Preparing files for CRAN submission

Author: dppalomar

Diff for: .Rbuildignore

@@ -12,8 +12,9 @@
 ^vignettes$
 ^vignettes/CovarianceEstimationHeavyTail_cache$
 ^vignettes/CovarianceEstimationHeavyTail_files$
+^vignettes/old-versions$
 ^vignettes/CovarianceEstimationHeavyTail\.Rmd$
-^vignettes/CovarianceEstimationHeavyTail_v.*\.html$
+^vignettes/CovarianceEstimationHeavyTail-html_vignette\.html$
 ^vignettes/apalike\.csl$
 ^vignettes/refs\.bib$
 ^vignettes/preamble\.tex$

Diff for: DESCRIPTION

@@ -1,7 +1,7 @@
 Package: fitHeavyTail
 Title: Mean and Covariance Matrix Estimation under Heavy Tails
-Version: 0.1.4.9000
-Date: 2023-5-11
+Version: 0.2.0
+Date: 2023-5-1
 Description: Robust estimation methods for the mean vector, scatter matrix,
     and covariance matrix (if it exists) from data (possibly containing NAs) 
     under multivariate heavy-tailed distributions such as angular Gaussian 
@@ -37,10 +37,9 @@ Imports:
     numDeriv,
     stats
 Suggests:
-    knitr,
-    ggplot2,
-    prettydoc,
+    ggplot2, 
     reshape2,
+    knitr,
     rmarkdown,
     R.rsp,
     testthat

Diff for: NEWS.md

@@ -1,12 +1,12 @@
-## Changes in fitHeavyTail version 0.2.0 (2023-4-28)
+## Changes in fitHeavyTail version 0.2.0 (2023-5-1)
 
-* New methods OPP and POP for the estimation of nu: nu_OPP_estimator() and nu_POP_estimator()
+* New methods OPP and POP for the estimation of nu: `nu_OPP_estimator()` and `nu_POP_estimator()`.
 
-* Function fit_mvt() updated using POP as default method for nu.
+* Function `fit_mvt()` updated using POP as default method for nu.
 
 * Vignette updated.
 
-* Functions fit_Tyler() and fit_Cauchy() now recover the missing scaling factor with the improved OPP harmonic method.
+* Functions `fit_Tyler()` and `fit_Cauchy()` now recover the missing scaling factor with the improved OPP-harmonic method.
 
 * New contributors added for OPP and POP methods: Frederic Pascal and Esa Ollila.
 

Diff for: R/nu_OPP_estimator.R

@@ -45,7 +45,8 @@
 #'
 #' # usage #2
 #' r2 <- rowSums(Xc * (Xc %*% solve(Sigma_true)))
-#' nu_OPP_estimator(var_X = 1/(T-1)*colSums(Xc^2), trace_scatter = sum(diag(Sigma_true)), method = "OPP-harmonic", r2 = r2)
+#' nu_OPP_estimator(var_X = 1/(T-1)*colSums(Xc^2), trace_scatter = sum(diag(Sigma_true)),
+#'                  method = "OPP-harmonic", r2 = r2)
 #'
 #' @export
 nu_OPP_estimator <- function(var_X, trace_scatter, r2,

Diff for: cran-comments.md

@@ -1,9 +1,9 @@
-This is version 0.1.4 (2022-5-11) in CRAN (package also available in GitHub).
+This is version 0.2.0 (2023-5-1) in CRAN (package also available in GitHub).
 
 ---
 
 ## Test environments
-* OS X, R 4.1.3
+* OS X, R 4.2.1
 * Windows at https://win-builder.r-project.org/
 
 ## R CMD check results

Diff for: inst/CITATION

@@ -3,15 +3,17 @@ citHeader("To cite 'fitHeavyTail' in publications, please use:")
 citEntry(entry = "Manual",
          title        = "{fitHeavyTail: Mean and Covariance Matrix Estimation under Heavy Tails}",
          author       = personList(as.person("D. P. Palomar"),
-                                   as.person("Rui Zhou"),
-                                   as.person("Xiwen Wang")),
-         note         = "R package version 0.1.4",
-         year         = "2022",
+                                   as.person("R. Zhou"),
+                                   as.person("X. Wang"),
+                                   as.person("F. Pascal"),
+                                   as.person("E. Ollila")),
+         note         = "R package version 0.2.0",
+         year         = "2023",
          url          = "https://CRAN.R-project.org/package=fitHeavyTail",
          textVersion  =
-           paste("D. P. Palomar, Rui Zhou, and Xiwen Wang (2022).",
+           paste("D. P. Palomar, R. Zhou, X. Wang, F. Pascal, and E. Ollila (2023).",
                  "fitHeavyTail: Mean and Covariance Matrix Estimation under Heavy Tails.",
-                 "R package version 0.1.4.",
+                 "R package version 0.2.0.",
                  "https://CRAN.R-project.org/package=fitHeavyTail")
 )
 

Diff for: man/nu_OPP_estimator.Rd

@@ -1,7 +1,6 @@
 context("Function \"fit_Cauchy()\"")
 #library(testthat)
 
-
 load("X_mvt.RData")
 # recall:
 # scatter_true <- diag(5)

Diff for: tests/testthat/test-fit_Cauchy.R

@@ -1,3 +1,4 @@
 CovarianceEstimationHeavyTail_cache
 CovarianceEstimationHeavyTail_files
 lala.RData
+CovarianceEstimationHeavyTail-html_vignette.html

Diff for: vignettes/.gitignore

@@ -8,6 +8,9 @@ output:
   html_document:
     toc: yes
     toc_depth: 2
+  rmarkdown::html_vignette:
+    toc: yes
+    toc_depth: 2
 csl: apalike.csl
 csl-entry-spacing: 0.5em
 bibliography: refs.bib
@@ -40,9 +43,7 @@ opts_chunk$set(
 )
 knitr_in_progress <- isTRUE(getOption('knitr.in.progress'))
 knit_hooks$set(pngquant = hook_pngquant)
-# rmarkdown::render("vignettes/CovarianceEstimationHeavyTail.Rmd")
-# rmarkdown::render("vignettes/CovarianceEstimationHeavyTail.Rmd", output_format = "pdf_document", params = list(num_realiz = 100))
-# rmarkdown::render("vignettes/CovarianceEstimationHeavyTail.Rmd", params = list(num_realiz = 100))
+# rmarkdown::render("vignettes/CovarianceEstimationHeavyTail.Rmd", output_format = "rmarkdown::html_vignette", params = list(num_realiz = 100))
 ```
 
 -----------