Dominance Analysis
Retrieve average contribution of each predictor in a dominance analysi...
Bootstrap Average Values for Dominance Analysis
Bootstrap Analysis for Dominance Analysis
Center the variables on groups mean.
Check if the given object have the dominanceAnalysis class
Retrieve average contribution by level for each predictor
Provides fit indices for betareg models.
Provides fit indices for ordinal regression models, based on the Nagel...
Provides coefficient of determination for dynlm models.
Provides fit indices for GLM models.
Provides coefficient of determination for lm models.
Provides fit indices for hierarchical linear models, based on Nakagawa...
Provides coefficient of determination for linear models, using covaria...
Provides coefficient of determination for multivariate models.
Calculates the average contribution by level for a daRawResult object
Matrix of Complete dominance of one variable over another Uses daRawRe...
Matrix of Conditional dominance of one variable over another.
Matrix of General dominance of one variable over another Uses daRawRes...
Retrieve raw results for dominance analysis.
Returns all the submodels derived from full models.
Dominance analysis for general, generalized and mixed linear models
Dominance analysis for OLS (univariate and multivariate), GLM and LMM ...
Retrieve a briefing for complete, conditional and general dominance
Retrieve or calculates a dominance matrix for a given object
Return a list with formulas for a given daSubmodels object
Returns data from different models
Return the index of row equals to r on m
Retrieve fit matrix or matrices
Calculates several measures of fit for Linear Mixed Models based on Lo...
Uses covariance/correlation matrix for calculate OLS
Uses covariance/correlation matrix to calculate multivariate index of ...
Plot for a dominanceAnalysis object
Print the results of a dominanceAnalysis object
Print method for lmmR2 object, that retrieves the summary.
Print a summary.bootDominanceAnalysis object
Print a summary.dominanceAnalysis object
Print method for lmmR2 models summary
Dominance of each factor over others. Dominance requires that a variab...
Replace terms by name using the terms definition
Summary for bootAverageDominanceAnalysis.
Summary for bootDominanceAnalysis.
Summary for a dominanceAnalysis object
Summary for lmmR2 models
Provides fit indices for different regression models.
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.