The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

diceR: Diverse Cluster Ensemble in R

Performs cluster analysis using an ensemble clustering framework, Chiu & Talhouk (2018) <doi:10.1186/s12859-017-1996-y>. Results from a diverse set of algorithms are pooled together using methods such as majority voting, K-Modes, LinkCluE, and CSPA. There are options to compare cluster assignments across algorithms using internal and external indices, visualizations such as heatmaps, and significance testing for the existence of clusters.

Version: 2.2.0
Depends: R (≥ 3.5)
Imports: abind, assertthat, class, clue, clusterSim, clv, clValid, dplyr (≥ 0.7.5), ggplot2, infotheo, klaR, magrittr, mclust, methods, NMF, purrr (≥ 0.2.3), RankAggreg, Rcpp, stringr, tidyr, yardstick
LinkingTo: Rcpp
Suggests: apcluster, blockcluster, cluster, covr, dbscan, e1071, kernlab, knitr, kohonen, pander, poLCA, progress, RColorBrewer, rlang, rmarkdown, Rtsne, sigclust, testthat
Published: 2024-01-22
DOI: 10.32614/CRAN.package.diceR
Author: Derek Chiu [aut, cre], Aline Talhouk [aut], Johnson Liu [ctb, com]
Maintainer: Derek Chiu <dchiu at bccrc.ca>
BugReports: https://github.com/AlineTalhouk/diceR/issues
License: MIT + file LICENSE
URL: https://github.com/AlineTalhouk/diceR/, https://alinetalhouk.github.io/diceR/
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: diceR results

Documentation:

Reference manual: diceR.pdf
Vignettes: Cluster Analysis using 'diceR'

Downloads:

Package source: diceR_2.2.0.tar.gz
Windows binaries: r-devel: diceR_2.2.0.zip, r-release: diceR_2.2.0.zip, r-oldrel: diceR_2.2.0.zip
macOS binaries: r-release (arm64): diceR_2.2.0.tgz, r-oldrel (arm64): diceR_2.2.0.tgz, r-release (x86_64): diceR_2.2.0.tgz, r-oldrel (x86_64): diceR_2.2.0.tgz
Old sources: diceR archive

Reverse dependencies:

Reverse depends: omada
Reverse imports: ccml, clusterMI

Linking:

Please use the canonical form https://CRAN.R-project.org/package=diceR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.