Our workshop introduces the logic of Bayesian inference and contrast it to null-hypothesis-significance-testing. After providing a brief conceptual introduction, the course will walk through a Bayesian statistical analysis using R and the package brms (Bürkner 2017).
We will explain how to set up a Bayesian regression model (including setting appropriate priors), how to test 'hypotheses' (including parameter estimation and Bayes factor), how to interpret the results, how to diagnose model convergence, and how to visualize and report the results. In hands-on exercises, the participants will immediately apply their knowledge to new data sets in R.
University of Oslo