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@strengejacke strengejacke released this 22 Nov 05:22
· 613 commits to main since this release
0.20.0
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Learn about vigilant mode.

Breaking

  • The deprecated argument df_method in model_parameters() is now defunct
    and throws an error when used.

  • The deprecated functions ci_robust(), p_robust() and standard_error_robust
    have been removed. These were superseded by the vcov argument in ci(),
    p_value(), and standard_error(), respectively.

  • The style argument in compare_parameters() was renamed into select.

New functions

  • p_function(), to print and plot p-values and compatibility (confidence)
    intervals for statistical models, at different levels. This allows to see
    which estimates are most compatible with the model at various compatibility
    levels.

  • p_calibrate(), to compute calibrated p-values.

Changes

  • model_parameters() and compare_parameters() now use the unicode character
    for the multiplication-sign as interaction mark (i.e. \u00d7). Use
    options(parameters_interaction = <value>) or the argument interaction_mark
    to use a different character as interaction mark.

  • The select argument in compare_parameters(), which is used to control the
    table column elements, now supports an experimental glue-like syntax.
    See this vignette Printing Model Parameters. Furthermore, the select
    argument can also be used in the print() method for model_parameters().

  • print_html() gets a font_size and line_padding argument to tweak the
    appearance of HTML tables. Furthermore, arguments select and column_labels
    are new, to customize the column layout of tables. See examples in ?display.

  • Consolidation of vignettes on standardization of model parameters.

  • Minor speed improvements.

Bug fix

  • model_parameters().BFBayesFactor no longer drops the BF column if the
    Bayes factor is NA.

  • The print() and display() methods for model_parameters() from Bayesian
    models now pass the ... to insight::format_table(), allowing extra
    arguments to be recognized.

  • Fixed footer message regarding the approximation method for CU and p-values
    for mixed models.

  • Fixed issues in the print() method for compare_parameters() with mixed
    models, when some models contained within-between components (see
    wb_component) and others did not.

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