Havrankova2025

The data set contains effect sizes (percent increase in earnings), standard errors,
study identifiers, sample sizes, and the type of customer contact (no, some, or direct).
The meta-analysis examined the relationship between perceived beauty and professional success
havrankova2025beautyRoBMA.

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

Havrankova2025 function

A data.frame with 5 columns and 1159 observations:<dl>
<dt><code>y</code></dt>
<dd>Effect size: percent increase in earnings.</dd><dt><code>se</code></dt>
<dd>Standard error of y.</dd><dt><code>facing_customer</code></dt>
<dd>Type of customer contact.</dd><dt><code>study_id</code></dt>
<dd>Study identifier.</dd><dt><code>N</code></dt>
<dd>Sample size.</dd>
</dl>

Format

1159 effect sizes from a meta-analysis of beauty and professional success
by havrankova2025beauty;textualRoBMA — Havrankova2025

A data.frame with 5 columns and 1159 observations:<dl>
<dt><code>y</code></dt>
<dd>Effect size: percent increase in earnings.</dd>

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

<dt><code>facing_customer</code></dt>
<dd>Type of customer contact.</dd>

<dt><code>study_id</code></dt>
<dd>Study identifier.</dd>

<dt><code>N</code></dt>
<dd>Sample size.</dd>


</dl>

Havrankova2025: 1159 effect sizes from a meta-analysis of beauty and professional success by havrankova2025beauty;textualRoBMA

Description

Usage

Arguments

Format

References