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-4.5)pvclust_2.2-0.zip(r-4.4)pvclust_2.2-0.zip(r-4.3)
pvclust_2.2-0.tgz(r-4.4-any)pvclust_2.2-0.tgz(r-4.3-any)
pvclust_2.2-0.tar.gz(r-4.5-noble)pvclust_2.2-0.tar.gz(r-4.4-noble)
pvclust_2.2-0.tgz(r-4.4-emscripten)pvclust_2.2-0.tgz(r-4.3-emscripten)
pvclust.pdf |pvclust.html✨
pvclust/json (API)

# Install 'pvclust' in R:
install.packages('pvclust', repos = c('https://r-suzuki.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • lung - DNA Microarray Data of Lung Tumors

On CRAN:

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

6.62 score 5 stars 9 packages 820 scripts 3.7k downloads 442 mentions 7 exports 0 dependencies

Last updated 5 years agofrom:ae5dc30851. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-winOKNov 13 2024
R-4.5-linuxOKNov 13 2024
R-4.4-winOKNov 13 2024
R-4.4-macOKNov 13 2024
R-4.3-winOKNov 13 2024
R-4.3-macOKNov 13 2024

Exports:msfitmsplotparPvclustpvclustpvpickpvrectseplot

Dependencies: