Robust Backfitting R package RBF version 2.1.1 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. Software Imports: stats, graphics Suggests: knitr, rmarkdown, gam, RobStatTM, MASS Matias Salibian-Barrera <matias@stat.ubc.ca> Comprehensive R Archive Network (CRAN) Matias Salibian-Barrera [aut, cre], Alejandra Martinez [aut] GPL (>= 3.0) 2023-08-31 application/tgz https://CRAN.R-project.org/package=RBF doi:10.32614/CRAN.package.RBF