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>.
| 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 |
| 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:
Downloads:
Reverse dependencies:
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