Anderson2010

<p>The data set contains correlation coefficients, sample
sizes, and labels for 27 experimental studies focusing on the effect of
violent video games on aggressive behavior. The full original data can
found at https://github.com/Joe-Hilgard/Anderson-meta.</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

Anderson2010 function

<p>A data.frame with 3 columns and 23 observations.</p>

Format

27 experimental studies from
anderson2010violent;textualRoBMA that meet the best practice criteria — Anderson2010

27 experimental studies from
anderson2010violent;textualRoBMA that meet the best practice criteria

Anderson2010: 27 experimental studies from anderson2010violent;textualRoBMA that meet the best practice criteria

Description

Usage

Arguments

Value

Format

References