Other packages > Find by keyword >

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]
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 12 Nov. 2024.
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
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

Relectoral  
Electoral Analysis
Functions to obtain an important number of electoral indicators described in the package, which can ...
Download / Learn more Package Citations See dependency  
ggpolypath  
Polygons with Holes for the Grammar of Graphics
Tools for working with polygons with holes in 'ggplot2', with a new 'geom' for drawing a 'polypath' ...
Download / Learn more Package Citations See dependency  
snap  
Simple Neural Application
A simple wrapper to easily design vanilla deep neural networks using 'Tensorflow'/'Keras' backend fo ...
Download / Learn more Package Citations See dependency  
emIRT  
EM Algorithms for Estimating Item Response Theory Models
Various Expectation-Maximization (EM) algorithms are implemented for item response theory (IRT) mod ...
Download / Learn more Package Citations See dependency  
visualize  
Graph Probability Distributions with User Supplied Parameters and Statistics
Graphs the pdf or pmf and highlights what area or probability is present in user defined locations. ...
Download / Learn more Package Citations See dependency  
mmrm  
Mixed Models for Repeated Measures
Mixed models for repeated measures (MMRM) are a popular choice for analyzing longitudinal continuou ...
Download / Learn more Package Citations See dependency  

23,171

R Packages

199,134

Dependencies

62,827

Author Associations

23,089

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA