---
title: "Overview of Vignettes"
output: 
  rmarkdown::html_vignette:
vignette: >
  %\VignetteIndexEntry{Overview of Vignettes}
  \usepackage[utf8]{inputenc}
  %\VignetteEngine{knitr::rmarkdown}
editor_options: 
  chunk_output_type: console
---

```{r message=FALSE, warning=FALSE, include=FALSE}
library(knitr)
knitr::opts_chunk$set(
  echo = TRUE,
  collapse = TRUE,
  warning = FALSE,
  message = FALSE,
  comment = "#>",
  eval = TRUE
)
```

All package vignettes are available at [https://easystats.github.io/modelbased/](https://easystats.github.io/modelbased/).

## Function Overview

* [Function Reference](https://easystats.github.io/modelbased/reference/index.html)

## Articles

* [Interpret simple and complex models using the power of Effect Derivatives](https://easystats.github.io/modelbased/articles/derivatives.html)
* [Model and describe non-linear relationships](https://easystats.github.io/modelbased/articles/describe_nonlinear.html)
* [Contrast analysis](https://easystats.github.io/modelbased/articles/estimate_contrasts.html)
* [How to use Mixed models to Estimate Individuals' Scores](https://easystats.github.io/modelbased/articles/estimate_grouplevel.html)
* [What are, why use and how to get marginal means](https://easystats.github.io/modelbased/articles/estimate_means.html)
* [Visualize effects and interactions](https://easystats.github.io/modelbased/articles/estimate_relation.html)
* [Use a model to make predictions](https://easystats.github.io/modelbased/articles/estimate_response.html)
* [Marginal effects and derivatives](https://easystats.github.io/modelbased/articles/estimate_slopes.html)
* [The Modelisation Approach to Statistics](https://easystats.github.io/modelbased/articles/modelisation_approach.html)
* [Transformations](https://easystats.github.io/modelbased/articles/transformations.html)
* [Data grids](https://easystats.github.io/modelbased/articles/visualisation_matrix.html)
