dicosar-package: Two-sample homogeneity test of Pearson's correlations using...

In lhe17/dicosar: Two-sample homogeneity test of Pearson's correlations using saddlepoint approximation and signed root of likelihood ratio statistic

Two-sample homogeneity test of Pearson's correlations using saddlepoint approximation and signed root of likelihood ratio statistic

Description

Testing differential Pearson's correlations between two samples using multivariate saddlepoint approximation and the signed root of the likelihood ratio statistic.

Details

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Robust and fast two-sample test of equal correlations or correlation matrices

Author(s)

Liang He, Ian Philipp

Maintainer: Liang He <[e-mail]>

References

He et al. Robust and fast two-sample test of equal correlations with an application to differential co-expression, (2022).

Examples

library(dicosar)
n = 100
x1 = matrix(rnorm(2*n),nrow=n)
x2 = matrix(rnorm(2*n),nrow=n)
dicosar(x1,x2)

lhe17/dicosar documentation built on Sept. 27, 2022, 8:09 a.m.