CRAN/E | CorBin

CorBin

Generate High-Dimensional Binary Data with Correlation Structures

Installation

About

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.

Key Metrics

Version 1.0.0
Published 2020-11-14 1250 days ago
Needs compilation? no
License GPL-3
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Maintainer

Maintainer

Shuang Song

song-s19@mails.tsinghua.edu.cn

Authors

Wei Jiang

aut

Shuang Song

aut / cre

Lin Hou

aut

Hongyu Zhao

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

CorBin archive