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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 |
Reference manual: | diceR.pdf |
Vignettes: |
Cluster Analysis using 'diceR' |
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 depends: | omada |
Reverse imports: | ccml, clusterMI |
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These binaries (installable software) and packages are in development.
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