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>.

Version: 1.1
Depends: mclust, foreach
Imports: Rcpp (≥ 1.0.3), parallel, doParallel, kedd, stats, sm, nor1mix, misc3d
LinkingTo: Rcpp
Suggests: rgl, tkrplot, rpanel
Published: 2024-07-27
DOI: 10.32614/CRAN.package.baggingbwsel
Author: Daniel Barreiro-Ures [aut], Ruben Fernandez-Casal [aut, cre], Jeffrey Hart [aut], Ricardo Cao [aut], Mario Francisco-Fernandez [aut]
Maintainer: Ruben Fernandez-Casal <rubenfcasal at gmail.com>
BugReports: https://github.com/rubenfcasal/baggingbwsel/issues/
License: GPL-3
URL: https://rubenfcasal.github.io/baggingbwsel/, https://github.com/rubenfcasal/baggingbwsel/
NeedsCompilation: yes
Materials: README
CRAN checks: baggingbwsel results

Documentation:

Reference manual: baggingbwsel.pdf

Downloads:

Package source: baggingbwsel_1.1.tar.gz
Windows binaries: r-devel: baggingbwsel_1.1.zip, r-release: baggingbwsel_1.1.zip, r-oldrel: baggingbwsel_1.1.zip
macOS binaries: r-release (arm64): baggingbwsel_1.1.tgz, r-oldrel (arm64): baggingbwsel_1.1.tgz, r-release (x86_64): baggingbwsel_1.1.tgz, r-oldrel (x86_64): baggingbwsel_1.1.tgz
Old sources: baggingbwsel archive

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