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#' \code{ggstatsplot}
#'
#' @title ggstatsplot: 'ggplot2' Based Plots with Statistical Details
#'
#' @description
#'
#' `{ggstatsplot}` is an extension of `{ggplot2}` package. It creates
#' graphics with details from statistical tests included in the plots
#' themselves. It provides an easier `API` to generate information-rich plots
#' for statistical analysis of continuous (violin plots, scatterplots,
#' histograms, dot plots, dot-and-whisker plots) or categorical (pie and bar
#' charts) data. Currently, it supports the most common types of statistical
#' tests: parametric, nonparametric, robust, and Bayesian versions of
#' *t*-test/ANOVA, correlation analyses, contingency table analysis,
#' meta-analysis, and regression analyses.
#'
#' @details
#'
#' The main functions are:
#'
#' - `ggbetweenstats()` function to produce information-rich comparison plot
#' *between* different groups or conditions with `{ggplot2}` and details from
#' the statistical tests in the subtitle.
#'
#' - `ggwithinstats()` function to produce information-rich comparison plot
#' *within* different groups or conditions with `{ggplot2}` and details from
#' the statistical tests in the subtitle.
#'
#' - `ggscatterstats()` function to produce `{ggplot2}` scatterplots along
#' with a marginal distribution plots from `{ggside}` package and details from
#' the statistical tests in the subtitle.
#'
#' - `ggpiestats()` function to produce pie chart with details from the
#' statistical tests in the subtitle.
#'
#' - `ggbarstats()` function to produce stacked bar chart with details from
#' the statistical tests in the subtitle.
#'
#' - `gghistostats()` function to produce histogram for a single variable with
#' results from one sample test displayed in the subtitle.
#'
#' - `ggdotplotstats()` function to produce Cleveland-style dot plots/charts
#' for a single variable with labels and results from one sample test
#' displayed in the subtitle.
#'
#' - `ggcorrmat()` function to visualize the correlation matrix.
#'
#' - `ggcoefstats()` function to visualize results from regression analyses.
#'
#' - `combine_plots()` helper function to combine multiple `{ggstatsplot}`
#' plots using `patchwork::wrap_plots()`.
#'
#' References: Patil (2021) \doi{10.21105/joss.03236}.
#'
#' For more documentation, see the dedicated
#' \href{https://indrajeetpatil.github.io/ggstatsplot/}{Website}.
#'
#' @docType package
#' @keywords internal
#' @aliases ggstatsplot ggstatsplot-package
#' @name ggstatsplot-package
"_PACKAGE"
## ggstatsplot namespace: start
#'
#' @import rlang
#' @import dplyr
#' @import ggplot2
#' @import statsExpressions
#' @import insight
#'
#' @importFrom glue glue
#' @importFrom paletteer scale_color_paletteer_d scale_fill_paletteer_d
#' @importFrom purrr pmap map
#' @importFrom correlation correlation
#' @importFrom patchwork wrap_plots plot_annotation
#'
## ggstatsplot namespace: end
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