Package: sodavis
Type: Package
Title: SODA: Main and Interaction Effects Selection for Discriminant
        Analysis and Logistic Regression
Version: 0.1
Depends: R (>= 3.0.0), nnet, MASS
Date: 2015-11-07
Author: Yang Li, Jun S. Liu
Maintainer: Yang Li <yli01@fas.harvard.edu>
Description: Variable and interaction selection are essential to classification in high-dimensional setting. In this package, we provide the implementation of SODA procedure, which is a forward-backward algorithm that selects both main and interaction effects under quadratic discriminant analysis and logistic regression model.
License: GPL-2
NeedsCompilation: no
Packaged: 2015-11-15 21:51:57 UTC; yli01
Repository: CRAN
Date/Publication: 2015-11-16 08:20:20
