baggingbwsel
Bagging Bandwidth Selection in Kernel Density and Regression Estimation
Bagging bandwidth selection methods for the Parzen-Rosenblatt and Nadaraya-Watson estimators. These bandwidth selectors can achieve greater statistical precision than their non-bagged counterparts while being computationally fast. See Barreiro-Ures et al. (2020) <doi:10.1093/biomet/asaa092> and Barreiro-Ures et al. (2021) <doi:10.48550/arXiv.2105.04134>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1 |
rolling linux/jammy R-4.5 | baggingbwsel_1.1.tar.gz |
294.5 KiB |
1.1 |
rolling linux/noble R-4.5 | baggingbwsel_1.1.tar.gz |
296.0 KiB |
1.1 |
rolling source/ R- | baggingbwsel_1.1.tar.gz |
36.3 KiB |
1.1 |
latest linux/jammy R-4.5 | baggingbwsel_1.1.tar.gz |
294.5 KiB |
1.1 |
latest linux/noble R-4.5 | baggingbwsel_1.1.tar.gz |
296.0 KiB |
1.1 |
latest source/ R- | baggingbwsel_1.1.tar.gz |
36.3 KiB |
1.1 |
2026-04-26 source/ R- | baggingbwsel_1.1.tar.gz |
36.3 KiB |
1.1 |
2026-04-23 source/ R- | baggingbwsel_1.1.tar.gz |
36.3 KiB |
1.1 |
2026-04-09 windows/windows R-4.5 | baggingbwsel_1.1.zip |
616.3 KiB |
1.1 |
2025-04-20 source/ R- | baggingbwsel_1.1.tar.gz |
36.3 KiB |