Package: diceR
Type: Package
Title: Diverse Cluster Ensemble in R
Version: 0.1.0
Date: 2017-06-21
Authors@R: c(
    person("Derek", "Chiu", , "dchiu@bccrc.ca", c("aut", "cre")),
    person("Aline", "Talhouk", , "atalhouk@bccrc.ca", "aut"),
    person("Johnson", "Liu", , "gliu@bccrc.ca", c("ctb", "com"))
    )
Description: Performs cluster analysis using an ensemble clustering framework.
    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.
Depends: R (>= 3.2.0)
Imports: abind, assertthat, dplyr, magrittr, tidyr, purrr, ggplot2,
        gplots, grDevices, Hmisc, flux, NMF, apcluster, kernlab,
        mclust, infotheo, blockcluster, caret, class, clue, cluster,
        clusterCrit, clValid, klaR, RColorBrewer, quantable,
        RankAggreg, sigclust, methods, Rcpp
Suggests: testthat, knitr, rmarkdown, covr
License: MIT + file LICENSE
URL: https://github.com/AlineTalhouk/diceR
BugReports: https://github.com/AlineTalhouk/diceR/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1.9000
VignetteBuilder: knitr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2017-06-21 19:34:09 UTC; dchiu
Author: Derek Chiu [aut, cre],
  Aline Talhouk [aut],
  Johnson Liu [ctb, com]
Maintainer: Derek Chiu <dchiu@bccrc.ca>
Repository: CRAN
Date/Publication: 2017-06-21 23:37:03 UTC
