Update README for CRAN availability

Update CRAN URL in vignette "paper"
nunofachada · May 8, 2016 · 75d9adb · 75d9adb
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diff --git 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
@@ -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.