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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 |
| 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:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=sparsediscrim
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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