modelbased 0.7.0 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 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 2021-01-27

  • Minor improvements.

modelbased 0.3.0 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 Unreleased

  • Partial support of formulas.

  • Refactor the emmeans wrapping.

modelbased 0.1.3 Unreleased

  • Fix CRAN check issues.

modelbased 0.1.2 2020-03-12

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

modelbased 0.1.1 2020-01-26

  • Fix CRAN check issues.

modelbased 0.1.0 2020-01-12

  • Added a file to track changes to the package