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 Abdelmageed [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:

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