acca: A Canonical Correlation Analysis with Inferential Guaranties (original) (raw)
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 |
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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 |
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