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metagroup: Meaningful Grouping of Studies in Meta-Analysis

Performs meaningful subgrouping in a meta-analysis. This is a two-step process; first, use the iterative grouping functions (e.g., mgbin(), mgcont() ) to partition studies into statistically homogeneous clusters based on their effect size data. Second, use the meaning() function to analyze these new subgroups and understand their composition based on study-level characteristics (e.g., country, setting). This approach helps to uncover hidden structures in meta-analytic data and provide a deeper interpretation of heterogeneity.

Version:1.0.2
Imports:dplyr,ggplot2,magrittr,meta,rlang
Published:2025-09-10
DOI:10.32614/CRAN.package.metagroup
Author:Ahmed AbdelmageedORCID iD [cre, aut]
Maintainer:Ahmed Abdelmageed <ahmedelsaeedmassad at gmail.com>
License:GPL (≥ 3)
URL:https://github.com/asmpro7/metagroup/
NeedsCompilation:no
Materials:README,NEWS
In views:MetaAnalysis
CRAN checks:metagroup results

Documentation:

Reference manual:metagroup.html ,metagroup.pdf

Downloads:

Package source: metagroup_1.0.2.tar.gz
Windows binaries: r-devel:metagroup_1.0.2.zip, r-release:metagroup_1.0.2.zip, r-oldrel:metagroup_1.0.2.zip
macOS binaries: r-release (arm64):metagroup_1.0.2.tgz, r-oldrel (arm64):metagroup_1.0.2.tgz, r-release (x86_64):metagroup_1.0.2.tgz, r-oldrel (x86_64):metagroup_1.0.2.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=metagroupto link to this page.


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