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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.
Citation | CoDaImpact citation info |
github.com/LukeCe/CoDaImpact | |
lukece.github.io/CoDaImpact/ | |
Bug report | File report |
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