Model to Meaning

In marginaleffects: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests

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The marginaleffects.com website includes detailed documentation for both the R and Python versions of the marginaleffects package.

It also includes a complete free version of this forthcoming book

Model to Meaning: How to Interpret Statistical Results Using marginaleffects for R and Python. Arel-Bundock, Vincent. CRC Chapman & Hall.

In addition to full book chapters, marginaleffects.com includes a lot of bonus content. In total, there are over 40 detailed vignettes and tutorials, including:

1. Home
2. Who is this website for?
3. Quick start
4. Interpretation
5. Models and meaning
6. Conceptual framework
7. Quantities and Tests
8. Hypothesis and equivalence tests
9. Predictions
10. Counterfactual comparisons
11. Slopes
12. Case Studies
13. G-Computation
14. Experiments
15. Interactions, polynomials, and splines
16. Categorical and ordinal outcomes
17. Multilevel regression with post-stratification
18. Machine learning
19. Uncertainty
20. Bonus Content
21. Help
22. FAQ
23. Plots
24. Alternative Software
25. Bayes
26. Elasticity
27. Extensions
28. GAM
29. Heterogeneity
30. Inverse Probability Weighting
31. Links
32. Logit
33. Marginal Means
34. Matching
35. Meme gallery
36. NumPyro
37. Performance
38. Supported Models
39. S Values
40. Tables
41. Back Matter
42. Bibliography
43. Citation and License

marginaleffects documentation built on April 4, 2025, 4:36 a.m.