#' OLE.fun
#'
#' @param dd
#' @param alpha
#'
#' @return
#' @export
#'
#' @examples
OLE.fun <-
function(dd, alpha){
dd <- subset(dd, dd[,2]>0)
sights <- rev(sort(dd[,1]))
k <- length(sights)
v <- (1/(k-1)) * sum(log((sights[1] - sights[k])/(sights[1] - sights[2:(k-1)])))
e <- matrix(rep(1,k), ncol=1)
SL <-(-log(1-alpha/2)/length(sights))^-v
SU <-(-log(alpha/2)/length(sights))^-v
myfun <- function(i,j,v){
(gamma(2*v+i)*gamma(v+j))/(gamma(v+i)*gamma(j))
}
lambda <- outer(1:k, 1:k, myfun, v=v)
lambda <- ifelse(lower.tri(lambda), lambda, t(lambda))
a <- as.vector(solve(t(e)%*%solve(lambda)%*%e)) * solve(lambda)%*%e
lowerCI <- max(sights) + ((max(sights)-min(sights))/(SL-1))
upperCI <- max(sights) + ((max(sights)-min(sights))/(SU-1))
extest <- sum(t(a)%*%sights)
res <- data.frame(Estimate=extest, lowerCI=lowerCI, upperCI=upperCI)
class(res) <-"extmod"
return(res)
}
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