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DESCRIPTION
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DESCRIPTION
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Package: ggeffects
Type: Package
Encoding: UTF-8
Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
Version: 0.10.0.9000
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,
aod,
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,
see,
sjstats,
survey,
survival,
testthat,
VGAM
URL: https://strengejacke.github.io/ggeffects
BugReports: https://github.com/strengejacke/ggeffects/issues
RoxygenNote: 6.1.1
VignetteBuilder: knitr