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 rateReg objects,
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.
Usage
# S4 method for rateReg
BIC(object, ...)Value
If just one object is provided, a numeric value representing
calculated BIC.
If multiple objects are provided, a data frame with rows
corresponding to the objects and columns df and BIC,
where df means degree of freedom,
which is the number of parameters in the fitted model.
Details
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.
See also
rateReg for model fitting;
summary,rateReg-method for summary of a fitted model;
AIC,rateReg-method for AIC.