What is pymc-bayesian-modeling?
Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference. Source: ovachiever/droid-tings.
·pymc-bayesian-modeling
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pymc-bayesian-modeling
✓Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.
Installation
How to Install pymc-bayesian-modeling
Quickly install pymc-bayesian-modeling AI skill to your development environment via command line
- Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
- Run Installation Command: Copy and run this command: npx skills add https://github.com/ovachiever/droid-tings --skill pymc-bayesian-modeling
- Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
Source: ovachiever/droid-tings.
SKILL.md
View rawPyMC is a Python library for Bayesian modeling and probabilistic programming. Build, fit, validate, and compare Bayesian models using PyMC's modern API (version 5.x+), including hierarchical models, MCMC sampling (NUTS), variational inference, and model comparison (LOO, WAIC).
Critical: Always use non-centered parameterization for hierarchical models to avoid divergences.
See: references/distributions.md for comprehensive distribution reference
Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference. Source: ovachiever/droid-tings.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/ovachiever/droid-tings --skill pymc-bayesian-modeling- Source
- ovachiever/droid-tings
- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-03-03
- Updated
- 2026-03-10
Quick answers
How do I install pymc-bayesian-modeling?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/ovachiever/droid-tings --skill pymc-bayesian-modeling Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
Where is the source repository?
https://github.com/ovachiever/droid-tings
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-03-03