PN: Confusion Matrix Statistics

In laurieKell/FLCandy: Candidate methods for FLR

Confusion Matrix Statistics

Description

Calculates True Positive (TP), True Negative (TN), False Positive (FP), and False Negative (FN) counts from predicted and actual values

Usage

PN(object, y)

## S4 method for signature 'numeric,numeric'
PN(object, y)

Arguments

y	Numeric vector of actual values
x	Numeric vector of predicted values

Value

A data frame containing TP, TN, FP, and FN counts

Examples

## Not run: 
pred <- c(1, -1, 1, -1)
actual <- c(1, -1, -1, 1)
confusion_stats <- PN(pred, actual)

## End(Not run)

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