AIC.logLik {nlme} | R Documentation |
This function calculates the Akaike information criterion for
an object inheriting from class logLik
, according to the formula
2*log-likelihood + 2*npar, where
npar represents the number of parameters in the fitted
model. When comparing fitted objects, the smaller the AIC, the better
the fit.
AIC(object)
object |
an object inheriting from class logLik , usually
resulting from applying a logLik method to a fitted model
object. |
a numeric value with the corresponding AIC.
Jose Pinheiro and Douglas Bates
Sakamoto, Y., Ishiguro, M., and Kitagawa G. (1986) "Akaike Information Criterion Statistics", D. Reidel Publishing Company.
library(nlme) data(Orthodont) fm1 <- lm(distance ~ age, data = Orthodont) AIC(logLik(fm1))