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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.pdf |
Vignettes: |
Documentation of the ggeffects package (source, R code) |
Package source: | ggeffects_2.0.0.tar.gz |
Windows binaries: | r-devel: ggeffects_2.0.0.zip, r-release: ggeffects_2.0.0.zip, r-oldrel: ggeffects_2.0.0.zip |
macOS binaries: | r-release (arm64): ggeffects_2.0.0.tgz, r-oldrel (arm64): ggeffects_2.0.0.tgz, r-release (x86_64): ggeffects_2.0.0.tgz, r-oldrel (x86_64): ggeffects_2.0.0.tgz |
Old sources: | ggeffects archive |
Reverse imports: | eirm, INSPECTumours, MIGEE, pastaPlot, sjPlot |
Reverse suggests: | broom.helpers, insight, LegATo, nestedLogit, parameters, pubh, sdmTMB, SimplyAgree |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.