FileSize | 1573554 |
MD5 | 7A3291F17EC2B9EB21C413759AA8D01E |
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 | 08747630510E29644B3770496DAB9DE9E7B4B88A |
SHA-256 | 361831713A49595EDB1DFCC91500952A2B7B60937609654DE093FE86F4985CF4 |