FileSize | 1410876 |
MD5 | 5C7981BCAB1CCD928171B5DCDDE1DF96 |
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 | 2.0-16-2 |
SHA-1 | 339E33B3B64D4C30D67735C72EE9637D4BD38491 |
SHA-256 | C4A48DF861962D6F12123B9750C2A91A3A098206C7EF5090E7B7EA0E06C18F2B |