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##Use data cleaned version of the colon cancer data from the rstpm2 package
data("colonDC")
set.seed(2)
colonDC <- colonDC[sample(1:nrow(colonDC), 1000), ]
##Extract general population hazards
colonDC$bhaz <- general.haz(time = "FU", rmap = list(age = "agedays", sex = "sex", year= "dx"),
data = colonDC, ratetable = survexp.dk)
##Fit flexible parametric relative survival model
fit <- stpm2(Surv(FUyear, status) ~ 1, data = colonDC, df = 6, bhazard = colonDC$bhaz)
##Compute survival probabilities from 0 to 20 years
pred <- lts(fit, rmap = list(age = agedays, sex = sex, year = dx))
##Plot the survival function
plot(pred)
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