modelbased 0.12.0

Changes

• The comparison argument gets two new option, "inequality" and
  "inequality_pairwise", to compute the marginal effects inequality measure,
  which summarizes the the overall effect of categorical predictors or the
  comprehensive effect of a predictor across all outcome categories of a nominal
  or ordinal dependent variable.

• Added docs to show how to use modelbased with finite mixture models from
  package brms.

• Improved support for finite mixture models (currently only the mixture()
  family for model from package brms are supported).

• Improved printing for joint-tests with backend = "emmeans".

• Improved handling when p-adjustment methods that are only available in the
  emmeans package were used for the marginaleffects backend.

• The column header for the predicted values in estimate_means() for
  multinomial models from packages nnet and brglm2 has been changed to
  Probability, to better reflect the scale of the predictions.

• New vignettes (Case Studies) about using modelbased with finite mixture models
  and interrupted time series analysis.

• The p_adjust argument gets a new option, "sup-t", to calculate
  simultaneous confidence intervals.

• Added a display() method for modelbased objects.

Bug fixes

• Fixed printing and plotting for models from packages nnet and brglm2.

• Fixed issues with object of class aov.

• Fixed issue with the plot() method for estimate_slopes() for Bayesian
  models.