Bayesian modeling and probabilistic programming with PyMC 6 and ArviZ 1.x — hierarchical models, MCMC (NUTS via PyMC, nutpie, NumPyro, or BlackJAX), variational inference, PSIS-LOO model comparison, and prior/posterior predictive checks.
安装
npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-pymcnpx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-pymc -a claude-code -gnpx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-pymc -a codex -ggemini skills install https://github.com/AlterLab-IEU/AlterLab-Academic-Skills.git --path skills/data-science/alterlab-pymcgh skill install AlterLab-IEU/AlterLab-Academic-Skills alterlab-pymcgit clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-Skills /tmp/AlterLab-IEU__AlterLab-Academic-Skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/AlterLab-IEU__AlterLab-Academic-Skills/skills/data-science/alterlab-pymc ~/.claude/skills/alterlab-pymc # Claude Code
cp -R /tmp/AlterLab-IEU__AlterLab-Academic-Skills/skills/data-science/alterlab-pymc ~/.agents/skills/alterlab-pymc # Codex, Cursor, Gemini CLI, Copilot, OpenCode