Type: Package
Package: diceR
Title: Diverse Cluster Ensemble in R
Version: 2.0.0
Authors@R: 
    c(person(given = "Derek",
             family = "Chiu",
             role = c("aut", "cre"),
             email = "dchiu@bccrc.ca"),
      person(given = "Aline",
             family = "Talhouk",
             role = "aut",
             email = "a.talhouk@ubc.ca"),
      person(given = "Johnson",
             family = "Liu",
             role = c("ctb", "com"),
             email = "gliu@bccrc.ca"))
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 (>= 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
Suggests: apcluster, cluster, covr, dbscan, e1071, kernlab, knitr,
        kohonen, mixedClust, pander, poLCA, progress, RColorBrewer,
        rlang, rmarkdown, Rtsne, sigclust, testthat
LinkingTo: Rcpp
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
NeedsCompilation: yes
Packaged: 2023-03-11 07:46:30 UTC; derekchiu
Author: Derek Chiu [aut, cre],
  Aline Talhouk [aut],
  Johnson Liu [ctb, com]
Maintainer: Derek Chiu <dchiu@bccrc.ca>
Repository: CRAN
Date/Publication: 2023-03-11 08:20:02 UTC
Built: R 4.2.0; x86_64-apple-darwin17.0; 2023-03-13 14:15:25 UTC; unix
Archs: diceR.so.dSYM
