Package: sodavis
Type: Package
Title: SODA: Main and Interaction Effects Selection for Logistic
        Regression, Quadratic Discriminant and General Index Models
Version: 1.2
Depends: R (>= 3.0.0), nnet, MASS, mvtnorm
Date: 2018-05-12
Author: Yang Li, Jun S. Liu
Maintainer: Yang Li <yangli.stat@gmail.com>
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 logistic regression and quadratic
        discriminant analysis. We also provide an extension, S-SODA,
        for dealing with the variable selection problem for
        semi-parametric models with continuous responses.
License: GPL-2
NeedsCompilation: no
Packaged: 2026-07-15 07:02:02 UTC; root
Repository: https://yangli88.r-universe.dev
Date/Publication: 2018-05-13 20:24:03 UTC
RemoteUrl: https://github.com/cran/sodavis
RemoteRef: HEAD
RemoteSha: ca871473e9284c0c7926a1f9064fe12366d36a63