Revision 2b3a85a87089d85cfbcc67cac5d6778f94719b8d authored by Roger Koenker on 15 July 2019, 13:00:03 UTC, committed by cran-robot on 15 July 2019, 13:00:03 UTC
1 parent 5071707
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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