---
title: "Documentation of the ggeffects package"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{Documentation of the ggeffects package}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

```{r set-options, echo = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  dev = "png",
  fig.width = 7,
  fig.height = 3.5,
  message = FALSE, warning = FALSE)
options(width = 800)
```

The documentation of the *ggeffects* package, including many examples, is [available online](https://strengejacke.github.io/ggeffects/). Here you can find the content of the available documents. Click on a link to visit the related website.

## General introductions into the *ggeffects* package

- [Adjusted Predictions of Regression Models](https://strengejacke.github.io/ggeffects/articles/ggeffects.html)
- [Adjusted Predictions at Specific Values](https://strengejacke.github.io/ggeffects/articles/introduction_effectsatvalues.html)
- [Adjusted Predictions for Random Effects Models](https://strengejacke.github.io/ggeffects/articles/introduction_randomeffects.html)
- [(Cluster) Robust Standard Errors](https://strengejacke.github.io/ggeffects/articles/practical_robustestimation.html)

## Interpretation and Significance Testing

- [Contrasts and Pairwise Comparisons](https://strengejacke.github.io/ggeffects/articles/introduction_comparisons_1.html)
- [Floodlight and Spotlight Analysis (Johnson-Neyman Intervals)](https://strengejacke.github.io/ggeffects/articles/introduction_comparisons_2.html)
- [Contrasts and Pairwise Comparisons for GLM](https://strengejacke.github.io/ggeffects/articles/introduction_comparisons_3.html)
- [Contrasts and Pairwise Comparisons for Zero-Inflation Models](https://strengejacke.github.io/ggeffects/articles/introduction_comparisons_4.html)
- [Different Backends for Pairwise Comparisons](https://strengejacke.github.io/ggeffects/articles/introduction_comparisons_5.html)
- [Adding Partial Residuals to Effects Plots](https://strengejacke.github.io/ggeffects/articles/introduction_partial_residuals.html)

## Creating and customizing plots and tables

- [Plotting Adjusted Predictions](https://strengejacke.github.io/ggeffects/articles/introduction_plotmethod.html)
- [Customize Plot Appearance](https://strengejacke.github.io/ggeffects/articles/introduction_plotcustomize.html)
- [Customize Table Appearance](https://strengejacke.github.io/ggeffects/articles/introduction_print.html)

## Case Studies

- [Simple Workflow using Logistic Regression](https://strengejacke.github.io/ggeffects/articles/practical_glm_workflow.html)
- [Logistic Mixed Effects Model with Interaction Term](https://strengejacke.github.io/ggeffects/articles/practical_logisticmixedmodel.html)
- [Intersectionality Analysis using the MAIHDA Framework](https://strengejacke.github.io/ggeffects/articles/practical_intersectionality.html)
- [Comparison of ggeffects and marginaleffects](https://strengejacke.github.io/ggeffects/articles/practical_marginaleffects_pkg.html)

## Technical details

- [Adding own class-methods to ggeffects](https://strengejacke.github.io/ggeffects/articles/technical_get_predictions.html)
- [Difference between Marginalization Methods](https://strengejacke.github.io/ggeffects/articles/technical_differencepredictemmeans.html)
- [Different Output between Stata and ggeffects](https://strengejacke.github.io/ggeffects/articles/technical_stata.html)