Package: CCA 1.2.2

CCA: Canonical Correlation Analysis

Provides a set of functions that extend the 'cancor' function with new numerical and graphical outputs. It also include a regularized extension of the canonical correlation analysis to deal with datasets with more variables than observations.

Authors:Ignacio González, Sébastien Déjean

CCA_1.2.2.tar.gz
CCA_1.2.2.zip(r-4.5)CCA_1.2.2.zip(r-4.4)CCA_1.2.2.zip(r-4.3)
CCA_1.2.2.tgz(r-4.5-any)CCA_1.2.2.tgz(r-4.4-any)CCA_1.2.2.tgz(r-4.3-any)
CCA_1.2.2.tar.gz(r-4.5-noble)CCA_1.2.2.tar.gz(r-4.4-noble)
CCA_1.2.2.tgz(r-4.4-emscripten)CCA_1.2.2.tgz(r-4.3-emscripten)
CCA.pdf |CCA.html✨
CCA/json (API)

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

On CRAN:

Conda:

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

4.85 score 3 packages 334 scripts 2.3k downloads 449 mentions 11 exports 52 dependencies

Last updated 2 years agofrom:969734bb9d. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 28 2025
R-4.5-winOKMar 28 2025
R-4.5-macOKMar 28 2025
R-4.5-linuxOKMar 28 2025
R-4.4-winOKMar 28 2025
R-4.4-macOKMar 28 2025
R-4.4-linuxOKMar 28 2025
R-4.3-winOKMar 28 2025
R-4.3-macOKMar 28 2025

Exports:cccomputestim.regulimg.estim.regulimg.matcorloomatcorplt.ccplt.indivplt.varrcc

Dependencies:ashbitopscliclustercolorspacedeSolvedotCall64fansifarverfdafdsfieldsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrmapsMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRCurlrlangscalesspamtibbleutf8vctrsviridisLitewithr