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).

Package details

AuthorGe Jiang [aut, cre], Han Du [aut], Zijun Ke [ctb]
MaintainerGe Jiang <gejiang2@illinois.edu>
LicenseGPL (>= 2)
Version0.1.1
URL https://github.com/gabriellajg/boot.heterogeneity/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("boot.heterogeneity")

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boot.heterogeneity documentation built on Oct. 23, 2020, 8:28 p.m.