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'.
Package details 


Maintainer  Daniel Lüdecke <d.luedecke@uke.de> 
License  MIT + file LICENSE 
Version  1.6.0.1 
URL  https://strengejacke.github.io/ggeffects/ 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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