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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:ead6266ce1. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 29 2024 |
| R-4.5-linux | OK | Oct 29 2024 |
Exports:cccc_inferenceccbiplot
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| A Canonical Correlation Analysis with Inferential Guaranties | acca-package |
| Methods for acca objects | acca-method print.acca summary.acca |
| cc | cc |
| cc_inference | cc_inference |
| ccbiplot | ccbiplot |