Changes

• Methods for the tinyplot package were added.

• estimate_slopes() now also gets the estimate argument, to specify how to
  estimate / marginalize over non-focal terms.

• Improvements to estimate_contrasts():

  • comparison = "inequality" now also works when contrasting slopes for a
    numeric predictor.

  • New option comparison = "inequality_ratio" for estimate_contrast(),
    which computes the ratio of marginal effects inequality measures across
    groups.

  • For contrasts, the message about the units of contrasts ("in %-points") has
    been removed, because this was slightly misleading. The units were in
    %-points if multiplied by 100, but this multiplication was not done in the
    output.

  • estimate_contrasts() for slopes now allows additional grouping of contrasts
    using the by argument together with the comparison argument by specifying
    the grouping variable in the formula, e.g. contrast = c("x", "group") and
    ~ pairwise | group.

• estimate_expectation() and estimate_relation() now support objects of
  class htest.

• estimate_grouplevel() now supports models from package coxme.

• New function residualize_over_grid(), which residualizes a model
  over a grid of predictors. This is useful to visualize the residuals of a
  model over a grid of predictors.

• visualisation_recipe() and plot() get a show_residuals argument,
  to show the residuals of the model, related to the data grid, in the plot.

• Documentation of the display() method for modelbased objects has been
  added.

• Improved documentation and improved informative messages.

• Message about unreliable standard errors (for certain models, when predicting
  random effects) was removed for now, as it is uncertain whether the standard
  errors were unreliable.

• Modified code base to address changes in the marginaleffects package from
  version 0.29.0 onwards.

Bug fixes

• Fixed issue with by in estimate_contrasts() when comparison was
  "inequality".

• Some comparison options, like "helmert" or "poly", could not be specified
  as string-value, only as formula. This has been fixed, so they can now be
  specified as string-value, too.

• In-formula transformations of predictors in by could not be handled when
  by was not specified. This has been fixed, and automatic detection of by
  variables now also works with in-formula transformations.