Imports: dplyr (>= 0.7.5), plyr, tidyr, purrr, rlang, scales,
rstudioapi, shiny, miniUI, shinyBS, colourpicker (>= 0.2),
shinyAce, magrittr, utils, graphics, grid, tools, stats

Imports: dplyr (>= 1.0.0), plyr, tidyr, purrr, rlang, scales,

Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from
Description: Compute marginal effects at the mean or average marginal effects from
statistical models and returns the result as tidy data frames. These
data frames are ready to use with the 'ggplot2'-package.
Marginal effects can be calculated for many different models. Interaction
terms, splines and polynomial terms are also supported. The two main
functions are 'ggpredict()' and 'ggaverage()', however, there are
some convenient wrapper-functions especially for polynomials or
interactions. There is a generic 'plot()'-method to plot the results
Imports: dplyr (>= 0.5.0), effects, ggplot2 (>= 2.2.1), magrittr,
merTools (>= 0.3.0), prediction (>= 0.2.0), purrr, scales,

Matrix, prediction (>= 0.2.0), purrr, scales, sjmisc (>=

Imports: dplyr (>= 0.7.0), effects, ggplot2 (>= 2.2.1), magrittr,
Matrix, prediction (>= 0.2.0), purrr, scales, sjlabelled (>=

Package: ggeffects
Type: Package
Encoding: UTF-8
Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from
Model Outputs
Version: 0.10.0
Date: 2019-05-13
Authors@R: person("Daniel", "Lüdecke", role = c("aut", "cre"), email = "d.luedecke@uke.de", comment = c(ORCID = "0000-0002-8895-3206"))
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>
Description: Compute marginal effects from statistical models and returns the
result as tidy data frames. These data frames are ready to use with the
'ggplot2'-package. Marginal effects 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'.
License: GPL-3
Depends: R (>= 3.2), graphics, stats, utils
Imports: dplyr, insight (>= 0.2.0), magrittr, MASS, purrr, rlang,
scales, sjlabelled (>= 1.0.17), sjmisc (>= 2.7.8)
Suggests: AER, betareg, brms, effects (>= 4.0-0), emmeans, gam, gamm4,
gee, geepack, ggplot2, GLMMadaptive, glmmTMB, knitr, lme4,
logistf, Matrix, MCMCglmm, mgcv, nlme, ordinal, prediction,
pscl, quantreg, rmarkdown, rms, robust, robustbase, rstanarm,
rstantools, sandwich, sjstats, survey, survival, testthat, VGAM
URL: https://strengejacke.github.io/ggeffects
BugReports: https://github.com/strengejacke/ggeffects/issues
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-13 11:52:54 UTC; Daniel
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>)
Repository: CRAN
Date/Publication: 2019-05-13 13:30:03 UTC