Deprecated argument and function names have been removed.
Argument fixed has been removed, as you can fix predictor at certain values
using the by argument.
Argument transform is deprecated. Please use predict instead.
Argument method in estimate_contrasts() was renamed into comparison.
All model_*() alias names have been removed. Use the related get_*()
functions instead.
The show_data argument in plot() defaults to FALSE.
The "marginaleffects" backend is now fully implemented and no longer
work-in-progress. You can set your preferred package as backend using
either the backend argument, or in general by setting
options(modelbased_backend = "marginaleffects") or
options(modelbased_backend = "emmeans").
All estimate_*() functions get a predict argument, which can be used
to modulate the type of transformation applied to the predictions (i.e. whether
predictions should be on the response scale, link scale, etc.). It can also
be used to predict auxiliary (distributional) parameters.
estimate_means() and estimate_contrasts() get a marginalize argument,
to specify how to marginalize over non-focal terms. This results in slightly
different predicted values, each approach answering a different question.
estimate_contrasts() gains a backend argument. This defaults to "emmeans",
but can be set to "marginaleffects" to use features of that package to estimate
contrasts and pairwise comparisons.
estimate_expectation() and related functions also get a by argument, as
alternative to create a datagrid for the data argument.
Many functions get a verbose argument, to silence warnings and messages.
estimate_contrasts() did not calculate contrasts for all levels when the
predictor of interest was converted to a factor inside the model formula.
Fixed issue in estimate_contrasts() when comparsison (formerly: method)
was not "pairwise".
3.6.Fixed issues with printing-methods.
Maintenance release to fix failing tests in CRAN checks.
visualisation_matrix() has now become an alias (alternative name) for the get_datagrid() function, which is implemented in the insight package.API changes: levels in estimate_contrasts has been replaced by contrast.
levels and modulate are in general aggregated under at.
estimate_prediction() deprecated in favour of estimate_response().
estimate_expectation() now has data=NULL by default.
General overhaul of the package.
Entire refactoring of visualisation_matrix().
Option of standardizing/unstandardizing predictions, contrasts and means is
now available via standardize() instead of via options.
Introduction of model_emmeans() as a wrapper to easily create emmeans
objects.
estimate_smooth() transformed into describe_nonlinear() and made more
explicit.
estimate_link() now does not transform predictions on the response scale
for GLMs. To keep the previous behaviour, use the new estimate_relation()
instead. This follows a change in how predictions are made internally (which
now relies on
get_predicted(),
so more details can be found there).Predicted is now the name of the predicted column for Bayesian models
(similarly to Frequentist ones), instead of the centrality index (e.g.,
Median).estimate_slope() now gives an informative error when no numeric predictor is
present.Partial support of formulas.
Refactor the emmeans wrapping.
parameters
package update.NEWS.md file to track changes to the package