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Rsfar: Seasonal Functional Autoregressive Models

This is a collection of functions designed for simulating, estimating and forecasting seasonal functional autoregressive time series of order one. These methods are addressed in the manuscript: <https://www.monash.edu/business/ebs/research/publications/ebs/wp16-2019.pdf>.

Version: 0.0.1
Depends: fda
Published: 2021-05-10
DOI: 10.32614/CRAN.package.Rsfar
Author: Hossein Haghbin ORCID iD [aut, cre], Rob Hyndman [aut]
Maintainer: Hossein Haghbin <haghbinh at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/haghbinh/Rsfar
NeedsCompilation: no
Materials: README
In views: TimeSeries
CRAN checks: Rsfar results

Documentation:

Reference manual: Rsfar.pdf

Downloads:

Package source: Rsfar_0.0.1.tar.gz
Windows binaries: r-devel: Rsfar_0.0.1.zip, r-release: Rsfar_0.0.1.zip, r-oldrel: Rsfar_0.0.1.zip
macOS binaries: r-release (arm64): Rsfar_0.0.1.tgz, r-oldrel (arm64): Rsfar_0.0.1.tgz, r-release (x86_64): Rsfar_0.0.1.tgz, r-oldrel (x86_64): Rsfar_0.0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Rsfar to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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