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Minor Changes

  • 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

CRAN release: 2024-03-24

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

CRAN release: 2024-02-14

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

CRAN release: 2023-11-03

Major Changes

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

New features

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

CRAN release: 2023-06-05

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

see 0.7.5

CRAN release: 2023-03-23


  • 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

CRAN release: 2022-11-25


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

  • New function scale_color_colorhex() provides color scales based on palettes from (#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

see 0.7.3

CRAN release: 2022-09-20


  • 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

see 0.7.2

CRAN release: 2022-08-10


  • 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 0.7.1

CRAN release: 2022-06-20


  • Changed style for plot.check_collinearity(), which is now a dot-plot, including error bars.

Bug fixes

  • plot.check_model() did not apply the colors argument to all sub-plots.

  • plot() for model_parameters() could fail when model objects’ class attribute had more than one element.

see 0.7.0

CRAN release: 2022-03-31

  • Improved plotting for performance::check_model():

    • using more appropriate plots for binomial models

    • the redundant density-plot of normality-checks was replaced by the posterior predictive check plot.

    • includes a plot to investigate overdispersion for count-models.

  • Minor improvements for some plot-methods (colour tweaking, labelling, …).

see 0.6.9

CRAN release: 2022-02-15

  • Minor changes to catch up with changes from other easystats-packages.

see 0.6.8

CRAN release: 2021-10-03

New features

Bug fixes

  • Fix density plots for frequentist models.

see 0.6.5


  • 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().

see 0.6.3

CRAN release: 2021-04-09

New plot functions


  • Plot for SEM models now has arrows pointing from the latent variables towards the manifest variables.

  • The plot() method for check_model() was revised and should now be more consistent regarding titles and subtitles, as well as color schemes and plot order. Furthermore, the plot for influential observation was changed in order to better catch the potential influential observations.

  • The check_heteroscedasticity() plot contains a dashed horizontal line, which makes it to assess the homoscedasticity assumption.

  • The y-axis label for check_collinearity() plot clarifies that the measure being plotted is VIF. This was unclear when this plot was embedded in a grid of plots from check_model() containing multiple checks.

  • Plotting methods for performance_roc() and performance_accuracy() show correct labels now.

Bug fixes

  • Fixed issue with wrong labelling of CI-levels for plot.see_hdi().

  • Fixed minor issues due to breaking changes in other easystats-packages.

see 0.6.2

CRAN release: 2021-02-04

Changes to functions

Bug fixes

see 0.6.1

CRAN release: 2020-12-06

Changes to functions

Bug fixes

see 0.6.0

CRAN release: 2020-09-13

Breaking changes

  • Harmonized spelling of arguments. Formerly, we had text_size and size_text, or just size even if only in the context of text labels. We now tried to harmonize these kind of arguments to gain more consistency throughout the different plot() methods.

New plot functions

Changes to functions

Bug fixes

  • Fixed bug in plot.model_parameters() when standardize was "basic", "smart" or "posthoc".

  • Fixed wrong axis labelling for ROC-curves (from performance::performance_roc()).

see 0.5.2

CRAN release: 2020-07-27

Changes to functions

Color Scales and Palettes

  • Added new color-palettes.

  • Palettes for existing color scales have been revamped.

  • Added "light" palettes for dark themes.

see 0.5.1

CRAN release: 2020-06-13

Changes to functions

Bug fixes

  • Fixed issue with argument n_column in plot.p_significant(), plot.hdi(), and plot.p_direction(), which stopped working since R 4.0.0.

  • Fixed issue in plot.performance_roc() with swapped x/y axes.

see 0.5.0

CRAN release: 2020-04-25

New functions

New plot functions

Changes to functions

  • plot.estimate_density() now also works for density estimation of data frames.

  • plot.equivalence_test() now also works for frequentist models and data frames (see parameters::equivalence_test()).

  • Slightly changed plotting-style for plot.equivalence_test().

see 0.4.1

CRAN release: 2020-03-06


  • Reduce package dependencies.

New plot-functions

Changes to functions

see 0.4.0

CRAN release: 2020-01-15

Breaking changes

  • Arguments ncol and nrow in plots() were renamed into n_columns and n_rows to be consistent with arguments from other functions in the see-package.

New plot-functions

Changes to functions

  • plot()-functions for the bayestestR-package now also support BFBayesFactor and MCMCglmm objects.

  • plot() for parameters::model_parameters() now uses fixed axis for facets when model is an ordinal or cumulative link model (because all facets are on the same scale, and thus parameters are easier to compare).

Bug fixes

see 0.3.0

CRAN release: 2019-11-19

Breaking changes

  • how_to_plot() was removed for the time being, due to its inadequate maintenance effort. It might be re-implemented sometime in the future…


  • Improved layout (vertical alignment) for some plotting-functions for the bayestestR-package, when there was only one parameter. Plots now are closer to the x-axis, removing unnecessary empty space.

  • Labels and plot annotations are now more “human readable”, and labelling is more context sensitive.

New plot-functions

Changes to functions

see 0.2.1

CRAN release: 2019-08-01


  • More comprehensive examples available from the package-website.

  • Added new color-palettes.

New plot-functions

Changes to functions

  • The plot()-method for bayestestR::bayesfactor_savagedickey() gets a rope_color and a rope_alpha-argument to plot the “null”-interval, when the null-hypothesis is a region of practical equivalence, and not just the point-null.

  • The plot()-method for performance::binned_residuals() now also allows to modify size and colors of geoms (related arguments are in performance::binned_residuals()).

Bug fixes

  • Fixed issue with dark themes and text color in facet headings.

see 0.2.0

CRAN release: 2019-06-19


  • geom_point2() now accepts size-aesthetics when mapped to data.

  • Themes now get a base_size and base_family argument, in line with ggplot themes, to set the default size and family for plots.

  • plot()-methods now work for bayestestR functions that work on emmGrid-objects (created from pairwise comparison with package emmeans).

New themes

New plot-functions

New geoms

Bug fixes

  • Fixed issues with color codes in the flat-ui palette.