#' Confusion Matrix Measures - False Discovery Rate
#'
#' Calculate False Discovery Rate, defined as FP / (FP + TP), for a given confusion matrix.
#'
#' @param true.positive Scalar - Cases identified as true positive
#' @param false.positive Scalar - Cases identified as false positive
#' @param confusion.matrix Matrix - confusion matrix.
#'
#' @aliases confusion.matrix.false.discovery.rate
#'
#' @return A scalar with computed value.
confusion.matrix.false.discovery.rate.simple <- function(
false.positive = 0
,true.positive = 1
) {
false.positive / (false.positive + true.positive)
}
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