rfyzstar: Conditional posterior distribution of the distinct vectors...

In konkam/BNPdensity: Ferguson-Klass Type Algorithm for Posterior Normalized Random Measures

Conditional posterior distribution of the distinct vectors (Ystar,Zstar)

Description

This function evaluates the ratio of conditional posterior distributions of the distinct latent vectors (Ystar,Zstar).

Usage

rfyzstar(
  v,
  v2,
  z,
  z2,
  x,
  distr.k,
  distr.py0,
  mu.py0,
  sigma.py0,
  distr.pz0,
  mu.pz0,
  sigma.pz0
)

Details

For internal use.

Examples

## The function is currently defined as
function(v, v2, z, z2, x, distr.k, distr.py0, mu.py0, sigma.py0, distr.pz0, mu.pz0, sigma.pz0) {
  alpha <- p0(v, distr = distr.py0, mu = mu.py0, sigma = sigma.py0) /
    p0(v2, distr = distr.py0, mu = mu.py0, sigma = sigma.py0) *
    p0(z, distr = distr.pz0, mu = mu.pz0, sigma = sigma.pz0) /
    p0(z2, distr = distr.pz0, mu = mu.pz0, sigma = sigma.pz0)
  Prod <- 1
  for (i in seq(length(x))) {
    fac <- dk(x[i], distr = distr.k, mu = v, sigma = z) / dk(x[i],
      distr = distr.k, mu = v2, sigma = z2
    )
    Prod <- Prod * fac
  }
  f <- alpha * Prod
  return(f)
}

konkam/BNPdensity documentation built on March 14, 2024, 7:15 a.m.