README.md

In metagroup: Meaningful Grouping of Studies in Meta-Analysis

metagroup

Meaningful Grouping of Studies in Meta-Analysis

## Overview `metagroup` provides a suite of tools to uncover hidden structures in meta-analytic data. It uses a two-step process to perform meaningful subgroup analysis: 1. **Group:** Use iterative grouping functions (e.g., `mgbin()`, `mgcont()`) to partition studies into statistically homogeneous clusters based on their effect size data. 2. **Interpret:** Use the `meaning()` function and its associated `plot()` method to analyze these new subgroups and understand their composition based on study-level characteristics (e.g., country, setting). This approach helps to provide a deeper, more data-driven interpretation of heterogeneity in a meta-analysis. --- ## Installation You can install the development version of `metagroup` from GitHub with: wzxhzdk:0 --- ## Example Usage Here is a basic example of the core workflow: first grouping the studies, then finding the meaning behind the groups. wzxhzdk:1 --- ## License This package is licensed under the GPL-3 License.

metagroup documentation built on Sept. 10, 2025, 10:26 a.m.