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RBF: 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) <doi:10.1080/10485252.2017.1369077> and Martinez and Salibian-Barrera (2021) <doi:10.21105/joss.02992> for details.
Getting started
Browse package contents
Package details |
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| Author | Matias Salibian-Barrera [aut, cre], Alejandra Martinez [aut] |
| Maintainer | Matias Salibian-Barrera <matias@stat.ubc.ca> |
| License | GPL (>= 3.0) |
| Version | 2.1.1 |
| Package repository | View on CRAN |
| Installation |
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