kendall: Kendall's tau

In tranSurv: Transformation-Based Regression under Dependent Truncation

Kendall's tau

Description

Computes the unconditional Kendall's tau

Usage

kendall(x, y = NULL)

Arguments

x	a numeric vector.
y	a numeric vector with compatible length to x.

Details

This function computes the unconditional Kendall's tau (the Kendall rank correlation coefficient) for two variables. The returned value is equivalent to that from cor with method = "kendall", but kendall is implemented in C.

Value

The output is a numeric value for the unconditional Kendall's tau.

A numeric value representing the unconditional Kendall's tau.

References

Kendall, M. G. (1938), A new measure of rank correlation, Biometrika, 81–93.

See Also

cor

Examples

library(MASS)
set.seed(1)
dat <- mvrnorm(5000, c(0, 0), matrix(c(1, .5, .5, 1), 2))
## True kendall's tau is 2 * asin(.5) / pi
system.time(print(kendall(dat)))
system.time(print(cor(dat, method = "kendall")))

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