BNPdensity (version 0.7.8)

fcondYZXA: Conditional posterior distribution of the bivariate latents (Y,Z)

Description

This function simulates form the conditional posterior distribution of the latents (Y,Z).

Usage

fcondYZXA(x, distr, Tauy, Tauz, J)

Details

For internal use.

Examples

## The function is currently defined as
function (x, distr = 1, Tauy, Tauz, J) 
{
    K <- matrix(NA, nrow = length(Tauy), ncol = length(x))
    for (i in seq(Tauy)) {
        K[i, ] <- dk(x, distr = distr, mu = Tauy[i], sigma = Tauz[i]) * 
            J[i]
    }
    if (any(is.na(K))) 
        print(K, Tauy, Tauz, J)
    pK <- prop.table(K, margin = 2)
    j <- apply(pK, 2, function(x) sample(length(Tauy), size = 1, 
        prob = x))
    return(matrix(c(y = Tauy[j], z = Tauz[j]), nrow = length(x), 
        ncol = 2))
  }