Package: clusterability
Title: Performs Tests for Cluster Tendency of a Data Set
Version: 0.1.1.0
Authors@R: c(person("Zachariah", "Neville", email = "z.neville@stat.fsu.edu", role = c("aut", "cre")), person("Naomi", "Brownstein", email = "Naomi.Brownstein@moffitt.org", role = "aut"), person("Maya", "Ackerman", role = "aut"), person("Andreas", "Adolfsson", role = "aut"))
Description: Test for cluster tendency (clusterability) of a data set.
    The methods implemented - reducing the data set to a single dimension using principal component analysis or computing
    pairwise distances, and performing a multimodality test like the Dip Test or Silverman's Critical Bandwidth Test - 
    are described in Adolfsson, Ackerman, and Brownstein (2019) <doi:10.1016/j.patcog.2018.10.026>. Such methods can inform whether clustering algorithms
    are appropriate for a data set.
Depends: R (>= 3.4.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: diptest, splines
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-03-03 12:07:50 UTC; Zach
Author: Zachariah Neville [aut, cre],
  Naomi Brownstein [aut],
  Maya Ackerman [aut],
  Andreas Adolfsson [aut]
Maintainer: Zachariah Neville <z.neville@stat.fsu.edu>
Repository: CRAN
Date/Publication: 2020-03-04 11:40:07 UTC
