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 
[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-prerel: Rsfar_0.0.1.zip, r-release: Rsfar_0.0.1.zip, r-oldrel: Rsfar_0.0.1.zip |
| macOS binaries: | r-prerel (arm64): Rsfar_0.0.1.tgz, r-release (arm64): Rsfar_0.0.1.tgz, r-oldrel (arm64): Rsfar_0.0.1.tgz, r-prerel (x86_64): Rsfar_0.0.1.tgz, r-release (x86_64): Rsfar_0.0.1.tgz |
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