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.
- Version1.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release07/27/2024
Documentation
Team
Ruben Fernandez-Casal
Daniel Barreiro-Ures
Show author detailsRolesAuthorJeffrey Hart
Show author detailsRolesAuthorRicardo Cao
Show author detailsRolesAuthorMario Francisco-Fernandez
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 216 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.
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Last 365 days
This package has been downloaded 2,103 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jul 29, 2024 with 44 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Depends2 packages
- Imports6 packages
- Suggests3 packages
- Linking To1 package