R package ggeffects: Create Tidy Data Frames of Marginal Effects for ’ggplot’ from Model Outputs. Compute marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the ’ggplot2’-package. Marginal effects 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’.
Keywords for this software
References in zbMATH (referenced in 3 articles , 1 standard article )
Showing results 1 to 3 of 3.
- van der Nest, Gavin; Passos, Valeria Lima; Candel, Math J. J. M.; van Breukelen, Gerard J. P.: Model fit criteria curve behaviour in class enumeration -- a diagnostic tool for model (mis)specification in longitudinal mixture modelling (2022)
- Daniel Lüdecke, Philip D. Waggoner, Dominique Makowski: insight: A Unified Interface to Access Information fromModel Objects in R (2019) not zbMATH
- Daniel Ludecke: ggeffects: Tidy Data Frames of Marginal Effects from Regression Models (2018) not zbMATH