generate.binaryVar

Generate multivariate Binary data using the Emrich and Piedmonte (1991) approach
Approach

Generate multivariate discrete data with generalized Poisson, negative binomial and binomial marginal distributions using user-specified distribution parameters and a target correlation matrix. The method is described in Cheng and Demirtas (2026) <doi:10.48550/arXiv.2602.07707>.

Chak Kwong (Tommy) Cheng

MultiDiscreteRNG

Generate Multivariate Discrete Data

Hakan Demirtas

generate.binaryVar function

<dl><dt>nObs</dt>
<dd>number of observations</dd>
<dt>prop.vec.bin</dt>
<dd>probability of binary variables in a vector</dd>
<dt>corr.mat</dt>
<dd>Correlation matrix</dd></dl>

Arguments

Generate multivariate Binary data using the Emrich and Piedmonte (1991) approach
Approach — generate.binaryVar

<dl>

<dt>nObs</dt>
<dd>number of observations</dd>


<dt>prop.vec.bin</dt>
<dd>probability of binary variables in a vector</dd>


<dt>corr.mat</dt>
<dd>Correlation matrix</dd>

</dl>

generate.binaryVar: Generate multivariate Binary data using the Emrich and Piedmonte (1991) approach Approach

Description

Usage

Value

Arguments