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'.
| Version: | 1.1.0 |
| Depends: | R (≥ 3.4) |
| Imports: | graphics, insight (≥ 0.13.0), MASS, sjlabelled (≥ 1.1.2), stats |
| Suggests: | AER, aod, betareg, brms, clubSandwich, effects (≥ 4.1-2), emmeans (≥ 1.4.1), gam, gamlss, gamm4, gee, geepack, ggplot2, GLMMadaptive, glmmTMB (≥ 1.0.0), gridExtra, haven, httr, knitr, lme4, logistf, magrittr, margins, Matrix, mice, MCMCglmm, mgcv, nlme, ordinal, parameters, prediction, pscl, quantreg, rmarkdown, rms, robustbase, rstanarm, rstantools, sandwich, see, sjstats, sjmisc (≥ 2.8.2), survey, survival, testthat, VGAM |
| Published: | 2021-04-30 |
| Author: | Daniel Lüdecke 
[aut, cre],
Frederik Aust
[ctb],
Sam Crawley [ctb],
Mattan S. Ben-Shachar
[ctb] |
| Maintainer: | Daniel Lüdecke <d.luedecke at uke.de> |
| BugReports: | https://github.com/strengejacke/ggeffects/issues/ |
| License: | GPL-3 |
| URL: | https://strengejacke.github.io/ggeffects/ |
| NeedsCompilation: | no |
| Citation: | ggeffects citation info |
| Materials: | README NEWS |
| CRAN checks: | ggeffects results |
Downloads:
Reverse dependencies:
| Reverse imports: | drhur, sjPlot |
| Reverse suggests: | pubh |
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