REEMtree.object {REEMtree}

Random Effects/Expectation Maximization (RE-EM) Tree Object

Description

Object representing a fitted REEMtree.

Value

Tree

Fitted rpart tree associated with the fitted RE-EM tree

EffectModel

fitted lme object associated with the fitted RE-EM tree

RandomEffects

vector of estimated random effects

BetweenMatrix

estimated variance of the random effects

ErrorVariance

estimated variance of the errors

data

the data frame used to estimate the RE-EM tree

logLik

log likelihood of the linear model for the random effects

IterationsUsed

number of iterations required to fit the REEMtree

Formula

formula used in fitting the REEMtree

Random

description of the random effects used in fitting the REEMtree

Groups

the vector of group identifiers used in estimation

Subset

the logical vector indicating the subset of the rows of data used in the fit

ErrorTolerance

the error tolerance used in estimation

correlation

the correlation structure used in fitting the linear model

residuals

estimated residuals

method

method (ML or REML) used in estimating the linear random effects model

lme.control

parameters used to control fitting the linear random effects mdoel

tree.control

parameters used to control fitting the regression tree

Author(s)

Rebecca Sela [e-mail]

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

rpart, nlme, REEMtree

Examples

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