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", .


Reference manual

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install.packages("VALIDICLUST")

0.1.0 by Benjamin Hivert, 4 years ago


Browse source code at https://github.com/cran/VALIDICLUST


Authors: Benjamin Hivert


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports diptest, dplyr


See at CRAN