Update to conform to CRAN rules (unfinished)

[valse.git] / pkg / DESCRIPTION

diff --git a/pkg/DESCRIPTION b/pkg/DESCRIPTION
index 13fee37..ed3eb2f 100644 (file)
--- a/pkg/DESCRIPTION
+++ b/pkg/DESCRIPTION
@@ -8,9 +8,10 @@ Description: Two methods are implemented to cluster data with finite mixture
     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).
+    (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 (2016) <arXiv:1409.1333v2>,
+    published in Advances in Data Analysis and Clustering.
 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> [ctb]