BIC,rateReg-method is an S4 class method calculating
Bayesian information criterion (BIC) or so-called
Schwarz's Bayesian criterion (SBC)
for one or several
according to the formula
- 2 * log-likelihood + ln(nObs) * nPar,
where nPar represents the number of parameters in the fitted model
and nObs is the number of observations.
An object used to dispatch a method.
Optionally more fitted model objects.
When comparing models fitted by maximum likelihood to the same
data, the smaller the BIC, the better the fit.
help(BIC, stats) for other details.
If just one object is provided, a numeric value representing
If multiple objects are provided, a data frame with rows
corresponding to the objects and columns
df means degree of freedom,
which is the number of parameters in the fitted model.
## See examples given in function rateReg.
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