FileSize | 1782212 |
MD5 | C05E459AD1EDED67CCD956813A503529 |
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 | E765A9A49734B2F8DD57DE91B7358214C6772B20 |
SHA-256 | 7996C19E83A43A818DD0D6489B12BC243D358F82D3AED92451B4392DC2E17B7D |