Package: ggeffects
Type: Package
Encoding: UTF-8
Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from
Model Outputs
Version: 0.11.0
Date: 2019-07-01
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 (>= 0.4.0), magrittr, MASS, purrr, rlang,
scales, sjlabelled (>= 1.1.0), sjmisc (>= 2.8.0)
Suggests: AER, aod, betareg, brms, effects (>= 4.0-0), emmeans, gam,
gamm4, gee, geepack, ggplot2, GLMMadaptive, glmmTMB, httr,
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
NeedsCompilation: no
Packaged: 2019-07-01 09:42:07 UTC; mail
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>)
Repository: CRAN
Date/Publication: 2019-07-01 10:20:02 UTC

Package: ggeffects
Type: Package
Encoding: UTF-8
Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from
Model Outputs
Version: 0.12.0
Date: 2019-09-03
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 (>= 0.4.1), magrittr, MASS, purrr, rlang,
scales, sjlabelled (>= 1.1.0), sjmisc (>= 2.8.0)
Suggests: AER, aod, betareg, brms, effects (>= 4.1-0), emmeans, gam,
gamm4, gee, geepack, ggplot2, GLMMadaptive, glmmTMB, httr,
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
NeedsCompilation: no
Packaged: 2019-09-03 09:07:34 UTC; mail
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>)
Repository: CRAN
Date/Publication: 2019-09-03 13:40:03 UTC