q.tfisher {TFisher} | R Documentation |
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
## 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)
[Package TFisher version 0.2.0 Index]