see 0.8.0

Major Changes

• plot() for performance::check_model() no longer produces a normal QQ plot
  for GLMs. Instead, it now shows a half-normal QQ plot of the absolute value of
  the standardized deviance residuals.

• plot() for performance::check_model() and
  performance::check_predictions() gains a type argument, to either create
  density plots, or discrete dots resp. interval plots for posterior predictive
  checks.

• plot() for performance::check_model() gains an n_column argument, to
  define the number of columns for the diagnostic plots (by default, two
  columns).

• plot() for performance::check_model() sometimes failed to create the plot
  under certain conditions, e.g. when the screen or app windows was zoomed-in.
  If an error occurs, a much more informative error message is shown, providing
  several possible solutions to resolve this problem.

• plot() for parameters::equivalence_test() now aligns the labelling with
  the print() method. Hence, the legend title is no longer labelled "Decision on H0", but rather "Equivalence", to emphasize that we can assume practical
  equivalence for effects, but that we cannot accept the H0 (in a frequentist
  framework).

• Added some examples and cross references between docs. Furthermore, a vignette
  about plotting functions for the datawizard package was added.

Bug fixes

• Fixed issue with duplicated legend in the plot() method for
  performance::check_predictions().

• Fixes issue in plot.binned_residuals() for models whose residuals were
  completely inside error bounds.

• plot() now works when using it on the output of describe_distribution()
  with a select argument of length 1.