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CompositionalHDDA

1.0Package record

High Dimensional Discriminant Analysis with Compositional Data

0packages depend
2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 2.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
3includes a package overview page
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
88%
Return-value docs
100%
Help pages citing references
100%

Downloads

2K
CRAN downloads in the past year
Rank #23,000 · ~5/day · ~167/mo
Daily download trend is not available in this view yet.
23030 days
56890 days
2K1 year
Compare downloads with other packages →
Also on63 r2u

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing CompositionalHDDA adds 89 packages (52 with compiled code, 68 MB of source tarballs). Heaviest: BH 14 MB, ggplot2 6.0 MB, bslib 5.6 MB.

Depends (1)
R >= 4.0
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 1.0 (2025)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 1.0Latest
    2025-07-11 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-07-11
Total releases
1 / 1 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.0
Download size
4.0 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CompositionalHDDA")
Tsagris, M. (2025). CompositionalHDDA: High Dimensional Discriminant Analysis with Compositional Data (Version 1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.CompositionalHDDA

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for CompositionalHDDA version 1.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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