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

[ Source: r-cran-glmnet  ]

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	Version	Package Size	Installed Size	Files
riscv64	4.1-8-1+b1	1,856.2 kB	2,299.0 kB	[list of files]