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Bias and accuracy factors

Source: R/omnibus.R
bias_factor.Rd

bias_factor() and accuracy_factor() calculate the multiplicative model bias and accuracy factors commonly used in predictive microbiology model validation.

Usage

bias_factor(observed, predicted)

accuracy_factor(observed, predicted)

Arguments

observed, predicted

Numeric vectors. Values must be positive.

Value

A numeric scalar.

Examples

observed <- c(7.0, 6.0, 5.0)
predicted <- c(7.1, 5.9, 5.2)
bias_factor(observed, predicted)
#> [1] 1.012274
accuracy_factor(observed, predicted)
#> [1] 1.02368