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

Version: 0.3.1
Published: 2019-08-08
Author: Shuang Song [aut, cre], Wei Jiang [aut], Lin Hou [aut] and Hongyu Zhao [aut]
Maintainer: Shuang Song <song-s19 at mails.tsinghua.edu.cn>
License: GPL-3
NeedsCompilation: no
CRAN checks: CorBin results

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Reference manual: CorBin.pdf
Package source: CorBin_0.3.1.tar.gz
Windows binaries: r-devel: CorBin_0.3.1.zip, r-release: CorBin_0.3.1.zip, r-oldrel: CorBin_0.3.1.zip
OS X binaries: r-release: CorBin_0.3.1.tgz, r-oldrel: CorBin_0.3.1.tgz

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