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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Reference manual: baggingbwsel.pdf
Package source: baggingbwsel_1.0.tar.gz
Windows binaries: r-devel: baggingbwsel_1.0.zip, r-release: baggingbwsel_1.0.zip, r-oldrel: baggingbwsel_1.0.zip
macOS binaries: r-release (arm64): baggingbwsel_1.0.tgz, r-release (x86_64): baggingbwsel_1.0.tgz, r-oldrel: baggingbwsel_1.0.tgz

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