Published October 19, 2019 | Version v1
Lesson Open

Tutorial: Bayesian Regression in Blavaan (using Jags)

  • 1. Utrecht University

Description

This tutorial provides the reader with a basic tutorial how to perform a Bayesian regression in Blavaan. Throughout this tutorial, the reader will be guided through importing data files, exploring summary statistics and regression analyses. Here, we will exclusively focus on Bayesian statistics.

In this tutorial, we start by using the default prior settings of the software. In a second step, we will apply user-specified priors, and if you really want to use Bayes for your own data, we recommend to follow the WAMBS-checklist, also available in other software.

Notes

Since we continuously improve the tutorials, let us know via Github (https://github.com/Rensvandeschoot/Tutorials) if you discover mistakes, or if you have additional resources we can refer to.

Files

Files (714.2 kB)

Name Size Download all
md5:50719aed65f0cbb440403e7566d6460a
714.2 kB Download

Additional details

Related works

References
Dataset: 10.5281/zenodo.3962123 (DOI)