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HVS  

Hypergraph Variable Selection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("HVS", "1.0.1")



Attach the package and use:
library("HVS")
Maintained by
Toby Kenney
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-14
Latest Update: 2026-07-14
Description:
Performs hypergraph-based setwise variable selection with false discovery rate control (Organ, Kenney & Gu, 2026, <doi:10.48550/arXiv.2606.20514>). The idea is, in addition to selecting individual predictors when there is sufficient evidence, to also test all pairs of predictors, and when there is insufficient evidence to be sure which is the true predictor, it will select possibly overlapping pairs, for which there is strong evidence that at least one is a true predictor. The method is designed to control a generalised false discovery rate, where discoveries are counted based on the number of independent sets. The function of this package is similar to the 'hypergraph.sizing' package, but this package is optimised for faster computation in the case where we test all pairs of predictors. The package also includes functions for counting independent sets in a graph or hypergraph, either exactly or approximately. There is also a very limited function for isotonic regression, which is designed for fast computation in the specific case needed for hypergraph variable selection, rather than for general use.
How to cite:
Toby Kenney (2026). HVS: Hypergraph Variable Selection. R package version 1.0.1, https://cran.r-project.org/web/packages/HVS. Accessed 24 Oct. 2026.
Previous versions and publish date:
1.0.0 (2026-06-30 13:30), (2026-07-14 05:33)
Other packages that cited HVS R package
View HVS citation profile
Other R packages that HVS depends, imports, suggests or enhances
Complete documentation for HVS
Functions, R codes and Examples using the HVS R package
Full HVS package functions and examples
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