References

This package is based on:

  1. McElreath: Statistical Rethinking 2nd edition

There is no shortage of additional good books on Bayesian statistics. A few of my favorites are:

  1. Bolstad: Introduction to Bayesian statistics

  2. Bolstad: Understanding Computational Bayesian Statistics

  3. Gelman, Hill: Data Analysis Using Regression and Multilevel/Hierarchical Models

  4. Kruschke: Doing Bayesian Data Analysis

  5. Lee, Wagenmakers: Bayesian Cognitive Modeling

  6. Gelman, Carlin, and others: Bayesian Data Analysis

  7. Causal Inference in Statistics - A Primer

  8. Betancourt: A Conceptual Introduction to Hamiltonian Monte Carlo

  9. Pearl, Mackenzie: The Book of Why

Special mention is appropriate for the new book:

  1. Gelman, Hill, Vehtari: Rgression and other stories

which in a sense is a major update to item 4. above.