mc.heterogeneity: 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) <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: | 0.1.2 |
| Depends: | R (≥ 3.1.0) |
| Imports: | stats,metafor, utils,boot.heterogeneity |
| Suggests: | base,HSAUR3,roxygen2,knitr,rmarkdown |
| Published: | 2020-09-21 |
| DOI: | 10.32614/CRAN.package.mc.heterogeneity |
| Author: | Han Du [aut], Ge Jiang [aut, cre], Zijun Ke [ctb] |
| Maintainer: | Ge Jiang <gejiang2 at illinois.edu> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| In views: | MetaAnalysis |
| CRAN checks: | mc.heterogeneity results |
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