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Implements methods for sample size reduction within Linear and Quadratic Discriminant Analysis in Lapanowski and Gaynanova (2020) <doi:10.48550/arXiv.2005.03858>. Also includes methods for non-linear discriminant analysis with simultaneous sparse feature selection in Lapanowski and Gaynanova (2019) PMLR 89:1704-1713.
| Version: | 1.3 |
| Depends: | R (≥ 2.10) |
| Imports: | Rcpp (≥ 1.0.1), Matrix, stats, fields, MASS, datasets, mvtnorm, expm, DAAG |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2021-12-06 |
| Author: | Alexander F. Lapanowski [aut, cre], Irina Gaynanova [aut] |
| Maintainer: | Alexander F. Lapanowski <aflapan at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | biClassify results |
| Reference manual: | biClassify.pdf |
| Vignettes: |
biClassify |
| Package source: | biClassify_1.3.tar.gz |
| Windows binaries: | r-devel: biClassify_1.3.zip, r-release: biClassify_1.3.zip, r-oldrel: biClassify_1.3.zip |
| macOS binaries: | r-release (arm64): biClassify_1.3.tgz, r-oldrel (arm64): biClassify_1.3.tgz, r-release (x86_64): biClassify_1.3.tgz, r-oldrel (x86_64): biClassify_1.3.tgz |
| Old sources: | biClassify archive |
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