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Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression and the Cox model. Two recent additions are the multiple-response Gaussian, and the grouped multinomial regression. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the papers listed in the URL below.

copied from cf-staging / r-glmnet
Type Size Name Uploaded Downloads Labels
conda 1.8 MB | linux-aarch64/r-glmnet-4.1_1-r41h6fc6016_0.tar.bz2  3 years and 6 months ago 81 main
conda 1.8 MB | win-64/r-glmnet-4.1_1-r41he816bda_0.tar.bz2  3 years and 6 months ago 1084 main
conda 1.8 MB | linux-ppc64le/r-glmnet-4.1_1-r41ha9c7abe_0.tar.bz2  3 years and 6 months ago 55 main
conda 1.8 MB | osx-64/r-glmnet-4.1_1-r40h749f5a1_0.tar.bz2  3 years and 6 months ago 239 main
conda 1.8 MB | osx-64/r-glmnet-4.1_1-r41h749f5a1_0.tar.bz2  3 years and 6 months ago 338 main
conda 1.8 MB | linux-64/r-glmnet-4.1_1-r41h859d828_0.tar.bz2  3 years and 6 months ago 3225 main
conda 1.8 MB | linux-ppc64le/r-glmnet-4.1_1-r36ha9c7abe_0.tar.bz2  3 years and 9 months ago 86 main
conda 1.8 MB | win-64/r-glmnet-4.1_1-r36he816bda_0.tar.bz2  3 years and 9 months ago 2787 main
conda 1.8 MB | linux-ppc64le/r-glmnet-4.1_1-r40ha9c7abe_0.tar.bz2  3 years and 9 months ago 85 main
conda 1.8 MB | win-64/r-glmnet-4.1_1-r40he816bda_0.tar.bz2  3 years and 9 months ago 1965 main
conda 1.8 MB | linux-aarch64/r-glmnet-4.1_1-r40h6fc6016_0.tar.bz2  3 years and 9 months ago 112 main
conda 1.8 MB | linux-aarch64/r-glmnet-4.1_1-r36h6fc6016_0.tar.bz2  3 years and 9 months ago 160 main
conda 1.8 MB | osx-64/r-glmnet-4.1_1-r36h59bb11e_0.tar.bz2  3 years and 9 months ago 1415 main
conda 1.8 MB | osx-64/r-glmnet-4.1_1-r40h59bb11e_0.tar.bz2  3 years and 9 months ago 1109 main
conda 1.8 MB | linux-64/r-glmnet-4.1_1-r40h859d828_0.tar.bz2  3 years and 9 months ago 9809 main
conda 1.8 MB | linux-64/r-glmnet-4.1_1-r36h859d828_0.tar.bz2  3 years and 9 months ago 13411 main

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