8 Introduction to PART II
Further reading
A really good introductory book to Bayesian data analyses is (McElreath 2016). This book starts with a thorough introduction to applying the Bayes theorem for drawing inference from data. In addition, it carefully discusses what can and what cannot be concluded from statistical results. We like this very much.
The developer of the brms package, Paul Bürkner, is writing a book that is already partly available online. It is a helpful cookbook with understandable explanations. We very much look forward to the finished book, that may bundle all the helpful vignettes and help-files to the functions of the brmspackage.
We like looking up statistical methods in papers and books written by Andrew Gelman (e.g. A. Gelman et al. 2014b) and Trevor Hastie (e.g. Efron and Hastie (2016)) because both explain complicated things in a concise and understandable way.