Package: diceR 3.1.0

Derek Chiu

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.

Authors:Derek Chiu [aut, cre], Aline Talhouk [aut], Johnson Liu [ctb, com]

diceR_3.1.0.tar.gz
diceR_3.1.0.zip(r-4.7)diceR_3.1.0.zip(r-4.6)diceR_3.1.0.zip(r-4.5)
diceR_3.1.0.tgz(r-4.6-x86_64)diceR_3.1.0.tgz(r-4.6-arm64)diceR_3.1.0.tgz(r-4.5-x86_64)diceR_3.1.0.tgz(r-4.5-arm64)
diceR_3.1.0.tar.gz(r-4.7-arm64)diceR_3.1.0.tar.gz(r-4.7-x86_64)diceR_3.1.0.tar.gz(r-4.6-arm64)diceR_3.1.0.tar.gz(r-4.6-x86_64)
diceR_3.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
diceR/json (API)
NEWS

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

Bug tracker:https://github.com/alinetalhouk/dicer/issues

Pkgdown/docs site:https://alinetalhouk.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • hgsc - Gene expression data for High Grade Serous Carcinoma from TCGA

On CRAN:

Conda:

cpp

7.29 score 39 stars 2 packages 84 scripts 467 downloads 30 exports 98 dependencies

Last updated from:d92113bda9. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK202
linux-devel-x86_64OK224
source / vignettesOK259
linux-release-arm64OK216
linux-release-x86_64OK232
macos-release-arm64OK250
macos-release-x86_64OK310
macos-oldrel-arm64OK204
macos-oldrel-x86_64OK456
windows-develOK245
windows-releaseOK271
windows-oldrelOK189
wasm-releaseOK171

Exports:asrscompactnessconsensus_clusterconsensus_combineconsensus_evaluateconsensus_matrixCSPActsdiceev_confmatev_nmigraph_allgraph_cdfgraph_delta_areagraph_heatmapgraph_trackingimpute_knnimpute_missingk_modesLCALCEmajority_votingmin_fnormPACpcn_selectpcn_simulateprepare_datarelabel_classsigclustsrs

Dependencies:abindassertthatbase64encbitbit64bslibcachemclassclassIntclicliprclueclusterclusterCritclValidcombinatcommonmarkcpp11crayondigestdplyre1071farverfastmapfontawesomeforcatsfsgenericsggplot2gluegtablegtoolshardhathavenhighrhmshtmltoolshttpuvinfotheoisobandjquerylibjsonliteKernSmoothklaRlabelinglabelledlaterlifecyclemagrittrMASSmclustmemoisemimeminiUIotelpheatmappillarpkgconfigprettyunitsprogresspromisesproxypurrrquestionrR.cacheR.methodsS3R.ooR.utilsR6RankAggregrappdirsRColorBrewerRcppreadrrlangrprojrootrstudioapiS7sassscalesshinysourcetoolssparsevctrsstringistringrstylertibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithrxfunxtableyardstick

Cluster Analysis using diceR

Rendered fromoverview.Rmdusingknitr::rmarkdownon May 14 2026.

Last update: 2025-02-01
Started: 2016-11-08