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: |
0.1.1 |
| Depends: |
R (≥ 3.1.0) |
| Imports: |
stats, metafor, utils, boot.heterogeneity |
| Suggests: |
base, HSAUR2, roxygen2, knitr, rmarkdown |
| Published: |
2020-06-24 |
| 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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