R/sfar.r

In haghbinh/sfar: Seasonal Functional Autoregressive Models

#' Rsfar: A Package for Seasonal Functional Autoregressive Models.
#'
#' The Rsfar package provides the collection of necessary
#' functions for simulating, estimating and forecasting seasonal functional
#' autoregressive time series of order one.
#'
#'@details
#' Functional autoregressive models are popular for functional time series analysis, but
#' the standard formulation fails to address seasonal behavior in functional time series data.
#' To overcome this shortcoming, we introduce seasonal functional autoregressive time series
#' models. For the model of order one, we provide estimation, prediction and simulation methods.
#'
#'@seealso
#'  \code{\link{sfar}}, \code{\link{predict.sfar}},
#'
#'@references
#'   Atefeh Z., Hossein H., Maryam H., and R.J Hyndman (2021).
#'   Seasonal functional autoregressive models. Manuscript submitted for publication.
#'   \url{https://robjhyndman.com/publications/sfar/}
#'
#' @docType package
#' @name Rsfar-package
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