CompositionalHDDA-package {CompositionalHDDA} | R Documentation |
High Dimensional Discriminant Analysis with Compositional Data
Description
High dimensional discriminant analysis (HDDA) for compositional data using the alpha-transformation is performed.
Details
Package: | CompositionalHDDA |
Type: | Package |
Version: | 1.0 |
Date: | 2025-07-08 |
License: | GPL-2 |
Maintainers
Michail Tsagris <mtsagris@uoc.gr>
Author(s)
Michail Tsagris mtsagris@uoc.gr.
References
Bouveyron C. Girard S. and Schmid C. (2007). High Dimensional Discriminant Analysis. Communications in Statistics: Theory and Methods, 36(14): 2607–2623.
Bouveyron C. Celeux G. and Girard S. (2010). Intrinsic dimension estimation by maximum likelihood in probabilistic PCA. Technical Report 440372, Universite Paris 1 Pantheon-Sorbonne.
Berge L. Bouveyron C. and Girard S. (2012). HDclassif: An R Package for Model-Based Clustering and Discriminant Analysis of High-Dimensional Data. Journal of Statistical Software, 46(6).
Tsagris M.T., Preston S. and Wood A.T.A. (2011). A data-based power transformation for compositional data. In Proceedings of the 4th Compositional Data Analysis Workshop, Girona, Spain. https://arxiv.org/pdf/1106.1451.pdf