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-4.7-any)CCA_1.2.2.zip(r-4.6-any)CCA_1.2.2.zip(r-4.5-any)
CCA_1.2.2.tgz(r-4.6-any)CCA_1.2.2.tgz(r-4.5-any)
CCA_1.2.2.tar.gz(r-4.7-any)CCA_1.2.2.tar.gz(r-4.6-any)
CCA_1.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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.

4.80 score 2 packages 555 scripts 1.9k downloads 449 mentions 11 exports 47 dependencies

Last updated from:969734bb9d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK151
source / vignettesOK267
linux-releaseOK163
macos-releaseOK123
macos-oldrelOK132
windows-develOK97
windows-releaseOK81
windows-oldrelOK106
wasm-releaseOK108

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

Dependencies:ashbitopscliclustercolorspacecpp11deSolvedotCall64farverfdafdsfieldsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmapsMASSMatrixmclustmgcvmulticoolmvtnormnlmepcaPPpracmaR6rainbowRColorBrewerRcppRCurlrlangS7scalesspamvctrsviridisLitewithr