Articles
All vignettes
- Documentation of the ggeffects package
- ggeffects: Marginal Means and Adjusted Predictions of Regression Models
- Significance Testing of Differences Between Predictions I: Contrasts and Pairwise Comparisons
- Significance Testing of Differences Between Predictions II: Comparisons of Slopes, Floodlight and Spotlight Analysis (Johnson-Neyman Intervals)
- Significance Testing of Differences Between Predictions III: Contrasts and Comparisons for Generalized Linear Models
- Introduction: Adjusted Predictions and Marginal Means at Specific Values
- Introduction: Adding Partial Residuals to Adjusted Predictions Plots
- Introduction: Customize Plot Appearance
- Introduction: Plotting Adjusted Predictions and Marginal Means
- Introduction: Customizing Table Output
- Introduction: Adjusted Predictions and Marginal Effects for Random Effects Models
- Case Study: Intersectionality analysis using the MAIHDA framework
- Case Study: Logistic Mixed Effects Model with Interaction Term
- Case Study: Predictions for Mixed Models: Comparison of ggeffects and marginaleffects
- Case Study: (Cluster) Robust Standard Errors
- Technical Details: Difference between marginalization methods: the `margin` argument
- Technical Details: Different Output between Stata and ggeffects