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>.">

wbacon: Weighted BACON Algorithms (original) (raw)

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>.

Version: 0.6-3
Depends: R (≥ 3.5.0)
Imports: stats, graphics, grDevices, hexbin
Suggests: modi, robustbase, robustX (≥ 1.2-5), knitr, rmarkdown
Published: 2025-05-03
DOI: 10.32614/CRAN.package.wbacon
Author: Tobias Schoch ORCID iD [aut, cre], R-core [cph] (plot.wbaconlm derives from plot.lm)
Maintainer: Tobias Schoch <tobias.schoch at gmail.com>
BugReports: https://github.com/tobiasschoch/wbacon/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/tobiasschoch/wbacon
NeedsCompilation: yes
Citation: wbacon citation info
Materials: NEWS
In views: AnomalyDetection
CRAN checks: wbacon results

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