Methods to calculate information criteria for
SVC_mle objects. Currently, two are supported: the conditional
Akaike's Information Criteria cAIC = -2*log-likelihood + 2*(edof + df)
and the Bayesian Information Criteria BIC = -2*log-likelihood + log(n) * npar.
Note that the Akaike's Information Criteria is of the corrected form, that
is: edof is the effective degrees of freedom which is derived as the
trace of the hat matrices and df is the degree of freedoms with respect to
## S3 method for class 'SVC_mle' BIC(object, ...) ## S3 method for class 'SVC_mle' AIC(object, conditional = "BW", ...)
numeric, value of information criteria
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