FileSize | 1572724 |
MD5 | 3B2B7AF3464C868CB02B24ED6FF50CBE |
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 | 6BADA695A1CC8225D91069023183F2DB6C133371 |
SHA-256 | D32C4E1955DF7ECBF6106A6D80B46D33BF9FAB3FC781241A4CCA800FB1C49ECC |