TFisher (version 0.2.0)

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

Description

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

Usage

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

Arguments

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.

Value

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

References

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

See Also

stat.tfisher for the definition of the statistic.

Examples

# NOT RUN {
## 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)
# }