[R] plotting the cumulative hazard function of a process whose intensity function is specified

[Elodie Gillain]

I would like to simulate a stochastic process by specifying an intensity 
function, say 
lambda(t)=0.05 + 3  exp(−t)


I have the following code, but it has a number of problems. One issue I have is 
I do not know where the time variable is. I would appreciate your help with 
this code.



library("survival")
n <- 5000
lamc<-0.08
k1<-0.05
k2<-3
ld<-function(t){k1+k2}
l<-function(t){k1+k2*exp(-t)}
gendata<-function(n,lamc,k1,k2)
  {
re<-rexp(5*n)/(k1+k2)
ru<-runif(5*n)
y<-rep(0,n)
k<-1
    for (i in 1:n){
      u<-re[k]
    } 
    while (ru[k] <l(u)/ld(u)){
        k<-k+1
        u<-u+re[k]
        y[i]<-u
        k<-k+1
        }
cen<-rexp(n,rate=lamc)
}


obj<-Surv(floor(pmin(y,cen)),ifelse(y<-cen,1,0))
u<-gendata(n,lamc,k1,k2)
lsurv2<-survfit(Surv(floor(pmin(y,cen)) ~ x, data = u)
plot(lsurv2,fun='cumhaz',xlab='temps',ylab='has',noconf)




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