FileSize | 1560496 |
MD5 | 49E54FBCCC9E416B3A765468FC8C2FCF |
PackageDescription | 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. |
PackageMaintainer | Debian Science Team <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | r-cran-glmnet |
PackageSection | gnu-r |
PackageVersion | 2.0-5-1 |
SHA-1 | 6A3B8ABB60F740F63CD86B0A2A002759FFD5612C |
SHA-256 | 04203B968767E1DE11DF7CB19289CB3110E7D32B887AA047DDC3752F947C76D1 |