Package: dominanceanalysis 2.1.0.9000

dominanceanalysis: Dominance Analysis

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.

Authors:Claudio Bustos Navarrete [aut, cre, cph], Filipa Coutinho Soares [aut]

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dominanceanalysis.pdf |dominanceanalysis.html✨
dominanceanalysis/json (API)
NEWS

# Install 'dominanceanalysis' in R:
install.packages('dominanceanalysis', repos = c('https://clbustos.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/clbustos/dominanceanalysis/issues

Datasets:
  • tropicbird - Distribution of a tropical native bird species inhabiting a small oceanic island.

On CRAN:

6.08 score 24 stars 43 scripts 1.2k downloads 1 mentions 21 exports 28 dependencies

Last updated 9 months agofrom:e9442ae553. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-winNOTENov 19 2024
R-4.5-linuxNOTENov 19 2024
R-4.4-winNOTENov 19 2024
R-4.4-macNOTENov 19 2024
R-4.3-winNOTENov 19 2024
R-4.3-macNOTENov 19 2024

Exports:averageContributionbootAverageDominanceAnalysisbootDominanceAnalysiscontributionByLevelda.betareg.fitda.clm.fitda.dynlm.fitda.glm.fitda.lm.fitda.lmerMod.fitda.lmWithCov.fitda.mlmWithCov.fitdaSubmodelsdominanceAnalysisdominanceBriefingdominanceMatrixformulas.daSubmodelsgetFitslmmR2lmWithCovmlmWithCov

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

Exploring predictors' importance in binomial logistic regressions

Filipa Coutinho Soares

Rendered fromda-logistic-regression.Rmdusingknitr::rmarkdownon Nov 19 2024.

Last update: 2024-02-01
Started: 2019-01-12

Readme and manuals

Help Manual

Help pageTopics
Dominance analysis for general, generalized and mixed linear modelsdominanceanalysis-package dominanceanalysis
Retrieve average contribution of each predictor in a dominance analysis.averageContribution
Bootstrap Average Values for Dominance AnalysisbootAverageDominanceAnalysis
Bootstrap Analysis for Dominance AnalysisbootDominanceAnalysis
Retrieve average contribution by level for each predictorcontributionByLevel
Provides fit indices for betareg models.da.betareg.fit
Provides fit indices for ordinal regression models, based on the Nagelkerke (1991) method.da.clm.fit
Provides coefficient of determination for 'dynlm' models.da.dynlm.fit
Provides fit indices for GLM models.da.glm.fit
Provides coefficient of determination for 'lm' models.da.lm.fit
Provides fit indices for hierarchical linear models, based on Nakagawa et al.(2017) and Luo and Azen (2013).da.lmerMod.fit
Provides coefficient of determination for linear models, using covariance/correlation matrix.da.lmWithCov.fit
Provides coefficient of determination for multivariate models.da.mlmWithCov.fit
Dominance analysis for OLS (univariate and multivariate), GLM and LMM modelsdominanceAnalysis
Retrieve a briefing for complete, conditional and general dominancedominanceBriefing
Retrieve or calculates a dominance matrix for a given objectdominanceMatrix dominanceMatrix.data.frame dominanceMatrix.dominanceAnalysis dominanceMatrix.matrix
Retrieve fit matrix or matricesgetFits
Calculates several measures of fit for Linear Mixed Models based on Lou and Azen (2013) text. Models could be lmer or lme models.lmmR2
Uses covariance/correlation matrix for calculate OLSlmWithCov
Uses covariance/correlation matrix to calculate multivariate index of fitmlmWithCov
Plot for a 'dominanceAnalysis' objectplot.dominanceAnalysis
Replace terms by name using the terms definitionreplaceTermsInString
Distribution of a tropical native bird species inhabiting a small oceanic island.tropicbird
Provides fit indices for different regression models.using-fit-indices