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outlierMBC

Sequential Outlier Identification for Model-Based Clustering

v0.0.1 · May 28, 2025 · MIT + file LICENSE

Description

Sequential outlier identification for Gaussian mixture models using the distribution of Mahalanobis distances. The optimal number of outliers is chosen based on the dissimilarity between the theoretical and observed distributions of the scaled squared sample Mahalanobis distances. Also includes an extension for Gaussian linear cluster-weighted models using the distribution of studentized residuals. Doherty, McNicholas, and White (2025) <doi:10.48550/arXiv.2505.11668>.

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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies ClusterR dbscan flexCWM ggplot2 mixture mvtnorm spatstat.univar outlierMBC

Version History

new 0.0.1 Mar 10, 2026