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

ABSTRACT

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.

KEYWORDS:

• Statistical inference
• Bayesian statistics
• causal inference
• measurement modeling
• R
• Stan

Declaration of Interest

The author declares no conflict of interest.