##### https://github.com/cran/bayestestR

Tip revision:

**9985109256c08d654edb46adb9cb20c913fb1888**authored by**Dominique Makowski**on**29 May 2019, 14:10 UTC****version 0.2.0** Tip revision:

**9985109** example2.Rmd

```
---
title: "Example 2: Confirmation of Bayesian skills"
output:
github_document:
toc: true
fig_width: 10.08
fig_height: 6
rmarkdown::html_vignette:
toc: true
fig_width: 10.08
fig_height: 6
tags: [r, bayesian, posterior, test]
vignette: >
\usepackage[utf8]{inputenc}
%\VignetteIndexEntry{Example 2: Confirmation of Bayesian skills}
%\VignetteEngine{knitr::rmarkdown}
editor_options:
chunk_output_type: console
bibliography: bibliography.bib
---
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](https://zenodo.org/record/2556486).
---
```{r message=FALSE, warning=FALSE, include=FALSE}
library(knitr)
options(knitr.kable.NA = '')
knitr::opts_chunk$set(comment=">")
options(digits=2)
set.seed(333)
```
Now that [**describing and understanding posterior distributions of linear regressions**](https://easystats.github.io/bayestestR/articles/example1.html) 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**](https://lindeloev.github.io/tests-as-linear/). 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.
```