sparsenet: Fit sparse linear regression models via nonconvex optimization

Sparsenet uses the MC+ penalty of Zhang. It computes the regularization surface over both the family parameter and the tuning parameter by coordinate descent.

Version: 1.1
Depends: glmnet, shape, abind
Published: 2013-01-07
Author: Rahul Mazumder, Trevor Hastie, Jerome Friedman
Maintainer: Trevor Hastie <hastie at stanford.edu>
License: GPL-2
URL: http://www.stanford.edu/~hastie/Papers/Sparsenet/jasa_MFH_final.pdf
NeedsCompilation: yes
CRAN checks: sparsenet results

Downloads:

Package source: sparsenet_1.1.tar.gz
MacOS X binary: sparsenet_1.1.tgz
Windows binary: sparsenet_1.1.zip
Reference manual: sparsenet.pdf
Old sources: sparsenet archive