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-4.5-noble)acca_0.2.tar.gz(r-4.4-noble)
acca_0.2.tgz(r-4.4-emscripten)acca_0.2.tgz(r-4.3-emscripten)
acca.pdf |acca.html
acca/json (API)

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

Peer review:

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

1.00 score 345 downloads 3 exports 30 dependencies

Last updated 3 years agofrom:ead6266ce1. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 28 2024
R-4.5-linuxOKNov 28 2024

Exports:cccc_inferenceccbiplot

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr