X-Git-Url: https://git.auder.net/?p=valse.git;a=blobdiff_plain;f=pkg%2FDESCRIPTION;h=32ed6a873a059d6c7e6cfd81dad1f1e613cb5212;hp=d3841a7602025ae85d685201c95dcc1df639d2c1;hb=a3105972158da4773b33d41e1ead65a942c15f80;hpb=3f3ed99c0d4a42cf7ba87144cb2c6967c9c2fdab

diff --git a/pkg/DESCRIPTION b/pkg/DESCRIPTION
index d3841a7..32ed6a8 100644
--- a/pkg/DESCRIPTION
+++ b/pkg/DESCRIPTION
@@ -2,15 +2,15 @@ Package: valse
 Title: Variable Selection With Mixture Of Models
 Date: 2016-12-01
 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 responses through a variable
-    selection procedure based on the Lasso estimator. A low-rank constraint could be added,
-    computed for the Lasso-Rank procedure.
-    A collection of models is constructed, varying the level of sparsity and the number of
-    clusters, and a model is selected using a model selection criterion (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).
+Description: Two methods are implemented to cluster data with finite mixture
+    regression models. Those procedures deal with high-dimensional covariates and
+    responses through a variable selection procedure based on the Lasso estimator.
+    A low-rank constraint could be added, computed for the Lasso-Rank procedure.
+    A collection of models is constructed, varying the level of sparsity and the
+    number of clusters, and a model is selected using a model selection criterion
+    (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],
     Emilie Devijver <Emilie.Devijver@kuleuven.be> [aut],
     Benjamin Goehry <Benjamin.Goehry@math.u-psud.fr> [aut]
@@ -19,13 +19,23 @@ Depends:
     R (>= 3.0.0)
 Imports:
     MASS,
-    methods
+    parallel
 Suggests:
-    parallel,
-    testhat,
-    devtools,
-    rmarkdown
+    capushe,
+    roxygen2,
+    testhat
 URL: http://git.auder.net/?p=valse.git
 License: MIT + file LICENSE
-VignetteBuilder: knitr
-RoxygenNote: 6.0.1
+RoxygenNote: 5.0.1
+Collate:
+    'plot.R'
+    'main.R'
+    'selectVariables.R'
+    'constructionModelesLassoRank.R'
+    'constructionModelesLassoMLE.R'
+    'computeGridLambda.R'
+    'initSmallEM.R'
+    'EMGrank.R'
+    'EMGLLF.R'
+    'generateXY.R'
+    'A_NAMESPACE.R'