Package: gdim 0.1.0.9000

Alex Hayes

gdim: Estimate 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 correlations follow a simple central limit theorem that can be used to estimate graph dimension via hypothesis testing, see Chen et al. (2021) <arxiv:2108.03336> for details.

Authors:Fan Chen [aut], Alex Hayes [cre, aut, cph], Karl Rohe [aut]

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NEWS

# Install 'gdim' in R:

install.packages('gdim', repos = c('https://rohelab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rohelab/gdim/issues

Pkgdown site:https://rohelab.github.io

On CRAN:

3.54 score 7 stars 6 scripts 136 downloads 2 exports 36 dependencies

Last updated 1 years agofrom:9c9b98ee97. Checks:1 OK, 5 NOTE, 1 ERROR. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Jan 04 2025
R-4.5-win	NOTE	Jan 04 2025
R-4.5-linux	NOTE	Jan 04 2025
R-4.4-win	NOTE	Jan 04 2025
R-4.4-mac	NOTE	Jan 04 2025
R-4.3-win	NOTE	Jan 04 2025
R-4.3-mac	ERROR	Jan 04 2025