hierarchical-models
CommunityMaster hierarchical Bayesian models.
Authorchoxos
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Patterns and workflows for hierarchical/multilevel Bayesian modeling, including random effects, partial pooling, and centered vs non-centered parameterizations.
Core Features & Use Cases
- Structured parameterizations for centered and non-centered approaches in Stan and JAGS.
- Guidance for modeling nested/grouped data and meta-analytic contexts with study-level variation.
- Diagnostics considerations and classic examples (e.g., the Eight Schools).
Quick Start
Run an eight-schools example in Stan to observe centering effects on group estimates.
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: hierarchical-models Download link: https://github.com/choxos/BiostatAgent/archive/main.zip#hierarchical-models Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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