This returns the log-likelihood of the effects model of a RE-EM tree. This is the log-likelihood of the random effects model estimated in the RE-EM tree. (The regression tree is not associated with a log-likelihood.)
Usage
logLik.REEMtree(object,...)
Arguments
object
an object of class REEMtree
...
further arguments passed to or from other methods
Value
the log-likelihood of the fitted effects model associated with x
References
Sela, Rebecca J., and Simonoff, Jeffrey S., RE-EM Trees: A Data Mining Approach for Longitudinal and Clustered Data, Machine Learning (2011).