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Rsfar  

Seasonal Functional Autoregressive Models
View on CRAN: Click here


Download and install Rsfar package within the R console
Install from CRAN:
install.packages("Rsfar")

Install from Github:
library("remotes")
install_github("cran/Rsfar")

Install by package version:
library("remotes")
install_version("Rsfar", "0.0.1")



Attach the package and use:
library("Rsfar")
Maintained by
Hossein Haghbin
[Scholar Profile | Author Map]
First Published: 2021-05-10
Latest Update: 2021-05-10
Description:
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: .
How to cite:
Hossein Haghbin (2021). Rsfar: Seasonal Functional Autoregressive Models. R package version 0.0.1, https://cran.r-project.org/web/packages/Rsfar. Accessed 16 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited Rsfar R package
View Rsfar citation profile
Other R packages that Rsfar depends, imports, suggests or enhances
Complete documentation for Rsfar
Functions, R codes and Examples using the Rsfar R package
Some associated functions: Bdiag . Rsfar-package . invsqrt . predict.sfar . rsfar . sfar . 
Some associated R codes: rsfar.R .  Full Rsfar package functions and examples
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