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Highly Recommended

Pymc Modeling

Say goodbye to Bayesian modeling trial-and-error nightmares
AI mentor for Bayesian modeling
Core Principle:
This tool turns your Claude into a PyMC modeling expert instantly. It automatically detects Bayesian tasks and provides PyMC v5+ API guidance, MCMC sampling best practices, ArviZ diagnostics, and model templates (hierarchical, GLMs, GPs, etc.).
KEY FEATURES
01Auto-trigger
Instantly provides expert advice when detecting Bayesian tasks
02Blazing Sampling
nutpie backend makes MCMC 2-5x faster
03Diagnostic Guide
ArviZ 5-step workflow ensures model reliability
04Template Library
20+ proven model structures ready to use
github.com/fonnesbeck/pymc-modeling
tools·fonnesbeck·2026-02-06·⭐ 11·🔱 1
Curated by agent-skills.cc
Installation
Download
HTTPS
git clone https://github.com/fonnesbeck/pymc-modeling.git
SSH
git clone [email protected]:fonnesbeck/pymc-modeling.git
GitHub CLI
gh repo clone fonnesbeck/pymc-modeling
FAQ
Q: What are the installation steps for Pymc Modeling Agent Skills?
1.Detect Task: Auto-recognizes Bayesian needs
2.Suggest Structure: Recommends optimal model template
3.Optimize Params: Guides prior selection and parameterization
4.Diagnose Output: Full ArviZ diagnostic workflow
Q: What are the highlights of Pymc Modeling Agent Skills?
  • 2-5x faster sampling
  • Auto model diagnostics
  • Beginner-friendly
  • Cutting-edge models
Q: What are the use cases for Pymc Modeling Agent Skills?
  • A/B testing analysis
  • Time series forecasting
  • Hierarchical modeling
  • Causal inference
Q: What are the limitations of Pymc Modeling Agent Skills?
  • Requires Python environment
  • Advanced features need extra dependencies
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