SODA: Main and Interaction Effects Selection for Logistic Regression, Quadratic Discriminant and General Index Models R package sodavis version 1.2 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. Software Depends: R (>= 3.0.0), nnet, MASS, mvtnorm Yang Li <yangli.stat@gmail.com> Comprehensive R Archive Network (CRAN) Yang Li, Jun S. Liu GPL-2 2018-05-13 application/tgz https://CRAN.R-project.org/package=sodavis doi:10.32614/CRAN.package.sodavis