Package: sparsediscrim
Title: Sparse and Regularized Discriminant Analysis
Version: 0.2.5.9000
Date: 2017-10-14
Author: John A. Ramey <johnramey@gmail.com>
Maintainer: Max Kuhn <mxkuhn@gmail.com>
Description: 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>.
Imports: bdsmatrix, corpcor, dplyr, ggplot2, mvtnorm, rlang
Suggests: testthat, MASS, covr, modeldata
License: MIT + file LICENSE
URL: https://github.com/topepo/sparsediscrim
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.1.9001
Depends: R (>= 2.10)
Encoding: UTF-8
Repository: https://topepo.r-universe.dev
Date/Publication: 2021-06-28 00:27:34 UTC
RemoteUrl: https://github.com/topepo/sparsediscrim
RemoteRef: HEAD
RemoteSha: 60198a54e0ced0afa3909121eea55321dd04c56f
NeedsCompilation: no
Packaged: 2026-06-09 05:49:39 UTC; root