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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.1.1 |
rolling linux/jammy R-4.5 | RBF_2.1.1.tar.gz |
276.4 KiB |
2.1.1 |
rolling linux/noble R-4.5 | RBF_2.1.1.tar.gz |
276.4 KiB |
2.1.1 |
rolling source/ R- | RBF_2.1.1.tar.gz |
243.0 KiB |
2.1.1 |
latest linux/jammy R-4.5 | RBF_2.1.1.tar.gz |
276.4 KiB |
2.1.1 |
latest linux/noble R-4.5 | RBF_2.1.1.tar.gz |
276.4 KiB |
2.1.1 |
latest source/ R- | RBF_2.1.1.tar.gz |
243.0 KiB |
2.1.1 |
2026-04-26 source/ R- | RBF_2.1.1.tar.gz |
243.0 KiB |
2.1.1 |
2026-04-23 source/ R- | RBF_2.1.1.tar.gz |
243.0 KiB |
2.1.1 |
2026-04-09 windows/windows R-4.5 | RBF_2.1.1.zip |
288.9 KiB |
2.1.1 |
2025-04-20 source/ R- | RBF_2.1.1.tar.gz |
243.0 KiB |