X-Git-Url: https://git.auder.net/?a=blobdiff_plain;f=pkg%2FDESCRIPTION;h=b620b65ea52312f23c5ae9f7691deea37d695e9b;hb=04845e3300b5450629bf1a2c3344d2f9419e91a6;hp=0a1c30e7892eb0c0d62befe7115979832371017c;hpb=08f4604c778da8af7e26b52b1d433a6be82c3139;p=valse.git

diff --git a/pkg/DESCRIPTION b/pkg/DESCRIPTION
index 0a1c30e..b620b65 100644
--- a/pkg/DESCRIPTION
+++ b/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: valse
 Title: Variable Selection With Mixture Of Models
-Date: 2016-12-01
+Date: 2020-01-11
 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
@@ -11,24 +11,25 @@ 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>
+Maintainer: Benjamin Auder <benjamin.auder@universite-paris-saclay.fr>
 Depends:
-    R (>= 3.0.0)
+    R (>= 3.5.0)
 Imports:
     MASS,
     parallel
 Suggests:
     capushe,
+    methods,
     roxygen2,
-    testhat
+    testthat
 URL: http://git.auder.net/?p=valse.git
 License: MIT + file LICENSE
-RoxygenNote: 5.0.1
+RoxygenNote: 7.0.2
 Collate:
-    'plot.R'
+    'plot_valse.R'
     'main.R'
     'selectVariables.R'
     'constructionModelesLassoRank.R'
@@ -37,7 +38,6 @@ Collate:
     'initSmallEM.R'
     'EMGrank.R'
     'EMGLLF.R'
-    'EMGrank_R.R'
-    'EMGLLF_R.R'
     'generateXY.R'
     'A_NAMESPACE.R'
+    'util.R'