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

Downloads:

Reference manual: pvclust.pdf
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: pvclust_2.2-0.tgz, r-oldrel: pvclust_2.2-0.tgz
Old sources: pvclust archive

Reverse dependencies:

Reverse depends: deltaGseg, SRGnet
Reverse imports: BinMat, Clustering, OpenRepGrid, PANR, RPANDA, scaleboot
Reverse suggests: clonotypeR, dendextend, isocat, RedeR, svs

Linking:

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