kendalltau: Kendall's tau measure of association.
In tensr: Covariance Inference and Decompositions for Tensor Datasets
Description
Usage
Arguments
Value
Author(s)
Examples
Description
This function provides a Monte Carlo approximation to Kendall's tau
measure of association.
Usage
1
kendalltau(x, y, nmc = 1e+05)
Arguments
x
a vector.
y
a vector.
nmc
an integer number of Monte Carlo simulations.
Value
A Monte Carlo approximation to Kendall's tau measure of
association.
Author(s)
Peter Hoff.
Examples
1
2
mu <- rexp(30)
tensr:::kendalltau(rpois(30, mu), rpois(30, mu))
tensr documentation built on May 2, 2019, 2:32 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
This function provides a Monte Carlo approximation to Kendall's tau measure of association.
Usage
1 | kendalltau(x, y, nmc = 1e+05)
|
Arguments
x |
a vector. |
y |
a vector. |
nmc |
an integer number of Monte Carlo simulations. |
Value
A Monte Carlo approximation to Kendall's tau measure of association.
Author(s)
Peter Hoff.
Examples
1 2 | mu <- rexp(30)
tensr:::kendalltau(rpois(30, mu), rpois(30, mu))
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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