X-Git-Url: https://git.auder.net/?p=valse.git;a=blobdiff_plain;f=pkg%2FDESCRIPTION;h=edb335647c67f6fe1925bf69e5ac3e2344459e83;hp=b620b65ea52312f23c5ae9f7691deea37d695e9b;hb=93dcdea364307b9d5ebe71958deb5df2a48547b3;hpb=6775f5b98ffc7eae7ce9d4081b23b39ce66d3c0b diff --git a/pkg/DESCRIPTION b/pkg/DESCRIPTION index b620b65..edb3356 100644 --- a/pkg/DESCRIPTION +++ b/pkg/DESCRIPTION @@ -1,6 +1,6 @@ Package: valse -Title: Variable Selection With Mixture Of Models -Date: 2020-01-11 +Title: Variable Selection with Mixture of Models +Date: 2020-03-11 Version: 0.1-0 Description: Two methods are implemented to cluster data with finite mixture regression models. Those procedures deal with high-dimensional covariates and @@ -13,21 +13,22 @@ Description: Two methods are implemented to cluster data with finite mixture Emilie Devijver, published in Advances in Data Analysis and Clustering (2016). Author: Benjamin Auder [aut,cre], Emilie Devijver [aut], - Benjamin Goehry [aut] + Benjamin Goehry [ctb] Maintainer: Benjamin Auder Depends: R (>= 3.5.0) Imports: MASS, - parallel + parallel, + ggplot2, + cowplot, + reshape2 Suggests: capushe, - methods, - roxygen2, - testthat + roxygen2 URL: http://git.auder.net/?p=valse.git License: MIT + file LICENSE -RoxygenNote: 7.0.2 +RoxygenNote: 7.1.0 Collate: 'plot_valse.R' 'main.R'