diff --git a/README.md b/README.md index b7eb969..b949bdc 100644 --- a/README.md +++ b/README.md @@ -18,8 +18,8 @@ the [devtools] package): ```R devtools::install_github("fakenmc/micompr") ``` -The package has been submitted to [CRAN] and, if accepted, will be installable -via the following instruction: +A stable version of the package is available on [CRAN] and can be installed with +the following instruction: ```R install.packages("micompr") diff --git a/vignettes/paper.Rnw b/vignettes/paper.Rnw index 93c4d02..5f347cc 100644 --- a/vignettes/paper.Rnw +++ b/vignettes/paper.Rnw @@ -146,7 +146,7 @@ While the procedure is most appropriate for comparing multivariate observations \subsection{Overview} -The \pkg{micompr} package for the R statistical computing environment implements the methodology proposed in Section \nameref{micompr:sec:theory}. Here we describe version 1.0.0 of the package, which is available at \url{https://cran.r-project.org/web/packages/micompr}. The development version is hosted at \url{https://github.com/fakenmc/micompr}. The package is covered by the MIT license. +The \pkg{micompr} package for the R statistical computing environment implements the methodology proposed in Section \nameref{micompr:sec:theory}. Here we describe version 1.0.0 of the package, which is available at \url{https://cran.r-project.org/package=micompr}. The development version is hosted at \url{https://github.com/fakenmc/micompr}. The package is covered by the MIT license. The \pkg{micompr} package is built upon two functions, \code{cmpoutput} and \code{micomp}. The former compares two or more samples of multivariate observations collected from one output. The latter is used for comparing multiple outputs and/or comparing outputs in multiple contexts. \code{grpoutputs} is a helper function for loading data from two or more set of files and preparing the data to be processed by the \code{cmpoutput} and/or \code{micomp} functions. \code{assumptions} is a generic function for assessing the assumptions of the parametric tests used in sample comparisons.