# 3. Become a Bayesian master

This vignette can be referred to by citing the package:

- Makowski, D., Ben-Shachar, M. S., & Lüdecke, D. (2019). bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework. Journal of Open Source Software, 4(40), 1541. https://doi.org/10.21105/joss.01541

Yoda Bayes (896 BBY - 4 ABY).

## Mixed Models

TO BE CONTINUED.

### Priors

TO BE CONTINUED.

## What’s next?

The journey to become a true Bayesian master is not yet over. It is merely the beginning. It is now time to leave the `bayestestR` universe and apply the Bayesian framework in a variety of other statistical contexts:

- Marginal means
- Contrast analysis
- Testing Contrasts from Bayesian Models with ‘emmeans’ and ‘bayestestR’