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> for details.

Package details

AuthorMatias Salibian-Barrera [cre], Alejandra Martinez [aut]
MaintainerMatias Salibian-Barrera <[email protected]>
LicenseGPL (>= 3.0)
Version1.0.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("RBF")

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RBF documentation built on June 14, 2019, 9:03 a.m.