Package: outlierspinner
Title: Geometric Multivariate Outlier Detection via Random Directional
        Probing
Version: 0.1.0
Authors@R: person("Polychronis", "Economou", , "peconom@upatras.gr", role = c("aut", "cre"))
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.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: ggplot2, MASS, tidyr
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-01-06 08:09:39 UTC; peconom
Author: Polychronis Economou [aut, cre]
Maintainer: Polychronis Economou <peconom@upatras.gr>
Repository: CRAN
Date/Publication: 2026-01-08 18:50:07 UTC
Built: R 4.6.0; ; 2026-04-29 23:26:53 UTC; unix
