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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: 2.2.0
Authors@R: c(
person("Daniel", "Lüdecke", role = c("aut", "cre"), email = "[email protected]", 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 = "[email protected]", comment = c(ORCID = "0000-0002-7847-0411")),
person(c("Mattan", "S."), "Ben-Shachar", role = "ctb", email = "[email protected]", comment = c(ORCID = "0000-0002-4287-4801")),
person(c("Sean", "C."), "Anderson", role = "ctb", email = "[email protected]", comment = c(ORCID = "0000-0001-9563-1937"))
)
Maintainer: Daniel Lüdecke <[email protected]>
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 (>= 1.0.1),
datawizard (>= 1.0.0),
stats,
utils
Suggests:
AER,
afex,
aod,
bayestestR,
betareg,
brglm,
brglm2,
brms,
broom,
car,
carData,
clubSandwich,
dfidx,
effects (>= 4.2-2),
effectsize (>= 1.0.0),
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,
logitr,
marginaleffects (>= 0.25.0),
modelbased (>= 0.9.0),
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
URL: https://strengejacke.github.io/ggeffects/
BugReports: https://github.com/strengejacke/ggeffects/issues/
RoxygenNote: 7.3.2
VignetteBuilder: knitr
Config/testthat/edition: 3
Roxygen: list(markdown = TRUE)
License: MIT + file LICENSE
LazyData: true