High Dimensional Discriminant Analysis with Compositional Data R package CompositionalHDDA version 1.0 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. Software Depends: R (>= 4.0) Imports: Compositional, HDclassif, Rfast, stats Suggests: Rfast2 Michail Tsagris <mtsagris@uoc.gr> Comprehensive R Archive Network (CRAN) Michail Tsagris [aut, cre] GPL (>= 2) 2025-07-11 application/tgz https://CRAN.R-project.org/package=CompositionalHDDA doi:10.32614/CRAN.package.CompositionalHDDA