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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.
Browse package contents
Package details |
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| Author | Jan Graffelman <jan.graffelman@upc.edu> |
| Maintainer | Jan Graffelman <jan.graffelman@upc.edu> |
| License | GPL (>= 2) |
| Version | 1.0.6 |
| URL | www.R-project.org http://www-eio.upc.edu/~jan/ |
| Package repository | View on CRAN |
| Installation |
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