Model to Meaning

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 Models with R and Python. Arel-Bundock, Vincent. 2026. 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
   • Models and meaning
   • Conceptual framework
5. Quantities and Tests
   • Hypothesis and equivalence tests
   • Predictions
   • Counterfactual comparisons
   • Slopes
6. Case Studies
   • G-Computation
   • Experiments
   • Interactions, polynomials, and splines
   • Categorical and ordinal outcomes
   • Multilevel regression with post-stratification
   • Machine learning
   • Uncertainty
7. Tutorials
   • Plots
   • Bayes
   • Bootstrap
   • Conjoint Experiments
   • Data grids
   • Elasticity
   • GAM
   • Heterogeneity
   • Interrupted Times Series
   • Inverse Probability Weighting
   • Links
   • Logit
   • Matching
   • Missing Data
   • Mixed Effects
   • Multinomial Logit
   • Performance
   • Power Analysis
   • S Values
   • Scikit-learn
   • Survival Analysis
   • Total Marginal Effects
8. Miscellaneous
   • Help
   • Alternative Software
   • Extensions
   • FAQ
   • Meme gallery
   • Supported Models
   • Tables
9. Citation and License