Generates multivariate binary data given marginal probabilities and correlation.

Description

Generates multivariate binary data given marginal probabilities and correlation based on algorithm described in Emrich and Piedmonte (1991).

Usage

generate.binary(no.rows, prop.vec.bin, corr.mat)

Arguments

Details

It generates multivariate binary data from the marginal probabilities and correlation matrix. It uses the algorithm described in Emrich and Piedmonte (1991). In the process, if the tetrachoric correlation matrix is non-positive definite, a nearest positive definite matrix is used.

Value

See Also

nearPD, compute.sigma.star

Examples

## Not run: ordPmat1 = matrix( c(0.15,0.70,0.40,
					0.55,0.10,0.25,
					0.25,0.10,0.15,
					0.05,0.10,0.20),4,3,byrow=TRUE)
## End(Not run)
## Not run: cmat1= matrix( 	c(1,0.2,0.2,
				0.2,1,0.2,
				0.2,0.2,1),3,3,byrow=TRUE)
## End(Not run)
## Not run: p=find.binary.prob(ordPmat1) 
## Not run: finalCorr = simBinCorr(ordPmat1, cmat1, nSim=100000)
## Not run: y=generate.binary( 1000, p$p, finalCorr$del.next)

Results