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) <doi:10.48550/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>.

Version: 0.3.0
Depends: R (≥ 2.10)
Imports: bdsmatrix, corpcor, dplyr, ggplot2, mvtnorm, rlang
Suggests: testthat, MASS, covr, modeldata, spelling
Published: 2021-07-01
DOI: 10.32614/CRAN.package.sparsediscrim
Author: Max Kuhn ORCID iD [aut, cre], John Ramey [aut] (original author)
Maintainer: Max Kuhn <mxkuhn at>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: sparsediscrim results


Reference manual: sparsediscrim.pdf


Package source: sparsediscrim_0.3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): sparsediscrim_0.3.0.tgz, r-oldrel (arm64): sparsediscrim_0.3.0.tgz, r-release (x86_64): sparsediscrim_0.3.0.tgz, r-oldrel (x86_64): sparsediscrim_0.3.0.tgz
Old sources: sparsediscrim archive

Reverse dependencies:

Reverse suggests: discrim, tidyAML


Please use the canonical form to link to this page.