fx.mfmc.quantiles <-
function (theta.hat, multiple.mlest.out, prob.vec, time.range,
number.times = 10)
{
distribution <- multiple.mlest.out[[1]]$distribution
log.of.data <- is.logdist(distribution)
the.times <- seq(time.range[1], time.range[2], length = number.times)
the.probs <- fx.mfmc.probs(theta.hat, multiple.mlest.out,
the.times)
good.ones <- the.probs > 0 & the.probs < 1
quanhat <- approx(pp.quant(the.probs[good.ones], distribution),
pp.data(the.times[good.ones], log.of.data), pp.quant(prob.vec,
distribution), rule = 1)$y
if (log.of.data)
quanhat <- exp(quanhat)
if (F) {
cat("\nthe.times=", paste(format(the.times), collapse = ","))
cat("\nthe.probs=", paste(format(the.probs), collapse = ","))
cat("\nfx.mfmc.quantiles answer=", paste(quanhat, collapse = ","),
"\n")
}
return(quanhat)
}
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