mixDenBi {bayesm}  R Documentation 
Compute Bivariate Marginal Density for a Normal Mixture
Description
mixDenBi
computes the implied bivariate marginal density from a mixture of normals with specified mixture probabilities and component parameters.
Usage
mixDenBi(i, j, xi, xj, pvec, comps)
Arguments
i 
index of first variable 
j 
index of second variable 
xi 
grid of values of first variable 
xj 
grid of values of second variable 
pvec 
normal mixture probabilities 
comps 
list of lists of components 
Details
length(comps)  is the number of mixture components 
comps[[j]]  is a list of parameters of the j th component 
comps[[j]]$mu  is mean vector 
comps[[j]]$rooti  is the UL decomp of \Sigma^{1}

Value
An array (length(xi)=length(xj) x 2
) with density value
Warning
This routine is a utility routine that does not check the input arguments for proper dimensions and type.
Author(s)
Peter Rossi, Anderson School, UCLA, perossichi@gmail.com.
References
For further discussion, see Chapter 3, Bayesian Statistics and Marketing by Rossi, Allenby, and McCulloch.
See Also
[Package bayesm version 3.16 Index]