Package: outliersHD 1.0

Michail Tsagris

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>.

Authors:Michail Tsagris [aut, cre]

outliersHD_1.0.tar.gz
outliersHD_1.0.tar.gz(r-4.7-any)outliersHD_1.0.tar.gz(r-4.6-any)
outliersHD_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
outliersHD/json (API)

# Install 'outliersHD' in R:
install.packages('outliersHD', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 50 downloads 3 exports 8 dependencies

Last updated from:ae50458f6a. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK120
source / vignettesOK205
linux-release-x86_64OK123
wasm-releaseOK150

Exports:ahddodrmdp

Dependencies:BHRcppRcppArmadilloRcppParallelRfastRfast2Rnanoflannzigg