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

In mets: Analysis of Multivariate Event Times

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

Author(s)

Thomas Scheike, Klaus K. Holst

Examples

library(timereg)
data(TRACE)

a <- divide.conquer.timereg(prop.odds,TRACE,
	     formula=Surv(time,status==9)~chf+vf+age,n.sim=0,size=200)
coef(a)
a2 <- divide.conquer.timereg(prop.odds,TRACE,
	     formula=Surv(time,status==9)~chf+vf+age,n.sim=0,size=500)
coef(a2)
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))

mets documentation built on May 2, 2019, 4:43 p.m.