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stan-fundamentals

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Foundational Stan knowledge for building models.

Data & Analytics#data-analysis#stan#statistical-modeling#probabilistic-programming#bayesian-inference#cmdstanr
Authorchoxos
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Foundational knowledge for writing Stan 2.37 models including program structure, type system, distributions, and best practices. Use when creating or reviewing Stan models.

Core Features & Use Cases

  • Block structure familiarity: Stan model blocks (functions, data, transformed data, parameters, transformed parameters, model, generated quantities) in exact order, with empties allowed.
  • Type system and distributions: quick references for scalar, vector, matrix types and common priors and likelihoods.
  • Practical workflow patterns: vectorization, non-centered parameterization, target syntax, and model diagnostics.
  • R integration: using cmdstanr to compile and sample models from R.

Quick Start

Provide a concise Stan primer highlighting program structure, data types, and common distributions to help you start writing a Stan model.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: stan-fundamentals
Download link: https://github.com/choxos/BiostatAgent/archive/main.zip#stan-fundamentals

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