dominanceanalysis

Dominance analysis is a method that allows to compare the relative importance of predictors in multiple regression models: ordinary least squares, generalized linear models, hierarchical linear models, beta regression and dynamic linear models. The main principles and methods of dominance analysis are described in Budescu, D. V. (1993) doi:10.1037/0033-2909.114.3.542 and Azen, R., & Budescu, D. V. (2003) doi:10.1037/1082-989X.8.2.129 for ordinary least squares regression. Subsequently, the extensions for multivariate regression, logistic regression and hierarchical linear models were described in Azen, R., & Budescu, D. V. (2006) doi:10.3102/10769986031002157, Azen, R., & Traxel, N. (2009) doi:10.3102/1076998609332754 and Luo, W., & Azen, R. (2013) doi:10.3102/1076998612458319, respectively.