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-4.7)Rsfar_0.0.1.zip(r-4.6)Rsfar_0.0.1.zip(r-4.5)
Rsfar_0.0.1.tgz(r-4.6-any)Rsfar_0.0.1.tgz(r-4.5-any)
Rsfar_0.0.1.tar.gz(r-4.7-any)Rsfar_0.0.1.tar.gz(r-4.6-any)
Rsfar_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
Rsfar/json (API)

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

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

On CRAN:

Conda:

3.40 score 5 stars 232 downloads 4 exports 43 dependencies

Last updated from:3a083855ae. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK133
source / vignettesOK199
linux-release-x86_64OK132
macos-release-arm64OK135
macos-oldrel-arm64OK144
windows-develOK102
windows-releaseOK99
windows-oldrelOK82
wasm-releaseOK109

Exports:Bdiaginvsqrtrsfarsfar

Dependencies:ashbitopscliclustercolorspacecpp11deSolvefarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitMASSMatrixmclustmgcvmulticoolmvtnormnlmepcaPPpracmaR6rainbowRColorBrewerRcppRCurlrlangS7scalesvctrsviridisLitewithr