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'.
Version: | 0.15.1 |
Depends: | R (≥ 3.2) |
Imports: | graphics, insight (≥ 0.8.1), MASS, sjlabelled (≥ 1.1.2), stats |
Suggests: | AER, aod, betareg, brms, clubSandwich, effects (≥ 4.1-2), emmeans (≥ 1.4.1), gam, gamm4, gee, geepack, ggplot2, GLMMadaptive, glmmTMB (≥ 1.0.0), httr, knitr, lme4, logistf, magrittr, Matrix, MCMCglmm, mgcv, nlme, ordinal, prediction, pscl, quantreg, rmarkdown, rms, robustbase, rstanarm, rstantools, sandwich, see, sjstats, sjmisc (≥ 2.8.2), survey, survival, testthat, VGAM |
Published: | 2020-07-27 |
Author: | Daniel Lüdecke [aut, cre], Frederik Aust [ctb], Sam Crawley [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 |
Reference manual: | ggeffects.pdf |
Vignettes: |
ggeffects: Marginal Effects of Regression Models Introduction: Marginal Effects at Specific Values Introduction: Customize Plot Appearance Introduction: Plotting Marginal Effects Introduction: Marginal Effects for Random Effects Models Practical example: Logistic Mixed Effects Model with Interaction Term Practical example: (Cluster) Robust Standard Errors Technical Details: Difference between ggpredict() and ggemmeans() Technical Details: Different Output between Stata and ggeffects |
Package source: | ggeffects_0.15.1.tar.gz |
Windows binaries: | r-devel: ggeffects_0.15.1.zip, r-release: ggeffects_0.15.1.zip, r-oldrel: ggeffects_0.15.1.zip |
macOS binaries: | r-release: ggeffects_0.15.1.tgz, r-oldrel: ggeffects_0.15.1.tgz |
Old sources: | ggeffects archive |
Reverse imports: | sjPlot |
Reverse suggests: | pubh |
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