ggeffects (2.3.1)
Published 2026-02-24 13:47:13 +00:00 by atheaadmin
Installation
options("repos" = c(getOption("repos"), c(gitea="install.packages("ggeffects")About this package
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'.Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
Dependencies
| Imports | graphics, insight (>= 1.3.0), datawizard (>= 1.2.0), stats, utils |
| Depends | R (>= 3.6) |
| Suggests | AER, afex, aod, bayestestR, betareg, brglm, brglm2, brms, broom, car, carData, clubSandwich, dfidx, effects (>= 4.2-2), effectsize (>= 1.0.0), emmeans (>= 1.8.9), fixest, gam, gamlss, gamm4, gee, geepack, ggplot2, ggrepel, GLMMadaptive, glmmTMB (>= 1.1.7), gridExtra, gt, haven, htmltools, httr2, jsonlite, knitr, lme4 (>= 1.1-35), logistf, logitr, marginaleffects (>= 0.25.0), modelbased (>= 0.10.0), MASS, Matrix, mice, MCMCglmm, MuMIn, mgcv, mclogit, mlogit, nestedLogit (>= 0.3.0), nlme, nnet, ordinal, parameters, parsnip, patchwork, pscl, plm, quantreg, rmarkdown, rms, robustbase, rstanarm, rstantools, sandwich, sdmTMB (>= 0.4.0), see, sjlabelled (>= 1.1.2), sjstats, speedglm, survey, survival, testthat, tibble, tinytable (>= 0.1.0), vdiffr, withr, VGAM |