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: 0.1
Imports: methods, stats, ggplot2, plyr
Published: 2022-01-13
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_0.1.tar.gz
Windows binaries: r-devel: acca_0.1.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): acca_0.1.tgz, r-release (x86_64): acca_0.1.tgz, r-oldrel: not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=acca to link to this page.