Type: Package
Package: diceR
Title: Diverse Cluster Ensemble in R
Version: 3.1.0
Authors@R: c(
    person("Derek", "Chiu", , "dchiu@bccrc.ca", role = c("aut", "cre")),
    person("Aline", "Talhouk", , "a.talhouk@ubc.ca", role = "aut"),
    person("Johnson", "Liu", , "gliu@bccrc.ca", role = c("ctb", "com"))
  )
Description: 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.
License: MIT + file LICENSE
URL: https://github.com/AlineTalhouk/diceR/,
        https://alinetalhouk.github.io/diceR/
BugReports: https://github.com/AlineTalhouk/diceR/issues
Depends: R (>= 4.1)
Imports: abind, assertthat, class, clue, clusterCrit, clValid, dplyr
        (>= 0.7.5), ggplot2, grDevices, infotheo, klaR, magrittr,
        mclust, methods, pheatmap, purrr (>= 0.2.3), RankAggreg, Rcpp,
        stringr, tidyr, yardstick
Suggests: apcluster, blockcluster, cluster, covr, dbscan, e1071,
        kernlab, knitr, kohonen, NMF, pander, poLCA, progress,
        RColorBrewer, rlang, rmarkdown, Rtsne, sigclust, testthat (>=
        3.0.0)
LinkingTo: Rcpp
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
NeedsCompilation: yes
Packaged: 2025-06-18 18:36:29 UTC; derekchiu
Author: Derek Chiu [aut, cre],
  Aline Talhouk [aut],
  Johnson Liu [ctb, com]
Maintainer: Derek Chiu <dchiu@bccrc.ca>
Repository: CRAN
Date/Publication: 2025-06-19 19:50:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 14:01:05 UTC; unix
Archs: diceR.so.dSYM
