DStree: Fit a discrete-time survival tree

In DStree: Recursive Partitioning for Discrete-Time Survival Trees

Description

This function builds decision trees for discrete, right-censored survival data. The fitted tree estimates the hazard and survival probabilities for every terminal node, as well as the median survival time.

Usage

DStree(formula, status, data, control = control, weights = NULL)

Arguments

formula	a formula with response but no interaction terms. The response variable represents the observed survival times.
status	integer/string representing the column number/name of the 'status' variable in the data frame. 'status' must be a binary integer variable indicating whether the event occured (=1) or whether the event was censored/did not occur (=0).
data	data frame that contains all variables stated in the formula argument, as well as the 'status' variable.
control	a list of options that control the specification of the DStree algorithm. See DStree.control.
weights	a vector of optional case weights.

Value

An object of class DStree. For details see DStree.object.

References

Bou-Hamad I., Larocque D., Ben-Ameur H., Masse L. C., Vitaro F. and Tremblay R. E. (2009), Discrete-Time Survival Trees. Canadian Journal of Statistics 37 (1), 17-32.

Examples

##Build tree
fit<- DStree(spell~ui+age+tenure+logwage,status="censor1",data=UnempDur,control=list(cp=0))
plot(fit)

Example output

Loading required package: rpart
Loading required package: pec
Loading required package: prodlim
Loading required package: Ecdat
Loading required package: Ecfun

Attaching package: 'Ecfun'

The following object is masked from 'package:base':

    sign


Attaching package: 'Ecdat'

The following object is masked from 'package:datasets':

    Orange

Warning message:
labs do not fit even at cex 0.15, there may be some overplotting 

DStree documentation built on May 2, 2019, 3:37 p.m.