Estimate Graph Dimension using Cross-Validated Eigenvalues
Overview
Cross-validated eigenvalues are estimated by splitting a graph into two parts, the training and the test graph. The training graph is used to estimate eigenvectors, and the test graph is used to evaluate the correlation between the training eigenvectors and the eigenvectors of the test graph. The correlations follow a simple central limit theorem that can be used to estimate graph dimension via hypothesis testing, see Chen et al. (2021) doi:10.48550/arXiv.2108.03336 for details.
- Improved compatibility with
fastRG0.4.0.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 4 (1 internal)includes a package overview page
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- not measured
- Median days to close, 50 most recently updated closed issues
- 917
- Median days to close, 50 most recently updated closed PRs
- not measured
Stars over time
Forks over time
Releases over time
Issues over time
8 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/rohelab/gdim on 2026-10-18.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2025-12-08 · The repository has a site deploy workflow
pkgdown site last built 2023-09-05, before release 0.1.1 (2025-12-09)
Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.1.1Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1.02023-09-05
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-09-05
- Total releases
- 2 / 3 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.1
- Download size
- 26 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("gdim")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.