Package: glmnet
Type: Package
Title: Lasso and elastic-net regularized generalized linear models
Version: 1.9-8
Date: 2014-5-23
Author: Jerome Friedman, Trevor Hastie, Noah Simon, Rob Tibshirani
Maintainer: Trevor Hastie <hastie@stanford.edu>
Depends: Matrix (>= 1.0-6), utils
Suggests: survival, foreach
Description: 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 multiresponse gaussian, and the grouped multinomial. The algorithm uses cyclical coordinate descent in a pathwise fashion, as described in the paper listed below. 
License: GPL-2
URL: http://www.jstatsoft.org/v33/i01/.
Packaged: 2014-05-24 03:21:52 UTC; hastie
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-05-24 22:49:45
