% Generated by roxygen2: do not edit by hand % Please edit documentation in R/metrics.R \name{prod_sens_spec} \alias{prod_sens_spec} \title{Calculate the product of sensitivity and specificity} \usage{ prod_sens_spec(tp, fp, tn, fn, ...) } \arguments{ \item{tp}{(numeric) number of true positives.} \item{fp}{(numeric) number of false positives.} \item{tn}{(numeric) number of true negatives.} \item{fn}{(numeric) number of false negatives.} \item{...}{for capturing additional arguments passed by method.} } \description{ Calculate the product of sensitivity and specificity from true positives, false positives, true negatives and false negatives. The inputs must be vectors of equal length. \cr \cr sensitivity = tp / (tp + fn) \cr specificity = tn / (tn + fp) \cr prod_sens_spec = sensitivity * specificity \cr } \examples{ prod_sens_spec(10, 5, 20, 10) prod_sens_spec(c(10, 8), c(5, 7), c(20, 12), c(10, 18)) } \seealso{ Other metric functions: \code{\link{F1_score}}, \code{\link{abs_d_ppv_npv}}, \code{\link{abs_d_sens_spec}}, \code{\link{accuracy}}, \code{\link{cohens_kappa}}, \code{\link{cutpoint}}, \code{\link{false_omission_rate}}, \code{\link{misclassification_cost}}, \code{\link{npv}}, \code{\link{odds_ratio}}, \code{\link{p_chisquared}}, \code{\link{plr}}, \code{\link{ppv}}, \code{\link{precision}}, \code{\link{prod_ppv_npv}}, \code{\link{recall}}, \code{\link{risk_ratio}}, \code{\link{sensitivity}}, \code{\link{specificity}}, \code{\link{sum_ppv_npv}}, \code{\link{sum_sens_spec}}, \code{\link{total_utility}}, \code{\link{tpr}}, \code{\link{tp}}, \code{\link{youden}} }