Update paper references to be current.

DESCRIPTION

@@ -2,18 +2,18 @@ Package: iccbeta
 Type: Package
 Title: Multilevel Model Intraclass Correlation for Slope Heterogeneity
 Version: 1.0.1
-Date: 2017-04-25
+Date: 2017-04-26
 Authors@R: c(person("Steven Andrew", "Culpepper", role = c("aut", "cph","cre"),
     email = "sculpepp@illinois.edu"),
     person("Herman", "Aguinis", role = c("aut", "cph"), email =
     "haguinis@gwu.edu"))
 License: GPL (>= 2)
 Description: A function and vignettes for computing an intraclass correlation
-    described in Aguinis & Culpepper (in press). iccbeta quantifies the share
-    of variance in a dependent variable that is attributed to group
-    heterogeneity in slopes.
-Imports: Rcpp (>= 0.11.1)
-LinkingTo: Rcpp (>= 0.11.1), RcppArmadillo
+    described in Aguinis & Culpepper (2015) <doi:10.1177/1094428114563618>.
+    This package quantifies the share of variance in a dependent variable that
+    is attributed to group heterogeneity in slopes.
+Imports: Rcpp (>= 0.12.10)
+LinkingTo: Rcpp (>= 0.12.10), RcppArmadillo (>= 0.7.800)
 Depends: R (>= 3.0.2), lme4
 URL: https://github.com/tmsalab/iccbeta
 BugReports: https://github.com/tmsalab/iccbeta/issues

R/RcppExports.R

@@ -5,7 +5,7 @@
 #' relationships across higher-order processes/units.
 #' 
 #' A function and vignettes for computing the intraclass correlation described
-#' in Aguinis & Culpepper (in press). iccbeta quantifies the share of variance
+#' in Aguinis & Culpepper (2015). iccbeta quantifies the share of variance
 #' in an outcome variable that is attributed to heterogeneity in slopes due to
 #' higher-order processes/units. 
 #' @param X    The design \code{matrix} of fixed effects from a lmer model.
@@ -21,14 +21,14 @@
 #'          \code{\link[lme4]{VarCorr}}, \code{\link[RLRsim]{LRTSim}},
 #'          \code{\link{Hofmann}}, \code{\link{simICCdata}}
 #' @references 
-#' Aguinis, H., & Culpepper, S.A. (in press). An expanded decision making
+#' Aguinis, H., & Culpepper, S.A. (2015). An expanded decision making
 #' procedure for examining cross-level interaction effects with multilevel
 #' modeling. \emph{Organizational Research Methods}. Available at:
 #' \url{http://hermanaguinis.com/pubs.html}
 #' @export
 #' @examples
 #' \dontrun{
-#' # Simulated Data Example from Aguinis & Culpepper (in press)
+#' # Simulated Data Example from Aguinis & Culpepper (2015)
 #' data(simICCdata)
 #' require(lme4)
 #'     

R/datasets-docs.R

@@ -13,7 +13,7 @@
 #' }
 #' @source 
 #' Hofmann, D.A., Griffin, M.A., & Gavin, M.B. (2000). The application of hierarchical linear modeling to management research. In K.J. Klein, & S.W.J. Kozlowski (Eds.), Multilevel theory, research, and methods in organizations: Foundations, extensions, and new directions (pp. 467-511).  Hoboken, NJ: Jossey-Bass.
-#' @references Aguinis, H., & Culpepper, S.A. (in press). An expanded decision
+#' @references Aguinis, H., & Culpepper, S.A. (2015). An expanded decision
 #' making procedure for examining cross-level interaction effects with
 #' multilevel modeling. \emph{Organizational Research Methods}.
 #' Available at: \url{http://hermanaguinis.com/pubs.html}
@@ -53,9 +53,9 @@
 #' }
 "Hofmann"
 
-#' Simulated data example from Aguinis and Culpepper (in press).
+#' Simulated data example from Aguinis and Culpepper (2015).
 #'
-#' A simulated data example from Aguinis and Culpepper (in press) to demonstrate
+#' A simulated data example from Aguinis and Culpepper (2015) to demonstrate
 #' the \code{\link{icc_beta}} function for computing the proportion of variance
 #' in the outcome variable that is attributed to heterogeneity in slopes due to
 #' higher-order processes/units. 
@@ -70,8 +70,8 @@
 #'     \item{\code{Y}}{A simulated outcome variable.}
 #' }
 #' @details
-#' See Aguinis and Culpepper (in press) for the model used to simulate the dataset. 
-#' @source Aguinis, H., & Culpepper, S.A. (in press). An expanded decision
+#' See Aguinis and Culpepper (2015) for the model used to simulate the dataset. 
+#' @source Aguinis, H., & Culpepper, S.A. (2015). An expanded decision
 #' making procedure for examining cross-level interaction effects with
 #' multilevel modeling. \emph{Organizational Research Methods}.
 #' Available at: \url{http://www.hermanaguinis.com/pubs.html}

R/iccbeta-internal.R

@@ -4,7 +4,7 @@
 NULL
 
 #' @references
-#' Aguinis, H., & Culpepper, S.A. (in press).
+#' Aguinis, H., & Culpepper, S.A. (2015).
 #' An expanded decision making procedure for examining cross-level interaction
 #' effects with multilevel modeling. \emph{Organizational Research Methods}.
 #' Available at: \url{http://www.hermanaguinis.com/pubs.html}

cran-comments.md

@@ -3,9 +3,23 @@
 * ubuntu 12.04 (on travis-ci), R 3.4.0
 * win-builder (devel and release)
 
+## Feedback
+
+The previously submitted version of this package had a CRAN maintainer request
+preprint information regarding Aguinis & Culpepper (in press). This has been 
+updated in the description and relevant documentation to point to the paper
+published in 2015 on the authors respective website. Furthermore, we have
+changed the sentence in the `DESCRIPTION` file from:
+
+> iccbeta quantifies the share ...
+
+To:
+
+> This package quantifies the share ...
+
 ## R CMD check results
 
-0 errors | 0 warnings | 0 note
+0 errors | 0 warnings | 1 note
 
 We have one note related to spelling:
 

inst/CITATION

@@ -5,8 +5,9 @@ citEntry(entry="Article",
          author = personList(as.person("Herman Aguinis"),
          as.person("Steven Andrew Culpepper")),
 	 journal = "Organization Research Methods",
-         year = "in press",
+         year = "2015",
          url = "http://www.hermanaguinis.com/pubs.html",
          pdf = "http://www.hermanaguinis.com/ORM2015.pdf",
-         textVersion = "Agunis, H. & Culpepper, S. A. (in press). An expanded decision making procedure for examining cross-level interaction effects with multilevel modeling. Organizational Research Methods.")
+         doi = "10.1177/1094428114563618",
+         textVersion = "Agunis, H. & Culpepper, S. A. (2015). An expanded decision making procedure for examining cross-level interaction effects with multilevel modeling. Organizational Research Methods.")
 

src/icc_beta.cpp

@@ -4,7 +4,7 @@
 //' relationships across higher-order processes/units.
 //' 
 //' A function and vignettes for computing the intraclass correlation described
-//' in Aguinis & Culpepper (in press). iccbeta quantifies the share of variance
+//' in Aguinis & Culpepper (2015). iccbeta quantifies the share of variance
 //' in an outcome variable that is attributed to heterogeneity in slopes due to
 //' higher-order processes/units. 
 //' @param X    The design \code{matrix} of fixed effects from a lmer model.
@@ -20,14 +20,14 @@
 //'          \code{\link[lme4]{VarCorr}}, \code{\link[RLRsim]{LRTSim}},
 //'          \code{\link{Hofmann}}, \code{\link{simICCdata}}
 //' @references 
-//' Aguinis, H., & Culpepper, S.A. (in press). An expanded decision making
+//' Aguinis, H., & Culpepper, S.A. (2015). An expanded decision making
 //' procedure for examining cross-level interaction effects with multilevel
 //' modeling. \emph{Organizational Research Methods}. Available at:
 //' \url{http://hermanaguinis.com/pubs.html}
 //' @export
 //' @examples
 //' \dontrun{
-//' # Simulated Data Example from Aguinis & Culpepper (in press)
+//' # Simulated Data Example from Aguinis & Culpepper (2015)
 //' data(simICCdata)
 //' require(lme4)
 //'