sarahromanes/multiDA: High Dimensional Discriminant Analysis using Multiple Hypothesis Testing

a Discriminant Analysis (DA) algorithm capable for use in high dimensional datasets,providing feature selection through multiple hypothesis testing. This algorithm has minimal tuning parameters,is easy to use, and offers improvement in speed compared to existing DA classifiers.

Getting started

Package details

Maintainer
LicenseGPL-2
Version1.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("sarahromanes/multiDA")
sarahromanes/multiDA documentation built on July 14, 2019, 9:41 p.m.