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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.

Version: 1.1.0.1
Depends: R (≥ 2.4.0), methods
Published: 2022-06-27
Author: Hanwen Huang, Yufeng Liu & J. S. Marron
Maintainer: Hanwen Huang <hanwenh.unc at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
In views: Cluster
CRAN checks: sigclust results

Documentation:

Reference manual: sigclust.pdf

Downloads:

Package source: sigclust_1.1.0.1.tar.gz
Windows binaries: r-devel: sigclust_1.1.0.1.zip, r-release: sigclust_1.1.0.1.zip, r-oldrel: sigclust_1.1.0.1.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sigclust to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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