#'
#' @aliases ardl-package
#' @title ardl-package
#' @description Auto Regressive Distributed Lag (ARDL) for time series is a package to estimate dynamic models with lagged regressors and lagged dependent variable.
#'
#' @details A single equation (univariate) model is estimated with the ARDL framework presented by \cite{Pesaran1999} and \cite{Pesaran2001}.
#' This version also supports automatic identification of the best model according to different selection criteria (BIC; AIC, R2 and LL).
#' It also provides tools to visualize the cointegration (long-term) relation and to test it using the bounds test procedure.
#'
#' \code{\link{ardl}} is the core function that relies on package \code{dynlm} to estimate the dynamic models.
#' \code{\link{auto.ardl}} uses \code{\link{ardl}} to find the best specification.
#' \code{\link{coint}} presents the two sets of coefficients: long-run (LR) and short-run (SR).
#' \code{\link{bounds.test}} tests the existence of a long-run relationship with I(0) or I(1) regressors.
#' Note that \code{print} and \code{summary} work as for any linear model.
#'
"_PACKAGE"
#> [1] "_PACKAGE"
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