st5: Test Differential Correlation Using st5 Method
In corTest: Robust Tests for Equal Correlation

Description Usage Arguments Value Author(s) References Examples

# Compute p-value for the equal correlation test with combination of Spearman corrleaion and percentage bend correlation based on a logistic regression model corresponding to two independent groups

1	st5(x1, z1, x0, z0)

`x1`	a numeric vector
`z1`	a numeric vector with same length as `x1`
`x0`	a numeric vector
`z0`	a numeric vector with same length as `x0`

`stat`	Test statistic for testing if correlation between `x1` and `z1` is the same as that between `x0` and `z0`
`p-value`	p-value of test
`signedStat`	Signed test statistic

Danyang Yu <dyu33@jhu.edu>, Weiliang Qiu <weiliang.qiu@gmail.com>

Danyang Yu, Zeyu Zhang, Kimberly Glass, Jessica Su, Dawn L. DeMeo, Kelan Tantisira, Scott T. Weiss, Weiliang Qiu(corresponding author). New Statistical Methods for Constructing Robust Differential Correlation Networks to characterize the interactions among microRNAs. Scientific Reports 9, Article number: 3499 (2019)

x1 = ghdist(n = 100, g = 0.2, h = 0.2)
x0 = ghdist(n = 100, g = 0.2, h = 0.2)
z1 = x1 + ghdist(n = 100, g = 0.2, h = 0.2)
z0 = x0 + ghdist(n = 100, g = 0.2, h = 0.2)
p = st5(x1, z1, x0, z0)
print(p)