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>.

Version: 1.0.2
Depends: R (≥ 1.8.0), MASS, HardyWeinberg, calibrate
Published: 2017-11-13
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

Downloads:

Reference manual: ToolsForCoDa.pdf
Vignettes: Multivariate tools for compositional data analysis: the \pkg{ToolsForCoDA} package
Package source: ToolsForCoDa_1.0.2.tar.gz
Windows binaries: r-prerel: ToolsForCoDa_1.0.2.zip, r-release: ToolsForCoDa_1.0.2.zip, r-oldrel: ToolsForCoDa_1.0.2.zip
OS X binaries: r-prerel: ToolsForCoDa_1.0.2.tgz, r-release: ToolsForCoDa_1.0.2.tgz

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