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

REEMtree.object {REEMtree}

R Documentation

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

Object representing a fitted REEMtree.

`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
`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`
`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

Sela, Rebecca J., and Simonoff, Jeffrey S., “RE-EM Trees: A New Data Mining Approach for Longitudinal Data”.

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

[Package REEMtree version 1.0 Index]