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 [aut, cre], Christine Thomas-Agnan [aut], Rodrigue Nasr [ctb], Sijia Pan [ctb], Iban Rendo Barreiro [ctb], Shuyao Li [ctb] Maintainer: Lukas Dargel <lukas.dargel at mailbox.org> BugReports: https://github.com/LukeCe/CoDaImpact/issues License: GPL (≥ 3) URL: https://github.com/LukeCe/CoDaImpact, https://lukece.github.io/CoDaImpact/ NeedsCompilation: no Citation: CoDaImpact citation info Materials: README CRAN checks: CoDaImpact results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=CoDaImpact to link to this page.
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