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) <doi:10.1080/10485252.2017.1369077> for details.
|Author||Matias Salibian-Barrera [cre], Alejandra Martinez [aut]|
|Maintainer||Matias Salibian-Barrera <[email protected]>|
|License||GPL (>= 3.0)|
|Package repository||View on CRAN|
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