Nothing
enormSinglyCensored.qq.reg.w.cen.level <-
function (x, censored, N, T1, n.cen, censoring.side, ci, ci.method = "normal.approx",
ci.type, conf.level, plot.pos.con = 0.375, ci.sample.size = N -
n.cen, pivot.statistic = c("z", "t"))
{
qq.list <- qqPlot(x, plot.pos.con = plot.pos.con, plot.it = FALSE)
if (censoring.side == "left")
index <- n.cen:N
else index <- 1:(N - n.cen + 1)
parameters <- lm(qq.list$y ~ qq.list$x, subset = index)$coef
names(parameters) <- c("mean", "sd")
ret.list <- list(parameters = parameters, plot.pos.con = plot.pos.con)
if (ci) {
ci.method <- match.arg(ci.method)
pivot.statistic <- match.arg(pivot.statistic)
ci.obj <- ci.normal.approx(theta.hat = parameters[1],
sd.theta.hat = parameters[2]/sqrt(ci.sample.size),
n = ci.sample.size, df = ci.sample.size - 1, ci.type = ci.type,
alpha = 1 - conf.level, test.statistic = pivot.statistic)
ci.obj$parameter <- "mean"
ret.list <- c(ret.list, list(ci.obj = ci.obj))
}
ret.list
}
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