insight 1.5.3

Changes

• get_df() now supports the df_per_obs argument for models of class mmrm,
  returning one degree of freedom per row of data instead of one per
  coefficient, using the method chosen when fitting the model.

• model_info() and get_predicted() now recognize the ddm(), lba() and
  rdm() custom brms families from package cogmod as reaction-time and
  choice models (is_rtchoice), alongside the already supported lnr(). Their
  predictions are hence split into the "rt" and "response" components,
  instead of being returned as a single interleaved vector.

• get_datagrid() gains a weighted argument, to create a smaller representation
  of large data grids, where multiple unique combinations of predictors are
  included only once, and a new Weight column indicates how often each
  combination appears in the original data. The related n_bins argument
  indicates how numeric values are represented in the reduced data grid.

• format_ci() gains a separator argument, to customize the separator for
  lower and upper CI values.

• find_response(), find_predictors(), and find_variables() now also work
  for objects from package marginaleffects.

• Preliminary support in find_parameters() for objects from package
  marginaleffects.

• get_variances() now passes ... down to VarCorr(), which might be useful
  for Bayesian models (e.g. to return robust estimates using robust = TRUE).

• Added a documentation page for available options.

• Updated test-files for htest objects and fixed deprecated names.

Bug fixes

• null_model() no longer fails for models whose offset is written inline in
  the formula with a nested-parenthesis expression followed by further terms
  (e.g. y ~ x + offset(log(exposure)) + factor(year)). The offset term is now
  extracted from the formula's language tree instead of by a paren-blind regex.