ggeffects (0.5.0)

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

https://github.com/strengejacke/ggeffects
https://strengejacke.github.io/ggeffects
http://cran.r-project.org/web/packages/ggeffects

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'.

Maintainer: Daniel Luedecke
Author(s): Daniel Ldecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>)

License: GPL-3

Uses: dplyr, effects, ggplot2, magrittr, prediction, purrr, rlang, scales, sjlabelled, sjmisc, sjstats, tibble, tidyr, tidyselect, lme4, nlme, survey, MASS, testthat, knitr, rmarkdown, rstantools, glmmTMB

Released over 1 year ago.