CoDaImpact: Interpreting CoDa Regression Models

Provides methods for interpreting CoDa (Compositional Data) regression models along the lines of "Pairwise share ratio interpretations of compositional regression models" (Dargel and Thomas-Agnan 2024) <doi:10.1016/j.csda.2024.107945>. The new methods include variation scenarios, elasticities, elasticity differences and share ratio elasticities. These tools are independent of log-ratio transformations and allow an interpretation in the original space of shares. 'CoDaImpact' is designed to be used with the 'compositions' package and its ecosystem.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: methods, compositions
Suggests: rmarkdown, knitr, sf, tinytest
Published: 2024-03-23
DOI: 10.32614/CRAN.package.CoDaImpact
Author: Lukas Dargel ORCID iD [aut, cre], Christine Thomas-Agnan ORCID iD [aut], Rodrigue Nasr [ctb], Sijia Pan [ctb], Iban Rendo Barreiro [ctb], Shuyao Li [ctb]
Maintainer: Lukas Dargel <lukas.dargel at>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: CoDaImpact citation info
Materials: README
CRAN checks: CoDaImpact results


Reference manual: CoDaImpact.pdf
Vignettes: Getting started with CoDaImpact
“Pairwise share-ratio interpretations of compositional regression models”


Package source: CoDaImpact_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): CoDaImpact_0.1.0.tgz, r-oldrel (arm64): CoDaImpact_0.1.0.tgz, r-release (x86_64): CoDaImpact_0.1.0.tgz, r-oldrel (x86_64): CoDaImpact_0.1.0.tgz


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