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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: fastCorrDiff results


Reference manual: fastCorrDiff.pdf


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


Please use the canonical form to link to this page.