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
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:

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