Package: gamlr
Title: Gamma Lasso Regression
Version: 1.12
Author: Matt Taddy <taddy@chicagobooth.edu>  
Maintainer: Matt Taddy <taddy@chicagobooth.edu>
Depends: R (>= 2.15), Matrix
Suggests: parallel
Description: This package implements the gamma lasso algorithm for regularization paths corresponding to a range of non-convex cost functions between L0 and L1 norms.  As much as possible, usage is analogous to that for the glmnet package (which does the same thing for penalization between L1 and L2 norms).  
License: GPL-3
URL: http://github.com/mataddy/gamlr,
        http://faculty.chicagobooth.edu/matt.taddy/index.html
References: Taddy (2013), The Gamma Lasso.
        http://arxiv.org/abs/1308.5623
Packaged: 2014-09-15 06:23:08 UTC; mtaddy
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-09-16 02:08:04
