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: | 1.0.5 |
| Depends: | R (≥ 1.8.0), MASS, calibrate, robCompositions |
| Published: | 2020-06-18 |
| 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 |
| Reference manual: | ToolsForCoDa.pdf |
| Vignettes: |
Multivariate tools for compositional data analysis: the \pkg{ToolsForCoDA} package |
| Package source: | ToolsForCoDa_1.0.5.tar.gz |
| Windows binaries: | r-devel: ToolsForCoDa_1.0.5.zip, r-release: ToolsForCoDa_1.0.5.zip, r-oldrel: ToolsForCoDa_1.0.5.zip |
| macOS binaries: | r-release: ToolsForCoDa_1.0.5.tgz, r-oldrel: ToolsForCoDa_1.0.5.tgz |
| Old sources: | ToolsForCoDa archive |
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