Brms

Notes from the Kölner R meeting, 26 February 2016

Last Friday the Cologne R user group came together for the 17th time. This time, we were in for a special treatment, with two talks by psychologists! But, there was nothing to fear, we were in safe hands, and for the first time, we met at the new Microsoft office in Cologne. Lecture room at Microsoft, Cologne First up was Meik Michalke from the University of Düsseldorf presenting the RKWard project.

Bayesian regression models using Stan in R

It seems the summer is coming to end in London, so I shall take a final look at my ice cream data that I have been playing around with to predict sales statistics based on temperature for the last couple of weeks [1], [2], [3]. Here I will use the new brms (GitHub, CRAN) package by Paul-Christian Bürkner to derive the 95% prediction credible interval for the four models I introduced in my first post about generalised linear models.