FileSize | 1809332 |
MD5 | 07793E4A27D9ED2FF09BEFD737C9D207 |
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 | 6B706090536E321533ED8FF3957B4C575E0B4347 |
SHA-256 | 99C4E5F57E03A1C8736D254998F9FC53E287849526D0FE625B24B69EE93BA2AC |