#' Functions for Benchmarking Time Series Prediction
#'
#' Functions for time series preprocessing, decomposition, prediction and
#' accuracy assessment using automatic linear modelling. The generated linear models
#' and its yielded prediction errors can be used for benchmarking other time series
#' prediction methods and for creating a demand for the refinement of such methods.
#' For this purpose, benchmark data from prediction competitions may be used.
#'
#' @docType package
#' @name TSPred-package
#' @author Rebecca Pontes Salles
#'
#' Maintainer: rebeccapsalles@acm.org
#' @keywords package
NULL # Instead of "_PACKAGE" to remove inclusion of \alias{forecast}
# "_PACKAGE"
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