X-Git-Url: https://git.auder.net/?p=valse.git;a=blobdiff_plain;f=pkg%2FDESCRIPTION;h=ac463663660720f58de436f9cb0d13d1edf2bff7;hp=8dd0fcbf429b617e8469218c023836e0e5fc2756;hb=d57c255b4a437a5e9afb4ff1b939282944c18eb5;hpb=859c30ec72871f923da0498c14a94e67b0219875 diff --git a/pkg/DESCRIPTION b/pkg/DESCRIPTION index 8dd0fcb..ac46366 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 @@ -13,16 +13,18 @@ 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 URL: http://git.auder.net/?p=valse.git License: MIT + file LICENSE