A Bootstrap-Based Heterogeneity Test for Meta-Analysis R package boot.heterogeneity version 1.1.5 CRAN Task View: MetaAnalysis (https://CRAN.R-project.org/view=MetaAnalysis) 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). Software Depends: R (>= 3.1.0) Imports: stats, metafor, utils, pbmcapply, HSAUR3, knitr, rmarkdown Suggests: base, roxygen2, parallel, testthat Ge Jiang <gejiang2@illinois.edu> Comprehensive R Archive Network (CRAN) Ge Jiang [aut, cre], Han Du [aut], Zijun Ke [ctb] GPL (>= 2) 2021-10-23 application/tgz https://CRAN.R-project.org/package=boot.heterogeneity doi:10.32614/CRAN.package.boot.heterogeneity