skillSummary: Stock Assessment Model Summary

In laurieKell/FLCandy: Candidate methods for FLR

Stock Assessment Model Summary

Description

Computes comprehensive performance metrics for fishery management procedures.

Usage

skillSummary(om, mp)

Arguments

om	Numeric vector of operating model outputs (true values)
mp	Numeric vector of management procedure predictions

Value

Data.frame containing:

• AUC: Area Under ROC Curve

• TSS: True Skill Statistic at reference threshold

• BSS: Best achievable skill score

• ref: Optimal reference threshold

• TPR/FPR: Rates at reference threshold

• TPR2/FPR2: Rates at optimal threshold

Examples

om <- runif(100, 0.5, 1.5)
mp <- om * exp(rnorm(100, sd=0.2))
skillSummary(om, mp)

laurieKell/FLCandy documentation built on April 17, 2025, 5:23 p.m.