parameters 0.29.0

Changes

• standardize_parameters() (and by extension model_parameters()) with any of
  the post-hoc standardization methods no longer standardizes the
  "(Intercept)" parameter - instead setting it to NA.

• standardize_parameters() with any of the post-hoc standardization methods
  sets all inferential statistics (z, p, etc...) for the "(Intercept)" and any
  other NA parameters to NA.

• model_parameters() now supports objects from the lavaan.mi package.

• Improved performance of model_parameters() for large mgcv::gam() models
  that include random effects when using the new re_test argument (e.g.,
  setting re_test = FALSE to skip expensive random-effect tests). Default
  behavior (with re_test = TRUE) is unchanged.

• model_parameters() for proportions-htests objects no longer hard-codes the
  estimate for the proportion in the underlying data frame. This is now done
  in the format() method.

• model_parameters() now supports htests objects from package BSDA.

• Output for other random effects covariance structures than "unstructured" for
  models from package glmmTMB has been revised, to provide a more useful output,
  which is also in line with the relevant information returned by VarCorr().

Bug fixes

• Fixed issue where wrong (non-robust) standard errors were calculated for
  coxph and svycoxph objects.

• Fixed issues with Tukey-p-value adjustment for emmeans objects.

• Fixed unintended removal of columns in model_parameters() for objects from
  package marginaleffects. This happened, when a variable in a model was named
  Type.

• Fixed issue in model_parameters() for fisher.test() with tables larger
  than 2x2.