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: |
2.0.0 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
methods, stats |
| Suggests: |
lme4, boot, testthat, car, covr, knitr, rmarkdown, pscl, dynlm, ggplot2, reshape2, betareg, performance |
| Published: |
2020-12-12 |
| Author: |
Claudio Bustos Navarrete
 [aut, cre],
Filipa Coutinho Soares
[aut] |
| Maintainer: |
Claudio Bustos Navarrete <clbustos at gmail.com> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
dominanceanalysis results |
Documentation:
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