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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.
Getting started
Browse package contents
Package details |
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| Author | Eric Bridgeford [aut, cre], Censheng Shen [aut], Shangsi Wang [aut], Joshua Vogelstein [ths] |
| Maintainer | Eric Bridgeford <ericwb95@gmail.com> |
| License | GPL-2 |
| Version | 2.0.2 |
| URL | https://github.com/neurodata/r-mgc |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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