mgc
Multiscale Graph Correlation
Multiscale Graph Correlation (MGC) is a framework developed by Vogelstein et al. (2019) doi:10.7554/eLife.41690 that extends global correlation procedures to be multiscale; consequently, MGC tests typically require far fewer samples than existing methods for a wide variety of dependence structures and dimensionalities, while maintaining computational efficiency. Moreover, MGC provides a simple and elegant multiscale characterization of the potentially complex latent geometry underlying the relationship.
- Version2.0.2
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- Last release06/23/2020
Documentation
Team
Eric Bridgeford
Joshua Vogelstein
Show author detailsRolesThesis advisorCensheng Shen
Show author detailsRolesAuthorShangsi Wang
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 212 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 10 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,528 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 28 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports5 packages
- Suggests5 packages
- Reverse Imports2 packages