Nothing
`prestondistr` <-
function (x, truncate = -1, ...)
{
fun <- function(par, x, truncate) {
up <- dnorm(x, par[1], par[2], log = TRUE)
dn <- pnorm(truncate, par[1], par[2], lower.tail = FALSE)
-sum(up - log(dn))
}
x <- x[x > 0]
logx <- log2(x)
p <- c(mean(logx), sd(logx))
sol <- optim(p, fun, x = logx, truncate = truncate)
p <- sol$par
area <- pnorm(truncate, p[1], p[2], lower.tail = FALSE)
scale <- length(x)/sqrt(2 * pi)/p[2]/area
p <- c(p, scale)
oct <- as.preston(x, ...)
x <- as.numeric(names(oct))
fit <- p[3] * exp(-(x - p[1])^2/2/p[2]^2)
names(p) <- c("mode", "width", "S0")
out <- list(freq = oct, fitted = fit, coefficients = p)
out$method <- "maximized likelihood to log2 abundances"
class(out) <- "prestonfit"
out
}
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