ggstatsplot

Automatically embeds detailed test results—including effect sizes, confidence intervals, and Bayesian estimates—directly into plots using gold-standard reporting formats, as demonstrated in the Yuen's test example in the README.

Allows seamless toggling between parametric, non-parametric, robust, and Bayesian statistical approaches within the same plotting functions, catering to diverse research methodologies without switching packages.

Provides grouped_ variants of all primary functions to easily repeat analyses across a single grouping variable, significantly reducing code duplication in exploratory workflows, as shown with grouped_ggbetweenstats().

Includes utilities like extract_subtitle() and extract_stats() to retrieve statistical details as data frames or expressions for use in custom plots or further processing, enhancing reproducibility and flexibility.