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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 boogaart.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.stat.boogaart.de/compositions/
NeedsCompilation: yes
Materials: ChangeLog
In views: ChemPhys, Distributions
CRAN checks: compositions results

Documentation:

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

Downloads:

Package source: compositions_2.0-8.tar.gz
Windows binaries: r-devel: compositions_2.0-8.zip, r-release: compositions_2.0-8.zip, r-oldrel: compositions_2.0-8.zip
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, parafac4microbiome, powerPLS, QFASA, scone, simmr, Toothnroll, Unico, vdar
Reverse suggests: aqp, emmeans, multimedia

Linking:

Please use the canonical form https://CRAN.R-project.org/package=compositions to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.