corTest: Robust Tests for Equal Correlation

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) <doi:10.1038/s41598-019-40167-8>.

Version: 1.0.7
Depends: R (≥ 3.5.0)
Imports: MASS, graphics, stats, igraph, clusterGeneration, Matrix, Biobase, methods, ggplot2
Published: 2020-09-25
Author: Danyang Yu, Weiliang Qiu, Zeyu Zhang, Kimberly Glass, Jessica Su, Dawn L. DeMeo, Kelan Tantisira, Scott T. Weiss
Maintainer: Danyang Yu <dyu33 at jhu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: corTest results

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Reference manual: corTest.pdf
Package source: corTest_1.0.7.tar.gz
Windows binaries: r-devel: corTest_1.0.7.zip, r-release: corTest_1.0.7.zip, r-oldrel: corTest_1.0.7.zip
macOS binaries: r-release (arm64): corTest_1.0.7.tgz, r-release (x86_64): corTest_1.0.7.tgz, r-oldrel: corTest_1.0.7.tgz
Old sources: corTest archive

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