dominanceanalysis (1.3.0)

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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, hierarchical linear models, beta regression and dynamic 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.

Maintainer: Claudio Bustos Navarrete
Author(s): Claudio Bustos Navarrete [aut, cre] (<>), Filipa Coutinho Soares [aut] (<>)

License: GPL-2

Uses: betareg, boot, car, dynlm, ggplot2, lme4, pscl, testthat, reshape2, knitr, rmarkdown, covr

Released about 1 month ago.

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