About Anaconda Help Download Anaconda

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 1.5 MB | linux-ppc64le/r-glmnet-3.0_2-r40h2c7be84_1.tar.bz2  4 years and 7 months ago 62 main
conda 1.5 MB | linux-ppc64le/r-glmnet-3.0_2-r36h2c7be84_1.tar.bz2  4 years and 7 months ago 1197 main
conda 1.4 MB | win-64/r-glmnet-3.0_2-r36h17ddedb_1.tar.bz2  4 years and 7 months ago 1103 main
conda 1.4 MB | win-64/r-glmnet-3.0_2-r40h17ddedb_1.tar.bz2  4 years and 7 months ago 1101 main
conda 1.4 MB | linux-aarch64/r-glmnet-3.0_2-r40h9bbef5b_1.tar.bz2  4 years and 7 months ago 90 main
conda 1.4 MB | osx-64/r-glmnet-3.0_2-r40h384270c_1.tar.bz2  4 years and 7 months ago 372 main
conda 1.4 MB | osx-64/r-glmnet-3.0_2-r36h384270c_1.tar.bz2  4 years and 7 months ago 387 main
conda 1.4 MB | linux-64/r-glmnet-3.0_2-r36h9bbef5b_1.tar.bz2  4 years and 7 months ago 8034 main
conda 1.4 MB | linux-64/r-glmnet-3.0_2-r40h9bbef5b_1.tar.bz2  4 years and 7 months ago 3070 main
conda 1.4 MB | linux-aarch64/r-glmnet-3.0_2-r36h9bbef5b_1.tar.bz2  4 years and 7 months ago 92 main
conda 1.5 MB | linux-ppc64le/r-glmnet-3.0_2-r36h2c7be84_0.tar.bz2  4 years and 7 months ago 79 main
conda 1.4 MB | linux-aarch64/r-glmnet-3.0_2-r36h9bbef5b_0.tar.bz2  4 years and 7 months ago 91 main
conda 1.4 MB | win-64/r-glmnet-3.0_2-r36h17ddedb_0.tar.bz2  4 years and 11 months ago 1816 main cf202003
conda 1.4 MB | osx-64/r-glmnet-3.0_2-r36h384270c_0.tar.bz2  4 years and 11 months ago 810 main cf202003
conda 1.4 MB | linux-64/r-glmnet-3.0_2-r36h9bbef5b_0.tar.bz2  4 years and 11 months ago 6265 main cf202003

© 2024 Anaconda, Inc. All Rights Reserved. (v4.0.6) Legal | Privacy Policy