mixDenBi: Compute Bivariate Marginal Density for a Normal Mixture

In bayesm: Bayesian Inference for Marketing/Micro-Econometrics

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 jth 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, [e-mail].

References

For further discussion, see Chapter 3, Bayesian Statistics and Marketing by Rossi, Allenby, and McCulloch.

See Also

rnmixGibbs, mixDen

bayesm documentation built on Sept. 24, 2023, 1:07 a.m.