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Published June 5, 2023 | Version 0.8.0
Software Open

easystats/see: see 0.8.0

  • 1. Universitätsklinikum Hamburg-Eppendorf
  • 2. University of Sussex
  • 3. Canine Cognition and Human Interaction Lab, @UNL
  • 4. Luxembourg Institute of Socio-Economic Research (LISER)
  • 5. Turkish Airlines

Description

Major Changes
  • plot() for performance::check_model() no longer produces a normal QQ plot for GLMs. Instead, it now shows a half-normal QQ plot of the absolute value of the standardized deviance residuals.

  • plot() for performance::check_model() and performance::check_predictions() gains a type argument, to either create density plots, or discrete dots resp. interval plots for posterior predictive checks.

  • plot() for performance::check_model() gains an n_column argument, to define the number of columns for the diagnostic plots (by default, two columns).

  • plot() for performance::check_model() sometimes failed to create the plot under certain conditions, e.g. when the screen or app windows was zoomed-in. If an error occurs, a much more informative error message is shown, providing several possible solutions to resolve this problem.

  • plot() for parameters::equivalence_test() now aligns the labelling with the print() method. Hence, the legend title is no longer labelled "Decision on H0", but rather "Equivalence", to emphasize that we can assume practical equivalence for effects, but that we cannot accept the H0 (in a frequentist framework).

  • Added some examples and cross references between docs. Furthermore, a vignette about plotting functions for the datawizard package was added.

Bug fixes
  • Fixed issue with duplicated legend in the plot() method for performance::check_predictions().

  • Fixes issue in plot.binned_residuals() for models whose residuals were completely inside error bounds.

  • plot() now works when using it on the output of describe_distribution() with a select argument of length 1.

Files

easystats/see-0.8.0.zip

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