Log-likelihood of a RE-EM tree

Description

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

Value

the log-likelihood of the fitted effects model associated with x

Author(s)

Rebecca Sela rsela@stern.nyu.edu

References

Sela, Rebecca J., and Simonoff, Jeffrey S., “RE-EM Trees: A Data Mining Approach for Longitudinal and Clustered Data”, Machine Learning (2011).

See Also

REEMtree.object

Examples

data(simpleREEMdata)
REEMresult<-REEMtree(Y~D+t+X, data=simpleREEMdata, random=~1|ID)
logLik(REEMresult)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(REEMtree)
Loading required package: nlme
Loading required package: rpart
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/REEMtree/logLik.Rd_%03d_medium.png", width=480, height=480)
> ### Name: logLik
> ### Title: Log-likelihood of a RE-EM tree
> ### Aliases: logLik.REEMtree
> ### Keywords: models tree
> 
> ### ** Examples
> 
> data(simpleREEMdata)
> REEMresult<-REEMtree(Y~D+t+X, data=simpleREEMdata, random=~1|ID)
> logLik(REEMresult)
'log Lik.' -914.1224 (df=6)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>