ggeffects
Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
Compute marginal effects and adjusted predictions from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Effects and predictions can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.
- Version2.2.0
- R versionR (≥ 3.6)
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- ggeffects citation info
- Last release02/05/2025
Documentation
Team
Daniel Lüdecke
MaintainerShow author detailsMattan S. Ben-Shachar
Frederik Aust
Sean C. Anderson
Sam Crawley
Insights
Last 30 days
This package has been downloaded 38,572 times in the last 30 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 587 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 377,653 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 Mar 12, 2025 with 2,419 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
- Imports2 packages
- Suggests75 packages
- Reverse Imports4 packages
- Reverse Suggests7 packages