sodavis: SODA: Main and Interaction Effects Selection for Discriminant Analysis and Logistic Regression

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.

Install the latest version of this package by entering the following in R:
install.packages("sodavis")
AuthorYang Li, Jun S. Liu
Date of publication2015-11-16 08:20:20
MaintainerYang Li <yli01@fas.harvard.edu>
LicenseGPL-2
Version0.1

View on CRAN

Files

NAMESPACE
data
data/mich_lung.RData
data/datalist
R
R/pure_soda.R
MD5
DESCRIPTION
man
man/soda.Rd man/soda_trace_CV.Rd man/umich_lung.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.