Tetra.Corr.BB {BinNonNor} | R Documentation |
Computes the tetrachoric correlation matrix for binary variables given the specified correlation matrix
Description
This function computes the tetrachoric correlation matrix for binary-binary combinations as formulated in Demirtas et al. (2012).
Usage
Tetra.Corr.BB(n.BB, prop.vec, corr.vec = NULL, corr.mat = NULL)
Arguments
n.BB |
Number of binary variables. |
prop.vec |
Probability vector for binary variables. |
corr.vec |
Vector of elements below the diagonal of correlation matrix ordered columnwise. |
corr.mat |
Specified correlation matrix. |
Value
A correlation matrix of size n.BB*n.BB.
References
Demirtas, H., Hedeker, D., and Mermelstein, R.J. (2012). Simulation of massive public health data by power polynomials. Statistics in Medicine, 31(27), 3337-3346.
See Also
Tetra.Corr.BB
, Biserial.Corr.BN
, overall.corr.mat
Examples
n.BB=2
prop.vec=c(0.4,0.7)
corr.vec=NULL
corr.mat=matrix(c(1.0,-0.3,-0.3,-0.3,-0.3,-0.3,
-0.3,1.0,-0.3,-0.3,-0.3,-0.3,
-0.3,-0.3,1.0,0.4,0.5,0.6,
-0.3,-0.3,0.4,1.0,0.7,0.8,
-0.3,-0.3,0.5,0.7,1.0,0.9,
-0.3,-0.3,0.6,0.8,0.9,1.0),6,by=TRUE)
tetcor.mat=Tetra.Corr.BB(n.BB,prop.vec,corr.vec=NULL,corr.mat)
[Package BinNonNor version 1.5.3 Index]