glmnet

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 regression. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the paper linked to via the URL below.

Author Jerome Friedman [aut, cre], Trevor Hastie [aut, cre], Rob Tibshirani [aut, cre], Noah Simon [aut, ctb], Balasubramanian Narasimhan [aut, ctb], Junyang Qian [ctb]
Maintainer Trevor Hastie

Details

Depends
Matrix , utils , foreach
Imports
methods
Suggests
survival , knitr , lars
System Requirements
License GPL-2
URL http://www.jstatsoft.org/v33/i01/.

Package Downloads

Package source glmnet_2.0-18.tar.gz
Windows binary glmnet_2.0-16.zip
MacOS X 10.5 (Mavericks) binary Not Available
Linux binary Not Available