AIC.evmOpt: Akaike's Information Criterion

Description

Compute AIC for evmOpt objects

Usage

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## S3 method for class 'evmOpt'
AIC(object, penalized = FALSE, ..., k = 2)

Arguments

object

fit model object

penalized

whether to use the penalized log-likelihood

...

other arguments currently ignored

k

numeric, the penalty per parameter to be used; the default k = 2 is the classical AIC.

Value

the AIC

See Also

AIC


Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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