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nTARP  

Cluster Analysis Using Thresholding After Random Projections (n-TARP)
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("nTARP", "0.1.0")



Attach the package and use:
library("nTARP")
Maintained by
David Reeping
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-20
Latest Update: 2026-03-20
Description:
Implements the high-dimensional clustering technique Thresholding After Random Projections (n-TARP). Provides functionality to iteratively decompose larger datasets using contextual variables or within-cluster sum of squares. See Tarun & Boutin (2018) <doi:10.48550/arXiv.1806.05297> and Tarun & Boutin (2018) <doi:10.4231/R74B2ZJV> for the original method and applications.
How to cite:
David Reeping (2026). nTARP: Cluster Analysis Using Thresholding After Random Projections (n-TARP). R package version 0.1.0, https://cran.r-project.org/web/packages/nTARP. Accessed 24 Oct. 2026.
Previous versions and publish date:
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View nTARP citation profile
Other R packages that nTARP depends, imports, suggests or enhances
Complete documentation for nTARP
Functions, R codes and Examples using the nTARP R package
Full nTARP package functions and examples
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