print: Print a RE-EM Tree object
In REEMtree: Regression Trees with Random Effects for Longitudinal (Panel) Data

Description Usage Arguments Details Side Effects Author(s) References See Also Examples

This function prints a description of a fitted RE-EM tree object.

1 2	## S3 method for class 'REEMtree' print(x,...)

`x`	fitted model of class `REEMtree`
`...`	further arguments passed to or from other methods

This function is a method for the generic function print for class REEMtree. It can be invoked by calling print for an object of class REEMtree, or by calling print.REEMtree directly for an object of the corresponding type.

Prints representations of the regression tree and the random effects model that comprise a RE-EM tree.

Rebecca Sela rsela@stern.nyu.edu

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

print.rpart, REEMtree.object

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

Loading required package: nlme
Loading required package: rpart
[1] "*** RE-EM Tree ***"
n= 600 

node), split, n, deviance, yval
      * denotes terminal node

1) root 600 1092.91700  1.3639420  
  2) D< 0.5 300  339.28840  0.5006719  
    4) X>=0.2503819 89   62.24319 -0.3697058 *
    5) X< 0.2503819 211  181.18360  0.8677981 *
  3) D>=0.5 300  306.48750  2.2272130  
    6) t< 5.5 125  111.18930  1.6862250 *
    7) t>=5.5 175  132.58370  2.6136330 *
[1] "Estimated covariance matrix of random effects:"
            (Intercept)
(Intercept)    3.660086
[1] "Estimated variance of errors: 0.88750827156022"
[1] "Log likelihood:  -914.122394149391"