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'.

Tests Vignettes

Available Snapshots

This version of ggeffects can be found in the following snapshots:

2024-09-23

Dependencies

Imports/Depends/LinkingTo/Enhances (2)
R insight >= 0.19.8

Suggests (59)
AER aod bayestestR betareg brglm2 brms broom car carData clubSandwich datawizard >= 0.9.0 effects emmeans >= 1.8.9 fixest gam gamlss gamm4 gee geepack ggplot2 ggrepel GLMMadaptive glmmTMB >= 1.1.7 gridExtra gt haven htmltools httr jsonlite knitr lme4 >= 1.1-35 logistf marginaleffects mice MCMCglmm nestedLogit ordinal parameters parsnip patchwork pscl quantreg rmarkdown rms robustbase rstanarm rstantools sandwich sdmTMB see sjlabelled >= 1.1.2 sjstats survey testthat tibble tinytable vdiffr withr VGAM

Suggests (59)

aod

clubSandwich