danno11/SMVCIR: Sliced Mean Variance Covariance Inverse Regression

Sliced Mean Variance Covariance Inverse Regression (SMVCIR) is a form of discriminant analysis that takes into account not only location differences among classes, but also variance and covariance differences between classes. It may be useful both as a classification technique as well as a graphical technique when discriminant coordinates are plotted, and clear separation between classes can be easily seen.

Getting started

Package details

AuthorJoseph McKean, Dan McGuire
MaintainerDan McGuire <daniel.j.mcguire@wmich.edu>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
danno11/SMVCIR documentation built on May 14, 2019, 6:06 p.m.