Weighted BACON Algorithms

The BACON algorithms are methods for multivariate outlier nomination (detection) and robust linear regression by Billor, Hadi, and Velleman (2000) . 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 .


Reference manual

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0.6 by Tobias Schoch, 3 months ago


Report a bug at https://github.com/tobiasschoch/wbacon/issues

Browse source code at https://github.com/cran/wbacon

Authors: Tobias Schoch [aut, cre] , R-core [cph] (plot.wbaconlm derives from plot.lm)

Documentation:   PDF Manual  

GPL (>= 2) license

Imports stats, graphics, grDevices, hexbin

Suggests modi, robustbase, robustX, cellWise, knitr, rmarkdown

Suggested by robsurvey.

See at CRAN