ToolsForCoDa: Multivariate Tools for Compositional Data Analysis

Provides functions for multivariate analysis with compositional data. Includes a function for doing compositional canonical correlation analysis. This analysis requires two data matrices of compositions, which can be adequately transformed and used as entries in a specialized program for canonical correlation analysis, that is able to deal with singular covariance matrices. The methodology is described in Graffelman et al. (2017) <doi:10.1101/144584>. Functions for log-ratio principal component analysis with condition number computations and log-ratio discriminant analysis have been added to the package.

Version:	1.0.9
Depends:	R (≥ 1.8.0), MASS, calibrate, Correlplot
Suggests:	knitr, rmarkdown
Published:	2024-09-01
DOI:	10.32614/CRAN.package.ToolsForCoDa
Author:	Jan Graffelman [aut, cre]
Maintainer:	Jan Graffelman <jan.graffelman at upc.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://www.r-project.org, http://www-eio.upc.edu/~jan/
NeedsCompilation:	no
Citation:	ToolsForCoDa citation info
CRAN checks:	ToolsForCoDa results

Documentation:

Reference manual:	ToolsForCoDa.pdf
Vignettes:	Multivariate tools for compositional data analysis: the ToolsForCoDA package (source, R code)

Downloads:

Package source:	ToolsForCoDa_1.0.9.tar.gz
Windows binaries:	r-devel: ToolsForCoDa_1.0.9.zip, r-release: ToolsForCoDa_1.0.9.zip, r-oldrel: ToolsForCoDa_1.0.9.zip
macOS binaries:	r-release (arm64): ToolsForCoDa_1.0.9.tgz, r-oldrel (arm64): ToolsForCoDa_1.0.9.tgz, r-release (x86_64): ToolsForCoDa_1.0.9.tgz, r-oldrel (x86_64): ToolsForCoDa_1.0.9.tgz
Old sources:	ToolsForCoDa archive

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