ggeffects (0.11.0)

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

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

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'.

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

License: GPL-3

Uses: dplyr, insight, magrittr, MASS, purrr, rlang, scales, sjlabelled, sjmisc, Matrix, VGAM, aod, betareg, effects, gam, gee, geepack, ggplot2, lme4, logistf, mgcv, nlme, pscl, quantreg, robust, robustbase, sandwich, survey, survival, AER, MCMCglmm, gamm4, rms, testthat, ordinal, knitr, httr, rmarkdown, brms, rstanarm, sjstats, prediction, rstantools, glmmTMB, emmeans, GLMMadaptive, see

Released 4 months ago.