Cluster Analysis Using Thresholding After Random Projections (n-TARP) R package nTARP version 0.1.0 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. Software Imports: stats Suggests: knitr, rmarkdown, HDclassif David Reeping <reepindp@ucmail.uc.edu> Comprehensive R Archive Network (CRAN) David Reeping [aut, cre], Yunmeng Han [aut], Nahal Rashedi [rev] MIT + file LICENSE (https://CRAN.R-project.org/package=nTARP/LICENSE) 2026-03-20 application/tgz https://CRAN.R-project.org/package=nTARP doi:10.32614/CRAN.package.nTARP