X-Git-Url: https://git.auder.net/?p=valse.git;a=blobdiff_plain;f=pkg%2FDESCRIPTION;h=77812ed25ed40223085631507ecc029f8411a83e;hp=65ed44808de065d5aac2bf6199862919d77912f0;hb=fb3557f39487d9631ffde30f20b70938d2a6ab0c;hpb=f32535f2bc8d50470aa87204bbd7971805dbc9ef

diff --git a/pkg/DESCRIPTION b/pkg/DESCRIPTION
index 65ed448..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
@@ -19,15 +19,16 @@ Depends:
     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: 6.0.1
+RoxygenNote: 7.0.2
 Collate:
     'plot_valse.R'
     'main.R'