Package: pvclust 2.2-0

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.

Authors:Ryota Suzuki <[email protected]>, Yoshikazu Terada <[email protected]>, Hidetoshi Shimodaira <[email protected]>

pvclust_2.2-0.tar.gz
pvclust_2.2-0.zip(r-4.7-any)pvclust_2.2-0.zip(r-4.6-any)pvclust_2.2-0.zip(r-4.5-any)
pvclust_2.2-0.tgz(r-4.6-any)pvclust_2.2-0.tgz(r-4.5-any)
pvclust_2.2-0.tar.gz(r-4.7-any)pvclust_2.2-0.tar.gz(r-4.6-any)
pvclust_2.2-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
pvclust/json (API)

# Install 'pvclust' in R:
install.packages('pvclust', repos = c('https://r-suzuki.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • lung - DNA Microarray Data of Lung Tumors

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6.74 score 5 stars 8 packages 1.1k scripts 4.2k downloads 442 mentions 7 exports 0 dependencies

Last updated from:ae5dc30851. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK96
source / vignettesOK198
linux-releaseOK97
macos-releaseOK148
macos-oldrelOK188
windows-develOK66
windows-releaseOK55
windows-oldrelOK70
wasm-releaseOK76

Exports:msfitmsplotparPvclustpvclustpvpickpvrectseplot

Dependencies: