CompositionalHDDA: High Dimensional Discriminant Analysis with Compositional Data

High dimensional discriminant analysis with compositional data is performed. The compositional data are first transformed using the alpha-transformation of Tsagris M., Preston S. and Wood A.T.A. (2011) <doi:10.48550/arXiv.1106.1451>, and then the High Dimensional Discriminant Analysis (HDDA) algorithm of Bouveyron C. Girard S. and Schmid C. (2007) <doi:10.1080/03610920701271095> is applied.

Version:	1.0
Depends:	R (≥ 4.0)
Imports:	Compositional, HDclassif, Rfast, stats
Suggests:	Rfast2
Published:	2025-07-11
DOI:	10.32614/CRAN.package.CompositionalHDDA
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:	CompositionalHDDA results

Documentation:

Reference manual:

CompositionalHDDA.pdf

Downloads:

Package source:	CompositionalHDDA_1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: CompositionalHDDA_1.0.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

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