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) and Laborde et al. (2023) . 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: 2026-07-14 07:04:09 UTC; root Author: Zachariah Neville [aut, cre], Naomi Brownstein [aut], Maya Ackerman [aut], Andreas Adolfsson [aut] Maintainer: Zachariah Neville Repository: https://zachneville.r-universe.dev Date/Publication: 2026-03-16 08:10:37 UTC RemoteUrl: https://github.com/cran/clusterability RemoteRef: HEAD RemoteSha: 5c97b4f417fdf5356c9173d2f06c8030e7cbe48d