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'.
- Version1.7.2
- R version≥ 3.6
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?No
- ggeffects citation info
- Last release10/13/2024
Documentation
Team
Daniel Lüdecke
Frederik Aust
Sam Crawley
Mattan S. Ben-Shachar
Sean C. Anderson
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- Depends1 package
- Imports3 packages
- Suggests65 packages
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- Reverse Suggests8 packages