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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 |
| Reference manual: | CompositionalHDDA.pdf |
| 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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These binaries (installable software) and packages are in development.
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