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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "mgc" in publications use:'
type: software
license: GPL-2.0-only
title: 'mgc: Multiscale Graph Correlation'
version: 2.0.2
doi: 10.32614/CRAN.package.mgc
abstract: 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.
authors:
- family-names: Bridgeford
  given-names: Eric
  email: ericwb95@gmail.com
- family-names: Shen
  given-names: Censheng
  email: cshen6@jhu.edu
- family-names: Wang
  given-names: Shangsi
  email: swang127@jhu.edu
repository: https://neurodata.r-universe.dev
repository-code: https://github.com/neurodata/r-mgc
commit: 53117f00ec82d116ce9d1496265588aa5fd9e840
url: https://github.com/neurodata/r-mgc
date-released: '2020-06-20'
contact:
- family-names: Bridgeford
  given-names: Eric
  email: ericwb95@gmail.com