FileSize | 1566658 |
MD5 | 29FD6BEA34DC5DF4E73BC0D4A15B96C2 |
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 | F2E822977DBCB21BF5F8E2A66899C8057168496B |
SHA-256 | 924BE32B3D19EE1144394E4F4705C401039BB5413935E64D889B17F471C70A17 |