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[ 源代码: r-cran-glmnet  ]

软件包:r-cran-glmnet(3.0-1-1)

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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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硬件架构 软件包大小 安装后大小 文件
amd64 1,391.1 kB1,826.0 kB [文件列表]
arm64 1,377.9 kB1,765.0 kB [文件列表]
armel 1,385.2 kB1,829.0 kB [文件列表]
armhf 1,371.2 kB1,709.0 kB [文件列表]
i386 1,384.8 kB1,809.0 kB [文件列表]
mips64el 1,379.3 kB1,781.0 kB [文件列表]
mipsel 1,382.6 kB1,792.0 kB [文件列表]
ppc64el 1,395.3 kB1,829.0 kB [文件列表]
s390x 1,380.7 kB1,805.0 kB [文件列表]