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:
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-4.5-x86_64)baggingbwsel_1.1.tgz(r-4.5-arm64)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')) |
Bug tracker:https://github.com/rubenfcasal/baggingbwsel/issues
Pkgdown site:https://rubenfcasal.github.io
Last updated 6 months agofrom:02f1eb8248. Checks:12 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 24 2025 |
| R-4.5-win-x86_64 | OK | Mar 24 2025 |
| R-4.5-mac-x86_64 | OK | Mar 24 2025 |
| R-4.5-mac-aarch64 | OK | Mar 24 2025 |
| R-4.5-linux-x86_64 | OK | Mar 24 2025 |
| R-4.4-win-x86_64 | OK | Mar 24 2025 |
| R-4.4-mac-x86_64 | OK | Mar 24 2025 |
| R-4.4-mac-aarch64 | OK | Mar 24 2025 |
| R-4.4-linux-x86_64 | OK | Mar 24 2025 |
| R-4.3-win-x86_64 | OK | Mar 24 2025 |
| R-4.3-mac-x86_64 | OK | Mar 24 2025 |
| R-4.3-mac-aarch64 | OK | Mar 24 2025 |
Exports:bagcvbagreghboot_baghsss_densmopttss_dens
Dependencies:codetoolsdoParallelforeachiteratorskeddmclustmisc3dnor1mixRcppsm
