preparation for resubmission

.Rbuildignore

@@ -11,3 +11,4 @@ cran-comments.md
 ^doc$
 ^Meta$
 ^\.github$
+^CRAN-RELEASE$

DESCRIPTION

@@ -10,17 +10,17 @@ Authors@R:
       email = "david.barkemeyer@campus.tu-berlin.de",
       role = "aut")
     )
-Description: The weibulltools package focuses on statistical methods and 
-             visualizations that are often used in reliability engineering. It 
-             provides a compact and easily accessible set of methods and visualization 
-             tools that make the examination and adjustment as well as the analysis 
-             and interpretation of field data (and bench tests) as simple as possible.
+Description: Provides statistical methods and visualizations that are often 
+             used in reliability engineering. Comprises a compact and easily 
+             accessible set of methods and visualization tools that make the 
+             examination and adjustment as well as the analysis and interpretation 
+             of field data (and bench tests) as simple as possible.
              Non-parametric estimators like Median Ranks, 
              Kaplan-Meier (Abernethy, 2006, <ISBN:978-0-9653062-3-2>), 
              Johnson (Johnson, 1964, <ISBN:978-0444403223>), and Nelson-Aalen 
              for failure probability estimation within samples that contain 
              failures as well as censored data are included.   
-             It also supports methods like Maximum Likelihood and Rank Regression, 
+             The package supports methods like Maximum Likelihood and Rank Regression, 
              (Genschel and Meeker, 2010, <DOI:10.1080/08982112.2010.503447>) 
              for the estimation of multiple parametric lifetime distributions,  
              as well as the computation of confidence intervals of quantiles and 
@@ -33,14 +33,14 @@ Description: The weibulltools package focuses on statistical methods and
              Monte Carlo methods for the correction and completion of imprecisely 
              recorded or unknown lifetime characteristics.
              (Verband der Automobilindustrie e.V. (VDA), 2016, <ISSN:0943-9412>). 
-             Plots are created statically (ggplot2) or interactively (plotly) and 
+             Plots are created statically ('ggplot2') or interactively ('plotly') and 
              can be customized with functions of the respective visualization package.
              The graphical technique of probability plotting as well as the addition 
              of regression lines and confidence bounds to existing plots are 
              supported. 
 License: GPL-2
-URL: https://tim-tu.github.io/weibulltools/
-    https://github.com/Tim-TU/weibulltools
+URL: https://tim-tu.github.io/weibulltools,
+     https://github.com/Tim-TU/weibulltools
 BugReports: https://github.com/Tim-TU/weibulltools/issues
 Imports:
     dplyr,
@@ -58,6 +58,7 @@ Imports:
     tidyr
 LinkingTo: Rcpp (>= 0.12.18), RcppArmadillo
 Depends: R (>= 3.5.0)
+Language: en-US
 Encoding: UTF-8
 LazyData: true
 RoxygenNote: 7.1.1

R/mixture_identification.R

@@ -501,7 +501,7 @@ print.wt_mixmod_regression_list <- function(x,
 #'   \itemize{
 #'     \item Doganaksoy, N.; Hahn, G.; Meeker, W. Q., Reliability Analysis by
 #'       Failure Mode, Quality Progress, 35(6), 47-52, 2002
-#'     \item Blog posts by Stefan Gelissen: \url{http://blogs2.datall-analyse.nl/2016/02/18/rcode_mixture_distribution_censored};
+#'     \item Blog posts by Stefan Gelissen: \url{https://blogs2.datall-analyse.nl/2016/02/18/rcode_mixture_distribution_censored/};
 #'       last accessed on 8th December 2020}
 #'
 #' @examples

R/weibulltools-package.R

@@ -3,11 +3,11 @@
 #' @title weibulltools
 #'
 #' @description
-#' The \emph{weibulltools} package focuses on statistical methods and
-#' visualizations that are often used in reliability engineering. It provides a
-#' compact and easily accessible set of methods and visualization tools that
-#' make the examination and adjustment as well as the analysis and
-#' interpretation of field data (and bench tests) as simple as possible.
+#' Provides statistical methods and visualizations that are often used in
+#' reliability engineering. Comprises a compact and easily accessible set of
+#' methods and visualization tools that make the examination and adjustment as
+#' well as the analysis and interpretation of field data (and bench tests) as
+#' simple as possible.
 #'
 #' Besides the well-known Weibull analysis, the package supports multiple
 #' lifetime distributions and also contains Monte Carlo methods for the

README.Rmd

@@ -32,7 +32,7 @@ Plots are created statically ([ggplot2](https://ggplot2.tidyverse.org/)) or inte
 
 ## Installation
 
-The latest released version of *weibulltools* from [CRAN](https://cran.r-project.org/web/packages/weibulltools/) can be installed with:
+The latest released version of *weibulltools* from [CRAN](https://CRAN.R-project.org/package=weibulltools) can be installed with:
 
 ```{r, eval = FALSE}
 install.packages("weibulltools")

README.md

@@ -33,8 +33,8 @@ with functions of the respective visualization package.
 ## Installation
 
 The latest released version of *weibulltools* from
-[CRAN](https://cran.r-project.org/web/packages/weibulltools/) can be
-installed with:
+[CRAN](https://CRAN.R-project.org/package=weibulltools) can be installed
+with:
 
 ``` r
 install.packages("weibulltools")

cran-comments.md

@@ -3,6 +3,14 @@ title: "CRAN comments"
 output: html_document
 ---
 
+## This is a resubmission
+
+* Uwe Ligges confirmed that the version number can be kept as 2.0.0 for the resubmission
+* omitted the package name of the own package in the description field
+* single quoted packages in the description field
+* fixed invalid URLs
+* CRAN URL in canonical form 
+
 ## Release summary
 
 This is the major release 2.0.0.

docs/pkgdown.yml

@@ -5,5 +5,5 @@ articles:
   Life_Data_Analysis_Part_I: Life_Data_Analysis_Part_I.html
   Life_Data_Analysis_Part_II: Life_Data_Analysis_Part_II.html
   Life_Data_Analysis_Part_III: Life_Data_Analysis_Part_III.html
-last_built: 2021-01-11T08:29Z
+last_built: 2021-01-12T07:31Z