CRAN/E | VALIDICLUST

VALIDICLUST

VALID Inference for Clusters Separation Testing

Installation

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", .

Key Metrics

Version 0.1.0
R ≥ 3.6
Published 2022-12-01 520 days ago
Needs compilation? no
License MIT
License File
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Maintainer

Maintainer

Benjamin Hivert

benjamin.hivert@u-bordeaux.fr

Authors

Benjamin Hivert

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 3.6

Imports

diptest
dplyr