Geometric Multivariate Outlier Detection via Random Directional Probing. 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
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curl https://depscope.dev/api/check/cran/outlierspinnerFirst published · 2026-01-08 18:58:33
Last updated · 2026-01-08T17:50:07+00:00