Package: EnsCat 1.0

Saeid Amiri

EnsCat: Clustering of categorical data

This package implements the clustering methods of categorical data discussed in Amiri, S., Clarke, B. and Clarke J. (2015). Clustering categorical data via ensembling dissimilarity matrices. arXiv:1506.07930.

Authors:Saeid Amiri, Bertrand Clarke and Jennifer Clarke.

EnsCat_1.0.tar.gz
EnsCat_1.0.zip(r-4.7-any)EnsCat_1.0.zip(r-4.6-any)EnsCat_1.0.zip(r-4.5-any)
EnsCat_1.0.tgz(r-4.6-any)EnsCat_1.0.tgz(r-4.5-any)
EnsCat_1.0.tar.gz(r-4.7-any)EnsCat_1.0.tar.gz(r-4.6-any)
EnsCat_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
EnsCat/json (API)

# Install 'EnsCat' in R:
install.packages('EnsCat', repos = c('https://jlp2duke.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jlp2duke/enscat/issues

On CRAN:

Conda:

3.74 score 5 stars 22 scripts 380 downloads 1 mentions 0 exports 34 dependencies

Last updated from:a03b03e9b5. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING105
source / vignettesOK162
linux-releaseWARNING101
macos-releaseWARNING142
macos-oldrelWARNING138
windows-develWARNING81
windows-releaseWARNING75
windows-oldrelWARNING88
wasm-releaseOK100

Exports:

Dependencies:ade4clicpp11dendextendfarverggdendroggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSnlmepixmapR6RColorBrewerRcppRcppArmadilloRcppEigenrlangRmixmodS7scalessegmentedseqinrspvctrsviridisviridisLitewithr