gdim
cranv0.1.1Estimate Graph Dimension using Cross-Validated Eigenvalues. 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 co
License GPL (>= 3)0 versions1 maintainers9 deps53 weekly dl
RoheLab/gdim42
/ 100
Health
safe to use
[email protected] is safe to use (health: 42/100)
Health breakdown0 – 100
15/25
maintenance
0/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known
Health History
Dependency Tree
License Audit
API access
Get this data programmatically — free, no authentication.
curl https://depscope.dev/api/check/cran/gdimFirst published · 2025-12-11 11:43:51
Last updated · 2025-12-09T08:00:02+00:00