ZeBang/timeFA: Factor and Autoregressive Models for Tensor Time Series

Factor and autoregressive models for matrix and tensor valued time series. We provide functions for estimation, simulation and prediction. The models are discussed in Li et al (2021) <doi:10.48550/arXiv.2110.00928>, Chen et al (2020) <DOI:10.1080/01621459.2021.1912757>, Chen et al (2020) <DOI:10.1016/j.jeconom.2020.07.015>, and Xiao et al (2020) <doi:10.48550/arXiv.2006.02611>.

Getting started

Package details

AuthorZebang Li [aut, cre], Ruofan Yu [aut], Rong Chen [aut], Yuefeng Han [aut], Han Xiao [aut], Dan Yang [aut]
MaintainerZebang Li <zl326@stat.rutgers.edu>
LicenseGPL (>= 2)
Version1.0.2
URL https://github.com/zebang/tensorTS
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("ZeBang/timeFA")
ZeBang/timeFA documentation built on June 10, 2025, 8:13 p.m.