<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Create Tidy Data Frames of Marginal Effects for 'ggplot' from
Model Outputs</dc:title>
  <dc:title>R package ggeffects version 2.3.2</dc:title>
  <dc:subject>CRAN Task View: MixedModels (https://CRAN.R-project.org/view=MixedModels)</dc:subject>
  <dc:description>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'.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.6)</dc:relation>
  <dc:relation>Imports: graphics, insight (&gt;= 1.3.0), datawizard (&gt;= 1.2.0), stats,
utils, reformulas</dc:relation>
  <dc:relation>Suggests: AER, afex, aod, bayestestR, betareg, brglm, brglm2, brms,
broom, car, carData, clubSandwich, dfidx, effects (&gt;= 4.2-2),
effectsize (&gt;= 1.0.0), emmeans (&gt;= 1.8.9), fixest, gam, gamlss,
gamm4, gee, geepack, ggplot2, ggrepel, GLMMadaptive, glmmTMB
(&gt;= 1.1.7), gridExtra, gt, haven, htmltools, httr2, jsonlite,
knitr, lme4 (&gt;= 1.1-35), logistf, logitr, marginaleffects (&gt;=
0.25.0), modelbased (&gt;= 0.10.0), MASS, Matrix, mice, MCMCglmm,
MuMIn, mgcv, mclogit, mlogit, nestedLogit (&gt;= 0.3.0), nlme,
nnet, ordinal, parameters, parsnip, patchwork, pscl, plm,
quantreg, rmarkdown, rms, robustbase, rstanarm, rstantools,
sandwich, sdmTMB (&gt;= 0.4.0), see, sjlabelled (&gt;= 1.1.2),
sjstats, speedglm, survey, survival, testthat, tibble,
tinytable (&gt;= 0.1.0), vdiffr, withr, VGAM</dc:relation>
  <dc:creator>Daniel Lüdecke &lt;d.luedecke@uke.de&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Daniel Lüdecke [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-8895-3206&gt;),
  Frederik Aust [ctb] (ORCID: &lt;https://orcid.org/0000-0003-4900-788X&gt;),
  Sam Crawley [ctb] (ORCID: &lt;https://orcid.org/0000-0002-7847-0411&gt;),
  Mattan S. Ben-Shachar [ctb] (ORCID:
    &lt;https://orcid.org/0000-0002-4287-4801&gt;),
  Sean C. Anderson [ctb] (ORCID: &lt;https://orcid.org/0000-0001-9563-1937&gt;)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=ggeffects/LICENSE)</dc:rights>
  <dc:date>2025-12-16</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=ggeffects</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.ggeffects</dc:identifier>
</oai_dc:dc>
