print.summary.dominanceAnalysis

a <code><a rd-options="" href="/link/summary.dominanceAnalysis?package=dominanceanalysis&version=2.0.0" data-mini-rdoc="dominanceanalysis::summary.dominanceAnalysis">summary.dominanceAnalysis</a></code> object

Number of decimal places to round results

round.digits

further arguments passed to print method

Print a summary.dominanceAnalysis object

internal

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.

Claudio Bustos Navarrete

dominanceanalysis

Dominance Analysis

Filipa Coutinho Soares

print.summary.dominanceAnalysis function

a <code><a rd-options='' href='summary.dominanceAnalysis'>summary.dominanceAnalysis</a></code> object

print.summary.dominanceAnalysis: Print a summary.dominanceAnalysis object

Description

Usage

Arguments