X-Git-Url: https://git.auder.net/?p=valse.git;a=blobdiff_plain;f=pkg%2FDESCRIPTION;h=13fee37e772fdedc7184ff2936b976ba27050e13;hp=77812ed25ed40223085631507ecc029f8411a83e;hb=64cceb2ece0d8142fee3e82e1cc56e20261caf45;hpb=1196a43d961a95abc18d3c8e777e9a4e8233e562 diff --git a/pkg/DESCRIPTION b/pkg/DESCRIPTION index 77812ed..13fee37 100644 --- a/pkg/DESCRIPTION +++ b/pkg/DESCRIPTION @@ -1,6 +1,6 @@ Package: valse Title: Variable Selection with Mixture of Models -Date: 2020-03-11 +Date: 2021-05-16 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 @@ -13,22 +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, - ggplot2, cowplot, + ggplot2, reshape2 Suggests: capushe, roxygen2 -URL: http://git.auder.net/?p=valse.git +URL: https://git.auder.net/?p=valse.git License: MIT + file LICENSE -RoxygenNote: 7.0.2 +RoxygenNote: 7.1.1 Collate: 'plot_valse.R' 'main.R'