insight 1.3.0

Breaking Changes

• The default option "all" for the effects argument of find_parameters()
  and get_parameters() for models from package brms and rstanarm has a new
  behaviour and only returns fixed effects and random effects variance components,
  but no longer the group level estimates. Use effects = "full" to return
  all parameters. This change is mainly to be more flexible and gain more
  efficiency for models with many parameters and / or many posterior draws.

New functions

• is_bayesian_model() as a convenient shortcut to check whether a model is
  Bayesian or not.

Changes

• Revised wording for alerts from get_variance().

• The effects argument of find_parameters() and get_parameters() for
  models from package brms and rstanarm get two new options, "grouplevel"
  and "random_variances", to return only random effects variance components, or
  group level effects. This is more efficient especially for models with many
  samples and many parameters. Additionally, a variable argument can be passed
  to get_parameters(), which is in turn passed to as.data.frame(), to
  extract parameters more efficiently.

• The by argument in export_table() now also splits tables when format is
  not "html".

Bug fixes

• Fixed issue in find_formula() for models of class barts (package dbarts),
  when formula was abbreviated using y ~ ..