ToolsForCoDa1.1.0 package

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>. Functions for log-ratio principal component analysis with condition number computations and log-ratio discriminant analysis have been added to the package.

  • Maintainer: Jan Graffelman
  • License: GPL (>= 2)
  • Last published: 2025-01-09