Statistical Rethinking: A Bayesian Course with Examples in R and STAN (2nd Ed.).

In this book review, I offer a chapter-by-chapter recension and general comments about Richard McElreath's second edition of Statistical Rethinking: A Bayesian Course with Examples in R and STAN. Two examples of linear regression modeling and the generalized linear model with the book's own R package rethinking highlight the flexibility and usefulness of considering the Bayesian approach to statistical modeling advertised by McElreath. [ABSTRACT FROM AUTHOR]