BIC of a logLik Object

DESCRIPTION:

This function calculates the Bayesian information criterion, also known as Schwarz's Bayesian criterion (SBC) for an object inheriting from class logLik, according to the formula log-likelihood + npar*log(nobs), where npar represents the number of parameters and nobs the number of observations in the fitted model. When comparing fitted objects, the smaller the BIC, the better the fit.

USAGE:

BIC(object) 

REQUIRED ARGUMENTS:

object
an object inheriting from class logLik, usually resulting from applying a logLik method to a fitted model object.

VALUE:

a numeric value with the corresponding BIC.

REFERENCES:

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

SEE ALSO:

, ,

EXAMPLES:

fm1 <- lm(distance ~ age, data = Orthodont)  
BIC(logLik(fm1))