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) <arXiv:2105.04134>.
| Version: |
1.0 |
| Depends: |
mclust, foreach |
| Imports: |
Rcpp (≥ 1.0.3), parallel, doParallel, kedd, stats, sm, nor1mix, rgl, rpanel, tkrplot, misc3d |
| LinkingTo: |
Rcpp |
| Published: |
2021-07-12 |
| Author: |
Daniel Barreiro-Ures [aut, cre],
Jeffrey Hart [aut],
Ricardo Cao [aut],
Mario Francisco-Fernandez [aut] |
| Maintainer: |
Daniel Barreiro-Ures <daniel.barreiro.ures at udc.es> |
| License: |
GPL-3 |
| NeedsCompilation: |
yes |
| CRAN checks: |
baggingbwsel results |
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