Package: diceR 2.2.0

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_2.2.0.tar.gz
diceR_2.2.0.zip(r-4.5)diceR_2.2.0.zip(r-4.4)diceR_2.2.0.zip(r-4.3)
diceR_2.2.0.tgz(r-4.4-x86_64)diceR_2.2.0.tgz(r-4.4-arm64)diceR_2.2.0.tgz(r-4.3-x86_64)diceR_2.2.0.tgz(r-4.3-arm64)
diceR_2.2.0.tar.gz(r-4.5-noble)diceR_2.2.0.tar.gz(r-4.4-noble)
diceR_2.2.0.tgz(r-4.4-emscripten)diceR_2.2.0.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'))

Peer review:

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

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

On CRAN:

7.99 score 34 stars 3 packages 53 scripts 682 downloads 3 mentions 30 exports 119 dependencies

Last updated 10 months agofrom:2c6d23bdb6. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 18 2024
R-4.5-win-x86_64OKOct 18 2024
R-4.5-linux-x86_64OKOct 18 2024
R-4.4-win-x86_64OKOct 18 2024
R-4.4-mac-x86_64OKOct 18 2024
R-4.4-mac-aarch64OKOct 18 2024
R-4.3-win-x86_64OKOct 18 2024
R-4.3-mac-x86_64OKOct 18 2024
R-4.3-mac-aarch64OKOct 18 2024

Exports:asrscompactnessconsensus_clusterconsensus_combineconsensus_evaluateconsensus_matrixCSPActsdiceev_confmatev_nmigraph_allgraph_cdfgraph_delta_areagraph_heatmapgraph_trackingimpute_knnimpute_missingk_modesLCALCEmajority_votingmin_fnormPACpcn_selectpcn_simulateprepare_datarelabel_classsigclustsrs

Dependencies:abindade4assertthatbase64encBiobaseBiocGenericsBiocManagerbitbit64bslibcachemclassclassIntclicliprclueclusterclusterSimclvclValidcodetoolscolorspacecombinatcommonmarkcpp11crayondigestdoParalleldplyre1071fansifarverfastmapfontawesomeforcatsforeachfsgenericsggplot2gluegridBasegtablegtoolshardhathavenhighrhmshtmltoolshttpuvinfotheoisobanditeratorsjquerylibjsonliteKernSmoothklaRlabelinglabelledlaterlatticelifecyclemagrittrMASSMatrixmclustmemoisemgcvmimeminiUImunsellnlmeNMFpillarpixmappkgconfigplyrprettyunitsprogresspromisesproxypurrrquestionrR.cacheR.methodsS3R.ooR.utilsR6RankAggregrappdirsRColorBrewerRcppRcppArmadilloreadrregistryreshape2rlangrngtoolsrprojrootrstudioapisassscalesshinysourcetoolsspstringistringrstylertibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithrxfunxtableyardstick

Cluster Analysis using diceR

Rendered fromoverview.Rmdusingknitr::rmarkdownon Oct 18 2024.

Last update: 2023-03-11
Started: 2016-11-08