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SHRED

1.0.0

Setwise Hierarchical Rate of Erroneous Discovery

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Overview

About
Maintained by Toby KenneyFirst published 2026-03-121 releasesCRAN page ↗

Setwise Hierarchical Rate of Erroneous Discovery (SHRED) methods for setwise variable selection with false discovery rate (FDR) control. Setwise variable selection means that sets of variables may be selected when the true variable cannot be identified. This allows us to maintain FDR control but increase power. Details of the SHRED methods are in Organ, Kenney & Gu (2026) doi:10.48550/arXiv.2603.02160.

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CRAN checks
13OK
Slowest check: 47 s · r-oldrel-windows-x86_64
Code health
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Tests · ratio 0.00
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Coverage
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Documentation · exports
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Check history
  • OK2026-03-12
    7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
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Examples that run
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Documented parameters
100%
Return-value docs
100%
References docs
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Dependencies

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1 external dependency (excludes base and recommended)
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Imports (3)
graphicsstatsClustOfVar
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Code & Tests

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People (3)
Maintainer (1)
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Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.0Latest
    2026-03-12 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-03-12
Total releases
1 / 1 yrs
License
GPL-3 OSI
Download size
not tracked yet
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