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 + fileLICENSE |
| 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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