R: Bayesian Information Criterion

BIC {flexmix}

R Documentation

Bayesian Information Criterion

Description

This 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*log-likelihood + npar*log(nobs), where npar represents the number of parameters and nobs the number of observations in the fitted model.

Usage

BIC(object, ...)

Arguments

`object`	An object of a suitable class for the BIC to be calculated - usually a `logLik` object created by a call to the `logLik` generic.
`...`	Some methods for this generic function may take additional, optional arguments. At present none do.

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.

Author(s)

Function copied from package lme4 by Douglas Bates and Saikat DebRoy

References

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