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
RoxygenNote: 7.1.1
VignetteBuilder: knitr
Config/pak/sysreqs: libgdal-dev gdal-bin libgeos-dev libgsl0-dev
        libproj-dev libsqlite3-dev
Repository: https://neurodata.r-universe.dev
Date/Publication: 2021-02-23 04:35:24 UTC
RemoteUrl: https://github.com/neurodata/r-mgc
RemoteRef: HEAD
RemoteSha: 53117f00ec82d116ce9d1496265588aa5fd9e840
NeedsCompilation: yes
Packaged: 2026-06-10 08:27:27 UTC; root
Author: Eric Bridgeford [aut, cre],
  Censheng Shen [aut],
  Shangsi Wang [aut],
  Joshua Vogelstein [ths]