Package: outlierMBC Title: Sequential Outlier Identification for Model-Based Clustering Version: 0.0.1.0003 Authors@R: c( person("Ultán P.", "Doherty", , "dohertyu@tcd.ie", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0003-1791-395X")), person("Paul D.", "McNicholas", , "paulmc@mcmaster.ca", role = c("aut"), comment = c(ORCID = "0000-0002-2482-523X")), person("Andrea", "Cappozzo", , "andrea.cappozzo@unicatt.it", role = c("aut" ), comment = c(ORCID = "0000-0001-9348-710X")), person("Arthur", "White", , "arwhite@tcd.ie", role = c("aut"), comment = c(ORCID = "0000-0002-7268-5163"))) 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) . License: MIT + file LICENSE Encoding: UTF-8 Roxygen: list(markdown = TRUE) Imports: ClusterR, dbscan, ggplot2, mixture, mvtnorm, spatstat.univar, stats, mclust, ContaminatedMixt Depends: R (>= 4.1.0) LazyData: true Config/roxygen2/version: 8.1.0 Config/pak/sysreqs: libgmp3-dev libgsl0-dev libicu-dev Repository: https://ultanpdoherty.r-universe.dev Date/Publication: 2026-10-31 22:07:39 UTC RemoteUrl: https://github.com/ultanpdoherty/outliermbc RemoteRef: HEAD RemoteSha: e6c3773d94f03654dadd4e54520f2682fd36588c NeedsCompilation: no Packaged: 2026-10-31 22:52:45 UTC; root Author: Ultán P. Doherty [aut, cre, cph] (ORCID: ), Paul D. McNicholas [aut] (ORCID: ), Andrea Cappozzo [aut] (ORCID: ), Arthur White [aut] (ORCID: ) Maintainer: Ultán P. Doherty