VALIDICLUST
0.1.0VALID Inference for Clusters Separation Testing
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Overview
About
Given a partition resulting from any clustering algorithm, the implemented tests allow valid post-clustering inference by testing if a given variable significantly separates two of the estimated clusters. Methods are detailed in: Hivert B, Agniel D, Thiebaut R & Hejblum BP (2022). "Post-clustering difference testing: valid inference and practical considerations", arXiv:2210.13172.
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- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
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READMEYes · 527 wordsVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 33%
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Dependencies
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2 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.6
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Listed in earlier versions (1)
no longer listed · 0.1.0
Package Timeline
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
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Package metadata
- First published
- 2022-12-01
- Total releases
- 1 / 4 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.6
- Download size
- 6.2 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet