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
DOI: 10.32614/CRAN.package.pvclust
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


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 (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, CBNplot, Clustering, OpenRepGrid, PANR, RPANDA, scaleboot, signeR
Reverse suggests: BiodiversityR, dendextend, ggtreeDendro, isocat, parameters, svs


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