This R package accompanies Richard McElreath’s Statistical Rethinking (2nd edition), offering utilities to fit and compare Bayesian models using both MAP estimation (quap) and Hamiltonian Monte Carlo via RStan (ulam). It supports specifying models via explicit distributional assumptions, providing flexibility for advanced statistical workflows.
Features
- Tools for MAP and HMC Bayesian inference (via quap and ulam)
- Requires explicit specification of model distributions (more flexible than formula-based syntax)
- Utilities for diagnostics, posterior analysis, and model comparison
- Integrates with RStan for sampling-based inference
- Supports workflows in Jupyter or RMarkdown for teaching and reproducibility
- Regularly updated to align with editions of the textbook
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