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

AuthorMax Kuhn [aut, cre] (<https://orcid.org/0000-0003-2402-136X>), John Ramey [aut] (original author)
MaintainerMax Kuhn <mxkuhn@gmail.com>
LicenseMIT + file LICENSE
Version0.3.0
URL https://github.com/topepo/sparsediscrim https://topepo.github.io/sparsediscrim/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("sparsediscrim")

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sparsediscrim documentation built on July 1, 2021, 9:07 a.m.