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dominanceanalysis  

Dominance Analysis
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]
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 01 May. 2025.
Previous versions and publish date:
1.0.0 (2019-01-30 19:03), 1.2.0 (2019-09-22 06:30), 1.3.0 (2020-01-08 03:40), 2.0.0 (2020-12-12 16:20)
Other packages that cited dominanceanalysis R package
View dominanceanalysis citation profile
Other R packages that dominanceanalysis depends, imports, suggests or enhances
Complete documentation for dominanceanalysis
Functions, R codes and Examples using the dominanceanalysis R package
Full dominanceanalysis package functions and examples
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