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[ Source: r-cran-glmnet  ]

Package: r-cran-glmnet (4.1-6-1)

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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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Architecture Package Size Installed Size Files
amd64 1,879.0 kB2,479.0 kB [list of files]
arm64 1,843.3 kB2,419.0 kB [list of files]
armel 1,845.1 kB2,417.0 kB [list of files]
armhf 1,832.3 kB2,289.0 kB [list of files]
i386 1,861.4 kB2,421.0 kB [list of files]
mips64el 1,834.6 kB2,437.0 kB [list of files]
mipsel 1,839.0 kB2,430.0 kB [list of files]
ppc64el 1,884.3 kB2,611.0 kB [list of files]
s390x 1,838.8 kB2,410.0 kB [list of files]