sdrt
1.0.0Estimating the Sufficient Dimension Reduction Subspaces in Time Series
Overview
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.
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- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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- RR 4.6.0 released · 2026-04-24
- 1.0.0Latest2026-03-10 · current release
Package metadata
- First published
- 2024-03-28
- Total releases
- 1 / 2 yrs
- License
- GPL-2 | GPL-3 OSI
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