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dominanceanalysis: 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) <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.

Version: 2.1.0
Depends: R (≥ 4.0.0)
Imports: methods, stats, ggplot2
Suggests: lme4, boot, testthat, car, covr, knitr, rmarkdown, pscl, dynlm, reshape2, betareg, performance
Published: 2024-02-05
DOI: 10.32614/CRAN.package.dominanceanalysis
Author: Claudio Bustos Navarrete ORCID iD [aut, cre, cph], Filipa Coutinho Soares ORCID iD [aut]
Maintainer: Claudio Bustos Navarrete <clbustos at gmail.com>
License: GPL-2
NeedsCompilation: no
Materials: README NEWS
CRAN checks: dominanceanalysis results

Documentation:

Reference manual: dominanceanalysis.pdf
Vignettes: Exploring predictors' importance in binomial logistic regressions

Downloads:

Package source: dominanceanalysis_2.1.0.tar.gz
Windows binaries: r-devel: dominanceanalysis_2.1.0.zip, r-release: dominanceanalysis_2.1.0.zip, r-oldrel: dominanceanalysis_2.1.0.zip
macOS binaries: r-release (arm64): dominanceanalysis_2.1.0.tgz, r-oldrel (arm64): dominanceanalysis_2.1.0.tgz, r-release (x86_64): dominanceanalysis_2.1.0.tgz, r-oldrel (x86_64): dominanceanalysis_2.1.0.tgz
Old sources: dominanceanalysis archive

Reverse dependencies:

Reverse suggests: domir

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dominanceanalysis to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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