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'.
| Reference manual: | ggeffects.html , ggeffects.pdf |
| Vignettes: |
Documentation of the ggeffects package (source, R code) |
| Package source: | ggeffects_2.3.2.tar.gz |
| Windows binaries: | r-devel: ggeffects_2.3.2.zip, r-release: ggeffects_2.3.2.zip, r-oldrel: ggeffects_2.3.2.zip |
| macOS binaries: | r-release (arm64): ggeffects_2.3.2.tgz, r-oldrel (arm64): ggeffects_2.3.2.tgz, r-release (x86_64): ggeffects_2.3.2.tgz, r-oldrel (x86_64): ggeffects_2.3.2.tgz |
| Old sources: | ggeffects archive |
| Reverse imports: | eirm, MIGEE, pastaPlot, sjPlot |
| Reverse suggests: | broom.helpers, growthTrendR, LegATo, nestedLogit, psre, pubh, sdmTMB, SimplyAgree |
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