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dominanceanalysis
View on CRAN: Click
here
Download and install dominanceanalysis package within the R console
Install from CRAN:
install.packages("dominanceanalysis")
Install from Github:
library("remotes")
install_github("cran/dominanceanalysis")
Install by package version:
library("remotes")
install_version("dominanceanalysis", "2.1.0")
Attach the package and use:
library("dominanceanalysis")
Maintained by
Claudio Bustos Navarrete
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-01-30
Latest Update: 2024-02-05
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) 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.
How to cite:
Claudio Bustos Navarrete (2019). dominanceanalysis: Dominance Analysis. R package version 2.1.0, https://cran.r-project.org/web/packages/dominanceanalysis. Accessed 23 Nov. 2024.
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