Package: multiCCA 0.1.0

multiCCA: Multiple Canonical Correlation Analysis (Kernel and Functional)

Implementation of kernel and functional multiple canonical correlation analysis.

Authors:Tomasz Gorecki [aut, cre]

multiCCA_0.1.0.tar.gz
multiCCA_0.1.0.zip(r-4.7)multiCCA_0.1.0.zip(r-4.6)multiCCA_0.1.0.zip(r-4.5)
multiCCA_0.1.0.tgz(r-4.6-any)multiCCA_0.1.0.tgz(r-4.5-any)
multiCCA_0.1.0.tar.gz(r-4.7-any)multiCCA_0.1.0.tar.gz(r-4.6-any)
multiCCA_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
multiCCA/json (API)

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

Bug tracker:https://github.com/halmaris/multicca/issues

On CRAN:

Conda:

2.70 score 161 downloads 7 exports 44 dependencies

Last updated from:ed1b2c6f95. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK156
source / vignettesOK158
linux-release-x86_64OK188
macos-release-arm64OK181
macos-oldrel-arm64OK141
windows-develOK101
windows-releaseOK91
windows-oldrelOK90
wasm-releaseOK110

Exports:hopkins_vs_componentsmcca_fitmcca_grid_searchmcca_pipelineplot_hopkins_curveplot_mcca_pairplot_mcca_scatter

Dependencies:ashbitopscliclustercolorspacecpp11deSolvefarverfdafdsFNNgeigenggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitMASSMatrixmclustmgcvmulticoolmvtnormnlmepcaPPpracmaR6rainbowRColorBrewerRcppRCurlrlangS7scalesvctrsviridisLitewithr