sigclust: Statistical Significance of Clustering

SigClust is a statistical method for testing the significance of clustering results. SigClust can be applied to assess the statistical significance of splitting a data set into two clusters. For more than two clusters, SigClust can be used iteratively.

Depends: R (≥ 2.4.0), methods
Published: 2022-06-27
DOI: 10.32614/CRAN.package.sigclust
Author: Hanwen Huang, Yufeng Liu & J. S. Marron
Maintainer: Hanwen Huang <hanwenh.unc at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
In views: Cluster
CRAN checks: sigclust results


Reference manual: sigclust.pdf


Package source: sigclust_1.1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): sigclust_1.1.0.1.tgz, r-oldrel (arm64): sigclust_1.1.0.1.tgz, r-release (x86_64): sigclust_1.1.0.1.tgz, r-oldrel (x86_64): sigclust_1.1.0.1.tgz
Old sources: sigclust archive

Reverse dependencies:

Reverse imports: SCBiclust, SigFuge
Reverse suggests: diceR


Please use the canonical form to link to this page.