Package: TreeDimensionTest 0.0.2

TreeDimensionTest: Trajectory Presence and Heterogeneity in Multivariate Data

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.

Authors:Lovemore Tenha [aut], Joe Song [aut, cre]

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TreeDimensionTest.pdf |TreeDimensionTest.html
TreeDimensionTest/json (API)
NEWS

# Install 'TreeDimensionTest' in R:
install.packages('TreeDimensionTest', repos = c('https://joemsong.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 1 scripts 117 downloads 4 exports 26 dependencies

Last updated 3 years agofrom:92d770f047. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64OKNov 07 2024
R-4.5-linux-x86_64OKNov 07 2024
R-4.4-win-x86_64OKNov 07 2024
R-4.4-mac-x86_64OKNov 07 2024
R-4.4-mac-aarch64OKNov 07 2024
R-4.3-win-x86_64OKNov 07 2024
R-4.3-mac-x86_64OKNov 07 2024
R-4.3-mac-aarch64OKNov 07 2024

Exports:compute.statsempirical.distributionsseparabilitytest.trajectory

Dependencies:clicpp11fitdistrplusglueGPArotationigraphlatticelifecyclemagrittrMASSMatrixmlpackmnormtnFactorsnlmepkgconfigpsychrbibutilsRColorBrewerRcppRcppArmadilloRcppEnsmallenRdpackrlangsurvivalvctrs

Tutorial: Using the 'TreeDimensionTest' package

Rendered fromTutorial.Rmdusingknitr::rmarkdownon Nov 07 2024.

Last update: 2022-03-12
Started: 2022-01-20