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ccaPP: (Robust) Canonical Correlation Analysis via Projection Pursuit

Canonical correlation analysis and maximum correlation via projection pursuit, as well as fast implementations of correlation estimators, with a focus on robust and non-parametric methods.

Installation

Package ccaPP is on CRAN (The Comprehensive R Archive Network), hence the latest release can be easily installed from the R command line via

install.packages("ccaPP")

Report issues and request features

If you experience any bugs or issues or if you have any suggestions for additional features, please submit an issue via the Issues tab of this repository. Please have a look at existing issues first to see if your problem or feature request has already been discussed.

Contribute to the package

If you want to contribute to the package, you can fork this repository and create a pull request after implementing the desired functionality.

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Version

Install

install.packages('ccaPP')

Monthly Downloads

3,630

Version

0.3.6

License

GPL (>= 2)

Issues

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Maintainer

Andreas Alfons

Last Published

July 9th, 2026

Functions in ccaPP (0.3.6)

fastMAD

Fast implementation of the median absolute deviation
diabetes

Diabetes data
maxCorGrid

(Robust) maximum correlation via alternating series of grid searches
ccaPP-package

tools:::Rd_package_title("ccaPP")
ccaProj

(Robust) CCA via projections through the data points
corFunctions

Fast implementations of (robust) correlation estimators
permTest

(Robust) permutation test for no association
ccaGrid

(Robust) CCA via alternating series of grid searches
fastMedian

Fast implementation of the median
maxCorProj

(Robust) maximum correlation via projections through the data points