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Changelog

Source: NEWS.md

modelbased 0.9.0

Breaking Changes

  • The default package used for estimate_means(), estimate_slopes() and estimate_contrasts() is now marginaleffects. 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").

  • 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.

Major Changes

  • 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 "marginaleffects", but can be set to "emmeans" 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.

Bug fixes

  • 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".

modelbased 0.8.9

CRAN release: 2024-10-26

  • Fixed issues related to updates of other easystats packages.

modelbased 0.8.6

CRAN release: 2023-01-13

Breaking Changes

  • The minimum needed R version has been bumped to 3.6.

modelbased 0.8.5

CRAN release: 2022-08-18

  • Fixed issues with printing-methods.

  • Maintenance release to fix failing tests in CRAN checks.

modelbased 0.8.1

CRAN release: 2022-05-30

  • Maintenance release to fix failing tests in CRAN checks.

modelbased 0.8.0

CRAN release: 2022-03-31

modelbased 0.7.2

CRAN release: 2022-02-27

  • Patch release. This update fixes failing tests after updating the insight package.

modelbased 0.7.1

CRAN release: 2022-01-13

  • 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.

modelbased 0.7.0

CRAN release: 2021-06-06

  • 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.

modelbased 0.6.0

CRAN release: 2021-04-12

  • 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).

modelbased 0.5.1

CRAN release: 2021-01-27

  • Minor improvements.

modelbased 0.3.0

CRAN release: 2020-09-26

Breaking changes

  • Predicted is now the name of the predicted column for Bayesian models (similarly to Frequentist ones), instead of the centrality index (e.g., Median).

New supported models

  • Models from package glmmTMB are now supported.

Bug fixes

  • estimate_slope() now gives an informative error when no numeric predictor is present.

modelbased 0.2.0

  • Partial support of formulas.

  • Refactor the emmeans wrapping.

modelbased 0.1.3

  • Fix CRAN check issues.

modelbased 0.1.2

CRAN release: 2020-03-12

  • Minor code changes to address changes from the forthcoming parameters package update.

modelbased 0.1.1

CRAN release: 2020-01-26

  • Fix CRAN check issues.

modelbased 0.1.0

CRAN release: 2020-01-12

  • Added a NEWS.md file to track changes to the package