wbacon-package {wbacon}

Weighted BACON Algorithms for Multivariate Outlier Nomination (Detection) and Robust Linear Regression

Description

The package wbacon implements the BACON algorithms of Billor et al. (2000) and some of the extensions proposed by Béguin and Hulliger (2008).

Details

See wBACON to learn more on the BACON method for multivariate outlier nomination (detection).

See wBACON_reg to learn more on the BACON method for robust linear regression.

Author(s)

Tobias Schoch

References

Billor N., Hadi A.S. and Vellemann P.F. (2000). BACON: Blocked Adaptive Computationally efficient Outlier Nominators. Computational Statistics and Data Analysis 34, pp. 279–298. doi:10.1016/S0167-9473(99)00101-2

Béguin C. and Hulliger B. (2008). The BACON-EEM Algorithm for Multivariate Outlier Detection in Incomplete Survey Data. Survey Methodology 34, pp. 91–103. https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X200800110616

Schoch, T. (2021). wbacon: Weighted BACON algorithms for multivariate outlier nomination (detection) and robust linear regression, Journal of Open Source Software 6 (62), 3238 doi:10.21105/joss.03238