sbpiper (version 1.9.0)

compute_aic: Compute the Akaike Information Criterion. Assuming additive Gaussian measurement noise of width 1, the term -2ln(L(theta|y)) ~ SSR ~ Chi^2

Description

Compute the Akaike Information Criterion. Assuming additive Gaussian measurement noise of width 1, the term -2ln(L(theta|y)) ~ SSR ~ Chi^2

Usage

compute_aic(chi2 = 0, params = 0)

Arguments

chi2

the Chi^2 for the model

params

the number of model parameters

Value

the AIC

Examples

# NOT RUN {
compute_aic(chi2=10, params=5)
# }