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.
https://anaconda.org/r_test/r-rbf/badges/version.svg
https://anaconda.org/r_test/r-rbf/badges/latest_release_date.svg
https://anaconda.org/r_test/r-rbf/badges/latest_release_relative_date.svg
https://anaconda.org/r_test/r-rbf/badges/platforms.svg
https://anaconda.org/r_test/r-rbf/badges/license.svg
https://anaconda.org/r_test/r-rbf/badges/downloads.svg