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VALIDICLUST

VALID Inference for Clusters Separation Testing

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>.

Versions across snapshots

VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 VALIDICLUST_0.1.0.tar.gz 26.4 KiB
0.1.0 rolling linux/noble R-4.5 VALIDICLUST_0.1.0.tar.gz 26.3 KiB
0.1.0 rolling source/ R- VALIDICLUST_0.1.0.tar.gz 6.2 KiB
0.1.0 latest linux/jammy R-4.5 VALIDICLUST_0.1.0.tar.gz 26.4 KiB
0.1.0 latest linux/noble R-4.5 VALIDICLUST_0.1.0.tar.gz 26.3 KiB
0.1.0 latest source/ R- VALIDICLUST_0.1.0.tar.gz 6.2 KiB
0.1.0 2026-04-26 source/ R- VALIDICLUST_0.1.0.tar.gz 6.2 KiB
0.1.0 2026-04-23 source/ R- VALIDICLUST_0.1.0.tar.gz 6.2 KiB
0.1.0 2026-04-09 windows/windows R-4.5 VALIDICLUST_0.1.0.zip 29.5 KiB
0.1.0 2025-04-20 source/ R- VALIDICLUST_0.1.0.tar.gz 6.2 KiB

Dependencies (latest)

Imports