Package: ggeffects
Type: Package
Encoding: UTF-8
Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
Version: 1.3.3
Authors@R: c(
      person("Daniel", "Lüdecke", role = c("aut", "cre"), email = "d.luedecke@uke.de", comment = c(ORCID = "0000-0002-8895-3206")),
      person("Frederik", "Aust", role = "ctb", comment = c(ORCID = "0000-0003-4900-788X")),
      person("Sam", "Crawley", role = "ctb", email = "sam@crawley.nz", comment = c(ORCID = "0000-0002-7847-0411")),
      person(c("Mattan", "S."), "Ben-Shachar", role = "ctb", email = "matanshm@post.bgu.ac.il", comment = c(ORCID = "0000-0002-4287-4801")),
      person(c("Sean", "C."), "Anderson", role = "ctb", email = "sean@seananderson.ca", comment = c(ORCID = "0000-0001-9563-1937"))
    )
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>
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'.
Depends:
    R (>= 3.6)
Imports:
    graphics,
    insight (>= 0.19.5),
    stats
Suggests:
    AER,
    aod,
    bayestestR,
    betareg,
    brglm2,
    brms,
    broom,
    car,
    carData,
    clubSandwich,
    datawizard (>= 0.9.0),
    effects (>= 4.2-2),
    emmeans (>= 1.8.8),
    fixest,
    gam,
    gamlss,
    gamm4,
    gee,
    geepack,
    ggplot2,
    ggrepel,
    GLMMadaptive,
    glmmTMB (>= 1.1.7),
    gridExtra,
    haven,
    httr,
    jsonlite,
    knitr,
    lme4 (>= 1.1-35),
    logistf,
    magrittr,
    margins,
    marginaleffects (>= 0.16.0),
    MASS,
    Matrix,
    mice,
    MCMCglmm,
    mgcv,
    nestedLogit (>= 0.3.0),
    nlme,
    nnet,
    ordinal,
    parameters,
    parsnip,
    patchwork,
    pscl,
    quantreg,
    rmarkdown,
    rms,
    robustbase,
    rstanarm,
    rstantools,
    sandwich,
    sdmTMB (>= 0.4.0),
    see,
    sjlabelled (>= 1.1.2),
    sjstats,
    survey,
    survival,
    testthat,
    tibble,
    withr,
    VGAM
URL: https://strengejacke.github.io/ggeffects/
BugReports: https://github.com/strengejacke/ggeffects/issues/
RoxygenNote: 7.2.3
VignetteBuilder: knitr
Config/testthat/edition: 3
Roxygen: list(markdown = TRUE)
License: MIT + file LICENSE
