Package: sparsenet
Type: Package
Title: Fit sparse linear regression models via nonconvex optimization
Version: 1.2
Date: 2014-03-11
Author: Rahul Mazumder, Trevor Hastie, Jerome Friedman
Maintainer: Trevor Hastie <hastie@stanford.edu>
Description: Sparsenet uses the MC+ penalty of Zhang. It computes the regularization surface over both the family parameter and the tuning parameter by coordinate descent.
Depends: glmnet, shape
License: GPL-2
URL:
        http://www.stanford.edu/~hastie/Papers/Sparsenet/jasa_MFH_final.pdf
Packaged: 2014-03-12 02:15:22 UTC; hastie
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-03-12 07:25:03
Built: R 3.1.0; x86_64-apple-darwin10.8.0; 2014-03-27 18:05:58 UTC; unix
Archs: sparsenet.so.dSYM
