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'.
copied from cf-staging / r-ggeffects
conda install conda-forge::r-ggeffectsconda install conda-forge/label/cf201901::r-ggeffectsconda install conda-forge/label/cf202003::r-ggeffectsconda install conda-forge/label/gcc7::r-ggeffects