haghbinh/sfar: 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>.

Getting started

Package details

Maintainer
LicenseGPL (>= 2)
Version0.0.1
URL https://github.com/haghbinh/Rsfar
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("haghbinh/sfar")
haghbinh/sfar documentation built on May 22, 2021, 2:01 p.m.