Package: clusterability
Title: Performs Tests for Cluster Tendency of a Data Set
Version: 0.2.3.0
Authors@R: c(person("Zachariah", "Neville", email = "zachariahneville@outlook.com", role = c("aut", "cre")), person("Naomi", "Brownstein", email = "brownstn@musc.edu", 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> and Laborde et al. (2023) <doi: 10.1186/s12859-023-05210-6>. 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: 7.3.3
Imports: diptest, splines, sparsepca, elasticnet, cluster
Suggests: testthat, plotly, bench
NeedsCompilation: no
Packaged: 2026-03-15 17:48:07 UTC; Zach
Author: Zachariah Neville [aut, cre],
  Naomi Brownstein [aut],
  Maya Ackerman [aut],
  Andreas Adolfsson [aut]
Maintainer: Zachariah Neville <zachariahneville@outlook.com>
Repository: CRAN
Date/Publication: 2026-03-16 08:10:37 UTC
Built: R 4.6.0; ; 2026-04-26 03:06:13 UTC; unix
