X-Git-Url: https://git.auder.net/?p=valse.git;a=blobdiff_plain;f=pkg%2FDESCRIPTION;fp=pkg%2FDESCRIPTION;h=77812ed25ed40223085631507ecc029f8411a83e;hp=8dd0fcbf429b617e8469218c023836e0e5fc2756;hb=1196a43d961a95abc18d3c8e777e9a4e8233e562;hpb=859c30ec72871f923da0498c14a94e67b0219875

diff --git a/pkg/DESCRIPTION b/pkg/DESCRIPTION
index 8dd0fcb..77812ed 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
@@ -19,10 +19,12 @@ 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