p.soft: CDF of soft-thresholding Fisher's p-value combination...
In TFisher: Optimal Thresholding Fisher's P-Value Combination Method

Description Usage Arguments Value References See Also Examples

CDF of soft-thresholding Fisher's p-value combination statistic under the null hypothesis.

1	p.soft(q, n, tau1, M = NULL)

`q`	- quantile, could be a vector.
`n`	- dimension parameter, i.e. the number of p-values to be combined.
`tau1`	- truncation parameter=normalization parameter. tau1 > 0.
`M`	- correlation matrix of the input statistics. Default = NULL assumes independence.

The left-tail probability of the null distribution of soft-thresholding Fisher's p-value combination statistic at the given quantile.

1. Hong Zhang and Zheyang Wu. "TFisher Tests: Optimal and Adaptive Thresholding for Combining p-Values", submitted.

stat.soft for the definition of the statistic.

pval <- runif(100)
softstat <- stat.soft(p=pval, tau1=0.05)
p.soft(q=softstat, n=100, tau1=0.05)
M = matrix(0.3,100,100) + diag(1-0.3,100)
p.soft(q=softstat, n=100, tau1=0.05, M=M)