ggeffects 1.5.0

New functions

• predict_response() as "generic" high-level function, which is a replacement
  for ggpredict(), ggemmeans() and ggaverage(). The new function is more
  clear about how the function marginalizes over non-focal terms. The margin
  argument can be used to specify how to marginalize over non-focal terms, i.e.
  which function internally is used to compute the marginal effects.

General

• The documentation was revised, to provide more clarity about what the package
  functions do and how to decide, which function or method to calculate marginal
  effects is the most appropriate.

• Improved calculation of prediction intervals for Poisson regression models.

• Improved handling of the vcov_fun argument. This argument now accepts an
  estimation type as string, e.g. vcov_fun = "HC0", which is then used to
  compute the variance-covariance matrix. Thus, it is no longer necessary to
  define both vcov_fun and vcov_type, if the variance-covariance matrix is
  covered by one of the pre-defined estimation types. See ?ggpredict for
  details.

• hypothesis_test() now also accepts the vcov_fun argument, and not only
  vcov. This ensures consistency with the vcov_fun argument in ggpredict().
  Furthermore, the information about the type of variance-covariance matrix
  is saved to the ggeffects object returned by ggpredict(), predict_response()
  etc., and if this information is available, it is automatically used in
  hypothesis_test() when a ggeffects object is passed to the function.

Bug fixes

• Fixed bug in wrong order of printed (sub-)tables for predictions.

• Fixed wrong table column name for confidence interval columns for other
  confidence levels than the default 95% in print() for ggeffects objects.

• Fixed issue with ggpredict() for models of class fixest when the cluster
  variable was numeric.