FileSize | 1820660 |
MD5 | D925D09EE1BD36FD292ADE96FE596D20 |
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 | 51EFA388BA795A1AB6ED154216A4606490486AA4 |
SHA-256 | 33D35E6255A7E916CEDA20D3C6669931120645A766B5C612DB0FFC503CB954D5 |