This is a short tutorial on regression (linear, logistic, with random effects) inspired by a tutorial article by Sorensen, Hohenstein, and Vasishth. The Sorensen et al. tutorial uses STAN, while this uses WebPPL.
The tutorial can be walked through in R / RStudio following regression.Rmd. We use the R package RWebPPL to access WebPPL. See the RWebPPL page for details about system requirements.
This tutorial was originally used in a course on Bayesian data analysis, taught in the Summer of 2016. More about this course can be found here.