#' HTDV: Hypothesis Testing for Dependent Variables with Unbalanced Data
#'
#' Implements hierarchical Bayesian inference, robust frequentist inference,
#' and distribution-free inference for dependent and unbalanced data under
#' strong-mixing conditions.
#'
#' @section Main functions:
#' \itemize{
#'   \item \code{\link{htdv_fit}}: unified hierarchical Bayesian fit via HMC.
#'   \item \code{\link{htdv_tac}}, \code{\link{htdv_wsc}}, \code{\link{htdv_mpc}}:
#'         convergence-regime-specific fits.
#'   \item \code{\link{htdv_whittle}}, \code{\link{htdv_composite}}:
#'         likelihood surrogates for dependent data.
#'   \item \code{\link{htdv_envelope}}: Berger-robust posterior envelope.
#'   \item \code{\link{htdv_lrv}}: long-run variance with Newey-West and
#'         Andrews bandwidth.
#'   \item \code{\link{htdv_fixedb}}: fixed-bandwidth HAR inference
#'         (Kiefer-Vogelsang 2005).
#'   \item \code{\link{htdv_boot}}: block bootstrap with Patton-Politis-White
#'         automatic block length.
#'   \item \code{\link{htdv_conformal}}: adaptive conformal inference
#'         (Gibbs-Candes 2021).
#'   \item \code{\link{htdv_rope}}: posterior decision under Region of
#'         Practical Equivalence (Kruschke 2018).
#'   \item \code{\link{htdv_bf}}: bridge-sampling Bayes factor.
#'   \item \code{\link{htdv_waic_lfo}}: WAIC and leave-future-out
#'         cross-validation.
#'   \item \code{\link{htdv_stack}}: predictive stacking across models.
#'   \item \code{\link{htdv_diagnostics}}, \code{\link{htdv_ppc}}:
#'         MCMC diagnostics and posterior-predictive checks.
#'   \item \code{\link{htdv_equivalence_constants}}: explicit numerical
#'         constants for TAC/WSC/MPC metric equivalence.
#' }
#'
#' @docType package
#' @name HTDV-package
#' @aliases HTDV
#' @keywords internal
"_PACKAGE"
