BIC {qpcR}R Documentation

Bayesian Information Criterion

Description

Calculates the Bayesian Information Criterion for objects of class drc, lm, glm, nls or any other models from which logLik, coef and residuals can be extracted.

Usage

BIC(object)

Arguments

object a fitted model.

Details

BIC = - 2 * logLik(object) + npar * log(nobs)

with npar = number of parameters, nobs = number of observations.

Value

The BIC value.

Author(s)

Andrej-Nikolai Spiess

References

Schwartz GE (1978).
Estimating the dimension of a model.
Annals of Statistics, 6: 461-464.

See Also

AIC, logLik.

Examples

m <- pcrfit(reps, 1, 2, l5)
BIC(m)

[Package qpcR version 1.2-4 Index]