pvclust: Hierarchical Clustering with P-Values via Multiscale Bootstrap Resampling

An implementation of multiscale bootstrap resampling for assessing the uncertainty in hierarchical cluster analysis. It provides SI (selective inference) p-value, AU (approximately unbiased) p-value and BP (bootstrap probability) value for each cluster in a dendrogram.

Version:	2.2-0
Depends:	R (≥ 2.10.0)
Suggests:	MASS, parallel
Published:	2019-11-19
Author:	Ryota Suzuki, Yoshikazu Terada, Hidetoshi Shimodaira
Maintainer:	Ryota Suzuki <suzuki at ef-prime.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	http://stat.sys.i.kyoto-u.ac.jp/prog/pvclust/
NeedsCompilation:	no
In views:	Cluster, Environmetrics, HighPerformanceComputing
CRAN checks:	pvclust results

Documentation:

Reference manual:

pvclust.pdf

Downloads:

Package source:	pvclust_2.2-0.tar.gz
Windows binaries:	r-devel: pvclust_2.2-0.zip, r-release: pvclust_2.2-0.zip, r-oldrel: pvclust_2.2-0.zip
macOS binaries:	r-release (arm64): pvclust_2.2-0.tgz, r-oldrel (arm64): pvclust_2.2-0.tgz, r-release (x86_64): pvclust_2.2-0.tgz, r-oldrel (x86_64): pvclust_2.2-0.tgz
Old sources:	pvclust archive

Reverse dependencies:

Reverse depends:	deltaGseg
Reverse imports:	BinMat, chromatographR, Clustering, OpenRepGrid, PANR, RPANDA, scaleboot, TraRe
Reverse suggests:	clonotypeR, dendextend, isocat, parameters, svs

Linking:

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