FileSize | 1823580 |
MD5 | 8684180F8575B7FEFF0EE164F74F5131 |
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 | CA6BC6F93824739BAC6F6AC92D43D4774F1C943F |
SHA-256 | 100E4891B64CA7035967B0DB768909D2D3132326E4A55B23DA1E3CB68FD0A434 |