X-Git-Url: https://git.auder.net/?p=valse.git;a=blobdiff_plain;f=pkg%2FDESCRIPTION;h=13fee37e772fdedc7184ff2936b976ba27050e13;hp=65ed44808de065d5aac2bf6199862919d77912f0;hb=64cceb2ece0d8142fee3e82e1cc56e20261caf45;hpb=f32535f2bc8d50470aa87204bbd7971805dbc9ef diff --git a/pkg/DESCRIPTION b/pkg/DESCRIPTION index 65ed448..13fee37 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: 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 @@ -13,21 +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, + cowplot, + ggplot2, + reshape2 Suggests: capushe, - methods, - roxygen2, - testthat -URL: http://git.auder.net/?p=valse.git + roxygen2 +URL: https://git.auder.net/?p=valse.git License: MIT + file LICENSE -RoxygenNote: 6.0.1 +RoxygenNote: 7.1.1 Collate: 'plot_valse.R' 'main.R'