Documentation of the ggeffects package"

In ggeffects: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs

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. 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
• Definition of Marginal Effects
• Adjusted Predictions at Specific Values
• Adjusted Predictions for Random Effects Models
• (Cluster) Robust Standard Errors

Interpretation and Significance Testing

• Contrasts and Pairwise Comparisons
• Floodlight and Spotlight Analysis (Johnson-Neyman Intervals)
• Contrasts and Pairwise Comparisons for GLM
• Adding Partial Residuals to Effects Plots

Creating and customizing plots

• Plotting Adjusted Predictions
• Customize Plot Appearance

Working examples

• Logistic Mixed Effects Model with Interaction Term
• Intersectionality analysis using the MAIHDA framework

Technical details

• Difference between ggpredict() and ggemmeans()
• Different output between Stata and ggeffects

ggeffects documentation built on Oct. 17, 2023, 5:07 p.m.