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sdrt

1.0.0

Estimating the Sufficient Dimension Reduction Subspaces in Time Series

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2.4Kdownloads / year
test coverage
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Overview

About
Maintained by Tharindu P. De AlwisFirst published 2024-03-281 releasesCRAN page ↗

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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Health

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13OK
Code health
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Tests · ratio 0.00
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100%
Documentation · exports
Yes
Vignettes
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README
4
Dependencies · direct
Check history
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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Also on382 r2u8 autocran
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Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (2)
R >= 3.5.0stats base
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Suggests (2)
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Code

1,915Lines of code
4Exported functions

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People & History

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Maintainer (1)
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Authors (1)
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Release timeline

1 releases. Pick two to compare their code metrics; R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.0Latest
    2026-03-10 · current release

Package metadata

First published
2024-03-28
Total releases
1 / 2 yrs
License
GPL-2 | GPL-3 OSI
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not tracked yet
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