kedd
Kernel Estimator and Bandwidth Selection for Density and Its Derivatives
Smoothing techniques and computing bandwidth selectors of the nth derivative of a probability density for one-dimensional data (described in Arsalane Chouaib Guidoum (2020) doi:10.48550/arXiv.2012.06102 [stat.CO]).
- Version1.0.4
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- kedd citation info
- Last release02/01/2024
Documentation
Team
Iago Giné-Vázquez
MaintainerShow author detailsArsalane Chouaib Guidoum
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Insights
Last 30 days
This package has been downloaded 296 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 3,597 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Mar 24, 2025 with 37 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
- Suggests5 packages
- Reverse Imports1 package