Example 2: Confirmation of Bayesian skills

• Logistic Model
  • Make some figures
  • Diagnostic Indices
• Mixed Model
  • Priors

This vignette can be referred to by citing the package:

• Makowski, D., Ben-Shachar M. S. & Lüdecke, D. (2019). Understand and Describe Bayesian Models and Posterior Distributions using bayestestR. Available from https://github.com/easystats/bayestestR. DOI: 10.5281/zenodo.2556486.

Now that describing and understanding posterior distributions of linear regressions has no secrets for you, let’s go deeper.

“But it’s only about regressions and I want to do ANOVAs and t-tests”

Don’t worry. Let us all remind and appreciate the fact that all basic statistical pocedures such as t-tests, ANOVAs, correlations or Chisquare tests are linear regressions. Now that we have accepted the beauty of it, we will continue with a general linear model.

Logistic Model

Make some figures

Visualization.

Diagnostic Indices

About diagnostic indices such as Rhat and ESS.

Mixed Model

Priors

About priors.