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 extacted.
Usage
BIC(object)
Arguments
object
a fitted model.
Value
The BIC value.
Details
$$BIC = - 2 * logLik(object) + npar * log(nobs)$$
with npar = number of parameters, nobs = number of observations.
References
Schwartz GE (1978).
Estimating the dimension of a model.
Annals of Statistics, 6: 461-464.