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nTARP: Cluster Analysis Using Thresholding After Random Projections (n-TARP)

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.

Version: 0.1.0
Imports: stats
Suggests: knitr, rmarkdown, HDclassif
Published: 2026-03-20
DOI: 10.32614/CRAN.package.nTARP
Author: David Reeping [aut, cre], Yunmeng Han [aut], Nahal Rashedi [rev]
Maintainer: David Reeping <reepindp at ucmail.uc.edu>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: nTARP citation info
CRAN checks: nTARP results

Documentation:

Reference manual: nTARP.html , nTARP.pdf
Vignettes: nTARP Documentation (source, R code)

Downloads:

Package source: nTARP_0.1.0.tar.gz
Windows binaries: r-devel: nTARP_0.1.0.zip, r-release: nTARP_0.1.0.zip, r-oldrel: nTARP_0.1.0.zip
macOS binaries: r-release (arm64): nTARP_0.1.0.tgz, r-oldrel (arm64): nTARP_0.1.0.tgz, r-release (x86_64): nTARP_0.1.0.tgz, r-oldrel (x86_64): nTARP_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.