Weighted conditional Kendall's tau

This is function computes the perturbed version of the conditional Kendall's tau.

wKendall(trun, obs, delta = NULL, weights = NULL)

Arguments

trun	left truncation time satisfying trun <= obs.
obs	observed failure time, must be the same length as trun, might be right-censored.
delta	an optional 0-1 vector of censoring indicator (0 = censored, 1 = event) for obs. If this vector is not specified, cKendall assumes no censoring and all observed failure time denote events.
weights	an optional perturbation weights.

Examples

data(channing, package = "boot")
chan <- subset(channing, sex == "Male" & entry < exit)
## When weights is not specified, this function reduces to condKendall()
with(chan, wKendall(entry, exit, cens))
#> [1] 0.1966783
mean(replicate(1000, with(chan, wKendall(entry, exit, cens, rexp(nrow(chan))))))
#> [1] 0.1925768