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