Fixed and Random Effects Models: A Simulated Study

In this notebook we reproduce the fantastic material from the video Statistical Rethinking 2026 Lecture B04 - Group-level confounding and intro to social networks by Richard McElreath. This is a great video to understand the difference between fixed and random effects models. It is a must watch! Here we use PyMC to fit the models and compare the results. &#xA; &#xA; &#xA; &#xA; &#xA; &#xA; The…