modelbased 0.11.0

New functions

• Added pool_slopes(), to pool results from estimate_slopes() applied to
  imputed data.

Breaking Changes

• reshape_grouplevel() now takes the correct number of specified random effects
  groups into account when reshaping results.

Changes

• In general, it is now possible to make estimate means, contrasts and slopes
  for distributional parameters for models from package brms using the
  predict argument.

• estimate_grouplevel() gets arguments test, dispersion and diagnostic,
  that are internally passed to parameters::model_parameters(), but with
  different defaults.

• estimate_prediction() and estimate_relation() now support Wiener-models
  (Drift Diffusion Models) from package brms.

• estimate_prediction(), estimate_relation() and similar functions now
  include the Row column for models with ordinal or categorical response
  variables when the data argument was provided.

• estimate_slopes() can now also calculate average marginal effects of a
  predictor, just for the trend of that predictor within a certain range of
  values.

• estimate_slopes() gets a predict argument, to either select the scale
  of the estimates slopes, or to estimate slopes (marginal effects) for
  distributional parameters of brms models.

• estimate_contrasts() gives an informative error message when arguments
  by and contrast have identical variables (which does not work).

• Column names of predicted values for backend = "emmeans" has changed for
  models like logistic regression, or beta regression. Formerly, name was
  Mean, now it is Probability or Proportion, depending on the model.

• Exposed iterations argument in estimate_prediction() and estimate_relation().

• Option estimate = "average no longer prints information on averaged predictors
  in the footer, because strictly, the predictions are averaged over, and not
  the non-focal variables.

• Better handling for models with offsets in estimate_means() and
  estimate_contrasts(). Informative messages are given when models include
  offset terms, and it is possible to fix the offset value using the offset
  argument. The offset argument is also available for estimate_relation(),
  estimate_prediction() and similar.

• For consistency, estimate_slopes() now also uses the residual degrees of
  freedom by default (like estimate_means()) when calculating confidence
  intervals and p-values.

• Minor improvements to the documentation.

Bug fixes

• Fixed issues in estimate_grouplevel() for models from package rstanarm.

• Fixed issues in calculating correct confidence intervals (and possibly p-values)
  for pooling functions pool_parameters() and pool_predictions().

• Fixed issue in estimate_means() for multivariate response models from
  package brms.

• Fixed issue with wrong y-axis label for plots from estimate_slopes().

• Fixed issue with weights in estimate_relation().

• Fixed issue in printed output for the statistic column, which should be z
  for the marginaleffects backend, when argument df = Inf.