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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: 2.0.0
Depends: R (≥ 3.6)
Imports: graphics, insight (≥ 1.0.0), datawizard (≥ 0.13.0), stats, utils
Suggests: AER, afex, aod, bayestestR, betareg, brglm, brglm2, brms, broom, car, carData, clubSandwich, dfidx, effects (≥ 4.2-2), emmeans (≥ 1.8.9), fixest, gam, gamlss, gamm4, gee, geepack, ggplot2, ggrepel, GLMMadaptive, glmmTMB (≥ 1.1.7), gridExtra, gt, haven, htmltools, httr2, jsonlite, knitr, lme4 (≥ 1.1-35), logistf, marginaleffects (≥ 0.24.0), MASS, Matrix, mice, MCMCglmm, MuMIn, mgcv, mclogit, mlogit, nestedLogit (≥ 0.3.0), nlme, nnet, ordinal, parameters, parsnip, patchwork, pscl, plm, quantreg, rmarkdown, rms, robustbase, rstanarm, rstantools, sandwich, sdmTMB (≥ 0.4.0), see, sjlabelled (≥ 1.1.2), sjstats, speedglm, survey, survival, testthat, tibble, tinytable (≥ 0.1.0), vdiffr, withr, VGAM
Published: 2024-11-27
DOI: 10.32614/CRAN.package.ggeffects
Author: Daniel Lüdecke ORCID iD [aut, cre], Frederik Aust ORCID iD [ctb], Sam Crawley ORCID iD [ctb], Mattan S. Ben-Shachar ORCID iD [ctb], Sean C. Anderson ORCID iD [ctb]
Maintainer: Daniel Lüdecke <d.luedecke at uke.de>
BugReports: https://github.com/strengejacke/ggeffects/issues/
License: MIT + file LICENSE
URL: https://strengejacke.github.io/ggeffects/
NeedsCompilation: no
Citation: ggeffects citation info
Materials: README NEWS
In views: MixedModels
CRAN checks: ggeffects results

Documentation:

Reference manual: ggeffects.pdf
Vignettes: Documentation of the ggeffects package (source, R code)

Downloads:

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 dependencies:

Reverse imports: eirm, INSPECTumours, MIGEE, pastaPlot, sjPlot
Reverse suggests: broom.helpers, insight, LegATo, nestedLogit, parameters, pubh, sdmTMB, SimplyAgree

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ggeffects to link to this page.

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.