- This release changes the licensing model of
`{see}`

to an MIT license.

- There is now a
`plot()`

method for outputs of`datawizard::data_tabulate()`

(#293).

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.

`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.

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.

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.

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.

- Fixed issues with
`plot()`

for`check_outliers()`

for models with convergence issues.

Indrajeet Patil is now the maintainer.

The minimum needed R version has been bumped to

`3.6`

.Replaced deprecated arguments in function calls.

- Fixed issues in the
`plot()`

method from`model_parameters()`

for intercept-only models.

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.

- Fixed CRAN check issues.

- Changed style for
`plot.check_collinearity()`

, which is now a dot-plot, including error bars.

`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.

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, …).

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

Add option to show density layers for Bayesian and bootstrapped models in

`plot()`

for`parameters::model_parameters()`

.Negative coefficients in

`plot()`

for`parameters::model_parameters()`

are now always red.Improve support for

`parameters::model_parameters()`

from*emmeans*objects.Updated code and examples to work with new API decisions made for the

*performance*package.

- Fix density plots for frequentist models.

`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 functions

`geom_from_list`

and`geoms_from_list`

to create geoms from lists.Plotting for normality check is now supported for

`afex_aov`

models.

- Fixed issue that argument
`show_intercept`

is no longer ignored in`plot()`

for`rope()`

.

Added plot-function for

`parameters::compare_parameters()`

.Added option to

`detrend`

QQ/PP plots.

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.

Fixed issue with wrong labelling of CI-levels for

`plot.see_hdi()`

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

`plot()`

for`performance::check_normality()`

gains a`alpha`

-argument, to change the alpha-level of confidence bands.The

`...`

argument for`geom_violindot()`

is now also passed to to`geom_violinhalf()`

, allowing, e.g., to change the alpha value of the violin-geoms as well.Reorganized order of arguments in

`geom_violindot()`

, so aesthetics arguments like`fill`

are not absorbed by partial matching for arguments like`fill_dots`

.

`plot()`

for`performance::check_normality()`

shows more accurate QQ-plots.`plot()`

for`performance::check_normality()`

show correct confidence bands for QQ- and PP-plots (with`qqplotr`

). Previous bands were extremely narrow!

`plot()`

for`parameters::model_parameters()`

now supports models from package*metaBMA*`plot()`

for`parameters::model_parameters()`

gains a`weight_points`

argument, to adjust the point-size depending on study-weights for meta-analysis models.`plot()`

for`parameters::model_parameters()`

now labels the x-axis depending on model-type (i.e. “Odds Ratio” instead of “Exp(Estimate)”) when this information is available.

- Minor fix in
`plot()`

for`parameters::model_parameters()`

for`brmsfit`

models.

- 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.

Added plot-function for

`parameters::model_parameters()`

for brms-meta-analysis models.Added plot-function for

`performance::pp_check()`

.

`plot()`

for`parameters::model_parameters()`

gains a`size_text`

-argument, to add text values for estimates and confidence intervals to the plot (see also vignette).`plot()`

for`parameters::model_parameters()`

from meta-analysis models (e.g. from*metafor*) gains a`type`

argument, to create funnel plots with`type = "funnel"`

.`plot()`

for`bayestestR::estimate_density()`

and`parameters::simulate_parameters()`

were revised, and now also include the point-estimate and error bar. Therefore, arguments`centrality`

and`ci`

were added.

Fixed bug in

`plot.model_parameters()`

when`standardize`

was`"basic"`

,`"smart"`

or`"posthoc"`

.Fixed wrong axis labelling for ROC-curves (from

`performance::performance_roc()`

).

`plot()`

for`correlation::correlation()`

gains a`type`

and`size`

argument, to plot correlation matrices either as tiles or circles.

Added new color-palettes.

Palettes for existing color scales have been revamped.

Added

`"light"`

palettes for dark themes.

Plot-function for

`parameters::describe_distribution()`

gains`highlight`

,`highlight_color`

and`size`

arguments.Plot-function for

`parameters::describe_distribution()`

now uses thin bars for variables with integer values (instead of less precise histogram).Plot-function for

`performance::check_normality()`

gains`size`

and`point_size`

arguments.Plot-function for

`performance::check_normality()`

now also plots normality of random effects, when`check_normality(effects = "random")`

was called.Legend labels nopw show a percentage-sign where applicable (for instance, for

`plot.hdi()`

).

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.

`golden_ratio()`

was added as a helper to get nice proportions.

Added plot-function for

`correlation::summary()`

.Added plot-function for

`parameters::describe_distribution()`

.Added plot-function for

`effectsize::equivalence_test()`

.Added plot-function for various effectsize-functions, like

`effectsize::eta_squared()`

.

`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()`

.

- Reduce package dependencies.

- Added plot-function for
`correlation::correlation()`

.

`plot()`

for`model_parameters.rma()`

now arranges facets by subgroups (see vignettes).minor improvements to

`plot()`

for`parameters::cluster_analysis()`

.minor improvements to

`plot()`

for`parameters::model_parameters.brmsfit()`

.Plot-function for

`bayestestR::si()`

gets a`support_only`

argument, to plot only the support data or the “raw” prior and posterior distributions.

- 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.

Added plot-function for

`performance::compare_performance()`

.Added plot-function for

`bayestestR::si()`

.

`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).

Fixed issue with group coloring for

`parameters::model_parameters()`

when`exponentiate = TRUE`

.Fixes issue with

`plot.point_estimate()`

for vectors.

`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.

Added

`coord_radar`

for radar charts.Added plot-function for

`parameters::cluster_analysis()`

.Added plot-function for

`parameters::principal_components()`

.Added plot-function for

`parameters::parameters_simulate()`

.Added plot-function for

`parameters::n_factors()`

.Added plot-function for

`bayestestR::p_significance()`

.

`plot()`

for`parameters::model_parameters()`

gets a`sort`

-argument to sort coefficients.`plot()`

for`parameters::model_parameters()`

now also create forest plots for meta-analysis.`plot()`

for`bayestestR::bayesfactor_parameters()`

only plots facets when necessary.`plot()`

for`performance::check_outliers()`

now also plot multiple methods in one plot.Following

`plot()`

methods get a`n_columns`

-argument, so model components like random effects or a zero-inflation component can be plotted in a multi-column layout:`bayestestR::p_direction()`

,`bayestestR::hdi()`

,`bayestestR::rope()`

,`bayestestR::equivalence_test()`

,`parameters::model_parameter()`

,`parameters::parameters_simulate()`

Following

`plot()`

methods get`priors`

and`priors_alpha`

arguments, to add a layer with prior samples to the plot:`bayestestR::p_direction()`

,`bayestestR::estimate_density()`

,`bayestestR::point_estimate()`

More comprehensive examples available from the package-website.

Added new color-palettes.

Added plot-function for

`parameters::model_parameters()`

.Added plot-function for

`bayestestR::point_estimate()`

.

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()`

).

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

`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**).

`theme_lucid()`

, a light and clear theme.

Added plot-function for

`performance::check_model()`

.Added plot-function for

`performance::check_normality()`

.Added plot-function for

`performance::check_heteroscedasticity()`

.Added plot-function for

`performance::check_outliers()`

.Added plot-function for

`performance::check_distribution()`

.Added plot-function for

`performance::check_collinearity()`

.Added plot-function for

`performance::check_homogeneity()`

.

`geom_poolpoint()`

and`geom_pooljitter()`

to draw pool ball points (points labelled with the observation name).

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