wKendall: Weighted conditional Kendall's tau
In tranSurv: Transformation-Based Regression under Dependent Truncation

wKendall

R Documentation

Weighted conditional Kendall's tau

Description

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

Usage

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.

Value

A numeric value representing the weighted conditional Kendall's tau.

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))
mean(replicate(1000, with(chan, wKendall(entry, exit, cens, rexp(nrow(chan))))))

tranSurv documentation built on June 8, 2025, 11:47 a.m.