fcondXA function

Conditional density evaluation in the semiparametric model

Conditional density evaluation in the semiparametric model

This function evaluates a density path conditionally on a posterior realization of the normalized measure.

fcondXA(x, distr, Tau, J, sigma)

Details

For internal use.

Examples

## The function is currently defined as function(x, distr = 1, Tau, J, sigma) { pJ <- J / sum(J) K <- matrix(NA, nrow = length(Tau), ncol = length(x)) for (i in seq(Tau)) { K[i, ] <- dk(x, distr = distr, mu = Tau[i], sigma = sigma) } fcondXA <- apply(K, 2, function(x) sum(x * pJ)) return(fcondXA) }
  • Maintainer: Guillaume Kon Kam King
  • License: GPL (>= 2)
  • Last published: 2023-03-24

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