confusion.matrix.positive.likelihood.ratio.simple: Confusion Matrix Measures - Positive Likelihood Ratio
In burrm/lolcat: Miscellaneous Useful Functions

View source: R/confusion.matrix.positive.likelihood.ratio.simple.R

confusion.matrix.positive.likelihood.ratio

R Documentation

Confusion Matrix Measures - Positive Likelihood Ratio

Description

Calculate Positive Likelihood Ratio, defined as TPR/FPR, for a given confusion matrix.

Usage

confusion.matrix.positive.likelihood.ratio(confusion.matrix)

confusion.matrix.positive.likelihood.ratio.simple(
  true.positive = 0,
  false.negative = 1,
  count.positive = true.positive + false.negative,
  false.positive = 0,
  true.negative = 1,
  count.negative = false.positive + true.negative,
  true.positive.rate = confusion.matrix.true.positive.rate.simple(true.positive =
    true.positive, count.positive = count.positive),
  false.positive.rate = confusion.matrix.false.positive.rate.simple(false.positive =
    false.positive, count.negative = count.negative)
)

Arguments

`confusion.matrix`	Matrix - confusion matrix.
`true.positive`	Scalar - Cases identified as true positive - optional if TPR specified
`false.negative`	Scalar - Cases identified as false negative - optional if TPR specified
`count.positive`	Scalar - Total cases identified as positive - optional if TPR specified.
`false.positive`	Scalar - Cases identified as false positive - optional if FPR specified
`true.negative`	Scalar - Cases identified as true negative - optional if FPR specified
`count.negative`	Scalar - Total cases identified as negative - optional if FPR specified.
`true.positive.rate`	Scalar - True Positive Rate (TPR) - optional if TPR parameters specified.
`false.positive.rate`	Scalar - False Positive Rate (FPR) - optional if FPR parameters specified.