# 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