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) , Haldane (1940) , Hedges (1981) , Hedges & Olkin (1985, ISBN:978-0123363800), Silagy, Lancaster, Stead, Mant, & Fowler (2004) , Viechtbauer (2010) , and Zuckerman (1994, ISBN:978-0521432009).


Reference manual

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1.1.2 by Ge Jiang, 9 months ago


Report a bug at https://github.com/gabriellajg/boot.heterogeneity/issues

Browse source code at https://github.com/cran/boot.heterogeneity

Authors: Ge Jiang [aut, cre] , Han Du [aut] , Zijun Ke [ctb]

Documentation:   PDF Manual  

Task views: Meta-Analysis

GPL (>= 2) license

Imports stats, metafor, utils, pbmcapply, HSAUR3, knitr, rmarkdown

Suggests base, roxygen2, parallel, testthat

Imported by mc.heterogeneity.

See at CRAN