parameters 0.22.1

Breaking changes

• Revised calculation of the second generation p-value (SGPV) in equivalence_test(),
  which should now be more accurate related to the proportion of the interval
  that falls inside the ROPE. Formerly, the confidence interval was simply treated
  as uniformly distributed when calculating the SGPV, now the interval is assumed
  to be normally distributed.

New supported models

• Support for svy2lme models from package svylme.

Changes

• standardize_parameters() now also prettifies labels of factors.

Bug fixes

• Fixed issue with equivalence_test() when ROPE range was not symmetrically
  centered around zero (e.g., range = c(-99, 0.1)).

• model_parameters() for anova() from mixed models now also includes the
  denominator degrees of freedom in the output (df_error).

• print(..., pretty_names = "labels") for tobit-models from package AER now
  include value labels, if available.

• Patch release, to ensure that performance runs with older version of datawizard
  on Mac OS X with R (old-release).