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>.

Getting started

Package details

AuthorBenjamin Hivert
MaintainerBenjamin Hivert <benjamin.hivert@u-bordeaux.fr>
LicenseMIT + file LICENSE
Version0.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("VALIDICLUST")

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VALIDICLUST documentation built on Dec. 1, 2022, 9:05 a.m.