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: 1.1.1
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: 2021-07-29
Author: Daniel Lüdecke ORCID iD [aut, cre], Frederik Aust ORCID iD [ctb], Sam Crawley ORCID iD [ctb], Mattan S. Ben-Shachar ORCID iD [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:

Reference manual: ggeffects.pdf
Vignettes: Documentation of the ggeffects package
Package source: ggeffects_1.1.1.tar.gz
Windows binaries: r-devel: ggeffects_1.1.0.zip, r-release: ggeffects_1.1.0.zip, r-oldrel: ggeffects_1.1.0.zip
macOS binaries: r-release (arm64): ggeffects_1.1.1.tgz, r-release (x86_64): ggeffects_1.1.0.tgz, r-oldrel: ggeffects_1.1.0.tgz
Old sources: ggeffects archive

Reverse dependencies:

Reverse imports: drhur, eirm, sjPlot
Reverse suggests: pubh

Linking:

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