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acca: A Canonical Correlation Analysis with Inferential Guaranties

It performs Canonical Correlation Analysis and provides inferential guaranties on the correlation components. The p-values are computed following the resampling method developed in Winkler, A. M., Renaud, O., Smith, S. M., & Nichols, T. E. (2020). Permutation inference for canonical correlation analysis. NeuroImage, <doi:10.1016/j.neuroimage.2020.117065>. Furthermore, it provides plotting tools to visualize the results.

Version: 0.2
Imports: methods, stats, ggplot2, plyr
Published: 2022-01-28
DOI: 10.32614/CRAN.package.acca
Author: Livio Finos
Maintainer: livio finos <livio.finos at unipd.it>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: acca results

Documentation:

Reference manual: acca.pdf

Downloads:

Package source: acca_0.2.tar.gz
Windows binaries: r-devel: acca_0.2.zip, r-release: acca_0.2.zip, r-oldrel: acca_0.2.zip
macOS binaries: r-release (arm64): acca_0.2.tgz, r-oldrel (arm64): acca_0.2.tgz, r-release (x86_64): acca_0.2.tgz, r-oldrel (x86_64): acca_0.2.tgz
Old sources: acca archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.