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) <http://www.jstor.org/stable/2345821>. Main functions have been implemented in c++ for better performance.

Version:	0.5.2
Depends:	R (≥ 3.5)
Imports:	Rcpp (≥ 0.12.12), stats, Matrix, jsonlite
LinkingTo:	Rcpp, RcppArmadillo (≥ 0.11.2)
Suggests:	knitr, rmarkdown, testthat (≥ 2.1.0), ggplot2
Published:	2022-07-18
Author:	Marc Comas-Cufí [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_0.5.2.tar.gz
Windows binaries:	r-devel: coda.base_0.5.2.zip, r-release: coda.base_0.5.2.zip, r-oldrel: coda.base_0.5.2.zip
macOS binaries:	r-release (arm64): coda.base_0.5.2.tgz, r-oldrel (arm64): coda.base_0.5.2.tgz, r-release (x86_64): coda.base_0.5.2.tgz, r-oldrel (x86_64): coda.base_0.5.2.tgz
Old sources:	coda.base archive

Reverse dependencies:

Reverse suggests:

scITD

Linking:

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