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
Author: Ahmed Abdelmageed ORCID iD [cre, aut]
Maintainer: Ahmed Abdelmageed <ahmedelsaeedmassad at gmail.com>
License: GPL (≥ 3)
URL: https://github.com/asmpro7/metagroup/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: metagroup results

Documentation:

Reference manual: metagroup.html , metagroup.pdf

Downloads:

Package source: metagroup_1.0.2.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
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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