Package: sparsenet
Type: Package
Title: Fit sparse linear regression models via nonconvex optimization
Version: 1.1
Date: 2013-01-06
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, abind
License: GPL-2
URL:
        http://www.stanford.edu/~hastie/Papers/Sparsenet/jasa_MFH_final.pdf
Packaged: 2013-01-07 01:11:25 UTC; hastie
Repository: CRAN
Date/Publication: 2013-01-07 08:25:53
