CCP: Significance Tests for Canonical Correlation Analysis
In CCP: Significance Tests for Canonical Correlation Analysis (CCA)
CCP-package R Documentation
Significance Tests for Canonical Correlation Analysis
Description
The package provides functions to test for statistical significance
of canonical correlation coefficients, including asymptotic methods
and a Monte Carlo approach.
Additionally, functions are available to plot the asymptotic distributions
and the permutation distribution, respectively.
The main user functions are p.asym, p.perm,
plt.asym, and plt.perm.
Author(s)
Uwe Menzel <uwemenzel@gmail.com>
CCP documentation built on April 22, 2022, 1:07 a.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.
| CCP-package | R Documentation |
Significance Tests for Canonical Correlation Analysis
Description
The package provides functions to test for statistical significance
of canonical correlation coefficients, including asymptotic methods
and a Monte Carlo approach.
Additionally, functions are available to plot the asymptotic distributions
and the permutation distribution, respectively.
The main user functions are p.asym, p.perm,
plt.asym, and plt.perm.
Author(s)
Uwe Menzel <uwemenzel@gmail.com>
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.