Package: sparsenet
Type: Package
Title: Fit sparse linear regression models via nonconvex optimization
Version: 1.0
Date: 2012-01-22
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: 2012-02-20 07:12:52 UTC; hastie
Repository: CRAN
Date/Publication: 2012-03-03 14:22:49
