FileSize | 1815844 |
MD5 | F889720F655546A5488712542B6E91C8 |
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 | A32CA3CB6820F38D76720435066EC753D510C6CA |
SHA-256 | E957A5530FD468EF41B3657857769C056710FA3B0EDA34D8F2419DEE175F72F0 |