Package: wideRhino 1.3.0

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_1.3.0.tar.gz
wideRhino_1.3.0.zip(r-4.7-any)wideRhino_1.3.0.zip(r-4.6-any)wideRhino_1.3.0.zip(r-4.5-any)
wideRhino_1.3.0.tgz(r-4.6-any)wideRhino_1.3.0.tgz(r-4.5-any)
wideRhino_1.3.0.tar.gz(r-4.7-any)wideRhino_1.3.0.tar.gz(r-4.6-any)
wideRhino_1.3.0.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:

3.18 score 1 stars 3 scripts 249 downloads 3 exports 28 dependencies

Last updated from:0e160e13eb. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK133
source / vignettesOK166
linux-releaseOK129
macos-releaseOK169
macos-oldrelOK158
windows-develOK71
windows-releaseOK67
windows-oldrelOK68
wasm-releaseOK107

Exports:CVAbiplotCVAgsvdget.GSVD

Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixpillarpkgconfigR6RColorBrewerrlangS7scalestibbletidyselectutf8vctrsviridisLitewithr