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mc.heterogeneity (version 0.1.2)

A Monte Carlo Based Heterogeneity Test for Meta-Analysis

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).

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Install

install.packages('mc.heterogeneity')

Monthly Downloads

181

Version

0.1.2

License

GPL (>= 2)

Maintainer

Ge Jiang

Last Published

September 21st, 2020

Functions in mc.heterogeneity (0.1.2)

mc.lnOR

Natural-Logarithm-Transformed Odds Ratio (lnOR): Monte Carlo Based Heterogeneity Test for Between-study Heterogeneity in Random- or Mixed- Effects Model
.onAttach

.onAttach
mc.fcor

Fisher-transformed Pearson's correlation: Monte Carlo Based Heterogeneity Test for Between-study Heterogeneity in Random- or Mixed- Effects Model
mc.d

Standardized Mean Differences (d): Monte Carlo Based Heterogeneity Test for Between-study Heterogeneity in Random- or Mixed- Effects Model