Package: forecastSNSTS
Title: Forecasting for Stationary and Non-Stationary Time Series
Version: 1.0-0
Authors@R: c(person("Tobias", "Kley", email = "t.kley@lse.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")))
Description: Methods to compute linear h-step prediction coefficients based
    on localised and iterated Yule-Walker estimates and empirical mean square
    prediction errors for the resulting predictors.
Depends: R (>= 3.2.3)
License: GPL (>= 2)
URL: http://github.com/tobiaskley/forecastSNSTS
BugReports: http://github.com/tobiaskley/forecastSNSTS/issues
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp
Imports: Rcpp
Collate: 'RcppExports.R' 'forecastSNSTS-package.R' 'models.R' 'mspe.R'
RoxygenNote: 5.0.1
Suggests: testthat
NeedsCompilation: yes
Packaged: 2016-11-11 16:45:03 UTC; kley
Author: Tobias Kley [aut, cre],
  Philip Preuss [aut],
  Piotr Fryzlewicz [aut]
Maintainer: Tobias Kley <t.kley@lse.ac.uk>
Repository: CRAN
Date/Publication: 2016-11-12 00:55:39
