compositions: Compositional Data Analysis

Provides functions for the consistent analysis of compositional data (e.g. portions of substances) and positive numbers (e.g. concentrations) in the way proposed by J. Aitchison and V. Pawlowsky-Glahn.

Version: 2.0-8
Depends: R (≥ 3.6)
Imports: methods, utils, grDevices, stats, tensorA, robustbase, bayesm, graphics, MASS
Suggests: rgl (≥ 1.0.1), combinat, energy, knitr, rmarkdown
Published: 2024-01-31
DOI: 10.32614/CRAN.package.compositions
Author: K. Gerald van den Boogaart, Raimon Tolosana-Delgado, Matevz Bren
Maintainer: K. Gerald van den Boogaart <support at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: ChangeLog
In views: ChemPhys, Distributions
CRAN checks: compositions results


Reference manual: compositions.pdf
Vignettes: 'compositions' v2.0: R classes for compositional analysis
Using Animal


Package source: compositions_2.0-8.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): compositions_2.0-8.tgz, r-oldrel (arm64): compositions_2.0-8.tgz, r-release (x86_64): compositions_2.0-8.tgz, r-oldrel (x86_64): compositions_2.0-8.tgz
Old sources: compositions archive

Reverse dependencies:

Reverse depends: itraxR
Reverse imports: Arothron, CiteFuse, CoDaImpact, codaredistlm, coseq, countprop, ggtern, gmGeostats, HybridMicrobiomes, metamicrobiomeR, microbiome, MRPC, multilevelcoda, omicplotR, powerPLS, QFASA, scone, simmr, Toothnroll, Unico, vdar
Reverse suggests: aqp


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