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CorBin  

Generate High-Dimensional Binary Data with Correlation Structures
View on CRAN: Click here


Download and install CorBin package within the R console
Install from CRAN:
install.packages("CorBin")

Install from Github:
library("remotes")
install_github("cran/CorBin")

Install by package version:
library("remotes")
install_version("CorBin", "1.0.0")



Attach the package and use:
library("CorBin")
Maintained by
Shuang Song
[Scholar Profile | Author Map]
First Published: 2019-08-08
Latest Update: 2020-11-14
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.
How to cite:
Shuang Song (2019). CorBin: Generate High-Dimensional Binary Data with Correlation Structures. R package version 1.0.0, https://cran.r-project.org/web/packages/CorBin. Accessed 10 Apr. 2025.
Previous versions and publish date:
0.3.1 (2019-08-08 15:40), 0.3.3 (2019-10-19 06:10)
Other packages that cited CorBin R package
View CorBin citation profile
Other R packages that CorBin depends, imports, suggests or enhances
Complete documentation for CorBin
Functions, R codes and Examples using the CorBin R package
Some associated functions: cBern . cBern1dep . cBernDCP . cBernEx . rhoMax1dep . rhoMaxDCP . rhoMaxEx . 
Some associated R codes: cBern.R . cBern1dep.R . cBernAR_single.R . cBernDCP.R . cBernEx.R . cBernMdep0.R . cBernMdep0_single.R . cBernMdep1.R . cBernMdep1_single.R . cBernMdepk.R . cBernMdepk_single.R . rhoMaxDCP.R . rhoMaxEx.R . rhoMaxMdep.R . rhoMaxMdep1.R .  Full CorBin package functions and examples
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