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.

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.

Changes

• Changed the default "yellow" color in palette_okabeito() to "#F5C710"
  instead of "#F0E442" to increase visibility against a white background.
  For the original Okabe-Ito palette, set palette = "full_original" or
  palette = "black_first_original".

• Deals with deprecated arguments and functions in recent {ggplot2} updates.