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mc.heterogeneity  

A Monte Carlo Based Heterogeneity Test for Meta-Analysis
View on CRAN: Click here


Download and install mc.heterogeneity package within the R console
Install from CRAN:
install.packages("mc.heterogeneity")

Install from Github:
library("remotes")
install_github("cran/mc.heterogeneity")

Install by package version:
library("remotes")
install_version("mc.heterogeneity", "0.1.2")



Attach the package and use:
library("mc.heterogeneity")
Maintained by
Ge Jiang
[Scholar Profile | Author Map]
First Published: 2019-05-20
Latest Update: 2020-09-21
Description:
Implements a Monte Carlo 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 likelihood, so installation of R package 'metafor' is required. This approach refers to the studies of 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 (2019). mc.heterogeneity: A Monte Carlo Based Heterogeneity Test for Meta-Analysis. R package version 0.1.2, https://cran.r-project.org/web/packages/mc.heterogeneity. Accessed 08 May. 2025.
Previous versions and publish date:
0.1.0 (2019-05-20 10:50), 0.1.1 (2020-06-24 10:40)
Other packages that cited mc.heterogeneity R package
View mc.heterogeneity citation profile
Other R packages that mc.heterogeneity depends, imports, suggests or enhances
Complete documentation for mc.heterogeneity
Functions, R codes and Examples using the mc.heterogeneity R package
Some associated functions: dot-onAttach . mc.d . mc.fcor . mc.lnOR . 
Some associated R codes: Internal.R . mc.d.R . mc.fcor.R . mc.lnOR.R . zzz.R .  Full mc.heterogeneity package functions and examples
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