FileSize | 1841008 |
MD5 | BF96AFC583B92E7920387F033CC07223 |
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 | F6363A1D5FA04FA00BA7C826A3DF6D4E8D99C499 |
SHA-256 | 8EAEEFAEF6186D245A3ED29268276CFFB2347AC4095E7AAEB1AAC21215740AE7 |