# Robust Bayesian Meta-Analyses

## Documentation for package ‘RoBMA’ version 3.6.1

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

## Help Pages

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

RoBMA-package | RoBMA: Robust Bayesian meta-analysis

## -- A --

adjusted_effect | Compute adjusted effect size
Anderson2010 | 27 experimental studies from Anderson et al. (2010) that meet the best practice criteria
Andrews2021 | 36 estimates of the effect of household chaos on child executive functions with the mean age and assessment type covariates from a meta-analysis by Andrews et al. (2021)
as_zcurve | Transform RoBMA object into z-curve

## -- B --

Bem2011 | 9 experimental studies from Bem (2011) as described in Bem et al. (2011)
BiBMA | Estimate a Bayesian Model-Averaged Meta-Analysis of Binomial Data
BiBMA.reg | Estimate a Robust Bayesian Meta-Analysis Meta-Regression

## -- C --

check_RoBMA | Check fitted RoBMA object for errors and warnings
check_RoBMA_convergence | Check fitted RoBMA object for errors and warnings
check_setup | Prints summary of '"RoBMA"' ensemble implied by the specified priors
check_setup.BiBMA | Prints summary of '"BiBMA.reg"' ensemble implied by the specified priors and formula
check_setup.reg | Prints summary of '"RoBMA.reg"' ensemble implied by the specified priors and formula
check_setup.RoBMA | Prints summary of '"RoBMA"' ensemble implied by the specified priors
check_setup.RoBMA.reg | Prints summary of '"RoBMA.reg"' ensemble implied by the specified priors and formula
combine_data | Combines different effect sizes into a common metric
contr.BayesTools | BayesTools Contrast Matrices
contr.independent | BayesTools Contrast Matrices
contr.meandif | BayesTools Contrast Matrices
contr.orthonormal | BayesTools Contrast Matrices

## -- D --

d2logOR | Effect size transformations
d2OR | Effect size transformations
d2r | Effect size transformations
d2z | Effect size transformations
diagnostics | Checks a fitted RoBMA object
diagnostics_autocorrelation | Checks a fitted RoBMA object
diagnostics_density | Checks a fitted RoBMA object
diagnostics_trace | Checks a fitted RoBMA object
dwnorm | Weighted normal distribution

## -- E --

effect_sizes | Effect size transformations
extract_posterior | Extract Posterior Samples from a RoBMA Model

## -- F --

forest | Forest plot for a RoBMA object
funnel | Funnel plot for a RoBMA object

## -- H --

Havrankova2025 | 1159 effect sizes from a meta-analysis of beauty and professional success by Havránková et al. (2025)
hist.zcurve_RoBMA | Create 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 --

interpret | Interprets results of a RoBMA model.
is.BiBMA | Reports whether x is a RoBMA object
is.BiBMA.reg | Reports whether x is a RoBMA object
is.NoBMA | Reports whether x is a RoBMA object
is.NoBMA.reg | Reports whether x is a RoBMA object
is.RoBMA | Reports whether x is a RoBMA object
is.RoBMA.reg | Reports whether x is a RoBMA object

## -- 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.zcurve_RoBMA | Add Lines With Posterior Predictive Distribution of Z-Statistics
logOR2d | Effect size transformations
logOR2OR | Effect size transformations
logOR2r | Effect size transformations
logOR2z | Effect size transformations
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_plot | Plots marginal estimates of a fitted RoBMA regression object
marginal_summary | Summarize marginal estimates of a fitted RoBMA regression object

## -- N --

NoBMA | Estimate a Bayesian Model-Averaged Meta-Analysis
NoBMA.reg | Estimate a Bayesian Model-Averaged Meta-Regression
n_d | Sample sizes to standard errors calculations
n_r | Sample sizes to standard errors calculations
n_z | Sample sizes to standard errors calculations

## -- O --

OR2d | Effect size transformations
OR2logOR | Effect size transformations
OR2r | Effect size transformations
OR2z | Effect size transformations

## -- P --

plot.RoBMA | Plots a fitted RoBMA object
plot.zcurve_RoBMA | Create Z-Curve Meta-Analytic Plot
plot_models | Models plot for a RoBMA object
pooled_effect | Compute pooled effect size
Poulsen2006 | 5 studies with a tactile outcome assessment from Poulsen et al. (2006) of the effect of potassium-containing toothpaste on dentine hypersensitivity
predict.RoBMA | Predict method for Robust Bayesian Meta-Analysis Fits
print.marginal_summary.RoBMA | Prints marginal_summary object for RoBMA method
print.RoBMA | Prints a fitted RoBMA object
print.summary.RoBMA | Prints summary object for RoBMA method
print.summary.zcurve_RoBMA | Prints summary object for zcurve_RoBMA method
print.zcurve_RoBMA | Prints a fitted zcurve_RoBMA object
prior | Creates a prior distribution
prior_factor | Creates a prior distribution for factors
prior_informed | Creates an informed prior distribution based on research
prior_none | Creates a prior distribution
prior_PEESE | Creates a prior distribution for PET or PEESE models
prior_PET | Creates a prior distribution for PET or PEESE models
prior_weightfunction | Creates a prior distribution for a weight function
pwnorm | Weighted normal distribution

## -- Q --

qwnorm | Weighted normal distribution

## -- R --

r2d | Effect size transformations
r2logOR | Effect size transformations
r2OR | Effect size transformations
r2z | Effect size transformations
residuals.RoBMA | Extract method for Robust Bayesian Meta-Analysis Fits
RoBMA | Estimate a Robust Bayesian 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.reg | Estimate a Robust Bayesian Meta-Analysis Meta-Regression
RoBMA_control | Control MCMC fitting process
RoBMA_options | Options for the RoBMA package
RoBMA_package | RoBMA: Robust Bayesian meta-analysis
rwnorm | Weighted normal distribution

## -- S --

sample_sizes | Sample sizes to standard errors calculations
set_autofit_control | Control MCMC fitting process
set_convergence_checks | Control MCMC fitting process
set_default_binomial_priors | Set default prior distributions for binomial meta-analytic models
set_default_priors | Set default prior distributions
se_d | Sample sizes to standard errors calculations
se_d2se_logOR | Standard errors transformations
se_d2se_r | Standard errors transformations
se_d2se_z | Standard errors transformations
se_logOR2se_d | Standard errors transformations
se_logOR2se_r | Standard errors transformations
se_logOR2se_z | Standard errors transformations
se_r | Sample sizes to standard errors calculations
se_r2se_d | Standard errors transformations
se_r2se_logOR | Standard errors transformations
se_r2se_z | Standard errors transformations
se_z | Sample sizes to standard errors calculations
se_z2se_d | Standard errors transformations
se_z2se_logOR | Standard errors transformations
se_z2se_r | Standard errors transformations
standard_errors | Standard errors transformations
summary.RoBMA | Summarize fitted RoBMA object
summary.zcurve_RoBMA | Summarize fitted zcurve_RoBMA object
summary_heterogeneity | Summarizes heterogeneity of a RoBMA model

## -- T --

true_effects | Compute estimated true effect sizes

## -- U --

update.BiBMA | Updates a fitted BiBMA object
update.RoBMA | Updates a fitted RoBMA object

## -- W --

Wang2025 | 70 effect sizes from a meta-analysis of ChatGPT's impact on student learning by Wang and Fan (2025)
weighted_multivariate_normal | Weighted multivariate normal distribution
weighted_normal | Weighted normal distribution
Weingarten2018 | 582 effect sizes examining the ease-of-retrieval effect from a meta-analysis by Weingarten and Hutchinson (2018)

## -- Z --

z2d | Effect size transformations
z2logOR | Effect size transformations
z2OR | Effect size transformations
z2r | Effect size transformations