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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 |
DOI: | 10.32614/CRAN.package.biClassify |
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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.