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 for a detailed presentation of the method.


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install.packages("CorBin")

1.0.0 by Shuang Song, 11 days ago


Browse source code at https://github.com/cran/CorBin


Authors: Wei Jiang [aut] , Shuang Song [aut, cre] , Lin Hou [aut] and Hongyu Zhao [aut]


Documentation:   PDF Manual  


GPL-3 license



See at CRAN