Interpreting CoDa Regression Models
Internal: check for valid computational direction arguments
Internal: check for valid name of Xvar
Create a linear path in the simplex by defining a direction and a step...
A sequence connecting two points in a simplex
CoDaImpact: Interpreting CoDa Regression Models
Predictions, fitted values, residuals, and coefficients in CoDa models
Confidence Intervals for CoDa Models
Predictions, fitted values, residuals, and coefficients in CoDa models
Computation of elasticities in CoDa regression models
Estimating CoDa regression models
Format numbers to percentages This code copied from stats:::format.per...
Predictions, fitted values, residuals, and coefficients in CoDa models
Objects exported from other packages
Predictions, fitted values, residuals, and coefficients in CoDa models
Compute share ratio elasticities for CoDa models
Converting Linear Models to CoDa models
Summarize the transformations in a CoDa model (internal)
Scenarios for variation in CoDa regressions models
Effects of infinitesimal changes in CoDa 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.
Useful links