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.
Package details |
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Author | Jan Graffelman [aut, cre] |
Maintainer | Jan Graffelman <jan.graffelman@upc.edu> |
License | GPL (>= 2) |
Version | 1.0.9 |
URL | https://www.r-project.org http://www-eio.upc.edu/~jan/ |
Package repository | View on CRAN |
Installation |
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