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>. A function for log-ratio principal component analysis with condition number computations has been added to the package.

Version: 1.0.6
Depends: R (≥ 1.8.0), MASS, calibrate, HardyWeinberg
Published: 2021-09-20
Author: Jan Graffelman
Maintainer: Jan Graffelman <jan.graffelman at upc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: 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 \pkg{ToolsForCoDA} package

Downloads:

Package source: ToolsForCoDa_1.0.6.tar.gz
Windows binaries: r-devel: ToolsForCoDa_1.0.6.zip, r-release: ToolsForCoDa_1.0.6.zip, r-oldrel: ToolsForCoDa_1.0.6.zip
macOS binaries: r-release (arm64): ToolsForCoDa_1.0.6.tgz, r-release (x86_64): ToolsForCoDa_1.0.6.tgz, r-oldrel: ToolsForCoDa_1.0.6.tgz
Old sources: ToolsForCoDa archive

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