copula.multicorrelation.test: independence tests using the copula versions of distance...
In multivariance: Measuring Multivariate Dependence Using Distance Multivariance
Description
Usage
Arguments
References
View source: R/multivariance-functions.R
Description
Formally it is nothing but tests for distance multivariance applied to the Monte Carlo emprical transform of the data. Hence its values vary for repeated runs.
Usage
1
copula.multicorrelation.test(x, vec = 1:ncol(x), ...)
Arguments
x
matrix, each row is a sample
vec
vector which indicates which columns are treated as one sample
...
these are passed to cdm
References
For the theoretic background see the reference [5] given on the main help page of this package: multivariance-package.
multivariance documentation built on Oct. 6, 2021, 5:08 p.m.
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.
Description Usage Arguments References
View source: R/multivariance-functions.R
Description
Formally it is nothing but tests for distance multivariance applied to the Monte Carlo emprical transform of the data. Hence its values vary for repeated runs.
Usage
1 | copula.multicorrelation.test(x, vec = 1:ncol(x), ...)
|
Arguments
x |
matrix, each row is a sample |
vec |
vector which indicates which columns are treated as one sample |
... |
these are passed to |
References
For the theoretic background see the reference [5] given on the main help page of this package: multivariance-package.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.