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.rproject.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 wrapperfunctions 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/0000000288953206>)
License: GPL3
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 5 days ago.
12 previous versions
 ggeffects_0.4.0. Released about 1 month ago.
 ggeffects_0.3.4. Released 2 months ago.
 ggeffects_0.3.3. Released 3 months ago.
 ggeffects_0.3.2. Released 5 months ago.
 ggeffects_0.3.1. Released 7 months ago.
 ggeffects_0.3.0. Released 9 months ago.
 ggeffects_0.2.2. Released 11 months ago.
 ggeffects_0.2.1. Released 12 months ago.
 ggeffects_0.2.0. Released about 1 year ago.
 ggeffects_0.1.2. Released about 1 year ago.
 ggeffects_0.1.1. Released about 1 year ago.
 ggeffects_0.1.0. Released over 1 year ago.
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