FileSize | 1415504 |
MD5 | FCD47DF7C0B9CA8F733C2C7B8901C2D2 |
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 R Packages Maintainers <r-pkg-team@alioth-lists.debian.net> |
PackageName | r-cran-glmnet |
PackageSection | gnu-r |
PackageVersion | 2.0-16-2 |
SHA-1 | 68120B5717E7BAD852CBE44523B3BE4649E08702 |
SHA-256 | C7232CAE604E3C4C3811992F6E0B248724B08156DBAE15AF1EE952926AD05658 |