reexports

bridge_sampler

logml

post_prob

bayes_factor

These objects are imported from other packages. Follow the links
below to see their documentation.
<dl>
 <dt>bridgesampling</dt>
<dd><code>bayes_factor</code>, <code>bf</code>, <code>bridge_sampler</code>, <code>logml</code>, <code>post_prob</code></dd>
</dl>

internal

A framework for Bayesian meta-analysis, including model estimation,
prior specification, model comparison, prediction, summaries, visualizations,
and diagnostics. The package fits single and model-averaged meta-analytic,
meta-regression, multilevel, publication bias adjusted, and generalized linear
mixed models The model-averaged meta-analytic models combine competing models
based on their predictive performance, weight inference by posterior model probabilities,
and test model components using Bayes factors (e.g., effect vs. no effect;
Bartoš et al., 2022, <doi:10.1002/jrsm.1594>; Maier, Bartoš & Wagenmakers, 2022,
<doi:10.1037/met0000405>; Bartoš et al., 2025, <doi:10.1037/met0000737>).
Users can specify flexible prior distributions for effect sizes, heterogeneity,
publication bias (including selection models and PET-PEESE), and moderators.

Franti<c5><a1>ek Barto<c5><a1>

RoBMA

Robust Bayesian Meta-Analyses

František Bartoš

Maximilian Maier

Eric-Jan Wagenmakers

Joris Goosen

Matthew Denwood

Martyn Plummer

reexports function

These objects are imported from other packages. Follow the links
below to see their documentation.
<dl>
 <dt>bridgesampling</dt>
<dd><code>bayes_factor</code>, <code>bf</code>, <code>bridge_sampler</code>, <code>logml</code>, <code>post_prob</code></dd>


</dl>

Objects exported from other packages — reexports

Objects exported from other packages

reexports: Objects exported from other packages

Description

Arguments