Calculate some statistics aiming to help analyzing the clustering tendency of given data. In the first version, Hopkins' statistic is implemented. See Hopkins and Skellam (1954) <doi:10.1093/oxfordjournals.aob.a083391>.

An R package that provides a suite of tools to evaluate
clustering algorithms, clusterings, and individual clusters.
'similarity.r' 'sim_normal.r' 'sim_unif.r' 'sim_student.r'
'clustomit.r' 'sim_data.r' 'helper-boot.r' 'clusteval.r'
'random_clustering.r' 'comembership.r'

c(person("Damien", "Leroux", role = c("aut", "cre"), email =
"damien.leroux@toulouse.inra.fr"), person("Brigitte", "Mangin",
role = "aut", email="brigitte.mangin@toulouse.inra.fr"),
person("Sylvain", "Jasson", role = "aut",
email="sylvain.jasson@toulouse.inra.fr"), person("Abdelaziz",
"Rahmani", role = "aut", email =
"rahmani.abdelaziz@gmail.com"))
Performs clustering of haplotypes that ought to share a
common ancestor. It is based on the similarity measures of
every pair of haplotypes using a sliding window along the
genome.
Damien Leroux [aut, cre], Brigitte Mangin [aut], Sylvain Jasson
[aut], Abdelaziz Rahmani [aut]

Clustering Trajectories Anchored at Intervention Time
c(person("George", "Ostrouchov", role = c("aut", "cre"), email =
"ostrouchovg@ornl.gov"),
person("David", "Gagnon", role = "aut"),
person("Hanna", "Gerlovin", role = "aut"),
person("Chen", "Wei-Chen", role = "ctb"),
person("Schmidt", "Drew", role = "ctb"),
person("Oak Ridge National Laboratory", role="cph"),
person("U.S. Department of Veteran's Affairs", role="fnd",
comment="Project: Million Veteran Program Data Core")
)
data.table, graphics, grDevices, methods, mgcv, MixSim,
parallel, stats
Clusters medical trajectories (unequally spaced and unequal
length time series) aligned by an intervention time. Performs k-means
clustering, where each mean is a thin plate spline fit to all points in
a cluster. Distance is MSE across trajectory points to cluster spline.
Provides silhouette plots and Adjusted Rand Index evaluations of the number
of clusters. Scales well to large data with multicore parallelism available
to speed computation.
George Ostrouchov [aut, cre],
David Gagnon [aut],
Hanna Gerlovin [aut],
Chen Wei-Chen [ctb],
Schmidt Drew [ctb],
Oak Ridge National Laboratory [cph],
U.S. Department of Veteran's Affairs [fnd] (Project: Million Veteran
Program Data Core)