Robust Factor Analysis for Tensor Time Series R package RTFA version 0.1.0 CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries) Tensor Factor Models (TFM) are appealing dimension reduction tools for high-order tensor time series, and have wide applications in economics, finance and medical imaging. We propose an one-step projection estimator by minimizing the least-square loss function, and further propose a robust estimator with an iterative weighted projection technique by utilizing the Huber loss function. The methods are discussed in Barigozzi et al. (2022) <arXiv:2206.09800>, and Barigozzi et al. (2023) <arXiv:2303.18163>. Software Depends: R (>= 3.5.0) Imports: rTensor, tensor Lingxiao Li <lilingxiao@mail.sdu.edu.cn> Comprehensive R Archive Network (CRAN) Matteo Barigozzi [aut], Yong He [aut], Lorenzo Trapani [aut], Lingxiao Li [aut, cre] GPL (>= 2) 2023-04-10 application/tgz https://CRAN.R-project.org/package=RTFA doi:10.32614/CRAN.package.RTFA