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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.
Getting started
Browse package contents
Package details |
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| Author | Livio Finos |
| Maintainer | livio finos <livio.finos@unipd.it> |
| License | GPL (>= 2) |
| Version | 0.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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