S_G_squared

Calculate sample variance of generic statistic

internal

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

S_G_squared function

<dl><dt>G</dt>
<dd>Vector of generic statistics</dd></dl>

Arguments

Calculate sample variance of generic statistic — S_G_squared

<dl>

<dt>G</dt>
<dd>Vector of generic statistics</dd>

</dl>

S_G_squared: Calculate sample variance of generic statistic

Description

Usage

Value

Arguments