strengejacke/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'.

Getting started

Package details

MaintainerDaniel L├╝decke <d.luedecke@uke.de>
LicenseMIT + file LICENSE
Version1.6.0.1
URL https://strengejacke.github.io/ggeffects/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("strengejacke/ggeffects")
strengejacke/ggeffects documentation built on May 28, 2024, 8:26 p.m.