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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.2 |
rolling linux/jammy R-4.5 | metagroup_1.0.2.tar.gz |
60.8 KiB |
1.0.2 |
rolling linux/noble R-4.5 | metagroup_1.0.2.tar.gz |
60.7 KiB |
1.0.2 |
rolling source/ R- | metagroup_1.0.2.tar.gz |
9.9 KiB |
1.0.2 |
latest linux/jammy R-4.5 | metagroup_1.0.2.tar.gz |
60.8 KiB |
1.0.2 |
latest linux/noble R-4.5 | metagroup_1.0.2.tar.gz |
60.7 KiB |
1.0.2 |
latest source/ R- | metagroup_1.0.2.tar.gz |
9.9 KiB |
1.0.2 |
2026-04-26 source/ R- | metagroup_1.0.2.tar.gz |
9.9 KiB |
1.0.2 |
2026-04-23 source/ R- | metagroup_1.0.2.tar.gz |
9.9 KiB |
1.0.2 |
2026-04-09 windows/windows R-4.5 | metagroup_1.0.2.zip |
63.6 KiB |