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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.html ,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:

Please use the canonical formhttps://CRAN.R-project.org/package=accato link to this page.


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