mets (version 1.2.3.1)

divide.conquer.timereg: Split a data set and run function from timereg and aggregate

Description

Split a data set and run function of cox-aalen type and aggregate results

Usage

divide.conquer.timereg(func = NULL, data, size, ...)

Arguments

func

called function

data

data-frame

size

size of splits

...

Additional arguments to lower level functions

Examples

# NOT RUN {
library(timereg)
data(TRACE)
a <- divide.conquer.timereg(prop.odds,TRACE,
                            formula=Event(time,status==9)~chf+vf+age,n.sim=0,size=200)
coef(a)
a2 <- divide.conquer.timereg(prop.odds,TRACE,
                             formula=Event(time,status==9)~chf+vf+age,n.sim=0,size=500)
coef(a2)

if (interactive()) {
par(mfrow=c(1,1))
plot(a,xlim=c(0,8),ylim=c(0,0.01))
par(new=TRUE)
plot(a2,xlim=c(0,8),ylim=c(0,0.01))
}
# }