Nothing
ci.land <-
function (lambda, mu.hat, sig.sq.hat, n, nu, gamma.sq, ci.type = c("two-sided",
"lower", "upper"), conf.level = 0.95)
{
ci.type <- match.arg(ci.type)
if (any(length.list(lambda, mu.hat, sig.sq.hat, nu, gamma.sq,
ci.type, conf.level) > 1))
stop(paste("'lambda', 'mu.hat', 'sig.sq.hat', 'nu', 'ci.type', and 'conf.level'",
"must be vectors of length 1"))
if (abs(lambda) < .Machine$double.eps)
stop("'lambda' cannot be 0")
if (sig.sq.hat < .Machine$double.eps)
stop("'sig.sq.hat' must be larger than 0")
if (nu < 2 || nu != trunc(nu))
stop("'nu' must be an integer greater than or equal to 2")
if (gamma.sq < .Machine$double.eps)
stop("'gamma.sq' must be larger than 0")
if (conf.level < 0.5 || conf.level >= 1)
stop("'conf.level' must be at least 50% and less than 100%")
k <- (nu + 1)/(2 * lambda * gamma.sq)
S <- sqrt((2 * lambda * sig.sq.hat)/k)
if (ci.type == "two-sided") {
alpha <- (1 - conf.level)/2
lcl <- mu.hat + lambda * sig.sq.hat + ((k * S)/sqrt(nu)) *
lands.C(S, nu, alpha)
ucl <- mu.hat + lambda * sig.sq.hat + ((k * S)/sqrt(nu)) *
lands.C(S, nu, 1 - alpha)
}
else {
if (ci.type == "lower") {
lcl <- mu.hat + lambda * sig.sq.hat + ((k * S)/sqrt(nu)) *
lands.C(S, nu, 1 - conf.level)
ucl <- Inf
}
else {
lcl <- -Inf
ucl <- mu.hat + lambda * sig.sq.hat + ((k * S)/sqrt(nu)) *
lands.C(S, nu, conf.level)
}
}
ci.limits <- c(lcl, ucl)
names(ci.limits) <- c("LCL", "UCL")
ret.obj <- list(name = "Confidence", parameter = paste("mu +",
lambda, "* (sigma^2)"), limits = ci.limits, type = ci.type,
method = "Land", conf.level = conf.level, sample.size = n,
dof = nu)
oldClass(ret.obj) <- "intervalEstimate"
ret.obj
}
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