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 <song-s19@mails.tsinghua.edu.cn>
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 <doi:10.1080/00031305.2020.1816213> 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
Built: R 4.3.3; ; 2025-01-24 06:00:49 UTC; unix
