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
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

Downloads:

Reference manual: Rsfar.pdf
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-release (x86_64): Rsfar_0.0.1.tgz, r-oldrel: Rsfar_0.0.1.tgz

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