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r / packages / r-multivarsel

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>.

Type Size Name Uploaded Downloads Labels
conda 479.6 kB | noarch/r-multivarsel-1.1.3-r43h142f84f_0.tar.bz2  1 year and 2 months ago 23 main
conda 478.9 kB | noarch/r-multivarsel-1.1.3-r42h142f84f_0.tar.bz2  2 years and 9 months ago 52 main
conda 478.6 kB | noarch/r-multivarsel-1.1.3-r36h6115d3f_0.tar.bz2  5 years and 22 days ago 119 main

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