Package: QuClu 1.0.1

QuClu: Quantile-Based Clustering Algorithms

Various quantile-based clustering algorithms: algorithm CU (Common theta and Unscaled variables), algorithm CS (Common theta and Scaled variables through lambda_j), algorithm VU (Variable-wise theta_j and Unscaled variables) and algorithm VW (Variable-wise theta_j and Scaled variables through lambda_j). Hennig, C., Viroli, C., Anderlucci, L. (2019) "Quantile-based clustering." Electronic Journal of Statistics. 13 (2) 4849 - 4883 <doi:10.1214/19-EJS1640>.

Authors:Christian Hennig, Cinzia Viroli and Laura Anderlucci

QuClu_1.0.1.tar.gz
QuClu_1.0.1.zip(r-4.7-any)QuClu_1.0.1.zip(r-4.6-any)QuClu_1.0.1.zip(r-4.5-any)
QuClu_1.0.1.tgz(r-4.6-any)QuClu_1.0.1.tgz(r-4.5-any)
QuClu_1.0.1.tar.gz(r-4.7-any)QuClu_1.0.1.tar.gz(r-4.6-any)
QuClu_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
QuClu/json (API)

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

On CRAN:

Conda:

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

1.00 score 1 stars 8 scripts 231 downloads 5 exports 0 dependencies

Last updated from:11bd10840f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK87
source / vignettesOK174
linux-releaseOK82
macos-releaseOK157
macos-oldrelOK149
windows-develOK55
windows-releaseOK46
windows-oldrelOK52
wasm-releaseOK68

Exports:alg.CSalg.CUalg.VSalg.VUkquantiles

Dependencies: