FileSize | 1414532 |
MD5 | FF0F1683D05757C2F6EABB5BD721249D |
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 | 32A6D329D3F28389C5352CD2A8B83E09019BB014 |
SHA-256 | E9DDE392D256597D946D71AC5B27D4BCCD3F0449FFFD59F9E5D5F7975017E0EE |