Implementation of sparse linear discriminant analysis, which is a supervised classification method for multiple classes. Various novel optimization approaches to this problem are implemented including alternating direction method of multipliers ('ADMM'), proximal gradient (PG) and accelerated proximal gradient ('APG') (See Atkins 'et al'. <doi:10.48550/arXiv.1705.07194>). Functions for performing cross validation are also supplied along with basic prediction and plotting functions. Sparse zero variance discriminant analysis ('SZVD') is also included in the package (See Ames and Hong, <doi:10.48550/arXiv.1401.5492>). See the 'github' wiki for a more extended description.
Version: 1.1.3 Depends: R (≥ 3.2) Imports: MASS (≥ 7.3.45), ggplot2 (≥ 2.1.0), grid (≥ 3.2.2), gridExtra (≥ 2.2.1) Published: 2024-03-06 DOI: 10.32614/CRAN.package.accSDA Author: Gudmundur Einarsson [aut, cre, trl], Line Clemmensen [aut, ths], Brendan Ames [aut], Summer Atkins [aut] Maintainer: Gudmundur Einarsson <gumeo140688 at gmail.com> BugReports: https://github.com/gumeo/accSDA/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/gumeo/accSDA/wiki NeedsCompilation: no Citation: accSDA citation info Materials: README, NEWS CRAN checks: accSDA results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=accSDA to link to this page.
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