mgc (1.0)

Multiscale Graph Correlation.

https://github.com/neurodata/mgc
http://cran.r-project.org/web/packages/mgc

Multiscale Graph Correlation (MGC) is a framework developed by Shen et al. (2017) 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.

Maintainer: Eric Bridgeford
Author(s): Eric Bridgeford [aut, cre], Censheng Shen [aut], Shangsi Wang [aut], Joshua Vogelstein [ths]

License: GPL-2

Uses: MASS, SDMTools, ggplot2, testthat, reshape2, knitr, rmarkdown

Released over 1 year ago.