CorBin

Generate High-Dimensional Binary Data with Correlation Structures

CRAN Package

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

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