Package: glinternet
Type: Package
Title: Learning Interactions via Hierarchical Group-Lasso
        Regularization
Version: 1.0.0
Date: 2015-03-27
Author: Michael Lim, Trevor Hastie
Maintainer: Michael Lim <michael626@gmail.com>
Depends:
Suggests: ggplot2
Description: Group-Lasso INTERaction-NET. Fits linear pairwise-interaction models that satisfy strong hierarchy: if an interaction coefficient is estimated to be nonzero, then its two associated main effects also have nonzero estimated coefficients. Accommodates categorical variables (factors) with arbitrary numbers of levels, continuous variables, and combinations thereof. Implements the machinery described in the paper "Learning interactions via hierarchical group-lasso regularization" (JCGS 2014).
License: GPL-2
URL: http://web.stanford.edu/~hastie/Papers/glinternet_jcgs.pdf
Packaged: 2015-03-29 00:40:07 UTC; michael
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-03-30 07:36:32
Built: R 3.1.3; x86_64-apple-darwin10.8.0; 2015-03-30 08:54:45 UTC; unix
Archs: glinternet.so.dSYM
