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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>.
Getting started
Browse package contents
Package details |
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| Author | Vincent Arel-Bundock [aut, cre, cph] (<https://orcid.org/0000-0003-2042-7063>), Noah Greifer [ctb] (<https://orcid.org/0000-0003-3067-7154>), Etienne Bacher [ctb] (<https://orcid.org/0000-0002-9271-5075>), Grant McDermott [ctb] (<https://orcid.org/0000-0001-7883-8573>), Andrew Heiss [ctb] (<https://orcid.org/0000-0002-3948-3914>) |
| Maintainer | Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca> |
| License | GPL (>= 3) |
| Version | 0.25.1 |
| URL | https://marginaleffects.com/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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