plot_default

Plots default priors for the mean effect \(d\) and the standard deviation of effects \(tau\).

Computes the posterior model probabilities for standard meta-analysis models
(null model vs. alternative model assuming either fixed- or random-effects, respectively).
These posterior probabilities are used to estimate the overall mean effect size
as the weighted average of the mean effect size estimates of the random- and
fixed-effect model as proposed by Gronau, Van Erp, Heck, Cesario, Jonas, &
Wagenmakers (2017, <doi:10.1080/23743603.2017.1326760>). The user can define
a wide range of non-informative or informative priors for the mean effect size
and the heterogeneity coefficient. Moreover, using pre-compiled Stan models,
meta-analysis with continuous and discrete moderators with Jeffreys-Zellner-Siow (JZS)
priors can be fitted and tested. This allows to compute Bayes factors and
perform Bayesian model averaging across random- and fixed-effects meta-analysis
with and without moderators. For a primer on Bayesian model-averaged meta-analysis,
see Gronau, Heck, Berkhout, Haaf, & Wagenmakers (2021, <doi:10.1177/25152459211031256>).

Daniel W. Heck

metaBMA

Bayesian Model Averaging for Random and Fixed Effects
Meta-Analysis

Quentin F. Gronau

Eric-Jan Wagenmakers

Indrajeet Patil

plot_default function

<dl><dt>field</dt>
<dd>either<code>"psychology"</code> or <code>"medicine"</code></dd>
<dt>effect</dt>
<dd>the type of effect size used in the meta-analysis: either
Cohen's d (<code>"d"</code>),
Fisher's z-transformed correlation (<code>"z"</code>),
or log odds ratios (<code>"logOR"</code>).</dd>
<dt>...</dt>
<dd>further arguments passed to <code><a href="/link/plot?package=metaBMA&version=0.6.9" data-mini-rdoc="metaBMA::plot">plot</a></code> (e.g., <code>from</code>, <code>to</code>)</dd></dl>

Arguments

Plot Default Priors — plot_default

<dl>

<dt>field</dt>
<dd>either<code>"psychology"</code> or <code>"medicine"</code></dd>


<dt>effect</dt>
<dd>the type of effect size used in the meta-analysis: either
Cohen's d (<code>"d"</code>),
Fisher's z-transformed correlation (<code>"z"</code>),
or log odds ratios (<code>"logOR"</code>).</dd>


<dt>...</dt>
<dd>further arguments passed to <code><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></code> (e.g., <code>from</code>, <code>to</code>)</dd>

</dl>

plot_default: Plot Default Priors

Description

Usage

Arguments

See Also

Examples