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Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.

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There is an issue with the "total_effect_gender_model" in the chapter 11 notebook. The problem arises because the coord for "GENDER" and the data container for "GENDER_ID" use the same name...

TROLLEY['education_level'] = TROLLEY.edu.map(EDUCUATION_MAP) TROLLEY['education'] = TROLLEY.education_level.map(EDUCUATION_MAP_R) These two lines of code give all "nas" im using python 3.12.4 with the pymc kernel in VS code This code also does not...