Breaking Changes

• Data points in plot() for objects from parameters::model_parameters() were
  sorted in reverse order when using the sort argument. This was fixed, thus,
  sort = "ascending" now sorts the data in ascending order in plot/math logic.

Major Changes

• Daniel Lüdecke is now the main maintainer of the package.

• Several plot() methods gain a theme argument, to control the visual
  themes for plots. This is in particular useful for plots that consist of
  several single plots, like the one returned by check_model().

Changes

• plot() for check_model() now limits the number of data points for models
  with many observations, to reduce the time for rendering the plot. Use argument
  maximum_dots to define the maximum number of data points to show.

• plot() for check_model() extracts the show_ci attribute from objects
  returned by check_model(), to show or hide confidence intervals.

Breaking Changes

• The minimum needed R version has been bumped to 4.1, since {correlation},
  a runtime dependency, requires it.

Major Changes

• plot() for performance::check_normality() now also supports objects from
  psych::fa(), psych::principal() and parameters::factor_analysis().

• plot() for performance::check_outliers() gets a new "scree" type option,
  to create a scree plot of outlier statistics.

• Minor re-labelling of axis titles and subtitles in plot() for
  performance::check_residuals().

• Updates the package to adapt to the changes in the latest {ggplot2}
  release.

• Themes get an axis.text.space argument, to define the spacing between axis
  lines and axis labels. Due to changes in {ggplot2}, the default spacing was
  slightly changed, now it can be set to the desired value using this argument.

Changes

• All theme_*() function get a ... argument that is passed to
  ggplot2::theme().

• Arguments that change the size of elements in theme_*() functions (like
  plot.title.size or axis.text.size now scale with the base_size argument,
  to ensure proper scaling of plots when the base-size is changed.

• Added a new theme, theme_azurelight(), with a light-blue character, and
  reduced use of grid lines.

• theme_modern() now recognizes a show.ticks argument, to add tick marks
  to the plot and slightly increase the distance between axis labels and the
  related axis.

• Color scale functions (those starting with scale_*()) get a new "gradient"
  palette, which are simply the color values for blue and orange colors from that
  palette. Furthermore, color scale functions now automatically select an
  appropriate palette (usually, "contrast" or "gradient") depending on
  whether discrete or continuous color scales are requested.

Bug fixes

• Fixed issue with adding prior layers to plots from estimate_density().

Changes

• plot() for p_function() now checks the values of the size_length
  argument, to give an informative error message when the input is not valid.

• plot() for model_parameters() now also plots group-levels of random effects
  (i.e. for mixed models, when model_parameters(x, ..., group_level = TRUE)).

• plot() for model_parameters() gets a show_direction argument, to turn
  off the direction of the effect in the plot.

• plot() for model_parameters() now gives an informative error message when
  trying to plot Anova tables (which does not work).

• plot() for simulate_parameters() now better copes with models that have
  multiple response levels (e.g. multinomial models).

• Gains {patchwork} as a hard dependency given its importance for the package.

Bug fixes

• Fixed issue in plot() for bayestestR::si().

• Fixed issue in plot() for parameters::model_parameters() for GAM models.

Changes

• New plot() method for performance::check_dag().

• Minor improvements to plot() for methods p_direction() and p_significance(),
  which also support forthcoming changes in the parameters package.

Bug fixes

• Fixed issue in plot() for performance::check_model() when package qqplotr
  is not installed.

Major Changes

• The minimum needed R version has been bumped to 4.0.

Minor Changes

• Improved scaling for detrended QQ plots when package {qqplotr} is not installed.
  The normal and the detrended QQ plots are now visually more similar.

• Gets rid of warnings due to API changes in the {datawizard} package.

Bug fixes

• Fixed CRAN test failures.

Minor Changes

• Fixes warnings generated from the {ggplot2} 3.5.0 release.

• Small adjustment to size of point geoms for check_model() plots.

• More arguments to change base font sizes and geom sizes are now passed to
  downstream plot-functions (i.e., plot() for check_model() passes arguments
  to change geom sizes to the underlying plot-functions).

• plot() for check_predictions() now supports Bayesian regression models from
  brms and rstanarm.

Bug fixes

• Corrected order of models for plot.compare_parameters().

Major changes

• New plot() method for simulated residuals (implemented in the performance
  package).

• plot() for check_model() was revised and now includes more accurate Q-Q
  plots for non-Gaussian models.

Minor Changes

• plot.check_model() now passes arguments size_point and size_line to the
  posterior predictive check plot.

• Minor changes regarding the latest update of ggplot2.

Minor Changes

• plot.n_factors() now shows a dashed line over the bars, indicating the
  cumulate explained variance by the number of factors.

• plot.check_outliers() now dodges the x-axis labels, to avoid overlapping
  labels.

Major Changes

• This release changes the licensing model of {see} to an MIT license.

New features

• There is now a plot() method for outputs of datawizard::data_tabulate()
  (#293).

Minor Changes

• The print() method for performance::check_model() now also evaluates the
  default plot type for posterior predictive checks.

• QQ/PP-plots now default to drawing simultaneous testing bands (when the
  qqplotr package is available). Previous behavior can be restored by setting
  method = "pointwise".

• Plot method for performance::check_normality() now default to a detrended
  QQ-plot. Previous behavior can be restored by setting type = "density".

• Plot method for binned_residuals() gains a show_smooth argument, to show
  or hide the smooth line.

• Plot method for check_predictions() gains a x_limits argument, to limit
  the x-axis-range. This can be useful to "zoom in" certain parts of the plot.