# BIC

by Doug
0th

Percentile

##### Bayesian Information Criterion

The BIC generic function calculates the Bayesian information criterion, also known as Schwarz's Bayesian criterion (SBC), for one or several fitted model objects for which a log-likelihood value can be obtained, according to the formula $-2 \mbox{log-likelihood} + n_{par} \log(n_{obs})$, where $n_{par}$ represents the number of parameters and $n_{obs}$ the number of observations in the fitted model.

Keywords
models
##### Value

• if just one object is provided, returns a numeric value with the corresponding BIC; if more than one object are provided, returns a data.frame with rows corresponding to the objects and columns representing the number of parameters in the model (df) and the BIC.

##### References

Schwarz, G. (1978) Estimating the Dimension of a Model, Annals of Statistics 6, 461--464.

BIC, logLik, AIC