FileSize | 1777292 |
MD5 | D6DAF84F324F3265D49A2842E01A8A7B |
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 |
SHA-1 | BDF70762F0EB0B6C297DBFECF273FB21C5FB1FD4 |
SHA-256 | AA5B861CD50CEFC3BE62FFE585569BCB7D74C0C5A3AE1AFB62C966F7233DE1C6 |