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outliersHD  

Detection of Outliers in High Dimensional Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("outliersHD", "1.0")



Attach the package and use:
library("outliersHD")
Maintained by
Michail Tsagris
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-04
Latest Update: 2026-07-04
Description:
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>.
How to cite:
Michail Tsagris (2026). outliersHD: Detection of Outliers in High Dimensional Data. R package version 1.0, https://cran.r-project.org/web/packages/outliersHD. Accessed 14 Jul. 2026.
Previous versions and publish date:
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Complete documentation for outliersHD
Functions, R codes and Examples using the outliersHD R package
Full outliersHD package functions and examples
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