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

Billor et al. (2000, Comput. Stat. Data Anal.) proposed the BACON (blocked adaptive computationally-efficient outlier nominators) algorithms for multivariate outlier nomination and robust linear regression. Béguin and Hulliger (2008, Surv. Methodol.) extended the outlier detection method to weighted and incomplete data problems. Our package offers a computationally efficient implementation in the C language with OpenMP support for parallelization.