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.
|Depends:||R (≥ 3.0.0), nnet, MASS|
|Author:||Yang Li, Jun S. Liu|
|Maintainer:||Yang Li <yli01 at fas.harvard.edu>|
|CRAN checks:||sodavis results|
|Windows binaries:||r-devel: sodavis_0.1.zip, r-release: sodavis_0.1.zip, r-oldrel: sodavis_0.1.zip|
|OS X Mavericks binaries:||r-release: sodavis_0.1.tgz, r-oldrel: sodavis_0.1.tgz|
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