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[ 源代码: r-cran-glmnet  ]

软件包:r-cran-glmnet(2.0-16-2)

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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 1,390.9 kB1,858.0 kB [文件列表]
arm64 1,376.7 kB1,794.0 kB [文件列表]
armhf 1,369.7 kB1,741.0 kB [文件列表]
i386 1,381.4 kB1,837.0 kB [文件列表]