sampling.ER: Internal functions for intermediate computation

In fastCorrDiff: Fast Differential Correlation Matrix Screening

Description

Internal functions for intermediate computation

Usage

sampling.ER(n, rho)
psd.sqrt(X, inv = FALSE, K = NULL)
ind1toind2(index, nc, nr)
fast.Correlation(X1, rho)

Arguments

n	number of total length of indices
rho	sampling probability
X	Matrix to for which square root matrix is calculated
inv	Whether to calculate its inverse sqrt
K	Rank K is low-rank approximation is desired
index	vector index
nc	number of columns
index	number of rows
X1	Matrix of the first group of observations. Each row is variable and each column is an observation. Note that this is different from the usual way of statistical data matrices, because usually number of variables is much larger than the number of observations in this case.

Author(s)

Tianxi Li and Xiwei Tang Maintainer: Tianxi Li [e-mail]

References

Tianxi Li, Xiwei Tang, and Ajay Chatrath. Compressed spectral screening for large-scale differential correlation analysis with application in selecting Glioblastoma gene modules. arXiv preprint arXiv:2111.03721, 2021.

fastCorrDiff documentation built on Nov. 18, 2021, 5:07 p.m.