Bayesian Information Criterion for a SIR Model — BIC.sir • sir

Computes BIC = -2 * log-likelihood + log(nobs) * (number of parameters). BIC penalizes model complexity more heavily than AIC for large samples.

Usage

# S3 method for class 'sir'
BIC(object, ...)

Arguments

object: A fitted sir object from sir.
...: Additional arguments for comparison with other models.

Value

Numeric BIC value. Lower is better.