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.
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curl https://depscope.dev/api/check/conda/r-rbfFirst published · 2020-09-25 07:37:51.350000+00:00
Last updated · 2025-09-23 00:59:41.940000+00:00