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boot.heterogeneity
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Download and install boot.heterogeneity package within the R console
Install from CRAN:
install.packages("boot.heterogeneity")
Install from Github:
library("remotes")
install_github("cran/boot.heterogeneity")
Install by package version:
library("remotes")
install_version("boot.heterogeneity", "1.1.5")
Attach the package and use:
library("boot.heterogeneity")
Maintained by
Ge Jiang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-08
Latest Update: 2021-10-23
Description:
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).
How to cite:
Ge Jiang (2020). boot.heterogeneity: A Bootstrap-Based Heterogeneity Test for Meta-Analysis. R package version 1.1.5, https://cran.r-project.org/web/packages/boot.heterogeneity
Previous versions and publish date:
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Functions, R codes and Examples using
the boot.heterogeneity R package
Some associated functions: boot.d . boot.fcor . boot.lnOR .
Some associated R codes: Internal.R . boot.d.R . boot.fcor.R . boot.lnOR.R . Full boot.heterogeneity package functions and examples
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