FileSize | 1823076 |
MD5 | 8A4E0D11AF1BC692F658C346E9521829 |
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 | 4.1-2-1 |
SHA-1 | E17612D08955110E0616F76B2C032F2ACFFA5CF6 |
SHA-256 | 6EE53E0A5CE77D313BDEAC2A519D6482E65B327381C509CF2BE5B807AF132EB5 |