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'.
| Version: | 2.3.2 |
| Depends: | R (≥ 3.6) |
| Imports: | graphics,insight (≥ 1.3.0),datawizard (≥ 1.2.0), stats, utils,reformulas |
| 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 |
| Published: | 2025-12-16 |
| DOI: | 10.32614/CRAN.package.ggeffects |
| Author: | Daniel Lüdecke [aut, cre], Frederik Aust [ctb], Sam Crawley [ctb], Mattan S. Ben-Shachar [ctb], Sean C. Anderson [ctb] |
| Maintainer: | Daniel Lüdecke <d.luedecke at uke.de> |
| BugReports: | https://github.com/strengejacke/ggeffects/issues/ |
| License: | MIT + fileLICENSE |
| URL: | https://strengejacke.github.io/ggeffects/ |
| NeedsCompilation: | no |
| Citation: | ggeffects citation info |
| Materials: | README,NEWS |
| In views: | MixedModels |
| CRAN checks: | ggeffects results |