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. "CorBin: An efficient R package to generate high-dimensional binary data with correlation structures." Submitted to Journal of Statistical Software.


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install.packages("CorBin")

0.3.1 by Shuang Song, 16 days ago


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


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


Documentation:   PDF Manual  


GPL-3 license



See at CRAN