Refresh package, suppress what we won't do right now. Focus on doc + debug

[valse.git] / pkg / DESCRIPTION

diff --git a/pkg/DESCRIPTION b/pkg/DESCRIPTION
index 72723c0..65ed448 100644 (file)
--- a/pkg/DESCRIPTION
+++ b/pkg/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: valse
 Title: Variable Selection With Mixture Of Models
 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
 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


@@ -11,12 +11,12 @@ 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).
     (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]
     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:
 Depends:

-    R (>= 3.0.0)
+    R (>= 3.5.0)

 Imports:
     MASS,
     parallel
 Imports:
     MASS,
     parallel