FileSize | 1402608 |
MD5 | BFFBE1620A399E08C97E7C7F543CAAAC |
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 | E6F30C23E5FBF2B45D9F2BDE55FA5EA8FE225B96 |
SHA-256 | F25A3DB790FC2529BA2B59BF0E7C34055167D6D5AB0C7205A3CBA986842E9848 |