ADDT.life.failure.probability <-
function (time.vec,
distribution,
FailLevel.tran,
xuse.tran,
theta.hat)
{
beta2.names <- paste("beta", seq(2, ncol(xuse.tran) + 1), sep = "")
theta.hat.names <- c("beta0", "beta1", beta2.names, "sigma")
names(theta.hat) <- theta.hat.names
Deg.diff <- theta.hat["beta0"] - FailLevel.tran
beta2.vec <- theta.hat[beta2.names]
beta.x <- as.matrix(xuse.tran) %*% as.matrix(theta.hat[beta2.names],
ncol = 1)
xfactor <- exp(-beta.x) / abs(theta.hat["beta1"])
mu.quantile <- Deg.diff * xfactor
sigma.quantile <- theta.hat[length(theta.hat)] * xfactor
`if`(theta.hat["beta1"] > 0,
answers <- 1 - wqmf.phibf((-time.vec - c(mu.quantile)) / c(sigma.quantile),distribution),
answers <- wqmf.phibf((time.vec - c(mu.quantile)) / c(sigma.quantile),distribution))
return(answers)
}
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