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 + 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.
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