bayesian-meta-analysis
CommunityMaster Bayesian meta-analysis with priors.
Authormatheus-rech
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Teaches Bayesian approaches to meta-analysis, enabling probabilistic inference, incorporation of prior knowledge, and intuitive interpretation of posterior results, especially in cases of sparse data or complex hierarchical structures.
Core Features & Use Cases
- Bayesian vs Frequentist concepts and clear decision guidance
- Prior specification strategies (non-informative, weakly informative, informative)
- MCMC methods, convergence diagnostics, and posterior interpretation
- Practical implementation guidance with brms, bayesmeta, JAGS, and Stan
- Model comparison and sensitivity analysis for prior choices
Quick Start
Provide a simple Bayesian meta-analysis example using brms with a small dataset and priors.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: bayesian-meta-analysis Download link: https://github.com/matheus-rech/meta-agent-mobile/archive/main.zip#bayesian-meta-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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