Robust Backfitting

A robust backfitting algorithm for additive models based on (robust) local polynomial kernel smoothers. It includes both bounded and re-descending (kernel) M-estimators, and it computes predictions for points outside the training set if desired. See Boente, Martinez and Salibian-Barrera (2017) and Martinez and Salibian-Barrera (2021) for details.


Reference manual

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2.1.0 by Matias Salibian-Barrera, a month ago

Browse source code at

Authors: Matias Salibian-Barrera [aut, cre] , Alejandra Martinez [aut]

Documentation:   PDF Manual  

GPL (>= 3.0) license

Imports stats, graphics

Suggests knitr, rmarkdown, gam, RobStatTM, MASS

See at CRAN