A Bootstrap-Based Heterogeneity Test for Meta-Analysis
Overview
Implements a bootstrap-based heterogeneity test for standardized mean differences (d), Fisher-transformed Pearson's correlations (r), and natural-logarithm-transformed odds ratio (or) in meta-analysis studies. Depending on the presence of moderators, this Monte Carlo based test can be implemented in the random- or mixed-effects model. This package uses rma() function from the R package 'metafor' to obtain parameter estimates and likelihoods, so installation of R package 'metafor' is required. This approach refers to the studies of Anscombe (1956) doi:10.2307/2332926, Haldane (1940) doi:10.2307/2332614, Hedges (1981) doi:10.3102/10769986006002107, Hedges & Olkin (1985, ISBN:978-0123363800), Silagy, Lancaster, Stead, Mant, & Fowler (2004) doi:10.1002/14651858.CD000146.pub2, Viechtbauer (2010) doi:10.18637/jss.v036.i03, and Zuckerman (1994, ISBN:978-0521432009).
Install
Health
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespaces in Imports field not imported from: ‘HSAUR3’ ‘knitr’ ‘rmarkdown’ All declared Imports should be used.
- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 3
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Downloads
Repository
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Dependencies
Code & Tests
People & History
Package metadata
- First published
- 2020-05-08
- Total releases
- 4 / 6 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.1.0
- Download size
- 276 KB
Cite
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