Package: TreeDimensionTest
Type: Package
Title: Trajectory Presence and Heterogeneity in Multivariate Data
Version: 0.0.3
Date: 2026-07-18
Authors@R: c(
    person("Lovemore", "Tenha", , "ltenha@nmsu.edu", role = "aut",
           comment = c(ORCID = "0000-0001-9705-2023")),
    person("Joe", "Song", , "joemsong@nmsu.edu", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-6883-6547"))
  )
Author: Lovemore Tenha [aut] (ORCID:
        <https://orcid.org/0000-0001-9705-2023>), Joe Song [aut, cre]
        (ORCID: <https://orcid.org/0000-0002-6883-6547>)
Maintainer: Joe Song <joemsong@nmsu.edu>
Description: Testing for trajectory presence and heterogeneity on
        multivariate data. Two statistical methods (Tenha & Song 2022)
        <doi:10.1371/journal.pcbi.1009829> are implemented. The tree
        dimension test quantifies the statistical evidence for
        trajectory presence. The subset specificity measure summarizes
        pattern heterogeneity using the minimum subtree cover. There is
        no user tunable parameters for either method. Examples are
        included to illustrate how to use the methods on single-cell
        data for studying gene and pathway expression dynamics and
        pathway expression specificity.
License: LGPL (>= 3)
Imports: fitdistrplus, igraph, nFactors, Rcpp (>= 1.0.2), RColorBrewer,
        Rdpack
LinkingTo: Rcpp
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: yes
RdMacros: Rdpack
Depends: mlpack (>= 4.8.0)
Config/roxygen2/version: 8.0.0
Packaged: 2026-07-27 04:49:08 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2026-07-18 22:40:14 UTC
RemoteUrl: https://github.com/cran/TreeDimensionTest
RemoteRef: HEAD
RemoteSha: 26ff40ea88819fbfd9b5fcf69d803d7ecabcfa0f