state: Stock Status Classification Metrics

In laurieKell/FLCandy: Candidate methods for FLR

Stock Status Classification Metrics

Description

Evaluates performance of stock status classification (Overfished/Healthy).

Usage

state(obs, hat)

Arguments

obs	Numeric vector of observed stock status values
hat	Numeric vector of predicted status values

Value

Data.frame containing:

• accuracy: Overall classification accuracy

• precision: Precision for Overfished classification

• recall: Recall for Overfished classification

Note

Status determined using threshold at 1 (B/BMSY). Check variable names in function code.

Examples

obs_status <- runif(100, 0.5, 1.5)
pred_status <- obs_status * exp(rnorm(100, sd=0.2))
state(obs_status, pred_status)

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