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-4.4-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'))

Peer review:

Datasets:

On CRAN:

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

4.03 score 4 packages 320 scripts 2.8k downloads 11 exports 52 dependencies

Last updated 1 years agofrom:969734bb9d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-winOKOct 29 2024
R-4.5-linuxOKOct 29 2024
R-4.4-winOKOct 29 2024
R-4.4-macOKOct 29 2024
R-4.3-winOKOct 29 2024
R-4.3-macOKOct 29 2024

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

Dependencies:ashbitopscliclustercolorspacedeSolvedotCall64fansifarverfdafdsfieldsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrmapsMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRCurlrlangscalesspamtibbleutf8vctrsviridisLitewithr