Estimating the Sufficient Dimension Reduction Subspaces in Time Series R package sdrt version 1.0.0 CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries) The sdrt() function is designed for estimating subspaces for Sufficient Dimension Reduction (SDR) in time series, with a specific focus on the Time Series Central Mean subspace (TS-CMS). The package employs the Fourier transformation method proposed by Samadi and De Alwis (2023) <doi:10.48550/arXiv.2312.02110> and the Nadaraya-Watson kernel smoother method proposed by Park et al. (2009) <doi:10.1198/jcgs.2009.08076> for estimating the TS-CMS. The package provides tools for estimating distances between subspaces and includes functions for selecting model parameters using the Fourier transformation method. Software Depends: R(>= 3.5.0), stats Imports: psych, tseries, pracma Suggests: rmarkdown, knitr Tharindu P. De Alwis <talwis@wpi.edu> Comprehensive R Archive Network (CRAN) Tharindu P. De Alwis [aut, cre] (ORCID: <https://orcid.org/0000-0002-3446-0502>), S. Yaser Samadi [ctb, aut] (ORCID: <https://orcid.org/0000-0002-6121-0234>) GPL-2 GPL-3 2024-03-28 application/tgz https://CRAN.R-project.org/package=sdrt doi:10.32614/CRAN.package.sdrt