regda: Regularised Discriminant Analysis

Regularised discriminant analysis functions. The classical regularised discriminant analysis proposed by Friedman in 1989, including cross-validation, of which the linear and quadratic discriminant analyses are special cases. Further, the regularised maximum likelihood linear discriminant analysis, including cross-validation. References: Friedman J.H. (1989): "Regularized Discriminant Analysis". Journal of the American Statistical Association 84(405): 165–175. <doi:10.2307/2289860>. Friedman J., Hastie T. and Tibshirani R. (2009). "The elements of statistical learning", 2nd edition. Springer, Berlin. <doi:10.1007/978-0-387-84858-7>. Tsagris M., Preston S. and Wood A.T.A. (2016). "Improved classification for compositional data using the alpha-transformation". Journal of Classification, 33(2): 243–261. <doi:10.1007/s00357-016-9207-5>.

Version:	1.0
Depends:	R (≥ 4.0)
Imports:	doParallel, foreach, parallel, Rfast, Rfast2, stats
Published:	2023-11-06
Author:	Michail Tsagris [aut, cre]
Maintainer:	Michail Tsagris <mtsagris at uoc.gr>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	regda results

Documentation:

Reference manual:

regda.pdf

Downloads:

Package source:	regda_1.0.tar.gz
Windows binaries:	r-devel: regda_1.0.zip, r-release: regda_1.0.zip, r-oldrel: regda_1.0.zip
macOS binaries:	r-release (arm64): regda_1.0.tgz, r-oldrel (arm64): regda_1.0.tgz, r-release (x86_64): regda_1.0.tgz, r-oldrel (x86_64): regda_1.0.tgz

Reverse dependencies:

Reverse imports:

Compositional

Linking:

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