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wideRhino  

High-Dimensional Methods via Generalised Singular Decomposition
View on CRAN: Click here


Download and install wideRhino package within the R console
Install from CRAN:
install.packages("wideRhino")

Install from Github:
library("remotes")
install_github("cran/wideRhino")

Install by package version:
library("remotes")
install_version("wideRhino", "1.3.0")



Attach the package and use:
library("wideRhino")
Maintained by
Raeesa Ganey
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-06-11
Latest Update: 2025-06-11
Description:
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 biplots, see Gower JC, Lubbe SG, Le Roux NJ (2011) <doi:10.1002/9780470973196> and for more information on the generalised singular value decomposition, see Edelman A, Wang Y (2020) <doi:10.1137/18M1234412>.
How to cite:
Raeesa Ganey (2025). wideRhino: High-Dimensional Methods via Generalised Singular Decomposition. R package version 1.3.0, https://cran.r-project.org/web/packages/wideRhino. Accessed 04 Oct. 2026.
Previous versions and publish date:
(2026-09-03 16:50), 1.0.2 (2025-06-11 17:10), 1.2.0 (2026-07-02 12:30)
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Complete documentation for wideRhino
Functions, R codes and Examples using the wideRhino R package
Full wideRhino package functions and examples
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