Revision 50717074f4f077d9d345caf3f6ba6dc7a025fd79 authored by Roger Koenker on 28 June 2019, 14:00:07 UTC, committed by cran-robot on 28 June 2019, 14:00:07 UTC
1 parent d55e8b3
KMvCRQ.R
# Example Comparison of Kaplan-Meier vs crq fitting
# The red crq estimate should overplot the black KM Survival Curve.
if (requireNamespace("survival", quietly = TRUE)){
n <- 100
y <- rchisq(n,3)
c <- rchisq(n,5)
Y <- pmin(y,c)
d <- (y < c)
Surv <- survival::Surv
plot(survival::survfit(Surv(Y,d)~1))
f <- crq(Surv(Y,d)~1, method = "Portnoy", grid = "pivot")
x <- f$sol[2,]
p <- 1-f$sol[1,]
p <- c(p,p[length(p)])
par(col = "red")
fs <- plot(stepfun(x, p),do.points = FALSE, add = TRUE)
}
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