Dominance Analysis R package dominanceanalysis version 2.1.1 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. Software Depends: R (>= 4.0.0) Imports: methods, stats, ggplot2 Suggests: lme4, boot, testthat, car, covr, knitr,rmarkdown,pscl, dynlm, reshape2, betareg, performance Claudio Bustos Navarrete <clbustos@gmail.com> Comprehensive R Archive Network (CRAN) Claudio Bustos Navarrete [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-3478-9858>), Filipa Coutinho Soares [aut] (ORCID: <https://orcid.org/0000-0002-7579-2538>) GPL-2 2025-10-01 application/tgz https://CRAN.R-project.org/package=dominanceanalysis doi:10.32614/CRAN.package.dominanceanalysis