Weighted BACON Algorithms R package wbacon version 0.6-3 CRAN Task View: AnomalyDetection (https://CRAN.R-project.org/view=AnomalyDetection) The BACON algorithms are methods for multivariate outlier nomination (detection) and robust linear regression by Billor, Hadi, and Velleman (2000) <doi:10.1016/S0167-9473(99)00101-2>. The extension to weighted problems is due to Beguin and Hulliger (2008) <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X200800110616>; see also <doi:10.21105/joss.03238>. Software Depends: R (>= 3.5.0) Imports: stats, graphics, grDevices, hexbin Suggests: modi, robustbase, robustX (>= 1.2-5), knitr, rmarkdown Tobias Schoch <tobias.schoch@gmail.com> Comprehensive R Archive Network (CRAN) Tobias Schoch [aut, cre] (ORCID: <https://orcid.org/0000-0002-1640-3395>), R-core [cph] (plot.wbaconlm derives from plot.lm) GPL (>= 2) 2025-05-03 application/tgz https://CRAN.R-project.org/package=wbacon doi:10.32614/CRAN.package.wbacon