IC.SVC_mle  R Documentation 
Methods to calculate information criteria for
SVC_mle
objects. Currently, two are supported: the conditional
Akaike's Information Criteria cAIC = 2*loglikelihood + 2*(edof + df)
and the Bayesian Information Criteria BIC = 2*loglikelihood + 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
mean parameters.
## S3 method for class 'SVC_mle' BIC(object, ...) ## S3 method for class 'SVC_mle' AIC(object, conditional = "BW", ...)
object 

... 
further arguments 
conditional 
string. If 
numeric, value of information criteria
Jakob Dambon
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