Nothing
plnormTrunc <-
function (q, meanlog = 0, sdlog = 1, min = 0, max = Inf)
{
names.q <- names(q)
arg.mat <- cbind.no.warn(q = as.vector(q), meanlog = as.vector(meanlog),
sdlog = as.vector(sdlog), min = as.vector(min), max = as.vector(max))
na.index <- is_na_matrix(arg.mat)
if (all(na.index))
p <- rep(NA, nrow(arg.mat))
else {
p <- numeric(nrow(arg.mat))
p[na.index] <- NA
p.no.na <- p[!na.index]
for (i in c("q", "meanlog", "sdlog", "min", "max")) assign(i,
arg.mat[!na.index, i])
if (any(sdlog < .Machine$double.eps))
stop("All non-missing values of 'sdlog' must be positive.")
if (any(min >= max))
stop(paste("All non-missing values of 'min' must be",
"less than the corresponding elements of 'max'."))
if (any(min < 0))
stop(paste("All non-missing values of 'min' must be",
"greater than or equal to 0."))
q.low <- q < min
p.no.na[q.low] <- 0
q.high <- q > max
p.no.na[q.high] <- 1
if (any(index <- !(q.low | q.high))) {
meanlog <- meanlog[index]
sdlog <- sdlog[index]
F.min <- plnorm(min[index], meanlog = meanlog, sdlog = sdlog)
p.no.na[index] <- (plnorm(q[index], meanlog = meanlog,
sdlog = sdlog) - F.min)/(plnorm(max[index], meanlog = meanlog,
sdlog = sdlog) - F.min)
}
p[!na.index] <- p.no.na
}
if (!is.null(names.q))
names(p) <- rep(names.q, length = length(p))
p
}
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