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", <doi:10.48550/arXiv.2210.13172>.
Version: |
0.1.0 |
Depends: |
R (≥ 3.6) |
Imports: |
diptest, dplyr |
Published: |
2022-12-01 |
Author: |
Benjamin Hivert |
Maintainer: |
Benjamin Hivert <benjamin.hivert at u-bordeaux.fr> |
License: |
MIT + file LICENSE |
NeedsCompilation: |
no |
Materials: |
README NEWS |
CRAN checks: |
VALIDICLUST results |
Documentation:
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