sparsediscrim: Sparse and Regularized Discriminant Analysis (original) (raw)
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 |
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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 |
License: | MIT + file |
URL: | https://github.com/topepo/sparsediscrim,https://topepo.github.io/sparsediscrim/ |
NeedsCompilation: | no |
Language: | en-US |
Materials: | README NEWS |
CRAN checks: | sparsediscrim results |
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