boot.heterogeneity: A Bootstrap-Based Heterogeneity Test for Meta-Analysis

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).

Version: 0.1.1
Depends: R (≥ 3.1.0)
Imports: stats, metafor, utils, pbmcapply
Suggests: base, HSAUR3, roxygen2, parallel, knitr, rmarkdown, testthat
Published: 2020-09-21
Author: Ge Jiang [aut, cre], Han Du [aut], Zijun Ke [ctb]
Maintainer: Ge Jiang <gejiang2 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
In views: MetaAnalysis
CRAN checks: boot.heterogeneity results


Reference manual: boot.heterogeneity.pdf
Vignettes: boot.heterogeneity
Package source: boot.heterogeneity_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: boot.heterogeneity_0.1.1.tgz, r-oldrel: boot.heterogeneity_0.1.1.tgz
Old sources: boot.heterogeneity archive

Reverse dependencies:

Reverse imports: mc.heterogeneity


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