CorBin
Generate High-Dimensional Binary Data with Correlation Structures
We design algorithms with linear time complexity with respect to the dimension for three commonly studied correlation structures, including exchangeable, decaying-product and K-dependent correlation structures, and extend the algorithms to generate binary data of general non-negative correlation matrices with quadratic time complexity. Jiang, W., Song, S., Hou, L. and Zhao, H. "A set of efficient methods to generate high-dimensional binary data with specified correlation structures." The American Statistician. See doi:10.1080/00031305.2020.1816213 for a detailed presentation of the method.
- Version1.0.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release11/14/2020
Team
Shuang Song
Wei Jiang
Show author detailsRolesAuthorHongyu Zhao
Show author detailsRolesAuthorLin Hou
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 200 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 2,461 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 Sep 11, 2024 with 29 downloads.
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