Package: dominanceanalysis 2.1.1

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]

dominanceanalysis_2.1.1.tar.gz
dominanceanalysis_2.1.1.zip(r-4.7-any)dominanceanalysis_2.1.1.zip(r-4.6-any)dominanceanalysis_2.1.1.zip(r-4.5-any)
dominanceanalysis_2.1.1.tgz(r-4.6-any)dominanceanalysis_2.1.1.tgz(r-4.5-any)
dominanceanalysis_2.1.1.tar.gz(r-4.7-any)dominanceanalysis_2.1.1.tar.gz(r-4.6-any)
dominanceanalysis_2.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
dominanceanalysis/json (API)

# Install 'dominanceanalysis' in R:

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

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

Datasets:

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

On CRAN:

6.29 score 26 stars 80 scripts 1.9k downloads 1 mentions 21 exports 17 dependencies

Last updated from:5e3635f3cb. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	254
source / vignettes	OK	190
linux-release	OK	157
macos-release	OK	225
macos-oldrel	OK	171
windows-devel	OK	130
windows-release	OK	124
windows-oldrel	OK	132
wasm-release	OK	118

Exports:averageContribution bootAverageDominanceAnalysis bootDominanceAnalysis contributionByLevel da.betareg.fit da.clm.fit da.dynlm.fit da.glm.fit da.lm.fit da.lmerMod.fit da.lmWithCov.fit da.mlmWithCov.fit daSubmodels dominanceAnalysis dominanceBriefing dominanceMatrix formulas.daSubmodels getFits lmmR2 lmWithCov mlmWithCov

Dependencies:cli cpp11 farver ggplot2 glue gtable isoband labeling lifecycle R6 RColorBrewer rlang S7 scales vctrs viridisLite withr

Exploring predictors' importance in binomial logistic regressions

Rendered fromda-logistic-regression.Rmdusingknitr::rmarkdown

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

Help page	Topics
Dominance analysis for general, generalized and mixed linear models	dominanceanalysis-package dominanceanalysis
Retrieve average contribution of each predictor in a dominance analysis.	averageContribution
Bootstrap Average Values for Dominance Analysis	bootAverageDominanceAnalysis
Bootstrap Analysis for Dominance Analysis	bootDominanceAnalysis
Retrieve average contribution by level for each predictor	contributionByLevel
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 models	dominanceAnalysis
Retrieve a briefing for complete, conditional and general dominance	dominanceBriefing
Retrieve or calculates a dominance matrix for a given object	dominanceMatrix dominanceMatrix.data.frame dominanceMatrix.dominanceAnalysis dominanceMatrix.matrix
Retrieve fit matrix or matrices	getFits
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 OLS	lmWithCov
Uses covariance/correlation matrix to calculate multivariate index of fit	mlmWithCov
Plot for a 'dominanceAnalysis' object	plot.dominanceAnalysis
Replace terms by name using the terms definition	replaceTermsInString
Distribution of a tropical native bird species inhabiting a small oceanic island.	tropicbird
Provides fit indices for different regression models.	using-fit-indices

Package: dominanceanalysis 2.1.1

dominanceanalysis: Dominance Analysis

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