ramhiser/sparsediscrim: Sparse and Regularized Discriminant Analysis

A collection of sparse and regularized discriminant analysis methods intended for small-sample, high-dimensional data sets. The package features the High-Dimensional Regularized Discriminant Analysis classifier from Ramey et al. (2017) <arXiv:1602.01182>. Other classifiers include those from Dudoit et al. (2002) <doi:10.1198/016214502753479248>, Pang et al. (2009) <doi:10.1111/j.1541-0420.2009.01200.x>, and Tong et al. (2012) <doi:10.1093/bioinformatics/btr690>.

Getting started

Package details

AuthorJohn A. Ramey <johnramey@gmail.com>
MaintainerJohn A. Ramey <johnramey@gmail.com>
LicenseMIT + file LICENSE
Version0.2.5
URL https://github.com/ramhiser/sparsediscrim http://ramhiser.com
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("ramhiser/sparsediscrim")
ramhiser/sparsediscrim documentation built on May 26, 2019, 10:14 p.m.