Package: MultiVarSel
Type: Package
Title: Variable Selection in a Multivariate Linear Model
Version: 1.1.3
Author: Marie Perrot-Dockès, Céline Lévy-Leduc, Julien Chiquet
Maintainer: Marie Perrot-Dockès <marie.perrocks@gmail.com>
Description: It performs variable selection in a multivariate linear model by estimating the covariance matrix 
 of the residuals then use it to remove the dependence that may exist among the responses and eventually performs variable selection by using the Lasso criterion.
 The method is described in the paper Perrot-Dockès et al. (2017) <arXiv:1704.00076>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: glmnet, Matrix (>= 1.2-11), parallel
Suggests: R.rsp
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2019-03-21 09:50:51 UTC; perrot-dockes
Repository: CRAN
Date/Publication: 2019-03-21 10:23:33 UTC
Built: R 4.1.3; ; 2023-04-17 16:31:38 UTC; windows
