A Monte Carlo Based Heterogeneity Test for Meta-Analysis

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).


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.2 by Ge Jiang, a year ago

Browse source code at https://github.com/cran/mc.heterogeneity

Authors: Han Du [aut] , Ge Jiang [aut, cre] , Zijun Ke [ctb]

Documentation:   PDF Manual  

Task views: Meta-Analysis

GPL (>= 2) license

Imports stats, metafor, utils, boot.heterogeneity

Suggests base, HSAUR3, roxygen2, knitr, rmarkdown

See at CRAN