FileSize | 1776492 |
MD5 | 1B874660D62FA4AB1A06AF99CD72550F |
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 | B411FC29B5881D8A275D1DBD16B58EA4C6BAAEC5 |
SHA-256 | BB6B59CEC048CC42CB26D0E81AA32492F687D3ECDECAAE784BAF1E4ABAA39B16 |