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#' Rlibeemd: Ensemble empirical mode decomposition (EEMD) and its complete variant (CEEMDAN)
#'
#' Package Rlibeemd contains functions for the ensemble empirical mode decomposition (EEMD),
#' its complete variant (CEEMDAN) or the regular empirical mode decomposition (EMD).
#'
#' Package is based on the libeemd C library: \url{https://bitbucket.org/luukko/libeemd}
#' @references
#' \itemize{
#' \item{P. Luukko, J. Helske and E. Räsänen,
#' "Introducing libeemd: A program package for performing the ensemble empirical mode decomposition", Computational Statistics (2015).}
#' \item{ Z. Wu and N. Huang, "Ensemble Empirical Mode Decomposition: A
#' Noise-Assisted Data Analysis Method", Advances in Adaptive Data Analysis,
#' Vol. 1 (2009) 1--41.}
#' \item{ N. E. Huang, Z. Shen and S. R. Long, "A new view of nonlinear water
#' waves: The Hilbert spectrum", Annual Review of Fluid Mechanics, Vol. 31
#' (1999) 417--457.}
#' \item{Torres et al, A Complete Ensemble Empirical Mode Decomposition with Adaptive Noise
#' IEEE Int. Conf. on Acoust., Speech and Signal Proc. ICASSP-11,
#' (2011) 4144--4147.}
#' }
#' @docType package
#' @name Rlibeemd
#' @aliases Rlibeemd Rlibeemd-package
#' @useDynLib Rlibeemd
#' @import Rcpp
#' @importFrom stats time tsp "tsp<-"
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