Bem2011

<p>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.</p>

datasets

A framework for estimating ensembles of meta-analytic, meta-regression, and
multilevel models (assuming either presence or absence of the effect, heterogeneity,
publication bias, and moderators). The RoBMA framework uses Bayesian model-averaging to
combine the competing meta-analytic models into a model ensemble, weights
the posterior parameter distributions based on posterior model probabilities
and uses Bayes factors to test for the presence or absence of the
individual components (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 define a wide range of prior distributions for the effect size, heterogeneity,
publication bias (including selection models and PET-PEESE), and moderator components.
The package provides convenient functions for summary, visualizations, and fit diagnostics.

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

<p>A data.frame with 3 columns and 9 observations.</p>

Format

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

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

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

Description

Usage

Arguments

Value

Format

References