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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 "corTest" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'corTest: Robust Tests for Equal Correlation'
version: 1.0.7
doi: 10.32614/CRAN.package.corTest
abstract: 'There are 6 novel robust tests for equal correlation. They are all based
  on logistic regressions. The score statistic U is proportion to difference of two
  correlations based on different types of correlation in 6 methods. The ST1() is
  based on Pearson correlation. ST2() improved ST1() by using median absolute deviation.
  ST3() utilized type M correlation and ST4() used Spearman correlation. ST5() and
  ST6() used two different ways to combine ST3() and ST4(). We highly recommend ST5()
  according to the article titled ''''New Statistical Methods for Constructing Robust
  Differential Correlation Networks to characterize the interactions among microRNAs''''
  published in Scientific Reports. Please see the reference: Yu et al. (2019) <https://doi.org/10.1038/s41598-019-40167-8>.'
authors:
- family-names: Yu
  given-names: Danyang
  email: dyu33@jhu.edu
- family-names: Qiu
  given-names: Weiliang
- family-names: Zhang
  given-names: Zeyu
- family-names: Glass
  given-names: Kimberly
- family-names: Su
  given-names: Jessica
- family-names: DeMeo
  given-names: Dawn L.
- family-names: Tantisira
  given-names: Kelan
- family-names: Weiss
  given-names: Scott T.
repository: https://CRAN.R-project.org/package=corTest
date-released: '2020-09-25'
contact:
- family-names: Yu
  given-names: Danyang
  email: dyu33@jhu.edu