easyCODA: Compositional Data Analysis in Practice

Univariate and multivariate methods for compositional data analysis, based on logratios. The package implements the approach in the book Compositional Data Analysis in Practice by Michael Greenacre (2018), where accent is given to simple pairwise logratios. Selection can be made of logratios that account for a maximum percentage of logratio variance. Various multivariate analyses of logratios are included in the package.

Version: 0.34.3
Depends: R (≥ 2.10), ca (≥ 0.7), vegan (≥ 2.3), ellipse (≥ 0.4.1)
Published: 2020-09-19
DOI: 10.32614/CRAN.package.easyCODA
Author: Michael Greenacre
Maintainer: Michael Greenacre <michael.greenacre at upf.edu>
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: https://github.com/michaelgreenacre/CODAinPractice/
NeedsCompilation: no
Citation: easyCODA citation info
CRAN checks: easyCODA results


Reference manual: easyCODA.pdf


Package source: easyCODA_0.34.3.tar.gz
Windows binaries: r-devel: easyCODA_0.34.3.zip, r-release: easyCODA_0.34.3.zip, r-oldrel: easyCODA_0.34.3.zip
macOS binaries: r-release (arm64): easyCODA_0.34.3.tgz, r-oldrel (arm64): easyCODA_0.34.3.tgz, r-release (x86_64): easyCODA_0.34.3.tgz, r-oldrel (x86_64): easyCODA_0.34.3.tgz
Old sources: easyCODA archive


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