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 |
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Maintainer | Daniel Lüdecke <d.luedecke@uke.de> |
License | MIT + file LICENSE |
Version | 2.0.0.7 |
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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