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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. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the paper linked to via the URL below.

Type Size Name Uploaded Downloads Labels
conda 1.6 MB | osx-64/r-glmnet-2.0_2-r3.2.2_0.tar.bz2  9 years and 4 months ago 34 main
conda 1.6 MB | linux-64/r-glmnet-2.0_2-r3.2.2_0.tar.bz2  9 years and 4 months ago 96 main
conda 1.6 MB | linux-32/r-glmnet-2.0_2-r3.2.2_0.tar.bz2  9 years and 4 months ago 46 main
conda 1.6 MB | linux-32/r-glmnet-2.0_2-r3.2.1_0.tar.bz2  9 years and 5 months ago 38 main
conda 1.7 MB | win-32/r-glmnet-2.0_2-r3.1.3_0.tar.bz2  9 years and 5 months ago 32 main
conda 1.7 MB | win-64/r-glmnet-2.0_2-r3.1.3_0.tar.bz2  9 years and 5 months ago 48 main
conda 1.6 MB | linux-64/r-glmnet-2.0_2-r3.2.1_0.tar.bz2  9 years and 5 months ago 55 main
conda 1.6 MB | osx-64/r-glmnet-2.0_2-r3.2.1_0.tar.bz2  9 years and 5 months ago 33 main

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