q.tfisher: Quantile of thresholding Fisher's p-value combination...
In TFisher: Optimal Thresholding Fisher's P-Value Combination Method

Description Usage Arguments Value References See Also Examples

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

1	q.tfisher(p, n, tau1, tau2, M = NULL)

`p`	- a scalar left probability that defines the quantile.
`n`	- dimension parameter, i.e. the number of input p-values.
`tau1`	- truncation parameter. 0 < tau1 <= 1.
`tau2`	- normalization parameter. tau2 >= tau1.
`M`	- correlation matrix of the input statistics. Default = NULL assumes independence.

Quantile of thresholding Fisher's p-value combination statistic.

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

stat.tfisher for the definition of the statistic.

## The 0.05 critical value of TFisher statistic when n = 10:
q.tfisher(p=.95, n=20, tau1=0.05, tau2=0.25)
## when corrrelated
M = matrix(0.3,20,20) + diag(1-0.3,20)
q.tfisher(p=.95, n=20, tau1=0.05, tau2=0.25, M=M)