This function computes the AIC (Aikake's, an information criterion) from a
Optionally, more fitted objects.
A numeric, the penalty per parameter to be used; the default k = 2 is the classical AIC (i.e.
The AIC is computed as:
AIC = -2\times LogLikelihood + k\times nbParams
with k the penalty parameter.
You can have more information on this criterion on
It return a numeric vector, with length the same as the number of objects taken as arguments.
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