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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: 0.5.5
Depends: R (≥ 3.5)
Imports: Rcpp (≥ 0.12.12), stats, Matrix
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (≥ 2.1.0), ggplot2, jsonlite
Published: 2023-11-25
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
CRAN checks: coda.base results

Documentation:

Reference manual: coda.base.pdf
Vignettes: Working with log-ratio coordinates in 'coda.base'
‘coda.base' features’ enumeration
Principal Balances

Downloads:

Package source: coda.base_0.5.5.tar.gz
Windows binaries: r-devel: coda.base_0.5.5.zip, r-release: coda.base_0.5.5.zip, r-oldrel: coda.base_0.5.5.zip
macOS binaries: r-release (arm64): coda.base_0.5.5.tgz, r-oldrel (arm64): coda.base_0.5.5.tgz, r-release (x86_64): coda.base_0.5.5.tgz, r-oldrel (x86_64): coda.base_0.5.5.tgz
Old sources: coda.base archive

Reverse dependencies:

Reverse suggests: scITD

Linking:

Please use the canonical form https://CRAN.R-project.org/package=coda.base 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.
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