Methods to compute linear h-step ahead prediction coefficients based
on localised and iterated Yule-Walker estimates and empirical mean squared
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 a paper by the authors.
'RcppExports.R' 'acfARp.R' 'f.R' 'forecastSNSTS-package.R'
'models.R' 'mspe.R'

Methods to compute linear h-step ahead prediction coefficients based
on localised and iterated Yule-Walker estimates and empirical mean squared
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. (2017),
Preprint arXiv:1611.04460 <http://arxiv.org/abs/1611.04460>.

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. (2017),
Preprint <http://personal.lse.ac.uk/kley/forecastSNSTS.pdf>.
'RcppExports.R' 'acfARp.R' 'f.R' 'forecastSNSTS-package.R'
'measure-of-accuracy.R' 'models.R'

c(person("Tobias", "Kley", email = "tobias.kley@bristol.ac.uk", role = c("aut", "cre")),
person("Philip", "Preuss", email = "philip.preuss@rub.de", role = c("aut")),
person("Piotr", "Fryzlewicz", email = "p.fryzlewicz@lse.ac.uk", role = c("aut")))
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>.