The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
Version: | 0.1.0 |
Depends: | Matrix, R (≥ 3.5) |
Imports: | dplyr, ggplot2, irlba, magrittr, methods, progress, rlang, stats, tibble |
Suggests: | epca, fastRG, testthat (≥ 3.0.0) |
Published: | 2023-09-05 |
DOI: | 10.32614/CRAN.package.gdim |
Author: | Fan Chen |
Maintainer: | Alex Hayes <alexpghayes at gmail.com> |
BugReports: | https://github.com/RoheLab/gdim/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/RoheLab/gdim, https://rohelab.github.io/gdim/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | gdim results |
Reference manual: | gdim.pdf |
Package source: | gdim_0.1.0.tar.gz |
Windows binaries: | r-devel: gdim_0.1.0.zip, r-release: gdim_0.1.0.zip, r-oldrel: gdim_0.1.0.zip |
macOS binaries: | r-release (arm64): gdim_0.1.0.tgz, r-oldrel (arm64): gdim_0.1.0.tgz, r-release (x86_64): gdim_0.1.0.tgz, r-oldrel (x86_64): gdim_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=gdim to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.