ToolsForCoDa

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.

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