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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.

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conda 57.1 kB | noarch/r-corbin-1.0.0-r43h142f84f_0.tar.bz2  1 year and 22 days ago 19 main
conda 56.9 kB | noarch/r-corbin-1.0.0-r42h142f84f_0.tar.bz2  2 years and 7 months ago 53 main
conda 57.3 kB | noarch/r-corbin-0.3.1-r36h6115d3f_0.tar.bz2  4 years and 10 months ago 118 main

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