mdw
Maximum Diversity Weighting
Dimension-reduction methods aim at defining a score that maximizes signal diversity. Three approaches, tree weight, maximum entropy weights, and maximum variance weights are provided. These methods are described in He and Fong (2019) doi:10.1002/sim.8212.
- Version2024.8-1
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release07/31/2024
Documentation
Team
Youyi Fong
Zonglin He
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Last 30 days
This package has been downloaded 193 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 8 times.
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Last 365 days
This package has been downloaded 2,569 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 Aug 01, 2024 with 45 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
- Imports3 packages
- Suggests5 packages