pymc-modeling
๐ฏSkillfrom pymc-labs/python-analytics-skills
A Bayesian statistical modeling skill for PyMC v5+ covering model specification, MCMC inference with nutpie and NumPyro backends, ArviZ diagnostics, hierarchical models, GLMs, Gaussian processes, BART, and time series analysis.
Same repository
pymc-labs/python-analytics-skills(3 items)
Installation
npx vibeindex add pymc-labs/python-analytics-skills --skill pymc-modelingnpx skills add pymc-labs/python-analytics-skills --skill pymc-modeling~/.claude/skills/pymc-modeling/SKILL.mdSKILL.md
More from this repository2
A skill for testing PyMC Bayesian models with pytest, covering mock sampling via pymc.testing.mock_sample for fast CI/CD-friendly structure tests, pytest fixtures, and the distinction between mock-based structure checks and real MCMC posterior inference tests.
Part of a Python analytics skills collection providing specialized knowledge for Bayesian modeling with PyMC v5+, PyMC model testing with pytest, and reactive Python notebooks with marimo including UI components, SQL integration, and caching.