REEMtree.object {REEMtree}R Documentation

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 rsela@stern.nyu.edu

References

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

See Also

rpart, nlme, REEMtree

Examples

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

[Package REEMtree version 0.81 Index]