| 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 2.2.1 Index]