Package: baggingbwsel 1.1

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>.

Authors:Daniel Barreiro-Ures [aut], Ruben Fernandez-Casal [aut, cre], Jeffrey Hart [aut], Ricardo Cao [aut], Mario Francisco-Fernandez [aut]

baggingbwsel_1.1.tar.gz
baggingbwsel_1.1.zip(r-4.5)baggingbwsel_1.1.zip(r-4.4)baggingbwsel_1.1.zip(r-4.3)
baggingbwsel_1.1.tgz(r-4.4-x86_64)baggingbwsel_1.1.tgz(r-4.4-arm64)baggingbwsel_1.1.tgz(r-4.3-x86_64)baggingbwsel_1.1.tgz(r-4.3-arm64)
baggingbwsel_1.1.tar.gz(r-4.5-noble)baggingbwsel_1.1.tar.gz(r-4.4-noble)
baggingbwsel_1.1.tgz(r-4.4-emscripten)baggingbwsel_1.1.tgz(r-4.3-emscripten)
baggingbwsel.pdf |baggingbwsel.html
baggingbwsel/json (API)

# Install 'baggingbwsel' in R:
install.packages('baggingbwsel', repos = c('https://rubenfcasal.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rubenfcasal/baggingbwsel/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

3.00 score 224 downloads 6 exports 10 dependencies

Last updated 1 months agofrom:02f1eb8248. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-win-x86_64OKOct 25 2024
R-4.5-linux-x86_64OKOct 25 2024
R-4.4-win-x86_64OKOct 25 2024
R-4.4-mac-x86_64OKOct 25 2024
R-4.4-mac-aarch64OKOct 25 2024
R-4.3-win-x86_64OKOct 25 2024
R-4.3-mac-x86_64OKOct 25 2024
R-4.3-mac-aarch64OKOct 25 2024

Exports:bagcvbagreghboot_baghsss_densmopttss_dens

Dependencies:codetoolsdoParallelforeachiteratorskeddmclustmisc3dnor1mixRcppsm