Package: mgc
Type: Package
Title: Multiscale Graph Correlation
Version: 2.0.2
Date: 2020-06-20
Authors@R: c(person("Eric", "Bridgeford", role = c("aut", "cre"),
	   	    email = "ericwb95@gmail.com"),
	   	 person("Censheng", "Shen", role="aut",
	   	        email="cshen6@jhu.edu"),
	     person("Shangsi", "Wang", role = "aut",
	            email = "swang127@jhu.edu"),
	     person("Joshua", "Vogelstein", role = "ths",
	     	    email = "jovo@jhu.edu"))
Maintainer: Eric Bridgeford <ericwb95@gmail.com>
Description: 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.
Depends: R (>= 3.4.0)
Imports: stats, MASS, abind, boot, energy, raster
URL: https://github.com/neurodata/r-mgc
Suggests: testthat (>= 2.1.0), ggplot2, reshape2, knitr, rmarkdown
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-06-22 22:51:13 UTC; eric
Author: Eric Bridgeford [aut, cre],
  Censheng Shen [aut],
  Shangsi Wang [aut],
  Joshua Vogelstein [ths]
Repository: CRAN
Date/Publication: 2020-06-23 12:50:18 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 17:56:05 UTC; unix
Archs: mgc.so.dSYM
