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
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