DCA: Dynamic Correlation Analysis for High Dimensional Data

Finding dominant latent signals that regulate dynamic correlation between many pairs of variables.

Version: 2.0
Imports: methods, GPArotation, PMA, coin, elasticnet, locfdr, modeest, mvtnorm
Published: 2017-07-20
Author: Tianwei Yu
Maintainer: Tianwei Yu <tianwei.yu at emory.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: DCA results


Reference manual: DCA.pdf


Package source: DCA_2.0.tar.gz
Windows binaries: r-devel: DCA_2.0.zip, r-release: DCA_2.0.zip, r-oldrel: DCA_2.0.zip
macOS binaries: r-release (arm64): DCA_2.0.tgz, r-oldrel (arm64): DCA_2.0.tgz, r-release (x86_64): DCA_2.0.tgz, r-oldrel (x86_64): DCA_2.0.tgz
Old sources: DCA archive


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