domir-package: Dominance Analysis Methods

In domir: Dominance Analysis Methods

Dominance Analysis Methods

Description

Dominance analysis methods intended for predictive modeling functions.

Details

This package implements several methods to compute dominance analysis (Azen & Budescu, 2004; Budescu, 1993). Dominance analysis is a relative importance analysis approach that derives conceptually from Shapley values (e.g., Grömping, 200; Lipovsky & Conklin, 2001) in that it ascribes 'values' from some function to inputs (known as 'names' in the package) to that function.

When applied to predictive models, the method compares components of a fit metric ascribed to each 'name' (i.e., independent variable, predictor, feature, or parameter estimate) to each other 'name' in a pairwise fashion to determine a hierarchy of dominance or relative importance.

Author(s)

Joseph Luchman [e-mail]

References

• Azen, R., & Budescu, D. V. (2003). The dominance analysis approach for comparing predictors in multiple regression. Psychological Methods, 8(2), 129-148. doi:10.1037/1082-989X.8.2.129

• Budescu, D. V. (1993). Dominance analysis: A new approach to the problem of relative importance of predictors in multiple regression. Psychological Bulletin, 114(3), 542-551. doi:10.1037/0033-2909.114.3.542

• Grömping, U. (2007). Estimators of relative importance in linear regression based on variance decomposition. The American Statistician, 61(2), 139-147. doi:10.1198/000313007X188252

• Lipovetsky, S, & and Conklin, M. (2001). Analysis of regression in game theory approach. Applied Stochastic Models in Business and Industry, 17(4), 319-330. doi:10.1002/asmb.446

domir documentation built on April 19, 2026, 5:07 p.m.