Package: CorBin Type: Package Title: Generate High-Dimensional Binary Data with Correlation Structures Version: 1.0.0 Author: Wei Jiang [aut], Shuang Song [aut, cre], Lin Hou [aut] and Hongyu Zhao [aut] Maintainer: Shuang Song Description: 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. License: GPL-3 Encoding: UTF-8 LazyData: true RoxygenNote: 6.1.1 NeedsCompilation: no Packaged: 2020-11-14 08:57:58 UTC; lenovo Repository: CRAN Date/Publication: 2020-11-14 09:20:02 UTC