ggeffects

Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs

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'.

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Description file content

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
Maintainer
Daniel Lüdecke
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
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] ()
Repository
CRAN
Date/Publication
2019-05-13 13:30:03 UTC

install.packages('ggeffects')

0.10.0

6 days ago

https://strengejacke.github.io/ggeffects

Daniel Lüdecke

GPL-3

Depends on

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

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