ToolsForCoDa
1.1.0Multivariate Tools for Compositional Data Analysis
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 96%
- Return-value docs
- 100%
- References docs
- 46%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
5 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.1.0Latest
- 1.0.92024-09-01 · diff ↗
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.0.62021-09-20 · diff ↗
- unarchivedReturned to CRAN2021-09-20
- archivedRemoved from CRAN2021-07-17requires archived package 'robCompositions'
- RR 4.1.0 released · 2021-05-18
- 1.0.52020-06-18 · diff ↗
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 1.0.22017-11-13
Show 1 earlier events
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-11-13
- Total releases
- 5 / 9 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 1.8.0
- Bundled data
- 9.2 KB / 4 files
- Download size
- 92 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("ToolsForCoDa")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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