Bem2011

The data set contains Cohen's d effect sizes, standard errors,
and labels for 9 experimental studies of precognition from the infamous
bem2011feeling;textualRoBMA as analyzed in his later meta-analysis
bem2011mustRoBMA.

datasets

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

Bem2011 function

A data.frame with 3 columns and 9 observations:<dl>
<dt><code>d</code></dt>
<dd>Cohen's d effect size.</dd><dt><code>se</code></dt>
<dd>Standard error of d.</dd><dt><code>study</code></dt>
<dd>Study label.</dd>
</dl>

Format

9 experimental studies from
bem2011feeling;textualRoBMA as described in
bem2011must;textualRoBMA — Bem2011

A data.frame with 3 columns and 9 observations:<dl>
<dt><code>d</code></dt>
<dd>Cohen's d effect size.</dd>

<dt><code>se</code></dt>
<dd>Standard error of d.</dd>

<dt><code>study</code></dt>
<dd>Study label.</dd>


</dl>

Bem2011: 9 experimental studies from bem2011feeling;textualRoBMA as described in bem2011must;textualRoBMA

Description

Usage

Arguments

Format

References