Sparse and Regularized Discriminant Analysis R package sparsediscrim version 0.3.0 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>. Software Depends: R (>= 2.10) Imports: bdsmatrix, corpcor, dplyr, ggplot2, mvtnorm, rlang Suggests: testthat, MASS, covr, modeldata, spelling Max Kuhn <mxkuhn@gmail.com> Comprehensive R Archive Network (CRAN) Max Kuhn [aut, cre] (ORCID: <https://orcid.org/0000-0003-2402-136X>), John Ramey [aut] (original author) MIT + file LICENSE (https://CRAN.R-project.org/package=sparsediscrim/LICENSE) 2021-07-01 application/tgz https://CRAN.R-project.org/package=sparsediscrim doi:10.32614/CRAN.package.sparsediscrim en-US