mcmc-sampling-stan
OfficialStan-based MCMC with rigorous diagnostics.
Authorletta-ai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill guides Bayesian modeling and MCMC sampling using Stan (RStan or PyStan), including model specification, diagnostics, and sampling configuration.
Core Features & Use Cases
- Environment setup: Verify Stan toolchains and compilers.
- Model specification: Write data, parameters, and model blocks with priors.
- Diagnostics: Essential checks (R-hat, ESS, divergences, treedepth, energy).
Quick Start
Example: fit a Stan model with 4 chains, check R-hat < 1.01 and ESS > 400, and address any divergences.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
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Please help me install this Skill: Name: mcmc-sampling-stan Download link: https://github.com/letta-ai/skills/archive/main.zip#mcmc-sampling-stan Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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