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TreeDimensionTest  

Trajectory Presence and Heterogeneity in Multivariate Data
View on CRAN: Click here


Download and install TreeDimensionTest package within the R console
Install from CRAN:
install.packages("TreeDimensionTest")

Install from Github:
library("remotes")
install_github("cran/TreeDimensionTest")

Install by package version:
library("remotes")
install_version("TreeDimensionTest", "0.0.2")



Attach the package and use:
library("TreeDimensionTest")
Maintained by
Joe Song
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-20
Latest Update: 2022-03-12
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.
How to cite:
Joe Song (2022). TreeDimensionTest: Trajectory Presence and Heterogeneity in Multivariate Data. R package version 0.0.2, https://cran.r-project.org/web/packages/TreeDimensionTest. Accessed 05 Jan. 2025.
Previous versions and publish date:
0.0.1 (2022-01-20 09:52)
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Complete documentation for TreeDimensionTest
Functions, R codes and Examples using the TreeDimensionTest R package
Some associated functions: compute.stats . empirical.distributions . plot.test . separability . test.trajectory . 
Some associated R codes: RcppExports.R . tree_dim.R .  Full TreeDimensionTest package functions and examples
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