The 2023 edition modernizes and expands on the same curriculum, adjusting exercises and code for newer versions of R, Stan, and supporting packages. It continues to provide scripts for lectures and tutorials, while integrating refinements to examples, notation, and computational workflows introduced that year. Compared with 2022, some models are rewritten for clarity, and teaching materials reflect refinements in McElreath’s evolving presentation of Bayesian data analysis. Students following the 2023 lecture videos use this repository as their coding reference. There are 10 weeks of instruction. Links to lecture recordings will appear in this table. Weekly problem sets are assigned on Fridays and due the next Friday, when we discuss the solutions in the weekly online meeting.
Features
- Updated R and Stan code examples for 2023
- Adjusted exercises with clearer workflows and improved teaching clarity
- Integration with updated versions of packages and tools
- Revised lecture code reflecting McElreath’s newer presentations
- Structured to parallel the 2023 video course series
- Continuity with earlier repos while refining technical details
Project Samples
