marginaleffects
Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests
Compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and machine learning models in R. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference. Details can be found in Arel-Bundock, Greifer, and Heiss (2024) doi:10.18637/jss.v111.i09.
- Version0.24.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Languageen-US
- marginaleffects citation info
- Last release11/25/2024
Documentation
Team
Vincent Arel-Bundock
MaintainerShow author detailsNoah Greifer
Andrew Heiss
Grant McDermott
Etienne Bacher
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- Imports6 packages
- Enhances1 package
- Suggests137 packages
- Linking To2 packages
- Reverse Imports6 packages
- Reverse Suggests15 packages