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README.md
In marginaleffects: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests
The marginaleffects package for R 
marginaleffects allows users to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical models. It can conduct linear and non-linear hypothesis tests, or equivalence tests, and calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference.
The marginaleffects
book (website) includes
a “Get
started”
page, and over 25 chapters full of tutorials, case studies, and technical notes.
Try the marginaleffects package in your browser
Any scripts or data that you put into this service are public.
marginaleffects documentation built on Oct. 20, 2023, 1:07 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
The marginaleffects package for R
marginaleffects allows users to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical models. It can conduct linear and non-linear hypothesis tests, or equivalence tests, and calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference.
The marginaleffects
book (website) includes
a “Get
started”
page, and over 25 chapters full of tutorials, case studies, and technical notes.
Try the marginaleffects package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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