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.
- Version0.25.0
- R versionR (≥ 3.6.0)
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Languageen-US
- marginaleffects citation info
- Last release02/01/2025
Documentation
Team
Vincent Arel-Bundock
MaintainerShow author detailsNoah Greifer
Andrew Heiss
Grant McDermott
Etienne Bacher
Insights
Last 30 days
This package has been downloaded 21,951 times in the last 30 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 1,195 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 179,358 times in the last 365 days. This is the kind of download count that makes grant committees nod approvingly. A job well done, even the stoic reviewers might be impressed! The day with the most downloads was Sep 10, 2024 with 1,533 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports6 packages
- Suggests141 packages
- Linking To2 packages
- Reverse Imports7 packages
- Reverse Suggests19 packages