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Using the Bayesian Workflow

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End-to-end Bayesian modeling workflow.

Data & Analytics#workflow#diagnostics#mcmc#bayesian#priors#posterior-predictive
Authorjg-you
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill provides a comprehensive, structured workflow for building and validating Bayesian models, reducing guesswork and ensuring rigorous checks from data understanding to reporting.

Core Features & Use Cases

  • End-to-end Bayesian workflow guidance covering data understanding, model specification, priors, simulation, fitting, diagnostics, PPC, and reporting.
  • Spawns guardrails and decision points, including when to revisit priors, run diagnostics, or perform model comparison.
  • Use cases include data analysts building Stan/JAX models, researchers validating priors, and teams producing robust Bayesian analyses.

Quick Start

Provide a dataset and ask Claude to initiate Step 0 to understand data and goals, then proceed through the complete workflow.

Dependency Matrix

Required Modules

None required

Components

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: Using the Bayesian Workflow
Download link: https://github.com/jg-you/bayesian-workflow/archive/main.zip#using-the-bayesian-workflow

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