fastCorrDiff: Fast Differential Correlation Matrix Screening

Fast spectral algorithms for differential analysis on large-scale correlation matrices of Li et. al. (2021) <arXiv:2111.03721> are implemented. The methods can identify a group of genes exhibiting differential correlation patterns between two groups. For high-dimensional matrices, compressed spectral screening methods are also provided based on random subsampling. The work to build this package is partially supported by the NSF grant DMS-2015298.

Version: 0.5
Depends: Matrix, irlba, plyr
Imports: stats, RSpectra
Published: 2021-11-18
Author: Tianxi Li and Xiwei Tang
Maintainer: Tianxi Li <tianxili at virginia.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: fastCorrDiff results

Documentation:

Reference manual: fastCorrDiff.pdf

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Package source: fastCorrDiff_0.5.tar.gz
Windows binaries: r-devel: fastCorrDiff_0.5.zip, r-release: fastCorrDiff_0.5.zip, r-oldrel: fastCorrDiff_0.5.zip
macOS binaries: r-release (arm64): fastCorrDiff_0.5.tgz, r-release (x86_64): fastCorrDiff_0.5.tgz, r-oldrel: fastCorrDiff_0.5.tgz

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