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: | 1.1.0 |
| Depends: | R (≥ 1.8.0),MASS,calibrate,Correlplot |
| Suggests: | knitr,rmarkdown |
| Published: | 2025-01-09 |
| 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 |
| In views: | CompositionalData |
| CRAN checks: | ToolsForCoDa results |
| Reference manual: | ToolsForCoDa.html ,ToolsForCoDa.pdf |
| Vignettes: | Multivariate tools for compositional data analysis: the ToolsForCoDA package (source,R code) |
| Package source: | ToolsForCoDa_1.1.0.tar.gz |
| Windows binaries: | r-devel:ToolsForCoDa_1.1.0.zip, r-release:ToolsForCoDa_1.1.0.zip, r-oldrel:ToolsForCoDa_1.1.0.zip |
| macOS binaries: | r-release (arm64):ToolsForCoDa_1.1.0.tgz, r-oldrel (arm64):ToolsForCoDa_1.1.0.tgz, r-release (x86_64):ToolsForCoDa_1.1.0.tgz, r-oldrel (x86_64):ToolsForCoDa_1.1.0.tgz |
| Old sources: | ToolsForCoDa archive |
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