FileSize | 1785236 |
MD5 | 6B87943DC40F7CD31FD78A5EA535CEFC |
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 |
SHA-1 | E6632E19957265A1A266A9E37C6EBECA6C1E6E6F |
SHA-256 | E68D2ACFB1F7AE2CC473521474D4282D731F9C1C5BB40D7519F4FCF0E380816B |