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: |
1.1.5 |
Depends: |
R (≥ 3.1.0) |
Imports: |
stats, metafor, utils, pbmcapply, HSAUR3, knitr, rmarkdown |
Suggests: |
base, roxygen2, parallel, testthat |
Published: |
2021-10-23 |
DOI: |
10.32614/CRAN.package.boot.heterogeneity |
Author: |
Ge Jiang [aut, cre],
Han Du [aut],
Zijun Ke [ctb] |
Maintainer: |
Ge Jiang <gejiang2 at illinois.edu> |
BugReports: |
https://github.com/gabriellajg/boot.heterogeneity/issues |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
https://github.com/gabriellajg/boot.heterogeneity/ |
NeedsCompilation: |
no |
Materials: |
README |
In views: |
MetaAnalysis |
CRAN checks: |
boot.heterogeneity results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=boot.heterogeneity
to link to this page.