Package: Rsfar 0.0.1

Hossein Haghbin

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>.

Authors:Hossein Haghbin [aut, cre], Rob Hyndman [aut]

Rsfar_0.0.1.tar.gz
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Rsfar_0.0.1.tgz(r-4.4-any)Rsfar_0.0.1.tgz(r-4.3-any)
Rsfar_0.0.1.tar.gz(r-4.5-noble)Rsfar_0.0.1.tar.gz(r-4.4-noble)
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Rsfar.pdf |Rsfar.html✨
Rsfar/json (API)

# Install 'Rsfar' in R:
install.packages('Rsfar', repos = c('https://robjhyndman.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/haghbinh/rsfar/issues

On CRAN:

2.30 score 4 stars 160 downloads 4 exports 48 dependencies

Last updated 4 years agofrom:3a083855ae. Checks:OK: 7. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-winOKNov 14 2024
R-4.5-linuxOKNov 14 2024
R-4.4-winOKNov 14 2024
R-4.4-macOKNov 14 2024
R-4.3-winOKNov 14 2024
R-4.3-macOKNov 14 2024

Exports:Bdiaginvsqrtrsfarsfar

Dependencies:ashbitopscliclustercolorspacedeSolvefansifarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRCurlrlangscalestibbleutf8vctrsviridisLitewithr