FileSize | 1566690 |
MD5 | 6B89D5849E41A7A7FCAF949DD2AC5999 |
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 | 79AFFC077EA752B7F1B411A9BDEBDB7486135454 |
SHA-256 | 99C4200BEC499A63637C181731F2044F6A3D0A35F770E39C244780281FA78A2C |