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.

Version: 0.1.0
Depends: R (≥ 3.1.0)
Imports: stats, metafor, utils
Suggests: base, HSAUR2, roxygen2, knitr, rmarkdown
Published: 2019-05-20
Author: Han Du, Zijun Ke, Ge Jiang
Maintainer: Ge Jiang <gejiang2 at illinois.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: mc.heterogeneity results

Downloads:

Reference manual: mc.heterogeneity.pdf
Vignettes: mc.heterogeneity
Package source: mc.heterogeneity_0.1.0.tar.gz
Windows binaries: r-devel: mc.heterogeneity_0.1.0.zip, r-release: mc.heterogeneity_0.1.0.zip, r-oldrel: mc.heterogeneity_0.1.0.zip
OS X binaries: r-release: mc.heterogeneity_0.1.0.tgz, r-oldrel: mc.heterogeneity_0.1.0.tgz

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