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 using 'ggplot2'.
Version: | 0.3.1 |
Depends: | R (≥ 3.2), stats, utils |
Imports: | dplyr (≥ 0.7.1), effects (≥ 4.0-0), ggplot2 (≥ 2.2.1), magrittr, prediction (≥ 0.2.0), purrr, rlang, scales, sjlabelled (≥ 1.0.6), sjmisc (≥ 2.6.3), sjstats (≥ 0.14.0), tibble (≥ 1.3.3), tidyr (≥ 0.7.0), tidyselect |
Suggests: | knitr, MASS, rmarkdown, rstantools |
Published: | 2018-01-15 |
Author: | Daniel Lüdecke |
Maintainer: | Daniel Lüdecke <d.luedecke at uke.de> |
BugReports: | https://github.com/strengejacke/ggeffects/issues |
License: | GPL-3 |
URL: | https://github.com/strengejacke/ggeffects |
NeedsCompilation: | no |
Citation: | ggeffects citation info |
Materials: | README NEWS |
CRAN checks: | ggeffects results |
Reference manual: | ggeffects.pdf |
Vignettes: |
Tidy Data Frames of Marginal Effects |
Package source: | ggeffects_0.3.1.tar.gz |
Windows binaries: | r-devel: ggeffects_0.3.1.zip, r-release: ggeffects_0.3.1.zip, r-oldrel: ggeffects_0.3.1.zip |
OS X El Capitan binaries: | r-release: ggeffects_0.3.1.tgz |
OS X Mavericks binaries: | r-oldrel: ggeffects_0.3.0.tgz |
Old sources: | ggeffects archive |
Reverse imports: | sjPlot |
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