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The 2024 repository is the most recent version of the course, reflecting ongoing refinements in pedagogy, statistical modeling techniques, and coding practices. It provides updated notebooks, R scripts, and model examples, some streamlined and restructured compared to previous years. The 2024 repo also highlights the transition toward more robust Stan models and integration with newer Bayesian workflow practices, continuing to emphasize accessibility for learners while modernizing the tools. This version is designed for students following the 2024 lecture series, offering the most current set of examples, exercises, and teaching material aligned with the Statistical Rethinking framework. Online, flipped instruction. I will pre-record the lectures each week. We'll meet online once a week for an hour to discuss the material. The discussion time (3-4pm Berlin Time) should allow people in the Americas to join in their morning.
Features
- Latest lecture-aligned materials for the 2024 series
- Updated R/Stan code reflecting current best practices in Bayesian modeling
- Streamlined workflows and revised exercises for clarity
- Stronger emphasis on robust and modern Bayesian workflows
- Companion notebooks and scripts for reproducibility
- Represents the most current evolution of McElreath’s teaching approach
Project Samples
