wbacon: Weighted BACON algorithms for multivariate outlier nomination (detection) and robust linear regression

Schoch, Tobias2023-12-182023-12-182021-06-15https://doi.org/10.21105/joss.03238https://irf.fhnw.ch/handle/11654/38751The 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, www150.statcan.gc.ca/n1/en/catalogue/12-001-X200800110616); see also Schoch (2021, doi:10.21105/joss.03238).Multivariate outlier detectionRobust linear regression003 - Systemewbacon: Weighted BACON algorithms for multivariate outlier nomination (detection) and robust linear regression09 - Software