Learn R Programming

fastCorrDiff (version 0.5)

Fast Differential Correlation Matrix Screening

Description

Fast spectral algorithms for differential analysis on large-scale correlation matrices of Li et. al. (2021) 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.

Copy Link

Version

Install

install.packages('fastCorrDiff')

Monthly Downloads

14

Version

0.5

License

GPL (>= 2)

Maintainer

Tianxi Li

Last Published

November 18th, 2021

Functions in fastCorrDiff (0.5)

fastCorrDiff-package

fastCorrDiff
sampling.ER

Internal functions for intermediate computation
fast.SS

Compressed spectral screening
SS.boot

Bootstraping function for spectral screening
SS

Spectral screening of a differential correlation matrix
CaiSpectral

Spectral project algorithm of Cai et al (2017).