Type: Package
Package: diceR
Title: Diverse Cluster Ensemble in R
Version: 0.6.0
Authors@R: 
    c(person(given = "Derek",
             family = "Chiu",
             role = c("aut", "cre"),
             email = "dchiu@bccrc.ca"),
      person(given = "Aline",
             family = "Talhouk",
             role = "aut",
             email = "atalhouk@bccrc.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 (>= 3.3)
Imports: abind, apcluster, assertthat, blockcluster, caret, class, cli,
        clue, cluster, clusterCrit, clValid, dbscan, dplyr (>= 0.7.5),
        e1071, flux, ggplot2, gplots, grDevices, Hmisc, infotheo,
        kernlab, klaR, kohonen, magrittr, mclust, methods, NMF, poLCA,
        progress, purrr (>= 0.2.3), quantable, RankAggreg,
        RColorBrewer, Rcpp, Rtsne, sigclust, stringr, tibble, tidyr
Suggests: covr, knitr, pander, rmarkdown, testthat
LinkingTo: Rcpp
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-07-25 19:05:26 UTC; dchiu
Author: Derek Chiu [aut, cre],
  Aline Talhouk [aut],
  Johnson Liu [ctb, com]
Maintainer: Derek Chiu <dchiu@bccrc.ca>
Repository: CRAN
Date/Publication: 2019-07-25 20:30:02 UTC
