Package: clustra
Version: 0.1.5
Date: 2021-11-19
Title: Clustering Trajectories Anchored at Intervention Time
Authors@R: 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")
        )
Depends: R (>= 3.5.0)
Imports: data.table, graphics, grDevices, methods, mgcv, MixSim,
        parallel, stats
Suggests: ggplot2, knitr, rmarkdown
Description: 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.
LazyLoad: yes
License: BSD 2-clause License + file LICENSE
Encoding: UTF-8
Maintainer: George Ostrouchov <ostrouchovg@ornl.gov>
RoxygenNote: 7.1.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-11-22 00:34:34 UTC; ost
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)
Repository: CRAN
Date/Publication: 2021-11-22 09:00:08 UTC
