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 depends:	CancerSubtypes
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.