method.default

Implements a unified interface for benchmarking meta-analytic
publication bias correction methods through simulation studies (see
Bartoš et al., 2025, <doi:10.48550/arXiv.2510.19489>). It provides
1) predefined data-generating mechanisms from the literature, 2) functions
for running meta-analytic methods on simulated data, 3) pre-simulated
datasets and pre-computed results for reproducible benchmarks, 4) tools for
visualizing and comparing method performance.

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

PublicationBiasBenchmark

Benchmark for Publication Bias Correction Methods

František Bartoš

Samuel Pawel

Björn S. Siepe

method.default function

<dl><dt>method_name</dt>
<dd>Character string specifying the method type</dd>
<dt>data</dt>
<dd>Data frame containing yi (effect sizes) and sei (standard errors)</dd>
<dt>settings</dt>
<dd>Either a character identifying a method version or list
containing method-specific settings. An emty input will result in running the
default (first implemented) version of the method.</dd></dl>

Arguments

Default method handler — method.default

<dl>

<dt>method_name</dt>
<dd>Character string specifying the method type</dd>


<dt>data</dt>
<dd>Data frame containing yi (effect sizes) and sei (standard errors)</dd>


<dt>settings</dt>
<dd>Either a character identifying a method version or list
containing method-specific settings. An emty input will result in running the
default (first implemented) version of the method.</dd>

</dl>

method.default: Default method handler

Description

Usage

Value

Arguments