see 0.8.4

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().

see 0.8.3

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.

see 0.8.2

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.

see 0.8.1

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.

see 0.8.0

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.

see 0.7.5

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.

see 0.7.4

Changes

• Updates docs and tests for {ggplot2} release (3.4.0).

• New function scale_color_colorhex() provides color scales based on palettes
  from https://www.color-hex.com (#245).

• The default for the smoothing bandwidth from plot.check_predictions() has
  changed from "nrd0" to "nrd", which seems to produce better fitting plots
  for non-Gaussian models. Furthermore, performance::check_predictions()
  accepts a bw argument (smoothing bandwidth), which is passed down to the
  plot() method's density-estimation.

Bug fixes

• Fixed issues with plot() for check_outliers() for models with convergence
  issues.

see 0.7.3

Changes

• Indrajeet Patil is now the maintainer.

• The minimum needed R version has been bumped to 3.6.

• Replaced deprecated arguments in function calls.

Bug fixes

• Fixed issues in the plot() method from model_parameters() for
  intercept-only models.

see 0.7.2

Changes

• Added aesthetics argument to all color and fill scale functions so that
  the same scale can be applied to multiple aesthetics and so that the functions
  can be used with other aesthetics from other packages (e.g., edge_color).

• Added Okabe-Ito color palette (palette_okabeito, scale_color_okabeito())
  etc.)

• Several minor improvements.

Bug fixes

• Fixed CRAN check issues.

see 0.6.7

General

• check_model() function now uses patchwork instead of gridExtra to
  arrange plots in a grid.

• Reduced/removed some package dependencies.

• Revise plot() for bayestestR::bayesfactor() to meet forthcoming changes in
  the bayestestR package.

New features

• New functions geom_from_list and geoms_from_list to create geoms from
  lists.

• Plotting for normality check is now supported for afex_aov models.

Bug fixes

• Fixed issue that argument show_intercept is no longer ignored in plot()
  for rope().