199915585  fv Log-Normal   Cox, Log-Normal    FALSE #> 7686   481 1.0192289 0.206087507  fv Log-Normal   Cox, Log-Normal    FALSE #> 7702   482 0.7832508 0.159491148  fv Log-Normal   Cox, Log-Normal    FALSE #> 7718   483 0.9418885 0.220672055  fv Log-Normal   Cox, Log-Normal     TRUE #> 7734   484 0.8962617 0.202093121  fv Log-Normal   Cox, Log-Normal    FALSE #> 7750   485 0.5958992 0.105063175  fv Log-Normal   Cox, Log-Normal    FALSE #> 7766   486 0.4667542 0.102867880  fv Log-Normal   Cox, Log-Normal    FALSE #> 7782   487 0.8900147 0.175007983  fv Log-Normal   Cox, Log-Normal    FALSE #> 7798   488 0.4449524 0.087682549  fv Log-Normal   Cox, Log-Normal    FALSE #> 7814   489 0.8004214 0.186144327  fv Log-Normal   Cox, Log-Normal    FALSE #> 7830   490 0.7127792 0.119173213  fv Log-Normal   Cox, Log-Normal    FALSE #> 7846   491 0.6889070 0.133673254  fv Log-Normal   Cox, Log-Normal    FALSE #> 7862   492 0.5582058 0.086242399  fv Log-Normal   Cox, Log-Normal    FALSE #> 7878   493 1.0663941 0.245806620  fv Log-Normal   Cox, Log-Normal     TRUE #> 7894   494 0.6613066 0.106604021  fv Log-Normal   Cox, Log-Normal    FALSE #> 7910   495 0.8228011 0.118045197  fv Log-Normal   Cox, Log-Normal    FALSE #> 7926   496 1.0887179 0.237339281  fv Log-Normal   Cox, Log-Normal     TRUE #> 7942   497 0.5916038 0.114587057  fv Log-Normal   Cox, Log-Normal    FALSE #> 7958   498 0.6348066 0.135633761  fv Log-Normal   Cox, Log-Normal    FALSE #> 7974   499 0.8889109 0.216181001  fv Log-Normal   Cox, Log-Normal    FALSE #> 7990   500 0.6773264 0.138954096  fv Log-Normal   Cox, Log-Normal    FALSE #> 8006   501 1.3435254 0.291530812  fv Log-Normal   Cox, Log-Normal     TRUE #> 8022   502 0.7736005 0.146718156  fv Log-Normal   Cox, Log-Normal    FALSE #> 8038   503 0.7460948 0.134956945  fv Log-Normal   Cox, Log-Normal    FALSE #> 8054   504 0.8756279 0.159497799  fv Log-Normal   Cox, Log-Normal    FALSE #> 8070   505 0.7539893 0.111108625  fv Log-Normal   Cox, Log-Normal    FALSE #> 8086   506 1.0221922 0.240938697  fv Log-Normal   Cox, Log-Normal     TRUE #> 8102   507 0.7310864 0.114690626  fv Log-Normal   Cox, Log-Normal    FALSE #> 8118   508 0.5378310 0.123741319  fv Log-Normal   Cox, Log-Normal    FALSE #> 8134   509 0.6777937 0.130389895  fv Log-Normal   Cox, Log-Normal    FALSE #> 8150   510 0.6842877 0.138741429  fv Log-Normal   Cox, Log-Normal    FALSE #> 8166   511 0.4603930 0.088394301  fv Log-Normal   Cox, Log-Normal    FALSE #> 8182   512 0.7229525 0.147506273  fv Log-Normal   Cox, Log-Normal    FALSE #> 8198   513 0.8035298 0.149275045  fv Log-Normal   Cox, Log-Normal    FALSE #> 8214   514 0.7179322 0.136809080  fv Log-Normal   Cox, Log-Normal    FALSE #> 8230   515 0.5586526 0.122315382  fv Log-Normal   Cox, Log-Normal    FALSE #> 8246   516 0.7377219 0.143754572  fv Log-Normal   Cox, Log-Normal    FALSE #> 8262   517 0.3667741 0.085169579  fv Log-Normal   Cox, Log-Normal     TRUE #> 8278   518 0.7435838 0.138029022  fv Log-Normal   Cox, Log-Normal    FALSE #> 8294   519 0.7674745 0.150261965  fv Log-Normal   Cox, Log-Normal    FALSE #> 8310   520 0.8003345 0.122407092  fv Log-Normal   Cox, Log-Normal    FALSE #> 8326   521 0.7988626 0.169064785  fv Log-Normal   Cox, Log-Normal    FALSE #> 8342   522 0.5375144 0.095228819  fv Log-Normal   Cox, Log-Normal    FALSE #> 8358   523 0.7667009 0.131558815  fv Log-Normal   Cox, Log-Normal    FALSE #> 8374   524 0.5269024 0.120077784  fv Log-Normal   Cox, Log-Normal    FALSE #> 8390   525 0.7031804 0.154586399  fv Log-Normal   Cox, Log-Normal    FALSE #> 8406   526 0.6061274 0.117091908  fv Log-Normal   Cox, Log-Normal    FALSE #> 8422   527 0.7137822 0.163596077  fv Log-Normal   Cox, Log-Normal    FALSE #> 8438   528 0.9252247 0.189829300  fv Log-Normal   Cox, Log-Normal    FALSE #> 8454   529 0.9342341 0.181406052  fv Log-Normal   Cox, Log-Normal    FALSE #> 8470   530 0.4498170 0.111087235  fv Log-Normal   Cox, Log-Normal    FALSE #> 8486   531 0.9979562 0.213629379  fv Log-Normal   Cox, Log-Normal    FALSE #> 8502   532 0.7223377 0.116231722  fv Log-Normal   Cox, Log-Normal    FALSE #> 8518   533 0.6906718 0.122960600  fv Log-Normal   Cox, Log-Normal    FALSE #> 8534   534 0.7416424 0.148941672  fv Log-Normal   Cox, Log-Normal    FALSE #> 8550   535 0.8626834 0.157323432  fv Log-Normal   Cox, Log-Normal    FALSE #> 8566   536 0.5963041 0.116089213  fv Log-Normal   Cox, Log-Normal    FALSE #> 8582   537 1.2345153 0.237582349  fv Log-Normal   Cox, Log-Normal     TRUE #> 8598   538 0.5063558 0.092401072  fv Log-Normal   Cox, Log-Normal    FALSE #> 8614   539 0.6862567 0.149536685  fv Log-Normal   Cox, Log-Normal    FALSE #> 8630   540 0.6141186 0.114391863  fv Log-Normal   Cox, Log-Normal    FALSE #> 8646   541 0.8968782 0.167673684  fv Log-Normal   Cox, Log-Normal    FALSE #> 8662   542 0.8198767 0.169342183  fv Log-Normal   Cox, Log-Normal    FALSE #> 8678   543 0.7575504 0.148707340  fv Log-Normal   Cox, Log-Normal    FALSE #> 8694   544 0.7617908 0.155859277  fv Log-Normal   Cox, Log-Normal    FALSE #> 8710   545 0.5717824 0.084305835  fv Log-Normal   Cox, Log-Normal    FALSE #> 8726   546 0.9040874 0.167410002  fv Log-Normal   Cox, Log-Normal    FALSE #> 8742   547 0.6870910 0.129415648  fv Log-Normal   Cox, Log-Normal    FALSE #> 8758   548 0.5381865 0.117060922  fv Log-Normal   Cox, Log-Normal    FALSE #> 8774   549 0.8835431 0.179113769  fv Log-Normal   Cox, Log-Normal    FALSE #> 8790   550 0.5208702 0.124333872  fv Log-Normal   Cox, Log-Normal    FALSE #> 8806   551 0.7964585 0.156422129  fv Log-Normal   Cox, Log-Normal    FALSE #> 8822   552 0.7041652 0.128276679  fv Log-Normal   Cox, Log-Normal    FALSE #> 8838   553 0.8459051 0.122339846  fv Log-Normal   Cox, Log-Normal    FALSE #> 8854   554 0.8977503 0.179088453  fv Log-Normal   Cox, Log-Normal    FALSE #> 8870   555 0.8326376 0.128746242  fv Log-Normal   Cox, Log-Normal    FALSE #> 8886   556 0.8753515 0.143451520  fv Log-Normal   Cox, Log-Normal    FALSE #> 8902   557 0.6984218 0.127912102  fv Log-Normal   Cox, Log-Normal    FALSE #> 8918   558 0.6669430 0.112161043  fv Log-Normal   Cox, Log-Normal    FALSE #> 8934   559 0.6132347 0.122896494  fv Log-Normal   Cox, Log-Normal    FALSE #> 8950   560 0.7760753 0.145292156  fv Log-Normal   Cox, Log-Normal    FALSE #> 8966   561 1.2406263 0.221751865  fv Log-Normal   Cox, Log-Normal     TRUE #> 8982   562 0.8951923 0.192853014  fv Log-Normal   Cox, Log-Normal    FALSE #> 8998   563 0.7936453 0.148256364  fv Log-Normal   Cox, Log-Normal    FALSE #> 9014   564 0.6496611 0.154999773  fv Log-Normal   Cox, Log-Normal    FALSE #> 9030   565 0.5558608 0.112968507  fv Log-Normal   Cox, Log-Normal    FALSE #> 9046   566 0.7784225 0.197678997  fv Log-Normal   Cox, Log-Normal    FALSE #> 9062   567 0.7390722 0.134151819  fv Log-Normal   Cox, Log-Normal    FALSE #> 9078   568 0.5370427 0.106409861  fv Log-Normal   Cox, Log-Normal    FALSE #> 9094   569 0.8446977 0.151362680  fv Log-Normal   Cox, Log-Normal    FALSE #> 9110   570 0.5783874 0.154235730  fv Log-Normal   Cox, Log-Normal    FALSE #> 9126   571 0.6980819 0.132611887  fv Log-Normal   Cox, Log-Normal    FALSE #> 9142   572 0.6078955 0.113509666  fv Log-Normal   Cox, Log-Normal    FALSE #> 9158   573 0.6531702 0.123193776  fv Log-Normal   Cox, Log-Normal    FALSE #> 9174   574 0.7369219 0.133697888  fv Log-Normal   Cox, Log-Normal    FALSE #> 9190   575 0.6652456 0.174809549  fv Log-Normal   Cox, Log-Normal    FALSE #> 9206   576 0.7042127 0.184240750  fv Log-Normal   Cox, Log-Normal    FALSE #> 9222   577 0.9058959 0.206369728  fv Log-Normal   Cox, Log-Normal    FALSE #> 9238   578 0.5871046 0.099243005  fv Log-Normal   Cox, Log-Normal    FALSE #> 9254   579 0.6010841 0.132716062  fv Log-Normal   Cox, Log-Normal    FALSE #> 9270   580 0.4971421 0.107766896  fv Log-Normal   Cox, Log-Normal    FALSE #> 9286   581 0.7923715 0.151082100  fv Log-Normal   Cox, Log-Normal    FALSE #> 9302   582 0.7728312 0.153502508  fv Log-Normal   Cox, Log-Normal    FALSE #> 9318   583 1.0323624 0.163822527  fv Log-Normal   Cox, Log-Normal    FALSE #> 9334   584 0.5414420 0.108025677  fv Log-Normal   Cox, Log-Normal    FALSE #> 9350   585 0.7190622 0.114529054  fv Log-Normal   Cox, Log-Normal    FALSE #> 9366   586 0.7455106 0.124365353  fv Log-Normal   Cox, Log-Normal    FALSE #> 9382   587 0.9302355 0.214573938  fv Log-Normal   Cox, Log-Normal    FALSE #> 9398   588 0.5806374 0.109803503  fv Log-Normal   Cox, Log-Normal    FALSE #> 9414   589 0.6039216 0.119344261  fv Log-Normal   Cox, Log-Normal    FALSE #> 9430   590 0.8219766 0.176507665  fv Log-Normal   Cox, Log-Normal    FALSE #> 9446   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TRUE #> 9654   604 0.7547442 0.131357593  fv Log-Normal   Cox, Log-Normal    FALSE #> 9670   605 1.2270888 0.254788035  fv Log-Normal   Cox, Log-Normal     TRUE #> 9686   606 0.6744288 0.140766466  fv Log-Normal   Cox, Log-Normal    FALSE #> 9702   607 0.6089607 0.135399445  fv Log-Normal   Cox, Log-Normal    FALSE #> 9718   608 0.4385750 0.078430090  fv Log-Normal   Cox, Log-Normal    FALSE #> 9734   609 0.8290773 0.146094145  fv Log-Normal   Cox, Log-Normal    FALSE #> 9750   610 0.6340374 0.128702321  fv Log-Normal   Cox, Log-Normal    FALSE #> 9766   611 0.8007515 0.201200477  fv Log-Normal   Cox, Log-Normal    FALSE #> 9782   612 0.5875066 0.117282979  fv Log-Normal   Cox, Log-Normal    FALSE #> 9798   613 0.8175702 0.130135551  fv Log-Normal   Cox, Log-Normal    FALSE #> 9814   614 0.7773840 0.134334791  fv Log-Normal   Cox, Log-Normal    FALSE #> 9830   615 0.8689451 0.145406422  fv Log-Normal   Cox, Log-Normal    FALSE #> 9846   616 0.7820989 0.151533700  fv Log-Normal   Cox, Log-Normal    FALSE #> 9862   617 0.7837638 0.136211673  fv Log-Normal   Cox, Log-Normal    FALSE #> 9878   618 0.6788178 0.142475685  fv Log-Normal   Cox, Log-Normal    FALSE #> 9894   619 0.8183659 0.154788400  fv Log-Normal   Cox, Log-Normal    FALSE #> 9910   620 0.8171046 0.180268515  fv Log-Normal   Cox, Log-Normal    FALSE #> 9926   621 0.5639292 0.107073034  fv Log-Normal   Cox, Log-Normal    FALSE #> 9942   622 0.6314516 0.125356048  fv Log-Normal   Cox, Log-Normal    FALSE #> 9958   623 0.8785102 0.184572000  fv Log-Normal   Cox, Log-Normal    FALSE #> 9974   624 0.5825642 0.140201227  fv Log-Normal   Cox, Log-Normal    FALSE #> 9990   625 0.7614824 0.157638018  fv Log-Normal   Cox, Log-Normal    FALSE #> 10006  626 0.6383478 0.128329406  fv Log-Normal   Cox, Log-Normal    FALSE #> 10022  627 0.6242897 0.114015728  fv Log-Normal   Cox, Log-Normal    FALSE #> 10038  628 0.6642862 0.172314284  fv Log-Normal   Cox, Log-Normal    FALSE #> 10054  629 0.6375845 0.122839399  fv Log-Normal   Cox, Log-Normal    FALSE #> 10070  630 0.8324783 0.130755118  fv Log-Normal   Cox, Log-Normal    FALSE #> 10086  631 0.6702640 0.108227424  fv Log-Normal   Cox, Log-Normal    FALSE #> 10102  632 0.7767630 0.177729336  fv Log-Normal   Cox, Log-Normal    FALSE #> 10118  633 0.4914987 0.093416187  fv Log-Normal   Cox, Log-Normal    FALSE #> 10134  634 0.6746632 0.175170229  fv Log-Normal   Cox, Log-Normal    FALSE #> 10150  635 0.9036130 0.202423279  fv Log-Normal   Cox, Log-Normal    FALSE #> 10166  636 0.4183601 0.083783931  fv Log-Normal   Cox, Log-Normal     TRUE #> 10182  637 0.8719040 0.157295311  fv Log-Normal   Cox, Log-Normal    FALSE #> 10198  638 0.6832427 0.161228334  fv Log-Normal   Cox, Log-Normal    FALSE #> 10214  639 0.4325527 0.097111445  fv Log-Normal   Cox, Log-Normal    FALSE #> 10230  640 0.7229937 0.154618672  fv Log-Normal   Cox, Log-Normal    FALSE #> 10246  641 0.5857330 0.122395333  fv Log-Normal   Cox, Log-Normal    FALSE #> 10262  642 0.6360379 0.117279907  fv Log-Normal   Cox, Log-Normal    FALSE #> 10278  643 0.6645645 0.116264569  fv Log-Normal   Cox, Log-Normal    FALSE #> 10294  644 0.6190932 0.107311160  fv Log-Normal   Cox, Log-Normal    FALSE #> 10310  645 0.7533956 0.134819768  fv Log-Normal   Cox, Log-Normal    FALSE #> 10326  646 0.8375410 0.134833528  fv Log-Normal   Cox, Log-Normal    FALSE #> 10342  647 0.6563751 0.098262571  fv Log-Normal   Cox, Log-Normal    FALSE #> 10358  648 1.0706016 0.216998183  fv Log-Normal   Cox, Log-Normal     TRUE #> 10374  649 0.6314217 0.139306982  fv Log-Normal   Cox, Log-Normal    FALSE #> 10390  650 0.8102765 0.157581814  fv Log-Normal   Cox, Log-Normal    FALSE #> 10406  651 0.7925761 0.156304582  fv Log-Normal   Cox, Log-Normal    FALSE #> 10422  652 1.2665462 0.209947407  fv Log-Normal   Cox, Log-Normal     TRUE #> 10438  653 0.5434712 0.103592893  fv Log-Normal   Cox, Log-Normal    FALSE #> 10454  654 0.5856523 0.164414521  fv Log-Normal   Cox, Log-Normal    FALSE #> 10470  655 0.7001387 0.134566498  fv Log-Normal   Cox, Log-Normal    FALSE #> 10486  656 0.7099659 0.150674082  fv Log-Normal   Cox, Log-Normal    FALSE #> 10502  657 0.5343694 0.110794639  fv Log-Normal   Cox, Log-Normal    FALSE #> 10518  658 1.1477870 0.241951186  fv Log-Normal   Cox, Log-Normal     TRUE #> 10534  659 1.0433141 0.268908122  fv Log-Normal   Cox, Log-Normal     TRUE #> 10550  660 0.8574517 0.160474979  fv Log-Normal   Cox, Log-Normal    FALSE #> 10566  661 0.5656016 0.115462157  fv Log-Normal   Cox, Log-Normal    FALSE #> 10582  662 0.5913374 0.112065321  fv Log-Normal   Cox, Log-Normal    FALSE #> 10598  663 0.7014024 0.115616243  fv Log-Normal   Cox, Log-Normal    FALSE #> 10614  664 0.7024798 0.117240169  fv Log-Normal   Cox, Log-Normal    FALSE #> 10630  665 0.8771094 0.169469126  fv Log-Normal   Cox, Log-Normal    FALSE #> 10646  666 1.1630685 0.201255082  fv Log-Normal   Cox, Log-Normal     TRUE #> 10662  667 0.6484067 0.117314626  fv Log-Normal   Cox, Log-Normal    FALSE #> 10678  668 0.6308263 0.131132730  fv Log-Normal   Cox, Log-Normal    FALSE #> 10694  669 0.9142532 0.187111491  fv Log-Normal   Cox, Log-Normal    FALSE #> 10710  670 0.6192754 0.147049588  fv Log-Normal   Cox, Log-Normal    FALSE #> 10726  671 0.7969559 0.146088966  fv Log-Normal   Cox, Log-Normal    FALSE #> 10742  672 0.9573071 0.193663466  fv Log-Normal   Cox, Log-Normal    FALSE #> 10758  673 0.6501472 0.117106072  fv Log-Normal   Cox, Log-Normal    FALSE #> 10774  674 0.8224194 0.160584426  fv Log-Normal   Cox, Log-Normal    FALSE #> 10790  675 0.6495018 0.188477878  fv Log-Normal   Cox, Log-Normal    FALSE #> 10806  676 0.8711933 0.164562370  fv Log-Normal   Cox, Log-Normal    FALSE #> 10822  677 0.6800675 0.117054835  fv Log-Normal   Cox, Log-Normal    FALSE #> 10838  678 0.5713441 0.107816673  fv Log-Normal   Cox, Log-Normal    FALSE #> 10854  679 0.6112346 0.133477913  fv Log-Normal   Cox, Log-Normal    FALSE #> 10870  680 0.7496116 0.136062520  fv Log-Normal   Cox, Log-Normal    FALSE #> 10886  681 1.0147299 0.200149345  fv Log-Normal   Cox, Log-Normal    FALSE #> 10902  682 0.6897060 0.140083930  fv Log-Normal   Cox, Log-Normal    FALSE #> 10918  683 0.8143957 0.185740341  fv Log-Normal   Cox, Log-Normal    FALSE #> 10934  684 1.0560264 0.219153739  fv Log-Normal   Cox, Log-Normal     TRUE #> 10950  685 0.6654488 0.115993957  fv Log-Normal   Cox, Log-Normal    FALSE #> 10966  686 0.8930725 0.173037645  fv Log-Normal   Cox, Log-Normal    FALSE #> 10982  687 0.5843867 0.083530258  fv Log-Normal   Cox, Log-Normal    FALSE #> 10998  688 0.6143148 0.131684418  fv Log-Normal   Cox, Log-Normal    FALSE #> 11014  689 0.6573937 0.127658438  fv Log-Normal   Cox, Log-Normal    FALSE #> 11030  690 0.8718297 0.179672033  fv Log-Normal   Cox, Log-Normal    FALSE #> 11046  691 0.7069982 0.288250138  fv Log-Normal   Cox, Log-Normal     TRUE #> 11062  692 0.6778167 0.148233924  fv Log-Normal   Cox, Log-Normal    FALSE #> 11078  693 0.5430129 0.135999915  fv Log-Normal   Cox, Log-Normal    FALSE #> 11094  694 0.7297001 0.140998825  fv Log-Normal   Cox, Log-Normal    FALSE #> 11110  695 0.6424014 0.105666649  fv Log-Normal   Cox, Log-Normal    FALSE #> 11126  696 0.7792619 0.119330409  fv Log-Normal   Cox, Log-Normal    FALSE #> 11142  697 0.8896887 0.198744409  fv Log-Normal   Cox, Log-Normal    FALSE #> 11158  698 0.4671205 0.106620840  fv Log-Normal   Cox, Log-Normal    FALSE #> 11174  699 0.7181789 0.160616129  fv Log-Normal   Cox, Log-Normal    FALSE #> 11190  700 0.5477280 0.108273968  fv Log-Normal   Cox, Log-Normal    FALSE #> 11206  701 0.8589172 0.180922288  fv Log-Normal   Cox, Log-Normal    FALSE #> 11222  702 0.8686646 0.196511490  fv Log-Normal   Cox, Log-Normal    FALSE #> 11238  703 0.7410847 0.159178375  fv Log-Normal   Cox, Log-Normal    FALSE #> 11254  704 0.6408199 0.125427367  fv Log-Normal   Cox, Log-Normal    FALSE #> 11270  705 0.7057959 0.146779535  fv Log-Normal   Cox, Log-Normal    FALSE #> 11286  706 0.7643511 0.148323471  fv Log-Normal   Cox, Log-Normal    FALSE #> 11302  707 0.9700524 0.160443888  fv Log-Normal   Cox, Log-Normal    FALSE #> 11318  708 0.9265933 0.149354147  fv Log-Normal   Cox, Log-Normal    FALSE #> 11334  709 0.6749683 0.172123684  fv Log-Normal   Cox, Log-Normal    FALSE #> 11350  710 0.5117771 0.091200765  fv Log-Normal   Cox, Log-Normal    FALSE #> 11366  711 0.6439905 0.167360644  fv Log-Normal   Cox, Log-Normal    FALSE #> 11382  712 0.6767084 0.108127089  fv Log-Normal   Cox, Log-Normal    FALSE #> 11398  713 1.0129778 0.274729370  fv Log-Normal   Cox, Log-Normal     TRUE #> 11414  714 0.8089406 0.174250652  fv Log-Normal   Cox, Log-Normal    FALSE #> 11430  715 0.8597580 0.165342420  fv Log-Normal   Cox, Log-Normal    FALSE #> 11446  716 0.7624100 0.134839371  fv Log-Normal   Cox, Log-Normal    FALSE #> 11462  717 0.8249533 0.167079927  fv Log-Normal   Cox, Log-Normal    FALSE #> 11478  718 0.8576847 0.162024555  fv Log-Normal   Cox, Log-Normal    FALSE #> 11494  719 0.9824621 0.237930201  fv Log-Normal   Cox, Log-Normal     TRUE #> 11510  720 0.7869505 0.125298604  fv Log-Normal   Cox, Log-Normal    FALSE #> 11526  721 0.6114592 0.138309040  fv Log-Normal   Cox, Log-Normal    FALSE #> 11542  722 0.8040976 0.146430602  fv Log-Normal   Cox, Log-Normal    FALSE #> 11558  723 0.6317170 0.117974648  fv Log-Normal   Cox, Log-Normal    FALSE #> 11574  724 0.7495479 0.173784769  fv Log-Normal   Cox, Log-Normal    FALSE #> 11590  725 0.7586515 0.141571771  fv Log-Normal   Cox, Log-Normal    FALSE #> 11606  726 0.6758165 0.142506550  fv Log-Normal   Cox, Log-Normal    FALSE #> 11622  727 0.7878067 0.116750587  fv Log-Normal   Cox, Log-Normal    FALSE #> 11638  728 1.0293747 0.182526831  fv Log-Normal   Cox, Log-Normal    FALSE #> 11654  729 0.7858074 0.152231699  fv Log-Normal   Cox, Log-Normal    FALSE #> 11670  730 0.8523065 0.177705684  fv Log-Normal   Cox, Log-Normal    FALSE #> 11686  731 0.5676312 0.154710463  fv Log-Normal   Cox, Log-Normal    FALSE #> 11702  732 0.4997332 0.136812917  fv Log-Normal   Cox, Log-Normal    FALSE #> 11718  733 0.9890456 0.207143362  fv Log-Normal   Cox, Log-Normal    FALSE #> 11734  734 0.8982896 0.180036540  fv Log-Normal   Cox, Log-Normal    FALSE #> 11750  735 1.0022962 0.154539597  fv Log-Normal   Cox, Log-Normal    FALSE #> 11766  736 0.8541157 0.183590550  fv Log-Normal   Cox, Log-Normal    FALSE #> 11782  737 0.7416449 0.113810433  fv Log-Normal   Cox, Log-Normal    FALSE #> 11798  738 0.5320803 0.105301645  fv Log-Normal   Cox, Log-Normal    FALSE #> 11814  739 0.6012800 0.128194651  fv Log-Normal   Cox, Log-Normal    FALSE #> 11830  740 0.8138247 0.152345638  fv Log-Normal   Cox, Log-Normal    FALSE #> 11846  741 1.0145235 0.181258293  fv Log-Normal   Cox, Log-Normal    FALSE #> 11862  742 0.6611129 0.120578274  fv Log-Normal   Cox, Log-Normal    FALSE #> 11878  743 0.7645426 0.114386181  fv Log-Normal   Cox, Log-Normal    FALSE #> 11894  744 0.7905449 0.201901154  fv Log-Normal   Cox, Log-Normal    FALSE #> 11910  745 0.7800280 0.154382410  fv Log-Normal   Cox, Log-Normal    FALSE #> 11926  746 0.5983568 0.171488391  fv Log-Normal   Cox, Log-Normal    FALSE #> 11942  747 0.6553279 0.126681997  fv Log-Normal   Cox, Log-Normal    FALSE #> 11958  748 0.8596291 0.190755108  fv Log-Normal   Cox, Log-Normal    FALSE #> 11974  749 0.9163101 0.186289412  fv Log-Normal   Cox, Log-Normal    FALSE #> 11990  750 0.7524690 0.142892311  fv Log-Normal   Cox, Log-Normal    FALSE #> 12006  751 0.8953943 0.163271302  fv Log-Normal   Cox, Log-Normal    FALSE #> 12022  752 0.6902168 0.167689577  fv Log-Normal   Cox, Log-Normal    FALSE #> 12038  753 0.4443201 0.114075408  fv Log-Normal   Cox, Log-Normal    FALSE #> 12054  754 0.7877421 0.145197625  fv Log-Normal   Cox, Log-Normal    FALSE #> 12070  755 0.6689381 0.126865509  fv Log-Normal   Cox, Log-Normal    FALSE #> 12086  756 0.3785131 0.082873155  fv Log-Normal   Cox, Log-Normal     TRUE #> 12102  757 0.6779404 0.130786163  fv Log-Normal   Cox, Log-Normal    FALSE #> 12118  758 0.7746253 0.163500811  fv Log-Normal   Cox, Log-Normal    FALSE #> 12134  759 0.6781740 0.122448396  fv Log-Normal   Cox, Log-Normal    FALSE #> 12150  760 0.8695697 0.184253732  fv Log-Normal   Cox, Log-Normal    FALSE #> 12166  761 0.6318074 0.126609451  fv Log-Normal   Cox, Log-Normal    FALSE #> 12182  762 0.7612468 0.155081467  fv Log-Normal   Cox, Log-Normal    FALSE #> 12198  763 0.5637018 0.111824322  fv Log-Normal   Cox, Log-Normal    FALSE #> 12214  764 0.6553212 0.114285817  fv Log-Normal   Cox, Log-Normal    FALSE #> 12230  765 0.9462467 0.163155624  fv Log-Normal   Cox, Log-Normal    FALSE #> 12246  766 0.6537097 0.106200814  fv Log-Normal   Cox, Log-Normal    FALSE #> 12262  767 0.8747035 0.162635548  fv Log-Normal   Cox, Log-Normal    FALSE #> 12278  768 0.5877160 0.115237900  fv Log-Normal   Cox, Log-Normal    FALSE #> 12294  769 1.0167998 0.184375254  fv Log-Normal   Cox, Log-Normal    FALSE #> 12310  770 0.6130030 0.145352310  fv Log-Normal   Cox, Log-Normal    FALSE #> 12326  771 0.5745927 0.203706310  fv Log-Normal   Cox, Log-Normal    FALSE #> 12342  772 0.5853131 0.110646970  fv Log-Normal   Cox, Log-Normal    FALSE #> 12358  773 0.5687756 0.134007492  fv Log-Normal   Cox, Log-Normal    FALSE #> 12374  774 0.7226932 0.149336319  fv Log-Normal   Cox, Log-Normal    FALSE #> 12390  775 0.6797903 0.122447722  fv Log-Normal   Cox, Log-Normal    FALSE #> 12406  776 0.6853206 0.109785022  fv Log-Normal   Cox, Log-Normal    FALSE #> 12422  777 0.6212015 0.129042772  fv Log-Normal   Cox, Log-Normal    FALSE #> 12438  778 0.7164382 0.234844057  fv Log-Normal   Cox, Log-Normal     TRUE #> 12454  779 0.6742564 0.143043418  fv Log-Normal   Cox, Log-Normal    FALSE #> 12470  780 0.6170242 0.105097932  fv Log-Normal   Cox, Log-Normal    FALSE #> 12486  781 0.7318112 0.142735071  fv Log-Normal   Cox, Log-Normal    FALSE #> 12502  782 0.6610061 0.135449920  fv Log-Normal   Cox, Log-Normal    FALSE #> 12518  783 0.6278950 0.104305213  fv Log-Normal   Cox, Log-Normal    FALSE #> 12534  784 0.8094113 0.169945752  fv Log-Normal   Cox, Log-Normal    FALSE #> 12550  785 0.4946073 0.092835822  fv Log-Normal   Cox, Log-Normal    FALSE #> 12566  786 0.6267274 0.128041392  fv Log-Normal   Cox, Log-Normal    FALSE #> 12582  787 1.0178487 0.161660428  fv Log-Normal   Cox, Log-Normal    FALSE #> 12598  788 0.7008192 0.129005706  fv Log-Normal   Cox, Log-Normal    FALSE #> 12614  789 0.9344409 0.209106923  fv Log-Normal   Cox, Log-Normal    FALSE #> 12630  790 0.7454167 0.158623779  fv Log-Normal   Cox, Log-Normal    FALSE #> 12646  791 0.4161568 0.067941163  fv Log-Normal   Cox, Log-Normal     TRUE #> 12662  792 0.5456873 0.127448237  fv Log-Normal   Cox, Log-Normal    FALSE #> 12678  793 0.8498802 0.152802063  fv Log-Normal   Cox, Log-Normal    FALSE #> 12694  794 0.6776564 0.170730758  fv Log-Normal   Cox, Log-Normal    FALSE #> 12710  795 0.6364088 0.114399391  fv Log-Normal   Cox, Log-Normal    FALSE #> 12726  796 0.6120280 0.123040994  fv Log-Normal   Cox, Log-Normal    FALSE #> 12742  797 0.6868664 0.174130114  fv Log-Normal   Cox, Log-Normal    FALSE #> 12758  798 0.4111110 0.073952807  fv Log-Normal   Cox, Log-Normal     TRUE #> 12774  799 0.7667146 0.131502219  fv Log-Normal   Cox, Log-Normal    FALSE #> 12790  800 0.7651482 0.172314768  fv Log-Normal   Cox, Log-Normal    FALSE #> 12806  801 0.9872713 0.175396964  fv Log-Normal   Cox, Log-Normal    FALSE #> 12822  802 0.7981148 0.154386226  fv Log-Normal   Cox, Log-Normal    FALSE #> 12838  803 0.6583993 0.114725176  fv Log-Normal   Cox, Log-Normal    FALSE #> 12854  804 0.7555532 0.134524463  fv Log-Normal   Cox, Log-Normal    FALSE #> 12870  805 0.8249342 0.224337487  fv Log-Normal   Cox, Log-Normal     TRUE #> 12886  806 0.7903732 0.194773703  fv Log-Normal   Cox, Log-Normal    FALSE #> 12902  807 0.6441408 0.165412856  fv Log-Normal   Cox, Log-Normal    FALSE #> 12918  808 0.5046575 0.080358900  fv Log-Normal   Cox, Log-Normal    FALSE #> 12934  809 0.6864933 0.146661840  fv Log-Normal   Cox, Log-Normal    FALSE #> 12950  810 0.8124512 0.154133092  fv Log-Normal   Cox, Log-Normal    FALSE #> 12966  811 0.4692017 0.082645886  fv Log-Normal   Cox, Log-Normal    FALSE #> 12982  812 0.7250259 0.147300631  fv Log-Normal   Cox, Log-Normal    FALSE #> 12998  813 0.8814457 0.152466669  fv Log-Normal   Cox, Log-Normal    FALSE #> 13014  814 0.6852626 0.133497265  fv Log-Normal   Cox, Log-Normal    FALSE #> 13030  815 0.5973459 0.152294373  fv Log-Normal   Cox, Log-Normal    FALSE #> 13046  816 0.6997353 0.136317443  fv Log-Normal   Cox, Log-Normal    FALSE #> 13062  817 0.4710155 0.088285645  fv Log-Normal   Cox, Log-Normal    FALSE #> 13078  818 0.6451949 0.153857802  fv Log-Normal   Cox, Log-Normal    FALSE #> 13094  819 0.8337783 0.122400350  fv Log-Normal   Cox, Log-Normal    FALSE #> 13110  820 0.8563875 0.184562604  fv Log-Normal   Cox, Log-Normal    FALSE #> 13126  821 0.5642452 0.099701124  fv Log-Normal   Cox, Log-Normal    FALSE #> 13142  822 0.8848165 0.173698620  fv Log-Normal   Cox, Log-Normal    FALSE #> 13158  823 0.9679673 0.224333994  fv Log-Normal   Cox, Log-Normal     TRUE #> 13174  824 0.9169811 0.190827566  fv Log-Normal   Cox, Log-Normal    FALSE #> 13190  825 0.7620785 0.143634398  fv Log-Normal   Cox, Log-Normal    FALSE #> 13206  826 0.8129126 0.187223856  fv Log-Normal   Cox, Log-Normal    FALSE #> 13222  827 0.8913960 0.200847045  fv Log-Normal   Cox, Log-Normal    FALSE #> 13238  828 0.7526682 0.217873031  fv Log-Normal   Cox, Log-Normal    FALSE #> 13254  829 0.7129035 0.141271513  fv Log-Normal   Cox, Log-Normal    FALSE #> 13270  830 0.8093686 0.161447055  fv Log-Normal   Cox, Log-Normal    FALSE #> 13286  831 0.8728235 0.152899961  fv Log-Normal   Cox, Log-Normal    FALSE #> 13302  832 0.5911143 0.140956737  fv Log-Normal   Cox, Log-Normal    FALSE #> 13318  833 0.8823798 0.182578061  fv Log-Normal   Cox, Log-Normal    FALSE #> 13334  834 0.6489802 0.138432704  fv Log-Normal   Cox, Log-Normal    FALSE #> 13350  835 0.6823934 0.138367545  fv Log-Normal   Cox, Log-Normal    FALSE #> 13366  836 0.7826148 0.163460070  fv Log-Normal   Cox, Log-Normal    FALSE #> 13382  837 0.7736597 0.176327722  fv Log-Normal   Cox, Log-Normal    FALSE #> 13398  838 0.7054494 0.122169599  fv Log-Normal   Cox, Log-Normal    FALSE #> 13414  839 0.5919390 0.130336343  fv Log-Normal   Cox, Log-Normal    FALSE #> 13430  840 0.6180481 0.108543993  fv Log-Normal   Cox, Log-Normal    FALSE #> 13446  841 0.9302992 0.196914198  fv Log-Normal   Cox, Log-Normal    FALSE #> 13462  842 0.5602323 0.109237597  fv Log-Normal   Cox, Log-Normal    FALSE #> 13478  843 0.6748513 0.144994565  fv Log-Normal   Cox, Log-Normal    FALSE #> 13494  844 0.9129811 0.159326671  fv Log-Normal   Cox, Log-Normal    FALSE #> 13510  845 0.9877512 0.201813260  fv Log-Normal   Cox, Log-Normal    FALSE #> 13526  846 0.5533760 0.112530844  fv Log-Normal   Cox, Log-Normal    FALSE #> 13542  847 1.0264997 0.158287594  fv Log-Normal   Cox, Log-Normal    FALSE #> 13558  848 0.8399707 0.148734031  fv Log-Normal   Cox, Log-Normal    FALSE #> 13574  849 0.6201535 0.111310526  fv Log-Normal   Cox, Log-Normal    FALSE #> 13590  850 0.8142559 0.145644218  fv Log-Normal   Cox, Log-Normal    FALSE #> 13606  851 0.7006251 0.122041091  fv Log-Normal   Cox, Log-Normal    FALSE #> 13622  852 0.7511030 0.133087367  fv Log-Normal   Cox, Log-Normal    FALSE #> 13638  853 1.0390655 0.145203301  fv Log-Normal   Cox, Log-Normal    FALSE #> 13654  854 0.7097626 0.174226283  fv Log-Normal   Cox, Log-Normal    FALSE #> 13670  855 0.6546727 0.164479144  fv Log-Normal   Cox, Log-Normal    FALSE #> 13686  856 0.8742938 0.176632638  fv Log-Normal   Cox, Log-Normal    FALSE #> 13702  857 0.8235076 0.201058874  fv Log-Normal   Cox, Log-Normal    FALSE #> 13718  858 1.0655379 0.200597120  fv Log-Normal   Cox, Log-Normal     TRUE #> 13734  859 0.9019343 0.175412623  fv Log-Normal   Cox, Log-Normal    FALSE #> 13750  860 0.6622603 0.126053239  fv Log-Normal   Cox, Log-Normal    FALSE #> 13766  861 0.4665198 0.077897819  fv Log-Normal   Cox, Log-Normal    FALSE #> 13782  862 0.6543993 0.124272472  fv Log-Normal   Cox, Log-Normal    FALSE #> 13798  863 0.6978115 0.134982065  fv Log-Normal   Cox, Log-Normal    FALSE #> 13814  864 0.9283803 0.173095332  fv Log-Normal   Cox, Log-Normal    FALSE #> 13830  865 0.9136195 0.174912207  fv Log-Normal   Cox, Log-Normal    FALSE #> 13846  866 0.7371495 0.158525534  fv Log-Normal   Cox, Log-Normal    FALSE #> 13862  867 0.6008699 0.124295016  fv Log-Normal   Cox, Log-Normal    FALSE #> 13878  868 0.8928902 0.189023552  fv Log-Normal   Cox, Log-Normal    FALSE #> 13894  869 0.5323448 0.094885987  fv Log-Normal   Cox, Log-Normal    FALSE #> 13910  870 0.7740212 0.153614509  fv Log-Normal   Cox, Log-Normal    FALSE #> 13926  871 0.5040690 0.094185702  fv Log-Normal   Cox, Log-Normal    FALSE #> 13942  872 0.4682306 0.082330866  fv Log-Normal   Cox, Log-Normal    FALSE #> 13958  873 0.8744887 0.139709149  fv Log-Normal   Cox, Log-Normal    FALSE #> 13974  874 0.7783567 0.192580753  fv Log-Normal   Cox, Log-Normal    FALSE #> 13990  875 0.6773657 0.139640942  fv Log-Normal   Cox, Log-Normal    FALSE #> 14006  876 0.6165045 0.121485821  fv Log-Normal   Cox, Log-Normal    FALSE #> 14022  877 0.5859028 0.131899842  fv Log-Normal   Cox, Log-Normal    FALSE #> 14038  878 0.6917847 0.157165569  fv Log-Normal   Cox, Log-Normal    FALSE #> 14054  879 0.6977268 0.137740612  fv Log-Normal   Cox, Log-Normal    FALSE #> 14070  880 0.8483322 0.141854241  fv Log-Normal   Cox, Log-Normal    FALSE #> 14086  881 0.5661982 0.102733370  fv Log-Normal   Cox, Log-Normal    FALSE #> 14102  882 0.7169868 0.152447981  fv Log-Normal   Cox, Log-Normal    FALSE #> 14118  883 0.6447592 0.153543953  fv Log-Normal   Cox, Log-Normal    FALSE #> 14134  884 0.5975498 0.128517356  fv Log-Normal   Cox, Log-Normal    FALSE #> 14150  885 0.7782512 0.162836252  fv Log-Normal   Cox, Log-Normal    FALSE #> 14166  886 0.6628296 0.148932066  fv Log-Normal   Cox, Log-Normal    FALSE #> 14182  887 0.3830570 0.087415331  fv Log-Normal   Cox, Log-Normal     TRUE #> 14198  888 0.6791310 0.150167427  fv Log-Normal   Cox, Log-Normal    FALSE #> 14214  889 0.7780627 0.203727025  fv Log-Normal   Cox, Log-Normal    FALSE #> 14230  890 0.7108866 0.125667784  fv Log-Normal   Cox, Log-Normal    FALSE #> 14246  891 0.7540428 0.144451491  fv Log-Normal   Cox, Log-Normal    FALSE #> 14262  892 1.0121293 0.224929443  fv Log-Normal   Cox, Log-Normal     TRUE #> 14278  893 0.4956099 0.115792086  fv Log-Normal   Cox, Log-Normal    FALSE #> 14294  894 0.5889320 0.111970124  fv Log-Normal   Cox, Log-Normal    FALSE #> 14310  895 0.8335347 0.185574046  fv Log-Normal   Cox, Log-Normal    FALSE #> 14326  896 0.6037923 0.156766168  fv Log-Normal   Cox, Log-Normal    FALSE #> 14342  897 0.6843269 0.122402774  fv Log-Normal   Cox, Log-Normal    FALSE #> 14358  898 0.9409321 0.285299319  fv Log-Normal   Cox, Log-Normal     TRUE #> 14374  899 0.9418146 0.342156384  fv Log-Normal   Cox, Log-Normal     TRUE #> 14390  900 0.7374075 0.157498955  fv Log-Normal   Cox, Log-Normal    FALSE #> 14406  901 0.7858528 0.120999175  fv Log-Normal   Cox, Log-Normal    FALSE #> 14422  902 0.8540252 0.162479893  fv Log-Normal   Cox, Log-Normal    FALSE #> 14438  903 0.5849627 0.125627421  fv Log-Normal   Cox, Log-Normal    FALSE #> 14454  904 0.7057806 0.149798576  fv Log-Normal   Cox, Log-Normal    FALSE #> 14470  905 0.7357375 0.126263556  fv Log-Normal   Cox, Log-Normal    FALSE #> 14486  906 0.7226696 0.143793789  fv Log-Normal   Cox, Log-Normal    FALSE #> 14502  907 0.6382255 0.144489887  fv Log-Normal   Cox, Log-Normal    FALSE #> 14518  908 0.5633960 0.116541748  fv Log-Normal   Cox, Log-Normal    FALSE #> 14534  909 0.9533251 0.171236085  fv Log-Normal   Cox, Log-Normal    FALSE #> 14550  910 0.6853516 0.148763485  fv Log-Normal   Cox, Log-Normal    FALSE #> 14566  911 0.6876648 0.117291524  fv Log-Normal   Cox, Log-Normal    FALSE #> 14582  912 0.3920258 0.067947080  fv Log-Normal   Cox, Log-Normal     TRUE #> 14598  913 0.6137430 0.109088353  fv Log-Normal   Cox, Log-Normal    FALSE #> 14614  914 0.8636100 0.164033956  fv Log-Normal   Cox, Log-Normal    FALSE #> 14630  915 0.6906558 0.126734273  fv Log-Normal   Cox, Log-Normal    FALSE #> 14646  916 0.7289457 0.129897014  fv Log-Normal   Cox, Log-Normal    FALSE #> 14662  917 0.5314274 0.129139130  fv Log-Normal   Cox, Log-Normal    FALSE #> 14678  918 0.5742138 0.121553839  fv Log-Normal   Cox, Log-Normal    FALSE #> 14694  919 0.6544943 0.119380355  fv Log-Normal   Cox, Log-Normal    FALSE #> 14710  920 0.6868399 0.113637131  fv Log-Normal   Cox, Log-Normal    FALSE #> 14726  921 1.1773278 0.226105941  fv Log-Normal   Cox, Log-Normal     TRUE #> 14742  922 0.6144325 0.114228710  fv Log-Normal   Cox, Log-Normal    FALSE #> 14758  923 1.0843000 0.228582600  fv Log-Normal   Cox, Log-Normal     TRUE #> 14774  924 0.6749561 0.128183794  fv Log-Normal   Cox, Log-Normal    FALSE #> 14790  925 0.7478889 0.156179177  fv Log-Normal   Cox, Log-Normal    FALSE #> 14806  926 0.9518760 0.174183082  fv Log-Normal   Cox, Log-Normal    FALSE #> 14822  927 0.8086761 0.157608442  fv Log-Normal   Cox, Log-Normal    FALSE #> 14838  928 0.6843932 0.138396866  fv Log-Normal   Cox, Log-Normal    FALSE #> 14854  929 0.7647168 0.139036563  fv Log-Normal   Cox, Log-Normal    FALSE #> 14870  930 0.5777332 0.125461849  fv Log-Normal   Cox, Log-Normal    FALSE #> 14886  931 0.8122488 0.151665716  fv Log-Normal   Cox, Log-Normal    FALSE #> 14902  932 0.5420925 0.116762834  fv Log-Normal   Cox, Log-Normal    FALSE #> 14918  933 0.5739756 0.094085379  fv Log-Normal   Cox, Log-Normal    FALSE #> 14934  934 0.6826506 0.151986119  fv Log-Normal   Cox, Log-Normal    FALSE #> 14950  935 0.8998188 0.151748807  fv Log-Normal   Cox, Log-Normal    FALSE #> 14966  936 0.6997538 0.130621651  fv Log-Normal   Cox, Log-Normal    FALSE #> 14982  937 0.8472782 0.151815981  fv Log-Normal   Cox, Log-Normal    FALSE #> 14998  938 0.9004974 0.178529342  fv Log-Normal   Cox, Log-Normal    FALSE #> 15014  939 0.5682556 0.086970214  fv Log-Normal   Cox, Log-Normal    FALSE #> 15030  940 0.8662010 0.228227941  fv Log-Normal   Cox, Log-Normal     TRUE #> 15046  941 0.4726126 0.093706557  fv Log-Normal   Cox, Log-Normal    FALSE #> 15062  942 0.8714100 0.165388066  fv Log-Normal   Cox, Log-Normal    FALSE #> 15078  943 0.5203635 0.076183783  fv Log-Normal   Cox, Log-Normal    FALSE #> 15094  944 0.6583700 0.114715236  fv Log-Normal   Cox, Log-Normal    FALSE #> 15110  945 1.0014192 0.198006785  fv Log-Normal   Cox, Log-Normal    FALSE #> 15126  946 0.8283976 0.138699106  fv Log-Normal   Cox, Log-Normal    FALSE #> 15142  947 0.8336294 0.130080513  fv Log-Normal   Cox, Log-Normal    FALSE #> 15158  948 0.4624278 0.106368903  fv Log-Normal   Cox, Log-Normal    FALSE #> 15174  949 0.7755816 0.201619990  fv Log-Normal   Cox, Log-Normal    FALSE #> 15190  950 0.7749094 0.131061734  fv Log-Normal   Cox, Log-Normal    FALSE #> 15206  951 0.5867880 0.126974333  fv Log-Normal   Cox, Log-Normal    FALSE #> 15222  952 0.6279933 0.113401628  fv Log-Normal   Cox, Log-Normal    FALSE #> 15238  953 0.6028978 0.127851761  fv Log-Normal   Cox, Log-Normal    FALSE #> 15254  954 0.8198247 0.196525947  fv Log-Normal   Cox, Log-Normal    FALSE #> 15270  955 0.7011257 0.118020695  fv Log-Normal   Cox, Log-Normal    FALSE #> 15286  956 0.8909384 0.147092482  fv Log-Normal   Cox, Log-Normal    FALSE #> 15302  957 0.6256487 0.123780844  fv Log-Normal   Cox, Log-Normal    FALSE #> 15318  958 0.6012760 0.127411782  fv Log-Normal   Cox, Log-Normal    FALSE #> 15334  959 0.6842127 0.110349251  fv Log-Normal   Cox, Log-Normal    FALSE #> 15350  960 0.5962401 0.132639556  fv Log-Normal   Cox, Log-Normal    FALSE #> 15366  961 0.8256761 0.134731038  fv Log-Normal   Cox, Log-Normal    FALSE #> 15382  962 0.8480599 0.146238080  fv Log-Normal   Cox, Log-Normal    FALSE #> 15398  963 0.8964273 0.190800209  fv Log-Normal   Cox, Log-Normal    FALSE #> 15414  964 0.6844403 0.155462521  fv Log-Normal   Cox, Log-Normal    FALSE #> 15430  965 0.5646155 0.099615793  fv Log-Normal   Cox, Log-Normal    FALSE #> 15446  966 1.0564302 0.173266059  fv Log-Normal   Cox, Log-Normal     TRUE #> 15462  967 0.8965299 0.184549026  fv Log-Normal   Cox, Log-Normal    FALSE #> 15478  968 0.8387679 0.191014624  fv Log-Normal   Cox, Log-Normal    FALSE #> 15494  969 1.0086294 0.181030289  fv Log-Normal   Cox, Log-Normal    FALSE #> 15510  970 0.7743469 0.160146415  fv Log-Normal   Cox, Log-Normal    FALSE #> 15526  971 0.9588093 0.163447254  fv Log-Normal   Cox, Log-Normal    FALSE #> 15542  972 0.6142044 0.129972343  fv Log-Normal   Cox, Log-Normal    FALSE #> 15558  973 0.9177821 0.145918328  fv Log-Normal   Cox, Log-Normal    FALSE #> 15574  974 0.9095060 0.166708944  fv Log-Normal   Cox, Log-Normal    FALSE #> 15590  975 1.0452709 0.179306204  fv Log-Normal   Cox, Log-Normal     TRUE #> 15606  976 0.8166536 0.248030345  fv Log-Normal   Cox, Log-Normal     TRUE #> 15622  977 1.1346207 0.218925064  fv Log-Normal   Cox, Log-Normal     TRUE #> 15638  978 0.8376048 0.216970640  fv Log-Normal   Cox, Log-Normal    FALSE #> 15654  979 0.6250216 0.119316195  fv Log-Normal   Cox, Log-Normal    FALSE #> 15670  980 0.8403925 0.203135178  fv Log-Normal   Cox, Log-Normal    FALSE #> 15686  981 0.6682226 0.111181799  fv Log-Normal   Cox, Log-Normal    FALSE #> 15702  982 0.7057857 0.165757380  fv Log-Normal   Cox, Log-Normal    FALSE #> 15718  983 0.7389994 0.128759268  fv Log-Normal   Cox, Log-Normal    FALSE #> 15734  984 0.6410471 0.118385691  fv Log-Normal   Cox, Log-Normal    FALSE #> 15750  985 0.8274032 0.154219628  fv Log-Normal   Cox, Log-Normal    FALSE #> 15766  986 0.7677255 0.160069092  fv Log-Normal   Cox, Log-Normal    FALSE #> 15782  987 0.6687190 0.167108475  fv Log-Normal   Cox, Log-Normal    FALSE #> 15798  988 0.8994325 0.141177294  fv Log-Normal   Cox, Log-Normal    FALSE #> 15814  989 0.9739533 0.164384471  fv Log-Normal   Cox, Log-Normal    FALSE #> 15830  990 0.7007834 0.125967616  fv Log-Normal   Cox, Log-Normal    FALSE #> 15846  991 0.7971769 0.144583688  fv Log-Normal   Cox, Log-Normal    FALSE #> 15862  992 0.7144825 0.127981863  fv Log-Normal   Cox, Log-Normal    FALSE #> 15878  993 0.7552077 0.121304392  fv Log-Normal   Cox, Log-Normal    FALSE #> 15894  994 0.6920912 0.164611440  fv Log-Normal   Cox, Log-Normal    FALSE #> 15910  995 0.6370552 0.159854672  fv Log-Normal   Cox, Log-Normal    FALSE #> 15926  996 0.7158013 0.157550693  fv Log-Normal   Cox, Log-Normal    FALSE #> 15942  997 0.7112983 0.119441114  fv Log-Normal   Cox, Log-Normal    FALSE #> 15958  998 0.6493443 0.159161298  fv Log-Normal   Cox, Log-Normal    FALSE #> 15974  999 0.8004319 0.155806429  fv Log-Normal   Cox, Log-Normal    FALSE #> 15990 1000 0.7192738 0.144032838  fv Log-Normal   Cox, Log-Normal    FALSE #> 7        1 0.6405455 0.122690524  fv Log-Normal      RP(P), Gamma    FALSE #> 23       2 0.6040462 0.117656180  fv Log-Normal      RP(P), Gamma    FALSE #> 39       3 0.8022026 0.152352601  fv Log-Normal      RP(P), Gamma    FALSE #> 55       4 0.5259592 0.103211324  fv Log-Normal      RP(P), Gamma    FALSE #> 71       5 0.7983299 0.149019874  fv Log-Normal      RP(P), Gamma    FALSE #> 87       6 0.6887647 0.130581125  fv Log-Normal      RP(P), Gamma    FALSE #> 103      7 0.5143373 0.100826891  fv Log-Normal      RP(P), Gamma    FALSE #> 119      8 0.7636843 0.144723641  fv Log-Normal      RP(P), Gamma    FALSE #> 135      9 0.6642983 0.127490449  fv Log-Normal      RP(P), Gamma    FALSE #> 151     10 0.8292666 0.155612348  fv Log-Normal      RP(P), Gamma    FALSE #> 167     11 0.7870963 0.147766260  fv Log-Normal      RP(P), Gamma    FALSE #> 183     12 0.5128538 0.101130755  fv Log-Normal      RP(P), Gamma    FALSE #> 199     13 0.7531485 0.143377407  fv Log-Normal      RP(P), Gamma    FALSE #> 215     14 0.6331756 0.120852213  fv Log-Normal      RP(P), Gamma    FALSE #> 231     15 0.6426603 0.123809994  fv Log-Normal      RP(P), Gamma    FALSE #> 247     16 0.5322474 0.105162595  fv Log-Normal      RP(P), Gamma    FALSE #> 263     17 0.6467134 0.126503719  fv Log-Normal      RP(P), Gamma    FALSE #> 279     18 0.6943998 0.131886091  fv Log-Normal      RP(P), Gamma    FALSE #> 295     19 0.7899824 0.147933146  fv Log-Normal      RP(P), Gamma    FALSE #> 311     20 0.5484487 0.107786986  fv Log-Normal      RP(P), Gamma    FALSE #> 327     21 0.6161933 0.119855712  fv Log-Normal      RP(P), Gamma    FALSE #> 343     22 0.5040710 0.098879998  fv Log-Normal      RP(P), Gamma    FALSE #> 359     23 0.8877674 0.167618206  fv Log-Normal      RP(P), Gamma    FALSE #> 375     24 0.6757630 0.128886073  fv Log-Normal      RP(P), Gamma    FALSE #> 391     25 0.5307117 0.103738093  fv Log-Normal      RP(P), Gamma    FALSE #> 407     26 0.6429191 0.123298527  fv Log-Normal      RP(P), Gamma    FALSE #> 423     27 0.4611677 0.092589138  fv Log-Normal      RP(P), Gamma    FALSE #> 439     28 0.6456617 0.124703184  fv Log-Normal      RP(P), Gamma    FALSE #> 455     29 0.9326416 0.171576792  fv Log-Normal      RP(P), Gamma     TRUE #> 471     30 0.5693105 0.110689741  fv Log-Normal      RP(P), Gamma    FALSE #> 487     31 0.5125629 0.101588852  fv Log-Normal      RP(P), Gamma    FALSE #> 503     32 0.5118841 0.101147723  fv Log-Normal      RP(P), Gamma    FALSE #> 519     33 0.6618378 0.126871990  fv Log-Normal      RP(P), Gamma    FALSE #> 535     34 0.8797795 0.165259342  fv Log-Normal      RP(P), Gamma    FALSE #> 551     35 0.5063559 0.102207355  fv Log-Normal      RP(P), Gamma    FALSE #> 567     36 0.4635876 0.092513305  fv Log-Normal      RP(P), Gamma    FALSE #> 583     37 0.6395122 0.123631418  fv Log-Normal      RP(P), Gamma    FALSE #> 599     38 0.6075237 0.118657265  fv Log-Normal      RP(P), Gamma    FALSE #> 615     39 0.7176400 0.137133349  fv Log-Normal      RP(P), Gamma    FALSE #> 631     40 0.5781112 0.116042341  fv Log-Normal      RP(P), Gamma    FALSE #> 647     41 0.6542709 0.124754965  fv Log-Normal      RP(P), Gamma    FALSE #> 663     42 0.5154684 0.101882146  fv Log-Normal      RP(P), Gamma    FALSE #> 679     43 0.4670205 0.092725837  fv Log-Normal      RP(P), Gamma    FALSE #> 695     44 0.6203867 0.118800155  fv Log-Normal      RP(P), Gamma    FALSE #> 711     45 0.5393777 0.105195798  fv Log-Normal      RP(P), Gamma    FALSE #> 727     46 0.3151313 0.065214531  fv Log-Normal      RP(P), Gamma     TRUE #> 743     47 0.7594989 0.142998177  fv Log-Normal      RP(P), Gamma    FALSE #> 759     48 0.8276292 0.156727119  fv Log-Normal      RP(P), Gamma    FALSE #> 775     49 0.8478641 0.158244438  fv Log-Normal      RP(P), Gamma    FALSE #> 791     50 0.5475928 0.107331065  fv Log-Normal      RP(P), Gamma    FALSE #> 807     51 0.6844050 0.129691061  fv Log-Normal      RP(P), Gamma    FALSE #> 823     52 0.4849833 0.096565419  fv Log-Normal      RP(P), Gamma    FALSE #> 839     53 0.8506738 0.158927483  fv Log-Normal      RP(P), Gamma    FALSE #> 855     54 0.6258808 0.120694285  fv Log-Normal      RP(P), Gamma    FALSE #> 871     55 0.8334571 0.156035069  fv Log-Normal      RP(P), Gamma    FALSE #> 887     56 0.7883870 0.150629653  fv Log-Normal      RP(P), Gamma    FALSE #> 903     57 0.8198680 0.154099203  fv Log-Normal      RP(P), Gamma    FALSE #> 919     58 0.7046033 0.135489320  fv Log-Normal      RP(P), Gamma    FALSE #> 935     59 0.6362143 0.122087484  fv Log-Normal      RP(P), Gamma    FALSE #> 951     60 0.8194371 0.153940246  fv Log-Normal      RP(P), Gamma    FALSE #> 967     61 0.7165910 0.137115513  fv Log-Normal      RP(P), Gamma    FALSE #> 983     62 0.6072289 0.118534620  fv Log-Normal      RP(P), Gamma    FALSE #> 999     63 0.7813425 0.147824198  fv Log-Normal      RP(P), Gamma    FALSE #> 1015    64 0.6962526 0.132885352  fv Log-Normal      RP(P), Gamma    FALSE #> 1031    65 0.9532066 0.179257953  fv Log-Normal      RP(P), Gamma     TRUE #> 1047    66 0.5446300 0.106323243  fv Log-Normal      RP(P), Gamma    FALSE #> 1063    67 0.5523958 0.108439867  fv Log-Normal      RP(P), Gamma    FALSE #> 1079    68 0.4935455 0.098591049  fv Log-Normal      RP(P), Gamma    FALSE #> 1095    69 0.7293272 0.138575438  fv Log-Normal      RP(P), Gamma    FALSE #> 1111    70 0.6433089 0.123090851  fv Log-Normal      RP(P), Gamma    FALSE #> 1127    71 0.8654650 0.161985674  fv Log-Normal      RP(P), Gamma    FALSE #> 1143    72 0.5596582 0.109600090  fv Log-Normal      RP(P), Gamma    FALSE #> 1159    73 0.6080334 0.117616590  fv Log-Normal      RP(P), Gamma    FALSE #> 1175    74 0.4192212 0.085190539  fv Log-Normal      RP(P), Gamma    FALSE #> 1191    75 0.6459502 0.123937508  fv Log-Normal      RP(P), Gamma    FALSE #> 1207    76 0.5317111 0.103568281  fv Log-Normal      RP(P), Gamma    FALSE #> 1223    77 0.8201123 0.155989547  fv Log-Normal      RP(P), Gamma    FALSE #> 1239    78 0.7324703 0.140075929  fv Log-Normal      RP(P), Gamma    FALSE #> 1255    79 0.9938648 0.182439175  fv Log-Normal      RP(P), Gamma     TRUE #> 1271    80 0.5406339 0.105944290  fv Log-Normal      RP(P), Gamma    FALSE #> 1287    81 0.8194269 0.152455464  fv Log-Normal      RP(P), Gamma    FALSE #> 1303    82 0.6005756 0.115909588  fv Log-Normal      RP(P), Gamma    FALSE #> 1319    83 0.6898550 0.131609094  fv Log-Normal      RP(P), Gamma    FALSE #> 1335    84 0.5667630 0.110642783  fv Log-Normal      RP(P), Gamma    FALSE #> 1351    85 0.6773712 0.132784297  fv Log-Normal      RP(P), Gamma    FALSE #> 1367    86 0.5699243 0.113421403  fv Log-Normal      RP(P), Gamma    FALSE #> 1383    87 0.6537014 0.126044444  fv Log-Normal      RP(P), Gamma    FALSE #> 1399    88 0.6600437 0.127234347  fv Log-Normal      RP(P), Gamma    FALSE #> 1415    89 0.9099395 0.169648022  fv Log-Normal      RP(P), Gamma     TRUE #> 1431    90 0.7941829 0.150612563  fv Log-Normal      RP(P), Gamma    FALSE #> 1447    91 0.7956442 0.149468843  fv Log-Normal      RP(P), Gamma    FALSE #> 1463    92 0.7891605 0.150545862  fv Log-Normal      RP(P), Gamma    FALSE #> 1479    93 0.5507555 0.107524863  fv Log-Normal      RP(P), Gamma    FALSE #> 1495    94 0.6893063 0.131615461  fv Log-Normal      RP(P), Gamma    FALSE #> 1511    95 0.6382982 0.123572285  fv Log-Normal      RP(P), Gamma    FALSE #> 1527    96 0.5046216 0.099786695  fv Log-Normal      RP(P), Gamma    FALSE #> 1543    97 0.7335341 0.140274698  fv Log-Normal      RP(P), Gamma    FALSE #> 1559    98 0.4142127 0.083239347  fv Log-Normal      RP(P), Gamma    FALSE #> 1575    99 0.6777154 0.128918607  fv Log-Normal      RP(P), Gamma    FALSE #> 1591   100 0.5891772 0.114720160  fv Log-Normal      RP(P), Gamma    FALSE #> 1607   101 0.5518648 0.107174335  fv Log-Normal      RP(P), Gamma    FALSE #> 1623   102 0.4756834 0.094711857  fv Log-Normal      RP(P), Gamma    FALSE #> 1639   103 0.7016967 0.133963829  fv Log-Normal      RP(P), Gamma    FALSE #> 1655   104 0.7084303 0.137263107  fv Log-Normal      RP(P), Gamma    FALSE #> 1671   105 0.5064685 0.102906578  fv Log-Normal      RP(P), Gamma    FALSE #> 1687   106 0.5857525 0.114320345  fv Log-Normal      RP(P), Gamma    FALSE #> 1703   107 0.6995063 0.132392724  fv Log-Normal      RP(P), Gamma    FALSE #> 1719   108 0.6165509 0.119326267  fv Log-Normal      RP(P), Gamma    FALSE #> 1735   109 0.8984590 0.168924157  fv Log-Normal      RP(P), Gamma    FALSE #> 1751   110 0.7971634 0.150429620  fv Log-Normal      RP(P), Gamma    FALSE #> 1767   111 0.6308884 0.123949462  fv Log-Normal      RP(P), Gamma    FALSE #> 1783   112 0.6636078 0.127316904  fv Log-Normal      RP(P), Gamma    FALSE #> 1799   113 0.7259975 0.136892504  fv Log-Normal      RP(P), Gamma    FALSE #> 1815   114 0.6262837 0.122125778  fv Log-Normal      RP(P), Gamma    FALSE #> 1831   115 0.6652682 0.127308897  fv Log-Normal      RP(P), Gamma    FALSE #> 1847   116 0.6770393 0.129129051  fv Log-Normal      RP(P), Gamma    FALSE #> 1863   117 0.7575098 0.143016176  fv Log-Normal      RP(P), Gamma    FALSE #> 1879   118 0.5399997 0.105372939  fv Log-Normal      RP(P), Gamma    FALSE #> 1895   119 0.5340591 0.104867540  fv Log-Normal      RP(P), Gamma    FALSE #> 1911   120 0.7487613 0.142422272  fv Log-Normal      RP(P), Gamma    FALSE #> 1927   121 0.6742231 0.129655167  fv Log-Normal      RP(P), Gamma    FALSE #> 1943   122 0.5368862 0.108010594  fv Log-Normal      RP(P), Gamma    FALSE #> 1959   123 0.4854876 0.096157026  fv Log-Normal      RP(P), Gamma    FALSE #> 1975   124 0.5249067 0.104010179  fv Log-Normal      RP(P), Gamma    FALSE #> 1991   125 0.4728895 0.093518687  fv Log-Normal      RP(P), Gamma    FALSE #> 2007   126 0.9488240 0.174441002  fv Log-Normal      RP(P), Gamma     TRUE #> 2023   127 0.4311185 0.086119704  fv Log-Normal      RP(P), Gamma    FALSE #> 2039   128 0.4413847 0.087730859  fv Log-Normal      RP(P), Gamma    FALSE #> 2055   129        NA          NA  fv Log-Normal      RP(P), Gamma       NA #> 2071   130 0.5336320 0.106231024  fv Log-Normal      RP(P), Gamma    FALSE #> 2087   131 0.5858983 0.113618046  fv Log-Normal      RP(P), Gamma    FALSE #> 2103   132 0.6742043 0.128792567  fv Log-Normal      RP(P), Gamma    FALSE #> 2119   133 0.8441107 0.157692189  fv Log-Normal      RP(P), Gamma    FALSE #> 2135   134 0.8722116 0.161293518  fv Log-Normal      RP(P), Gamma    FALSE #> 2151   135 0.6602743 0.128176844  fv Log-Normal      RP(P), Gamma    FALSE #> 2167   136 0.5612475 0.112751238  fv Log-Normal      RP(P), Gamma    FALSE #> 2183   137 0.4623204 0.092357534  fv Log-Normal      RP(P), Gamma    FALSE #> 2199   138 0.4908476 0.097235287  fv Log-Normal      RP(P), Gamma    FALSE #> 2215   139 0.6199716 0.119201745  fv Log-Normal      RP(P), Gamma    FALSE #> 2231   140 0.6891782 0.130965978  fv Log-Normal      RP(P), Gamma    FALSE #> 2247   141 0.4059617 0.082546224  fv Log-Normal      RP(P), Gamma    FALSE #> 2263   142 0.4534912 0.090599077  fv Log-Normal      RP(P), Gamma    FALSE #> 2279   143 0.5205738 0.101978989  fv Log-Normal      RP(P), Gamma    FALSE #> 2295   144 0.6658738 0.130280150  fv Log-Normal      RP(P), Gamma    FALSE #> 2311   145 0.4853461 0.095873172  fv Log-Normal      RP(P), Gamma    FALSE #> 2327   146 0.6720809 0.128706896  fv Log-Normal      RP(P), Gamma    FALSE #> 2343   147 0.6507118 0.128489909  fv Log-Normal      RP(P), Gamma    FALSE #> 2359   148 0.5095945 0.100822955  fv Log-Normal      RP(P), Gamma    FALSE #> 2375   149 0.3835714 0.078576851  fv Log-Normal      RP(P), Gamma    FALSE #> 2391   150 0.5016718 0.099016609  fv Log-Normal      RP(P), Gamma    FALSE #> 2407   151 0.8315877 0.156138668  fv Log-Normal      RP(P), Gamma    FALSE #> 2423   152 0.6110434 0.117965209  fv Log-Normal      RP(P), Gamma    FALSE #> 2439   153 0.7767963 0.147635467  fv Log-Normal      RP(P), Gamma    FALSE #> 2455   154 0.6464367 0.123675217  fv Log-Normal      RP(P), Gamma    FALSE #> 2471   155 0.9166992 0.171012178  fv Log-Normal      RP(P), Gamma     TRUE #> 2487   156 0.5371060 0.105038383  fv Log-Normal      RP(P), Gamma    FALSE #> 2503   157 0.5603420 0.109709264  fv Log-Normal      RP(P), Gamma    FALSE #> 2519   158 0.6131854 0.119373111  fv Log-Normal      RP(P), Gamma    FALSE #> 2535   159 0.6606685 0.127011784  fv Log-Normal      RP(P), Gamma    FALSE #> 2551   160 0.6082429 0.116880821  fv Log-Normal      RP(P), Gamma    FALSE #> 2567   161 0.8477261 0.159265826  fv Log-Normal      RP(P), Gamma    FALSE #> 2583   162 0.8610655 0.160638530  fv Log-Normal      RP(P), Gamma    FALSE #> 2599   163 0.5255327 0.102820821  fv Log-Normal      RP(P), Gamma    FALSE #> 2615   164 0.6363234 0.123177257  fv Log-Normal      RP(P), Gamma    FALSE #> 2631   165 0.4847113 0.095621852  fv Log-Normal      RP(P), Gamma    FALSE #> 2647   166 0.4273386 0.086136647  fv Log-Normal      RP(P), Gamma    FALSE #> 2663   167 0.6483222 0.124315665  fv Log-Normal      RP(P), Gamma    FALSE #> 2679   168 0.7464834 0.140802165  fv Log-Normal      RP(P), Gamma    FALSE #> 2695   169 0.6310328 0.122313242  fv Log-Normal      RP(P), Gamma    FALSE #> 2711   170 0.6614880 0.126258548  fv Log-Normal      RP(P), Gamma    FALSE #> 2727   171 0.7041851 0.133318185  fv Log-Normal      RP(P), Gamma    FALSE #> 2743   172 0.6398290 0.122342065  fv Log-Normal      RP(P), Gamma    FALSE #> 2759   173 0.7006805 0.134276835  fv Log-Normal      RP(P), Gamma    FALSE #> 2775   174 0.5291788 0.103456703  fv Log-Normal      RP(P), Gamma    FALSE #> 2791   175 0.7108273 0.135795471  fv Log-Normal      RP(P), Gamma    FALSE #> 2807   176 0.8661291 0.161557935  fv Log-Normal      RP(P), Gamma    FALSE #> 2823   177 0.6642310 0.126471594  fv Log-Normal      RP(P), Gamma    FALSE #> 2839   178 0.4796659 0.095097392  fv Log-Normal      RP(P), Gamma    FALSE #> 2855   179 0.7824077 0.146493201  fv Log-Normal      RP(P), Gamma    FALSE #> 2871   180 0.4968833 0.098150177  fv Log-Normal      RP(P), Gamma    FALSE #> 2887   181 0.6323696 0.121435745  fv Log-Normal      RP(P), Gamma    FALSE #> 2903   182 1.0216845 0.186453940  fv Log-Normal      RP(P), Gamma     TRUE #> 2919   183 0.6566254 0.127917698  fv Log-Normal      RP(P), Gamma    FALSE #> 2935   184 0.8214407 0.153256632  fv Log-Normal      RP(P), Gamma    FALSE #> 2951   185 0.7216302 0.137253976  fv Log-Normal      RP(P), Gamma    FALSE #> 2967   186 0.6969526 0.133055560  fv Log-Normal      RP(P), Gamma    FALSE #> 2983   187 0.6428409 0.124161801  fv Log-Normal      RP(P), Gamma    FALSE #> 2999   188 0.8407790 0.159841769  fv Log-Normal      RP(P), Gamma    FALSE #> 3015   189 0.6289527 0.121021866  fv Log-Normal      RP(P), Gamma    FALSE #> 3031   190 0.6326976 0.120915735  fv Log-Normal      RP(P), Gamma    FALSE #> 3047   191 0.6249393 0.120592489  fv Log-Normal      RP(P), Gamma    FALSE #> 3063   192 0.6598537 0.128466551  fv Log-Normal      RP(P), Gamma    FALSE #> 3079   193 0.6102061 0.117379674  fv Log-Normal      RP(P), Gamma    FALSE #> 3095   194 0.8914916 0.165672989  fv Log-Normal      RP(P), Gamma    FALSE #> 3111   195 0.5772301 0.113864924  fv Log-Normal      RP(P), Gamma    FALSE #> 3127   196 0.5383756 0.105235105  fv Log-Normal      RP(P), Gamma    FALSE #> 3143   197 0.6041119 0.116883514  fv Log-Normal      RP(P), Gamma    FALSE #> 3159   198 0.7005811 0.133773352  fv Log-Normal      RP(P), Gamma    FALSE #> 3175   199 0.4750485 0.094149962  fv Log-Normal      RP(P), Gamma    FALSE #> 3191   200 0.5370248 0.105409839  fv Log-Normal      RP(P), Gamma    FALSE #> 3207   201 0.7905997 0.148883784  fv Log-Normal      RP(P), Gamma    FALSE #> 3223   202 0.6263271 0.120314826  fv Log-Normal      RP(P), Gamma    FALSE #> 3239   203 0.5566798 0.108533443  fv Log-Normal      RP(P), Gamma    FALSE #> 3255   204 0.5878622 0.114038141  fv Log-Normal      RP(P), Gamma    FALSE #> 3271   205 0.5479470 0.106767841  fv Log-Normal      RP(P), Gamma    FALSE #> 3287   206 0.6715801 0.128670374  fv Log-Normal      RP(P), Gamma    FALSE #> 3303   207 0.8542152 0.163744329  fv Log-Normal      RP(P), Gamma    FALSE #> 3319   208 0.8157609 0.151809241  fv Log-Normal      RP(P), Gamma    FALSE #> 3335   209 0.5728611 0.111944591  fv Log-Normal      RP(P), Gamma    FALSE #> 3351   210 0.5943906 0.115022190  fv Log-Normal      RP(P), Gamma    FALSE #> 3367   211 0.7064552 0.134382106  fv Log-Normal      RP(P), Gamma    FALSE #> 3383   212 0.6689386 0.127628218  fv Log-Normal      RP(P), Gamma    FALSE #> 3399   213 0.5688727 0.111551542  fv Log-Normal      RP(P), Gamma    FALSE #> 3415   214 0.5600375 0.108774437  fv Log-Normal      RP(P), Gamma    FALSE #> 3431   215 0.6737893 0.131910998  fv Log-Normal      RP(P), Gamma    FALSE #> 3447   216 0.8405789 0.157041468  fv Log-Normal      RP(P), Gamma    FALSE #> 3463   217 0.6564690 0.126109444  fv Log-Normal      RP(P), Gamma    FALSE #> 3479   218 0.6246779 0.123646184  fv Log-Normal      RP(P), Gamma    FALSE #> 3495   219 0.8259887 0.156771669  fv Log-Normal      RP(P), Gamma    FALSE #> 3511   220 0.7024489 0.133066264  fv Log-Normal      RP(P), Gamma    FALSE #> 3527   221 0.5596475 0.109357114  fv Log-Normal      RP(P), Gamma    FALSE #> 3543   222 0.3319187 0.068263082  fv Log-Normal      RP(P), Gamma     TRUE #> 3559   223 0.4898847 0.096767377  fv Log-Normal      RP(P), Gamma    FALSE #> 3575   224 0.4907177 0.096440093  fv Log-Normal      RP(P), Gamma    FALSE #> 3591   225 0.7652595 0.144819052  fv Log-Normal      RP(P), Gamma    FALSE #> 3607   226 0.8552764 0.158589758  fv Log-Normal      RP(P), Gamma    FALSE #> 3623   227 0.6388617 0.122214127  fv Log-Normal      RP(P), Gamma    FALSE #> 3639   228 0.7198722 0.136042538  fv Log-Normal      RP(P), Gamma    FALSE #> 3655   229 0.3795975 0.077804857  fv Log-Normal      RP(P), Gamma     TRUE #> 3671   230 0.5809617 0.113716968  fv Log-Normal      RP(P), Gamma    FALSE #> 3687   231 0.5863665 0.113707295  fv Log-Normal      RP(P), Gamma    FALSE #> 3703   232 0.8032751 0.151280169  fv Log-Normal      RP(P), Gamma    FALSE #> 3719   233 0.8531541 0.160153943  fv Log-Normal      RP(P), Gamma    FALSE #> 3735   234 0.8495275 0.159594009  fv Log-Normal      RP(P), Gamma    FALSE #> 3751   235 0.4897131 0.096464651  fv Log-Normal      RP(P), Gamma    FALSE #> 3767   236 0.5762813 0.112345236  fv Log-Normal      RP(P), Gamma    FALSE #> 3783   237 0.5286123 0.104396860  fv Log-Normal      RP(P), Gamma    FALSE #> 3799   238 0.7811056 0.148031077  fv Log-Normal      RP(P), Gamma    FALSE #> 3815   239 0.8198879 0.155297026  fv Log-Normal      RP(P), Gamma    FALSE #> 3831   240 0.5414650 0.105722595  fv Log-Normal      RP(P), Gamma    FALSE #> 3847   241 0.6511463 0.125298011  fv Log-Normal      RP(P), Gamma    FALSE #> 3863   242 0.4836988 0.095465475  fv Log-Normal      RP(P), Gamma    FALSE #> 3879   243 0.6196244 0.120104981  fv Log-Normal      RP(P), Gamma    FALSE #> 3895   244 0.5113606 0.100849696  fv Log-Normal      RP(P), Gamma    FALSE #> 3911   245 0.4278909 0.085833193  fv Log-Normal      RP(P), Gamma    FALSE #> 3927   246 0.7643256 0.148247377  fv Log-Normal      RP(P), Gamma    FALSE #> 3943   247 0.6396835 0.124646729  fv Log-Normal      RP(P), Gamma    FALSE #> 3959   248 0.8887262 0.165189703  fv Log-Normal      RP(P), Gamma    FALSE #> 3975   249 0.5107049 0.100257685  fv Log-Normal      RP(P), Gamma    FALSE #> 3991   250 0.7077054 0.135338727  fv Log-Normal      RP(P), Gamma    FALSE #> 4007   251 0.5668351 0.110779312  fv Log-Normal      RP(P), Gamma    FALSE #> 4023   252 0.4787966 0.096884322  fv Log-Normal      RP(P), Gamma    FALSE #> 4039   253 0.7726230 0.145916040  fv Log-Normal      RP(P), Gamma    FALSE #> 4055   254 0.6804182 0.131478555  fv Log-Normal      RP(P), Gamma    FALSE #> 4071   255 0.8644481 0.162650447  fv Log-Normal      RP(P), Gamma    FALSE #> 4087   256 0.7870450 0.149599723  fv Log-Normal      RP(P), Gamma    FALSE #> 4103   257 0.7192110 0.135991127  fv Log-Normal      RP(P), Gamma    FALSE #> 4119   258 0.4068613 0.083073788  fv Log-Normal      RP(P), Gamma    FALSE #> 4135   259 0.5817998 0.112751709  fv Log-Normal      RP(P), Gamma    FALSE #> 4151   260 0.5469431 0.106420507  fv Log-Normal      RP(P), Gamma    FALSE #> 4167   261 0.7080536 0.133881161  fv Log-Normal      RP(P), Gamma    FALSE #> 4183   262 0.5942497 0.115095777  fv Log-Normal      RP(P), Gamma    FALSE #> 4199   263 0.7020528 0.133587665  fv Log-Normal      RP(P), Gamma    FALSE #> 4215   264 0.7159177 0.137273577  fv Log-Normal      RP(P), Gamma    FALSE #> 4231   265 0.5643244 0.109794624  fv Log-Normal      RP(P), Gamma    FALSE #> 4247   266 0.5478052 0.106965318  fv Log-Normal      RP(P), Gamma    FALSE #> 4263   267 0.5885489 0.115653369  fv Log-Normal      RP(P), Gamma    FALSE #> 4279   268 0.8693749 0.161917429  fv Log-Normal      RP(P), Gamma    FALSE #> 4295   269 0.5582825 0.109290397  fv Log-Normal      RP(P), Gamma    FALSE #> 4311   270 0.5684455 0.110779055  fv Log-Normal      RP(P), Gamma    FALSE #> 4327   271 0.7749650 0.149141098  fv Log-Normal      RP(P), Gamma    FALSE #> 4343   272 0.5156209 0.101591602  fv Log-Normal      RP(P), Gamma    FALSE #> 4359   273 0.6159012 0.118371233  fv Log-Normal      RP(P), Gamma    FALSE #> 4375   274 0.7947242 0.153820357  fv Log-Normal      RP(P), Gamma    FALSE #> 4391   275 0.6368109 0.127096784  fv Log-Normal      RP(P), Gamma    FALSE #> 4407   276 0.6711689 0.127922100  fv Log-Normal      RP(P), Gamma    FALSE #> 4423   277 0.6940475 0.133116364  fv Log-Normal      RP(P), Gamma    FALSE #> 4439   278 0.5152790 0.101199568  fv Log-Normal      RP(P), Gamma    FALSE #> 4455   279 0.8113280 0.153290256  fv Log-Normal      RP(P), Gamma    FALSE #> 4471   280 0.7000853 0.133350179  fv Log-Normal      RP(P), Gamma    FALSE #> 4487   281 0.6962477 0.133227021  fv Log-Normal      RP(P), Gamma    FALSE #> 4503   282 0.5426193 0.105700649  fv Log-Normal      RP(P), Gamma    FALSE #> 4519   283 0.6864975 0.130397237  fv Log-Normal      RP(P), Gamma    FALSE #> 4535   284 0.5396176 0.105832850  fv Log-Normal      RP(P), Gamma    FALSE #> 4551   285 0.5913837 0.114382562  fv Log-Normal      RP(P), Gamma    FALSE #> 4567   286 0.6302251 0.122112449  fv Log-Normal      RP(P), Gamma    FALSE #> 4583   287 0.5331961 0.104369454  fv Log-Normal      RP(P), Gamma    FALSE #> 4599   288 0.5392503 0.105693369  fv Log-Normal      RP(P), Gamma    FALSE #> 4615   289 0.6092166 0.117897281  fv Log-Normal      RP(P), Gamma    FALSE #> 4631   290 0.6196235 0.119781773  fv Log-Normal      RP(P), Gamma    FALSE #> 4647   291 0.6359919 0.121775820  fv Log-Normal      RP(P), Gamma    FALSE #> 4663   292 0.5575946 0.109509524  fv Log-Normal      RP(P), Gamma    FALSE #> 4679   293 0.5651291 0.109070835  fv Log-Normal      RP(P), Gamma    FALSE #> 4695   294 0.6422035 0.123311702  fv Log-Normal      RP(P), Gamma    FALSE #> 4711   295 0.5802791 0.113172050  fv Log-Normal      RP(P), Gamma    FALSE #> 4727   296 0.7555790 0.143540463  fv Log-Normal      RP(P), Gamma    FALSE #> 4743   297 0.3852702 0.078217517  fv Log-Normal      RP(P), Gamma     TRUE #> 4759   298 0.5804362 0.112370909  fv Log-Normal      RP(P), Gamma    FALSE #> 4775   299 0.7034566 0.133837283  fv Log-Normal      RP(P), Gamma    FALSE #> 4791   300 0.5792017 0.112548997  fv Log-Normal      RP(P), Gamma    FALSE #> 4807   301 0.9200582 0.170247237  fv Log-Normal      RP(P), Gamma     TRUE #> 4823   302 0.7453558 0.144203963  fv Log-Normal      RP(P), Gamma    FALSE #> 4839   303 0.5897325 0.114210118  fv Log-Normal      RP(P), Gamma    FALSE #> 4855   304 0.5895917 0.114060297  fv Log-Normal      RP(P), Gamma    FALSE #> 4871   305 0.7011073 0.133304181  fv Log-Normal      RP(P), Gamma    FALSE #> 4887   306 0.5567072 0.109075590  fv Log-Normal      RP(P), Gamma    FALSE #> 4903   307 0.5115247 0.099800267  fv Log-Normal      RP(P), Gamma    FALSE #> 4919   308 0.6127341 0.118267081  fv Log-Normal      RP(P), Gamma    FALSE #> 4935   309 0.5241423 0.102639868  fv Log-Normal      RP(P), Gamma    FALSE #> 4951   310 0.5755538 0.112432453  fv Log-Normal      RP(P), Gamma    FALSE #> 4967   311 0.7951455 0.149340322  fv Log-Normal      RP(P), Gamma    FALSE #> 4983   312 0.5859886 0.113064816  fv Log-Normal      RP(P), Gamma    FALSE #> 4999   313 0.4372528 0.087909712  fv Log-Normal      RP(P), Gamma    FALSE #> 5015   314 0.6147684 0.119382806  fv Log-Normal      RP(P), Gamma    FALSE #> 5031   315 0.5645028 0.109393669  fv Log-Normal      RP(P), Gamma    FALSE #> 5047   316 0.5565989 0.109845464  fv Log-Normal      RP(P), Gamma    FALSE #> 5063   317 0.7191520 0.135613702  fv Log-Normal      RP(P), Gamma    FALSE #> 5079   318 0.5965863 0.120080385  fv Log-Normal      RP(P), Gamma    FALSE #> 5095   319 0.6537813 0.125979738  fv Log-Normal      RP(P), Gamma    FALSE #> 5111   320 0.7201799 0.136255734  fv Log-Normal      RP(P), Gamma    FALSE #> 5127   321 0.8328070 0.157289651  fv Log-Normal      RP(P), Gamma    FALSE #> 5143   322 0.4960487 0.098036056  fv Log-Normal      RP(P), Gamma    FALSE #> 5159   323 0.6557055 0.125129845  fv Log-Normal      RP(P), Gamma    FALSE #> 5175   324 0.4850376 0.096139606  fv Log-Normal      RP(P), Gamma    FALSE #> 5191   325 0.5705067 0.111972275  fv Log-Normal      RP(P), Gamma    FALSE #> 5207   326 0.7884406 0.148717603  fv Log-Normal      RP(P), Gamma    FALSE #> 5223   327 0.4470598 0.088883562  fv Log-Normal      RP(P), Gamma    FALSE #> 5239   328 0.6211920 0.118836862  fv Log-Normal      RP(P), Gamma    FALSE #> 5255   329 0.6073953 0.118395269  fv Log-Normal      RP(P), Gamma    FALSE #> 5271   330 0.4730565 0.093665743  fv Log-Normal      RP(P), Gamma    FALSE #> 5287   331 0.7787809 0.146186396  fv Log-Normal      RP(P), Gamma    FALSE #> 5303   332 0.6139570 0.118138831  fv Log-Normal      RP(P), Gamma    FALSE #> 5319   333 0.4885412 0.097414696  fv Log-Normal      RP(P), Gamma    FALSE #> 5335   334 0.4894316 0.096621925  fv Log-Normal      RP(P), Gamma    FALSE #> 5351   335 0.5028639 0.099176225  fv Log-Normal      RP(P), Gamma    FALSE #> 5367   336 0.7814231 0.148463487  fv Log-Normal      RP(P), Gamma    FALSE #> 5383   337 0.6035500 0.116907362  fv Log-Normal      RP(P), Gamma    FALSE #> 5399   338 0.6560915 0.125409466  fv Log-Normal      RP(P), Gamma    FALSE #> 5415   339 0.5183767 0.102142302  fv Log-Normal      RP(P), Gamma    FALSE #> 5431   340 0.8199144 0.154586635  fv Log-Normal      RP(P), Gamma    FALSE #> 5447   341 0.5944860 0.117533729  fv Log-Normal      RP(P), Gamma    FALSE #> 5463   342 0.5193587 0.101756311  fv Log-Normal      RP(P), Gamma    FALSE #> 5479   343 0.5446257 0.106850374  fv Log-Normal      RP(P), Gamma    FALSE #> 5495   344 0.6177256 0.119809792  fv Log-Normal      RP(P), Gamma    FALSE #> 5511   345 0.5759749 0.111483975  fv Log-Normal      RP(P), Gamma    FALSE #> 5527   346 0.4476355 0.090001470  fv Log-Normal      RP(P), Gamma    FALSE #> 5543   347 0.5928304 0.115552336  fv Log-Normal      RP(P), Gamma    FALSE #> 5559   348 0.5431772 0.107072485  fv Log-Normal      RP(P), Gamma    FALSE #> 5575   349 0.5982843 0.115709329  fv Log-Normal      RP(P), Gamma    FALSE #> 5591   350 0.7122423 0.135849723  fv Log-Normal      RP(P), Gamma    FALSE #> 5607   351 0.5011156 0.098603090  fv Log-Normal      RP(P), Gamma    FALSE #> 5623   352 0.7612241 0.144981811  fv Log-Normal      RP(P), Gamma    FALSE #> 5639   353 0.6852220 0.132046410  fv Log-Normal      RP(P), Gamma    FALSE #> 5655   354 0.5857311 0.113477028  fv Log-Normal      RP(P), Gamma    FALSE #> 5671   355 0.6652417 0.127193917  fv Log-Normal      RP(P), Gamma    FALSE #> 5687   356 0.6173133 0.120742547  fv Log-Normal      RP(P), Gamma    FALSE #> 5703   357 0.9043420 0.173016497  fv Log-Normal      RP(P), Gamma     TRUE #> 5719   358 0.6080989 0.117536852  fv Log-Normal      RP(P), Gamma    FALSE #> 5735   359 0.4819349 0.096115857  fv Log-Normal      RP(P), Gamma    FALSE #> 5751   360 0.5666892 0.109982691  fv Log-Normal      RP(P), Gamma    FALSE #> 5767   361 0.5681239 0.110789224  fv Log-Normal      RP(P), Gamma    FALSE #> 5783   362 0.6273366 0.122363810  fv Log-Normal      RP(P), Gamma    FALSE #> 5799   363 0.5816115 0.114102264  fv Log-Normal      RP(P), Gamma    FALSE #> 5815   364 0.6876475 0.130288820  fv Log-Normal      RP(P), Gamma    FALSE #> 5831   365 0.6489056 0.124382293  fv Log-Normal      RP(P), Gamma    FALSE #> 5847   366 0.5872749 0.113916746  fv Log-Normal      RP(P), Gamma    FALSE #> 5863   367 0.7316313 0.139986854  fv Log-Normal      RP(P), Gamma    FALSE #> 5879   368 0.8058332 0.151315932  fv Log-Normal      RP(P), Gamma    FALSE #> 5895   369 0.5094609 0.100121566  fv Log-Normal      RP(P), Gamma    FALSE #> 5911   370 0.6612134 0.126708507  fv Log-Normal      RP(P), Gamma    FALSE #> 5927   371 0.6350437 0.124249605  fv Log-Normal      RP(P), Gamma    FALSE #> 5943   372 0.4578136 0.091413362  fv Log-Normal      RP(P), Gamma    FALSE #> 5959   373 0.8627763 0.160868809  fv Log-Normal      RP(P), Gamma    FALSE #> 5975   374 0.5059833 0.100171027  fv Log-Normal      RP(P), Gamma    FALSE #> 5991   375 0.6308717 0.122756047  fv Log-Normal      RP(P), Gamma    FALSE #> 6007   376 0.6040654 0.116977417  fv Log-Normal      RP(P), Gamma    FALSE #> 6023   377 0.4763770 0.094353796  fv Log-Normal      RP(P), Gamma    FALSE #> 6039   378 0.5335836 0.104644051  fv Log-Normal      RP(P), Gamma    FALSE #> 6055   379 0.4834626 0.095929962  fv Log-Normal      RP(P), Gamma    FALSE #> 6071   380 0.5706786 0.110657205  fv Log-Normal      RP(P), Gamma    FALSE #> 6087   381 0.6870494 0.130888764  fv Log-Normal      RP(P), Gamma    FALSE #> 6103   382 0.6297807 0.121858418  fv Log-Normal      RP(P), Gamma    FALSE #> 6119   383 0.6695102 0.128506247  fv Log-Normal      RP(P), Gamma    FALSE #> 6135   384 0.5836747 0.112718407  fv Log-Normal      RP(P), Gamma    FALSE #> 6151   385 0.5061154 0.100209905  fv Log-Normal      RP(P), Gamma    FALSE #> 6167   386 0.7746371 0.147352863  fv Log-Normal      RP(P), Gamma    FALSE #> 6183   387 0.5793071 0.114012787  fv Log-Normal      RP(P), Gamma    FALSE #> 6199   388 0.7006456 0.132262925  fv Log-Normal      RP(P), Gamma    FALSE #> 6215   389 0.6591775 0.125828401  fv Log-Normal      RP(P), Gamma    FALSE #> 6231   390 0.5756189 0.112118694  fv Log-Normal      RP(P), Gamma    FALSE #> 6247   391 0.7166769 0.135906531  fv Log-Normal      RP(P), Gamma    FALSE #> 6263   392 0.5582759 0.109346080  fv Log-Normal      RP(P), Gamma    FALSE #> 6279   393 0.5188225 0.102003293  fv Log-Normal      RP(P), Gamma    FALSE #> 6295   394 0.8340129 0.157802893  fv Log-Normal      RP(P), Gamma    FALSE #> 6311   395 0.6561839 0.125677696  fv Log-Normal      RP(P), Gamma    FALSE #> 6327   396 0.8530720 0.159253424  fv Log-Normal      RP(P), Gamma    FALSE #> 6343   397 0.5767037 0.111714735  fv Log-Normal      RP(P), Gamma    FALSE #> 6359   398 0.5759109 0.111597778  fv Log-Normal      RP(P), Gamma    FALSE #> 6375   399 0.7355098 0.139897611  fv Log-Normal      RP(P), Gamma    FALSE #> 6391   400 0.4833498 0.096136542  fv Log-Normal      RP(P), Gamma    FALSE #> 6407   401 0.5287786 0.103547267  fv Log-Normal      RP(P), Gamma    FALSE #> 6423   402 0.4729205 0.094927871  fv Log-Normal      RP(P), Gamma    FALSE #> 6439   403 0.4768322 0.093865073  fv Log-Normal      RP(P), Gamma    FALSE #> 6455   404 0.5503689 0.108894551  fv Log-Normal      RP(P), Gamma    FALSE #> 6471   405 0.4675984 0.093559702  fv Log-Normal      RP(P), Gamma    FALSE #> 6487   406 0.5998105 0.115658274  fv Log-Normal      RP(P), Gamma    FALSE #> 6503   407 0.7071862 0.135917794  fv Log-Normal      RP(P), Gamma    FALSE #> 6519   408 0.4551711 0.092545500  fv Log-Normal      RP(P), Gamma    FALSE #> 6535   409 0.6003096 0.116002539  fv Log-Normal      RP(P), Gamma    FALSE #> 6551   410 0.7354522 0.141341112  fv Log-Normal      RP(P), Gamma    FALSE #> 6567   411 0.5842355 0.114276721  fv Log-Normal      RP(P), Gamma    FALSE #> 6583   412 0.6358926 0.123916656  fv Log-Normal      RP(P), Gamma    FALSE #> 6599   413 0.4809322 0.096109620  fv Log-Normal      RP(P), Gamma    FALSE #> 6615   414 0.8207219 0.154498864  fv Log-Normal      RP(P), Gamma    FALSE #> 6631   415 1.0478283 0.190504759  fv Log-Normal      RP(P), Gamma     TRUE #> 6647   416 0.5063546 0.100886285  fv Log-Normal      RP(P), Gamma    FALSE #> 6663   417 0.5075324 0.100029009  fv Log-Normal      RP(P), Gamma    FALSE #> 6679   418 0.7581325 0.142360888  fv Log-Normal      RP(P), Gamma    FALSE #> 6695   419 0.4093657 0.082325590  fv Log-Normal      RP(P), Gamma    FALSE #> 6711   420 0.6457404 0.124412096  fv Log-Normal      RP(P), Gamma    FALSE #> 6727   421 0.7234085 0.138143903  fv Log-Normal      RP(P), Gamma    FALSE #> 6743   422 0.5477184 0.108345673  fv Log-Normal      RP(P), Gamma    FALSE #> 6759   423 0.5300261 0.103870701  fv Log-Normal      RP(P), Gamma    FALSE #> 6775   424 0.5958915 0.115434340  fv Log-Normal      RP(P), Gamma    FALSE #> 6791   425 0.7100163 0.136393457  fv Log-Normal      RP(P), Gamma    FALSE #> 6807   426 0.7479045 0.142305623  fv Log-Normal      RP(P), Gamma    FALSE #> 6823   427 0.9319722 0.173864781  fv Log-Normal      RP(P), Gamma     TRUE #> 6839   428 0.7297775 0.139498288  fv Log-Normal      RP(P), Gamma    FALSE #> 6855   429 0.6427432 0.123394639  fv Log-Normal      RP(P), Gamma    FALSE #> 6871   430 0.7897896 0.149428903  fv Log-Normal      RP(P), Gamma    FALSE #> 6887   431 0.5758042 0.112117071  fv Log-Normal      RP(P), Gamma    FALSE #> 6903   432 0.7845424 0.148213986  fv Log-Normal      RP(P), Gamma    FALSE #> 6919   433 0.5083695 0.099715747  fv Log-Normal      RP(P), Gamma    FALSE #> 6935   434 0.5697794 0.111842649  fv Log-Normal      RP(P), Gamma    FALSE #> 6951   435 0.4351491 0.087346250  fv Log-Normal      RP(P), Gamma    FALSE #> 6967   436 0.6492604 0.124247657  fv Log-Normal      RP(P), Gamma    FALSE #> 6983   437 0.4988429 0.098454001  fv Log-Normal      RP(P), Gamma    FALSE #> 6999   438 0.7564725 0.143124263  fv Log-Normal      RP(P), Gamma    FALSE #> 7015   439 0.5207554 0.103025427  fv Log-Normal      RP(P), Gamma    FALSE #> 7031   440 0.4006907 0.082110901  fv Log-Normal      RP(P), Gamma    FALSE #> 7047   441 0.5223614 0.103142164  fv Log-Normal      RP(P), Gamma    FALSE #> 7063   442 0.6273843 0.121115548  fv Log-Normal      RP(P), Gamma    FALSE #> 7079   443 0.7123241 0.136178257  fv Log-Normal      RP(P), Gamma    FALSE #> 7095   444 0.8116075 0.154510279  fv Log-Normal      RP(P), Gamma    FALSE #> 7111   445 0.7520363 0.141861132  fv Log-Normal      RP(P), Gamma    FALSE #> 7127   446 0.5504050 0.107298726  fv Log-Normal      RP(P), Gamma    FALSE #> 7143   447 0.7152656 0.135495651  fv Log-Normal      RP(P), Gamma    FALSE #> 7159   448 0.7269417 0.137299228  fv Log-Normal      RP(P), Gamma    FALSE #> 7175   449 0.8130967 0.153586780  fv Log-Normal      RP(P), Gamma    FALSE #> 7191   450 0.5713784 0.110828743  fv Log-Normal      RP(P), Gamma    FALSE #> 7207   451 0.6855537 0.130631019  fv Log-Normal      RP(P), Gamma    FALSE #> 7223   452 0.6852773 0.130601824  fv Log-Normal      RP(P), Gamma    FALSE #> 7239   453 0.6419976 0.123417285  fv Log-Normal      RP(P), Gamma    FALSE #> 7255   454 0.5915648 0.114794688  fv Log-Normal      RP(P), Gamma    FALSE #> 7271   455 0.5989062 0.116767828  fv Log-Normal      RP(P), Gamma    FALSE #> 7287   456 0.4514905 0.090400569  fv Log-Normal      RP(P), Gamma    FALSE #> 7303   457 0.7626711 0.143657175  fv Log-Normal      RP(P), Gamma    FALSE #> 7319   458 0.6695412 0.129232733  fv Log-Normal      RP(P), Gamma    FALSE #> 7335   459 0.7901092 0.149271994  fv Log-Normal      RP(P), Gamma    FALSE #> 7351   460 0.5384375 0.104506896  fv Log-Normal      RP(P), Gamma    FALSE #> 7367   461 0.6738614 0.128328530  fv Log-Normal      RP(P), Gamma    FALSE #> 7383   462 0.5995043 0.115203166  fv Log-Normal      RP(P), Gamma    FALSE #> 7399   463 0.8008576 0.152482024  fv Log-Normal      RP(P), Gamma    FALSE #> 7415   464 0.6534097 0.124409356  fv Log-Normal      RP(P), Gamma    FALSE #> 7431   465 0.7405431 0.140658325  fv Log-Normal      RP(P), Gamma    FALSE #> 7447   466 0.7429010 0.141190155  fv Log-Normal      RP(P), Gamma    FALSE #> 7463   467 0.6592663 0.127357206  fv Log-Normal      RP(P), Gamma    FALSE #> 7479   468 0.7478064 0.140591623  fv Log-Normal      RP(P), Gamma    FALSE #> 7495   469 0.7980469 0.151851588  fv Log-Normal      RP(P), Gamma    FALSE #> 7511   470 0.6707510 0.129109794  fv Log-Normal      RP(P), Gamma    FALSE #> 7527   471 0.5195360 0.101809578  fv Log-Normal      RP(P), Gamma    FALSE #> 7543   472 0.7761691 0.146491082  fv Log-Normal      RP(P), Gamma    FALSE #> 7559   473 0.6077641 0.117774706  fv Log-Normal      RP(P), Gamma    FALSE #> 7575   474 0.8208932 0.153749136  fv Log-Normal      RP(P), Gamma    FALSE #> 7591   475 0.5398973 0.105059599  fv Log-Normal      RP(P), Gamma    FALSE #> 7607   476 0.4413755 0.088778916  fv Log-Normal      RP(P), Gamma    FALSE #> 7623   477 0.4970617 0.099301281  fv Log-Normal      RP(P), Gamma    FALSE #> 7639   478 0.6622706 0.125773445  fv Log-Normal      RP(P), Gamma    FALSE #> 7655   479 0.6789292 0.129891752  fv Log-Normal      RP(P), Gamma    FALSE #> 7671   480 0.9229350 0.172022096  fv Log-Normal      RP(P), Gamma     TRUE #> 7687   481 0.8684971 0.161812769  fv Log-Normal      RP(P), Gamma    FALSE #> 7703   482 0.6084379 0.117279552  fv Log-Normal      RP(P), Gamma    FALSE #> 7719   483 0.7379684 0.139763885  fv Log-Normal      RP(P), Gamma    FALSE #> 7735   484 0.7328743 0.138984469  fv Log-Normal      RP(P), Gamma    FALSE #> 7751   485 0.5262836 0.103060594  fv Log-Normal      RP(P), Gamma    FALSE #> 7767   486 0.3908574 0.078920916  fv Log-Normal      RP(P), Gamma    FALSE #> 7783   487 0.7438818 0.140375079  fv Log-Normal      RP(P), Gamma    FALSE #> 7799   488 0.3983944 0.080663557  fv Log-Normal      RP(P), Gamma    FALSE #> 7815   489 0.6557783 0.126320270  fv Log-Normal      RP(P), Gamma    FALSE #> 7831   490 0.6026455 0.116547326  fv Log-Normal      RP(P), Gamma    FALSE #> 7847   491 0.6247174 0.121016263  fv Log-Normal      RP(P), Gamma    FALSE #> 7863   492 0.4832708 0.095096379  fv Log-Normal      RP(P), Gamma    FALSE #> 7879   493 0.9574865 0.177139532  fv Log-Normal      RP(P), Gamma     TRUE #> 7895   494 0.6006230 0.115956493  fv Log-Normal      RP(P), Gamma    FALSE #> 7911   495 0.7155432 0.135390082  fv Log-Normal      RP(P), Gamma    FALSE #> 7927   496 0.8779148 0.162996545  fv Log-Normal      RP(P), Gamma    FALSE #> 7943   497 0.5217565 0.102371859  fv Log-Normal      RP(P), Gamma    FALSE #> 7959   498 0.6078818 0.118535765  fv Log-Normal      RP(P), Gamma    FALSE #> 7975   499 0.7589340 0.144470802  fv Log-Normal      RP(P), Gamma    FALSE #> 7991   500 0.6576165 0.127056728  fv Log-Normal      RP(P), Gamma    FALSE #> 8007   501 1.1934506 0.215189767  fv Log-Normal      RP(P), Gamma     TRUE #> 8023   502 0.7026905 0.134449675  fv Log-Normal      RP(P), Gamma    FALSE #> 8039   503 0.6461175 0.123792245  fv Log-Normal      RP(P), Gamma    FALSE #> 8055   504 0.7780519 0.146498296  fv Log-Normal      RP(P), Gamma    FALSE #> 8071   505 0.6050506 0.116115429  fv Log-Normal      RP(P), Gamma    FALSE #> 8087   506 0.8133249 0.152842454  fv Log-Normal      RP(P), Gamma    FALSE #> 8103   507 0.5879703 0.113085205  fv Log-Normal      RP(P), Gamma    FALSE #> 8119   508 0.5068504 0.101178044  fv Log-Normal      RP(P), Gamma    FALSE #> 8135   509 0.5746260 0.111451015  fv Log-Normal      RP(P), Gamma    FALSE #> 8151   510 0.5602904 0.108703773  fv Log-Normal      RP(P), Gamma    FALSE #> 8167   511 0.4046575 0.081300884  fv Log-Normal      RP(P), Gamma    FALSE #> 8183   512 0.5938522 0.114988561  fv Log-Normal      RP(P), Gamma    FALSE #> 8199   513 0.6468916 0.123938467  fv Log-Normal      RP(P), Gamma    FALSE #> 8215   514 0.6397314 0.123893154  fv Log-Normal      RP(P), Gamma    FALSE #> 8231   515 0.5028497 0.099639884  fv Log-Normal      RP(P), Gamma    FALSE #> 8247   516 0.6476726 0.124767612  fv Log-Normal      RP(P), Gamma    FALSE #> 8263   517 0.3325667 0.068670557  fv Log-Normal      RP(P), Gamma     TRUE #> 8279   518 0.6558678 0.125826549  fv Log-Normal      RP(P), Gamma    FALSE #> 8295   519 0.6732987 0.128685268  fv Log-Normal      RP(P), Gamma    FALSE #> 8311   520 0.6850792 0.130179158  fv Log-Normal      RP(P), Gamma    FALSE #> 8327   521 0.6370219 0.122012074  fv Log-Normal      RP(P), Gamma    FALSE #> 8343   522 0.4885136 0.096484117  fv Log-Normal      RP(P), Gamma    FALSE #> 8359   523 0.6496220 0.124197298  fv Log-Normal      RP(P), Gamma    FALSE #> 8375   524 0.5234049 0.104270802  fv Log-Normal      RP(P), Gamma    FALSE #> 8391   525 0.6765518 0.130414457  fv Log-Normal      RP(P), Gamma    FALSE #> 8407   526 0.5584063 0.109625927  fv Log-Normal      RP(P), Gamma    FALSE #> 8423   527 0.6834322 0.132081427  fv Log-Normal      RP(P), Gamma    FALSE #> 8439   528 0.7426000 0.140512963  fv Log-Normal      RP(P), Gamma    FALSE #> 8455   529 0.7934196 0.148789101  fv Log-Normal      RP(P), Gamma    FALSE #> 8471   530 0.3948235 0.080023161  fv Log-Normal      RP(P), Gamma    FALSE #> 8487   531 0.7875890 0.147558495  fv Log-Normal      RP(P), Gamma    FALSE #> 8503   532 0.6135217 0.117702935  fv Log-Normal      RP(P), Gamma    FALSE #> 8519   533 0.6120718 0.118048211  fv Log-Normal      RP(P), Gamma    FALSE #> 8535   534 0.6716551 0.129306507  fv Log-Normal      RP(P), Gamma    FALSE #> 8551   535 0.7335196 0.138512829  fv Log-Normal      RP(P), Gamma    FALSE #> 8567   536 0.5204424 0.102465629  fv Log-Normal      RP(P), Gamma    FALSE #> 8583   537 1.0379600 0.188908964  fv Log-Normal      RP(P), Gamma     TRUE #> 8599   538 0.4548943 0.090692268  fv Log-Normal      RP(P), Gamma    FALSE #> 8615   539 0.6713151 0.130815161  fv Log-Normal      RP(P), Gamma    FALSE #> 8631   540 0.5523580 0.107988775  fv Log-Normal      RP(P), Gamma    FALSE #> 8647   541 0.8042797 0.150903144  fv Log-Normal      RP(P), Gamma    FALSE #> 8663   542 0.6949027 0.132583092  fv Log-Normal      RP(P), Gamma    FALSE #> 8679   543 0.7476093 0.142469608  fv Log-Normal      RP(P), Gamma    FALSE #> 8695   544 0.6774908 0.129791800  fv Log-Normal      RP(P), Gamma    FALSE #> 8711   545 0.5143813 0.100902954  fv Log-Normal      RP(P), Gamma    FALSE #> 8727   546 0.8312447 0.156455946  fv Log-Normal      RP(P), Gamma    FALSE #> 8743   547 0.6121114 0.118650971  fv Log-Normal      RP(P), Gamma    FALSE #> 8759   548 0.5140565 0.102068375  fv Log-Normal      RP(P), Gamma    FALSE #> 8775   549 0.7348816 0.138826062  fv Log-Normal      RP(P), Gamma    FALSE #> 8791   550 0.5090552 0.102033236  fv Log-Normal      RP(P), Gamma    FALSE #> 8807   551 0.6688984 0.127755112  fv Log-Normal      RP(P), Gamma    FALSE #> 8823   552 0.6265386 0.120777429  fv Log-Normal      RP(P), Gamma    FALSE #> 8839   553 0.7047650 0.132991368  fv Log-Normal      RP(P), Gamma    FALSE #> 8855   554 0.8291163 0.157127475  fv Log-Normal      RP(P), Gamma    FALSE #> 8871   555 0.6850161 0.130269138  fv Log-Normal      RP(P), Gamma    FALSE #> 8887   556 0.7538022 0.142279468  fv Log-Normal      RP(P), Gamma    FALSE #> 8903   557 0.6250217 0.120230852  fv Log-Normal      RP(P), Gamma    FALSE #> 8919   558 0.6063746 0.117061554  fv Log-Normal      RP(P), Gamma    FALSE #> 8935   559 0.5429581 0.106505362  fv Log-Normal      RP(P), Gamma    FALSE #> 8951   560 0.7137899 0.135857490  fv Log-Normal      RP(P), Gamma    FALSE #> 8967   561 1.0273063 0.187917372  fv Log-Normal      RP(P), Gamma     TRUE #> 8983   562 0.7434955 0.141140034  fv Log-Normal      RP(P), Gamma    FALSE #> 8999   563 0.6801410 0.129591934  fv Log-Normal      RP(P), Gamma    FALSE #> 9015   564 0.5086320 0.099547959  fv Log-Normal      RP(P), Gamma    FALSE #> 9031   565 0.5188484 0.102466411  fv Log-Normal      RP(P), Gamma    FALSE #> 9047   566 0.6244033 0.120264371  fv Log-Normal      RP(P), Gamma    FALSE #> 9063   567 0.5979873 0.115359367  fv Log-Normal      RP(P), Gamma    FALSE #> 9079   568 0.4721114 0.093701853  fv Log-Normal      RP(P), Gamma    FALSE #> 9095   569 0.7965129 0.150098223  fv Log-Normal      RP(P), Gamma    FALSE #> 9111   570 0.4628960 0.091470885  fv Log-Normal      RP(P), Gamma    FALSE #> 9127   571 0.5842951 0.112728421  fv Log-Normal      RP(P), Gamma    FALSE #> 9143   572 0.5708745 0.111699420  fv Log-Normal      RP(P), Gamma    FALSE #> 9159   573 0.5750242 0.111902694  fv Log-Normal      RP(P), Gamma    FALSE #> 9175   574 0.6440778 0.123736426  fv Log-Normal      RP(P), Gamma    FALSE #> 9191   575 0.5468114 0.107030650  fv Log-Normal      RP(P), Gamma    FALSE #> 9207   576 0.5554273 0.108360345  fv Log-Normal      RP(P), Gamma    FALSE #> 9223   577 0.9266912 0.174564789  fv Log-Normal      RP(P), Gamma     TRUE #> 9239   578 0.5261017 0.103127649  fv Log-Normal      RP(P), Gamma    FALSE #> 9255   579 0.5387574 0.106274310  fv Log-Normal      RP(P), Gamma    FALSE #> 9271   580 0.4707019 0.094408535  fv Log-Normal      RP(P), Gamma    FALSE #> 9287   581 0.6504271 0.124298433  fv Log-Normal      RP(P), Gamma    FALSE #> 9303   582 0.6775845 0.129556677  fv Log-Normal      RP(P), Gamma    FALSE #> 9319   583 0.8861042 0.163642549  fv Log-Normal      RP(P), Gamma    FALSE #> 9335   584 0.5002307 0.099003587  fv Log-Normal      RP(P), Gamma    FALSE #> 9351   585 0.6170829 0.118479185  fv Log-Normal      RP(P), Gamma    FALSE #> 9367   586 0.6901922 0.132247790  fv Log-Normal      RP(P), Gamma    FALSE #> 9383   587 0.8271364 0.156625337  fv Log-Normal      RP(P), Gamma    FALSE #> 9399   588 0.4991248 0.098354530  fv Log-Normal      RP(P), Gamma    FALSE #> 9415   589 0.5658254 0.110527743  fv Log-Normal      RP(P), Gamma    FALSE #> 9431   590 0.6760460 0.129168104  fv Log-Normal      RP(P), Gamma    FALSE #> 9447   591 0.7096084 0.134844438  fv Log-Normal      RP(P), Gamma    FALSE #> 9463   592 0.6397263 0.122142964  fv Log-Normal      RP(P), Gamma    FALSE #> 9479   593 0.8485950 0.159290802  fv Log-Normal      RP(P), Gamma    FALSE #> 9495   594 0.5980829 0.115005110  fv Log-Normal      RP(P), Gamma    FALSE #> 9511   595 0.4900971 0.096783028  fv Log-Normal      RP(P), Gamma    FALSE #> 9527   596 0.7574788 0.147358757  fv Log-Normal      RP(P), Gamma    FALSE #> 9543   597 0.5555007 0.108764648  fv Log-Normal      RP(P), Gamma    FALSE #> 9559   598 0.8869603 0.164652912  fv Log-Normal      RP(P), Gamma    FALSE #> 9575   599 0.7172531 0.139602364  fv Log-Normal      RP(P), Gamma    FALSE #> 9591   600 0.4875005 0.096751810  fv Log-Normal      RP(P), Gamma    FALSE #> 9607   601 1.0034908 0.185067542  fv Log-Normal      RP(P), Gamma     TRUE #> 9623   602 0.9315667 0.173569567  fv Log-Normal      RP(P), Gamma     TRUE #> 9639   603 0.3891561 0.079134558  fv Log-Normal      RP(P), Gamma    FALSE #> 9655   604 0.6831090 0.130655727  fv Log-Normal      RP(P), Gamma    FALSE #> 9671   605 1.2021178 0.217657229  fv Log-Normal      RP(P), Gamma     TRUE #> 9687   606 0.6513685 0.125714802  fv Log-Normal      RP(P), Gamma    FALSE #> 9703   607 0.5322629 0.105264233  fv Log-Normal      RP(P), Gamma    FALSE #> 9719   608 0.3897829 0.078912911  fv Log-Normal      RP(P), Gamma    FALSE #> 9735   609 0.7388302 0.139633573  fv Log-Normal      RP(P), Gamma    FALSE #> 9751   610 0.5779827 0.112718737  fv Log-Normal      RP(P), Gamma    FALSE #> 9767   611 0.7309416 0.140033806  fv Log-Normal      RP(P), Gamma    FALSE #> 9783   612 0.4843671 0.095423699  fv Log-Normal      RP(P), Gamma    FALSE #> 9799   613 0.6706920 0.127546045  fv Log-Normal      RP(P), Gamma    FALSE #> 9815   614 0.6183168 0.118772783  fv Log-Normal      RP(P), Gamma    FALSE #> 9831   615 0.7045260 0.133355951  fv Log-Normal      RP(P), Gamma    FALSE #> 9847   616 0.6489493 0.123879789  fv Log-Normal      RP(P), Gamma    FALSE #> 9863   617 0.6632689 0.126921727  fv Log-Normal      RP(P), Gamma    FALSE #> 9879   618 0.6334784 0.123145460  fv Log-Normal      RP(P), Gamma    FALSE #> 9895   619 0.7035638 0.133736565  fv Log-Normal      RP(P), Gamma    FALSE #> 9911   620 0.7020430 0.134210585  fv Log-Normal      RP(P), Gamma    FALSE #> 9927   621 0.4819005 0.094952770  fv Log-Normal      RP(P), Gamma    FALSE #> 9943   622 0.5397034 0.105579639  fv Log-Normal      RP(P), Gamma    FALSE #> 9959   623 0.7881921 0.149884077  fv Log-Normal      RP(P), Gamma    FALSE #> 9975   624 0.5203504 0.102733074  fv Log-Normal      RP(P), Gamma    FALSE #> 9991   625 0.6837447 0.131406762  fv Log-Normal      RP(P), Gamma    FALSE #> 10007  626 0.5549372 0.108180877  fv Log-Normal      RP(P), Gamma    FALSE #> 10023  627 0.5179683 0.101178304  fv Log-Normal      RP(P), Gamma    FALSE #> 10039  628 0.6020692 0.118086101  fv Log-Normal      RP(P), Gamma    FALSE #> 10055  629 0.6000282 0.116646938  fv Log-Normal      RP(P), Gamma    FALSE #> 10071  630 0.7279731 0.137843137  fv Log-Normal      RP(P), Gamma    FALSE #> 10087  631 0.6027202 0.116593410  fv Log-Normal      RP(P), Gamma    FALSE #> 10103  632 0.6537910 0.125818670  fv Log-Normal      RP(P), Gamma    FALSE #> 10119  633 0.4513900 0.090185550  fv Log-Normal      RP(P), Gamma    FALSE #> 10135  634 0.5375152 0.105208433  fv Log-Normal      RP(P), Gamma    FALSE #> 10151  635 0.7997065 0.151945464  fv Log-Normal      RP(P), Gamma    FALSE #> 10167  636 0.3688985 0.074968576  fv Log-Normal      RP(P), Gamma     TRUE #> 10183  637 0.8181358 0.153742550  fv Log-Normal      RP(P), Gamma    FALSE #> 10199  638 0.6190300 0.120041647  fv Log-Normal      RP(P), Gamma    FALSE #> 10215  639 0.4075020 0.082684708  fv Log-Normal      RP(P), Gamma    FALSE #> 10231  640 0.6079183 0.117406864  fv Log-Normal      RP(P), Gamma    FALSE #> 10247  641 0.5327102 0.105110772  fv Log-Normal      RP(P), Gamma    FALSE #> 10263  642 0.5627774 0.109736079  fv Log-Normal      RP(P), Gamma    FALSE #> 10279  643 0.6140868 0.118512864  fv Log-Normal      RP(P), Gamma    FALSE #> 10295  644 0.5859136 0.113867905  fv Log-Normal      RP(P), Gamma    FALSE #> 10311  645 0.7201751 0.137426049  fv Log-Normal      RP(P), Gamma    FALSE #> 10327  646        NA          NA  fv Log-Normal      RP(P), Gamma       NA #> 10343  647 0.5681908 0.110136754  fv Log-Normal      RP(P), Gamma    FALSE #> 10359  648 0.9305917 0.172374754  fv Log-Normal      RP(P), Gamma     TRUE #> 10375  649 0.5485075 0.107764779  fv Log-Normal      RP(P), Gamma    FALSE #> 10391  650 0.7601556 0.143756671  fv Log-Normal      RP(P), Gamma    FALSE #> 10407  651 0.6466322 0.123731016  fv Log-Normal      RP(P), Gamma    FALSE #> 10423  652 1.0102019 0.184233698  fv Log-Normal      RP(P), Gamma     TRUE #> 10439  653 0.4677185 0.093001021  fv Log-Normal      RP(P), Gamma    FALSE #> 10455  654 0.5012781 0.099290261  fv Log-Normal      RP(P), Gamma    FALSE #> 10471  655 0.6184514 0.119322143  fv Log-Normal      RP(P), Gamma    FALSE #> 10487  656 0.5893034 0.114337156  fv Log-Normal      RP(P), Gamma    FALSE #> 10503  657 0.4700947 0.093330712  fv Log-Normal      RP(P), Gamma    FALSE #> 10519  658 0.9548714 0.176352345  fv Log-Normal      RP(P), Gamma     TRUE #> 10535  659 0.9221158 0.172214444  fv Log-Normal      RP(P), Gamma     TRUE #> 10551  660 0.6906597 0.131068552  fv Log-Normal      RP(P), Gamma    FALSE #> 10567  661 0.4580311 0.090771001  fv Log-Normal      RP(P), Gamma    FALSE #> 10583  662 0.5164133 0.101474521  fv Log-Normal      RP(P), Gamma    FALSE #> 10599  663 0.5910451 0.114456254  fv Log-Normal      RP(P), Gamma    FALSE #> 10615  664 0.6069571 0.116792001  fv Log-Normal      RP(P), Gamma    FALSE #> 10631  665 0.7872832 0.148967481  fv Log-Normal      RP(P), Gamma    FALSE #> 10647  666 0.9872431 0.180995966  fv Log-Normal      RP(P), Gamma     TRUE #> 10663  667 0.5861609 0.113728094  fv Log-Normal      RP(P), Gamma    FALSE #> 10679  668 0.5965077 0.116224148  fv Log-Normal      RP(P), Gamma    FALSE #> 10695  669 0.7858658 0.148111774  fv Log-Normal      RP(P), Gamma    FALSE #> 10711  670 0.5644456 0.111070175  fv Log-Normal      RP(P), Gamma    FALSE #> 10727  671 0.7257817 0.138317915  fv Log-Normal      RP(P), Gamma    FALSE #> 10743  672 0.8699537 0.162873189  fv Log-Normal      RP(P), Gamma    FALSE #> 10759  673        NA          NA  fv Log-Normal      RP(P), Gamma       NA #> 10775  674 0.7477157 0.142416167  fv Log-Normal      RP(P), Gamma    FALSE #> 10791  675 0.5433898 0.107245880  fv Log-Normal      RP(P), Gamma    FALSE #> 10807  676 0.8399640 0.157547560  fv Log-Normal      RP(P), Gamma    FALSE #> 10823  677 0.6227503 0.120604554  fv Log-Normal      RP(P), Gamma    FALSE #> 10839  678 0.5245707 0.103511296  fv Log-Normal      RP(P), Gamma    FALSE #> 10855  679 0.5837353 0.114105618  fv Log-Normal      RP(P), Gamma    FALSE #> 10871  680 0.6687400 0.128093769  fv Log-Normal      RP(P), Gamma    FALSE #> 10887  681 0.8689437 0.162084794  fv Log-Normal      RP(P), Gamma    FALSE #> 10903  682 0.5411130 0.105287312  fv Log-Normal      RP(P), Gamma    FALSE #> 10919  683 0.7576341 0.145307823  fv Log-Normal      RP(P), Gamma    FALSE #> 10935  684 0.9589529 0.177509901  fv Log-Normal      RP(P), Gamma     TRUE #> 10951  685 0.5633214 0.109342344  fv Log-Normal      RP(P), Gamma    FALSE #> 10967  686 0.8200752 0.154050410  fv Log-Normal      RP(P), Gamma    FALSE #> 10983  687 0.5295936 0.103602159  fv Log-Normal      RP(P), Gamma    FALSE #> 10999  688 0.5361570 0.105208722  fv Log-Normal      RP(P), Gamma    FALSE #> 11015  689 0.5920704 0.115501697  fv Log-Normal      RP(P), Gamma    FALSE #> 11031  690 0.7275334 0.138140884  fv Log-Normal      RP(P), Gamma    FALSE #> 11047  691 0.7479373 0.145837123  fv Log-Normal      RP(P), Gamma    FALSE #> 11063  692 0.5492636 0.106737488  fv Log-Normal      RP(P), Gamma    FALSE #> 11079  693 0.4530186 0.090401153  fv Log-Normal      RP(P), Gamma    FALSE #> 11095  694 0.6821877 0.130885389  fv Log-Normal      RP(P), Gamma    FALSE #> 11111  695 0.5561848 0.108503923  fv Log-Normal      RP(P), Gamma    FALSE #> 11127  696 0.6698984 0.127785352  fv Log-Normal      RP(P), Gamma    FALSE #> 11143  697 0.8044238 0.152341904  fv Log-Normal      RP(P), Gamma    FALSE #> 11159  698 0.4029591 0.081215489  fv Log-Normal      RP(P), Gamma    FALSE #> 11175  699 0.6220318 0.120794862  fv Log-Normal      RP(P), Gamma    FALSE #> 11191  700 0.4838667 0.095650738  fv Log-Normal      RP(P), Gamma    FALSE #> 11207  701 0.7141305 0.135782693  fv Log-Normal      RP(P), Gamma    FALSE #> 11223  702 0.7876228 0.150480099  fv Log-Normal      RP(P), Gamma    FALSE #> 11239  703 0.6834653 0.131044510  fv Log-Normal      RP(P), Gamma    FALSE #> 11255  704 0.6006202 0.117032734  fv Log-Normal      RP(P), Gamma    FALSE #> 11271  705 0.5825614 0.112553700  fv Log-Normal      RP(P), Gamma    FALSE #> 11287  706 0.6462783 0.123967447  fv Log-Normal      RP(P), Gamma    FALSE #> 11303  707 0.7719009 0.144912433  fv Log-Normal      RP(P), Gamma    FALSE #> 11319  708 0.7589118 0.142597681  fv Log-Normal      RP(P), Gamma    FALSE #> 11335  709 0.7050173 0.137776068  fv Log-Normal      RP(P), Gamma    FALSE #> 11351  710 0.4858904 0.096616911  fv Log-Normal      RP(P), Gamma    FALSE #> 11367  711 0.6714817 0.132119633  fv Log-Normal      RP(P), Gamma    FALSE #> 11383  712 0.6359158 0.122551215  fv Log-Normal      RP(P), Gamma    FALSE #> 11399  713 0.8791749 0.164312628  fv Log-Normal      RP(P), Gamma    FALSE #> 11415  714 0.7282695 0.139130739  fv Log-Normal      RP(P), Gamma    FALSE #> 11431  715 0.6771839 0.128896557  fv Log-Normal      RP(P), Gamma    FALSE #> 11447  716 0.6207014 0.118958633  fv Log-Normal      RP(P), Gamma    FALSE #> 11463  717 0.6726106 0.128777566  fv Log-Normal      RP(P), Gamma    FALSE #> 11479  718 0.7884210 0.149205688  fv Log-Normal      RP(P), Gamma    FALSE #> 11495  719 0.9354300 0.174953745  fv Log-Normal      RP(P), Gamma     TRUE #> 11511  720 0.6328266 0.120907672  fv Log-Normal      RP(P), Gamma    FALSE #> 11527  721 0.5089454 0.100114135  fv Log-Normal      RP(P), Gamma    FALSE #> 11543  722 0.7041724 0.133806495  fv Log-Normal      RP(P), Gamma    FALSE #> 11559  723 0.5814509 0.113499196  fv Log-Normal      RP(P), Gamma    FALSE #> 11575  724 0.6792830 0.131396754  fv Log-Normal      RP(P), Gamma    FALSE #> 11591  725 0.6745890 0.128900101  fv Log-Normal      RP(P), Gamma    FALSE #> 11607  726 0.5696167 0.111100388  fv Log-Normal      RP(P), Gamma    FALSE #> 11623  727 0.6978610 0.132614516  fv Log-Normal      RP(P), Gamma    FALSE #> 11639  728 0.9034155 0.167348520  fv Log-Normal      RP(P), Gamma    FALSE #> 11655  729 0.6633172 0.127045130  fv Log-Normal      RP(P), Gamma    FALSE #> 11671  730 0.7354073 0.139683994  fv Log-Normal      RP(P), Gamma    FALSE #> 11687  731 0.4588272 0.091441953  fv Log-Normal      RP(P), Gamma    FALSE #> 11703  732 0.3973257 0.079866721  fv Log-Normal      RP(P), Gamma    FALSE #> 11719  733 0.7814645 0.146827178  fv Log-Normal      RP(P), Gamma    FALSE #> 11735  734 0.7249903 0.137092513  fv Log-Normal      RP(P), Gamma    FALSE #> 11751  735 0.8071961 0.150405379  fv Log-Normal      RP(P), Gamma    FALSE #> 11767  736 0.7304049 0.138624944  fv Log-Normal      RP(P), Gamma    FALSE #> 11783  737 0.6499469 0.124179968  fv Log-Normal      RP(P), Gamma    FALSE #> 11799  738 0.5145282 0.102065122  fv Log-Normal      RP(P), Gamma    FALSE #> 11815  739 0.5378257 0.105378663  fv Log-Normal      RP(P), Gamma    FALSE #> 11831  740 0.7258771 0.138116188  fv Log-Normal      RP(P), Gamma    FALSE #> 11847  741 0.7920583 0.148213635  fv Log-Normal      RP(P), Gamma    FALSE #> 11863  742 0.5970828 0.115587617  fv Log-Normal      RP(P), Gamma    FALSE #> 11879  743 0.6394701 0.122627568  fv Log-Normal      RP(P), Gamma    FALSE #> 11895  744 0.6091485 0.117450392  fv Log-Normal      RP(P), Gamma    FALSE #> 11911  745 0.6261920 0.120351132  fv Log-Normal      RP(P), Gamma    FALSE #> 11927  746 0.6135938 0.122447852  fv Log-Normal      RP(P), Gamma    FALSE #> 11943  747 0.5673960 0.110262652  fv Log-Normal      RP(P), Gamma    FALSE #> 11959  748 0.8174448 0.154866402  fv Log-Normal      RP(P), Gamma    FALSE #> 11975  749 0.8885850 0.166289328  fv Log-Normal      RP(P), Gamma    FALSE #> 11991  750 0.6699179 0.128164911  fv Log-Normal      RP(P), Gamma    FALSE #> 12007  751 0.7705349 0.145197488  fv Log-Normal      RP(P), Gamma    FALSE #> 12023  752 0.6450425 0.126445127  fv Log-Normal      RP(P), Gamma    FALSE #> 12039  753 0.4026709 0.081871038  fv Log-Normal      RP(P), Gamma    FALSE #> 12055  754 0.6467650 0.123887308  fv Log-Normal      RP(P), Gamma    FALSE #> 12071  755 0.5962017 0.115578760  fv Log-Normal      RP(P), Gamma    FALSE #> 12087  756 0.3445761 0.070995077  fv Log-Normal      RP(P), Gamma     TRUE #> 12103  757 0.6404506 0.123358322  fv Log-Normal      RP(P), Gamma    FALSE #> 12119  758 0.6790225 0.129965624  fv Log-Normal      RP(P), Gamma    FALSE #> 12135  759 0.5793013 0.112522796  fv Log-Normal      RP(P), Gamma    FALSE #> 12151  760 0.8538180 0.161150772  fv Log-Normal      RP(P), Gamma    FALSE #> 12167  761 0.5461966 0.107166035  fv Log-Normal      RP(P), Gamma    FALSE #> 12183  762 0.7113599 0.136036958  fv Log-Normal      RP(P), Gamma    FALSE #> 12199  763 0.5127570 0.101335906  fv Log-Normal      RP(P), Gamma    FALSE #> 12215  764 0.5758858 0.111788456  fv Log-Normal      RP(P), Gamma    FALSE #> 12231  765 0.7675959 0.144097832  fv Log-Normal      RP(P), Gamma    FALSE #> 12247  766 0.5609105 0.108690460  fv Log-Normal      RP(P), Gamma    FALSE #> 12263  767 0.7365808 0.139483235  fv Log-Normal      RP(P), Gamma    FALSE #> 12279  768 0.4824173 0.095129579  fv Log-Normal      RP(P), Gamma    FALSE #> 12295  769 0.8394776 0.157050045  fv Log-Normal      RP(P), Gamma    FALSE #> 12311  770 0.5206753 0.102467205  fv Log-Normal      RP(P), Gamma    FALSE #> 12327  771 0.5324155 0.106859081  fv Log-Normal      RP(P), Gamma    FALSE #> 12343  772 0.5028216 0.098894975  fv Log-Normal      RP(P), Gamma    FALSE #> 12359  773 0.5634591 0.111361709  fv Log-Normal      RP(P), Gamma    FALSE #> 12375  774 0.6726680 0.129487861  fv Log-Normal      RP(P), Gamma    FALSE #> 12391  775 0.6117312 0.118219973  fv Log-Normal      RP(P), Gamma    FALSE #> 12407  776 0.5611248 0.108670367  fv Log-Normal      RP(P), Gamma    FALSE #> 12423  777 0.5629907 0.109897969  fv Log-Normal      RP(P), Gamma    FALSE #> 12439  778 0.5298195 0.103885618  fv Log-Normal      RP(P), Gamma    FALSE #> 12455  779 0.5462480 0.106788201  fv Log-Normal      RP(P), Gamma    FALSE #> 12471  780 0.5444594 0.106379957  fv Log-Normal      RP(P), Gamma    FALSE #> 12487  781 0.6444463 0.124004297  fv Log-Normal      RP(P), Gamma    FALSE #> 12503  782 0.5443616 0.106294312  fv Log-Normal      RP(P), Gamma    FALSE #> 12519  783 0.5651637 0.110239835  fv Log-Normal      RP(P), Gamma    FALSE #> 12535  784 0.7141628 0.136152496  fv Log-Normal      RP(P), Gamma    FALSE #> 12551  785 0.4331883 0.086467176  fv Log-Normal      RP(P), Gamma    FALSE #> 12567  786 0.5881396 0.114710602  fv Log-Normal      RP(P), Gamma    FALSE #> 12583  787 0.8314603 0.155149305  fv Log-Normal      RP(P), Gamma    FALSE #> 12599  788 0.6241300 0.120299910  fv Log-Normal      RP(P), Gamma    FALSE #> 12615  789 0.7653722 0.144630922  fv Log-Normal      RP(P), Gamma    FALSE #> 12631  790 0.6111340 0.117710305  fv Log-Normal      RP(P), Gamma    FALSE #> 12647  791 0.3753609 0.075903655  fv Log-Normal      RP(P), Gamma     TRUE #> 12663  792 0.5553672 0.110018225  fv Log-Normal      RP(P), Gamma    FALSE #> 12679  793 0.7380648 0.139320411  fv Log-Normal      RP(P), Gamma    FALSE #> 12695  794 0.6753683 0.133256274  fv Log-Normal      RP(P), Gamma    FALSE #> 12711  795 0.5768839 0.112455428  fv Log-Normal      RP(P), Gamma    FALSE #> 12727  796 0.5128957 0.100971449  fv Log-Normal      RP(P), Gamma    FALSE #> 12743  797 0.5171431 0.101337411  fv Log-Normal      RP(P), Gamma    FALSE #> 12759  798 0.4026960 0.081677375  fv Log-Normal      RP(P), Gamma    FALSE #> 12775  799 0.6303514 0.120628692  fv Log-Normal      RP(P), Gamma    FALSE #> 12791  800 0.6501893 0.125184344  fv Log-Normal      RP(P), Gamma    FALSE #> 12807  801 0.9250278 0.172573485  fv Log-Normal      RP(P), Gamma     TRUE #> 12823  802 0.6252328 0.119546062  fv Log-Normal      RP(P), Gamma    FALSE #> 12839  803 0.6134816 0.118753122  fv Log-Normal      RP(P), Gamma    FALSE #> 12855  804 0.6678647 0.127903390  fv Log-Normal      RP(P), Gamma    FALSE #> 12871  805 0.8631726 0.164708763  fv Log-Normal      RP(P), Gamma    FALSE #> 12887  806 0.8331630 0.159110944  fv Log-Normal      RP(P), Gamma    FALSE #> 12903  807 0.6846960 0.136036587  fv Log-Normal      RP(P), Gamma    FALSE #> 12919  808 0.4612360 0.091479967  fv Log-Normal      RP(P), Gamma    FALSE #> 12935  809 0.5738387 0.111513989  fv Log-Normal      RP(P), Gamma    FALSE #> 12951  810 0.6283526 0.120695686  fv Log-Normal      RP(P), Gamma    FALSE #> 12967  811 0.4109691 0.082520063  fv Log-Normal      RP(P), Gamma    FALSE #> 12983  812 0.6375459 0.123083940  fv Log-Normal      RP(P), Gamma    FALSE #> 12999  813 0.7069596 0.133763426  fv Log-Normal      RP(P), Gamma    FALSE #> 13015  814 0.6129295 0.118654574  fv Log-Normal      RP(P), Gamma    FALSE #> 13031  815 0.5429190 0.107859435  fv Log-Normal      RP(P), Gamma    FALSE #> 13047  816 0.5861718 0.113598258  fv Log-Normal      RP(P), Gamma    FALSE #> 13063  817 0.4079590 0.082085894  fv Log-Normal      RP(P), Gamma    FALSE #> 13079  818 0.6366459 0.124630856  fv Log-Normal      RP(P), Gamma    FALSE #> 13095  819 0.7049751 0.133589547  fv Log-Normal      RP(P), Gamma    FALSE #> 13111  820 0.8116920 0.153995715  fv Log-Normal      RP(P), Gamma    FALSE #> 13127  821 0.4937436 0.097102999  fv Log-Normal      RP(P), Gamma    FALSE #> 13143  822 0.8114681 0.152991774  fv Log-Normal      RP(P), Gamma    FALSE #> 13159  823 0.9386106 0.175718415  fv Log-Normal      RP(P), Gamma     TRUE #> 13175  824 0.7808530 0.147394509  fv Log-Normal      RP(P), Gamma    FALSE #> 13191  825 0.7047845 0.134917093  fv Log-Normal      RP(P), Gamma    FALSE #> 13207  826 0.7088981 0.135782107  fv Log-Normal      RP(P), Gamma    FALSE #> 13223  827 0.8137925 0.154712370  fv Log-Normal      RP(P), Gamma    FALSE #> 13239  828 0.5961539 0.116832078  fv Log-Normal      RP(P), Gamma    FALSE #> 13255  829 0.6508909 0.125234317  fv Log-Normal      RP(P), Gamma    FALSE #> 13271  830 0.7521623 0.142500178  fv Log-Normal      RP(P), Gamma    FALSE #> 13287  831 0.6926346 0.131352292  fv Log-Normal      RP(P), Gamma    FALSE #> 13303  832 0.4914520 0.097328337  fv Log-Normal      RP(P), Gamma    FALSE #> 13319  833 0.7543088 0.142866110  fv Log-Normal      RP(P), Gamma    FALSE #> 13335  834 0.5803865 0.113194461  fv Log-Normal      RP(P), Gamma    FALSE #> 13351  835 0.6213117 0.120310790  fv Log-Normal      RP(P), Gamma    FALSE #> 13367  836 0.6794638 0.130019762  fv Log-Normal      RP(P), Gamma    FALSE #> 13383  837 0.7571700 0.144029552  fv Log-Normal      RP(P), Gamma    FALSE #> 13399  838 0.6022522 0.116527948  fv Log-Normal      RP(P), Gamma    FALSE #> 13415  839 0.5678387 0.111762360  fv Log-Normal      RP(P), Gamma    FALSE #> 13431  840 0.5794574 0.112732652  fv Log-Normal      RP(P), Gamma    FALSE #> 13447  841 0.9027367 0.169264440  fv Log-Normal      RP(P), Gamma     TRUE #> 13463  842 0.4945054 0.097465716  fv Log-Normal      RP(P), Gamma    FALSE #> 13479  843 0.6164251 0.120453087  fv Log-Normal      RP(P), Gamma    FALSE #> 13495  844 0.7770622 0.145721886  fv Log-Normal      RP(P), Gamma    FALSE #> 13511  845 0.8054185 0.151160755  fv Log-Normal      RP(P), Gamma    FALSE #> 13527  846 0.4947152 0.097800871  fv Log-Normal      RP(P), Gamma    FALSE #> 13543  847 0.8873520 0.164465959  fv Log-Normal      RP(P), Gamma    FALSE #> 13559  848 0.6732286 0.128419353  fv Log-Normal      RP(P), Gamma    FALSE #> 13575  849 0.5501974 0.107615525  fv Log-Normal      RP(P), Gamma    FALSE #> 13591  850 0.7657343 0.145271938  fv Log-Normal      RP(P), Gamma    FALSE #> 13607  851 0.5838296 0.112816077  fv Log-Normal      RP(P), Gamma    FALSE #> 13623  852 0.6089890 0.117360510  fv Log-Normal      RP(P), Gamma    FALSE #> 13639  853 0.8570792 0.158811310  fv Log-Normal      RP(P), Gamma    FALSE #> 13655  854 0.6181706 0.120058291  fv Log-Normal      RP(P), Gamma    FALSE #> 13671  855 0.5443013 0.106559331  fv Log-Normal      RP(P), Gamma    FALSE #> 13687  856 0.7619340 0.144167343  fv Log-Normal      RP(P), Gamma    FALSE #> 13703  857 0.7054784 0.134681813  fv Log-Normal      RP(P), Gamma    FALSE #> 13719  858 0.8737770 0.162469522  fv Log-Normal      RP(P), Gamma    FALSE #> 13735  859 0.8436609 0.158355957  fv Log-Normal      RP(P), Gamma    FALSE #> 13751  860 0.6203294 0.120462203  fv Log-Normal      RP(P), Gamma    FALSE #> 13767  861 0.4246650 0.085201724  fv Log-Normal      RP(P), Gamma    FALSE #> 13783  862 0.5717094 0.110974928  fv Log-Normal      RP(P), Gamma    FALSE #> 13799  863 0.5930878 0.114981994  fv Log-Normal      RP(P), Gamma    FALSE #> 13815  864 0.7889726 0.148845738  fv Log-Normal      RP(P), Gamma    FALSE #> 13831  865 0.8396676 0.157504805  fv Log-Normal      RP(P), Gamma    FALSE #> 13847  866 0.7315134 0.140372989  fv Log-Normal      RP(P), Gamma    FALSE #> 13863  867 0.5339683 0.105161674  fv Log-Normal      RP(P), Gamma    FALSE #> 13879  868 0.8342745 0.157649889  fv Log-Normal      RP(P), Gamma    FALSE #> 13895  869 0.4553345 0.090508558  fv Log-Normal      RP(P), Gamma    FALSE #> 13911  870 0.7264093 0.138973381  fv Log-Normal      RP(P), Gamma    FALSE #> 13927  871 0.4569173 0.091103928  fv Log-Normal      RP(P), Gamma    FALSE #> 13943  872 0.4280552 0.086058153  fv Log-Normal      RP(P), Gamma    FALSE #> 13959  873 0.7410597 0.139690887  fv Log-Normal      RP(P), Gamma    FALSE #> 13975  874 0.6408185 0.123644052  fv Log-Normal      RP(P), Gamma    FALSE #> 13991  875 0.5388062 0.104971339  fv Log-Normal      RP(P), Gamma    FALSE #> 14007  876 0.5538235 0.108515653  fv Log-Normal      RP(P), Gamma    FALSE #> 14023  877 0.5173804 0.102558125  fv Log-Normal      RP(P), Gamma    FALSE #> 14039  878 0.6131328 0.119010688  fv Log-Normal      RP(P), Gamma    FALSE #> 14055  879 0.6097417 0.118099906  fv Log-Normal      RP(P), Gamma    FALSE #> 14071  880 0.7281233 0.137755819  fv Log-Normal      RP(P), Gamma    FALSE #> 14087  881 0.4819108 0.095257938  fv Log-Normal      RP(P), Gamma    FALSE #> 14103  882 0.6543178 0.126842054  fv Log-Normal      RP(P), Gamma    FALSE #> 14119  883 0.5607813 0.109303367  fv Log-Normal      RP(P), Gamma    FALSE #> 14135  884 0.4932391 0.097437433  fv Log-Normal      RP(P), Gamma    FALSE #> 14151  885 0.6588153 0.126232716  fv Log-Normal      RP(P), Gamma    FALSE #> 14167  886 0.5743023 0.112137457  fv Log-Normal      RP(P), Gamma    FALSE #> 14183  887 0.3462275 0.071202207  fv Log-Normal      RP(P), Gamma     TRUE #> 14199  888 0.5389566 0.105124924  fv Log-Normal      RP(P), Gamma    FALSE #> 14215  889 0.6030921 0.116845053  fv Log-Normal      RP(P), Gamma    FALSE #> 14231  890 0.6118626 0.117833825  fv Log-Normal      RP(P), Gamma    FALSE #> 14247  891 0.6524154 0.124896117  fv Log-Normal      RP(P), Gamma    FALSE #> 14263  892 0.9531941 0.178350481  fv Log-Normal      RP(P), Gamma     TRUE #> 14279  893 0.4343296 0.087215814  fv Log-Normal      RP(P), Gamma    FALSE #> 14295  894 0.5594749 0.110073852  fv Log-Normal      RP(P), Gamma    FALSE #> 14311  895 0.7014979 0.134457311  fv Log-Normal      RP(P), Gamma    FALSE #> 14327  896 0.4731205 0.093660204  fv Log-Normal      RP(P), Gamma    FALSE #> 14343  897 0.5714472 0.110989910  fv Log-Normal      RP(P), Gamma    FALSE #> 14359  898 0.6785190 0.129913470  fv Log-Normal      RP(P), Gamma    FALSE #> 14375  899 0.7737308 0.149258753  fv Log-Normal      RP(P), Gamma    FALSE #> 14391  900 0.6258468 0.120819485  fv Log-Normal      RP(P), Gamma    FALSE #> 14407  901 0.6898911 0.131170243  fv Log-Normal      RP(P), Gamma    FALSE #> 14423  902 0.7154328 0.135521156  fv Log-Normal      RP(P), Gamma    FALSE #> 14439  903 0.5104288 0.100779991  fv Log-Normal      RP(P), Gamma    FALSE #> 14455  904 0.5856834 0.113572720  fv Log-Normal      RP(P), Gamma    FALSE #> 14471  905 0.6004749 0.115324014  fv Log-Normal      RP(P), Gamma    FALSE #> 14487  906 0.6359688 0.122586572  fv Log-Normal      RP(P), Gamma    FALSE #> 14503  907 0.5900934 0.115657031  fv Log-Normal      RP(P), Gamma    FALSE #> 14519  908 0.4540465 0.090511303  fv Log-Normal      RP(P), Gamma    FALSE #> 14535  909 0.7511004 0.141521670  fv Log-Normal      RP(P), Gamma    FALSE #> 14551  910 0.5658137 0.110268564  fv Log-Normal      RP(P), Gamma    FALSE #> 14567  911 0.6072191 0.117365255  fv Log-Normal      RP(P), Gamma    FALSE #> 14583  912 0.3616722 0.073972649  fv Log-Normal      RP(P), Gamma     TRUE #> 14599  913 0.5503152 0.107431667  fv Log-Normal      RP(P), Gamma    FALSE #> 14615  914 0.7685300 0.145147343  fv Log-Normal      RP(P), Gamma    FALSE #> 14631  915 0.5856077 0.113156906  fv Log-Normal      RP(P), Gamma    FALSE #> 14647  916 0.6230510 0.119988154  fv Log-Normal      RP(P), Gamma    FALSE #> 14663  917 0.4810465 0.096021894  fv Log-Normal      RP(P), Gamma    FALSE #> 14679  918 0.5535167 0.109209013  fv Log-Normal      RP(P), Gamma    FALSE #> 14695  919 0.6199536 0.120122996  fv Log-Normal      RP(P), Gamma    FALSE #> 14711  920 0.5967302 0.115422824  fv Log-Normal      RP(P), Gamma    FALSE #> 14727  921 0.9743057 0.178872657  fv Log-Normal      RP(P), Gamma     TRUE #> 14743  922 0.5749685 0.112106133  fv Log-Normal      RP(P), Gamma    FALSE #> 14759  923 0.8627857 0.160537625  fv Log-Normal      RP(P), Gamma    FALSE #> 14775  924 0.6123826 0.118440207  fv Log-Normal      RP(P), Gamma    FALSE #> 14791  925 0.6977269 0.134168790  fv Log-Normal      RP(P), Gamma    FALSE #> 14807  926 0.7560266 0.142158465  fv Log-Normal      RP(P), Gamma    FALSE #> 14823  927 0.7244242 0.137428355  fv Log-Normal      RP(P), Gamma    FALSE #> 14839  928 0.6414165 0.123785383  fv Log-Normal      RP(P), Gamma    FALSE #> 14855  929 0.6732490 0.128390941  fv Log-Normal      RP(P), Gamma    FALSE #> 14871  930 0.5125839 0.101497596  fv Log-Normal      RP(P), Gamma    FALSE #> 14887  931 0.7127123 0.136040162  fv Log-Normal      RP(P), Gamma    FALSE #> 14903  932 0.5071163 0.100658331  fv Log-Normal      RP(P), Gamma    FALSE #> 14919  933 0.4956539 0.097351924  fv Log-Normal      RP(P), Gamma    FALSE #> 14935  934 0.6492066 0.125778769  fv Log-Normal      RP(P), Gamma    FALSE #> 14951  935 0.7579194 0.142654366  fv Log-Normal      RP(P), Gamma    FALSE #> 14967  936 0.6662641 0.128059082  fv Log-Normal      RP(P), Gamma    FALSE #> 14983  937 0.6552375 0.124704511  fv Log-Normal      RP(P), Gamma    FALSE #> 14999  938 0.6935610 0.131635443  fv Log-Normal      RP(P), Gamma    FALSE #> 15015  939 0.5076373 0.099638563  fv Log-Normal      RP(P), Gamma    FALSE #> 15031  940 0.6941711 0.133443392  fv Log-Normal      RP(P), Gamma    FALSE #> 15047  941 0.4272667 0.085962338  fv Log-Normal      RP(P), Gamma    FALSE #> 15063  942 0.7084198 0.133980596  fv Log-Normal      RP(P), Gamma    FALSE #> 15079  943 0.4592534 0.091044580  fv Log-Normal      RP(P), Gamma    FALSE #> 15095  944 0.5670107 0.110185647  fv Log-Normal      RP(P), Gamma    FALSE #> 15111  945 0.9419069 0.175234747  fv Log-Normal      RP(P), Gamma     TRUE #> 15127  946 0.7159091 0.136177032  fv Log-Normal      RP(P), Gamma    FALSE #> 15143  947 0.7179454 0.135868745  fv Log-Normal      RP(P), Gamma    FALSE #> 15159  948 0.4495258 0.091309189  fv Log-Normal      RP(P), Gamma    FALSE #> 15175  949 0.5815352 0.112460379  fv Log-Normal      RP(P), Gamma    FALSE #> 15191  950 0.6932335 0.132488165  fv Log-Normal      RP(P), Gamma    FALSE #> 15207  951 0.4666819 0.092380052  fv Log-Normal      RP(P), Gamma    FALSE #> 15223  952 0.5314269 0.103829685  fv Log-Normal      RP(P), Gamma    FALSE #> 15239  953 0.5565247 0.109149397  fv Log-Normal      RP(P), Gamma    FALSE #> 15255  954 0.7841108 0.150127737  fv Log-Normal      RP(P), Gamma    FALSE #> 15271  955 0.6303305 0.121517200  fv Log-Normal      RP(P), Gamma    FALSE #> 15287  956 0.7256964 0.136703077  fv Log-Normal      RP(P), Gamma    FALSE #> 15303  957 0.5263540 0.102902469  fv Log-Normal      RP(P), Gamma    FALSE #> 15319  958 0.5512942 0.108239740  fv Log-Normal      RP(P), Gamma    FALSE #> 15335  959 0.6362485 0.122428233  fv Log-Normal      RP(P), Gamma    FALSE #> 15351  960 0.4981004 0.097951714  fv Log-Normal      RP(P), Gamma    FALSE #> 15367  961 0.7240723 0.136822170  fv Log-Normal      RP(P), Gamma    FALSE #> 15383  962 0.6738336 0.128430099  fv Log-Normal      RP(P), Gamma    FALSE #> 15399  963 0.8590658 0.161400634  fv Log-Normal      RP(P), Gamma    FALSE #> 15415  964 0.6778286 0.131550538  fv Log-Normal      RP(P), Gamma    FALSE #> 15431  965 0.4974168 0.098176690  fv Log-Normal      RP(P), Gamma    FALSE #> 15447  966 0.8272373 0.153861102  fv Log-Normal      RP(P), Gamma    FALSE #> 15463  967 0.8021231 0.151700494  fv Log-Normal      RP(P), Gamma    FALSE #> 15479  968 0.7554846 0.144617670  fv Log-Normal      RP(P), Gamma    FALSE #> 15495  969 0.9243088 0.170805922  fv Log-Normal      RP(P), Gamma     TRUE #> 15511  970 0.7071617 0.135442111  fv Log-Normal      RP(P), Gamma    FALSE #> 15527  971 0.7640821 0.143246252  fv Log-Normal      RP(P), Gamma    FALSE #> 15543  972 0.5395954 0.105794951  fv Log-Normal      RP(P), Gamma    FALSE #> 15559  973 0.7931946 0.148915324  fv Log-Normal      RP(P), Gamma    FALSE #> 15575  974 0.8197008 0.153760685  fv Log-Normal      RP(P), Gamma    FALSE #> 15591  975 0.8907927 0.164905062  fv Log-Normal      RP(P), Gamma    FALSE #> 15607  976 0.7038651 0.135980149  fv Log-Normal      RP(P), Gamma    FALSE #> 15623  977 0.9187497 0.170234899  fv Log-Normal      RP(P), Gamma     TRUE #> 15639  978 0.7007673 0.133951052  fv Log-Normal      RP(P), Gamma    FALSE #> 15655  979 0.5554255 0.108409573  fv Log-Normal      RP(P), Gamma    FALSE #> 15671  980 0.6745765 0.129438354  fv Log-Normal      RP(P), Gamma    FALSE #> 15687  981 0.5670618 0.109771497  fv Log-Normal      RP(P), Gamma    FALSE #> 15703  982 0.5361854 0.104634937  fv Log-Normal      RP(P), Gamma    FALSE #> 15719  983 0.6498347 0.124437335  fv Log-Normal      RP(P), Gamma    FALSE #> 15735  984 0.6185397 0.120212982  fv Log-Normal      RP(P), Gamma    FALSE #> 15751  985 0.7716535 0.145635881  fv Log-Normal      RP(P), Gamma    FALSE #> 15767  986 0.6954360 0.133693819  fv Log-Normal      RP(P), Gamma    FALSE #> 15783  987 0.6610757 0.128995735  fv Log-Normal      RP(P), Gamma    FALSE #> 15799  988 0.7090702 0.134191221  fv Log-Normal      RP(P), Gamma    FALSE #> 15815  989 0.7499270 0.140913712  fv Log-Normal      RP(P), Gamma    FALSE #> 15831  990 0.6791009 0.130402853  fv Log-Normal      RP(P), Gamma    FALSE #> 15847  991 0.7486170 0.141785330  fv Log-Normal      RP(P), Gamma    FALSE #> 15863  992 0.6478979 0.124552181  fv Log-Normal      RP(P), Gamma    FALSE #> 15879  993 0.6378838 0.121975666  fv Log-Normal      RP(P), Gamma    FALSE #> 15895  994 0.6296675 0.123056122  fv Log-Normal      RP(P), Gamma    FALSE #> 15911  995 0.5297010 0.103909524  fv Log-Normal      RP(P), Gamma    FALSE #> 15927  996 0.6733473 0.130527337  fv Log-Normal      RP(P), Gamma    FALSE #> 15943  997 0.5759983 0.111233442  fv Log-Normal      RP(P), Gamma    FALSE #> 15959  998 0.5520605 0.108023635  fv Log-Normal      RP(P), Gamma    FALSE #> 15975  999 0.6755070 0.129234930  fv Log-Normal      RP(P), Gamma    FALSE #> 15991 1000 0.5820900 0.112838328  fv Log-Normal      RP(P), Gamma    FALSE #> 8        1 0.7587269 0.160310074  fv Log-Normal RP(P), Log-Normal    FALSE #> 24       2 0.6427095 0.136481613  fv Log-Normal RP(P), Log-Normal    FALSE #> 40       3 0.8272743 0.174133172  fv Log-Normal RP(P), Log-Normal    FALSE #> 56       4 0.6154492 0.132224678  fv Log-Normal RP(P), Log-Normal    FALSE #> 72       5 1.0040595 0.212010663  fv Log-Normal RP(P), Log-Normal    FALSE #> 88       6 0.8839655 0.187498893  fv Log-Normal RP(P), Log-Normal    FALSE #> 104      7 0.5927076 0.126010284  fv Log-Normal RP(P), Log-Normal    FALSE #> 120      8 0.8303076 0.176094173  fv Log-Normal RP(P), Log-Normal    FALSE #> 136      9 0.7248036 0.153480938  fv Log-Normal RP(P), Log-Normal    FALSE #> 152     10 1.0116901 0.215026028  fv Log-Normal RP(P), Log-Normal    FALSE #> 168     11 0.9163779 0.192812176  fv Log-Normal RP(P), Log-Normal    FALSE #> 184     12 0.5531775 0.117536667  fv Log-Normal RP(P), Log-Normal    FALSE #> 200     13 0.8309998 0.174965974  fv Log-Normal RP(P), Log-Normal    FALSE #> 216     14 0.8142702 0.172262423  fv Log-Normal RP(P), Log-Normal    FALSE #> 232     15 0.7403548 0.157621039  fv Log-Normal RP(P), Log-Normal    FALSE #> 248     16 0.5815212 0.124702775  fv Log-Normal RP(P), Log-Normal    FALSE #> 264     17 0.6448992 0.136415060  fv Log-Normal RP(P), Log-Normal    FALSE #> 280     18 0.8723504 0.185445247  fv Log-Normal RP(P), Log-Normal    FALSE #> 296     19 0.9424444 0.197979689  fv Log-Normal RP(P), Log-Normal    FALSE #> 312     20 0.6112837 0.130269558  fv Log-Normal RP(P), Log-Normal    FALSE #> 328     21 0.7055255 0.150812066  fv Log-Normal RP(P), Log-Normal    FALSE #> 344     22 0.6008341 0.128261543  fv Log-Normal RP(P), Log-Normal    FALSE #> 360     23 0.8761728 0.183388185  fv Log-Normal RP(P), Log-Normal    FALSE #> 376     24 0.8105771 0.171983797  fv Log-Normal RP(P), Log-Normal    FALSE #> 392     25 0.6233797 0.132823464  fv Log-Normal RP(P), Log-Normal    FALSE #> 408     26 0.7552494 0.159767947  fv Log-Normal RP(P), Log-Normal    FALSE #> 424     27 0.5365736 0.118347519  fv Log-Normal RP(P), Log-Normal    FALSE #> 440     28 0.7291543 0.155121274  fv Log-Normal RP(P), Log-Normal    FALSE #> 456     29 1.0757698 0.224219202  fv Log-Normal RP(P), Log-Normal     TRUE #> 472     30 0.7238761 0.156782077  fv Log-Normal RP(P), Log-Normal    FALSE #> 488     31 0.5599923 0.120185524  fv Log-Normal RP(P), Log-Normal    FALSE #> 504     32 0.5305952 0.112891465  fv Log-Normal RP(P), Log-Normal    FALSE #> 520     33 0.7705200 0.164509859  fv Log-Normal RP(P), Log-Normal    FALSE #> 536     34 0.9181142 0.193544815  fv Log-Normal RP(P), Log-Normal    FALSE #> 552     35 0.5262293 0.112984685  fv Log-Normal RP(P), Log-Normal    FALSE #> 568     36 0.5191213 0.111910048  fv Log-Normal RP(P), Log-Normal    FALSE #> 584     37 0.7019126 0.149573895  fv Log-Normal RP(P), Log-Normal    FALSE #> 600     38 0.6378678 0.135525656  fv Log-Normal RP(P), Log-Normal    FALSE #> 616     39 0.8017794 0.170404386  fv Log-Normal RP(P), Log-Normal    FALSE #> 632     40 0.5714472 0.121859157  fv Log-Normal RP(P), Log-Normal    FALSE #> 648     41 0.8335074 0.177134554  fv Log-Normal RP(P), Log-Normal    FALSE #> 664     42 0.5632683 0.120257577  fv Log-Normal RP(P), Log-Normal    FALSE #> 680     43 0.5641544 0.122123217  fv Log-Normal RP(P), Log-Normal    FALSE #> 696     44 0.7949684 0.169464289  fv Log-Normal RP(P), Log-Normal    FALSE #> 712     45 0.6326050 0.134725078  fv Log-Normal RP(P), Log-Normal    FALSE #> 728     46 0.3403314 0.074346940  fv Log-Normal RP(P), Log-Normal     TRUE #> 744     47 0.9563960 0.202431253  fv Log-Normal RP(P), Log-Normal    FALSE #> 760     48 0.8868588 0.187192828  fv Log-Normal RP(P), Log-Normal    FALSE #> 776     49 0.9689607 0.202879027  fv Log-Normal RP(P), Log-Normal    FALSE #> 792     50 0.6034856 0.129155376  fv Log-Normal RP(P), Log-Normal    FALSE #> 808     51 0.8875662 0.188455833  fv Log-Normal RP(P), Log-Normal    FALSE #> 824     52 0.5304852 0.114409866  fv Log-Normal RP(P), Log-Normal    FALSE #> 840     53 0.9347285 0.195611763  fv Log-Normal RP(P), Log-Normal    FALSE #> 856     54 0.7253010 0.153848983  fv Log-Normal RP(P), Log-Normal    FALSE #> 872     55 0.9365095 0.197246816  fv Log-Normal RP(P), Log-Normal    FALSE #> 888     56 0.7698460 0.161108352  fv Log-Normal RP(P), Log-Normal    FALSE #> 904     57 0.9240850 0.195363045  fv Log-Normal RP(P), Log-Normal    FALSE #> 920     58 0.7679395 0.161928888  fv Log-Normal RP(P), Log-Normal    FALSE #> 936     59 0.7182305 0.151499862  fv Log-Normal RP(P), Log-Normal    FALSE #> 952     60 1.0058746 0.216721875  fv Log-Normal RP(P), Log-Normal    FALSE #> 968     61 0.7566231 0.160366843  fv Log-Normal RP(P), Log-Normal    FALSE #> 984     62 0.6235933 0.132341918  fv Log-Normal RP(P), Log-Normal    FALSE #> 1000    63 0.8330331 0.174751715  fv Log-Normal RP(P), Log-Normal    FALSE #> 1016    64 0.7372343 0.154560392  fv Log-Normal RP(P), Log-Normal    FALSE #> 1032    65 0.9324597 0.196214421  fv Log-Normal RP(P), Log-Normal    FALSE #> 1048    66 0.6556111 0.140836763  fv Log-Normal RP(P), Log-Normal    FALSE #> 1064    67 0.6283832 0.133766573  fv Log-Normal RP(P), Log-Normal    FALSE #> 1080    68 0.5259450 0.113787629  fv Log-Normal RP(P), Log-Normal    FALSE #> 1096    69 0.8150040 0.171983367  fv Log-Normal RP(P), Log-Normal    FALSE #> 1112    70 0.7752526 0.163616805  fv Log-Normal RP(P), Log-Normal    FALSE #> 1128    71 1.0256382 0.217584719  fv Log-Normal RP(P), Log-Normal    FALSE #> 1144    72 0.6090315 0.129986511  fv Log-Normal RP(P), Log-Normal    FALSE #> 1160    73 0.7378555 0.157540359  fv Log-Normal RP(P), Log-Normal    FALSE #> 1176    74 0.4266073 0.091598299  fv Log-Normal RP(P), Log-Normal    FALSE #> 1192    75 0.7264828 0.153774539  fv Log-Normal RP(P), Log-Normal    FALSE #> 1208    76 0.6558995 0.140177692  fv Log-Normal RP(P), Log-Normal    FALSE #> 1224    77 0.8527293 0.179762381  fv Log-Normal RP(P), Log-Normal    FALSE #> 1240    78 0.7870716 0.165681047  fv Log-Normal RP(P), Log-Normal    FALSE #> 1256    79 1.0961721 0.229344262  fv Log-Normal RP(P), Log-Normal     TRUE #> 1272    80 0.5928102 0.126126879  fv Log-Normal RP(P), Log-Normal    FALSE #> 1288    81 1.0116718 0.212214328  fv Log-Normal RP(P), Log-Normal    FALSE #> 1304    82 0.6932804 0.146529625  fv Log-Normal RP(P), Log-Normal    FALSE #> 1320    83 0.8128450 0.173169547  fv Log-Normal RP(P), Log-Normal    FALSE #> 1336    84 0.6546543 0.140338914  fv Log-Normal RP(P), Log-Normal    FALSE #> 1352    85 0.6580420 0.139756530  fv Log-Normal RP(P), Log-Normal    FALSE #> 1368    86 0.5651574 0.120395675  fv Log-Normal RP(P), Log-Normal    FALSE #> 1384    87 0.7739794 0.164331266  fv Log-Normal RP(P), Log-Normal    FALSE #> 1400    88 0.7745832 0.167238556  fv Log-Normal RP(P), Log-Normal    FALSE #> 1416    89 1.0368143 0.217170812  fv Log-Normal RP(P), Log-Normal    FALSE #> 1432    90 0.8166873 0.170720378  fv Log-Normal RP(P), Log-Normal    FALSE #> 1448    91 0.9071331 0.190130518  fv Log-Normal RP(P), Log-Normal    FALSE #> 1464    92 0.8923346 0.189677791  fv Log-Normal RP(P), Log-Normal    FALSE #> 1480    93 0.6132879 0.130286551  fv Log-Normal RP(P), Log-Normal    FALSE #> 1496    94 0.8505242 0.181240095  fv Log-Normal RP(P), Log-Normal    FALSE #> 1512    95 0.6782855 0.143566528  fv Log-Normal RP(P), Log-Normal    FALSE #> 1528    96 0.5793421 0.124444915  fv Log-Normal RP(P), Log-Normal    FALSE #> 1544    97 0.8184744 0.172217358  fv Log-Normal RP(P), Log-Normal    FALSE #> 1560    98 0.4638964 0.100253533  fv Log-Normal RP(P), Log-Normal    FALSE #> 1576    99 0.9303806 0.199727243  fv Log-Normal RP(P), Log-Normal    FALSE #> 1592   100 0.6869339 0.148166559  fv Log-Normal RP(P), Log-Normal    FALSE #> 1608   101 0.6467181 0.136969509  fv Log-Normal RP(P), Log-Normal    FALSE #> 1624   102 0.4957626 0.105808839  fv Log-Normal RP(P), Log-Normal    FALSE #> 1640   103 0.7884881 0.166125050  fv Log-Normal RP(P), Log-Normal    FALSE #> 1656   104 0.7369302 0.156103668  fv Log-Normal RP(P), Log-Normal    FALSE #> 1672   105 0.4680770 0.100530696  fv Log-Normal RP(P), Log-Normal    FALSE #> 1688   106 0.6814912 0.146176406  fv Log-Normal RP(P), Log-Normal    FALSE #> 1704   107 0.8653450 0.182292080  fv Log-Normal RP(P), Log-Normal    FALSE #> 1720   108 0.7160621 0.153662080  fv Log-Normal RP(P), Log-Normal    FALSE #> 1736   109 0.9318352 0.195104641  fv Log-Normal RP(P), Log-Normal    FALSE #> 1752   110 0.9333831 0.197785385  fv Log-Normal RP(P), Log-Normal    FALSE #> 1768   111 0.6395728 0.135269065  fv Log-Normal RP(P), Log-Normal    FALSE #> 1784   112 0.7016627 0.147545888  fv Log-Normal RP(P), Log-Normal    FALSE #> 1800   113 0.8576238 0.179983637  fv Log-Normal RP(P), Log-Normal    FALSE #> 1816   114 0.6710954 0.142328711  fv Log-Normal RP(P), Log-Normal    FALSE #> 1832   115 0.7820406 0.166205449  fv Log-Normal RP(P), Log-Normal    FALSE #> 1848   116 0.7939534 0.167711038  fv Log-Normal RP(P), Log-Normal    FALSE #> 1864   117 0.8430940 0.176684051  fv Log-Normal RP(P), Log-Normal    FALSE #> 1880   118 0.6212618 0.132330606  fv Log-Normal RP(P), Log-Normal    FALSE #> 1896   119 0.5727404 0.121504334  fv Log-Normal RP(P), Log-Normal    FALSE #> 1912   120 0.8243130 0.174444030  fv Log-Normal RP(P), Log-Normal    FALSE #> 1928   121 0.7202072 0.152475354  fv Log-Normal RP(P), Log-Normal    FALSE #> 1944   122 0.5561335 0.119749873  fv Log-Normal RP(P), Log-Normal    FALSE #> 1960   123 0.5294622 0.113195261  fv Log-Normal RP(P), Log-Normal    FALSE #> 1976   124 0.5606144 0.119830783  fv Log-Normal RP(P), Log-Normal    FALSE #> 1992   125 0.5467464 0.117088993  fv Log-Normal RP(P), Log-Normal    FALSE #> 2008   126 1.2215715 0.256569950  fv Log-Normal RP(P), Log-Normal     TRUE #> 2024   127 0.5218994 0.113209374  fv Log-Normal RP(P), Log-Normal    FALSE #> 2040   128 0.5216607 0.111937164  fv Log-Normal RP(P), Log-Normal    FALSE #> 2056   129 0.7174736 0.154534528  fv Log-Normal RP(P), Log-Normal    FALSE #> 2072   130 0.5770054 0.123890286  fv Log-Normal RP(P), Log-Normal    FALSE #> 2088   131 0.6689280 0.142266715  fv Log-Normal RP(P), Log-Normal    FALSE #> 2104   132 0.7957550 0.170120599  fv Log-Normal RP(P), Log-Normal    FALSE #> 2120   133 0.9412438 0.196855270  fv Log-Normal RP(P), Log-Normal    FALSE #> 2136   134 1.0838532 0.226912038  fv Log-Normal RP(P), Log-Normal     TRUE #> 2152   135 0.6648603 0.140092983  fv Log-Normal RP(P), Log-Normal    FALSE #> 2168   136 0.5492014 0.117363787  fv Log-Normal RP(P), Log-Normal    FALSE #> 2184   137 0.5291266 0.115402392  fv Log-Normal RP(P), Log-Normal    FALSE #> 2200   138 0.5264330 0.112494837  fv Log-Normal RP(P), Log-Normal    FALSE #> 2216   139 0.7533269 0.160159857  fv Log-Normal RP(P), Log-Normal    FALSE #> 2232   140 0.8110847 0.171158128  fv Log-Normal RP(P), Log-Normal    FALSE #> 2248   141 0.4367489 0.094597121  fv Log-Normal RP(P), Log-Normal    FALSE #> 2264   142 0.4940670 0.106169645  fv Log-Normal RP(P), Log-Normal    FALSE #> 2280   143 0.5794493 0.122951278  fv Log-Normal RP(P), Log-Normal    FALSE #> 2296   144 0.6778027 0.143521271  fv Log-Normal RP(P), Log-Normal    FALSE #> 2312   145 0.5837892 0.125941371  fv Log-Normal RP(P), Log-Normal    FALSE #> 2328   146 0.7325227 0.154220307  fv Log-Normal RP(P), Log-Normal    FALSE #> 2344   147 0.6357226 0.135958395  fv Log-Normal RP(P), Log-Normal    FALSE #> 2360   148 0.5487951 0.117138970  fv Log-Normal RP(P), Log-Normal    FALSE #> 2376   149 0.4091531 0.089138976  fv Log-Normal RP(P), Log-Normal     TRUE #> 2392   150 0.5623525 0.119787569  fv Log-Normal RP(P), Log-Normal    FALSE #> 2408   151 0.9870081 0.207968406  fv Log-Normal RP(P), Log-Normal    FALSE #> 2424   152 0.7257533 0.155576929  fv Log-Normal RP(P), Log-Normal    FALSE #> 2440   153 0.7938888 0.166001332  fv Log-Normal RP(P), Log-Normal    FALSE #> 2456   154 0.7543676 0.159096926  fv Log-Normal RP(P), Log-Normal    FALSE #> 2472   155 1.0111457 0.212971620  fv Log-Normal RP(P), Log-Normal    FALSE #> 2488   156 0.6544524 0.141043356  fv Log-Normal RP(P), Log-Normal    FALSE #> 2504   157 0.6432003 0.138898907  fv Log-Normal RP(P), Log-Normal    FALSE #> 2520   158 0.6411141 0.135716820  fv Log-Normal RP(P), Log-Normal    FALSE #> 2536   159 0.8229442 0.176716197  fv Log-Normal RP(P), Log-Normal    FALSE #> 2552   160 0.8120361 0.174187032  fv Log-Normal RP(P), Log-Normal    FALSE #> 2568   161 0.9019813 0.188117850  fv Log-Normal RP(P), Log-Normal    FALSE #> 2584   162 1.0499623 0.220400899  fv Log-Normal RP(P), Log-Normal     TRUE #> 2600   163 0.6371458 0.137262190  fv Log-Normal RP(P), Log-Normal    FALSE #> 2616   164 0.6859633 0.145451105  fv Log-Normal RP(P), Log-Normal    FALSE #> 2632   165 0.5519135 0.117940756  fv Log-Normal RP(P), Log-Normal    FALSE #> 2648   166 0.4479469 0.095793295  fv Log-Normal RP(P), Log-Normal    FALSE #> 2664   167 0.7613875 0.161975639  fv Log-Normal RP(P), Log-Normal    FALSE #> 2680   168 0.8959044 0.188861131  fv Log-Normal RP(P), Log-Normal    FALSE #> 2696   169 0.6531845 0.138023079  fv Log-Normal RP(P), Log-Normal    FALSE #> 2712   170 0.7664620 0.162066953  fv Log-Normal RP(P), Log-Normal    FALSE #> 2728   171 0.8455567 0.178186955  fv Log-Normal RP(P), Log-Normal    FALSE #> 2744   172 0.7766548 0.164499182  fv Log-Normal RP(P), Log-Normal    FALSE #> 2760   173 0.7349752 0.154532530  fv Log-Normal RP(P), Log-Normal    FALSE #> 2776   174 0.6099624 0.129739699  fv Log-Normal RP(P), Log-Normal    FALSE #> 2792   175 0.8046287 0.169421952  fv Log-Normal RP(P), Log-Normal    FALSE #> 2808   176 1.0156282 0.214174421  fv Log-Normal RP(P), Log-Normal    FALSE #> 2824   177 0.8256876 0.175175875  fv Log-Normal RP(P), Log-Normal    FALSE #> 2840   178 0.5414903 0.116046912  fv Log-Normal RP(P), Log-Normal    FALSE #> 2856   179 0.9627749 0.202015293  fv Log-Normal RP(P), Log-Normal    FALSE #> 2872   180 0.5801914 0.124401399  fv Log-Normal RP(P), Log-Normal    FALSE #> 2888   181 0.7554494 0.159701514  fv Log-Normal RP(P), Log-Normal    FALSE #> 2904   182 1.2537245 0.262312759  fv Log-Normal RP(P), Log-Normal     TRUE #> 2920   183 0.7659203 0.165867012  fv Log-Normal RP(P), Log-Normal    FALSE #> 2936   184 0.9738310 0.203471702  fv Log-Normal RP(P), Log-Normal    FALSE #> 2952   185 0.8121692 0.171028940  fv Log-Normal RP(P), Log-Normal    FALSE #> 2968   186 0.7982599 0.168832783  fv Log-Normal RP(P), Log-Normal    FALSE #> 2984   187 0.6883828 0.145342853  fv Log-Normal RP(P), Log-Normal    FALSE #> 3000   188 0.8374741 0.176193562  fv Log-Normal RP(P), Log-Normal    FALSE #> 3016   189 0.6993496 0.147808847  fv Log-Normal RP(P), Log-Normal    FALSE #> 3032   190 0.8064399 0.170804825  fv Log-Normal RP(P), Log-Normal    FALSE #> 3048   191 0.8008227 0.173861583  fv Log-Normal RP(P), Log-Normal    FALSE #> 3064   192 0.6525505 0.137788950  fv Log-Normal RP(P), Log-Normal    FALSE #> 3080   193 0.7916083 0.170491952  fv Log-Normal RP(P), Log-Normal    FALSE #> 3096   194 0.9988075 0.209353233  fv Log-Normal RP(P), Log-Normal    FALSE #> 3112   195 0.5880564 0.124916660  fv Log-Normal RP(P), Log-Normal    FALSE #> 3128   196 0.6367192 0.135928623  fv Log-Normal RP(P), Log-Normal    FALSE #> 3144   197 0.6587380 0.139314113  fv Log-Normal RP(P), Log-Normal    FALSE #> 3160   198 0.7988690 0.168411544  fv Log-Normal RP(P), Log-Normal    FALSE #> 3176   199 0.5340730 0.114133322  fv Log-Normal RP(P), Log-Normal    FALSE #> 3192   200 0.6108400 0.131066750  fv Log-Normal RP(P), Log-Normal    FALSE #> 3208   201 0.8908497 0.188126967  fv Log-Normal RP(P), Log-Normal    FALSE #> 3224   202 0.7243823 0.152769551  fv Log-Normal RP(P), Log-Normal    FALSE #> 3240   203 0.6371139 0.135630072  fv Log-Normal RP(P), Log-Normal    FALSE #> 3256   204 0.6812425 0.144876357  fv Log-Normal RP(P), Log-Normal    FALSE #> 3272   205 0.6640707 0.142647914  fv Log-Normal RP(P), Log-Normal    FALSE #> 3288   206 0.7955822 0.169584226  fv Log-Normal RP(P), Log-Normal    FALSE #> 3304   207 0.8122343 0.171305716  fv Log-Normal RP(P), Log-Normal    FALSE #> 3320   208 1.0716857 0.225174141  fv Log-Normal RP(P), Log-Normal     TRUE #> 3336   209 0.6729434 0.145634249  fv Log-Normal RP(P), Log-Normal    FALSE #> 3352   210 0.7233139 0.155217656  fv Log-Normal RP(P), Log-Normal    FALSE #> 3368   211 0.8224261 0.173753257  fv Log-Normal RP(P), Log-Normal    FALSE #> 3384   212 0.8106002 0.171929743  fv Log-Normal RP(P), Log-Normal    FALSE #> 3400   213 0.6209349 0.132488452  fv Log-Normal RP(P), Log-Normal    FALSE #> 3416   214 0.6651939 0.141701897  fv Log-Normal RP(P), Log-Normal    FALSE #> 3432   215 0.6681925 0.142692548  fv Log-Normal RP(P), Log-Normal    FALSE #> 3448   216 0.9718383 0.203611298  fv Log-Normal RP(P), Log-Normal    FALSE #> 3464   217 0.7615306 0.161592701  fv Log-Normal RP(P), Log-Normal    FALSE #> 3480   218 0.5932685 0.126182039  fv Log-Normal RP(P), Log-Normal    FALSE #> 3496   219 0.8440250 0.177280275  fv Log-Normal RP(P), Log-Normal    FALSE #> 3512   220 0.9111737 0.193577494  fv Log-Normal RP(P), Log-Normal    FALSE #> 3528   221 0.6454833 0.139083353  fv Log-Normal RP(P), Log-Normal    FALSE #> 3544   222 0.3710342 0.081236086  fv Log-Normal RP(P), Log-Normal     TRUE #> 3560   223 0.5463579 0.116226442  fv Log-Normal RP(P), Log-Normal    FALSE #> 3576   224 0.5958494 0.127390309  fv Log-Normal RP(P), Log-Normal    FALSE #> 3592   225 0.8256615 0.173178721  fv Log-Normal RP(P), Log-Normal    FALSE #> 3608   226 1.0751549 0.225902510  fv Log-Normal RP(P), Log-Normal     TRUE #> 3624   227 0.7671138 0.162589102  fv Log-Normal RP(P), Log-Normal    FALSE #> 3640   228 0.8685262 0.182915069  fv Log-Normal RP(P), Log-Normal    FALSE #> 3656   229 0.4077865 0.089309434  fv Log-Normal RP(P), Log-Normal     TRUE #> 3672   230 0.6142203 0.130122245  fv Log-Normal RP(P), Log-Normal    FALSE #> 3688   231 0.6568914 0.139096135  fv Log-Normal RP(P), Log-Normal    FALSE #> 3704   232 0.9518400 0.200405291  fv Log-Normal RP(P), Log-Normal    FALSE #> 3720   233 0.9620535 0.203495174  fv Log-Normal RP(P), Log-Normal    FALSE #> 3736   234 0.9386042 0.197203991  fv Log-Normal RP(P), Log-Normal    FALSE #> 3752   235 0.5533993 0.117867348  fv Log-Normal RP(P), Log-Normal    FALSE #> 3768   236 0.6340348 0.134447642  fv Log-Normal RP(P), Log-Normal    FALSE #> 3784   237 0.5453294 0.115930957  fv Log-Normal RP(P), Log-Normal    FALSE #> 3800   238 0.8944895 0.191484666  fv Log-Normal RP(P), Log-Normal    FALSE #> 3816   239 0.9288279 0.195513931  fv Log-Normal RP(P), Log-Normal    FALSE #> 3832   240 0.6350098 0.135823593  fv Log-Normal RP(P), Log-Normal    FALSE #> 3848   241 0.7685612 0.163948020  fv Log-Normal RP(P), Log-Normal    FALSE #> 3864   242 0.5467803 0.117102138  fv Log-Normal RP(P), Log-Normal    FALSE #> 3880   243 0.6730960 0.142931552  fv Log-Normal RP(P), Log-Normal    FALSE #> 3896   244 0.6142116 0.131941975  fv Log-Normal RP(P), Log-Normal    FALSE #> 3912   245 0.5020462 0.109122006  fv Log-Normal RP(P), Log-Normal    FALSE #> 3928   246 0.7921927 0.168021380  fv Log-Normal RP(P), Log-Normal    FALSE #> 3944   247 0.6592181 0.139530433  fv Log-Normal RP(P), Log-Normal    FALSE #> 3960   248 1.1777612 0.254244197  fv Log-Normal RP(P), Log-Normal     TRUE #> 3976   249 0.5943575 0.127544821  fv Log-Normal RP(P), Log-Normal    FALSE #> 3992   250 0.7502168 0.158141093  fv Log-Normal RP(P), Log-Normal    FALSE #> 4008   251 0.6268527 0.133734241  fv Log-Normal RP(P), Log-Normal    FALSE #> 4024   252 0.4776854 0.102284469  fv Log-Normal RP(P), Log-Normal    FALSE #> 4040   253 0.8681536 0.183500004  fv Log-Normal RP(P), Log-Normal    FALSE #> 4056   254 0.7439174 0.156041861  fv Log-Normal RP(P), Log-Normal    FALSE #> 4072   255 0.9441697 0.201330530  fv Log-Normal RP(P), Log-Normal    FALSE #> 4088   256 0.8607312 0.182317109  fv Log-Normal RP(P), Log-Normal    FALSE #> 4104   257 0.8369787 0.175261357  fv Log-Normal RP(P), Log-Normal    FALSE #> 4120   258 0.4171869 0.089856660  fv Log-Normal RP(P), Log-Normal     TRUE #> 4136   259 0.6676815 0.141483812  fv Log-Normal RP(P), Log-Normal    FALSE #> 4152   260 0.6884486 0.147931703  fv Log-Normal RP(P), Log-Normal    FALSE #> 4168   261 0.8876474 0.187002433  fv Log-Normal RP(P), Log-Normal    FALSE #> 4184   262 0.6886344 0.145893409  fv Log-Normal RP(P), Log-Normal    FALSE #> 4200   263 0.8769823 0.186762641  fv Log-Normal RP(P), Log-Normal    FALSE #> 4216   264 0.7973775 0.168952281  fv Log-Normal RP(P), Log-Normal    FALSE #> 4232   265 0.6224204 0.131746513  fv Log-Normal RP(P), Log-Normal    FALSE #> 4248   266 0.6649661 0.143208152  fv Log-Normal RP(P), Log-Normal    FALSE #> 4264   267 0.6170590 0.130985777  fv Log-Normal RP(P), Log-Normal    FALSE #> 4280   268 0.9638015 0.201609273  fv Log-Normal RP(P), Log-Normal    FALSE #> 4296   269 0.6192713 0.132297670  fv Log-Normal RP(P), Log-Normal    FALSE #> 4312   270 0.6272993 0.133300944  fv Log-Normal RP(P), Log-Normal    FALSE #> 4328   271 0.7800909 0.164123810  fv Log-Normal RP(P), Log-Normal    FALSE #> 4344   272 0.5661606 0.121060836  fv Log-Normal RP(P), Log-Normal    FALSE #> 4360   273 0.7588228 0.161878411  fv Log-Normal RP(P), Log-Normal    FALSE #> 4376   274 0.7671855 0.161327099  fv Log-Normal RP(P), Log-Normal    FALSE #> 4392   275 0.6394525 0.136719057  fv Log-Normal RP(P), Log-Normal    FALSE #> 4408   276 0.7903120 0.166291219  fv Log-Normal RP(P), Log-Normal    FALSE #> 4424   277 0.7234781 0.152518392  fv Log-Normal RP(P), Log-Normal    FALSE #> 4440   278 0.6278358 0.135101300  fv Log-Normal RP(P), Log-Normal    FALSE #> 4456   279 0.8158385 0.171062766  fv Log-Normal RP(P), Log-Normal    FALSE #> 4472   280 0.8400655 0.178662425  fv Log-Normal RP(P), Log-Normal    FALSE #> 4488   281 0.7252124 0.152822320  fv Log-Normal RP(P), Log-Normal    FALSE #> 4504   282 0.6556109 0.140682373  fv Log-Normal RP(P), Log-Normal    FALSE #> 4520   283 0.8872840 0.188990041  fv Log-Normal RP(P), Log-Normal    FALSE #> 4536   284 0.6237917 0.133109411  fv Log-Normal RP(P), Log-Normal    FALSE #> 4552   285 0.7104471 0.150620789  fv Log-Normal RP(P), Log-Normal    FALSE #> 4568   286 0.7010266 0.148553607  fv Log-Normal RP(P), Log-Normal    FALSE #> 4584   287 0.5983036 0.127533893  fv Log-Normal RP(P), Log-Normal    FALSE #> 4600   288 0.6194319 0.132300120  fv Log-Normal RP(P), Log-Normal    FALSE #> 4616   289 0.6953902 0.147668888  fv Log-Normal RP(P), Log-Normal    FALSE #> 4632   290 0.6789570 0.143987778  fv Log-Normal RP(P), Log-Normal    FALSE #> 4648   291 0.7671789 0.162019778  fv Log-Normal RP(P), Log-Normal    FALSE #> 4664   292 0.6671205 0.145690555  fv Log-Normal RP(P), Log-Normal    FALSE #> 4680   293 0.6823554 0.144154584  fv Log-Normal RP(P), Log-Normal    FALSE #> 4696   294 0.7332624 0.154464681  fv Log-Normal RP(P), Log-Normal    FALSE #> 4712   295 0.6404999 0.135858256  fv Log-Normal RP(P), Log-Normal    FALSE #> 4728   296 0.8064440 0.169134786  fv Log-Normal RP(P), Log-Normal    FALSE #> 4744   297 0.4154099 0.089707885  fv Log-Normal RP(P), Log-Normal     TRUE #> 4760   298 0.7001526 0.148958370  fv Log-Normal RP(P), Log-Normal    FALSE #> 4776   299 0.7901542 0.166005499  fv Log-Normal RP(P), Log-Normal    FALSE #> 4792   300 0.6383931 0.135316588  fv Log-Normal RP(P), Log-Normal    FALSE #> 4808   301 1.0797894 0.226631922  fv Log-Normal RP(P), Log-Normal     TRUE #> 4824   302 0.7333982 0.154129270  fv Log-Normal RP(P), Log-Normal    FALSE #> 4840   303 0.6448902 0.136135374  fv Log-Normal RP(P), Log-Normal    FALSE #> 4856   304 0.6874369 0.145600025  fv Log-Normal RP(P), Log-Normal    FALSE #> 4872   305 0.8473673 0.180072933  fv Log-Normal RP(P), Log-Normal    FALSE #> 4888   306 0.5855319 0.124660389  fv Log-Normal RP(P), Log-Normal    FALSE #> 4904   307 0.6260604 0.133351831  fv Log-Normal RP(P), Log-Normal    FALSE #> 4920   308 0.7265619 0.155227234  fv Log-Normal RP(P), Log-Normal    FALSE #> 4936   309 0.6165858 0.131736323  fv Log-Normal RP(P), Log-Normal    FALSE #> 4952   310 0.6669932 0.143636364  fv Log-Normal RP(P), Log-Normal    FALSE #> 4968   311 0.8948024 0.187518922  fv Log-Normal RP(P), Log-Normal    FALSE #> 4984   312 0.7340584 0.156045396  fv Log-Normal RP(P), Log-Normal    FALSE #> 5000   313 0.5098630 0.110514496  fv Log-Normal RP(P), Log-Normal    FALSE #> 5016   314 0.7006581 0.149757043  fv Log-Normal RP(P), Log-Normal    FALSE #> 5032   315 0.6800828 0.144554310  fv Log-Normal RP(P), Log-Normal    FALSE #> 5048   316 0.5944615 0.126393843  fv Log-Normal RP(P), Log-Normal    FALSE #> 5064   317 0.8636833 0.180934577  fv Log-Normal RP(P), Log-Normal    FALSE #> 5080   318 0.5483091 0.116304349  fv Log-Normal RP(P), Log-Normal    FALSE #> 5096   319 0.7523237 0.160342794  fv Log-Normal RP(P), Log-Normal    FALSE #> 5112   320 0.8391743 0.176178376  fv Log-Normal RP(P), Log-Normal    FALSE #> 5128   321 0.9163775 0.194154288  fv Log-Normal RP(P), Log-Normal    FALSE #> 5144   322 0.5894324 0.127298736  fv Log-Normal RP(P), Log-Normal    FALSE #> 5160   323 0.8114798 0.171935681  fv Log-Normal RP(P), Log-Normal    FALSE #> 5176   324 0.5338577 0.114284662  fv Log-Normal RP(P), Log-Normal    FALSE #> 5192   325 0.6217815 0.132298631  fv Log-Normal RP(P), Log-Normal    FALSE #> 5208   326 1.0836512 0.235917887  fv Log-Normal RP(P), Log-Normal     TRUE #> 5224   327 0.5334750 0.115076500  fv Log-Normal RP(P), Log-Normal    FALSE #> 5240   328 0.7989732 0.169468715  fv Log-Normal RP(P), Log-Normal    FALSE #> 5256   329 0.6360385 0.134479974  fv Log-Normal RP(P), Log-Normal    FALSE #> 5272   330 0.5875593 0.128101031  fv Log-Normal RP(P), Log-Normal    FALSE #> 5288   331 0.9377907 0.197762013  fv Log-Normal RP(P), Log-Normal    FALSE #> 5304   332 0.6885284 0.145055687  fv Log-Normal RP(P), Log-Normal    FALSE #> 5320   333 0.5064415 0.108148237  fv Log-Normal RP(P), Log-Normal    FALSE #> 5336   334 0.5541498 0.118443759  fv Log-Normal RP(P), Log-Normal    FALSE #> 5352   335 0.5482213 0.116736851  fv Log-Normal RP(P), Log-Normal    FALSE #> 5368   336 0.7934025 0.166004228  fv Log-Normal RP(P), Log-Normal    FALSE #> 5384   337 0.6571731 0.138502229  fv Log-Normal RP(P), Log-Normal    FALSE #> 5400   338 0.7728687 0.163033764  fv Log-Normal RP(P), Log-Normal    FALSE #> 5416   339 0.5965669 0.128341597  fv Log-Normal RP(P), Log-Normal    FALSE #> 5432   340 0.9275768 0.195141879  fv Log-Normal RP(P), Log-Normal    FALSE #> 5448   341 0.6692119 0.145172381  fv Log-Normal RP(P), Log-Normal    FALSE #> 5464   342 0.5902572 0.125475073  fv Log-Normal RP(P), Log-Normal    FALSE #> 5480   343 0.5801466 0.123098768  fv Log-Normal RP(P), Log-Normal    FALSE #> 5496   344 0.6785553 0.144580820  fv Log-Normal RP(P), Log-Normal    FALSE #> 5512   345 0.6981478 0.149010321  fv Log-Normal RP(P), Log-Normal    FALSE #> 5528   346 0.5238796 0.114762954  fv Log-Normal RP(P), Log-Normal    FALSE #> 5544   347 0.6274841 0.133216940  fv Log-Normal RP(P), Log-Normal    FALSE #> 5560   348 0.6138076 0.132661263  fv Log-Normal RP(P), Log-Normal    FALSE #> 5576   349 0.7089060 0.151241295  fv Log-Normal RP(P), Log-Normal    FALSE #> 5592   350 0.7922423 0.166710243  fv Log-Normal RP(P), Log-Normal    FALSE #> 5608   351 0.6095110 0.131638592  fv Log-Normal RP(P), Log-Normal    FALSE #> 5624   352 0.8227668 0.174673506  fv Log-Normal RP(P), Log-Normal    FALSE #> 5640   353 0.7124254 0.149873339  fv Log-Normal RP(P), Log-Normal    FALSE #> 5656   354 0.6746969 0.142588109  fv Log-Normal RP(P), Log-Normal    FALSE #> 5672   355 0.7436915 0.155836291  fv Log-Normal RP(P), Log-Normal    FALSE #> 5688   356 0.6364339 0.135095851  fv Log-Normal RP(P), Log-Normal    FALSE #> 5704   357 0.9283883 0.195684960  fv Log-Normal RP(P), Log-Normal    FALSE #> 5720   358 0.6779987 0.143013219  fv Log-Normal RP(P), Log-Normal    FALSE #> 5736   359 0.5223231 0.112182424  fv Log-Normal RP(P), Log-Normal    FALSE #> 5752   360 0.6818928 0.145867770  fv Log-Normal RP(P), Log-Normal    FALSE #> 5768   361 0.6438289 0.136908189  fv Log-Normal RP(P), Log-Normal    FALSE #> 5784   362 0.6308484 0.133550798  fv Log-Normal RP(P), Log-Normal    FALSE #> 5800   363 0.6184552 0.131494207  fv Log-Normal RP(P), Log-Normal    FALSE #> 5816   364 0.9020074 0.191480398  fv Log-Normal RP(P), Log-Normal    FALSE #> 5832   365 0.8085743 0.174120700  fv Log-Normal RP(P), Log-Normal    FALSE #> 5848   366 0.6868125 0.146863645  fv Log-Normal RP(P), Log-Normal    FALSE #> 5864   367 0.8043925 0.169415489  fv Log-Normal RP(P), Log-Normal    FALSE #> 5880   368 0.9940984 0.211797215  fv Log-Normal RP(P), Log-Normal    FALSE #> 5896   369 0.6067818 0.130133487  fv Log-Normal RP(P), Log-Normal    FALSE #> 5912   370 0.7791594 0.164610115  fv Log-Normal RP(P), Log-Normal    FALSE #> 5928   371 0.6579660 0.139290440  fv Log-Normal RP(P), Log-Normal    FALSE #> 5944   372 0.4998593 0.107079991  fv Log-Normal RP(P), Log-Normal    FALSE #> 5960   373 1.1187507 0.239669973  fv Log-Normal RP(P), Log-Normal     TRUE #> 5976   374 0.5445436 0.116192907  fv Log-Normal RP(P), Log-Normal    FALSE #> 5992   375 0.6589562 0.140315215  fv Log-Normal RP(P), Log-Normal    FALSE #> 6008   376 0.7039143 0.151300247  fv Log-Normal RP(P), Log-Normal    FALSE #> 6024   377 0.5442462 0.116958497  fv Log-Normal RP(P), Log-Normal    FALSE #> 6040   378 0.6207517 0.133000762  fv Log-Normal RP(P), Log-Normal    FALSE #> 6056   379 0.5070180 0.108149121  fv Log-Normal RP(P), Log-Normal    FALSE #> 6072   380 0.6588885 0.139471825  fv Log-Normal RP(P), Log-Normal    FALSE #> 6088   381 0.8548545 0.181832063  fv Log-Normal RP(P), Log-Normal    FALSE #> 6104   382 0.7335509 0.156313750  fv Log-Normal RP(P), Log-Normal    FALSE #> 6120   383 0.7137172 0.150203860  fv Log-Normal RP(P), Log-Normal    FALSE #> 6136   384 0.7104134 0.150412373  fv Log-Normal RP(P), Log-Normal    FALSE #> 6152   385 0.5935099 0.129534784  fv Log-Normal RP(P), Log-Normal    FALSE #> 6168   386 0.9411797 0.201815466  fv Log-Normal RP(P), Log-Normal    FALSE #> 6184   387 0.5892174 0.125279876  fv Log-Normal RP(P), Log-Normal    FALSE #> 6200   388 0.9310919 0.196820097  fv Log-Normal RP(P), Log-Normal    FALSE #> 6216   389 0.8066429 0.170511534  fv Log-Normal RP(P), Log-Normal    FALSE #> 6232   390 0.6786750 0.144396146  fv Log-Normal RP(P), Log-Normal    FALSE #> 6248   391 0.8198229 0.172515332  fv Log-Normal RP(P), Log-Normal    FALSE #> 6264   392 0.6270577 0.133542272  fv Log-Normal RP(P), Log-Normal    FALSE #> 6280   393 0.5605416 0.119072930  fv Log-Normal RP(P), Log-Normal    FALSE #> 6296   394 0.8810824 0.186080625  fv Log-Normal RP(P), Log-Normal    FALSE #> 6312   395 0.7626802 0.161748237  fv Log-Normal RP(P), Log-Normal    FALSE #> 6328   396 1.0186980 0.215519936  fv Log-Normal RP(P), Log-Normal    FALSE #> 6344   397 0.7136712 0.152808078  fv Log-Normal RP(P), Log-Normal    FALSE #> 6360   398 0.6724088 0.142879285  fv Log-Normal RP(P), Log-Normal    FALSE #> 6376   399 0.8200587 0.173443890  fv Log-Normal RP(P), Log-Normal    FALSE #> 6392   400 0.5373662 0.114719406  fv Log-Normal RP(P), Log-Normal    FALSE #> 6408   401 0.6198081 0.133051510  fv Log-Normal RP(P), Log-Normal    FALSE #> 6424   402 0.5456393 0.120676593  fv Log-Normal RP(P), Log-Normal    FALSE #> 6440   403 0.6242481 0.134826074  fv Log-Normal RP(P), Log-Normal    FALSE #> 6456   404 0.5789455 0.124683392  fv Log-Normal RP(P), Log-Normal    FALSE #> 6472   405 0.4740742 0.101148159  fv Log-Normal RP(P), Log-Normal    FALSE #> 6488   406 0.7363722 0.157413363  fv Log-Normal RP(P), Log-Normal    FALSE #> 6504   407 0.7570074 0.160550534  fv Log-Normal RP(P), Log-Normal    FALSE #> 6520   408 0.4959259 0.108490225  fv Log-Normal RP(P), Log-Normal    FALSE #> 6536   409 0.7356424 0.157765466  fv Log-Normal RP(P), Log-Normal    FALSE #> 6552   410 0.7712851 0.162320795  fv Log-Normal RP(P), Log-Normal    FALSE #> 6568   411 0.6541786 0.140317219  fv Log-Normal RP(P), Log-Normal    FALSE #> 6584   412 0.6661183 0.143455097  fv Log-Normal RP(P), Log-Normal    FALSE #> 6600   413 0.5350439 0.115753646  fv Log-Normal RP(P), Log-Normal    FALSE #> 6616   414 0.8643640 0.180317810  fv Log-Normal RP(P), Log-Normal    FALSE #> 6632   415 1.2739619 0.266898773  fv Log-Normal RP(P), Log-Normal     TRUE #> 6648   416 0.5686275 0.124459667  fv Log-Normal RP(P), Log-Normal    FALSE #> 6664   417 0.5516460 0.117282911  fv Log-Normal RP(P), Log-Normal    FALSE #> 6680   418 0.8937930 0.187628969  fv Log-Normal RP(P), Log-Normal    FALSE #> 6696   419 0.4939313 0.107958764  fv Log-Normal RP(P), Log-Normal    FALSE #> 6712   420 0.7618818 0.162553523  fv Log-Normal RP(P), Log-Normal    FALSE #> 6728   421 0.7941336 0.166611656  fv Log-Normal RP(P), Log-Normal    FALSE #> 6744   422 0.5760020 0.123123483  fv Log-Normal RP(P), Log-Normal    FALSE #> 6760   423 0.5860742 0.124560347  fv Log-Normal RP(P), Log-Normal    FALSE #> 6776   424 0.6808656 0.144707278  fv Log-Normal RP(P), Log-Normal    FALSE #> 6792   425 0.7515341 0.158171202  fv Log-Normal RP(P), Log-Normal    FALSE #> 6808   426 0.8278194 0.174409626  fv Log-Normal RP(P), Log-Normal    FALSE #> 6824   427 0.9565671 0.199453527  fv Log-Normal RP(P), Log-Normal    FALSE #> 6840   428 0.8208074 0.173449828  fv Log-Normal RP(P), Log-Normal    FALSE #> 6856   429 0.7261118 0.153860717  fv Log-Normal RP(P), Log-Normal    FALSE #> 6872   430 0.8154937 0.170888139  fv Log-Normal RP(P), Log-Normal    FALSE #> 6888   431 0.6854336 0.147503360  fv Log-Normal RP(P), Log-Normal    FALSE #> 6904   432 0.8698979 0.183151737  fv Log-Normal RP(P), Log-Normal    FALSE #> 6920   433 0.5932630 0.126716505  fv Log-Normal RP(P), Log-Normal    FALSE #> 6936   434 0.5884706 0.124621858  fv Log-Normal RP(P), Log-Normal    FALSE #> 6952   435 0.4976009 0.107213878  fv Log-Normal RP(P), Log-Normal    FALSE #> 6968   436 0.7641928 0.161595804  fv Log-Normal RP(P), Log-Normal    FALSE #> 6984   437 0.5831031 0.126014583  fv Log-Normal RP(P), Log-Normal    FALSE #> 7000   438 0.8816506 0.185159712  fv Log-Normal RP(P), Log-Normal    FALSE #> 7016   439 0.5992139 0.129551688  fv Log-Normal RP(P), Log-Normal    FALSE #> 7032   440 0.4173110 0.090549796  fv Log-Normal RP(P), Log-Normal     TRUE #> 7048   441 0.5608792 0.120279561  fv Log-Normal RP(P), Log-Normal    FALSE #> 7064   442 0.7522919 0.160420421  fv Log-Normal RP(P), Log-Normal    FALSE #> 7080   443 0.8041542 0.170485517  fv Log-Normal RP(P), Log-Normal    FALSE #> 7096   444 0.8333665 0.174907941  fv Log-Normal RP(P), Log-Normal    FALSE #> 7112   445 0.9032992 0.190709150  fv Log-Normal RP(P), Log-Normal    FALSE #> 7128   446 0.6382998 0.136039454  fv Log-Normal RP(P), Log-Normal    FALSE #> 7144   447 0.8913664 0.188101809  fv Log-Normal RP(P), Log-Normal    FALSE #> 7160   448 0.9185656 0.194708815  fv Log-Normal RP(P), Log-Normal    FALSE #> 7176   449 0.9114504 0.192914583  fv Log-Normal RP(P), Log-Normal    FALSE #> 7192   450 0.7040628 0.150193038  fv Log-Normal RP(P), Log-Normal    FALSE #> 7208   451 0.7951696 0.168085049  fv Log-Normal RP(P), Log-Normal    FALSE #> 7224   452 0.7822380 0.164962493  fv Log-Normal RP(P), Log-Normal    FALSE #> 7240   453 0.6990982 0.147390463  fv Log-Normal RP(P), Log-Normal    FALSE #> 7256   454 0.6810218 0.145335768  fv Log-Normal RP(P), Log-Normal    FALSE #> 7272   455 0.6300676 0.133453170  fv Log-Normal RP(P), Log-Normal    FALSE #> 7288   456 0.4863927 0.104457276  fv Log-Normal RP(P), Log-Normal    FALSE #> 7304   457 0.9178214 0.193997798  fv Log-Normal RP(P), Log-Normal    FALSE #> 7320   458 0.7946535 0.172717509  fv Log-Normal RP(P), Log-Normal    FALSE #> 7336   459 0.9718512 0.208815317  fv Log-Normal RP(P), Log-Normal    FALSE #> 7352   460 0.6861966 0.146417539  fv Log-Normal RP(P), Log-Normal    FALSE #> 7368   461 0.7851648 0.165669430  fv Log-Normal RP(P), Log-Normal    FALSE #> 7384   462 0.7271394 0.153568596  fv Log-Normal RP(P), Log-Normal    FALSE #> 7400   463 0.8837419 0.187918773  fv Log-Normal RP(P), Log-Normal    FALSE #> 7416   464 0.8135415 0.171708945  fv Log-Normal RP(P), Log-Normal    FALSE #> 7432   465 0.8182940 0.172522261  fv Log-Normal RP(P), Log-Normal    FALSE #> 7448   466 0.8493356 0.179784542  fv Log-Normal RP(P), Log-Normal    FALSE #> 7464   467 0.7431155 0.158019881  fv Log-Normal RP(P), Log-Normal    FALSE #> 7480   468 0.9245746 0.194819936  fv Log-Normal RP(P), Log-Normal    FALSE #> 7496   469 0.8093364 0.169629324  fv Log-Normal RP(P), Log-Normal    FALSE #> 7512   470 0.7536124 0.160736238  fv Log-Normal RP(P), Log-Normal    FALSE #> 7528   471 0.6319489 0.135425252  fv Log-Normal RP(P), Log-Normal    FALSE #> 7544   472 0.8705816 0.183151533  fv Log-Normal RP(P), Log-Normal    FALSE #> 7560   473 0.6939116 0.147277985  fv Log-Normal RP(P), Log-Normal    FALSE #> 7576   474 1.0226695 0.218679643  fv Log-Normal RP(P), Log-Normal    FALSE #> 7592   475 0.6441230 0.137039433  fv Log-Normal RP(P), Log-Normal    FALSE #> 7608   476 0.4760739 0.102644848  fv Log-Normal RP(P), Log-Normal    FALSE #> 7624   477 0.5102537 0.108874669  fv Log-Normal RP(P), Log-Normal    FALSE #> 7640   478 0.8094600 0.170268803  fv Log-Normal RP(P), Log-Normal    FALSE #> 7656   479 0.7402423 0.155742727  fv Log-Normal RP(P), Log-Normal    FALSE #> 7672   480 1.0188028 0.213534164  fv Log-Normal RP(P), Log-Normal    FALSE #> 7688   481 1.0312072 0.216978595  fv Log-Normal RP(P), Log-Normal    FALSE #> 7704   482 0.7865807 0.168666058  fv Log-Normal RP(P), Log-Normal    FALSE #> 7720   483 0.9423222 0.201963450  fv Log-Normal RP(P), Log-Normal    FALSE #> 7736   484 0.8973102 0.192445828  fv Log-Normal RP(P), Log-Normal    FALSE #> 7752   485 0.5963984 0.127055639  fv Log-Normal RP(P), Log-Normal    FALSE #> 7768   486 0.4671000 0.102302527  fv Log-Normal RP(P), Log-Normal    FALSE #> 7784   487 0.8902634 0.188247313  fv Log-Normal RP(P), Log-Normal    FALSE #> 7800   488 0.4450478 0.096615368  fv Log-Normal RP(P), Log-Normal    FALSE #> 7816   489 0.8021624 0.173231327  fv Log-Normal RP(P), Log-Normal    FALSE #> 7832   490 0.7137305 0.152534661  fv Log-Normal RP(P), Log-Normal    FALSE #> 7848   491 0.6903608 0.146100755  fv Log-Normal RP(P), Log-Normal    FALSE #> 7864   492 0.5592670 0.118971312  fv Log-Normal RP(P), Log-Normal    FALSE #> 7880   493 1.0805007 0.228198880  fv Log-Normal RP(P), Log-Normal     TRUE #> 7896   494 0.6613173 0.139508951  fv Log-Normal RP(P), Log-Normal    FALSE #> 7912   495 0.8229525 0.172706856  fv Log-Normal RP(P), Log-Normal    FALSE #> 7928   496 1.0935848 0.231781117  fv Log-Normal RP(P), Log-Normal     TRUE #> 7944   497 0.5926421 0.126095802  fv Log-Normal RP(P), Log-Normal    FALSE #> 7960   498 0.6349464 0.134880116  fv Log-Normal RP(P), Log-Normal    FALSE #> 7976   499 0.9057009 0.193169237  fv Log-Normal RP(P), Log-Normal    FALSE #> 7992   500 0.6787804 0.143590515  fv Log-Normal RP(P), Log-Normal    FALSE #> 8008   501 1.3525305 0.283084001  fv Log-Normal RP(P), Log-Normal     TRUE #> 8024   502 0.7740755 0.163786111  fv Log-Normal RP(P), Log-Normal    FALSE #> 8040   503 0.7478861 0.158084965  fv Log-Normal RP(P), Log-Normal    FALSE #> 8056   504 0.8826810 0.185135409  fv Log-Normal RP(P), Log-Normal    FALSE #> 8072   505 0.7557309 0.160151723  fv Log-Normal RP(P), Log-Normal    FALSE #> 8088   506 1.0247701 0.219285990  fv Log-Normal RP(P), Log-Normal    FALSE #> 8104   507 0.7332673 0.155458606  fv Log-Normal RP(P), Log-Normal    FALSE #> 8120   508 0.5395012 0.115690840  fv Log-Normal RP(P), Log-Normal    FALSE #> 8136   509 0.6787263 0.144817990  fv Log-Normal RP(P), Log-Normal    FALSE #> 8152   510 0.6847482 0.146363988  fv Log-Normal RP(P), Log-Normal    FALSE #> 8168   511 0.4605915 0.099150023  fv Log-Normal RP(P), Log-Normal    FALSE #> 8184   512 0.7265371 0.156046468  fv Log-Normal RP(P), Log-Normal    FALSE #> 8200   513 0.8072477 0.171715037  fv Log-Normal RP(P), Log-Normal    FALSE #> 8216   514 0.7180859 0.151783993  fv Log-Normal RP(P), Log-Normal    FALSE #> 8232   515 0.5582958 0.119831433  fv Log-Normal RP(P), Log-Normal    FALSE #> 8248   516 0.7381316 0.155789374  fv Log-Normal RP(P), Log-Normal    FALSE #> 8264   517 0.3674411 0.080541276  fv Log-Normal RP(P), Log-Normal     TRUE #> 8280   518 0.7450873 0.157554369  fv Log-Normal RP(P), Log-Normal    FALSE #> 8296   519 0.7681291 0.162465401  fv Log-Normal RP(P), Log-Normal    FALSE #> 8312   520 0.8008281 0.168852756  fv Log-Normal RP(P), Log-Normal    FALSE #> 8328   521 0.7998675 0.170293482  fv Log-Normal RP(P), Log-Normal    FALSE #> 8344   522 0.5387534 0.114980391  fv Log-Normal RP(P), Log-Normal    FALSE #> 8360   523 0.7672604 0.162198321  fv Log-Normal RP(P), Log-Normal    FALSE #> 8376   524 0.5280884 0.112519890  fv Log-Normal RP(P), Log-Normal    FALSE #> 8392   525 0.7053708 0.149423744  fv Log-Normal RP(P), Log-Normal    FALSE #> 8408   526 0.6066376 0.129241961  fv Log-Normal RP(P), Log-Normal    FALSE #> 8424   527 0.7129661 0.150656058  fv Log-Normal RP(P), Log-Normal    FALSE #> 8440   528 0.9281260 0.195995962  fv Log-Normal RP(P), Log-Normal    FALSE #> 8456   529 0.9355893 0.196208641  fv Log-Normal RP(P), Log-Normal    FALSE #> 8472   530 0.4504997 0.097884739  fv Log-Normal RP(P), Log-Normal    FALSE #> 8488   531 1.0001840 0.211155769  fv Log-Normal RP(P), Log-Normal    FALSE #> 8504   532 0.7216514 0.152077098  fv Log-Normal RP(P), Log-Normal    FALSE #> 8520   533 0.6905167 0.145804123  fv Log-Normal RP(P), Log-Normal    FALSE #> 8536   534 0.7425754 0.157498257  fv Log-Normal RP(P), Log-Normal    FALSE #> 8552   535 0.8638945 0.181911550  fv Log-Normal RP(P), Log-Normal    FALSE #> 8568   536 0.5969459 0.128825659  fv Log-Normal RP(P), Log-Normal    FALSE #> 8584   537 1.2497526 0.261387193  fv Log-Normal RP(P), Log-Normal     TRUE #> 8600   538 0.5072017 0.109014290  fv Log-Normal RP(P), Log-Normal    FALSE #> 8616   539 0.6856868 0.144442198  fv Log-Normal RP(P), Log-Normal    FALSE #> 8632   540 0.6145395 0.130947333  fv Log-Normal RP(P), Log-Normal    FALSE #> 8648   541 0.9003393 0.188467630  fv Log-Normal RP(P), Log-Normal    FALSE #> 8664   542 0.8263942 0.175286712  fv Log-Normal RP(P), Log-Normal    FALSE #> 8680   543 0.7581448 0.159106779  fv Log-Normal RP(P), Log-Normal    FALSE #> 8696   544 0.7628214 0.161333872  fv Log-Normal RP(P), Log-Normal    FALSE #> 8712   545 0.5729157 0.121622886  fv Log-Normal RP(P), Log-Normal    FALSE #> 8728   546 0.9048540 0.189585012  fv Log-Normal RP(P), Log-Normal    FALSE #> 8744   547 0.6888985 0.146237060  fv Log-Normal RP(P), Log-Normal    FALSE #> 8760   548 0.5388485 0.114867872  fv Log-Normal RP(P), Log-Normal    FALSE #> 8776   549 0.8844165 0.187783761  fv Log-Normal RP(P), Log-Normal    FALSE #> 8792   550 0.5216935 0.112325747  fv Log-Normal RP(P), Log-Normal    FALSE #> 8808   551 0.7981204 0.168826559  fv Log-Normal RP(P), Log-Normal    FALSE #> 8824   552 0.7043843 0.148695174  fv Log-Normal RP(P), Log-Normal    FALSE #> 8840   553 0.8456647 0.176887854  fv Log-Normal RP(P), Log-Normal    FALSE #> 8856   554 0.9029274 0.189275208  fv Log-Normal RP(P), Log-Normal    FALSE #> 8872   555 0.8338211 0.176687000  fv Log-Normal RP(P), Log-Normal    FALSE #> 8888   556 0.8771735 0.184240708  fv Log-Normal RP(P), Log-Normal    FALSE #> 8904   557 0.6994326 0.147519245  fv Log-Normal RP(P), Log-Normal    FALSE #> 8920   558 0.6675003 0.140850673  fv Log-Normal RP(P), Log-Normal    FALSE #> 8936   559 0.6142336 0.132089175  fv Log-Normal RP(P), Log-Normal    FALSE #> 8952   560 0.7787745 0.163344772  fv Log-Normal RP(P), Log-Normal    FALSE #> 8968   561 1.2512491 0.263068744  fv Log-Normal RP(P), Log-Normal     TRUE #> 8984   562 0.8979502 0.193680428  fv Log-Normal RP(P), Log-Normal    FALSE #> 9000   563 0.7952133 0.167695091  fv Log-Normal RP(P), Log-Normal    FALSE #> 9016   564 0.6546188 0.141378883  fv Log-Normal RP(P), Log-Normal    FALSE #> 9032   565 0.5562875 0.118568595  fv Log-Normal RP(P), Log-Normal    FALSE #> 9048   566 0.7792219 0.167873773  fv Log-Normal RP(P), Log-Normal    FALSE #> 9064   567 0.7419551 0.158352827  fv Log-Normal RP(P), Log-Normal    FALSE #> 9080   568 0.5379826 0.115223660  fv Log-Normal RP(P), Log-Normal    FALSE #> 9096   569 0.8461880 0.177143809  fv Log-Normal RP(P), Log-Normal    FALSE #> 9112   570 0.5799163 0.126002183  fv Log-Normal RP(P), Log-Normal    FALSE #> 9128   571 0.6983018 0.147992860  fv Log-Normal RP(P), Log-Normal    FALSE #> 9144   572 0.6094856 0.128898875  fv Log-Normal RP(P), Log-Normal    FALSE #> 9160   573 0.6552102 0.139040826  fv Log-Normal RP(P), Log-Normal    FALSE #> 9176   574 0.7370159 0.156124757  fv Log-Normal RP(P), Log-Normal    FALSE #> 9192   575 0.6652785 0.143329039  fv Log-Normal RP(P), Log-Normal    FALSE #> 9208   576 0.7048646 0.153254428  fv Log-Normal RP(P), Log-Normal    FALSE #> 9224   577 0.9167098 0.191907050  fv Log-Normal RP(P), Log-Normal    FALSE #> 9240   578 0.5877871 0.124960960  fv Log-Normal RP(P), Log-Normal    FALSE #> 9256   579 0.6016587 0.129835840  fv Log-Normal RP(P), Log-Normal    FALSE #> 9272   580 0.4967792 0.106638664  fv Log-Normal RP(P), Log-Normal    FALSE #> 9288   581 0.7942713 0.168013813  fv Log-Normal RP(P), Log-Normal    FALSE #> 9304   582 0.7758947 0.163986474  fv Log-Normal RP(P), Log-Normal    FALSE #> 9320   583 1.0340860 0.215440480  fv Log-Normal RP(P), Log-Normal    FALSE #> 9336   584 0.5415647 0.114993075  fv Log-Normal RP(P), Log-Normal    FALSE #> 9352   585 0.7207829 0.152475876  fv Log-Normal RP(P), Log-Normal    FALSE #> 9368   586 0.7453476 0.156907193  fv Log-Normal RP(P), Log-Normal    FALSE #> 9384   587 0.9381973 0.198355658  fv Log-Normal RP(P), Log-Normal    FALSE #> 9400   588 0.5818223 0.125118084  fv Log-Normal RP(P), Log-Normal    FALSE #> 9416   589 0.6031015 0.127799852  fv Log-Normal RP(P), Log-Normal    FALSE #> 9432   590 0.8243606 0.175362711  fv Log-Normal RP(P), Log-Normal    FALSE #> 9448   591 0.8454856 0.179386646  fv Log-Normal RP(P), Log-Normal    FALSE #> 9464   592 0.8293279 0.176428804  fv Log-Normal RP(P), Log-Normal    FALSE #> 9480   593 0.9311402 0.195578453  fv Log-Normal RP(P), Log-Normal    FALSE #> 9496   594 0.7218285 0.152965863  fv Log-Normal RP(P), Log-Normal    FALSE #> 9512   595 0.5446728 0.116520386  fv Log-Normal RP(P), Log-Normal    FALSE #> 9528   596 0.7359036 0.154479518  fv Log-Normal RP(P), Log-Normal    FALSE #> 9544   597 0.6073041 0.128691128  fv Log-Normal RP(P), Log-Normal    FALSE #> 9560   598 1.0738637 0.225311791  fv Log-Normal RP(P), Log-Normal     TRUE #> 9576   599 0.7532017 0.160702035  fv Log-Normal RP(P), Log-Normal    FALSE #> 9592   600 0.5313748 0.113456443  fv Log-Normal RP(P), Log-Normal    FALSE #> 9608   601 1.1762696 0.247690829  fv Log-Normal RP(P), Log-Normal     TRUE #> 9624   602 0.9869736 0.208165567  fv Log-Normal RP(P), Log-Normal    FALSE #> 9640   603 0.4156015 0.089856898  fv Log-Normal RP(P), Log-Normal     TRUE #> 9656   604 0.7562236 0.159112332  fv Log-Normal RP(P), Log-Normal    FALSE #> 9672   605 1.2356747 0.256716135  fv Log-Normal RP(P), Log-Normal     TRUE #> 9688   606 0.6753278 0.142231678  fv Log-Normal RP(P), Log-Normal    FALSE #> 9704   607 0.6100967 0.131469811  fv Log-Normal RP(P), Log-Normal    FALSE #> 9720   608 0.4384887 0.095081321  fv Log-Normal RP(P), Log-Normal    FALSE #> 9736   609 0.8299211 0.173601960  fv Log-Normal RP(P), Log-Normal    FALSE #> 9752   610 0.6332973 0.134588006  fv Log-Normal RP(P), Log-Normal    FALSE #> 9768   611 0.8122094 0.173499710  fv Log-Normal RP(P), Log-Normal    FALSE #> 9784   612 0.5912979 0.127198194  fv Log-Normal RP(P), Log-Normal    FALSE #> 9800   613 0.8186354 0.172772228  fv Log-Normal RP(P), Log-Normal    FALSE #> 9816   614 0.7847640 0.167841517  fv Log-Normal RP(P), Log-Normal    FALSE #> 9832   615 0.8697196 0.183433952  fv Log-Normal RP(P), Log-Normal    FALSE #> 9848   616 0.7828021 0.165439563  fv Log-Normal RP(P), Log-Normal    FALSE #> 9864   617 0.7846758 0.165990375  fv Log-Normal RP(P), Log-Normal    FALSE #> 9880   618 0.6823886 0.144285111  fv Log-Normal RP(P), Log-Normal    FALSE #> 9896   619 0.8198467 0.172557735  fv Log-Normal RP(P), Log-Normal    FALSE #> 9912   620 0.8185053 0.173878169  fv Log-Normal RP(P), Log-Normal    FALSE #> 9928   621 0.5663070 0.121246532  fv Log-Normal RP(P), Log-Normal    FALSE #> 9944   622 0.6302051 0.135303879  fv Log-Normal RP(P), Log-Normal    FALSE #> 9960   623 0.8783656 0.185679970  fv Log-Normal RP(P), Log-Normal    FALSE #> 9976   624 0.5837145 0.125580529  fv Log-Normal RP(P), Log-Normal    FALSE #> 9992   625 0.7638096 0.162639813  fv Log-Normal RP(P), Log-Normal    FALSE #> 10008  626 0.6378765 0.135851705  fv Log-Normal RP(P), Log-Normal    FALSE #> 10024  627 0.6253581 0.133238137  fv Log-Normal RP(P), Log-Normal    FALSE #> 10040  628 0.6694660 0.143767320  fv Log-Normal RP(P), Log-Normal    FALSE #> 10056  629 0.6392508 0.134956518  fv Log-Normal RP(P), Log-Normal    FALSE #> 10072  630 0.8351055 0.175262379  fv Log-Normal RP(P), Log-Normal    FALSE #> 10088  631 0.6715506 0.142213889  fv Log-Normal RP(P), Log-Normal    FALSE #> 10104  632 0.7776511 0.166721548  fv Log-Normal RP(P), Log-Normal    FALSE #> 10120  633 0.4910653 0.105740740  fv Log-Normal RP(P), Log-Normal    FALSE #> 10136  634 0.6757272 0.146378271  fv Log-Normal RP(P), Log-Normal    FALSE #> 10152  635 0.9063761 0.191682174  fv Log-Normal RP(P), Log-Normal    FALSE #> 10168  636 0.4196552 0.091166924  fv Log-Normal RP(P), Log-Normal     TRUE #> 10184  637 0.8757533 0.183031296  fv Log-Normal RP(P), Log-Normal    FALSE #> 10200  638 0.6839210 0.145657493  fv Log-Normal RP(P), Log-Normal    FALSE #> 10216  639 0.4323877 0.093765125  fv Log-Normal RP(P), Log-Normal    FALSE #> 10232  640 0.7235325 0.154259737  fv Log-Normal RP(P), Log-Normal    FALSE #> 10248  641 0.5858835 0.125271208  fv Log-Normal RP(P), Log-Normal    FALSE #> 10264  642 0.6400015 0.136631265  fv Log-Normal RP(P), Log-Normal    FALSE #> 10280  643 0.6645860 0.140296010  fv Log-Normal RP(P), Log-Normal    FALSE #> 10296  644 0.6198370 0.131300536  fv Log-Normal RP(P), Log-Normal    FALSE #> 10312  645 0.7546684 0.158768904  fv Log-Normal RP(P), Log-Normal    FALSE #> 10328  646 0.8385785 0.177475226  fv Log-Normal RP(P), Log-Normal    FALSE #> 10344  647 0.6580940 0.139159678  fv Log-Normal RP(P), Log-Normal    FALSE #> 10360  648 1.0746985 0.225177802  fv Log-Normal RP(P), Log-Normal     TRUE #> 10376  649 0.6308988 0.136195814  fv Log-Normal RP(P), Log-Normal    FALSE #> 10392  650 0.8130078 0.170621264  fv Log-Normal RP(P), Log-Normal    FALSE #> 10408  651 0.7933222 0.168885503  fv Log-Normal RP(P), Log-Normal    FALSE #> 10424  652 1.2738896 0.266494041  fv Log-Normal RP(P), Log-Normal     TRUE #> 10440  653 0.5448666 0.117388941  fv Log-Normal RP(P), Log-Normal    FALSE #> 10456  654 0.5869671 0.127309334  fv Log-Normal RP(P), Log-Normal    FALSE #> 10472  655 0.7057334 0.149997780  fv Log-Normal RP(P), Log-Normal    FALSE #> 10488  656 0.7129275 0.153121486  fv Log-Normal RP(P), Log-Normal    FALSE #> 10504  657 0.5353386 0.115029010  fv Log-Normal RP(P), Log-Normal    FALSE #> 10520  658 1.1549453 0.246231092  fv Log-Normal RP(P), Log-Normal     TRUE #> 10536  659 1.0576571 0.224338275  fv Log-Normal RP(P), Log-Normal     TRUE #> 10552  660 0.8581929 0.181070027  fv Log-Normal RP(P), Log-Normal    FALSE #> 10568  661 0.5674477 0.122688388  fv Log-Normal RP(P), Log-Normal    FALSE #> 10584  662 0.5904257 0.125804978  fv Log-Normal RP(P), Log-Normal    FALSE #> 10600  663 0.7041159 0.150024604  fv Log-Normal RP(P), Log-Normal    FALSE #> 10616  664 0.7043639 0.148712478  fv Log-Normal RP(P), Log-Normal    FALSE #> 10632  665 0.8841932 0.186280285  fv Log-Normal RP(P), Log-Normal    FALSE #> 10648  666 1.1689748 0.244131156  fv Log-Normal RP(P), Log-Normal     TRUE #> 10664  667 0.6492794 0.137535848  fv Log-Normal RP(P), Log-Normal    FALSE #> 10680  668 0.6326668 0.134054761  fv Log-Normal RP(P), Log-Normal    FALSE #> 10696  669 0.9185632 0.194052341  fv Log-Normal RP(P), Log-Normal    FALSE #> 10712  670 0.6207600 0.134223983  fv Log-Normal RP(P), Log-Normal    FALSE #> 10728  671 0.7991586 0.168309558  fv Log-Normal RP(P), Log-Normal    FALSE #> 10744  672 0.9575733 0.201175273  fv Log-Normal RP(P), Log-Normal    FALSE #> 10760  673 0.6513651 0.137218194  fv Log-Normal RP(P), Log-Normal    FALSE #> 10776  674 0.8220483 0.172548799  fv Log-Normal RP(P), Log-Normal    FALSE #> 10792  675 0.6542018 0.144640287  fv Log-Normal RP(P), Log-Normal    FALSE #> 10808  676 0.8790873 0.184291598  fv Log-Normal RP(P), Log-Normal    FALSE #> 10824  677 0.6809257 0.143968265  fv Log-Normal RP(P), Log-Normal    FALSE #> 10840  678 0.5718382 0.122834126  fv Log-Normal RP(P), Log-Normal    FALSE #> 10856  679 0.6114109 0.129944256  fv Log-Normal RP(P), Log-Normal    FALSE #> 10872  680 0.7505338 0.159061609  fv Log-Normal RP(P), Log-Normal    FALSE #> 10888  681 1.0280511 0.216051309  fv Log-Normal RP(P), Log-Normal    FALSE #> 10904  682 0.6922360 0.148686633  fv Log-Normal RP(P), Log-Normal    FALSE #> 10920  683 0.8160459 0.173021939  fv Log-Normal RP(P), Log-Normal    FALSE #> 10936  684 1.0630183 0.223385225  fv Log-Normal RP(P), Log-Normal     TRUE #> 10952  685 0.6666902 0.142274967  fv Log-Normal RP(P), Log-Normal    FALSE #> 10968  686 0.8987511 0.188963362  fv Log-Normal RP(P), Log-Normal    FALSE #> 10984  687 0.5852340 0.124061916  fv Log-Normal RP(P), Log-Normal    FALSE #> 11000  688 0.6144874 0.131917388  fv Log-Normal RP(P), Log-Normal    FALSE #> 11016  689 0.6590173 0.140975370  fv Log-Normal RP(P), Log-Normal    FALSE #> 11032  690 0.8739728 0.185496227  fv Log-Normal RP(P), Log-Normal    FALSE #> 11048  691 0.8872853 0.197067546  fv Log-Normal RP(P), Log-Normal    FALSE #> 11064  692 0.6787807 0.144806881  fv Log-Normal RP(P), Log-Normal    FALSE #> 11080  693 0.5443873 0.119028846  fv Log-Normal RP(P), Log-Normal    FALSE #> 11096  694 0.7311672 0.154007226  fv Log-Normal RP(P), Log-Normal    FALSE #> 11112  695 0.6437481 0.137433283  fv Log-Normal RP(P), Log-Normal    FALSE #> 11128  696 0.7796264 0.164444138  fv Log-Normal RP(P), Log-Normal    FALSE #> 11144  697 0.8935000 0.188433606  fv Log-Normal RP(P), Log-Normal    FALSE #> 11160  698 0.4678461 0.101556136  fv Log-Normal RP(P), Log-Normal    FALSE #> 11176  699 0.7196923 0.155980475  fv Log-Normal RP(P), Log-Normal    FALSE #> 11192  700 0.5476779 0.117221047  fv Log-Normal RP(P), Log-Normal    FALSE #> 11208  701 0.8599958 0.182880781  fv Log-Normal RP(P), Log-Normal    FALSE #> 11224  702 0.8684833 0.183468073  fv Log-Normal RP(P), Log-Normal    FALSE #> 11240  703 0.7419362 0.157049016  fv Log-Normal RP(P), Log-Normal    FALSE #> 11256  704 0.6422867 0.136115231  fv Log-Normal RP(P), Log-Normal    FALSE #> 11272  705 0.7063944 0.150466188  fv Log-Normal RP(P), Log-Normal    FALSE #> 11288  706 0.7662985 0.163581974  fv Log-Normal RP(P), Log-Normal    FALSE #> 11304  707 0.9691335 0.204225294  fv Log-Normal RP(P), Log-Normal    FALSE #> 11320  708 0.9287081 0.195346367  fv Log-Normal RP(P), Log-Normal    FALSE #> 11336  709 0.6754008 0.142370655  fv Log-Normal RP(P), Log-Normal    FALSE #> 11352  710 0.5128397 0.109458719  fv Log-Normal RP(P), Log-Normal    FALSE #> 11368  711 0.6479967 0.136748161  fv Log-Normal RP(P), Log-Normal    FALSE #> 11384  712 0.6760885 0.143146392  fv Log-Normal RP(P), Log-Normal    FALSE #> 11400  713 1.0587777 0.226926537  fv Log-Normal RP(P), Log-Normal     TRUE #> 11416  714 0.8103874 0.172391443  fv Log-Normal RP(P), Log-Normal    FALSE #> 11432  715 0.8616532 0.183384192  fv Log-Normal RP(P), Log-Normal    FALSE #> 11448  716 0.7627301 0.161883444  fv Log-Normal RP(P), Log-Normal    FALSE #> 11464  717 0.8267358 0.177301411  fv Log-Normal RP(P), Log-Normal    FALSE #> 11480  718 0.8593514 0.180603036  fv Log-Normal RP(P), Log-Normal    FALSE #> 11496  719 0.9936252 0.208990822  fv Log-Normal RP(P), Log-Normal    FALSE #> 11512  720 0.7871392 0.166350119  fv Log-Normal RP(P), Log-Normal    FALSE #> 11528  721 0.6135418 0.132430075  fv Log-Normal RP(P), Log-Normal    FALSE #> 11544  722 0.8048205 0.169138187  fv Log-Normal RP(P), Log-Normal    FALSE #> 11560  723 0.6336888 0.133709011  fv Log-Normal RP(P), Log-Normal    FALSE #> 11576  724 0.7570649 0.162435404  fv Log-Normal RP(P), Log-Normal    FALSE #> 11592  725 0.7604770 0.159995583  fv Log-Normal RP(P), Log-Normal    FALSE #> 11608  726 0.6782080 0.145809322  fv Log-Normal RP(P), Log-Normal    FALSE #> 11624  727 0.7886025 0.166038605  fv Log-Normal RP(P), Log-Normal    FALSE #> 11640  728 1.0345666 0.216064658  fv Log-Normal RP(P), Log-Normal    FALSE #> 11656  729 0.7882665 0.167027116  fv Log-Normal RP(P), Log-Normal    FALSE #> 11672  730 0.8534764 0.181349873  fv Log-Normal RP(P), Log-Normal    FALSE #> 11688  731 0.5696950 0.125642912  fv Log-Normal RP(P), Log-Normal    FALSE #> 11704  732 0.5007401 0.109484333  fv Log-Normal RP(P), Log-Normal    FALSE #> 11720  733 0.9913558 0.210293324  fv Log-Normal RP(P), Log-Normal    FALSE #> 11736  734 0.8984254 0.190596960  fv Log-Normal RP(P), Log-Normal    FALSE #> 11752  735 1.0045821 0.209748742  fv Log-Normal RP(P), Log-Normal    FALSE #> 11768  736 0.8546730 0.181624950  fv Log-Normal RP(P), Log-Normal    FALSE #> 11784  737 0.7414317 0.156044397  fv Log-Normal RP(P), Log-Normal    FALSE #> 11800  738 0.5333088 0.113415989  fv Log-Normal RP(P), Log-Normal    FALSE #> 11816  739 0.6038187 0.128465242  fv Log-Normal RP(P), Log-Normal    FALSE #> 11832  740 0.8191753 0.172172004  fv Log-Normal RP(P), Log-Normal    FALSE #> 11848  741 1.0159289 0.214617959  fv Log-Normal RP(P), Log-Normal    FALSE #> 11864  742 0.6619821 0.140186802  fv Log-Normal RP(P), Log-Normal    FALSE #> 11880  743 0.7680557 0.163357348  fv Log-Normal RP(P), Log-Normal    FALSE #> 11896  744 0.7937786 0.169514194  fv Log-Normal RP(P), Log-Normal    FALSE #> 11912  745 0.7812691 0.167323224  fv Log-Normal RP(P), Log-Normal    FALSE #> 11928  746 0.5998087 0.127989709  fv Log-Normal RP(P), Log-Normal    FALSE #> 11944  747 0.6568120 0.139744765  fv Log-Normal RP(P), Log-Normal    FALSE #> 11960  748 0.8625290 0.182461742  fv Log-Normal RP(P), Log-Normal    FALSE #> 11976  749 0.9144162 0.190862281  fv Log-Normal RP(P), Log-Normal    FALSE #> 11992  750 0.7515278 0.158912889  fv Log-Normal RP(P), Log-Normal    FALSE #> 12008  751 0.8962423 0.188510336  fv Log-Normal RP(P), Log-Normal    FALSE #> 12024  752 0.6919608 0.146949221  fv Log-Normal RP(P), Log-Normal    FALSE #> 12040  753 0.4449890 0.097148812  fv Log-Normal RP(P), Log-Normal    FALSE #> 12056  754 0.7894919 0.168720623  fv Log-Normal RP(P), Log-Normal    FALSE #> 12072  755 0.6692060 0.141962729  fv Log-Normal RP(P), Log-Normal    FALSE #> 12088  756 0.3791451 0.083307800  fv Log-Normal RP(P), Log-Normal     TRUE #> 12104  757 0.6778335 0.142766228  fv Log-Normal RP(P), Log-Normal    FALSE #> 12120  758 0.7767465 0.163788353  fv Log-Normal RP(P), Log-Normal    FALSE #> 12136  759 0.6789998 0.145162056  fv Log-Normal RP(P), Log-Normal    FALSE #> 12152  760 0.8683342 0.182144862  fv Log-Normal RP(P), Log-Normal    FALSE #> 12168  761 0.6313595 0.135984337  fv Log-Normal RP(P), Log-Normal    FALSE #> 12184  762 0.7627906 0.160815382  fv Log-Normal RP(P), Log-Normal    FALSE #> 12200  763 0.5636338 0.120435542  fv Log-Normal RP(P), Log-Normal    FALSE #> 12216  764 0.6550750 0.139154314  fv Log-Normal RP(P), Log-Normal    FALSE #> 12232  765 0.9488338 0.199510616  fv Log-Normal RP(P), Log-Normal    FALSE #> 12248  766 0.6551717 0.138803758  fv Log-Normal RP(P), Log-Normal    FALSE #> 12264  767 0.8757343 0.184959715  fv Log-Normal RP(P), Log-Normal    FALSE #> 12280  768 0.5887793 0.126819926  fv Log-Normal RP(P), Log-Normal    FALSE #> 12296  769 1.0171618 0.215500452  fv Log-Normal RP(P), Log-Normal    FALSE #> 12312  770 0.6148654 0.132775036  fv Log-Normal RP(P), Log-Normal    FALSE #> 12328  771 0.5976970 0.132295735  fv Log-Normal RP(P), Log-Normal    FALSE #> 12344  772 0.5871158 0.125960628  fv Log-Normal RP(P), Log-Normal    FALSE #> 12360  773 0.5685788 0.121516270  fv Log-Normal RP(P), Log-Normal    FALSE #> 12376  774 0.7244019 0.153578398  fv Log-Normal RP(P), Log-Normal    FALSE #> 12392  775 0.6802586 0.143831811  fv Log-Normal RP(P), Log-Normal    FALSE #> 12408  776 0.6866827 0.146032205  fv Log-Normal RP(P), Log-Normal    FALSE #> 12424  777 0.6203969 0.132172613  fv Log-Normal RP(P), Log-Normal    FALSE #> 12440  778 0.7183854 0.158574836  fv Log-Normal RP(P), Log-Normal    FALSE #> 12456  779 0.6753122 0.144883399  fv Log-Normal RP(P), Log-Normal    FALSE #> 12472  780 0.6160541 0.131106508  fv Log-Normal RP(P), Log-Normal    FALSE #> 12488  781 0.7326720 0.155116377  fv Log-Normal RP(P), Log-Normal    FALSE #> 12504  782 0.6621541 0.142738346  fv Log-Normal RP(P), Log-Normal    FALSE #> 12520  783 0.6287083 0.133979151  fv Log-Normal RP(P), Log-Normal    FALSE #> 12536  784 0.8098296 0.172015664  fv Log-Normal RP(P), Log-Normal    FALSE #> 12552  785 0.4960243 0.106711922  fv Log-Normal RP(P), Log-Normal    FALSE #> 12568  786 0.6282832 0.132700908  fv Log-Normal RP(P), Log-Normal    FALSE #> 12584  787 1.0193503 0.214991602  fv Log-Normal RP(P), Log-Normal    FALSE #> 12600  788 0.7023544 0.148436749  fv Log-Normal RP(P), Log-Normal    FALSE #> 12616  789 0.9366437 0.198809199  fv Log-Normal RP(P), Log-Normal    FALSE #> 12632  790 0.7471967 0.159328647  fv Log-Normal RP(P), Log-Normal    FALSE #> 12648  791 0.4173760 0.089707369  fv Log-Normal RP(P), Log-Normal     TRUE #> 12664  792 0.5457081 0.116097924  fv Log-Normal RP(P), Log-Normal    FALSE #> 12680  793 0.8483324 0.177748663  fv Log-Normal RP(P), Log-Normal    FALSE #> 12696  794 0.6784384 0.143937841  fv Log-Normal RP(P), Log-Normal    FALSE #> 12712  795 0.6359556 0.134828170  fv Log-Normal RP(P), Log-Normal    FALSE #> 12728  796 0.6165200 0.132435256  fv Log-Normal RP(P), Log-Normal    FALSE #> 12744  797 0.6907832 0.150317886  fv Log-Normal RP(P), Log-Normal    FALSE #> 12760  798 0.4117881 0.088709883  fv Log-Normal RP(P), Log-Normal     TRUE #> 12776  799 0.7682074 0.162286568  fv Log-Normal RP(P), Log-Normal    FALSE #> 12792  800 0.7651115 0.163718433  fv Log-Normal RP(P), Log-Normal    FALSE #> 12808  801 0.9873650 0.205793074  fv Log-Normal RP(P), Log-Normal    FALSE #> 12824  802 0.8000314 0.169900579  fv Log-Normal RP(P), Log-Normal    FALSE #> 12840  803 0.6589400 0.139023748  fv Log-Normal RP(P), Log-Normal    FALSE #> 12856  804 0.7561575 0.159117690  fv Log-Normal RP(P), Log-Normal    FALSE #> 12872  805 0.8335457 0.177422828  fv Log-Normal RP(P), Log-Normal    FALSE #> 12888  806 0.7948196 0.167169091  fv Log-Normal RP(P), Log-Normal    FALSE #> 12904  807 0.6478946 0.137327899  fv Log-Normal RP(P), Log-Normal    FALSE #> 12920  808 0.5049294 0.107753449  fv Log-Normal RP(P), Log-Normal    FALSE #> 12936  809 0.6866783 0.146444220  fv Log-Normal RP(P), Log-Normal    FALSE #> 12952  810 0.8176093 0.175570535  fv Log-Normal RP(P), Log-Normal    FALSE #> 12968  811 0.4701681 0.101472086  fv Log-Normal RP(P), Log-Normal    FALSE #> 12984  812 0.7254187 0.154409760  fv Log-Normal RP(P), Log-Normal    FALSE #> 13000  813 0.8822935 0.186603747  fv Log-Normal RP(P), Log-Normal    FALSE #> 13016  814 0.6854783 0.145765097  fv Log-Normal RP(P), Log-Normal    FALSE #> 13032  815 0.6016377 0.128446956  fv Log-Normal RP(P), Log-Normal    FALSE #> 13048  816 0.7010985 0.149468580  fv Log-Normal RP(P), Log-Normal    FALSE #> 13064  817 0.4708990 0.102155376  fv Log-Normal RP(P), Log-Normal    FALSE #> 13080  818 0.6450147 0.137380618  fv Log-Normal RP(P), Log-Normal    FALSE #> 13096  819 0.8378345 0.176970921  fv Log-Normal RP(P), Log-Normal    FALSE #> 13112  820 0.8576343 0.180150135  fv Log-Normal RP(P), Log-Normal    FALSE #> 13128  821 0.5662469 0.120721140  fv Log-Normal RP(P), Log-Normal    FALSE #> 13144  822 0.8889136 0.187187876  fv Log-Normal RP(P), Log-Normal    FALSE #> 13160  823 0.9775185 0.205187695  fv Log-Normal RP(P), Log-Normal    FALSE #> 13176  824 0.9211403 0.195513547  fv Log-Normal RP(P), Log-Normal    FALSE #> 13192  825 0.7635747 0.160829429  fv Log-Normal RP(P), Log-Normal    FALSE #> 13208  826 0.8164489 0.174414205  fv Log-Normal RP(P), Log-Normal    FALSE #> 13224  827 0.8926966 0.188893449  fv Log-Normal RP(P), Log-Normal    FALSE #> 13240  828 0.7527147 0.166002735  fv Log-Normal RP(P), Log-Normal    FALSE #> 13256  829 0.7122050 0.151290715  fv Log-Normal RP(P), Log-Normal    FALSE #> 13272  830 0.8138187 0.170842420  fv Log-Normal RP(P), Log-Normal    FALSE #> 13288  831 0.8730454 0.184519785  fv Log-Normal RP(P), Log-Normal    FALSE #> 13304  832 0.5916892 0.128420243  fv Log-Normal RP(P), Log-Normal    FALSE #> 13320  833 0.8830502 0.188067591  fv Log-Normal RP(P), Log-Normal    FALSE #> 13336  834 0.6506210 0.138700701  fv Log-Normal RP(P), Log-Normal    FALSE #> 13352  835 0.6835081 0.144988682  fv Log-Normal RP(P), Log-Normal    FALSE #> 13368  836 0.7839667 0.166049829  fv Log-Normal RP(P), Log-Normal    FALSE #> 13384  837 0.7779566 0.164337100  fv Log-Normal RP(P), Log-Normal    FALSE #> 13400  838 0.7060874 0.150748480  fv Log-Normal RP(P), Log-Normal    FALSE #> 13416  839 0.5924718 0.126535761  fv Log-Normal RP(P), Log-Normal    FALSE #> 13432  840 0.6193618 0.130899012  fv Log-Normal RP(P), Log-Normal    FALSE #> 13448  841 0.9297818 0.194868377  fv Log-Normal RP(P), Log-Normal    FALSE #> 13464  842 0.5606622 0.119736556  fv Log-Normal RP(P), Log-Normal    FALSE #> 13480  843 0.6762162 0.144251070  fv Log-Normal RP(P), Log-Normal    FALSE #> 13496  844 0.9144180 0.191981506  fv Log-Normal RP(P), Log-Normal    FALSE #> 13512  845 0.9881628 0.211034090  fv Log-Normal RP(P), Log-Normal    FALSE #> 13528  846 0.5534972 0.118336281  fv Log-Normal RP(P), Log-Normal    FALSE #> 13544  847 1.0290028 0.214054040  fv Log-Normal RP(P), Log-Normal    FALSE #> 13560  848 0.8411118 0.179136575  fv Log-Normal RP(P), Log-Normal    FALSE #> 13576  849 0.6203488 0.132377496  fv Log-Normal RP(P), Log-Normal    FALSE #> 13592  850 0.8147564 0.170744905  fv Log-Normal RP(P), Log-Normal    FALSE #> 13608  851 0.6998219 0.148832242  fv Log-Normal RP(P), Log-Normal    FALSE #> 13624  852 0.7564399 0.162157304  fv Log-Normal RP(P), Log-Normal    FALSE #> 13640  853 1.0395607 0.217703991  fv Log-Normal RP(P), Log-Normal    FALSE #> 13656  854 0.7111847 0.153481986  fv Log-Normal RP(P), Log-Normal    FALSE #> 13672  855 0.6556235 0.141046741  fv Log-Normal RP(P), Log-Normal    FALSE #> 13688  856 0.8817583 0.185649134  fv Log-Normal RP(P), Log-Normal    FALSE #> 13704  857 0.8236771 0.176693971  fv Log-Normal RP(P), Log-Normal    FALSE #> 13720  858 1.0746228 0.225811089  fv Log-Normal RP(P), Log-Normal     TRUE #> 13736  859 0.9032464 0.189257870  fv Log-Normal RP(P), Log-Normal    FALSE #> 13752  860 0.6669187 0.140695981  fv Log-Normal RP(P), Log-Normal    FALSE #> 13768  861 0.4674381 0.100584211  fv Log-Normal RP(P), Log-Normal    FALSE #> 13784  862 0.6539350 0.139109487  fv Log-Normal RP(P), Log-Normal    FALSE #> 13800  863 0.6985242 0.149374254  fv Log-Normal RP(P), Log-Normal    FALSE #> 13816  864 0.9300939 0.195732499  fv Log-Normal RP(P), Log-Normal    FALSE #> 13832  865 0.9147309 0.192068804  fv Log-Normal RP(P), Log-Normal    FALSE #> 13848  866 0.7371777 0.155715515  fv Log-Normal RP(P), Log-Normal    FALSE #> 13864  867 0.6011364 0.129343485  fv Log-Normal RP(P), Log-Normal    FALSE #> 13880  868 0.9004135 0.190191869  fv Log-Normal RP(P), Log-Normal    FALSE #> 13896  869 0.5327774 0.115070470  fv Log-Normal RP(P), Log-Normal    FALSE #> 13912  870 0.7729887 0.162396364  fv Log-Normal RP(P), Log-Normal    FALSE #> 13928  871 0.5056960 0.108030427  fv Log-Normal RP(P), Log-Normal    FALSE #> 13944  872 0.4679061 0.100976748  fv Log-Normal RP(P), Log-Normal    FALSE #> 13960  873 0.8761508 0.183471906  fv Log-Normal RP(P), Log-Normal    FALSE #> 13976  874 0.7799599 0.169034662  fv Log-Normal RP(P), Log-Normal    FALSE #> 13992  875 0.6787270 0.145232289  fv Log-Normal RP(P), Log-Normal    FALSE #> 14008  876 0.6180641 0.132265443  fv Log-Normal RP(P), Log-Normal    FALSE #> 14024  877 0.5860993 0.126704444  fv Log-Normal RP(P), Log-Normal    FALSE #> 14040  878 0.6935008 0.147945921  fv Log-Normal RP(P), Log-Normal    FALSE #> 14056  879 0.6991619 0.148966789  fv Log-Normal RP(P), Log-Normal    FALSE #> 14072  880 0.8484464 0.178825011  fv Log-Normal RP(P), Log-Normal    FALSE #> 14088  881 0.5680401 0.122215485  fv Log-Normal RP(P), Log-Normal    FALSE #> 14104  882 0.7194115 0.152466317  fv Log-Normal RP(P), Log-Normal    FALSE #> 14120  883 0.6455610 0.138335850  fv Log-Normal RP(P), Log-Normal    FALSE #> 14136  884 0.5987946 0.129856482  fv Log-Normal RP(P), Log-Normal    FALSE #> 14152  885 0.7790563 0.165257741  fv Log-Normal RP(P), Log-Normal    FALSE #> 14168  886 0.6659939 0.143104558  fv Log-Normal RP(P), Log-Normal    FALSE #> 14184  887 0.3835719 0.083984835  fv Log-Normal RP(P), Log-Normal     TRUE #> 14200  888 0.6800915 0.145916762  fv Log-Normal RP(P), Log-Normal    FALSE #> 14216  889 0.7790675 0.168710053  fv Log-Normal RP(P), Log-Normal    FALSE #> 14232  890 0.7112296 0.150790256  fv Log-Normal RP(P), Log-Normal    FALSE #> 14248  891 0.7533556 0.158934342  fv Log-Normal RP(P), Log-Normal    FALSE #> 14264  892 1.0280236 0.216825888  fv Log-Normal RP(P), Log-Normal    FALSE #> 14280  893 0.4979805 0.108875811  fv Log-Normal RP(P), Log-Normal    FALSE #> 14296  894 0.5899637 0.125759510  fv Log-Normal RP(P), Log-Normal    FALSE #> 14312  895 0.8458281 0.181512736  fv Log-Normal RP(P), Log-Normal    FALSE #> 14328  896 0.6045651 0.132440253  fv Log-Normal RP(P), Log-Normal    FALSE #> 14344  897 0.6866283 0.146988855  fv Log-Normal RP(P), Log-Normal    FALSE #> 14360  898 0.9461391 0.207475067  fv Log-Normal RP(P), Log-Normal    FALSE #> 14376  899 0.9445390 0.209309102  fv Log-Normal RP(P), Log-Normal    FALSE #> 14392  900 0.7393498 0.158497566  fv Log-Normal RP(P), Log-Normal    FALSE #> 14408  901 0.7860897 0.165549053  fv Log-Normal RP(P), Log-Normal    FALSE #> 14424  902 0.8546871 0.180690608  fv Log-Normal RP(P), Log-Normal    FALSE #> 14440  903 0.5857383 0.126360181  fv Log-Normal RP(P), Log-Normal    FALSE #> 14456  904 0.7061914 0.151616081  fv Log-Normal RP(P), Log-Normal    FALSE #> 14472  905 0.7376254 0.156073478  fv Log-Normal RP(P), Log-Normal    FALSE #> 14488  906 0.7232913 0.153209296  fv Log-Normal RP(P), Log-Normal    FALSE #> 14504  907 0.6382404 0.136709915  fv Log-Normal RP(P), Log-Normal    FALSE #> 14520  908 0.5651374 0.123783693  fv Log-Normal RP(P), Log-Normal    FALSE #> 14536  909 0.9548552 0.202591456  fv Log-Normal RP(P), Log-Normal    FALSE #> 14552  910 0.6873823 0.148859446  fv Log-Normal RP(P), Log-Normal    FALSE #> 14568  911 0.6891131 0.146179957  fv Log-Normal RP(P), Log-Normal    FALSE #> 14584  912 0.3917437 0.085173152  fv Log-Normal RP(P), Log-Normal     TRUE #> 14600  913 0.6144485 0.130166853  fv Log-Normal RP(P), Log-Normal    FALSE #> 14616  914 0.8656710 0.182025187  fv Log-Normal RP(P), Log-Normal    FALSE #> 14632  915 0.6897622 0.146139260  fv Log-Normal RP(P), Log-Normal    FALSE #> 14648  916 0.7306908 0.154546332  fv Log-Normal RP(P), Log-Normal    FALSE #> 14664  917 0.5319260 0.114753494  fv Log-Normal RP(P), Log-Normal    FALSE #> 14680  918 0.5755386 0.122888377  fv Log-Normal RP(P), Log-Normal    FALSE #> 14696  919 0.6552902 0.138537843  fv Log-Normal RP(P), Log-Normal    FALSE #> 14712  920 0.6870121 0.145734240  fv Log-Normal RP(P), Log-Normal    FALSE #> 14728  921 1.1915721 0.250004473  fv Log-Normal RP(P), Log-Normal     TRUE #> 14744  922 0.6152027 0.130501228  fv Log-Normal RP(P), Log-Normal    FALSE #> 14760  923 1.0916553 0.230692777  fv Log-Normal RP(P), Log-Normal     TRUE #> 14776  924 0.6760298 0.142944236  fv Log-Normal RP(P), Log-Normal    FALSE #> 14792  925 0.7494020 0.158189841  fv Log-Normal RP(P), Log-Normal    FALSE #> 14808  926 0.9539570 0.201126456  fv Log-Normal RP(P), Log-Normal    FALSE #> 14824  927 0.8094500 0.170148180  fv Log-Normal RP(P), Log-Normal    FALSE #> 14840  928 0.6872926 0.144714385  fv Log-Normal RP(P), Log-Normal    FALSE #> 14856  929 0.7639833 0.160366801  fv Log-Normal RP(P), Log-Normal    FALSE #> 14872  930 0.5785785 0.123893681  fv Log-Normal RP(P), Log-Normal    FALSE #> 14888  931 0.8122490 0.171642861  fv Log-Normal RP(P), Log-Normal    FALSE #> 14904  932 0.5424141 0.116670467  fv Log-Normal RP(P), Log-Normal    FALSE #> 14920  933 0.5758885 0.122632998  fv Log-Normal RP(P), Log-Normal    FALSE #> 14936  934 0.6847454 0.144785290  fv Log-Normal RP(P), Log-Normal    FALSE #> 14952  935 0.8990435 0.189337431  fv Log-Normal RP(P), Log-Normal    FALSE #> 14968  936 0.7029922 0.148015811  fv Log-Normal RP(P), Log-Normal    FALSE #> 14984  937 0.8511214 0.180869991  fv Log-Normal RP(P), Log-Normal    FALSE #> 15000  938 0.9018481 0.192865935  fv Log-Normal RP(P), Log-Normal    FALSE #> 15016  939 0.5681631 0.120827024  fv Log-Normal RP(P), Log-Normal    FALSE #> 15032  940 0.8683425 0.190570808  fv Log-Normal RP(P), Log-Normal    FALSE #> 15048  941 0.4731799 0.101370652  fv Log-Normal RP(P), Log-Normal    FALSE #> 15064  942 0.8718579 0.184619662  fv Log-Normal RP(P), Log-Normal    FALSE #> 15080  943 0.5215956 0.111687693  fv Log-Normal RP(P), Log-Normal    FALSE #> 15096  944 0.6585742 0.139791246  fv Log-Normal RP(P), Log-Normal    FALSE #> 15112  945 0.9998814 0.208886842  fv Log-Normal RP(P), Log-Normal    FALSE #> 15128  946 0.8286117 0.174615350  fv Log-Normal RP(P), Log-Normal    FALSE #> 15144  947 0.8353904 0.175679093  fv Log-Normal RP(P), Log-Normal    FALSE #> 15160  948 0.4626225 0.099317399  fv Log-Normal RP(P), Log-Normal    FALSE #> 15176  949 0.7781009 0.168477774  fv Log-Normal RP(P), Log-Normal    FALSE #> 15192  950 0.7759783 0.163272466  fv Log-Normal RP(P), Log-Normal    FALSE #> 15208  951 0.5897491 0.127953505  fv Log-Normal RP(P), Log-Normal    FALSE #> 15224  952 0.6290545 0.134915562  fv Log-Normal RP(P), Log-Normal    FALSE #> 15240  953 0.6030549 0.128014906  fv Log-Normal RP(P), Log-Normal    FALSE #> 15256  954 0.8211460 0.173732484  fv Log-Normal RP(P), Log-Normal    FALSE #> 15272  955 0.7009093 0.148157664  fv Log-Normal RP(P), Log-Normal    FALSE #> 15288  956 0.8915759 0.187676590  fv Log-Normal RP(P), Log-Normal    FALSE #> 15304  957 0.6267329 0.133922808  fv Log-Normal RP(P), Log-Normal    FALSE #> 15320  958 0.6016424 0.128035145  fv Log-Normal RP(P), Log-Normal    FALSE #> 15336  959 0.6840954 0.143990005  fv Log-Normal RP(P), Log-Normal    FALSE #> 15352  960 0.5972503 0.128658505  fv Log-Normal RP(P), Log-Normal    FALSE #> 15368  961 0.8240171 0.173195111  fv Log-Normal RP(P), Log-Normal    FALSE #> 15384  962 0.8506117 0.181056393  fv Log-Normal RP(P), Log-Normal    FALSE #> 15400  963 0.8979819 0.188022071  fv Log-Normal RP(P), Log-Normal    FALSE #> 15416  964 0.6863717 0.145397560  fv Log-Normal RP(P), Log-Normal    FALSE #> 15432  965 0.5656577 0.120857677  fv Log-Normal RP(P), Log-Normal    FALSE #> 15448  966 1.0575889 0.222503361  fv Log-Normal RP(P), Log-Normal     TRUE #> 15464  967 0.9055166 0.192117872  fv Log-Normal RP(P), Log-Normal    FALSE #> 15480  968 0.8399767 0.178050315  fv Log-Normal RP(P), Log-Normal    FALSE #> 15496  969 1.0258198 0.213819100  fv Log-Normal RP(P), Log-Normal    FALSE #> 15512  970 0.7745776 0.163833552  fv Log-Normal RP(P), Log-Normal    FALSE #> 15528  971 0.9605636 0.200926578  fv Log-Normal RP(P), Log-Normal    FALSE #> 15544  972 0.6146916 0.130993578  fv Log-Normal RP(P), Log-Normal    FALSE #> 15560  973 0.9199785 0.192746059  fv Log-Normal RP(P), Log-Normal    FALSE #> 15576  974 0.9125999 0.192011883  fv Log-Normal RP(P), Log-Normal    FALSE #> 15592  975 1.0480335 0.219730800  fv Log-Normal RP(P), Log-Normal    FALSE #> 15608  976 0.8193862 0.179589718  fv Log-Normal RP(P), Log-Normal    FALSE #> 15624  977 1.1556586 0.244268056  fv Log-Normal RP(P), Log-Normal     TRUE #> 15640  978 0.8382332 0.180255798  fv Log-Normal RP(P), Log-Normal    FALSE #> 15656  979 0.6259659 0.132736866  fv Log-Normal RP(P), Log-Normal    FALSE #> 15672  980 0.8406804 0.182112889  fv Log-Normal RP(P), Log-Normal    FALSE #> 15688  981 0.6702017 0.142022616  fv Log-Normal RP(P), Log-Normal    FALSE #> 15704  982 0.7070367 0.153212663  fv Log-Normal RP(P), Log-Normal    FALSE #> 15720  983 0.7404223 0.156213950  fv Log-Normal RP(P), Log-Normal    FALSE #> 15736  984 0.6419067 0.135852588  fv Log-Normal RP(P), Log-Normal    FALSE #> 15752  985 0.8310183 0.173870127  fv Log-Normal RP(P), Log-Normal    FALSE #> 15768  986 0.7701285 0.162750927  fv Log-Normal RP(P), Log-Normal    FALSE #> 15784  987 0.6682787 0.141252244  fv Log-Normal RP(P), Log-Normal    FALSE #> 15800  988 0.9022389 0.190619051  fv Log-Normal RP(P), Log-Normal    FALSE #> 15816  989 0.9754269 0.206348524  fv Log-Normal RP(P), Log-Normal    FALSE #> 15832  990 0.7016794 0.147600528  fv Log-Normal RP(P), Log-Normal    FALSE #> 15848  991 0.7990861 0.167185785  fv Log-Normal RP(P), Log-Normal    FALSE #> 15864  992 0.7155265 0.151583447  fv Log-Normal RP(P), Log-Normal    FALSE #> 15880  993 0.7555724 0.158552064  fv Log-Normal RP(P), Log-Normal    FALSE #> 15896  994 0.7013507 0.151341125  fv Log-Normal RP(P), Log-Normal    FALSE #> 15912  995 0.6369622 0.137876294  fv Log-Normal RP(P), Log-Normal    FALSE #> 15928  996 0.7173666 0.152233112  fv Log-Normal RP(P), Log-Normal    FALSE #> 15944  997 0.7181560 0.152642728  fv Log-Normal RP(P), Log-Normal    FALSE #> 15960  998 0.6523091 0.140451142  fv Log-Normal RP(P), Log-Normal    FALSE #> 15976  999 0.8016289 0.171180170  fv Log-Normal RP(P), Log-Normal    FALSE #> 15992 1000 0.7201794 0.155276856  fv Log-Normal RP(P), Log-Normal    FALSE"},{"path":"https://ellessenne.github.io/rsimsum/reference/frailty.html","id":null,"dir":"Reference","previous_headings":"","what":"Example of a simulation study on frailty survival models — frailty","title":"Example of a simulation study on frailty survival models — frailty","text":"dataset simulation study comparing frailty flexible parametric models fitted using penalised likelihood semiparametric frailty models. models fitted assuming Gamma log-Normal frailty. One thousand datasets simulated, containing binary treatment variable log-hazard ratio -0.50. Clustered survival data simulated assuming 50 clusters 50 individuals , mixture Weibull baseline hazard function frailty following either Gamma Log-Normal distribution. comparison involves estimates log-treatment effect, estimates heterogeneity (.e. estimated frailty variance).","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/frailty.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Example of a simulation study on frailty survival models — frailty","text":"","code":"frailty  frailty2"},{"path":"https://ellessenne.github.io/rsimsum/reference/frailty.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Example of a simulation study on frailty survival models — frailty","text":"data frame 16,000 rows 6 variables: Simulated dataset number. b Point estimate. se Standard error point estimate. par estimand. trt log-treatment effect, fv variance frailty. fv_dist true frailty distribution. model Method used (Cox, Gamma, Cox, Log-Normal, RP(P), Gamma, RP(P), Log-Normal). object class data.frame 16000 rows 7 columns.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/frailty.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Example of a simulation study on frailty survival models — frailty","text":"frailty2 version dataset model column split two columns, m_baseline m_frailty.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/frailty.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Example of a simulation study on frailty survival models — frailty","text":"","code":"data(\"frailty\", package = \"rsimsum\") data(\"frailty2\", package = \"rsimsum\")"},{"path":"https://ellessenne.github.io/rsimsum/reference/get_data.html","id":null,"dir":"Reference","previous_headings":"","what":"get_data — get_data","title":"get_data — get_data","text":"Extract data slots object class simsum, summary.simsum, multisimsum, summary.multisimsum.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/get_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"get_data — get_data","text":"","code":"get_data(x, stats = NULL, ...)"},{"path":"https://ellessenne.github.io/rsimsum/reference/get_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"get_data — get_data","text":"x object class simsum. stats Summary statistics include; can scalar value vector. Possible choices : nsim, number replications non-missing point estimates standard error. thetamean, average point estimate. thetamedian, median point estimate. se2mean, average standard error. se2median, median standard error. bias, bias point estimate. empse, empirical standard error. mse, mean squared error. relprec, percentage gain precision relative reference method. modelse, model-based standard error. relerror, relative percentage error standard error. cover, coverage nominal level\\ becover, bias-eliminated coverage nominal level\\ power, power (1 - level)\\ Defaults NULL, case summary statistics returned. ... Ignored.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/get_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"get_data — get_data","text":"data.frame containing summary statistics simulation study.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/get_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"get_data — get_data","text":"","code":"data(MIsim) x <- simsum(   data = MIsim, estvarname = \"b\", true = 0.5, se = \"se\",   methodvar = \"method\" ) #> 'ref' method was not specified, CC set as the reference get_data(x) #> Warning: `get_data()` was deprecated in rsimsum 0.10.0. #> ℹ Please use `tidy()` instead. #>           stat           est         mcse  method #> 1         nsim  1.000000e+03           NA      CC #> 2    thetamean  5.167662e-01           NA      CC #> 3  thetamedian  5.069935e-01           NA      CC #> 4      se2mean  2.163731e-02           NA      CC #> 5    se2median  2.114245e-02           NA      CC #> 6         bias  1.676616e-02 0.0047786757      CC #> 7        rbias  3.353232e-02 0.0095573514      CC #> 8        empse  1.511150e-01 0.0033807248      CC #> 9          mse  2.309401e-02 0.0011338389      CC #> 10     relprec  0.000000e+00 0.0000000000      CC #> 11     modelse  1.470963e-01 0.0005274099      CC #> 12    relerror -2.659384e+00 2.2054817330      CC #> 13       cover  9.430000e-01 0.0073315073      CC #> 14     becover  9.400000e-01 0.0075099933      CC #> 15       power  9.460000e-01 0.0071473072      CC #> 16        nsim  1.000000e+03           NA MI_LOGT #> 17   thetamean  5.009231e-01           NA MI_LOGT #> 18 thetamedian  4.969223e-01           NA MI_LOGT #> 19     se2mean  1.820915e-02           NA MI_LOGT #> 20   se2median  1.721574e-02           NA MI_LOGT #> 21        bias  9.230987e-04 0.0041744101 MI_LOGT #> 22       rbias  1.846197e-03 0.0083488201 MI_LOGT #> 23       empse  1.320064e-01 0.0029532306 MI_LOGT #> 24         mse  1.740913e-02 0.0008812805 MI_LOGT #> 25     relprec  3.104634e+01 3.9374726448 MI_LOGT #> 26     modelse  1.349413e-01 0.0006046041 MI_LOGT #> 27    relerror  2.223259e+00 2.3323382138 MI_LOGT #> 28       cover  9.490000e-01 0.0069569390 MI_LOGT #> 29     becover  9.490000e-01 0.0069569390 MI_LOGT #> 30       power  9.690000e-01 0.0054807846 MI_LOGT #> 31        nsim  1.000000e+03           NA    MI_T #> 32   thetamean  4.988092e-01           NA    MI_T #> 33 thetamedian  4.939111e-01           NA    MI_T #> 34     se2mean  1.791169e-02           NA    MI_T #> 35   se2median  1.693191e-02           NA    MI_T #> 36        bias -1.190835e-03 0.0042509767    MI_T #> 37       rbias -2.381670e-03 0.0085019534    MI_T #> 38       empse  1.344277e-01 0.0030073985    MI_T #> 39         mse  1.805415e-02 0.0009112249    MI_T #> 40     relprec  2.636816e+01 3.8423791135    MI_T #> 41     modelse  1.338346e-01 0.0005856362    MI_T #> 42    relerror -4.412233e-01 2.2695215740    MI_T #> 43       cover  9.430000e-01 0.0073315073    MI_T #> 44     becover  9.430000e-01 0.0073315073    MI_T #> 45       power  9.630000e-01 0.0059691708    MI_T  # Extracting only bias and coverage: get_data(x, stats = c(\"bias\", \"cover\")) #>    stat           est        mcse  method #> 1  bias  0.0167661608 0.004778676      CC #> 2 cover  0.9430000000 0.007331507      CC #> 3  bias  0.0009230987 0.004174410 MI_LOGT #> 4 cover  0.9490000000 0.006956939 MI_LOGT #> 5  bias -0.0011908351 0.004250977    MI_T #> 6 cover  0.9430000000 0.007331507    MI_T  xs <- summary(x) get_data(xs) #>           stat           est         mcse  method        lower        upper #> 1         nsim  1.000000e+03           NA      CC           NA           NA #> 2    thetamean  5.167662e-01           NA      CC           NA           NA #> 3  thetamedian  5.069935e-01           NA      CC           NA           NA #> 4      se2mean  2.163731e-02           NA      CC           NA           NA #> 5    se2median  2.114245e-02           NA      CC           NA           NA #> 6         bias  1.676616e-02 0.0047786757      CC  0.007400129  0.026132193 #> 7        rbias  3.353232e-02 0.0095573514      CC  0.014800257  0.052264386 #> 8        empse  1.511150e-01 0.0033807248      CC  0.144488895  0.157741093 #> 9          mse  2.309401e-02 0.0011338389      CC  0.020871727  0.025316293 #> 10     relprec  0.000000e+00 0.0000000000      CC  0.000000000  0.000000000 #> 11     modelse  1.470963e-01 0.0005274099      CC  0.146062561  0.148129970 #> 12    relerror -2.659384e+00 2.2054817330      CC -6.982048962  1.663280569 #> 13       cover  9.430000e-01 0.0073315073      CC  0.928630510  0.957369490 #> 14     becover  9.400000e-01 0.0075099933      CC  0.925280684  0.954719316 #> 15       power  9.460000e-01 0.0071473072      CC  0.931991535  0.960008465 #> 16        nsim  1.000000e+03           NA MI_LOGT           NA           NA #> 17   thetamean  5.009231e-01           NA MI_LOGT           NA           NA #> 18 thetamedian  4.969223e-01           NA MI_LOGT           NA           NA #> 19     se2mean  1.820915e-02           NA MI_LOGT           NA           NA #> 20   se2median  1.721574e-02           NA MI_LOGT           NA           NA #> 21        bias  9.230987e-04 0.0041744101 MI_LOGT -0.007258595  0.009104792 #> 22       rbias  1.846197e-03 0.0083488201 MI_LOGT -0.014517189  0.018209584 #> 23       empse  1.320064e-01 0.0029532306 MI_LOGT  0.126218211  0.137794663 #> 24         mse  1.740913e-02 0.0008812805 MI_LOGT  0.015681848  0.019136404 #> 25     relprec  3.104634e+01 3.9374726448 MI_LOGT 23.329036439 38.763645587 #> 26     modelse  1.349413e-01 0.0006046041 MI_LOGT  0.133756280  0.136126285 #> 27    relerror  2.223259e+00 2.3323382138 MI_LOGT -2.348039558  6.794558240 #> 28       cover  9.490000e-01 0.0069569390 MI_LOGT  0.935364650  0.962635350 #> 29     becover  9.490000e-01 0.0069569390 MI_LOGT  0.935364650  0.962635350 #> 30       power  9.690000e-01 0.0054807846 MI_LOGT  0.958257860  0.979742140 #> 31        nsim  1.000000e+03           NA    MI_T           NA           NA #> 32   thetamean  4.988092e-01           NA    MI_T           NA           NA #> 33 thetamedian  4.939111e-01           NA    MI_T           NA           NA #> 34     se2mean  1.791169e-02           NA    MI_T           NA           NA #> 35   se2median  1.693191e-02           NA    MI_T           NA           NA #> 36        bias -1.190835e-03 0.0042509767    MI_T -0.009522596  0.007140926 #> 37       rbias -2.381670e-03 0.0085019534    MI_T -0.019045193  0.014281852 #> 38       empse  1.344277e-01 0.0030073985    MI_T  0.128533294  0.140322080 #> 39         mse  1.805415e-02 0.0009112249    MI_T  0.016268182  0.019840118 #> 40     relprec  2.636816e+01 3.8423791135    MI_T 18.837236583 33.899085938 #> 41     modelse  1.338346e-01 0.0005856362    MI_T  0.132686735  0.134982387 #> 42    relerror -4.412233e-01 2.2695215740    MI_T -4.889403808  4.006957286 #> 43       cover  9.430000e-01 0.0073315073    MI_T  0.928630510  0.957369490 #> 44     becover  9.430000e-01 0.0073315073    MI_T  0.928630510  0.957369490 #> 45       power  9.630000e-01 0.0059691708    MI_T  0.951300640  0.974699360"},{"path":"https://ellessenne.github.io/rsimsum/reference/is.multisimsum.html","id":null,"dir":"Reference","previous_headings":"","what":"is.multisimsum — is.multisimsum","title":"is.multisimsum — is.multisimsum","text":"Reports whether x multisimsum object","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/is.multisimsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"is.multisimsum — is.multisimsum","text":"","code":"is.multisimsum(x)"},{"path":"https://ellessenne.github.io/rsimsum/reference/is.multisimsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"is.multisimsum — is.multisimsum","text":"x object test.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/is.simsum.html","id":null,"dir":"Reference","previous_headings":"","what":"is.simsum — is.simsum","title":"is.simsum — is.simsum","text":"Reports whether x simsum object","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/is.simsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"is.simsum — is.simsum","text":"","code":"is.simsum(x)"},{"path":"https://ellessenne.github.io/rsimsum/reference/is.simsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"is.simsum — is.simsum","text":"x object test.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/is.summary.multisimsum.html","id":null,"dir":"Reference","previous_headings":"","what":"is.summary.multisimsum — is.summary.multisimsum","title":"is.summary.multisimsum — is.summary.multisimsum","text":"Reports whether x summary.multisimsum object","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/is.summary.multisimsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"is.summary.multisimsum — is.summary.multisimsum","text":"","code":"is.summary.multisimsum(x)"},{"path":"https://ellessenne.github.io/rsimsum/reference/is.summary.multisimsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"is.summary.multisimsum — is.summary.multisimsum","text":"x object test.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/is.summary.simsum.html","id":null,"dir":"Reference","previous_headings":"","what":"is.summary.simsum — is.summary.simsum","title":"is.summary.simsum — is.summary.simsum","text":"Reports whether x summary.simsum object","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/is.summary.simsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"is.summary.simsum — is.summary.simsum","text":"","code":"is.summary.simsum(x)"},{"path":"https://ellessenne.github.io/rsimsum/reference/is.summary.simsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"is.summary.simsum — is.summary.simsum","text":"x object test.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/kable.simsum.html","id":null,"dir":"Reference","previous_headings":"","what":"Create 'kable's — kable.simsum","title":"Create 'kable's — kable.simsum","text":"Create tables LaTeX, HTML, Markdown, reStructuredText objects class simsum, summary.simsum, multisimsum, summary.multisimsum.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/kable.simsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create 'kable's — kable.simsum","text":"","code":"# S3 method for simsum kable(x, stats = NULL, digits = max(3, getOption(\"digits\") - 3), ...)  # S3 method for summary.simsum kable(x, stats = NULL, digits = max(3, getOption(\"digits\") - 3), ...)  # S3 method for multisimsum kable(x, stats = NULL, digits = max(3, getOption(\"digits\") - 3), ...)  # S3 method for summary.multisimsum kable(x, stats = NULL, digits = max(3, getOption(\"digits\") - 3), ...)  kable(x, ...)"},{"path":"https://ellessenne.github.io/rsimsum/reference/kable.simsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create 'kable's — kable.simsum","text":"x object class simsum, summary.simsum, multisimsum, summary.multisimsum; stats Summary statistics include. See tidy() details; digits Maximum number digits numeric columns; ... arguments passed knitr::kable().","code":""},{"path":[]},{"path":"https://ellessenne.github.io/rsimsum/reference/multisimsum.html","id":null,"dir":"Reference","previous_headings":"","what":"Analyses of simulation studies with multiple estimands at once, including Monte Carlo error — multisimsum","title":"Analyses of simulation studies with multiple estimands at once, including Monte Carlo error — multisimsum","text":"multisimsum extension simsum() can handle multiple estimated parameters . multisimsum calls simsum() internally, estimands . one new argument must set calling multisimsum: par, string representing column data identifies different estimands. Additionally, multisimsum argument true can named vector, names correspond estimand (see examples). Otherwise, constant values (values identified column data) utilised. See vignette(\"E-custom-inputs\", package = \"rsimsum\") details.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/multisimsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Analyses of simulation studies with multiple estimands at once, including Monte Carlo error — multisimsum","text":"","code":"multisimsum(   data,   par,   estvarname,   se = NULL,   true = NULL,   methodvar = NULL,   ref = NULL,   by = NULL,   ci.limits = NULL,   df = NULL,   dropbig = FALSE,   x = FALSE,   control = list() )"},{"path":"https://ellessenne.github.io/rsimsum/reference/multisimsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Analyses of simulation studies with multiple estimands at once, including Monte Carlo error — multisimsum","text":"data data.frame variable names interpreted. tidy format, e.g. variable forms column observation forms row. par name variable containing methods compare. Can NULL. estvarname name variable containing point estimates. Note column names forbidden: listed Details section. se name variable containing standard errors point estimates. Note column names forbidden: listed Details section. true true value parameter; used calculations bias, relative bias, coverage, mean squared error required whenever performance measures requested. true can numeric value string identifies column data. former setting, simsum assume value replications; conversely, replication use distinct value true identified row data. See vignette(\"E-custom-inputs\", package = \"rsimsum\") details. Note column names forbidden: listed Details section. methodvar name variable containing methods compare. instance, methods models compared within simulation study. Can NULL. vector column names passed simsum(), columns combined single column named :methodvar using base::interaction() function computing performance measures. Note column names forbidden: listed Details section. ref Specifies reference method relative precision calculated. useful methodvar specified. vector variable names compute performance measures list factors. Factors listed (potentially several) data-generating mechanisms used simulate data different scenarios (e.g. sample size, true distribution variable, etc.). Can NULL. Note column names forbidden: listed Details section. ci.limits Can used specify limits (lower upper) confidence intervals used calculate coverage bias-eliminated coverage. Useful non-Wald type estimators (e.g. bootstrap). Defaults NULL, Wald-type confidence intervals based provided SEs calculated coverage; otherwise, can numeric vector (fixed confidence intervals) vector strings identify columns data replication-specific lower upper limits. See vignette(\"E-custom-inputs\", package = \"rsimsum\") details. Note column names forbidden: listed Details section. df Can used specify column containing replication-specific number degrees freedom used calculate confidence intervals coverage (bias-eliminated coverage) assuming t-distributed critical values (rather normal theory intervals). See vignette(\"E-custom-inputs\", package = \"rsimsum\") details. Note column names forbidden: listed Details section. dropbig Specifies point estimates standard errors beyond maximum acceptable values dropped. Defaults FALSE. x Set TRUE include data argument used calculate summary statistics (.e. pre-processing input dataset e.g. removing values deemed large via dropbig argument) slot. Calling simsum x = TRUE required produce zipper plots. downside size returned object increases considerably, therefore set FALSE default. control list parameters control behaviour simsum. Possible values : mcse, whether calculate Monte Carlo standard errors. Defaults TRUE; level, significance level used coverage, bias-eliminated coverage, power. Defaults 0.95; power_df, whether use robust critical values t distribution power_df degrees freedom calculating power. Defaults NULL, case Gaussian distribution used; na.rm, whether remove point estimates standard errors either () missing. Defaults TRUE; char.sep, character utilised splitting input dataset data. Generally, changed; dropbig.max, specifies maximum acceptable absolute value point estimates, standardisation. Defaults 10; dropbig.semax, specifies maximum acceptable absolute value standard error, standardisation. Defaults 100 dropbig.robust, specifies whether use robust standardisation (using median inter-quartile range) rather normal standardisation (using mean standard deviation). Defaults TRUE, case robust standardisation used dropbig.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/multisimsum.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Analyses of simulation studies with multiple estimands at once, including Monte Carlo error — multisimsum","text":"object class multisimsum.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/multisimsum.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Analyses of simulation studies with multiple estimands at once, including Monte Carlo error — multisimsum","text":"following names allowed estvarname, se, methodvar, , par: stat, est, mcse, lower, upper, :methodvar.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/multisimsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Analyses of simulation studies with multiple estimands at once, including Monte Carlo error — multisimsum","text":"","code":"data(\"frailty\", package = \"rsimsum\") ms <- multisimsum(   data = frailty,   par = \"par\", true = c(trt = -0.50, fv = 0.75),   estvarname = \"b\", se = \"se\", methodvar = \"model\",   by = \"fv_dist\" ) #> 'ref' method was not specified, Cox, Gamma set as the reference ms #>  #> Estimands variable: par  #> \tUnique estimands: fv, trt  #> \tTrue values: fv = -0.5, trt = 0.75  #>  #> Method variable: model  #> \tUnique methods: Cox, Gamma, Cox, Log-Normal, RP(P), Gamma, RP(P), Log-Normal  #> \tReference method: Cox, Gamma  #>  #> By factors: fv_dist  #>  #> Monte Carlo standard errors were computed."},{"path":"https://ellessenne.github.io/rsimsum/reference/nlp.html","id":null,"dir":"Reference","previous_headings":"","what":"Example of a simulation study on survival modelling — nlp","title":"Example of a simulation study on survival modelling — nlp","text":"dataset simulation study 150 data-generating mechanisms, useful illustrate nested loop plots. simulation study aims compare Cox model flexible parametric models variety scenarios: different baseline hazard functions, sample size, varying amount heterogeneity unaccounted model (simulated white noise given variance). Cox model Royston-Parmar model 5 degrees freedom fit replication.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/nlp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Example of a simulation study on survival modelling — nlp","text":"","code":"nlp"},{"path":"https://ellessenne.github.io/rsimsum/reference/nlp.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Example of a simulation study on survival modelling — nlp","text":"data frame 30,000 rows 10 variables: dgm Data-generating mechanism, 1 150. Simulated dataset number. model Method used, 1 Cox model 2 RP(5) model. b Point estimate log-hazard ratio. se Standard error point estimate. baseline Baseline hazard function simulated dataset. ss Sample size simulated dataset. esigma Standard deviation white noise. pars (Ancillary) Parameters baseline hazard function.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/nlp.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Example of a simulation study on survival modelling — nlp","text":"details simulation study can found R script used generate dataset, available GitHub: https://github.com/ellessenne/rsimsum/blob/master/data-raw/nlp-data.R","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/nlp.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Example of a simulation study on survival modelling — nlp","text":"Cox D.R. 1972. Regression models life-tables. Journal Royal Statistical Society, Series B (Methodological) 34(2):187-220. doi:10.1007/978-1-4612-4380-9_37 Royston, P. Parmar, M.K. 2002. Flexible parametric proportional-hazards proportional-odds models censored survival data, application prognostic modelling estimation treatment effects. Statistics Medicine 21(15):2175-2197 doi:10.1002/sim.1203 Rücker, G. Schwarzer, G. 2014. Presenting simulation results nested loop plot. BMC Medical Research Methodology 14:129 doi:10.1186/1471-2288-14-129","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/nlp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Example of a simulation study on survival modelling — nlp","text":"","code":"data(\"nlp\", package = \"rsimsum\")"},{"path":"https://ellessenne.github.io/rsimsum/reference/nsim.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute number of simulations required — nsim","title":"Compute number of simulations required — nsim","text":"function nsim computes number simulations \\(B\\) perform based accuracy estimate interest, using following equation: $$B = \\left( \\frac{(Z_{1 - \\alpha / 2} + Z_{1 - theta}) \\sigma}{\\delta} \\right) ^ 2,$$ \\(\\delta\\) specified level accuracy estimate interest willing accept (.e. permissible difference true value \\(\\beta\\)), \\(Z_{1 - \\alpha / 2}\\) \\((1 - \\alpha / 2)\\) quantile standard normal distribution, \\(Z_{1 - \\theta}\\) \\((1 - \\theta)\\) quantile standard normal distribution \\((1 - \\theta)\\) power detect specific difference true value significant, \\(\\sigma ^ 2\\) variance parameter interest.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/nsim.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute number of simulations required — nsim","text":"","code":"nsim(alpha, sigma, delta, power = 0.5)"},{"path":"https://ellessenne.github.io/rsimsum/reference/nsim.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute number of simulations required — nsim","text":"alpha Significance level. Must value 0 1. sigma Variance parameter interest. Must greater 0. delta Specified level accuracy estimate interest willing accept. Must greater 0. power Power detect specific difference true value significant. Must value 0 1. Defaults 0.5, e.g. power 50%.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/nsim.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute number of simulations required — nsim","text":"scalar value \\(B\\) representing number simulations perform based accuracy required.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/nsim.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Compute number of simulations required — nsim","text":"Burton, ., Douglas G. Altman, P. Royston. et al. 2006. design simulation studies medical statistics. Statistics Medicine 25: 4279-4292 doi:10.1002/sim.2673","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/nsim.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute number of simulations required — nsim","text":"","code":"# Number of simulations required to produce an estimate to within 5% # accuracy of the true coefficient of 0.349 with a 5% significance level, # assuming the variance of the estimate is 0.0166 and 50% power: nsim(alpha = 0.05, sigma = sqrt(0.0166), delta = 0.349 * 5 / 100, power = 0.5) #> [1] 209.4177  # Number of simulations required to produce an estimate to within 1% # accuracy of the true coefficient of 0.349 with a 5% significance level, # assuming the variance of the estimate is 0.0166 and 50% power: nsim(alpha = 0.05, sigma = sqrt(0.0166), delta = 0.349 * 1 / 100, power = 0.5) #> [1] 5235.443"},{"path":"https://ellessenne.github.io/rsimsum/reference/print.multisimsum.html","id":null,"dir":"Reference","previous_headings":"","what":"print.multisimsum — print.multisimsum","title":"print.multisimsum — print.multisimsum","text":"Print method multisimsum objects","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/print.multisimsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"print.multisimsum — print.multisimsum","text":"","code":"# S3 method for multisimsum print(x, ...)"},{"path":"https://ellessenne.github.io/rsimsum/reference/print.multisimsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"print.multisimsum — print.multisimsum","text":"x object class multisimsum. ... Ignored.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/print.multisimsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"print.multisimsum — print.multisimsum","text":"","code":"data(frailty) ms <- multisimsum(   data = frailty, par = \"par\", true = c(     trt = -0.50,     fv = 0.75   ), estvarname = \"b\", se = \"se\", methodvar = \"model\",   by = \"fv_dist\" ) #> 'ref' method was not specified, Cox, Gamma set as the reference ms #>  #> Estimands variable: par  #> \tUnique estimands: fv, trt  #> \tTrue values: fv = -0.5, trt = 0.75  #>  #> Method variable: model  #> \tUnique methods: Cox, Gamma, Cox, Log-Normal, RP(P), Gamma, RP(P), Log-Normal  #> \tReference method: Cox, Gamma  #>  #> By factors: fv_dist  #>  #> Monte Carlo standard errors were computed.  data(\"frailty\", package = \"rsimsum\") frailty$true <- ifelse(frailty$par == \"trt\", -0.50, 0.75) ms <- multisimsum(data = frailty, par = \"par\", estvarname = \"b\", true = \"true\") ms #>  #> Estimands variable: par  #> \tUnique estimands: fv, trt  #> \tTrue values from column 'true'  #>  #> Method variable: none #>  #> By factors: none #>  #> Monte Carlo standard errors were computed."},{"path":"https://ellessenne.github.io/rsimsum/reference/print.simsum.html","id":null,"dir":"Reference","previous_headings":"","what":"print.simsum — print.simsum","title":"print.simsum — print.simsum","text":"Print method simsum objects","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/print.simsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"print.simsum — print.simsum","text":"","code":"# S3 method for simsum print(x, ...)"},{"path":"https://ellessenne.github.io/rsimsum/reference/print.simsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"print.simsum — print.simsum","text":"x object class simsum. ... Ignored.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/print.simsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"print.simsum — print.simsum","text":"","code":"data(\"MIsim\") x <- simsum(   data = MIsim, estvarname = \"b\", true = 0.5, se = \"se\",   methodvar = \"method\" ) #> 'ref' method was not specified, CC set as the reference x #> Summary of a simulation study with a single estimand. #> True value of the estimand: 0.5  #>  #> Method variable: method  #> \tUnique methods: CC, MI_LOGT, MI_T  #> \tReference method: CC  #>  #> By factors: none #>  #> Monte Carlo standard errors were computed.  MIsim$true <- 0.5 x <- simsum(data = MIsim, estvarname = \"b\", true = \"true\", se = \"se\") x #> Summary of a simulation study with a single estimand. #> True value of the estimand from column 'true'  #>  #> Method variable: none #>  #> By factors: none #>  #> Monte Carlo standard errors were computed."},{"path":"https://ellessenne.github.io/rsimsum/reference/print.summary.multisimsum.html","id":null,"dir":"Reference","previous_headings":"","what":"print.summary.multisimsum — print.summary.multisimsum","title":"print.summary.multisimsum — print.summary.multisimsum","text":"Print method summary.multisimsum objects","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/print.summary.multisimsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"print.summary.multisimsum — print.summary.multisimsum","text":"","code":"# S3 method for summary.multisimsum print(x, digits = 4, mcse = TRUE, ...)"},{"path":"https://ellessenne.github.io/rsimsum/reference/print.summary.multisimsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"print.summary.multisimsum — print.summary.multisimsum","text":"x object class summary.multisimsum. digits Number significant digits used printing. Defaults 4. mcse Monte Carlo standard errors reported? mcse = FALSE, confidence intervals based Monte Carlo standard errors reported instead, see summary.multisimsum(). NULL value passed, point estimates printed regardless whether Monte Carlo standard errors computed . Defaults TRUE. ... Ignored.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/print.summary.multisimsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"print.summary.multisimsum — print.summary.multisimsum","text":"","code":"data(frailty) ms <- multisimsum(   data = frailty, par = \"par\", true = c(     trt = -0.50,     fv = 0.75   ), estvarname = \"b\", se = \"se\", methodvar = \"model\",   by = \"fv_dist\" ) #> 'ref' method was not specified, Cox, Gamma set as the reference sms <- summary(ms, stats = c(\"bias\", \"cover\", \"mse\")) sms #> Values are: #> \tPoint Estimate (Monte Carlo Standard Error) #>  #>     #> Parameter: fv  #>  #> Bias in point estimate: #>     fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma #>       Gamma -0.0124 (0.0045)  0.2299 (0.0076) -0.0179 (0.0044) #>  Log-Normal -0.1064 (0.0043) -0.0175 (0.0049) -0.1066 (0.0041) #>  RP(P), Log-Normal #>    0.2347 (0.0077) #>   -0.0152 (0.0050) #>  #> Mean squared error: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.0203 (0.0010) 0.1107 (0.0055) 0.0195 (0.0009)   0.1145 (0.0057) #>  Log-Normal 0.0287 (0.0010) 0.0244 (0.0011) 0.0284 (0.0010)   0.0248 (0.0012) #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.9201 (0.0087) 0.9220 (0.0085) 0.9300 (0.0082)   0.9030 (0.0094) #>  Log-Normal 0.7503 (0.0140) 0.9020 (0.0094) 0.7683 (0.0134)   0.9280 (0.0082) #>  #>  --------------------------------------------------------------------------------  #>   #> Parameter: trt  #>  #> Bias in point estimate: #>     fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma #>       Gamma -0.0006 (0.0016) -0.0013 (0.0016) -0.0003 (0.0016) #>  Log-Normal -0.0006 (0.0015) -0.0014 (0.0015) -0.0006 (0.0015) #>  RP(P), Log-Normal #>   -0.0015 (0.0016) #>   -0.0016 (0.0015) #>  #> Mean squared error: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.0026 (0.0001) 0.0026 (0.0001) 0.0026 (0.0001)   0.0026 (0.0001) #>  Log-Normal 0.0022 (0.0001) 0.0022 (0.0001) 0.0022 (0.0001)   0.0022 (0.0001) #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.9500 (0.0069) 0.9490 (0.0070) 0.9506 (0.0070)   0.9500 (0.0069) #>  Log-Normal 0.9410 (0.0075) 0.9420 (0.0074) 0.9428 (0.0074)   0.9430 (0.0073)  # Printing less significant digits: print(sms, digits = 3) #> Values are: #> \tPoint Estimate (Monte Carlo Standard Error) #>  #>     #> Parameter: fv  #>  #> Bias in point estimate: #>     fv_dist     Cox, Gamma Cox, Log-Normal   RP(P), Gamma RP(P), Log-Normal #>       Gamma -0.012 (0.005)   0.230 (0.008) -0.018 (0.004)     0.235 (0.008) #>  Log-Normal -0.106 (0.004)  -0.017 (0.005) -0.107 (0.004)    -0.015 (0.005) #>  #> Mean squared error: #>     fv_dist    Cox, Gamma Cox, Log-Normal  RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.020 (0.001)   0.111 (0.005) 0.020 (0.001)     0.114 (0.006) #>  Log-Normal 0.029 (0.001)   0.024 (0.001) 0.028 (0.001)     0.025 (0.001) #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist    Cox, Gamma Cox, Log-Normal  RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.920 (0.009)   0.922 (0.008) 0.930 (0.008)     0.903 (0.009) #>  Log-Normal 0.750 (0.014)   0.902 (0.009) 0.768 (0.013)     0.928 (0.008) #>  #>  --------------------------------------------------------------------------------  #>   #> Parameter: trt  #>  #> Bias in point estimate: #>     fv_dist     Cox, Gamma Cox, Log-Normal   RP(P), Gamma RP(P), Log-Normal #>       Gamma -0.001 (0.002)  -0.001 (0.002) -0.000 (0.002)    -0.002 (0.002) #>  Log-Normal -0.001 (0.001)  -0.001 (0.001) -0.001 (0.001)    -0.002 (0.001) #>  #> Mean squared error: #>     fv_dist    Cox, Gamma Cox, Log-Normal  RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.003 (0.000)   0.003 (0.000) 0.003 (0.000)     0.003 (0.000) #>  Log-Normal 0.002 (0.000)   0.002 (0.000) 0.002 (0.000)     0.002 (0.000) #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist    Cox, Gamma Cox, Log-Normal  RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.950 (0.007)   0.949 (0.007) 0.951 (0.007)     0.950 (0.007) #>  Log-Normal 0.941 (0.007)   0.942 (0.007) 0.943 (0.007)     0.943 (0.007)  # Printing confidence intervals: print(sms, digits = 3, mcse = FALSE) #> Values are: #> \tPoint Estimate (95% Confidence Interval based on Monte Carlo Standard Errors) #>  #>     #> Parameter: fv  #>  #> Bias in point estimate: #>     fv_dist              Cox, Gamma         Cox, Log-Normal #>       Gamma -0.012 (-0.021, -0.003)    0.230 (0.215, 0.245) #>  Log-Normal -0.106 (-0.115, -0.098) -0.017 (-0.027, -0.008) #>             RP(P), Gamma       RP(P), Log-Normal #>  -0.018 (-0.027, -0.009)    0.235 (0.220, 0.250) #>  -0.107 (-0.115, -0.098) -0.015 (-0.025, -0.006) #>  #> Mean squared error: #>     fv_dist           Cox, Gamma      Cox, Log-Normal         RP(P), Gamma #>       Gamma 0.020 (0.018, 0.022) 0.111 (0.100, 0.121) 0.020 (0.018, 0.021) #>  Log-Normal 0.029 (0.027, 0.031) 0.024 (0.022, 0.027) 0.028 (0.026, 0.030) #>     RP(P), Log-Normal #>  0.114 (0.103, 0.126) #>  0.025 (0.023, 0.027) #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist           Cox, Gamma      Cox, Log-Normal         RP(P), Gamma #>       Gamma 0.920 (0.903, 0.937) 0.922 (0.905, 0.939) 0.930 (0.914, 0.946) #>  Log-Normal 0.750 (0.723, 0.778) 0.902 (0.884, 0.920) 0.768 (0.742, 0.794) #>     RP(P), Log-Normal #>  0.903 (0.885, 0.921) #>  0.928 (0.912, 0.944) #>  #>  --------------------------------------------------------------------------------  #>   #> Parameter: trt  #>  #> Bias in point estimate: #>     fv_dist             Cox, Gamma        Cox, Log-Normal #>       Gamma -0.001 (-0.004, 0.003) -0.001 (-0.004, 0.002) #>  Log-Normal -0.001 (-0.004, 0.002) -0.001 (-0.004, 0.002) #>            RP(P), Gamma      RP(P), Log-Normal #>  -0.000 (-0.003, 0.003) -0.002 (-0.005, 0.002) #>  -0.001 (-0.004, 0.002) -0.002 (-0.005, 0.001) #>  #> Mean squared error: #>     fv_dist           Cox, Gamma      Cox, Log-Normal         RP(P), Gamma #>       Gamma 0.003 (0.002, 0.003) 0.003 (0.002, 0.003) 0.003 (0.002, 0.003) #>  Log-Normal 0.002 (0.002, 0.002) 0.002 (0.002, 0.002) 0.002 (0.002, 0.002) #>     RP(P), Log-Normal #>  0.003 (0.002, 0.003) #>  0.002 (0.002, 0.002) #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist           Cox, Gamma      Cox, Log-Normal         RP(P), Gamma #>       Gamma 0.950 (0.936, 0.964) 0.949 (0.935, 0.963) 0.951 (0.937, 0.964) #>  Log-Normal 0.941 (0.926, 0.956) 0.942 (0.928, 0.956) 0.943 (0.928, 0.957) #>     RP(P), Log-Normal #>  0.950 (0.936, 0.964) #>  0.943 (0.929, 0.957)  # Printing values only: print(sms, mcse = NULL) #> Values are: #> \tPoint Estimate #>  #>     #> Parameter: fv  #>  #> Bias in point estimate: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma    -0.0124          0.2299      -0.0179            0.2347 #>  Log-Normal    -0.1064         -0.0175      -0.1066           -0.0152 #>  #> Mean squared error: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma     0.0203          0.1107       0.0195            0.1145 #>  Log-Normal     0.0287          0.0244       0.0284            0.0248 #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma     0.9201          0.9220       0.9300            0.9030 #>  Log-Normal     0.7503          0.9020       0.7683            0.9280 #>  #>  --------------------------------------------------------------------------------  #>   #> Parameter: trt  #>  #> Bias in point estimate: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma    -0.0006         -0.0013      -0.0003           -0.0015 #>  Log-Normal    -0.0006         -0.0014      -0.0006           -0.0016 #>  #> Mean squared error: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma     0.0026          0.0026       0.0026            0.0026 #>  Log-Normal     0.0022          0.0022       0.0022            0.0022 #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma     0.9500          0.9490       0.9506            0.9500 #>  Log-Normal     0.9410          0.9420       0.9428            0.9430"},{"path":"https://ellessenne.github.io/rsimsum/reference/print.summary.simsum.html","id":null,"dir":"Reference","previous_headings":"","what":"print.summary.simsum — print.summary.simsum","title":"print.summary.simsum — print.summary.simsum","text":"Print method summary.simsum objects","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/print.summary.simsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"print.summary.simsum — print.summary.simsum","text":"","code":"# S3 method for summary.simsum print(x, digits = 4, mcse = TRUE, ...)"},{"path":"https://ellessenne.github.io/rsimsum/reference/print.summary.simsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"print.summary.simsum — print.summary.simsum","text":"x object class summary.simsum. digits Number significant digits used printing. Defaults 4. mcse Monte Carlo standard errors reported? mcse = FALSE, confidence intervals based Monte Carlo standard errors reported instead, see summary.simsum(). NULL value passed, point estimates printed regardless whether Monte Carlo standard errors computed . Defaults TRUE. ... Ignored.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/print.summary.simsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"print.summary.simsum — print.summary.simsum","text":"","code":"data(\"MIsim\") x <- simsum(   data = MIsim, estvarname = \"b\", true = 0.5, se = \"se\",   methodvar = \"method\" ) #> 'ref' method was not specified, CC set as the reference xs <- summary(x) xs #> Values are: #> \tPoint Estimate (Monte Carlo Standard Error) #>  #> Non-missing point estimates/standard errors: #>    CC MI_LOGT MI_T #>  1000    1000 1000 #>  #> Average point estimate: #>      CC MI_LOGT   MI_T #>  0.5168  0.5009 0.4988 #>  #> Median point estimate: #>      CC MI_LOGT   MI_T #>  0.5070  0.4969 0.4939 #>  #> Average variance: #>      CC MI_LOGT   MI_T #>  0.0216  0.0182 0.0179 #>  #> Median variance: #>      CC MI_LOGT   MI_T #>  0.0211  0.0172 0.0169 #>  #> Bias in point estimate: #>               CC         MI_LOGT             MI_T #>  0.0168 (0.0048) 0.0009 (0.0042) -0.0012 (0.0043) #>  #> Relative bias in point estimate: #>               CC         MI_LOGT             MI_T #>  0.0335 (0.0096) 0.0018 (0.0083) -0.0024 (0.0085) #>  #> Empirical standard error: #>               CC         MI_LOGT            MI_T #>  0.1511 (0.0034) 0.1320 (0.0030) 0.1344 (0.0030) #>  #> % gain in precision relative to method CC: #>               CC          MI_LOGT             MI_T #>  0.0000 (0.0000) 31.0463 (3.9375) 26.3682 (3.8424) #>  #> Mean squared error: #>               CC         MI_LOGT            MI_T #>  0.0231 (0.0011) 0.0174 (0.0009) 0.0181 (0.0009) #>  #> Model-based standard error: #>               CC         MI_LOGT            MI_T #>  0.1471 (0.0005) 0.1349 (0.0006) 0.1338 (0.0006) #>  #> Relative % error in standard error: #>                CC         MI_LOGT             MI_T #>  -2.6594 (2.2055) 2.2233 (2.3323) -0.4412 (2.2695) #>  #> Coverage of nominal 95% confidence interval: #>               CC         MI_LOGT            MI_T #>  0.9430 (0.0073) 0.9490 (0.0070) 0.9430 (0.0073) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>               CC         MI_LOGT            MI_T #>  0.9400 (0.0075) 0.9490 (0.0070) 0.9430 (0.0073) #>  #> Power of 5% level test: #>               CC         MI_LOGT            MI_T #>  0.9460 (0.0071) 0.9690 (0.0055) 0.9630 (0.0060)  # Printing less significant digits: print(xs, digits = 2) #> Values are: #> \tPoint Estimate (Monte Carlo Standard Error) #>  #> Non-missing point estimates/standard errors: #>    CC MI_LOGT MI_T #>  1000    1000 1000 #>  #> Average point estimate: #>    CC MI_LOGT MI_T #>  0.52    0.50 0.50 #>  #> Median point estimate: #>    CC MI_LOGT MI_T #>  0.51    0.50 0.49 #>  #> Average variance: #>    CC MI_LOGT MI_T #>  0.02    0.02 0.02 #>  #> Median variance: #>    CC MI_LOGT MI_T #>  0.02    0.02 0.02 #>  #> Bias in point estimate: #>           CC     MI_LOGT         MI_T #>  0.02 (0.00) 0.00 (0.00) -0.00 (0.00) #>  #> Relative bias in point estimate: #>           CC     MI_LOGT         MI_T #>  0.03 (0.01) 0.00 (0.01) -0.00 (0.01) #>  #> Empirical standard error: #>           CC     MI_LOGT        MI_T #>  0.15 (0.00) 0.13 (0.00) 0.13 (0.00) #>  #> % gain in precision relative to method CC: #>           CC      MI_LOGT         MI_T #>  0.00 (0.00) 31.05 (3.94) 26.37 (3.84) #>  #> Mean squared error: #>           CC     MI_LOGT        MI_T #>  0.02 (0.00) 0.02 (0.00) 0.02 (0.00) #>  #> Model-based standard error: #>           CC     MI_LOGT        MI_T #>  0.15 (0.00) 0.13 (0.00) 0.13 (0.00) #>  #> Relative % error in standard error: #>            CC     MI_LOGT         MI_T #>  -2.66 (2.21) 2.22 (2.33) -0.44 (2.27) #>  #> Coverage of nominal 95% confidence interval: #>           CC     MI_LOGT        MI_T #>  0.94 (0.01) 0.95 (0.01) 0.94 (0.01) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>           CC     MI_LOGT        MI_T #>  0.94 (0.01) 0.95 (0.01) 0.94 (0.01) #>  #> Power of 5% level test: #>           CC     MI_LOGT        MI_T #>  0.95 (0.01) 0.97 (0.01) 0.96 (0.01)  # Printing confidence intervals: print(xs, mcse = FALSE) #> Values are: #> \tPoint Estimate (95% Confidence Interval based on Monte Carlo Standard Errors) #>  #> Non-missing point estimates/standard errors: #>    CC MI_LOGT MI_T #>  1000    1000 1000 #>  #> Average point estimate: #>      CC MI_LOGT   MI_T #>  0.5168  0.5009 0.4988 #>  #> Median point estimate: #>      CC MI_LOGT   MI_T #>  0.5070  0.4969 0.4939 #>  #> Average variance: #>      CC MI_LOGT   MI_T #>  0.0216  0.0182 0.0179 #>  #> Median variance: #>      CC MI_LOGT   MI_T #>  0.0211  0.0172 0.0169 #>  #> Bias in point estimate: #>                       CC                  MI_LOGT                      MI_T #>  0.0168 (0.0074, 0.0261) 0.0009 (-0.0073, 0.0091) -0.0012 (-0.0095, 0.0071) #>  #> Relative bias in point estimate: #>                       CC                  MI_LOGT                      MI_T #>  0.0335 (0.0148, 0.0523) 0.0018 (-0.0145, 0.0182) -0.0024 (-0.0190, 0.0143) #>  #> Empirical standard error: #>                       CC                 MI_LOGT                    MI_T #>  0.1511 (0.1445, 0.1577) 0.1320 (0.1262, 0.1378) 0.1344 (0.1285, 0.1403) #>  #> % gain in precision relative to method CC: #>                       CC                    MI_LOGT                       MI_T #>  0.0000 (0.0000, 0.0000) 31.0463 (23.3290, 38.7636) 26.3682 (18.8372, 33.8991) #>  #> Mean squared error: #>                       CC                 MI_LOGT                    MI_T #>  0.0231 (0.0209, 0.0253) 0.0174 (0.0157, 0.0191) 0.0181 (0.0163, 0.0198) #>  #> Model-based standard error: #>                       CC                 MI_LOGT                    MI_T #>  0.1471 (0.1461, 0.1481) 0.1349 (0.1338, 0.1361) 0.1338 (0.1327, 0.1350) #>  #> Relative % error in standard error: #>                         CC                  MI_LOGT                      MI_T #>  -2.6594 (-6.9820, 1.6633) 2.2233 (-2.3480, 6.7946) -0.4412 (-4.8894, 4.0070) #>  #> Coverage of nominal 95% confidence interval: #>                       CC                 MI_LOGT                    MI_T #>  0.9430 (0.9286, 0.9574) 0.9490 (0.9354, 0.9626) 0.9430 (0.9286, 0.9574) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>                       CC                 MI_LOGT                    MI_T #>  0.9400 (0.9253, 0.9547) 0.9490 (0.9354, 0.9626) 0.9430 (0.9286, 0.9574) #>  #> Power of 5% level test: #>                       CC                 MI_LOGT                    MI_T #>  0.9460 (0.9320, 0.9600) 0.9690 (0.9583, 0.9797) 0.9630 (0.9513, 0.9747)  # Printing values only: print(xs, mcse = NULL) #> Values are: #> \tPoint Estimate #>  #> Non-missing point estimates/standard errors: #>    CC MI_LOGT MI_T #>  1000    1000 1000 #>  #> Average point estimate: #>      CC MI_LOGT   MI_T #>  0.5168  0.5009 0.4988 #>  #> Median point estimate: #>      CC MI_LOGT   MI_T #>  0.5070  0.4969 0.4939 #>  #> Average variance: #>      CC MI_LOGT   MI_T #>  0.0216  0.0182 0.0179 #>  #> Median variance: #>      CC MI_LOGT   MI_T #>  0.0211  0.0172 0.0169 #>  #> Bias in point estimate: #>      CC MI_LOGT    MI_T #>  0.0168  0.0009 -0.0012 #>  #> Relative bias in point estimate: #>      CC MI_LOGT    MI_T #>  0.0335  0.0018 -0.0024 #>  #> Empirical standard error: #>      CC MI_LOGT   MI_T #>  0.1511  0.1320 0.1344 #>  #> % gain in precision relative to method CC: #>      CC MI_LOGT    MI_T #>  0.0000 31.0463 26.3682 #>  #> Mean squared error: #>      CC MI_LOGT   MI_T #>  0.0231  0.0174 0.0181 #>  #> Model-based standard error: #>      CC MI_LOGT   MI_T #>  0.1471  0.1349 0.1338 #>  #> Relative % error in standard error: #>       CC MI_LOGT    MI_T #>  -2.6594  2.2233 -0.4412 #>  #> Coverage of nominal 95% confidence interval: #>      CC MI_LOGT   MI_T #>  0.9430  0.9490 0.9430 #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>      CC MI_LOGT   MI_T #>  0.9400  0.9490 0.9430 #>  #> Power of 5% level test: #>      CC MI_LOGT   MI_T #>  0.9460  0.9690 0.9630"},{"path":"https://ellessenne.github.io/rsimsum/reference/reexports.html","id":null,"dir":"Reference","previous_headings":"","what":"Objects exported from other packages — reexports","title":"Objects exported from other packages — reexports","text":"objects imported packages. Follow links see documentation. generics tidy","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/relhaz.html","id":null,"dir":"Reference","previous_headings":"","what":"Example of a simulation study on survival modelling — relhaz","title":"Example of a simulation study on survival modelling — relhaz","text":"dataset simulation study assessing impact misspecifying baseline hazard survival models regression coefficients. One thousand datasets simulated, containing binary treatment variable log-hazard ratio -0.50. Survival data simulated two different sample sizes, 50 250 individuals, two different baseline hazard functions, exponential Weibull. Consequently, Cox model (Cox, 1972), fully parametric exponential model, Royston-Parmar (Royston Parmar, 2002) model two degrees freedom fit simulated dataset. See vignette(\"B-relhaz\", package = \"rsimsum\") information.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/relhaz.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Example of a simulation study on survival modelling — relhaz","text":"","code":"relhaz"},{"path":"https://ellessenne.github.io/rsimsum/reference/relhaz.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Example of a simulation study on survival modelling — relhaz","text":"data frame 1,200 rows 6 variables: dataset Simulated dataset number. n Sample size simulate dataset. baseline Baseline hazard function simulated dataset. model Method used (Cox, Exp, RP(2)). theta Point estimate log-hazard ratio. se Standard error point estimate.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/relhaz.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Example of a simulation study on survival modelling — relhaz","text":"Cox D.R. 1972. Regression models life-tables. Journal Royal Statistical Society, Series B (Methodological) 34(2):187-220. doi:10.1007/978-1-4612-4380-9_37 Royston, P. Parmar, M.K. 2002. Flexible parametric proportional-hazards proportional-odds models censored survival data, application prognostic modelling estimation treatment effects. Statistics Medicine 21(15):2175-2197 doi:10.1002/sim.1203","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/relhaz.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Example of a simulation study on survival modelling — relhaz","text":"","code":"data(\"relhaz\", package = \"rsimsum\")"},{"path":"https://ellessenne.github.io/rsimsum/reference/rsimsum.html","id":null,"dir":"Reference","previous_headings":"","what":"Analysis of Simulation Studies Including Monte Carlo Error — rsimsum","title":"Analysis of Simulation Studies Including Monte Carlo Error — rsimsum","text":"Summarise results simulation studies compute Monte Carlo standard errors commonly used summary statistics. package modelled 'simsum' user-written command 'Stata' (See White .R., 2010 https://www.stata-journal.com/article.html?article=st0200).","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/rsimsum.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Analysis of Simulation Studies Including Monte Carlo Error — rsimsum","text":"Alessandro Gasparini (alessandro.gasparini@ki.se)","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/simsum.html","id":null,"dir":"Reference","previous_headings":"","what":"Analyses of simulation studies including Monte Carlo error — simsum","title":"Analyses of simulation studies including Monte Carlo error — simsum","text":"simsum() computes performance measures simulation studies simulated data set yields point estimates one analysis methods. Bias, relative bias, empirical standard error precision relative reference method can computed method. , addition, model-based standard errors available simsum() can compute average model-based standard error, relative error model-based standard error, coverage nominal confidence intervals, coverage assumption bias (bias-eliminated coverage), power reject null hypothesis. Monte Carlo errors available estimated quantities.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/simsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Analyses of simulation studies including Monte Carlo error — simsum","text":"","code":"simsum(   data,   estvarname,   se = NULL,   true = NULL,   methodvar = NULL,   ref = NULL,   by = NULL,   ci.limits = NULL,   df = NULL,   dropbig = FALSE,   x = FALSE,   control = list() )"},{"path":"https://ellessenne.github.io/rsimsum/reference/simsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Analyses of simulation studies including Monte Carlo error — simsum","text":"data data.frame variable names interpreted. tidy format, e.g. variable forms column observation forms row. estvarname name variable containing point estimates. Note column names forbidden: listed Details section. se name variable containing standard errors point estimates. Note column names forbidden: listed Details section. true true value parameter; used calculations bias, relative bias, coverage, mean squared error required whenever performance measures requested. true can numeric value string identifies column data. former setting, simsum assume value replications; conversely, replication use distinct value true identified row data. See vignette(\"E-custom-inputs\", package = \"rsimsum\") details. Note column names forbidden: listed Details section. methodvar name variable containing methods compare. instance, methods models compared within simulation study. Can NULL. vector column names passed simsum(), columns combined single column named :methodvar using base::interaction() function computing performance measures. Note column names forbidden: listed Details section. ref Specifies reference method relative precision calculated. useful methodvar specified. vector variable names compute performance measures list factors. Factors listed (potentially several) data-generating mechanisms used simulate data different scenarios (e.g. sample size, true distribution variable, etc.). Can NULL. Note column names forbidden: listed Details section. ci.limits Can used specify limits (lower upper) confidence intervals used calculate coverage bias-eliminated coverage. Useful non-Wald type estimators (e.g. bootstrap). Defaults NULL, Wald-type confidence intervals based provided SEs calculated coverage; otherwise, can numeric vector (fixed confidence intervals) vector strings identify columns data replication-specific lower upper limits. See vignette(\"E-custom-inputs\", package = \"rsimsum\") details. Note column names forbidden: listed Details section. df Can used specify column containing replication-specific number degrees freedom used calculate confidence intervals coverage (bias-eliminated coverage) assuming t-distributed critical values (rather normal theory intervals). See vignette(\"E-custom-inputs\", package = \"rsimsum\") details. Note column names forbidden: listed Details section. dropbig Specifies point estimates standard errors beyond maximum acceptable values dropped. Defaults FALSE. x Set TRUE include data argument used calculate summary statistics (.e. pre-processing input dataset e.g. removing values deemed large via dropbig argument) slot. Calling simsum x = TRUE required produce zipper plots. downside size returned object increases considerably, therefore set FALSE default. control list parameters control behaviour simsum. Possible values : mcse, whether calculate Monte Carlo standard errors. Defaults TRUE; level, significance level used coverage, bias-eliminated coverage, power. Defaults 0.95; power_df, whether use robust critical values t distribution power_df degrees freedom calculating power. Defaults NULL, case Gaussian distribution used; na.rm, whether remove point estimates standard errors either () missing. Defaults TRUE; char.sep, character utilised splitting input dataset data. Generally, changed; dropbig.max, specifies maximum acceptable absolute value point estimates, standardisation. Defaults 10; dropbig.semax, specifies maximum acceptable absolute value standard error, standardisation. Defaults 100 dropbig.robust, specifies whether use robust standardisation (using median inter-quartile range) rather normal standardisation (using mean standard deviation). Defaults TRUE, case robust standardisation used dropbig.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/simsum.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Analyses of simulation studies including Monte Carlo error — simsum","text":"object class simsum.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/simsum.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Analyses of simulation studies including Monte Carlo error — simsum","text":"following names allowed column data passed simsum(): stat, est, mcse, lower, upper, :methodvar, :true.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/simsum.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Analyses of simulation studies including Monte Carlo error — simsum","text":"White, .R. 2010. simsum: Analyses simulation studies including Monte Carlo error. Stata Journal 10(3): 369-385. https://www.stata-journal.com/article.html?article=st0200 Morris, T.P., White, .R. Crowther, M.J. 2019. Using simulation studies evaluate statistical methods. Statistics Medicine, doi:10.1002/sim.8086 Gasparini, . 2018. rsimsum: Summarise results Monte Carlo simulation studies. Journal Open Source Software 3(26):739, doi:10.21105/joss.00739","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/simsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Analyses of simulation studies including Monte Carlo error — simsum","text":"","code":"data(\"MIsim\", package = \"rsimsum\") s <- simsum(data = MIsim, estvarname = \"b\", true = 0.5, se = \"se\", methodvar = \"method\", ref = \"CC\") # If 'ref' is not specified, the reference method is inferred s <- simsum(data = MIsim, estvarname = \"b\", true = 0.5, se = \"se\", methodvar = \"method\") #> 'ref' method was not specified, CC set as the reference"},{"path":"https://ellessenne.github.io/rsimsum/reference/summary.multisimsum.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarising multisimsum objects — summary.multisimsum","title":"Summarising multisimsum objects — summary.multisimsum","text":"summary() method objects class multisimsum returns confidence intervals performance measures based Monte Carlo standard errors.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/summary.multisimsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarising multisimsum objects — summary.multisimsum","text":"","code":"# S3 method for multisimsum summary(object, ci_level = 0.95, df = NULL, stats = NULL, ...)"},{"path":"https://ellessenne.github.io/rsimsum/reference/summary.multisimsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarising multisimsum objects — summary.multisimsum","text":"object object class multisimsum. ci_level Significance level confidence intervals based Monte Carlo standard errors. Ignored multisimsum object control parameter mcse = FALSE passed. df Degrees freedom t distribution used calculate confidence intervals based Monte Carlo standard errors. NULL (default), quantiles Normal distribution used instead. stats Summary statistics include; can scalar value vector (multiple summary statistics ). Possible choices : nsim, number replications non-missing point estimates standard error. thetamean, average point estimate. thetamedian, median point estimate. se2mean, average standard error. se2median, median standard error. bias, bias point estimate. rbias, relative (true value) bias point estimate. empse, empirical standard error. mse, mean squared error. relprec, percentage gain precision relative reference method. modelse, model-based standard error. relerror, relative percentage error standard error. cover, coverage nominal level\\ becover, bias corrected coverage nominal level\\ power, power (1 - level)\\ Defaults NULL, case possible summary statistics included. ... Ignored.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/summary.multisimsum.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarising multisimsum objects — summary.multisimsum","text":"object class summary.multisimsum.","code":""},{"path":[]},{"path":"https://ellessenne.github.io/rsimsum/reference/summary.multisimsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarising multisimsum objects — summary.multisimsum","text":"","code":"data(frailty) ms <- multisimsum(   data = frailty, par = \"par\", true = c(     trt = -0.50,     fv = 0.75   ), estvarname = \"b\", se = \"se\", methodvar = \"model\",   by = \"fv_dist\" ) #> 'ref' method was not specified, Cox, Gamma set as the reference sms <- summary(ms) sms #> Values are: #> \tPoint Estimate (Monte Carlo Standard Error) #>  #>     #> Parameter: fv  #>  #> Non-missing point estimates/standard errors: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma        976            1000          971              1000 #>  Log-Normal        957            1000          997              1000 #>  #> Average point estimate: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma     0.7376          0.9799       0.7321            0.9847 #>  Log-Normal     0.6436          0.7325       0.6434            0.7348 #>  #> Median point estimate: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma     0.7271          0.9566       0.7225            0.9597 #>  Log-Normal     0.6365          0.7182       0.6324            0.7199 #>  #> Average variance: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma     0.0203          0.0600       0.0202            0.0498 #>  Log-Normal     0.0156          0.0230       0.0158            0.0254 #>  #> Median variance: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma     0.0193          0.0483       0.0191            0.0442 #>  Log-Normal     0.0149          0.0206       0.0149            0.0235 #>  #> Bias in point estimate: #>     fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma #>       Gamma -0.0124 (0.0045)  0.2299 (0.0076) -0.0179 (0.0044) #>  Log-Normal -0.1064 (0.0043) -0.0175 (0.0049) -0.1066 (0.0041) #>  RP(P), Log-Normal #>    0.2347 (0.0077) #>   -0.0152 (0.0050) #>  #> Relative bias in point estimate: #>     fv_dist   Cox, Gamma  Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma -0.0165 (NA)  0.3066 (0.0101) -0.0239 (NA)   0.3130 (0.0103) #>  Log-Normal -0.1419 (NA) -0.0233 (0.0066) -0.1421 (NA)  -0.0203 (0.0066) #>  #> Empirical standard error: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.1421 (0.0032) 0.2406 (0.0054) 0.1387 (0.0031)   0.2438 (0.0055) #>  Log-Normal 0.1320 (0.0030) 0.1554 (0.0035) 0.1307 (0.0029)   0.1570 (0.0035) #>  #> % gain in precision relative to method Cox, Gamma: #>     fv_dist      Cox, Gamma   Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.0000 (0.0000) -65.1290 (0.6149) 5.0048 (0.0507) -66.0342 (0.5911) #>  Log-Normal 0.0000 (0.0000) -27.8283 (1.5037) 2.0492 (0.0466) -29.3058 (1.4591) #>  #> Mean squared error: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.0203 (0.0010) 0.1107 (0.0055) 0.0195 (0.0009)   0.1145 (0.0057) #>  Log-Normal 0.0287 (0.0010) 0.0244 (0.0011) 0.0284 (0.0010)   0.0248 (0.0012) #>  #> Model-based standard error: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.1426 (0.0008) 0.2449 (0.0027) 0.1420 (0.0008)   0.2232 (0.0019) #>  Log-Normal 0.1249 (0.0008) 0.1517 (0.0013) 0.1258 (0.0007)   0.1594 (0.0011) #>  #> Relative % error in standard error: #>     fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma #>       Gamma  0.3574 (2.3463)  1.7896 (2.5449)  2.3922 (2.3950) #>  Log-Normal -5.3912 (2.2452) -2.3382 (2.3301) -3.7112 (2.2300) #>  RP(P), Log-Normal #>   -8.4531 (2.1890) #>    1.5422 (2.3713) #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.9201 (0.0087) 0.9220 (0.0085) 0.9300 (0.0082)   0.9030 (0.0094) #>  Log-Normal 0.7503 (0.0140) 0.9020 (0.0094) 0.7683 (0.0134)   0.9280 (0.0082) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.9334 (0.0080) 0.8980 (0.0096) 0.9434 (0.0074)   0.8930 (0.0098) #>  Log-Normal 0.9164 (0.0089) 0.9130 (0.0089) 0.9308 (0.0080)   0.9360 (0.0077) #>  #> Power of 5% level test: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 1.0000 (0.0000) 1.0000 (0.0000) 1.0000 (0.0000)   1.0000 (0.0000) #>  Log-Normal 1.0000 (0.0000) 1.0000 (0.0000) 1.0000 (0.0000)   1.0000 (0.0000) #>  #>  --------------------------------------------------------------------------------  #>   #> Parameter: trt  #>  #> Non-missing point estimates/standard errors: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma       1000            1000          971              1000 #>  Log-Normal       1000            1000          997              1000 #>  #> Average point estimate: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma    -0.5006         -0.5013      -0.5003           -0.5015 #>  Log-Normal    -0.5006         -0.5014      -0.5006           -0.5016 #>  #> Median point estimate: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma    -0.5011         -0.5021      -0.5010           -0.5025 #>  Log-Normal    -0.5014         -0.5021      -0.5014           -0.5022 #>  #> Average variance: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma     0.0026          0.0026       0.0026            0.0026 #>  Log-Normal     0.0023          0.0023       0.0023            0.0023 #>  #> Median variance: #>     fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma     0.0026          0.0026       0.0026            0.0026 #>  Log-Normal     0.0022          0.0022       0.0022            0.0022 #>  #> Bias in point estimate: #>     fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma #>       Gamma -0.0006 (0.0016) -0.0013 (0.0016) -0.0003 (0.0016) #>  Log-Normal -0.0006 (0.0015) -0.0014 (0.0015) -0.0006 (0.0015) #>  RP(P), Log-Normal #>   -0.0015 (0.0016) #>   -0.0016 (0.0015) #>  #> Relative bias in point estimate: #>     fv_dist      Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.0011 (0.0032) 0.0027 (0.0032)  0.0006 (NA)   0.0031 (0.0032) #>  Log-Normal 0.0012 (0.0030) 0.0028 (0.0030)  0.0013 (NA)   0.0032 (0.0030) #>  #> Empirical standard error: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.0508 (0.0011) 0.0509 (0.0011) 0.0506 (0.0011)   0.0509 (0.0011) #>  Log-Normal 0.0474 (0.0011) 0.0474 (0.0011) 0.0473 (0.0011)   0.0474 (0.0011) #>  #> % gain in precision relative to method Cox, Gamma: #>     fv_dist      Cox, Gamma  Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.0000 (0.0000) -0.4457 (0.1133) 0.4394 (0.0845)  -0.5782 (0.1641) #>  Log-Normal 0.0000 (0.0000) -0.1417 (0.1367) 0.0918 (0.0853)  -0.2078 (0.1589) #>  #> Mean squared error: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.0026 (0.0001) 0.0026 (0.0001) 0.0026 (0.0001)   0.0026 (0.0001) #>  Log-Normal 0.0022 (0.0001) 0.0022 (0.0001) 0.0022 (0.0001)   0.0022 (0.0001) #>  #> Model-based standard error: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.0506 (0.0000) 0.0507 (0.0000) 0.0506 (0.0000)   0.0507 (0.0000) #>  Log-Normal 0.0475 (0.0000) 0.0475 (0.0000) 0.0475 (0.0000)   0.0475 (0.0000) #>  #> Relative % error in standard error: #>     fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma #>       Gamma -0.2017 (2.2346) -0.3890 (2.2304) -0.0544 (2.2710) #>  Log-Normal  0.2507 (2.2438)  0.1815 (2.2423)  0.3319 (2.2490) #>  RP(P), Log-Normal #>   -0.4330 (2.2294) #>    0.2101 (2.2429) #>  #> Coverage of nominal 95% confidence interval: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.9500 (0.0069) 0.9490 (0.0070) 0.9506 (0.0070)   0.9500 (0.0069) #>  Log-Normal 0.9410 (0.0075) 0.9420 (0.0074) 0.9428 (0.0074)   0.9430 (0.0073) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 0.9500 (0.0069) 0.9500 (0.0069) 0.9506 (0.0070)   0.9490 (0.0070) #>  Log-Normal 0.9420 (0.0074) 0.9400 (0.0075) 0.9428 (0.0074)   0.9410 (0.0075) #>  #> Power of 5% level test: #>     fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal #>       Gamma 1.0000 (0.0000) 1.0000 (0.0000) 1.0000 (0.0000)   1.0000 (0.0000) #>  Log-Normal 1.0000 (0.0000) 1.0000 (0.0000) 1.0000 (0.0000)   1.0000 (0.0000)"},{"path":"https://ellessenne.github.io/rsimsum/reference/summary.simsum.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarising simsum objects — summary.simsum","title":"Summarising simsum objects — summary.simsum","text":"summary() method objects class simsum returns confidence intervals performance measures based Monte Carlo standard errors.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/summary.simsum.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarising simsum objects — summary.simsum","text":"","code":"# S3 method for simsum summary(object, ci_level = 0.95, df = NULL, stats = NULL, ...)"},{"path":"https://ellessenne.github.io/rsimsum/reference/summary.simsum.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarising simsum objects — summary.simsum","text":"object object class simsum. ci_level Significance level confidence intervals based Monte Carlo standard errors. Ignored simsum object control parameter mcse = FALSE passed. df Degrees freedom t distribution used calculate confidence intervals based Monte Carlo standard errors. NULL (default), quantiles Normal distribution used instead. However, using Z-based t-based confidence intervals valid summary statistics bias coverage. Confidence intervals quantities may appropriate, therefore usage recommended. stats Summary statistics include; can scalar value vector (multiple summary statistics ). Possible choices : nsim, number replications non-missing point estimates standard error. thetamean, average point estimate. thetamedian, median point estimate. se2mean, average variance. se2median, median variance. bias, bias point estimate. rbias, relative (true value) bias point estimate. empse, empirical standard error. mse, mean squared error. relprec, percentage gain precision relative reference method. modelse, model-based standard error. relerror, relative percentage error standard error. cover, coverage nominal level\\ becover, bias corrected coverage nominal level\\ power, power (1 - level)\\ Defaults NULL, case possible summary statistics included. ... Ignored.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/summary.simsum.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarising simsum objects — summary.simsum","text":"object class summary.simsum.","code":""},{"path":[]},{"path":"https://ellessenne.github.io/rsimsum/reference/summary.simsum.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarising simsum objects — summary.simsum","text":"","code":"data(\"MIsim\") object <- simsum(   data = MIsim, estvarname = \"b\", true = 0.5, se = \"se\",   methodvar = \"method\" ) #> 'ref' method was not specified, CC set as the reference xs <- summary(object) xs #> Values are: #> \tPoint Estimate (Monte Carlo Standard Error) #>  #> Non-missing point estimates/standard errors: #>    CC MI_LOGT MI_T #>  1000    1000 1000 #>  #> Average point estimate: #>      CC MI_LOGT   MI_T #>  0.5168  0.5009 0.4988 #>  #> Median point estimate: #>      CC MI_LOGT   MI_T #>  0.5070  0.4969 0.4939 #>  #> Average variance: #>      CC MI_LOGT   MI_T #>  0.0216  0.0182 0.0179 #>  #> Median variance: #>      CC MI_LOGT   MI_T #>  0.0211  0.0172 0.0169 #>  #> Bias in point estimate: #>               CC         MI_LOGT             MI_T #>  0.0168 (0.0048) 0.0009 (0.0042) -0.0012 (0.0043) #>  #> Relative bias in point estimate: #>               CC         MI_LOGT             MI_T #>  0.0335 (0.0096) 0.0018 (0.0083) -0.0024 (0.0085) #>  #> Empirical standard error: #>               CC         MI_LOGT            MI_T #>  0.1511 (0.0034) 0.1320 (0.0030) 0.1344 (0.0030) #>  #> % gain in precision relative to method CC: #>               CC          MI_LOGT             MI_T #>  0.0000 (0.0000) 31.0463 (3.9375) 26.3682 (3.8424) #>  #> Mean squared error: #>               CC         MI_LOGT            MI_T #>  0.0231 (0.0011) 0.0174 (0.0009) 0.0181 (0.0009) #>  #> Model-based standard error: #>               CC         MI_LOGT            MI_T #>  0.1471 (0.0005) 0.1349 (0.0006) 0.1338 (0.0006) #>  #> Relative % error in standard error: #>                CC         MI_LOGT             MI_T #>  -2.6594 (2.2055) 2.2233 (2.3323) -0.4412 (2.2695) #>  #> Coverage of nominal 95% confidence interval: #>               CC         MI_LOGT            MI_T #>  0.9430 (0.0073) 0.9490 (0.0070) 0.9430 (0.0073) #>  #> Bias-eliminated coverage of nominal 95% confidence interval: #>               CC         MI_LOGT            MI_T #>  0.9400 (0.0075) 0.9490 (0.0070) 0.9430 (0.0073) #>  #> Power of 5% level test: #>               CC         MI_LOGT            MI_T #>  0.9460 (0.0071) 0.9690 (0.0055) 0.9630 (0.0060)"},{"path":"https://ellessenne.github.io/rsimsum/reference/tidy.html","id":null,"dir":"Reference","previous_headings":"","what":"Turn an object into a tidy dataset — tidy.simsum","title":"Turn an object into a tidy dataset — tidy.simsum","text":"Extract tidy dataset results object class simsum, summary.simsum, multisimsum, summary.multisimsum.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/tidy.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Turn an object into a tidy dataset — tidy.simsum","text":"","code":"# S3 method for simsum tidy(x, stats = NULL, ...)  # S3 method for summary.simsum tidy(x, stats = NULL, ...)  # S3 method for multisimsum tidy(x, stats = NULL, ...)  # S3 method for summary.multisimsum tidy(x, stats = NULL, ...)"},{"path":"https://ellessenne.github.io/rsimsum/reference/tidy.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Turn an object into a tidy dataset — tidy.simsum","text":"x object class simsum. stats Summary statistics include; can scalar value vector. Possible choices : nsim, number replications non-missing point estimates standard error. thetamean, average point estimate. thetamedian, median point estimate. se2mean, average standard error. se2median, median standard error. bias, bias point estimate. rbias, relative (true value) bias point estimate. empse, empirical standard error. mse, mean squared error. relprec, percentage gain precision relative reference method. modelse, model-based standard error. relerror, relative percentage error standard error. cover, coverage nominal level\\ becover, bias-eliminated coverage nominal level\\ power, power (1 - level)\\ Defaults NULL, case summary statistics returned. ... Ignored.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/tidy.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Turn an object into a tidy dataset — tidy.simsum","text":"data.frame containing summary statistics simulation study.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/tidy.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Turn an object into a tidy dataset — tidy.simsum","text":"","code":"data(MIsim) x <- simsum(   data = MIsim, estvarname = \"b\", true = 0.5, se = \"se\",   methodvar = \"method\" ) #> 'ref' method was not specified, CC set as the reference tidy(x) #>           stat           est         mcse  method #> 1         nsim  1.000000e+03           NA      CC #> 2    thetamean  5.167662e-01           NA      CC #> 3  thetamedian  5.069935e-01           NA      CC #> 4      se2mean  2.163731e-02           NA      CC #> 5    se2median  2.114245e-02           NA      CC #> 6         bias  1.676616e-02 0.0047786757      CC #> 7        rbias  3.353232e-02 0.0095573514      CC #> 8        empse  1.511150e-01 0.0033807248      CC #> 9          mse  2.309401e-02 0.0011338389      CC #> 10     relprec  0.000000e+00 0.0000000000      CC #> 11     modelse  1.470963e-01 0.0005274099      CC #> 12    relerror -2.659384e+00 2.2054817330      CC #> 13       cover  9.430000e-01 0.0073315073      CC #> 14     becover  9.400000e-01 0.0075099933      CC #> 15       power  9.460000e-01 0.0071473072      CC #> 16        nsim  1.000000e+03           NA MI_LOGT #> 17   thetamean  5.009231e-01           NA MI_LOGT #> 18 thetamedian  4.969223e-01           NA MI_LOGT #> 19     se2mean  1.820915e-02           NA MI_LOGT #> 20   se2median  1.721574e-02           NA MI_LOGT #> 21        bias  9.230987e-04 0.0041744101 MI_LOGT #> 22       rbias  1.846197e-03 0.0083488201 MI_LOGT #> 23       empse  1.320064e-01 0.0029532306 MI_LOGT #> 24         mse  1.740913e-02 0.0008812805 MI_LOGT #> 25     relprec  3.104634e+01 3.9374726448 MI_LOGT #> 26     modelse  1.349413e-01 0.0006046041 MI_LOGT #> 27    relerror  2.223259e+00 2.3323382138 MI_LOGT #> 28       cover  9.490000e-01 0.0069569390 MI_LOGT #> 29     becover  9.490000e-01 0.0069569390 MI_LOGT #> 30       power  9.690000e-01 0.0054807846 MI_LOGT #> 31        nsim  1.000000e+03           NA    MI_T #> 32   thetamean  4.988092e-01           NA    MI_T #> 33 thetamedian  4.939111e-01           NA    MI_T #> 34     se2mean  1.791169e-02           NA    MI_T #> 35   se2median  1.693191e-02           NA    MI_T #> 36        bias -1.190835e-03 0.0042509767    MI_T #> 37       rbias -2.381670e-03 0.0085019534    MI_T #> 38       empse  1.344277e-01 0.0030073985    MI_T #> 39         mse  1.805415e-02 0.0009112249    MI_T #> 40     relprec  2.636816e+01 3.8423791135    MI_T #> 41     modelse  1.338346e-01 0.0005856362    MI_T #> 42    relerror -4.412233e-01 2.2695215740    MI_T #> 43       cover  9.430000e-01 0.0073315073    MI_T #> 44     becover  9.430000e-01 0.0073315073    MI_T #> 45       power  9.630000e-01 0.0059691708    MI_T  # Extracting only bias and coverage: tidy(x, stats = c(\"bias\", \"cover\")) #>    stat           est        mcse  method #> 1  bias  0.0167661608 0.004778676      CC #> 2 cover  0.9430000000 0.007331507      CC #> 3  bias  0.0009230987 0.004174410 MI_LOGT #> 4 cover  0.9490000000 0.006956939 MI_LOGT #> 5  bias -0.0011908351 0.004250977    MI_T #> 6 cover  0.9430000000 0.007331507    MI_T  xs <- summary(x) tidy(xs) #>           stat           est         mcse  method        lower        upper #> 1         nsim  1.000000e+03           NA      CC           NA           NA #> 2    thetamean  5.167662e-01           NA      CC           NA           NA #> 3  thetamedian  5.069935e-01           NA      CC           NA           NA #> 4      se2mean  2.163731e-02           NA      CC           NA           NA #> 5    se2median  2.114245e-02           NA      CC           NA           NA #> 6         bias  1.676616e-02 0.0047786757      CC  0.007400129  0.026132193 #> 7        rbias  3.353232e-02 0.0095573514      CC  0.014800257  0.052264386 #> 8        empse  1.511150e-01 0.0033807248      CC  0.144488895  0.157741093 #> 9          mse  2.309401e-02 0.0011338389      CC  0.020871727  0.025316293 #> 10     relprec  0.000000e+00 0.0000000000      CC  0.000000000  0.000000000 #> 11     modelse  1.470963e-01 0.0005274099      CC  0.146062561  0.148129970 #> 12    relerror -2.659384e+00 2.2054817330      CC -6.982048962  1.663280569 #> 13       cover  9.430000e-01 0.0073315073      CC  0.928630510  0.957369490 #> 14     becover  9.400000e-01 0.0075099933      CC  0.925280684  0.954719316 #> 15       power  9.460000e-01 0.0071473072      CC  0.931991535  0.960008465 #> 16        nsim  1.000000e+03           NA MI_LOGT           NA           NA #> 17   thetamean  5.009231e-01           NA MI_LOGT           NA           NA #> 18 thetamedian  4.969223e-01           NA MI_LOGT           NA           NA #> 19     se2mean  1.820915e-02           NA MI_LOGT           NA           NA #> 20   se2median  1.721574e-02           NA MI_LOGT           NA           NA #> 21        bias  9.230987e-04 0.0041744101 MI_LOGT -0.007258595  0.009104792 #> 22       rbias  1.846197e-03 0.0083488201 MI_LOGT -0.014517189  0.018209584 #> 23       empse  1.320064e-01 0.0029532306 MI_LOGT  0.126218211  0.137794663 #> 24         mse  1.740913e-02 0.0008812805 MI_LOGT  0.015681848  0.019136404 #> 25     relprec  3.104634e+01 3.9374726448 MI_LOGT 23.329036439 38.763645587 #> 26     modelse  1.349413e-01 0.0006046041 MI_LOGT  0.133756280  0.136126285 #> 27    relerror  2.223259e+00 2.3323382138 MI_LOGT -2.348039558  6.794558240 #> 28       cover  9.490000e-01 0.0069569390 MI_LOGT  0.935364650  0.962635350 #> 29     becover  9.490000e-01 0.0069569390 MI_LOGT  0.935364650  0.962635350 #> 30       power  9.690000e-01 0.0054807846 MI_LOGT  0.958257860  0.979742140 #> 31        nsim  1.000000e+03           NA    MI_T           NA           NA #> 32   thetamean  4.988092e-01           NA    MI_T           NA           NA #> 33 thetamedian  4.939111e-01           NA    MI_T           NA           NA #> 34     se2mean  1.791169e-02           NA    MI_T           NA           NA #> 35   se2median  1.693191e-02           NA    MI_T           NA           NA #> 36        bias -1.190835e-03 0.0042509767    MI_T -0.009522596  0.007140926 #> 37       rbias -2.381670e-03 0.0085019534    MI_T -0.019045193  0.014281852 #> 38       empse  1.344277e-01 0.0030073985    MI_T  0.128533294  0.140322080 #> 39         mse  1.805415e-02 0.0009112249    MI_T  0.016268182  0.019840118 #> 40     relprec  2.636816e+01 3.8423791135    MI_T 18.837236583 33.899085938 #> 41     modelse  1.338346e-01 0.0005856362    MI_T  0.132686735  0.134982387 #> 42    relerror -4.412233e-01 2.2695215740    MI_T -4.889403808  4.006957286 #> 43       cover  9.430000e-01 0.0073315073    MI_T  0.928630510  0.957369490 #> 44     becover  9.430000e-01 0.0073315073    MI_T  0.928630510  0.957369490 #> 45       power  9.630000e-01 0.0059691708    MI_T  0.951300640  0.974699360"},{"path":"https://ellessenne.github.io/rsimsum/reference/tt.html","id":null,"dir":"Reference","previous_headings":"","what":"Example of a simulation study on the t-test — tt","title":"Example of a simulation study on the t-test — tt","text":"dataset simulation study 4 data-generating mechanisms, useful illustrate custom input confidence intervals calculate coverage probability. simulation study aims compare t-test assuming pooled unpooled variance violation () t-test assumptions: normality data, equality () variance groups. true value difference groups -1.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/tt.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Example of a simulation study on the t-test — tt","text":"","code":"tt"},{"path":"https://ellessenne.github.io/rsimsum/reference/tt.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Example of a simulation study on the t-test — tt","text":"data frame 4,000 rows 8 variables: diff difference mean groups estimated t-test; se Standard error estimated difference; conf.low, conf.high Confidence interval difference mean reported t-test; df number degrees freedom assumed t-test; repno Identifies replication, 1 500; dgm Identifies data-generating mechanism: 1 corresponds normal data equal variance groups, 2 normal data unequal variance, 3 4 skewed data (simulated Gamma distribution) equal unequal variance groups, respectively; method Analysis method: 1 represents t-test pooled variance, 2 represents t-test unpooled variance.","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/tt.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Example of a simulation study on the t-test — tt","text":"details simulation study can found R script used generate dataset, available GitHub: https://github.com/ellessenne/rsimsum/blob/master/data-raw/tt-data.R","code":""},{"path":"https://ellessenne.github.io/rsimsum/reference/tt.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Example of a simulation study on the t-test — tt","text":"","code":"data(\"tt\", package = \"rsimsum\")"},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-development-version","dir":"Changelog","previous_headings":"","what":"rsimsum (development version)","title":"rsimsum (development version)","text":"Fixed issues nested loop plot simulation design fully-factorial (#47, thanks @mikesweeting); Fixed wrong calculations column used true elsewhere (#48, thanks @mikesweeting); Updated columns names confidence intervals tt dataset; Updated documentation regarding column names allowed calling simsum() multisimsum().","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-0120","dir":"Changelog","previous_headings":"","what":"rsimsum 0.12.0","title":"rsimsum 0.12.0","text":"new performance measure, relative bias, can now calculated along Monte Carlo error (#41). details formulae introductory vignette, updated accordingly. Fixed issues stat(level), deprecated {ggplot2} 3.4.0 (#44). Fixed error calculation Monte Carlo standard error relative % error ModSE (#45, thanks @LaurenSamuels reporting ). Several improvements package documentation.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-0113","dir":"Changelog","previous_headings":"","what":"rsimsum 0.11.3","title":"rsimsum 0.11.3","text":"CRAN release: 2022-08-17 minor release, following changes: Updated hex sticker. Updated maintainer e-mail.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-0112","dir":"Changelog","previous_headings":"","what":"rsimsum 0.11.2","title":"rsimsum 0.11.2","text":"CRAN release: 2022-03-22","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-11-2","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.11.2","text":"Fixed issues overlapping/missing intervals zip plots (#40, thanks @ge-li reporting ).","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-0111","dir":"Changelog","previous_headings":"","what":"rsimsum 0.11.1","title":"rsimsum 0.11.1","text":"CRAN release: 2022-01-04","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-11-1","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.11.1","text":"Fixed conflicts tidy() function {broom} package {broom} {rsimsum} loaded time. lead error kind: Thanks Theodosia Salika reporting . {pkgdown} website documentation updated use Bootstrap 5 ({pkgdown} ≥ 2.0.0). new site can found : https://ellessenne.github.io/rsimsum/ Updated DOI returning HTTP Error 503.","code":"#> Error: No tidy method recognized for this list."},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-0110","dir":"Changelog","previous_headings":"","what":"rsimsum 0.11.0","title":"rsimsum 0.11.0","text":"CRAN release: 2021-10-20","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"new-features-0-11-0","dir":"Changelog","previous_headings":"","what":"New features:","title":"rsimsum 0.11.0","text":"print.summary.simsum() now return (invisibly) list section output, e.g. performance measure. useful printing small sections output, e.g. using kable() (thanks @ge-li, see discussion #22): implemented print.summary.multisimsum() well, additional level nesting (parameter).","code":"library(rsimsum) s2 <- simsum(data = relhaz, estvarname = \"theta\", true = -0.50, se = \"se\", methodvar = \"model\", by = c(\"baseline\", \"n\")) out <- print(summary(s2, stats = \"bias\")) library(knitr) kable(out[[1]], caption = names(out)[1], align = \"r\")"},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bux-fixes-0-11-0","dir":"Changelog","previous_headings":"","what":"Bux fixes:","title":"rsimsum 0.11.0","text":"Fixed broken links vignettes (introduced bunch time ago renaming .Rmd files), thanks @remlapmot reporting (#36).","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-0101","dir":"Changelog","previous_headings":"","what":"rsimsum 0.10.1","title":"rsimsum 0.10.1","text":"CRAN release: 2021-07-05","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-10-1","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.10.1","text":"Even power_df passed control argument, used (regression introduced {rsimsum} 0.9.0). Now fixed, thanks @Kaladani (#33).","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-0100","dir":"Changelog","previous_headings":"","what":"rsimsum 0.10.0","title":"rsimsum 0.10.0","text":"CRAN release: 2021-05-21","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"breaking-changes-0-10-0","dir":"Changelog","previous_headings":"","what":"Breaking changes:","title":"rsimsum 0.10.0","text":"get_data() now deprecated favour tidy(); get_data() still works (fully tested), now throws warning fully removed time future.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"new-features-0-10-0","dir":"Changelog","previous_headings":"","what":"New features:","title":"rsimsum 0.10.0","text":"simsum() multisimsum() now accept multiple column inputs identify unique methods (see e.g. #24, #30). Internally, combines unique values column factorially using interaction() function; , methods analysed reported . See vignette(\"E-custom-inputs\", package = \"rsimsum\") examples. Two new datasets, MIsim2 frailty2, now bundled rsimsum test new functionality introduced . correspond MIsim frailty, respectively, difference (single) column identifying methods now split two distinct columns.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-091","dir":"Changelog","previous_headings":"","what":"rsimsum 0.9.1","title":"rsimsum 0.9.1","text":"CRAN release: 2020-09-03","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-9-1","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.9.1","text":"Improved printing simulation studies ‘non-standard’ way passing true values (see e.g. #28 GitHub); Fixed typo introductory vignette; internal housekeeping.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-090","dir":"Changelog","previous_headings":"","what":"rsimsum 0.9.0","title":"rsimsum 0.9.0","text":"CRAN release: 2020-04-15","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"breaking-changes-0-9-0","dir":"Changelog","previous_headings":"","what":"Breaking changes:","title":"rsimsum 0.9.0","text":"control argument df renamed power_df, now affects power calculations .","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"new-features-0-9-0","dir":"Changelog","previous_headings":"","what":"New features:","title":"rsimsum 0.9.0","text":"New df argument, simsum multisimum now accept column data containing number degrees freedom used calculate confidence intervals coverage (bias-eliminated coverage) t critical values (instead normal-theory intervals, default behaviour). Notably, zip plots behave accordingly calculating ranking confidence intervals; Calculations zip plots noticeably faster now; Added simple kable method objects class simsum, summary.simsum, multisimsum, summary.multisimsum ease creation LaTeX/HTML/Markdown/reStructuredText tables.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-9-0","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.9.0","text":"Fixed bug prevented zip plots factors plotted.","code":""},{"path":[]},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"changes-to-default-behaviour-0-8-1","dir":"Changelog","previous_headings":"","what":"Changes to default behaviour:","title":"rsimsum 0.8.1","text":"autoplot methods now plot number non-missing point estimates/SEs default (stat argument set user). previous default plot bias, might always available anymore since rsimsum 0.8.0.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"improvements-0-8-1","dir":"Changelog","previous_headings":"","what":"Improvements:","title":"rsimsum 0.8.1","text":"Handling plotting edge cases, instance standard errors true values available; Improved multisimsum example vignette custom inputs.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-8-1","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.8.1","text":"Fixed typo vignette formulae (#25, thanks @samperochkin).","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-080","dir":"Changelog","previous_headings":"","what":"rsimsum 0.8.0","title":"rsimsum 0.8.0","text":"CRAN release: 2020-02-29","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"improvements-0-8-0","dir":"Changelog","previous_headings":"","what":"Improvements:","title":"rsimsum 0.8.0","text":"Added new argument zoom autoplot methods: now possible zoom top x% zip plot improve readability; Added new example dataset toy simulation study assessing robustness t-test. See ?\"tt\" details; true argument rsimsum multisimsum now accepts string identifies column data. especially useful settings true value varies across replications, e.g. depends characteristics simulated data. See vignette(\"E-custom-inputs\", package = \"rsimsum\") details examples; Analogously, ci.limits argument now accepts vector strings identifies lower upper limits custom-defined confidence intervals columns data. , details included vignette(\"E-custom-inputs\", package = \"rsimsum\"); rsimsum now correctly uses inherits(obj, \"someclass\") instead class(obj) == \"someclass\" (#20); Fixed bugs errors appeared auto-plotting results simulation studies methods compared (#23).","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-071","dir":"Changelog","previous_headings":"","what":"rsimsum 0.7.1","title":"rsimsum 0.7.1","text":"autoplot supports two new visualisations: contour plots hexbin plots, either point estimates standard errors. can obtained selecting argument type = \"est_density\", type = \"se_density\", type = \"est_hex\", type = \"se_hex\".","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-070","dir":"Changelog","previous_headings":"","what":"rsimsum 0.7.0","title":"rsimsum 0.7.0","text":"CRAN release: 2019-11-12","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"improvements-0-7-0","dir":"Changelog","previous_headings":"","what":"Improvements:","title":"rsimsum 0.7.0","text":"Passing true value estimand (true argument) longer required; true passed simsum multisimsum, bias, coverage, mean squared error computed; Passing estimated standard errors per replication (se argument) longer required; , average median variances, model-based standard errors, relative error, coverage probability, bias-eliminated coverage probability, power computed.","code":""},{"path":[]},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-6-2","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.6.2","text":"Fixed bug introduced rsimsum 0.6.1 (average median variances printed).","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-061","dir":"Changelog","previous_headings":"","what":"rsimsum 0.6.1","title":"rsimsum 0.6.1","text":"CRAN release: 2019-09-12","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-6-1","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.6.1","text":"Fixed labelling bug zipper plots (thanks @syriop-elisa reporting ); Clarified simsum multisimsum report average (median) estimated variances, standard errors (thanks Ian R. White reporting ).","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-060","dir":"Changelog","previous_headings":"","what":"rsimsum 0.6.0","title":"rsimsum 0.6.0","text":"CRAN release: 2019-07-15","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"improvements-0-6-0","dir":"Changelog","previous_headings":"","what":"Improvements:","title":"rsimsum 0.6.0","text":"Implemented fully automated nested loop plots simulation studies several data-generating mechanisms: autoplot(object, type = \"nlp\"); Added data(\"nlp\", package = \"rsimsum\"), dataset simulation study 150 data-generating. particularly useful illustrate nested loop plots; Added new vignette nested loop plots; Improved ordering vignettes.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-6-0","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.6.0","text":"Updated unquoting compatibility rlang 0.4.0; Fixed missing details options documentation autoplot.multisimsum autoplot.summary.multisimsum.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-052","dir":"Changelog","previous_headings":"","what":"rsimsum 0.5.2","title":"rsimsum 0.5.2","text":"CRAN release: 2019-04-25","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-5-2","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.5.2","text":"Fixed labelling facetting plot types, now defaults ggplot2::label_both ‘’ factors (included).","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-051","dir":"Changelog","previous_headings":"","what":"rsimsum 0.5.1","title":"rsimsum 0.5.1","text":"CRAN release: 2019-03-15","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-5-1","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.5.1","text":"Fixed calculations “Relative % increase precision” (thanks Ian R. White reporting ).","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-050","dir":"Changelog","previous_headings":"","what":"rsimsum 0.5.0","title":"rsimsum 0.5.0","text":"CRAN release: 2019-02-21","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"improvements-0-5-0","dir":"Changelog","previous_headings":"","what":"Improvements:","title":"rsimsum 0.5.0","text":"Implemented autoplot method multisimsum summary.multisimsum objects; Implemented heat plot types simsum multisimsum objects; autoplot methods pick value true passed simsum, multisimsum inferring target value stats = (thetamean, thetamedian) target = NULL. plain English, true value estimand picked target value plotting mean (median) estimated value; Updated vignettes references; Updated pkgdown website, published https://ellessenne.github.io/rsimsum/; Improved code coverage.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"bug-fixes-0-5-0","dir":"Changelog","previous_headings":"","what":"Bug fixes:","title":"rsimsum 0.5.0","text":"Fixed bug autoplot caused premature slicing arguments, arguments included.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-042","dir":"Changelog","previous_headings":"","what":"rsimsum 0.4.2","title":"rsimsum 0.4.2","text":"Implemented autoplot method simsum summary.simsum objects; calling autoplot summary.simsum objects, confidence intervals based Monte Carlo standard errors included well (sensible). Supported plot types : forest plot estimated summary statistics; lolly plot summary statistics; zip plot coverage probability; scatter plot methods-wise comparison (e.g. X vs Y) point estimates standard errors, per replication; , implemented Bland-Altman type plot; ridgeline plot estimates, standard errors compare distribution estimates, standard errors method. Several options customise behaviour autoplot, see ?autoplot.simsum ?autoplot.summary.simsum details.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-041","dir":"Changelog","previous_headings":"","what":"rsimsum 0.4.1","title":"rsimsum 0.4.1","text":"Fixed bug dropbig related internal function returning standardised values instead actual observed values.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-040","dir":"Changelog","previous_headings":"","what":"rsimsum 0.4.0","title":"rsimsum 0.4.0","text":"rsimsum 0.4.0 large refactoring rsimsum. several improvements breaking changes, outlined .","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"improvements-0-4-0","dir":"Changelog","previous_headings":"","what":"Improvements","title":"rsimsum 0.4.0","text":"rsimsum robust using factor variables (e.g. methodvar factor), ordering preserved defined dataset passed simsum (multisimsum); Confidence intervals based Monte Carlo standard errors can now computed using quantiles t distribution; see help(summary.simsum) details; Added comparison results Stata’s simsum testing purposes - differences negligible, calculations simsum wrong (already reported). differences can attributed calculations (conversions, comparison) different scales.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"breaking-changes-0-4-0","dir":"Changelog","previous_headings":"","what":"Breaking changes","title":"rsimsum 0.4.0","text":"syntax simsum multisimsum slightly changed, arguments removed others moved control list several tuning parameters. Please check updated examples details; dropbig longer S3 method simsum multisimsum objects. Now, dropbig exported function can used identify rows input data.frame dropped simsum (multisimsum); Point estimates standard errors dropped simsum (multisimsum) dropbig = TRUE) longer included returned object; therefore, S3 method miss removed; get_data longer S3 method, still requires object class simsum, summary.simsum, multisimsum, summary.multisimsum passed input; plotting methods removed preparation complete overhaul planned rsimsum 0.5.0.","code":""},{"path":[]},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"breaking-changes-0-3-5","dir":"Changelog","previous_headings":"","what":"Breaking changes","title":"rsimsum 0.3.5","text":"zip method renamed zipper() avoid name collision utils::zip().","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-034","dir":"Changelog","previous_headings":"","what":"rsimsum 0.3.4","title":"rsimsum 0.3.4","text":"Added ability define custom confidence interval limits calculating coverage via ci.limits argument (#6, @MvanSmeden). functionality considered experimental, hence feedback much appreciated; Updated Simulating simulation study vignette therefore relhaz dataset bundled rsimsum.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-033","dir":"Changelog","previous_headings":"","what":"rsimsum 0.3.3","title":"rsimsum 0.3.3","text":"CRAN release: 2018-06-20 rsimsum 0.3.3 focuses improving documentation package. Improvements: * Improved printing confidence intervals summary statistics based Monte Carlo standard errors; * Added description argument get_data method, append column description summary statistics exported; defaults FALSE; * Improved documentation introductory vignette clarify several points (#3, @lebebr01); * Improved plotting vignette document customise plots (#4, @lebebr01). New: * Added CITATION file references paper JOSS.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-032","dir":"Changelog","previous_headings":"","what":"rsimsum 0.3.2","title":"rsimsum 0.3.2","text":"rsimsum 0.3.2 small maintenance release: * Merged pull request #1 @mllg adapting new version checkmate package; * Fixed bug automatic labels bar() forest() selected properly.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-031","dir":"Changelog","previous_headings":"","what":"rsimsum 0.3.1","title":"rsimsum 0.3.1","text":"CRAN release: 2018-04-04 Bug fixes: * bar(), forest(), lolly(), heat() now appropriately pick discrete X (Y) axis scale methods (defined) method variable numeric; * simsum() multisimsum() coerce methodvar variable string format (specified already string); * fixed typos empirical standard errors documentation . Updated code conduct (CONDUCT.md) contributing guidelines (CONTRIBUTING.md). Removed dependency tidyverse package (thanks Mara Averick).","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-030","dir":"Changelog","previous_headings":"","what":"rsimsum 0.3.0","title":"rsimsum 0.3.0","text":"CRAN release: 2018-02-22 Bug fixes: * pattern() now appropriately pick discrete colour scale methods (defined) method variable numeric. New plots supported: * forest(), forest plots; * bar(), bar plots. Changes existing functionality: * par argument lolly.multisimsum now required; provided, plots faceted estimand (well factor); * updated Visualising results rsimsum vignette. Added CONTRIBUTING.md CONDUCT.md.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-020","dir":"Changelog","previous_headings":"","what":"rsimsum 0.2.0","title":"rsimsum 0.2.0","text":"CRAN release: 2018-02-15 Internal housekeeping. Added S3 methods simsum multisimsum objects visualise results: * lolly(), lolly plots; * zip(), zip plots; * heat(), heat plots; * pattern(), scatter plots estimates vs SEs. Added new vignette Visualising results rsimsum introduce -mentioned plots. Added x argument simsum multisimsum include original dataset slot returned object. Added miss function obtaining basic information missingness simulation results. miss methods print get_data.","code":""},{"path":"https://ellessenne.github.io/rsimsum/news/index.html","id":"rsimsum-010","dir":"Changelog","previous_headings":"","what":"rsimsum 0.1.0","title":"rsimsum 0.1.0","text":"CRAN release: 2018-02-05 First submission CRAN. rsimsum can handle: simulation studies single estimand simulation studies multiple estimands simulation studies multiple methods compare simulation studies multiple data-generating mechanisms (e.g. ‘’ factors) Summary statistics can computed : bias, empirical standard error, mean squared error, percentage gain precision relative reference method, model-based standard error, coverage, bias-corrected coverage, power. Monte Carlo standard errors summary statistic can computed well.","code":""}]
diff --git a/man/multisimsum.Rd b/man/multisimsum.Rd
index 1485a77..c9ac179 100644
--- a/man/multisimsum.Rd
+++ b/man/multisimsum.Rd
@@ -27,33 +27,40 @@ It has to be in tidy format, e.g. each variable forms a column and each observat
 \item{par}{The name of the variable containing the methods to compare.
 Can be \code{NULL}.}
 
-\item{estvarname}{The name of the variable containing the point estimates.}
+\item{estvarname}{The name of the variable containing the point estimates.
+Note that some column names are forbidden: these are listed below in the \emph{Details} section.}
 
-\item{se}{The name of the variable containing the standard errors of the point estimates.}
+\item{se}{The name of the variable containing the standard errors of the point estimates.
+Note that some column names are forbidden: these are listed below in the \emph{Details} section.}
 
 \item{true}{The true value of the parameter; this is used in calculations of bias, relative bias, coverage, and mean squared error and is required whenever these performance measures are requested.
 \code{true} can be a numeric value or a string that identifies a column in \code{data}.
 In the former setting, \code{simsum} will assume the same value for all replications; conversely, each replication will use a distinct value for \code{true} as identified by each row of \code{data}.
-See \code{vignette("E-custom-inputs", package = "rsimsum")} for more details.}
+See \code{vignette("E-custom-inputs", package = "rsimsum")} for more details.
+Note that some column names are forbidden: these are listed below in the \emph{Details} section.}
 
 \item{methodvar}{The name of the variable containing the methods to compare.
 For instance, methods could be the models compared within a simulation study.
 Can be \code{NULL}.
-If a vector of column names is passed to \code{simsum()}, those columns will be combined into a single column named \verb{:methodvar} using the \code{\link[base:interaction]{base::interaction()}} function before computing all performance measures.}
+If a vector of column names is passed to \code{simsum()}, those columns will be combined into a single column named \verb{:methodvar} using the \code{\link[base:interaction]{base::interaction()}} function before computing all performance measures.
+Note that some column names are forbidden: these are listed below in the \emph{Details} section.}
 
 \item{ref}{Specifies the reference method against which relative precision will be calculated.
 Only useful if \code{methodvar} is specified.}
 
 \item{by}{A vector of variable names to compute performance measures by a list of factors. Factors listed here are the (potentially several) data-generating mechanisms used to simulate data under different scenarios (e.g. sample size, true distribution of a variable, etc.).
-Can be \code{NULL}.}
+Can be \code{NULL}.
+Note that some column names are forbidden: these are listed below in the \emph{Details} section.}
 
 \item{ci.limits}{Can be used to specify the limits (lower and upper) of confidence intervals used to calculate coverage and bias-eliminated coverage.
 Useful for non-Wald type estimators (e.g. bootstrap).
 Defaults to \code{NULL}, where Wald-type confidence intervals based on the provided SEs are calculated for coverage; otherwise, it can be a numeric vector (for fixed confidence intervals) or a vector of strings that identify columns in \code{data} with replication-specific lower and upper limits.
-See \code{vignette("E-custom-inputs", package = "rsimsum")} for more details.}
+See \code{vignette("E-custom-inputs", package = "rsimsum")} for more details.
+Note that some column names are forbidden: these are listed below in the \emph{Details} section.}
 
 \item{df}{Can be used to specify that a column containing the replication-specific number of degrees of freedom that will be used to calculate confidence intervals for coverage (and bias-eliminated coverage) assuming t-distributed critical values (rather than normal theory intervals).
-See \code{vignette("E-custom-inputs", package = "rsimsum")} for more details.}
+See \code{vignette("E-custom-inputs", package = "rsimsum")} for more details.
+Note that some column names are forbidden: these are listed below in the \emph{Details} section.}
 
 \item{dropbig}{Specifies that point estimates or standard errors beyond the maximum acceptable values should be dropped. Defaults to \code{FALSE}.}
 
diff --git a/man/simsum.Rd b/man/simsum.Rd
index ac14786..672e582 100644
--- a/man/simsum.Rd
+++ b/man/simsum.Rd
@@ -23,33 +23,40 @@ simsum(
 \item{data}{A \code{data.frame} in which variable names are interpreted.
 It has to be in tidy format, e.g. each variable forms a column and each observation forms a row.}
 
-\item{estvarname}{The name of the variable containing the point estimates.}
+\item{estvarname}{The name of the variable containing the point estimates.
+Note that some column names are forbidden: these are listed below in the \emph{Details} section.}
 
-\item{se}{The name of the variable containing the standard errors of the point estimates.}
+\item{se}{The name of the variable containing the standard errors of the point estimates.
+Note that some column names are forbidden: these are listed below in the \emph{Details} section.}
 
 \item{true}{The true value of the parameter; this is used in calculations of bias, relative bias, coverage, and mean squared error and is required whenever these performance measures are requested.
 \code{true} can be a numeric value or a string that identifies a column in \code{data}.
 In the former setting, \code{simsum} will assume the same value for all replications; conversely, each replication will use a distinct value for \code{true} as identified by each row of \code{data}.
-See \code{vignette("E-custom-inputs", package = "rsimsum")} for more details.}
+See \code{vignette("E-custom-inputs", package = "rsimsum")} for more details.
+Note that some column names are forbidden: these are listed below in the \emph{Details} section.}
 
 \item{methodvar}{The name of the variable containing the methods to compare.
 For instance, methods could be the models compared within a simulation study.
 Can be \code{NULL}.
-If a vector of column names is passed to \code{simsum()}, those columns will be combined into a single column named \verb{:methodvar} using the \code{\link[base:interaction]{base::interaction()}} function before computing all performance measures.}
+If a vector of column names is passed to \code{simsum()}, those columns will be combined into a single column named \verb{:methodvar} using the \code{\link[base:interaction]{base::interaction()}} function before computing all performance measures.
+Note that some column names are forbidden: these are listed below in the \emph{Details} section.}
 
 \item{ref}{Specifies the reference method against which relative precision will be calculated.
 Only useful if \code{methodvar} is specified.}
 
 \item{by}{A vector of variable names to compute performance measures by a list of factors. Factors listed here are the (potentially several) data-generating mechanisms used to simulate data under different scenarios (e.g. sample size, true distribution of a variable, etc.).
-Can be \code{NULL}.}
+Can be \code{NULL}.
+Note that some column names are forbidden: these are listed below in the \emph{Details} section.}
 
 \item{ci.limits}{Can be used to specify the limits (lower and upper) of confidence intervals used to calculate coverage and bias-eliminated coverage.
 Useful for non-Wald type estimators (e.g. bootstrap).
 Defaults to \code{NULL}, where Wald-type confidence intervals based on the provided SEs are calculated for coverage; otherwise, it can be a numeric vector (for fixed confidence intervals) or a vector of strings that identify columns in \code{data} with replication-specific lower and upper limits.
-See \code{vignette("E-custom-inputs", package = "rsimsum")} for more details.}
+See \code{vignette("E-custom-inputs", package = "rsimsum")} for more details.
+Note that some column names are forbidden: these are listed below in the \emph{Details} section.}
 
 \item{df}{Can be used to specify that a column containing the replication-specific number of degrees of freedom that will be used to calculate confidence intervals for coverage (and bias-eliminated coverage) assuming t-distributed critical values (rather than normal theory intervals).
-See \code{vignette("E-custom-inputs", package = "rsimsum")} for more details.}
+See \code{vignette("E-custom-inputs", package = "rsimsum")} for more details.
+Note that some column names are forbidden: these are listed below in the \emph{Details} section.}
 
 \item{dropbig}{Specifies that point estimates or standard errors beyond the maximum acceptable values should be dropped. Defaults to \code{FALSE}.}
 
@@ -78,7 +85,7 @@ If, in addition, model-based standard errors are available then \code{simsum()}
 Monte Carlo errors are available for all estimated quantities.
 }
 \details{
-The following names are not allowed for \code{estvarname}, \code{se}, \code{methodvar}, \code{by}: \code{stat}, \code{est}, \code{mcse}, \code{lower}, \code{upper}, \verb{:methodvar}.
+The following names are not allowed for any column in \code{data} that is passed to \code{\link[=simsum]{simsum()}}: \code{stat}, \code{est}, \code{mcse}, \code{lower}, \code{upper}, \verb{:methodvar}, \verb{:true}.
 }
 \examples{
 data("MIsim", package = "rsimsum")
diff --git a/man/tt.Rd b/man/tt.Rd
index 2dfbd38..009cd29 100644
--- a/man/tt.Rd
+++ b/man/tt.Rd
@@ -9,7 +9,7 @@ A data frame with 4,000 rows and 8 variables:
 \itemize{
 \item \code{diff} The difference in mean between groups estimated by the t-test;
 \item \code{se} Standard error of the estimated difference;
-\item \code{lower}, \code{upper} Confidence interval for the difference in mean as reported by the t-test;
+\item \code{conf.low}, \code{conf.high} Confidence interval for the difference in mean as reported by the t-test;
 \item \code{df} The number of degrees of freedom assumed by the t-test;
 \item \code{repno} Identifies each replication, between 1 and 500;
 \item \code{dgm} Identifies each data-generating mechanism: 1 corresponds to normal data with equal variance between the groups, 2 is normal data with unequal variance, 3 and 4 are skewed data (simulated from a Gamma distribution) with equal and unequal variance between groups, respectively;
diff --git a/testing.R b/testing.R
index 3240518..57df378 100644
--- a/testing.R
+++ b/testing.R
@@ -1,34 +1,50 @@
 library(tidyverse)
 devtools::load_all()
-data("nlp", package = "rsimsum")
-
-nlp.subset <- nlp %>%
-  dplyr::filter(!(ss == 100 & esigma == 2))
 
-s.nlp.subset <- rsimsum::simsum(
-  data = nlp.subset,
-  estvarname = "b",
-  true = 0,
-  se = "se",
-  methodvar = "model",
-  by = c("baseline", "ss", "esigma")
+# #48
+library(rsimsum)
+s.nlp.true <- rsimsum::simsum(
+  data = nlp, estvarname = "b", true = "esigma", se = "se",
+  methodvar = "model", by = c("baseline", "ss", "esigma")
 )
-# Okay
-
-# But this is not okay:
-autoplot(s.nlp.subset, stats = "bias", type = "nlp")
+autoplot(s.nlp.true, stats = "bias", type = "nlp")
+nlp$esigma.copy <- nlp$esigma
+s.nlp.true2 <- rsimsum::simsum(
+  data = nlp, estvarname = "b", true = "esigma.copy", se = "se",
+  methodvar = "model", by = c("baseline", "ss", "esigma")
+)
+autoplot(s.nlp.true2, stats = "bias", type = "nlp")
 
-#
-data("MIsim", package = "rsimsum")
-s <- simsum(data = MIsim, estvarname = "b", true = 0.5, se = "se", methodvar = "method", ref = "CC", x = TRUE)
+# #49
+library(dplyr)
+devtools::load_all()
+data("nlp", package = "rsimsum")
+# estvarname:
+rsimsum::simsum(
+  data = rename(nlp, est = b), estvarname = "est", true = 0, se = "se",
+  methodvar = "model", by = c("baseline", "ss", "esigma")
+)
+# se:
+rsimsum::simsum(
+  data = rename(nlp, est = se), estvarname = "b", true = 0, se = "est",
+  methodvar = "model", by = c("baseline", "ss", "esigma")
+)
+# methodvar:
+rsimsum::simsum(
+  data = rename(nlp, est = model), estvarname = "b", true = 0, se = "se",
+  methodvar = "est", by = c("baseline", "ss", "esigma")
+)
+# by:
+rsimsum::simsum(
+  data = rename(nlp, est = ss), estvarname = "b", true = 0, se = "se",
+  methodvar = "model", by = c("baseline", "est", "esigma")
+)
 
-data("frailty", package = "rsimsum")
-ms <- multisimsum(
-  data = frailty,
-  par = "par", true = c(trt = -0.50, fv = 0.75),
-  estvarname = "b", se = "se", methodvar = "model",
-  by = "fv_dist",
-  x = TRUE
+# #48
+devtools::load_all()
+library(ggplot2)
+s.nlp.true <- rsimsum::simsum(
+  data = nlp, estvarname = "b", true = "esigma", se = "se",
+  methodvar = "model", by = c("baseline", "ss", "esigma")
 )
-ms
-autoplot(ms, par = "trt", type = "zip", zip_ci_colours = c("green", "red", "yellow"))
+autoplot(s.nlp.true, stats = "bias", type = "nlp")
diff --git a/tests/testthat/test-#15.R b/tests/testthat/test-#15.R
index d68bbae..95594ad 100644
--- a/tests/testthat/test-#15.R
+++ b/tests/testthat/test-#15.R
@@ -5,8 +5,8 @@ testthat::test_that("simsum with 'true' as a column returns the same results as
   data(tt, package = "rsimsum")
   tt$true <- -1
 
-  s1 <- simsum(data = tt, estvarname = "diff", true = "true", se = "se", ci.limits = c("lower", "upper"), methodvar = "method", by = "dgm")
-  s2 <- simsum(data = tt, estvarname = "diff", true = -1, se = "se", ci.limits = c("lower", "upper"), methodvar = "method", by = "dgm")
+  s1 <- simsum(data = tt, estvarname = "diff", true = "true", se = "se", ci.limits = c("conf.low", "conf.high"), methodvar = "method", by = "dgm")
+  s2 <- simsum(data = tt, estvarname = "diff", true = -1, se = "se", ci.limits = c("conf.low", "conf.high"), methodvar = "method", by = "dgm")
   testthat::expect_identical(object = tidy(s1), expected = tidy(s2))
 
   s1 <- simsum(data = tt, estvarname = "diff", true = "true", se = "se", methodvar = "method", by = "dgm")
@@ -22,8 +22,8 @@ testthat::test_that("simsum with 'true' as a column returns different results co
   data(tt, package = "rsimsum")
   tt$true <- stats::rnorm(n = nrow(tt), mean = -1, sd = 1)
 
-  s1 <- simsum(data = tt, estvarname = "diff", true = "true", se = "se", ci.limits = c("lower", "upper"), methodvar = "method", by = "dgm")
-  s2 <- simsum(data = tt, estvarname = "diff", true = -1, se = "se", ci.limits = c("lower", "upper"), methodvar = "method", by = "dgm")
+  s1 <- simsum(data = tt, estvarname = "diff", true = "true", se = "se", ci.limits = c("conf.low", "conf.high"), methodvar = "method", by = "dgm")
+  s2 <- simsum(data = tt, estvarname = "diff", true = -1, se = "se", ci.limits = c("conf.low", "conf.high"), methodvar = "method", by = "dgm")
   testthat::expect_false(object = identical(tidy(s1), tidy(s2)))
 
   s1 <- simsum(data = tt, estvarname = "diff", true = "true", se = "se", methodvar = "method", by = "dgm")
@@ -43,8 +43,8 @@ testthat::test_that("multisimsum with 'true' as a column returns the same result
     dplyr::mutate(tt, diff = diff + 1, true = true + 1, par = "diff2")
   )
 
-  m1 <- multisimsum(data = tt, estvarname = "diff", par = "par", true = c(diff1 = -1, diff2 = 0), se = "se", ci.limits = c("lower", "upper"), methodvar = "method", by = "dgm")
-  m2 <- multisimsum(data = tt, estvarname = "diff", par = "par", true = "true", se = "se", ci.limits = c("lower", "upper"), methodvar = "method", by = "dgm")
+  m1 <- multisimsum(data = tt, estvarname = "diff", par = "par", true = c(diff1 = -1, diff2 = 0), se = "se", ci.limits = c("conf.low", "conf.high"), methodvar = "method", by = "dgm")
+  m2 <- multisimsum(data = tt, estvarname = "diff", par = "par", true = "true", se = "se", ci.limits = c("conf.low", "conf.high"), methodvar = "method", by = "dgm")
   testthat::expect_identical(object = tidy(m1), expected = tidy(m2))
 })
 
@@ -56,7 +56,7 @@ testthat::test_that("multisimsum with 'true' as a column returns different resul
     dplyr::mutate(tt, diff = diff + 1, true = true + 1, par = "diff2")
   )
 
-  m1 <- multisimsum(data = tt, estvarname = "diff", par = "par", true = c(diff1 = -1, diff2 = 0), se = "se", ci.limits = c("lower", "upper"), methodvar = "method", by = "dgm")
-  m2 <- multisimsum(data = tt, estvarname = "diff", par = "par", true = "true", se = "se", ci.limits = c("lower", "upper"), methodvar = "method", by = "dgm")
+  m1 <- multisimsum(data = tt, estvarname = "diff", par = "par", true = c(diff1 = -1, diff2 = 0), se = "se", ci.limits = c("conf.low", "conf.high"), methodvar = "method", by = "dgm")
+  m2 <- multisimsum(data = tt, estvarname = "diff", par = "par", true = "true", se = "se", ci.limits = c("conf.low", "conf.high"), methodvar = "method", by = "dgm")
   testthat::expect_false(object = identical(tidy(m1), tidy(m2)))
 })
diff --git a/tests/testthat/test-#26.R b/tests/testthat/test-#26.R
index 760edb4..c10f15e 100644
--- a/tests/testthat/test-#26.R
+++ b/tests/testthat/test-#26.R
@@ -14,14 +14,14 @@ testthat::test_that("expect equivalent values when passing lower, upper (based o
   data("tt", package = "rsimsum")
 
   s6 <- simsum(data = tt, estvarname = "diff", se = "se", df = "df", true = -1)
-  s7 <- simsum(data = tt, estvarname = "diff", se = "se", ci.limits = c("lower", "upper"), true = -1)
+  s7 <- simsum(data = tt, estvarname = "diff", se = "se", ci.limits = c("conf.low", "conf.high"), true = -1)
   testthat::expect_equal(object = tidy(s6), expected = tidy(s7))
 
   s6 <- simsum(data = tt, estvarname = "diff", se = "se", methodvar = "method", df = "df", true = -1)
-  s7 <- simsum(data = tt, estvarname = "diff", se = "se", methodvar = "method", ci.limits = c("lower", "upper"), true = -1)
+  s7 <- simsum(data = tt, estvarname = "diff", se = "se", methodvar = "method", ci.limits = c("conf.low", "conf.high"), true = -1)
   testthat::expect_equal(object = tidy(s6), expected = tidy(s7))
 
   s6 <- simsum(data = tt, estvarname = "diff", se = "se", methodvar = "method", by = "dgm", df = "df", true = -1)
-  s7 <- simsum(data = tt, estvarname = "diff", se = "se", methodvar = "method", by = "dgm", ci.limits = c("lower", "upper"), true = -1)
+  s7 <- simsum(data = tt, estvarname = "diff", se = "se", methodvar = "method", by = "dgm", ci.limits = c("conf.low", "conf.high"), true = -1)
   testthat::expect_equal(object = tidy(s6), expected = tidy(s7))
 })
diff --git a/tests/testthat/test-autoplot.R b/tests/testthat/test-autoplot.R
index a3af1a7..b42483f 100644
--- a/tests/testthat/test-autoplot.R
+++ b/tests/testthat/test-autoplot.R
@@ -583,28 +583,28 @@ testthat::test_that("Testing more zip plot cases", {
   testthat::expect_s3_class(object = autoplot(s, type = "zip"), class = c("gg", "ggplot"))
   s <- simsum(data = tt, estvarname = "diff", se = "se", df = "df", true = -1, x = TRUE)
   testthat::expect_s3_class(object = autoplot(s, type = "zip"), class = c("gg", "ggplot"))
-  s <- simsum(data = tt, estvarname = "diff", se = "se", ci.limits = c("lower", "upper"), true = -1, x = TRUE)
+  s <- simsum(data = tt, estvarname = "diff", se = "se", ci.limits = c("conf.low", "conf.high"), true = -1, x = TRUE)
   testthat::expect_s3_class(object = autoplot(s, type = "zip"), class = c("gg", "ggplot"))
 
   s <- simsum(data = tt, estvarname = "diff", se = "se", methodvar = "method", true = -1, x = TRUE)
   testthat::expect_s3_class(object = autoplot(s, type = "zip"), class = c("gg", "ggplot"))
   s <- simsum(data = tt, estvarname = "diff", se = "se", methodvar = "method", df = "df", true = -1, x = TRUE)
   testthat::expect_s3_class(object = autoplot(s, type = "zip"), class = c("gg", "ggplot"))
-  s <- simsum(data = tt, estvarname = "diff", se = "se", methodvar = "method", ci.limits = c("lower", "upper"), true = -1, x = TRUE)
+  s <- simsum(data = tt, estvarname = "diff", se = "se", methodvar = "method", ci.limits = c("conf.low", "conf.high"), true = -1, x = TRUE)
   testthat::expect_s3_class(object = autoplot(s, type = "zip"), class = c("gg", "ggplot"))
 
   s <- simsum(data = tt, estvarname = "diff", se = "se", by = "dgm", true = -1, x = TRUE)
   testthat::expect_s3_class(object = autoplot(s, type = "zip"), class = c("gg", "ggplot"))
   s <- simsum(data = tt, estvarname = "diff", se = "se", by = "dgm", df = "df", true = -1, x = TRUE)
   testthat::expect_s3_class(object = autoplot(s, type = "zip"), class = c("gg", "ggplot"))
-  s <- simsum(data = tt, estvarname = "diff", se = "se", by = "dgm", ci.limits = c("lower", "upper"), true = -1, x = TRUE)
+  s <- simsum(data = tt, estvarname = "diff", se = "se", by = "dgm", ci.limits = c("conf.low", "conf.high"), true = -1, x = TRUE)
   testthat::expect_s3_class(object = autoplot(s, type = "zip"), class = c("gg", "ggplot"))
 
   s <- simsum(data = tt, estvarname = "diff", se = "se", methodvar = "method", by = "dgm", true = -1, x = TRUE)
   testthat::expect_s3_class(object = autoplot(s, type = "zip"), class = c("gg", "ggplot"))
   s <- simsum(data = tt, estvarname = "diff", se = "se", methodvar = "method", by = "dgm", df = "df", true = -1, x = TRUE)
   testthat::expect_s3_class(object = autoplot(s, type = "zip"), class = c("gg", "ggplot"))
-  s <- simsum(data = tt, estvarname = "diff", se = "se", methodvar = "method", by = "dgm", ci.limits = c("lower", "upper"), true = -1, x = TRUE)
+  s <- simsum(data = tt, estvarname = "diff", se = "se", methodvar = "method", by = "dgm", ci.limits = c("conf.low", "conf.high"), true = -1, x = TRUE)
   testthat::expect_s3_class(object = autoplot(s, type = "zip"), class = c("gg", "ggplot"))
 
   testthat::expect_s3_class(object = autoplot(s, type = "zip"), class = c("gg", "ggplot"))
diff --git a/tests/testthat/test-ci.limits.R b/tests/testthat/test-ci.limits.R
index 9ceaf28..119049e 100644
--- a/tests/testthat/test-ci.limits.R
+++ b/tests/testthat/test-ci.limits.R
@@ -10,12 +10,12 @@ testthat::test_that("ci.limits breaks if logic vector", {
 })
 
 testthat::test_that("ci.limits works ok with string or numeric vectors", {
-  testthat::expect_s3_class(object = rsimsum::simsum(data = tt, estvarname = "diff", true = -1, se = "se", ci.limits = c("lower", "upper"), methodvar = "method", by = "dgm"), class = "simsum")
+  testthat::expect_s3_class(object = rsimsum::simsum(data = tt, estvarname = "diff", true = -1, se = "se", ci.limits = c("conf.low", "conf.high"), methodvar = "method", by = "dgm"), class = "simsum")
   testthat::expect_s3_class(object = rsimsum::simsum(data = tt, estvarname = "diff", true = -1, se = "se", ci.limits = c(-2, 0), methodvar = "method", by = "dgm"), class = "simsum")
 })
 
 testthat::test_that("ci.limits with string vector yields different values of coverage than the default", {
-  s <- rsimsum::simsum(data = tt, estvarname = "diff", true = -1, se = "se", ci.limits = c("lower", "upper"), methodvar = "method", by = "dgm")
+  s <- rsimsum::simsum(data = tt, estvarname = "diff", true = -1, se = "se", ci.limits = c("conf.low", "conf.high"), methodvar = "method", by = "dgm")
   s <- tidy(s, stats = "cover")
   sdef <- rsimsum::simsum(data = tt, estvarname = "diff", true = -1, se = "se", methodvar = "method", by = "dgm")
   sdef <- tidy(sdef, stats = "cover")
diff --git a/vignettes/E-custom-inputs.Rmd b/vignettes/E-custom-inputs.Rmd
index db73d39..96b3912 100644
--- a/vignettes/E-custom-inputs.Rmd
+++ b/vignettes/E-custom-inputs.Rmd
@@ -44,7 +44,7 @@ t.test(extra ~ group, data = sleep)
 We can incorporate custom confidence intervals by passing the name of two columns in `data` as the `ci.limits` argument:
 
 ```{r}
-s1 <- simsum(data = tt, estvarname = "diff", true = -1, se = "se", ci.limits = c("lower", "upper"), methodvar = "method", by = "dgm")
+s1 <- simsum(data = tt, estvarname = "diff", true = -1, se = "se", ci.limits = c("conf.low", "conf.high"), methodvar = "method", by = "dgm")
 summary(s1, stats = "cover")
 ```
 
@@ -65,7 +65,7 @@ s3 <- simsum(data = tt, estvarname = "diff", true = -1, se = "se", ci.limits = c
 summary(s3, stats = "cover")
 ```
 
-If you have a better example of the utility of this method please [get in touch](https://twitter.com/ellessenne) - I'd love to hear from you!
+If you have a better example of the utility of this method please get in touch: I'd love to hear from you!
 
 By default, `simsum` will calculate confidence intervals using normal-theory, Wald-type intervals.
 It is possible to use t-based critical values by providing a column for the (replication-specific) degrees of freedom (analogously as passing confidence bounds to `ci.limits`):
@@ -74,7 +74,7 @@ It is possible to use t-based critical values by providing a column for the (rep
 s4 <- simsum(data = tt, estvarname = "diff", true = -1, se = "se", df = "df", methodvar = "method", by = "dgm")
 ```
 
-Given that the confidence intervals in (`lower`, `upper`) are obtained by using critical values from a t distribution, the results of `s4` will be equivalent to the results of `s1`:
+Given that the confidence intervals in (`conf.low`, `conf.high`) are obtained by using critical values from a t distribution, the results of `s4` will be equivalent to the results of `s1`:
 
 ```{r}
 all.equal(tidy(s1), tidy(s4))
@@ -84,7 +84,7 @@ We can pass a column of values for `true` as well:
 
 ```{r}
 tt$true <- -1
-s5 <- simsum(data = tt, estvarname = "diff", true = "true", se = "se", ci.limits = c("lower", "upper"), methodvar = "method", by = "dgm")
+s5 <- simsum(data = tt, estvarname = "diff", true = "true", se = "se", ci.limits = c("conf.low", "conf.high"), methodvar = "method", by = "dgm")
 summary(s5, stats = "cover")
 ```
 
@@ -172,15 +172,15 @@ This approach is particularly useful when the true value might vary across repli
 Of course, it can be combined with custom confidence interval limits for coverage as well:
 
 ```{r}
-frailty$lower <- frailty$b - qt(1 - 0.05 / 2, df = 10) * frailty$se
-frailty$upper <- frailty$b + qt(1 - 0.05 / 2, df = 10) * frailty$se
+frailty$conf.low <- frailty$b - qt(1 - 0.05 / 2, df = 10) * frailty$se
+frailty$conf.high <- frailty$b + qt(1 - 0.05 / 2, df = 10) * frailty$se
 
 ms3 <- multisimsum(
   data = frailty,
   par = "par", true = "true",
   estvarname = "b", se = "se", methodvar = "model",
   by = "fv_dist",
-  ci.limits = c("lower", "upper")
+  ci.limits = c("conf.low", "conf.high")
 )
 summary(ms3, stats = "cover")
 ```