Bagging Bandwidth Selection in Kernel Density and Regression Estimation R package baggingbwsel version 1.1 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>. Software Depends: mclust, foreach Imports: Rcpp (>= 1.0.3), parallel, doParallel, kedd, stats, sm, nor1mix, misc3d LinkingTo: Rcpp Suggests: rgl, tkrplot, rpanel Ruben Fernandez-Casal <rubenfcasal@gmail.com> Comprehensive R Archive Network (CRAN) Daniel Barreiro-Ures [aut], Ruben Fernandez-Casal [aut, cre], Jeffrey Hart [aut], Ricardo Cao [aut], Mario Francisco-Fernandez [aut] GPL-3 2024-07-27 application/tgz https://CRAN.R-project.org/package=baggingbwsel doi:10.32614/CRAN.package.baggingbwsel