#' statease: Simplified Statistical Analysis with Plain-English Interpretation
#'
#' @description
#' statease provides a suite of functions for performing common statistical
#' analyses and automatically interpreting the results in plain English.
#' It is designed for students, researchers, and educators who want fast,
#' readable statistical output without sacrificing rigour.
#'
#' @section Main Functions:
#' \describe{
#'   \item{\code{\link{analyze}}}{Master function — auto-detects and runs the right test}
#'   \item{\code{\link{describe}}}{Descriptive statistics with interpretation}
#'   \item{\code{\link{ttest_interpret}}}{T-tests (one-sample, independent, paired) with Cohen's d}
#'   \item{\code{\link{anova_interpret}}}{One-way ANOVA with Tukey post-hoc and eta squared}
#'   \item{\code{\link{interpret_p}}}{Standalone p-value interpreter}
#' }
#'
#' @section Typical Workflow:
#' The simplest way to use statease is through the master \code{analyze()}
#' function, which automatically detects what test to run based on your input:
#'
#' \preformatted{
#' # Descriptive statistics
#' analyze(x = my_vector, var_name = "My Variable")
#'
#' # Independent samples t-test
#' analyze(x = group1, y = group2, var_name = "Scores")
#'
#' # One-way ANOVA
#' analyze(formula = score ~ group, data = my_df)
#'
#' # Interpret a p-value
#' interpret_p(0.03, context = "treatment vs control")
#' }
#'
#' @author Uwakmfon Usen Paul
#'
#' @importFrom stats IQR TukeyHSD aov bartlett.test median na.omit quantile sd shapiro.test t.test var.test chisq.test cor.test lm confint residuals fitted pf coef
#' @docType package
#' @name statease
"_PACKAGE"
