Package: sparsediscrim
Title: Sparse and Regularized Discriminant Analysis
Version: 0.3.0
Authors@R: c(
      person(given = "Max",
             family = "Kuhn",
             role = c("aut", "cre"),
             email = "mxkuhn@gmail.com",
             comment = c(ORCID = "0000-0003-2402-136X")),
      person(given = "John",
             family = "Ramey",
             role = c("aut"),
             email = "johnramey@gmail.com",
             comment = "original author")
      )
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, spelling
License: MIT + file LICENSE
URL: https://github.com/topepo/sparsediscrim,
        https://topepo.github.io/sparsediscrim/
RoxygenNote: 7.1.1.9001
Depends: R (>= 2.10)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2021-06-30 16:01:38 UTC; max
Author: Max Kuhn [aut, cre] (<https://orcid.org/0000-0003-2402-136X>),
  John Ramey [aut] (original author)
Maintainer: Max Kuhn <mxkuhn@gmail.com>
Repository: CRAN
Date/Publication: 2021-07-01 07:50:02 UTC
Built: R 4.0.2; ; 2021-07-02 11:18:17 UTC; unix
