Variable Selection in a Multivariate Linear Model

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) .


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install.packages("MultiVarSel")

1.1.2 by Marie Perrot-Dockès, 2 months ago


Browse source code at https://github.com/cran/MultiVarSel


Authors: Marie Perrot-Dockès, Céline Lévy-Leduc, Julien Chiquet


Documentation:   PDF Manual  


GPL (>= 2) license


Depends on glmnet, Matrix, parallel, tidyverse

Suggests R.rsp


See at CRAN