Robust Bayesian Meta-Analyses

Documentation for package ‘RoBMA’ version 4.1.1

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A B C D E F G H I J K L M N P Q R S T U V W Z

RoBMA: Robust Bayesian Meta-Analysis

-- A --

add_loo	Add LOO-PSIS to brma Objects
add_loo.brma	Add LOO-PSIS to brma Objects
add_marglik	Add Marginal Likelihood to brma Objects
add_marglik.brma	Add Marginal Likelihood to brma Objects
add_selection_sensitivity_diagnostics	Diagnose Selection Conditioning Sensitivity
add_waic	Add WAIC to brma Objects
add_waic.brma	Add WAIC to brma Objects
AIC.brma	Unsupported Information Criteria for brma Objects
allocation_ref	Random-effect prior constructors
Anderson2010	23 experimental studies from Anderson et al. (2010) that meet the best practice criteria
Andrews2021	39 study rows on household chaos and child executive functions from a meta-analysis by Andrews et al. (2021)
as.data.frame.brma	Convert brma Summaries to a Data Frame
as.data.frame.brma_samples	Convert brma_samples Results to Data Frames
as.data.frame.brma_samples_list	Convert brma_samples Results to Data Frames
as.data.frame.covratio.brma	Convert COVRATIO Results to a Data Frame
as.data.frame.dfbetas.brma	Convert DFBETAS Results to a Data Frame
as.data.frame.infl.brma	Convert Influence Results to a Data Frame
as.data.frame.marginal_means.brma	Convert Marginal Means to a Data Frame
as.data.frame.summary.brma	Convert brma Summaries to a Data Frame
as.data.frame.summary.brma_samples	Convert brma_samples Results to Data Frames
as.data.frame.summary.marginal_means.brma	Convert Marginal Means to a Data Frame
as.data.frame.summary.zplot_brma	Convert Z-Plot Summaries to a Data Frame
as.data.frame.summary_heterogeneity.brma	Convert Heterogeneity Summaries to Data Frames
as.data.frame.summary_heterogeneity.brma_list	Convert Heterogeneity Summaries to Data Frames
as.data.frame.summary_models.RoBMA	Convert Model-Weight Summaries to a Data Frame
as.data.frame.vif.brma	Convert VIF Results to a Data Frame
as.data.frame.zplot_brma	Convert Z-Plot Summaries to a Data Frame
as.matrix.brma_samples	Convert brma_samples to Matrix
as_draws	Convert brma Objects to posterior Draws Formats
as_draws.brma	Convert brma Objects to posterior Draws Formats
as_draws.brma_samples	Convert brma_samples to posterior Draws Formats
as_draws.default	Convert brma Objects to posterior Draws Formats
as_draws_array	Convert brma Objects to posterior Draws Formats
as_draws_array.brma	Convert brma Objects to posterior Draws Formats
as_draws_array.brma_samples	Convert brma_samples to posterior Draws Formats
as_draws_array.default	Convert brma Objects to posterior Draws Formats
as_draws_df	Convert brma Objects to posterior Draws Formats
as_draws_df.brma	Convert brma Objects to posterior Draws Formats
as_draws_df.brma_samples	Convert brma_samples to posterior Draws Formats
as_draws_df.default	Convert brma Objects to posterior Draws Formats
as_draws_list	Convert brma Objects to posterior Draws Formats
as_draws_list.brma	Convert brma Objects to posterior Draws Formats
as_draws_list.brma_samples	Convert brma_samples to posterior Draws Formats
as_draws_list.default	Convert brma Objects to posterior Draws Formats
as_draws_matrix	Convert brma Objects to posterior Draws Formats
as_draws_matrix.brma	Convert brma Objects to posterior Draws Formats
as_draws_matrix.brma_samples	Convert brma_samples to posterior Draws Formats
as_draws_matrix.default	Convert brma Objects to posterior Draws Formats
as_draws_rvars	Convert brma Objects to posterior Draws Formats
as_draws_rvars.brma	Convert brma Objects to posterior Draws Formats
as_draws_rvars.brma_samples	Convert brma_samples to posterior Draws Formats
as_draws_rvars.default	Convert brma Objects to posterior Draws Formats
as_metafor_forest	Prepare brma Data for metafor Forest Plots
as_metafor_forest.brma	Prepare brma Data for metafor Forest Plots
as_zplot	Transform brma Object to Zplot
as_zplot.brma	Transform brma Object to Zplot

-- B --

bayes_factor.brma	Bayes Factor for brma Objects
Bem2011	9 experimental studies from Bem (2011) as described in Bem et al. (2011)
bf.brma	Bayes Factor for brma Objects
bfunnel	Frequentist-Style and Bayesian Funnel Plots for brma Objects
bfunnel.brma	Frequentist-Style and Bayesian Funnel Plots for brma Objects
bfunnel.default	Frequentist-Style and Bayesian Funnel Plots for brma Objects
BF_hypothesis	Hypothesis Bayes Factors
bf_hypothesis	Hypothesis Bayes Factors
BIC.brma	Unsupported Information Criteria for brma Objects
blup	Best Linear Unbiased Predictions (BLUPs)
blup.brma	Best Linear Unbiased Predictions for brma Objects
BMA	Bayesian Model-Averaged Meta-Analysis
BMA.glmm	Bayesian Model-Averaged Generalized Meta-Analysis
BMA.mv	Bayesian Model-Averaged Multivariate Meta-Analysis
BMA.norm	Bayesian Model-Averaged Meta-Analysis
bPEESE	Bayesian Precision-Effect Estimate with Standard Errors (PEESE) Model
bPEESE.mv	Bayesian Multivariate and Multilevel PEESE Model
bPET	Bayesian Precision-Effect Test (PET) Model
bPET.mv	Bayesian Multivariate and Multilevel PET Model
bridge_sampler.brma	Bridge Sampling for brma Objects
brma	Bayesian Meta-Analysis
brma.glmm	Bayesian Generalized Meta-Analysis
brma.mv	Bayesian Meta-Analysis With Known Sampling Covariance
brma.norm	Bayesian Meta-Analysis
bselmodel	Bayesian Selection Model
bselmodel.mv	Bayesian Multivariate and Multilevel Selection Model

-- C --

check_loo	Check LOO Diagnostics for brma Objects
check_loo.brma	Check LOO Diagnostics for brma Objects
coef.brma	Extract Model Coefficients for brma Objects
contr.BayesTools	BayesTools Contrast Matrices
contr.independent	BayesTools Contrast Matrices
contr.meandif	BayesTools Contrast Matrices
contr.orthonormal	BayesTools Contrast Matrices
cooks.distance.brma	Cook's Distance for brma Objects
covratio	COVRATIO for brma Objects
covratio.brma	COVRATIO for brma Objects

-- D --

density_diagnostics	Extract qCMDE/IWMDE Density Diagnostics
dfbetas.brma	DFBETAS for brma Objects
dffits	DFFITS for brma Objects
dffits.brma	DFFITS for brma Objects

-- E --

estimate_unit_information_sd

Estimate Unit Information Standard Deviation

-- F --

fitted.brma	Fitted Values for brma Objects
forest.brma	Forest Plot for brma Objects Using metafor
forest.metafor_forest.brma	Forest Plot for brma Objects Using metafor
funnel	Frequentist-Style and Bayesian Funnel Plots for brma Objects
funnel.brma	Frequentist-Style and Bayesian Funnel Plots for brma Objects

-- G --

galbraith	Radial (Galbraith) Plot for brma Object
galbraith.brma	Radial (Galbraith) Plot for brma Object

-- H --

hatvalues.brma	Hat Values for brma Objects
Havrankova2025	1159 effect sizes from a meta-analysis of beauty and professional success by Havránková et al. (2025)
hist.zplot_brma	Histogram of Z-Statistics
Hoogeveen2023	106 analyst-team effect-size estimates of the relation between religiosity and well-being from Hoogeveen et al. (2023)
Hoppen2025	37 studies from a meta-analysis of social comparison as a behavior change technique by Hoppen et al. (2025)
hypothesis	Hypothesis Bayes Factors
hypothesis.brma	Hypothesis Bayes Factors
hypothesis.default	Hypothesis Bayes Factors
hypothesis.marginal_means.brma	Hypothesis Bayes Factors

-- I --

influence.brma	Measure Influence for brma Objects
interpret	Interpret brma Results
interpret.brma	Interpret brma Results
interpret.default	Interpret brma Results

-- J --

Johnides2025

412 effect sizes from a meta-analysis of secondary benefits of family-based treatments by Johnides et al. (2025)

-- K --

known_v_factor	Declare a diagonal-plus-factor sampling covariance
Kroupova2021	881 estimates from 69 studies of a relationship between employment and educational outcomes collected by Kroupova et al. (2024)

-- L --

lines.brma	Plots brma Object
lines.marginal_means.brma	Plot Estimated Marginal Means
lines.zplot_brma	Add Zplot Density Lines
logLik.brma	Extract Log-Likelihood Matrix from brma Object
logml.brma	Log Marginal Likelihood for brma Objects
log_lik	Extract Pointwise Log-Likelihood Draws
log_lik.brma	Extract Pointwise Log-Likelihood Draws
loo	LOO-PSIS for brma Objects
loo.brma	LOO-PSIS for brma Objects
loo_compare	Compare brma Models Using LOO
loo_compare.brma	Compare brma Models Using LOO
loo_compare.loo	Compare loo Objects Using LOO
loo_model_weights.brma	Predictive Model Weights for brma Objects
loo_weights	Extract Normalized PSIS Weights from brma Object
loo_weights.brma	Extract Normalized PSIS Weights from brma Object
Lui2015	18 studies of a relationship between acculturation mismatch and intergenerational cultural conflict collected by Lui (2015)

-- M --

ManyLabs16	55 effect sizes from Many Labs 2 replication studies of Tversky and Kahneman (1981) framing effects
marginal_means	Estimated Marginal Means
marginal_means.brma	Estimated Marginal Means for brma Objects

-- N --

nobs.brma

Number of Observations for brma Objects

-- P --

plot.brma	Plots brma Object
plot.marginal_means.brma	Plot Estimated Marginal Means
plot.zplot_brma	Plot Zplot Results
plot_diagnostic	Plot MCMC Diagnostics
plot_diagnostic.brma	Plot MCMC Diagnostics
plot_diagnostic_autocorrelation	Plot MCMC Diagnostics
plot_diagnostic_autocorrelation.brma	Plot MCMC Diagnostics
plot_diagnostic_density	Plot MCMC Diagnostics
plot_diagnostic_density.brma	Plot MCMC Diagnostics
plot_diagnostic_trace	Plot MCMC Diagnostics
plot_diagnostic_trace.brma	Plot MCMC Diagnostics
plot_pet_peese	Plot PET-PEESE Fit of brma Object
plot_pet_peese.brma	Plot PET-PEESE Fit of brma Object
plot_prior	Plot Prior Distributions
plot_prior.brma	Plot Prior Distributions
plot_prior.prior	Plot Prior Distributions
plot_weightfunction	Plots Weight Function of brma Object
plot_weightfunction.brma	Plots Weight Function of brma Object
pooled_effect	Pooled Effect Size
pooled_effect.brma	Pooled Effect Size for brma Objects
pooled_heterogeneity	Pooled Heterogeneity
pooled_heterogeneity.brma	Pooled Heterogeneity for brma Objects
post_prob.brma	Posterior Model Probabilities for brma Objects
Poulsen2006	5 studies with a tactile outcome assessment from Poulsen et al. (2006) of the effect of potassium-containing toothpaste on dentine hypersensitivity
predict.brma	Predict From brma Object
print.brma	Summarize brma Object
print.brma_samples	Print brma_samples Object
print.interpret.brma	Interpret brma Results
print.marginal_means.brma	Print Estimated Marginal Means
print.RoBMA_data	Print method for RoBMA_data objects
print.summary.brma	Summarize brma Object
print.summary.brma_samples	Print summary.brma_samples Object
print.summary.marginal_means.brma	Print Summary of Estimated Marginal Means
print.summary.zplot_brma	Print Zplot Summary
print.summary_heterogeneity.brma	Print Summary of Heterogeneity
print.summary_heterogeneity.brma_list	Summary of Heterogeneity for brma Objects
print.summary_models.RoBMA	Summarize Model-Averaged Component Weights
print.vif.brma	Print VIF Results
print_prior	Print Prior Distributions
print_prior.brma	Print Prior Distributions
print_prior.prior	Print Prior Distributions
prior	Prior Distribution
prior_factor	Factor Prior
prior_informed	Informed Prior
prior_lkj	Random-effect prior constructors
prior_none	Empty Prior
prior_ordered	Ordered Factor Prior
prior_PEESE	PEESE Prior
prior_PET	PET Prior
prior_random	Random-effect prior constructors
prior_weightfunction	Weightfunction Prior

-- Q --

qqnorm.brma

Normal QQ Plot for brma Object

-- R --

radial	Radial (Galbraith) Plot for brma Object
radial.brma	Radial (Galbraith) Plot for brma Object
random_block	Random-effect prior constructors
random_covariance	Random-effect prior constructors
random_effect_formula_tags	Random-Effect Formula Structure Tags
random_monitor	Random-effect prior constructors
random_new_levels	Random-effect prior constructors
random_sd_source	Random-effect prior constructors
random_variance_allocation	Random-effect prior constructors
ranef	Random Effects
ranef.brma	Random Effects for brma Objects
regplot	Regression Plot (Bubble Plot) for brma Object
regplot.brma	Regression Plot (Bubble Plot) for brma Object
remove_selection_cache	Remove a fitted model's selection cache
residuals.brma	Residuals for brma Objects
RoBMA	Robust Bayesian Model-Averaged Meta-Analysis
RoBMA.get_option	Options for the RoBMA package
RoBMA.mv	Robust Bayesian Model-Averaged Multivariate Meta-Analysis
RoBMA.options	Options for the RoBMA package
RoBMA.package	RoBMA: Robust Bayesian Meta-Analysis
RoBMA_control	Control MCMC fitting process
RoBMA_options	Options for the RoBMA package
RoBMA_package	RoBMA: Robust Bayesian Meta-Analysis
rstandard.brma	Internally Standardized Residuals for brma Objects
rstudent.brma	Externally Standardized (Studentized) Residuals for brma Objects

-- S --

selection_cache_info	Inspect or clear the native selection cache
selection_model	Selection Model
selection_sampler_info	Inspect corrected selection-sampler counters
selection_sensitivity_diagnostics	Diagnose Selection Conditioning Sensitivity
set_autofit_control	Control MCMC fitting process
set_convergence_checks	Control MCMC fitting process
set_selection_likelihood_control	Control numerical integration of selection likelihoods
summary.brma	Summarize brma Object
summary.brma_samples	Summarize brma_samples Object
summary.marginal_means.brma	Summarize Estimated Marginal Means
summary.zplot_brma	Summarize Zplot Results
summary_heterogeneity	Summary of Heterogeneity
summary_heterogeneity.brma	Summary of Heterogeneity for brma Objects
summary_models	Summarize Model-Averaged Component Weights
summary_models.RoBMA	Summarize Model-Averaged Component Weights

-- T --

true_effects	True Effects
true_effects.brma	True Effects for brma Objects

-- U --

update.brma

Update a brma Fit

-- V --

vif	Variance Inflation Factors
vif.brma	Variance Inflation Factors for brma Objects

-- W --

waic	WAIC for brma Objects
waic.brma	WAIC for brma Objects
Wang2025	70 effect sizes from a meta-analysis of ChatGPT's impact on student learning by Wang and Fan (2025)
Weingarten2018	582 effect sizes examining the ease-of-retrieval effect from a meta-analysis by Weingarten and Hutchinson (2018)
wf_cumulative	Weightfunction Prior
wf_fixed	Weightfunction Prior
wf_independent	Weightfunction Prior

-- Z --

zplot	Plot Zplot Diagnostics Directly
zplot.brma	Plot Zplot Diagnostics Directly
zplot.zplot_brma	Plot Zplot Diagnostics Directly