Package: Rsfar 0.0.1

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
Rsfar_0.0.1.zip(r-4.5)Rsfar_0.0.1.zip(r-4.4)Rsfar_0.0.1.zip(r-4.3)
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)
Rsfar_0.0.1.tgz(r-4.4-emscripten)Rsfar_0.0.1.tgz(r-4.3-emscripten)
Rsfar.pdf |Rsfar.html✨
Rsfar/json (API)

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

Peer review:

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

On CRAN:

4 exports 4 stars 1.10 score 48 dependencies 171 downloads

Last updated 3 years agofrom:3a083855ae. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-winOKSep 14 2024
R-4.5-linuxOKSep 14 2024
R-4.4-winOKSep 14 2024
R-4.4-macOKSep 14 2024
R-4.3-winOKSep 14 2024
R-4.3-macOKSep 14 2024

Exports:Bdiaginvsqrtrsfarsfar

Dependencies:ashbitopscliclustercolorspacedeSolvefansifarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRCurlrlangscalestibbleutf8vctrsviridisLitewithr