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 198 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.
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Last 365 days
This package has been downloaded 2,115 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 29, 2024 with 44 downloads.
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Dependencies
- Depends2 packages
- Imports6 packages
- Suggests3 packages
- Linking To1 package