Description Usage Arguments Value Examples
Compute the Akaike Information Criterion. Assuming additive Gaussian measurement noise of width 1, the term -2ln(L(theta|y)) ~ SSR ~ Chi^2
1 | compute_aic(chi2 = 0, params = 0)
|
chi2 |
the Chi^2 for the model |
params |
the number of model parameters |
the AIC
1 | compute_aic(chi2=10, params=5)
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