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 [aut, cre], John Ramey [aut] (original author)
Maintainer:	Max Kuhn <mxkuhn at gmail.com>
License:	MIT + file LICENSE
URL:	https://github.com/topepo/sparsediscrim, https://topepo.github.io/sparsediscrim/
NeedsCompilation:	no
Language:	en-US
Materials:	README NEWS
CRAN checks:	sparsediscrim results

Documentation:

Reference manual:

sparsediscrim.pdf

Downloads:

Package source:	sparsediscrim_0.3.0.tar.gz
Windows binaries:	r-devel: sparsediscrim_0.3.0.zip, r-release: sparsediscrim_0.3.0.zip, r-oldrel: sparsediscrim_0.3.0.zip
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

Linking:

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