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

On CRAN:

3.48 score 6 stars 6 scripts 143 downloads 2 exports 36 dependencies

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

Target	Result	Date
Doc / Vignettes	OK	Nov 05 2024
R-4.5-win	NOTE	Nov 05 2024
R-4.5-linux	NOTE	Nov 05 2024
R-4.4-win	NOTE	Nov 05 2024
R-4.4-mac	NOTE	Nov 05 2024
R-4.3-win	NOTE	Nov 05 2024
R-4.3-mac	ERROR	Nov 05 2024