FileSize | 1563746 |
MD5 | B127F6A6D22CD04A357A843EA999F9CA |
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 | 2A50FE6A35D00171A966DBBAFCE42A368A614F51 |
SHA-256 | 169DC25484E5488BF8141657149A49DCB011A8EAE2EA569886DB528C90E31930 |