X-Git-Url: https://git.auder.net/?p=valse.git;a=blobdiff_plain;f=pkg%2FDESCRIPTION;h=ac463663660720f58de436f9cb0d13d1edf2bff7;hp=c28f54bdca86fc33fb27d6e08bb9df7e80d9ca28;hb=d57c255b4a437a5e9afb4ff1b939282944c18eb5;hpb=923ed737d0fa335b858204b813c964432488abbe

diff --git a/pkg/DESCRIPTION b/pkg/DESCRIPTION
index c28f54b..ac46366 100644
--- a/pkg/DESCRIPTION
+++ b/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: valse
-Title: Variable Selection With Mixture Of Models
-Date: 2016-12-01
+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
@@ -11,23 +11,24 @@ Description: Two methods are implemented to cluster data with finite mixture
     (slope heuristic, BIC or AIC). Details of the procedure are provided in 'Model-
     based clustering for high-dimensional data. Application to functional data' by
     Emilie Devijver, published in Advances in Data Analysis and Clustering (2016).
-Author: Benjamin Auder <Benjamin.Auder@math.u-psud.fr> [aut,cre],
+Author: Benjamin Auder <benjamin.auder@universite-paris-saclay.fr> [aut,cre],
     Emilie Devijver <Emilie.Devijver@kuleuven.be> [aut],
-    Benjamin Goehry <Benjamin.Goehry@math.u-psud.fr> [aut]
-Maintainer: Benjamin Auder <Benjamin.Auder@math.u-psud.fr>
+    Benjamin Goehry <Benjamin.Goehry@math.u-psud.fr> [ctb]
+Maintainer: Benjamin Auder <benjamin.auder@universite-paris-saclay.fr>
 Depends:
-    R (>= 3.0.0)
+    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: 5.0.1
+RoxygenNote: 7.0.2
 Collate:
     'plot_valse.R'
     'main.R'