SHRED
1.0.0Setwise Hierarchical Rate of Erroneous Discovery
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Overview
About
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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Documentation · exports
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- OK2026-03-127 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation
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- Examples that run
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- Documented parameters
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- Return-value docs
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- 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
People & History
Package Timeline
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0.0Latest2026-03-12 · current release
- RR 4.5.0 released · 2025-04-11
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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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