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

Versions across snapshots

VersionRepositoryFileSize
1.1.0 rolling linux/jammy R-4.5 ToolsForCoDa_1.1.0.tar.gz 142.4 KiB
1.1.0 rolling linux/noble R-4.5 ToolsForCoDa_1.1.0.tar.gz 142.3 KiB
1.1.0 rolling source/ R- ToolsForCoDa_1.1.0.tar.gz 93.6 KiB
1.1.0 latest linux/jammy R-4.5 ToolsForCoDa_1.1.0.tar.gz 142.4 KiB
1.1.0 latest linux/noble R-4.5 ToolsForCoDa_1.1.0.tar.gz 142.3 KiB
1.1.0 latest source/ R- ToolsForCoDa_1.1.0.tar.gz 93.6 KiB
1.1.0 2026-04-26 source/ R- ToolsForCoDa_1.1.0.tar.gz 93.6 KiB
1.1.0 2026-04-23 source/ R- ToolsForCoDa_1.1.0.tar.gz 93.6 KiB
1.1.0 2026-04-09 windows/windows R-4.5 ToolsForCoDa_1.1.0.zip 144.8 KiB
1.1.0 2025-04-20 source/ R- ToolsForCoDa_1.1.0.tar.gz 93.6 KiB

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