R/qzmlnormAlt.R

In EnvStats: Package for Environmental Statistics, Including US EPA Guidance

qzmlnormAlt <-
function (p, mean = exp(1/2), cv = sqrt(exp(1) - 1), p.zero = 0.5)
{
    names.p <- names(p)
    arg.mat <- cbind.no.warn(p = as.vector(p), mean = as.vector(mean),
        cv = as.vector(cv), p.zero = as.vector(p.zero))
    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", "mean", "cv", "p.zero")) assign(i, arg.mat[!na.index,
            i])
        if (any(p < 0) || any(p > 1))
            stop("All non-missing values of 'p' must be between 0 and 1.")
        if (any(c(mean, cv) < .Machine$double.eps))
            stop("All non-missing values of 'mean' and 'cv' must be positive.")
        if (any(p.zero <= 0 | p.zero >= 1))
            stop(paste("All non-missing values of 'p.zero' must be",
                "greater than 0 and less than 1."))
        q.no.na[p <= p.zero] <- 0
        q.no.na[p == 1] <- Inf
        index <- (1:length(q.no.na))[p.zero < p & p < 1]
        if (any(index)) {
            o.fcn <- function(q, mean, cv, p.zero, p) {
                ((1 - p.zero) * plnormAlt(q, mean, cv) - p)^2
            }
            for (i in index) {
                q.no.na[i] <- nlminb(start = (1 - p.zero[i]) *
                  qlnormAlt(p[i], mean[i], cv[i]), o.fcn, lower = 0,
                  mean = mean[i], cv = cv[i], p.zero = p.zero[i],
                  p = p[i] - p.zero[i])$par
            }
        }
        q[!na.index] <- q.no.na
    }
    if (!is.null(names.p))
        names(q) <- rep(names.p, length = length(q))
    q
}