Package: diceR 3.0.0

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_3.0.0.tar.gz
diceR_3.0.0.zip(r-4.5)diceR_3.0.0.zip(r-4.4)diceR_3.0.0.zip(r-4.3)
diceR_3.0.0.tgz(r-4.5-x86_64)diceR_3.0.0.tgz(r-4.5-arm64)diceR_3.0.0.tgz(r-4.4-x86_64)diceR_3.0.0.tgz(r-4.4-arm64)diceR_3.0.0.tgz(r-4.3-x86_64)diceR_3.0.0.tgz(r-4.3-arm64)
diceR_3.0.0.tar.gz(r-4.5-noble)diceR_3.0.0.tar.gz(r-4.4-noble)
diceR_3.0.0.tgz(r-4.4-emscripten)diceR_3.0.0.tgz(r-4.3-emscripten)
diceR.pdf |diceR.html✨
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 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

8.13 score 37 stars 3 packages 60 scripts 1.1k downloads 3 mentions 30 exports 104 dependencies

Last updated 1 months agofrom:c0ab0cdd8d. Checks:9 OK, 3 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 06 2025
R-4.5-win-x86_64OKMar 06 2025
R-4.5-mac-x86_64OKMar 06 2025
R-4.5-mac-aarch64OKMar 06 2025
R-4.5-linux-x86_64OKMar 06 2025
R-4.4-win-x86_64OKMar 06 2025
R-4.4-mac-x86_64OKMar 06 2025
R-4.4-mac-aarch64OKMar 06 2025
R-4.4-linux-x86_64OKMar 06 2025
R-4.3-win-x86_64ERRORMar 06 2025
R-4.3-mac-x86_64ERRORMar 06 2025
R-4.3-mac-aarch64ERRORMar 06 2025

Exports:asrscompactnessconsensus_clusterconsensus_combineconsensus_evaluateconsensus_matrixCSPActsdiceev_confmatev_nmigraph_allgraph_cdfgraph_delta_areagraph_heatmapgraph_trackingimpute_knnimpute_missingk_modesLCALCEmajority_votingmin_fnormPACpcn_selectpcn_simulateprepare_datarelabel_classsigclustsrs

Dependencies:abindassertthatbase64encbitbit64bslibcachemclassclassIntclicliprclueclusterclusterCritclvclValidcolorspacecombinatcommonmarkcpp11crayondigestdplyre1071fansifarverfastmapfontawesomeforcatsfsgenericsggplot2gluegtablegtoolshardhathavenhighrhmshtmltoolshttpuvinfotheoisobandjquerylibjsonliteKernSmoothklaRlabelinglabelledlaterlatticelifecyclemagrittrMASSMatrixmclustmemoisemgcvmimeminiUImunsellnlmepheatmappillarpkgconfigprettyunitsprogresspromisesproxypurrrquestionrR.cacheR.methodsS3R.ooR.utilsR6RankAggregrappdirsRColorBrewerRcppreadrrlangrprojrootrstudioapisassscalesshinysourcetoolssparsevctrsstringistringrstylertibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithrxfunxtableyardstick

Cluster Analysis using diceR

Rendered fromoverview.Rmdusingknitr::rmarkdownon Mar 06 2025.

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