brms workshop

Hello world!

Hi! Welcome to the Bayesian regression modelling using Stan, R and brms workshop.

Learning objectives

Our aim is to understand

• Bayesian modelling workflow
  • How to apply it in practice with R and brms
• How to translate (mathematical) models to R and brms syntax
• Estimating, interpreting, checking, and communicating a variety of specific regression models with brms, including
  • General(ized) (non)Linear Models with R & brms
  • Multilevel mediation
    • Multivariate models
    • Multilevel models
      • -> Multilevel mediation
  • Ordinal models
• If we have time, we will also dive into the Stan language

Our focus is on applications of these techniques to build a working knowledge, further readings are referenced for a more in-depth understanding.

This workshop should provide you with a working knowledge, and confidence, to

• Implement the models on your own data
• Visualize and communicate your findings

Workshop materials

This workshop’s materials are written in RMarkdown, so you can download the source code and follow along on your own computer. We assume some familiarity with R, and recommend the RStudio IDE.

To get started, download the materials from https://github.com/mvuorre/brms-workshop, extract the package to your location of choice, and double click the brms-workshop.Rproj to open up an RStudio session in that directory. Alternatively, use this R command to download the files and open up the project:

# install.packages("usethis")  # Install if you don't have it
usethis::use_course("mvuorre/brms-workshop")

The materials of this workshop are collected as a Distill website: Each lesson’s materials can be found under the _posts/ directory. To run the computations on your computer, open the relevant .Rmd file (with the brms-workshop project active in RStudio). The website is at https:/mvuorre.github.io/brms-workshop