---
title: "Learning resources"
output: 
  rmarkdown::html_vignette:
    toc: true
vignette: >
  \usepackage[utf8]{inputenc}
  %\VignetteIndexEntry{Learning resources}
  %\VignetteEngine{knitr::rmarkdown}
---

```{r message=FALSE, warning=FALSE, include=FALSE}
options(
  knitr.kable.NA = "",
  digits = 2
)

knitr::opts_chunk$set(
  comment = ">",
  dpi = 450,
  message = FALSE,
  warning = FALSE
)
```

## Introduction

One of the best resources to learn about functionality afforded by `easystats` package is to read the dedicated websites for each package. A lot of love and work has gone into writing detailed function documentation and vignettes for these websites and we will highly recommend you check them out.

But, we are certainly not the only ones talking about them, and below are some other resources that might be helpful for you to learn about `easystats` packages.

## YouTube videos

### `{performance}` package:

- [Package review (Yury Zablotski)](https://www.youtube.com/watch?v=EPIxQ5i5oxs)

- [easystats: Quickly investigate model performance](https://www.youtube.com/watch?v=Bi8sHIo3s1Y)

### `{report}` package:
  
- [Automate Textual Reports of Statistical Models in R!](https://www.youtube.com/watch?v=_ypkrGyqyZ4)  


## Presentations

### `{bayestestR}` package:

 - [Evaluating Evidence and Making Decisions using Bayesian Statistics (Mattan S. Ben-Shachar)](https://mattansb.github.io/bayesian-evidence/)
