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
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

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