FileSize | 1577852 |
MD5 | 521E25BADFAC5BE24E54CCF1189A5BE2 |
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 | E730C89B15F19CEA80BA5DBC34AEFF060AAFC239 |
SHA-256 | 81273244099AF043D34410509E42535C19635DFFBFAC9E5C43D1C6760026F8AD |