ggeffects 2.3.0
  • News
  • Reference
  • Introductions
    • Adjusted predictions of regression models
    • Adjusted predictions at specific values
    • Adjusted predictions for mixed models
    • (Cluster) Robust standard errors
  • Plotting and Printing
    • Plotting adjusted predictions
    • Customize plot appearance
    • Customize table appearance
  • Case Studies
    • Simple workflow using logistic regression
    • Logistic mixed effects Model with interaction term
    • Intersectionality analysis using the MAIHDA framework
    • Comparison of ggeffects and marginaleffects
  • Technical Details
    • Adding own class-methods to ggeffects
    • Difference between marginalization methods
    • Different Output between Stata and ggeffects

Documentation of the ggeffects package

Source: vignettes/content.Rmd
content.Rmd

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

Creating and customizing plots and tables

  • Plotting Adjusted Predictions
  • Customize Plot Appearance
  • Customize Table Appearance

Case Studies

  • Simple Workflow using Logistic Regression
  • Logistic Mixed Effects Model with Interaction Term
  • Intersectionality Analysis using the MAIHDA Framework
  • Comparison of ggeffects and marginaleffects

Technical details

  • Adding own class-methods to ggeffects
  • Difference between Marginalization Methods
  • Different Output between Stata and ggeffects

Developed by Daniel Lüdecke.

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