fcondXA2cens2: Conditional density evaluation in the fully nonparametric...

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

Conditional density evaluation in the fully nonparametric model for censored data

Description

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

Usage

fcondXA2cens2(xleft, xright, censor_code_filters, distr, Tauy, Tauz, J)

Details

For internal use

Examples

## The function is currently defined as
function(xleft, xright, censor_code_filters, distr, Tauy, Tauz,
         J) {
  pJ <- J / sum(J)
  K <- matrix(NA, nrow = length(Tauy), ncol = length(xleft))
  for (i in seq(Tauy)) {
    K[i, ] <- dkcens2(
      xleft = xleft, xright = xright, c_code_filters = censor_code_filters,
      distr = distr, mu = Tauy[i], sigma = Tauz[i]
    )
  }
  fcondXA2cens <- apply(K, 2, function(x) sum(x * pJ))
  return(fcondXA2cens)
}

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