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Calculate Akaike Information Criterion (AIC)

myAIC.Rd

This function calculates the Akaike Information Criterion (AIC) for a given model.

Usage

myAIC(LL, nparam)

Arguments

LL

Numeric value representing the log-likelihood of the model.

nparam

Numeric value representing the number of parameters in the model.

Value

Numeric value representing the AIC.

Details

The AIC is calculated using the formula: $$AIC = -2 \cdot LL + 2 \cdot nparam$$ Where \(LL\) is the log-likelihood of the model and \(nparam\) is the number of parameters.

Examples

LL <- -120.5
nparam <- 5
myAIC(LL, nparam)
#> [1] 251