R: Robust Bayesian Meta-Analyses

# Robust Bayesian Meta-Analyses

## Documentation for package ‘RoBMA’ version 4.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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

RoBMA-package | 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_waic | Add WAIC to brma Objects
add_waic.brma | Add WAIC to brma Objects
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.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_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
bias_prior_specification | Publication-bias prior specification
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.norm | Bayesian Model-Averaged Meta-Analysis
bPEESE | Bayesian Precision-Effect Estimate with Standard Errors (PEESE) Model
bPET | Bayesian Precision-Effect Test (PET) Model
bridge_sampler.brma | Bridge Sampling for brma Objects
brma | Bayesian Meta-Analysis
brma.glmm | Bayesian Generalized Meta-Analysis
brma.norm | Bayesian Meta-Analysis
bselmodel | Bayesian 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 --

data_input | Input Data Specification
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
fitting_specification | Fitting specification
funnel | Funnel Plot for brma Object
funnel.brma | Funnel Plot for brma Object

## -- 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
Hoppen2025 | 37 studies from a meta-analysis of social comparison as a behavior change technique by Hoppen et al. (2025)

## -- 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 --

Kroupova2021 | 881 estimates from 69 studies of a relationship between employment and educational outcomes collected by Kroupova et al. (2021)

## -- L --

lines.zplot_brma | Add Zplot Density Lines
logLik.brma | Extract Log-Likelihood Matrix from brma Object
logml.brma | Log Marginal Likelihood for brma Objects
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_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_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_none | Empty Prior
prior_PEESE | PEESE Prior
prior_PET | PET Prior
prior_specification | Prior specification
prior_weightfunction | Weightfunction Prior
publication_bias_prior_specification | Publication-bias prior specification

## -- 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
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
residuals.brma | Residuals for brma Objects
RoBMA | Robust Bayesian Model-Averaged Meta-Analysis
RoBMA.get_option | Options for the RoBMA package
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
RoBMA_prior_specification | Prior specification for model-averaging
rstandard.brma | Internally Standardized Residuals for brma Objects
rstudent.brma | Externally Standardized (Studentized) Residuals for brma Objects

## -- S --

set_autofit_control | Control MCMC fitting process
set_convergence_checks | Control MCMC fitting process
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