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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "forecastSNSTS" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'forecastSNSTS: Forecasting for Stationary and Non-Stationary Time Series'
version: 1.3-0
doi: 10.32614/CRAN.package.forecastSNSTS
abstract: Methods to compute linear h-step ahead prediction coefficients based on
  localised and iterated Yule-Walker estimates and empirical mean squared and absolute
  prediction errors for the resulting predictors. Also, functions to compute autocovariances
  for AR(p) processes, to simulate tvARMA(p,q) time series, and to verify an assumption
  from Kley et al. (2019), Electronic of Statistics, forthcoming. Preprint <arXiv:1611.04460>.
authors:
- family-names: Kley
  given-names: Tobias
  email: tobias.kley@bristol.ac.uk
- family-names: Preuss
  given-names: Philip
  email: philip.preuss@rub.de
- family-names: Fryzlewicz
  given-names: Piotr
  email: p.fryzlewicz@lse.ac.uk
repository: https://cranhaven.r-universe.dev
repository-code: http://github.com/tobiaskley/forecastSNSTS
commit: 1f77791c7c1d3c93fb6a7d9df2e5f4868a01eb7a
url: http://github.com/tobiaskley/forecastSNSTS
date-released: '2026-05-08'
contact:
- family-names: Kley
  given-names: Tobias
  email: tobias.kley@bristol.ac.uk