Package: acca 0.2

livio finos

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.

Authors:Livio Finos

acca_0.2.tar.gz
acca_0.2.tar.gz(r-4.7-any)acca_0.2.tar.gz(r-4.6-any)
acca_0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
acca/json (API)

# Install 'acca' in R:
install.packages('acca', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 295 downloads 3 exports 19 dependencies

Last updated from:ead6266ce1. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK120
source / vignettesOK148
linux-release-x86_64OK116
wasm-releaseOK99

Exports:cccc_inferenceccbiplot

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleplyrR6RColorBrewerRcpprlangS7scalesvctrsviridisLitewithr