Nothing
qlnormMix <-
function (p, meanlog1 = 0, sdlog1 = 1, meanlog2 = 0, sdlog2 = 1,
p.mix = 0.5)
{
names.p <- names(p)
arg.mat <- cbind.no.warn(p = as.vector(p), meanlog1 = as.vector(meanlog1),
sdlog1 = as.vector(sdlog1), meanlog2 = as.vector(meanlog2),
sdlog2 = as.vector(sdlog2), p.mix = as.vector(p.mix))
na.index <- is_na_matrix(arg.mat)
if (all(na.index))
q <- rep(NA, nrow(arg.mat))
else {
q <- numeric(nrow(arg.mat))
q[na.index] <- NA
q.no.na <- q[!na.index]
for (i in c("p", "meanlog1", "sdlog1", "meanlog2", "sdlog2",
"p.mix")) assign(i, arg.mat[!na.index, i])
if (any(p < 0 | p > 1))
stop("All non-missing values of 'p' must be between 0 and 1.")
if (any(c(sdlog1, sdlog2) < .Machine$double.eps))
stop("All non-missing values of 'sdlog1' and 'sdlog2' must be positive.")
if (any(p.mix < 0 | p.mix > 1))
stop("All non-missing values of 'p.mix' must be between 0 and 1.")
q.no.na[p == 0] <- 0
q.no.na[p == 1] <- Inf
index <- (1:length(q.no.na))[0 < p & p < 1]
if (any(index)) {
o.fcn <- function(q, meanlog1, sdlog1, meanlog2,
sdlog2, p.mix, p) {
(plnormMix(q, meanlog1, sdlog1, meanlog2, sdlog2,
p.mix) - p)^2
}
for (i in index) {
q.no.na[i] <- nlminb(start = (1 - p.mix[i]) *
qlnorm(p[i], meanlog1[i], sdlog1[i]) + p.mix[i] *
qlnorm(p[i], meanlog2[i], sdlog2[i]), o.fcn,
lower = 0, meanlog1 = meanlog1[i], sdlog1 = sdlog1[i],
meanlog2 = meanlog2[i], sdlog2 = sdlog2[i],
p.mix = p.mix[i], p = p[i])$par
}
}
q[!na.index] <- q.no.na
}
if (!is.null(names.p))
names(q) <- rep(names.p, length = length(q))
q
}
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