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[ Source: r-cran-glmnet  ]

Package: r-cran-glmnet (4.1-8-1 and others)

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Lasso and Elastic-Net Regularized Generalized Linear Models

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 Introduction to Glmnet.

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Download for all available architectures
Architecture Version Package Size Installed Size Files
amd64 4.1-8-1 1,880.6 kB2,484.0 kB [list of files]
arm64 4.1-8-1+b1 1,870.7 kB2,492.0 kB [list of files]
armel 4.1-8-1 1,849.0 kB2,410.0 kB [list of files]
armhf 4.1-8-1 1,835.0 kB2,250.0 kB [list of files]
i386 4.1-8-1 1,885.7 kB2,522.0 kB [list of files]
mips64el 4.1-8-1 1,834.0 kB2,437.0 kB [list of files]
ppc64el 4.1-8-1 1,888.6 kB2,612.0 kB [list of files]
riscv64 4.1-8-1+b1 1,856.2 kB2,299.0 kB [list of files]
s390x 4.1-8-1 1,883.1 kB2,499.0 kB [list of files]