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CompositionalHDDA  

High Dimensional Discriminant Analysis with Compositional Data
View on CRAN: Click here


Download and install CompositionalHDDA package within the R console
Install from CRAN:
install.packages("CompositionalHDDA")

Install from Github:
library("remotes")
install_github("cran/CompositionalHDDA")

Install by package version:
library("remotes")
install_version("CompositionalHDDA", "1.0")



Attach the package and use:
library("CompositionalHDDA")
Maintained by
Michail Tsagris
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-11
Latest Update: 2025-07-11
Description:
High dimensional discriminant analysiswith 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.
How to cite:
Michail Tsagris (2025). CompositionalHDDA: High Dimensional Discriminant Analysis with Compositional Data. R package version 1.0, https://cran.r-project.org/web/packages/CompositionalHDDA. Accessed 10 Mar. 2026.
Previous versions and publish date:
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Complete documentation for CompositionalHDDA
Functions, R codes and Examples using the CompositionalHDDA R package
Full CompositionalHDDA package functions and examples
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