AIC {depmixS4} | R Documentation |
Compute AIC and BIC for depmix
and mix
objects.
AIC(object, ..., k = 2) BIC(object, ...)
object |
A depmix or mix model. |
... |
Not used currently. |
k |
The penalty factor which defaults to 2. |
The n
that is used in the BIC is sum(ntimes(object))
, where
object is the model under consideration.
The value of the AIC or BIC respectively.
Ingmar Visser
H. Akaike. Information theory and an extension of the maximum likelihood principle. In B. N. Petrov and F. Csaki, editors, Second International Symposium on Information Theory, p. 267-281. Budapest: Academiai Kiado, 1973.
G. Schwarz. Estimating the dimension of a model. Annals of Statistics, volume 6, p. 4761-464, 1978.