validation.range

This function checks if there are correlation range violations among 
binary-binary, binary-normal and normal-normal combinations.

Generating multiple binary and normal variables simultaneously given marginal characteristics and association structure based on the methodology proposed by Demirtas and Doganay (2012) <DOI:10.1080/10543406.2010.521874>.

Ran Gao

BinNor

Simultaneous Generation of Multivariate Binary and Normal
Variates

Anup Amatya

Hakan Demirtas

validation.range function

<dl> <dt>no.bin</dt>
<dd>Number of binary variables</dd> <dt>no.nor</dt>
<dd>Number of normal variables</dd> <dt>prop.vec.bin</dt>
<dd>Probability vector for binary variables</dd> <dt>corr.mat</dt>
<dd>Specified correlation matrix</dd></dl>

Arguments

Checks if the correlation terms are within the feasible range — validation.range

<dl>

 <dt>no.bin</dt>
<dd>Number of binary variables</dd>

 <dt>no.nor</dt>
<dd>Number of normal variables</dd>

 <dt>prop.vec.bin</dt>
<dd>Probability vector for binary variables</dd>

 <dt>corr.mat</dt>
<dd>Specified correlation matrix</dd>

</dl>

validation.range: Checks if the correlation terms are within the feasible range

Description

Usage

Arguments

Examples