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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 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
   • Models and meaning
   • Tools and data
   • Conceptual framework
5. Quantities and Tests
   • Hypothesis and equivalence tests
   • Predictions
   • Counterfactual comparisons
   • Slopes
6. Case Studies
   • Interactions, polynomials, and splines
   • Categorical and ordinal outcomes
   • Experiments
   • Mixed effects regression and post-stratification
   • Machine learning
   • Uncertainty
7. Bonus Content
   • Help
   • FAQ
   • Plots
   • Alternative Software
   • Bayes
   • Elasticity
   • Extensions
   • GAM
   • G-Computation
   • Heterogeneity
   • Inverse Probability Weighting
   • Links
   • Logit
   • Marginal Means
   • Matching
   • Meme gallery
   • Multiple Comparisons
   • NumPyro
   • Performance
   • Supported Models
   • S Values
   • Tables
8. Back Matter
   • Bibliography
9. Citation and License

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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