outliersHD: Detection of Outliers in High Dimensional Data

Algorithms to detect high-dimensional outliers. The minimum diagonal product of Ro, Zou, Wang and Yin (2015) <doi:10.1093/biomet/asv021>, the algorithm of Wilkinson (2018) <doi:10.1109/TVCG.2017.2744685>, and the distances of distances of Lee and Jeon (2025) <doi:10.48550/arXiv.2511.02199>.

Version: 1.0
Depends: R (≥ 4.0)
Imports: Rfast, Rfast2, Rnanoflann, stats
Published: 2026-07-04
DOI: 10.32614/CRAN.package.outliersHD (may not be active yet)
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris at uoc.gr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: outliersHD results

Documentation:

Reference manual: outliersHD.html , outliersHD.pdf

Downloads:

Package source: outliersHD_1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): outliersHD_1.0.tgz, r-oldrel (arm64): outliersHD_1.0.tgz, r-release (x86_64): outliersHD_1.0.tgz, r-oldrel (x86_64): outliersHD_1.0.tgz

Linking:

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