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).
- Version0.1.2
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Hedges (1981)
- Hedges & Olkin (1985)
- Silagy, Lancaster, Stead, Mant, & Fowler (2004)
- Viechtbauer (2010)
- Zuckerman (1994)
- Last release09/21/2020
Documentation
Team
Ge Jiang
Han Du
Show author detailsRolesAuthorZijun Ke
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 158 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
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Last 365 days
This package has been downloaded 2,172 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 30 downloads.
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Dependencies
- Imports2 packages
- Suggests4 packages