coda.base: A Basic Set of Functions for Compositional Data Analysis

A minimum set of functions to perform compositional data analysis using the log-ratio approach introduced by John Aitchison (1982). Main functions have been implemented in c++ for better performance.

Version: 1.0.3
Depends: R (≥ 3.5)
Imports: Rcpp (≥ 0.12.12), stats, Matrix
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (≥ 2.1.0), ggplot2, jsonlite
Published: 2025-07-02
DOI: 10.32614/CRAN.package.coda.base
Author: Marc Comas-Cufí ORCID iD [aut, cre]
Maintainer: Marc Comas-Cufí <mcomas at imae.udg.edu>
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: https://mcomas.net/coda.base/, https://github.com/mcomas/coda.base
NeedsCompilation: yes
Materials: README, NEWS
In views: CompositionalData
CRAN checks: coda.base results

Documentation:

Reference manual: coda.base.html , coda.base.pdf
Vignettes: Working with log-ratio coordinates in 'coda.base' (source, R code)
‘coda.base' features’ enumeration (source, R code)
Principal Balances (source, R code)

Downloads:

Package source: coda.base_1.0.3.tar.gz
Windows binaries: r-devel: coda.base_1.0.3.zip, r-release: coda.base_1.0.3.zip, r-oldrel: coda.base_1.0.3.zip
macOS binaries: r-release (arm64): coda.base_1.0.3.tgz, r-oldrel (arm64): coda.base_1.0.3.tgz, r-release (x86_64): coda.base_1.0.3.tgz, r-oldrel (x86_64): coda.base_1.0.3.tgz
Old sources: coda.base archive

Reverse dependencies:

Reverse depends: coda.plot
Reverse suggests: scITD

Linking:

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