parameters 0.21.4

Breaking changes

• The exponentiate argument of model_parameters() for
  marginaleffects::predictions() now defaults to FALSE, in line with all
  the other model_parameters() methods.

Changes

• model_parameters() for models of package survey now gives informative
  messages when bootstrap = TRUE (which is currently not supported).

• n_factors() now also returns the explained variance for the number of
  factors as attributes.

• model_parameters() for objects of package metafor now warns when unsupported
  arguments (like vcov) are used.

• Improved documentation for pool_parameters().

Bug fixes

• print(include_reference = TRUE) for model_parameters() did not work when
  run inside a pipe-chain.

• Fixed issues with format() for objects returned by compare_parameters()
  that included mixed models.