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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>.

Versions across snapshots

VersionRepositoryFileSize
0.0.1 rolling linux/jammy R-4.5 Rsfar_0.0.1.tar.gz 28.2 KiB
0.0.1 rolling linux/noble R-4.5 Rsfar_0.0.1.tar.gz 28.0 KiB
0.0.1 rolling source/ R- Rsfar_0.0.1.tar.gz 6.0 KiB
0.0.1 latest linux/jammy R-4.5 Rsfar_0.0.1.tar.gz 28.2 KiB
0.0.1 latest linux/noble R-4.5 Rsfar_0.0.1.tar.gz 28.0 KiB
0.0.1 latest source/ R- Rsfar_0.0.1.tar.gz 6.0 KiB
0.0.1 2026-04-26 source/ R- Rsfar_0.0.1.tar.gz 6.0 KiB
0.0.1 2026-04-23 source/ R- Rsfar_0.0.1.tar.gz 6.0 KiB
0.0.1 2026-04-09 windows/windows R-4.5 Rsfar_0.0.1.zip 30.8 KiB
0.0.1 2025-04-20 source/ R- Rsfar_0.0.1.tar.gz 6.0 KiB

Dependencies (latest)

Depends