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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 |
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 |
Reference manual: | metagroup.html , metagroup.pdf |
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 |
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