DESCRIPTION

Package: dominanceanalysis
Title: Dominance Analysis
Date: 2020-01-07
Description: 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.
Authors@R: c(
  person("Claudio", "Bustos Navarrete", 
         email = "clbustos@gmail.com", role = c("aut", "cre"),
         comment = c(ORCID = "0000-0003-3478-9858")),
  person("Filipa", "Coutinho Soares", 
         email = "filipa.mco.soares@gmail.com", role = c("aut"),
         comment = c(ORCID = "0000-0002-7579-2538")))
Version: 1.3.0
Depends:
    R (>= 3.5.0)
License: GPL-2
LazyData: true
Imports: methods, stats
Suggests: lme4, boot, testthat, car, covr, knitr,rmarkdown,pscl, dynlm, ggplot2, reshape2, betareg
RoxygenNote: 7.0.2
VignetteBuilder: knitr