Schwarz information criterion

Schwarz information criterion

Usage

SIC(object, ...)

Arguments

object

a fitted model object for which there exists a logLik method to extract the corresponding log-likelihood, or an object inheriting from class logLik.

...

optionally more fitted model objects.

Value

The value of stats::BIC()

See also

stats::BIC(), stats::AIC()

Other penalty-functions: BMDL(), HQC(), MBIC(), MDL()

Examples

# The SIC is just the BIC
SIC(fit_meanvar(CET, tau = NULL))
#> [1] 788.9703
BIC(fit_meanvar(CET, tau = NULL))
#> [1] 788.9703