Package: wideRhino 1.2.0

wideRhino: High-Dimensional Methods via Generalised Singular Decomposition

Construct a Canonical Variate Analysis Biplot via the Generalised Singular Value Decomposition, for cases when the number of samples is less than the number of variables. For more information on these biplots, see Ganey, R., & Gardner-Lubbe, S. (2026) <doi:10.1007/s10260-025-00831-y>.

Authors:Raeesa Ganey [aut, cre]

wideRhino_1.2.0.tar.gz
wideRhino_1.2.0.zip(r-4.7)wideRhino_1.2.0.zip(r-4.6)wideRhino_1.2.0.zip(r-4.5)
wideRhino_1.2.0.tgz(r-4.6-any)wideRhino_1.2.0.tgz(r-4.5-any)
wideRhino_1.2.0.tar.gz(r-4.7-any)wideRhino_1.2.0.tar.gz(r-4.6-any)
wideRhino_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
wideRhino/json (API)

# Install 'wideRhino' in R:
install.packages('wideRhino', repos = c('https://raeesaganey91.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/raeesaganey91/widerhino/issues

Datasets:

On CRAN:

Conda:

2.70 score 1 stars 3 scripts 205 downloads 3 exports 28 dependencies

Last updated from:cb3bdf17f9. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE172
source / vignettesOK208
linux-release-x86_64NOTE126
macos-release-arm64NOTE118
macos-oldrel-arm64NOTE86
windows-develNOTE69
windows-releaseNOTE77
windows-oldrelNOTE67
wasm-releaseOK109

Exports:CVAbiplotCVAgsvdget.GSVD

Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixpillarpkgconfigR6RColorBrewerrlangS7scalestibbletidyselectutf8vctrsviridisLitewithr