FileSize | 1571342 |
MD5 | AE2F30DA386F7A7261D94DCAC066A0C9 |
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 | B0AA6988674CB6DB150CBE5AEFEA0F06EF22F96A |
SHA-256 | 4424FA114A7CFCF51ADE5B69FA2C7B18D445AA8E9BA0814A514BB77439FB21EE |