`plot()`

for`parameters::model_parameters()`

now supports models from package*metaBMA*`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 maintainace 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.