Anderson2010

<p>The dataset contains correlational coefficients, sample
sizes, and labels for 27 experimental studies focusing on the effect of
violent videogames 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 models
(assuming either presence or absence of the effect, heterogeneity, and
publication bias) and using Bayesian model averaging to combine them. The
ensembles use Bayes factors to test for the presence or absence of the
individual components (e.g., effect vs. no effect) and model-averages
parameter estimates based on posterior model probabilities
(Maier, Barto<c5><a1> & Wagenmakers, 2020, <doi:10.31234/osf.io/u4cns>). The user can
define a wide range of non-informative or informative priors for the
effect size, heterogeneity, and weight functions. The package provides
convenient functions for summary, visualizations, and fit diagnostics.

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

RoBMA

Robust Bayesian Meta-Analyses

Maximilian Maier

Eric-Jan Wagenmakers

Joris Goosen

Anderson2010 function

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

Format

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

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

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

Description

Usage

Arguments

Format

References