Dominance Analysis

Dominance analysis is a method that allows to compare the relative importance of predictors in multiple regression models: ordinary least squares, generalized linear models and hierarchical linear models. The main principles and methods of dominance analysis are described in Budescu, D. V. (1993) and Azen, R., & Budescu, D. V. (2003) 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) , Azen, R., & Traxel, N. (2009) and Luo, W., & Azen, R. (2013) , respectively.


Reference manual

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1.0.0 by Claudio Bustos Navarrete, 19 days ago

Browse source code at

Authors: Claudio Bustos Navarrete [aut, cre] , Filipa Coutinho Soares [aut]

Documentation:   PDF Manual  

GPL-2 license

Imports methods, stats

Suggests lme4, boot, testthat, car, heplots, covr, knitr, rmarkdown, caTools, pscl

See at CRAN