DESCRIPTION

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: 7.1.1
VignetteBuilder: knitr