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) <doi:10.48550/arXiv:2108.03336> for details.

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

gdim_0.1.0.9000.tar.gz
gdim_0.1.0.9000.zip(r-4.7-any)gdim_0.1.0.9000.zip(r-4.6-any)gdim_0.1.0.9000.zip(r-4.5-any)
gdim_0.1.0.9000.tgz(r-4.6-any)gdim_0.1.0.9000.tgz(r-4.5-any)
gdim_0.1.0.9000.tar.gz(r-4.7-any)gdim_0.1.0.9000.tar.gz(r-4.6-any)
gdim_0.1.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
gdim/json (API)

# 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/docs site:https://rohelab.github.io

On CRAN:

Conda:

3.54 score 7 stars 6 scripts 383 downloads 1 exports 32 dependencies

Last updated from:4b547b2419. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE125
source / vignettesOK160
linux-releaseNOTE129
macos-releaseNOTE122
macos-oldrelNOTE207
windows-develNOTE78
windows-releaseNOTE99
windows-oldrelNOTE99
wasm-releaseOK93

Exports:eigcv

Dependencies:clicpp11crayondplyrfarvergenericsggplot2gluegtablehmsirlbaisobandlabelinglatticelifecyclemagrittrMatrixpillarpkgconfigprettyunitsprogressR6RColorBrewerrlangS7scalestibbletidyselectutf8vctrsviridisLitewithr