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ma-meta-analysis

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End-to-end meta-analysis in R

Data & Analytics#r#meta-analysis#reproducibility#heterogeneity#effect-size#renv#publication-bias
Authorhtlin222
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables researchers to perform and reproduce statistical meta-analyses in R, from data extraction to manuscript-ready outputs, using a standardized, renv-powered workflow.

Core Features & Use Cases

  • Automated meta-analysis workflow: compute effect sizes, fit REML + Hartung-Knapp models, evaluate heterogeneity, and assess publication bias.
  • Publication-ready outputs: generate forest plots, funnel plots, subgroup analyses, and tables formatted for manuscripts.
  • End-to-end project support: manage data and templates across the pipeline (01_protocol to 09_qa) and export outputs for reporting.

Quick Start

Create a new ma-meta-analysis project and run the 9-stage pipeline to generate all outputs.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: ma-meta-analysis
Download link: https://github.com/htlin222/meta-pipe/archive/main.zip#ma-meta-analysis

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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