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. "A set of efficient methods to generate high-dimensional binary data with correlation structures." Submitted.

Getting started

Package details

AuthorShuang Song [aut, cre], Wei Jiang [aut], Lin Hou [aut] and Hongyu Zhao [aut]
MaintainerShuang Song <[email protected]>
LicenseGPL-3
Version0.3.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("CorBin")

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CorBin documentation built on Oct. 30, 2019, 9:46 a.m.