FileSize | 1573324 |
MD5 | 3CFDBA7DE5B7FFE3D0AF9A08F4EE70CF |
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 | DE55CF707F0A1260DE162CED023858D16EAF3836 |
SHA-256 | ED61A077F6F95DB76C807A121AD722EC6A9D4268330DF4CFE59307B78371D414 |