R: Kendall correlation and trend tests.

Kendall-package {Kendall} | R Documentation

## Kendall correlation and trend tests.

### Description

Compute Kendall's rank correlation and various trend tests.

### Details

Package: | Kendall
Type: | Package
Version: | 2.2
Date: | 2011-05-16
License: | GPL (>= 2)
LazyLoad: | yes

If you just want to compute Kendall's tau or its signficance level, the base function `cor` and `cor.test` are recommended. The purpose of this package is to implement the Mann-Kendall test, the seasonal Mann-Kendall trend test as well as computing the Kendall score. See documentation for Mann-Kendall on using the block bootstrap to deal with autocorrelation.

### Author(s)

A. I. McLeod

Maintainer: aimcleod@uwo.ca

### References

Hipel, K.W. and McLeod, A.I., (1994). Time Series Modelling of Water Resources and Environmental Systems.

### See Also

`cor`, `cor.test`, `print.Kendall`, `summary.Kendall`, `MannKendall`, `SeasonalMannKendall`

### Examples

    library(boot)
    data(PrecipGL)
    MKtau<-function(z) MannKendall(z)$tau
    tsboot(PrecipGL, MKtau, R=500, l=5, sim="fixed")

[Package Kendall version 2.2 Index]