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outlierspinner  

Geometric Multivariate Outlier Detection via Random Directional Probing
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("outlierspinner", "0.1.0")



Attach the package and use:
library("outlierspinner")
Maintained by
Polychronis Economou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-08
Latest Update: 2026-01-08
Description:
Provides tools for multivariate outlier detection based on geometric properties of multivariate data using random directional projections. Observation-level outlier scores are computed by jointly probing radial magnitude and angular alignment through repeated projections onto random directions, with optional robust centering and covariance adjustment. In addition to global outlier scoring, the method produces dimension-level contribution measures to support interpretation of detected anomalies. Visualization utilities are included to summarize directional contributions for extreme observations.
How to cite:
Polychronis Economou (2026). outlierspinner: Geometric Multivariate Outlier Detection via Random Directional Probing. R package version 0.1.0, https://cran.r-project.org/web/packages/outlierspinner. Accessed 25 Oct. 2026.
Previous versions and publish date:
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