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#' FDR threshold based on the Benjamini-Hochberg algorithm
#'
#' @param p a vector of p-values
#' @param q False Discovery Rate level
#'
#' @return p-value threshold based on independence or positive dependence
#' @export
#' @seealso \code{\link{which.cp}}
#' @examples
#' fdrBH(seq(0.01,0.1,0.01),q=0.1)
fdrBH = function(p,q){
p = sort(p)
V = length(p)
I = 1:V
cVID = 1
# cVN = sum(1/I)
pID = ifelse(all(p>I/V*q/cVID),0,max(p[p<=I/V*q/cVID]))
# pN = max(p[p<=I/V*q/cVN])
return(pID)
}
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