Package: clustra
Version: 0.2.1
Date: 2024-01-04
Title: Clustering Longitudinal Trajectories
Authors@R: c(person("George", "Ostrouchov", role = c("aut", "cre"), email = 
        "go@tennessee.edu"),
        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")
        )
Depends: R (>= 3.5.0)
Imports: data.table, graphics, grDevices, methods, mgcv, MixSim,
        parallel, stats
Suggests: haven, knitr, rmarkdown
Description: Clusters longitudinal trajectories over time (can be
        unequally spaced, unequal length time series and/or partially
        overlapping series) on a common time axis. Performs k-means
        clustering on a single continuous variable measured over time,
        where each mean is defined by a thin plate spline fit to all
        points in a cluster. Distance is MSE across trajectory points
        to cluster spline. Provides graphs of derived cluster splines,
        silhouette plots, and Adjusted Rand Index evaluations of the
        number of clusters. Scales well to large data with multicore
        parallelism available to speed computation.
LazyLoad: yes
License: BSD 2-clause License + file LICENSE
Encoding: UTF-8
Maintainer: George Ostrouchov <go@tennessee.edu>
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
URL: https://github.com/MVP-CHAMPION/clustra
BugReports: https://github.com/MVP-CHAMPION/clustra/issues
VignetteBuilder: knitr
LazyData: true
LazyDataCompression: xz
Repository: https://go-ski.r-universe.dev
Date/Publication: 2025-06-26 19:09:42 UTC
RemoteUrl: https://github.com/go-ski/clustra
RemoteRef: HEAD
RemoteSha: 6515ed40502cbdd030989ecc3040c0aa9be2b827
NeedsCompilation: no
Packaged: 2026-10-10 17:22:19 UTC; root
Author: 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)