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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0.2 |
rolling linux/jammy R-4.5 | mgc_2.0.2.tar.gz |
788.3 KiB |
2.0.2 |
rolling linux/noble R-4.5 | mgc_2.0.2.tar.gz |
787.7 KiB |
2.0.2 |
rolling source/ R- | mgc_2.0.2.tar.gz |
636.7 KiB |
2.0.2 |
latest linux/jammy R-4.5 | mgc_2.0.2.tar.gz |
788.3 KiB |
2.0.2 |
latest linux/noble R-4.5 | mgc_2.0.2.tar.gz |
787.7 KiB |
2.0.2 |
latest source/ R- | mgc_2.0.2.tar.gz |
636.7 KiB |
2.0.2 |
2026-04-26 source/ R- | mgc_2.0.2.tar.gz |
636.7 KiB |
2.0.2 |
2026-04-23 source/ R- | mgc_2.0.2.tar.gz |
636.7 KiB |
2.0.2 |
2026-04-09 windows/windows R-4.5 | mgc_2.0.2.zip |
796.2 KiB |
2.0.2 |
2025-04-20 source/ R- | mgc_2.0.2.tar.gz |
636.7 KiB |