A method to calculate the Bayesian information criterion (BIC), also known
as Schwarz's Bayesian criterion of an FLModel object from the value
of the obtained log-likelihood stored in its logLik
slot.
Arguments
- object
a fitted FLModel object for which there exists a 'logLik' method to extract the corresponding log-likelihood.
Examples
data(nsher)
BIC(nsher)
#> [1] -24.11118