In this test, we are interested to test whether pvalue is more significant than randomly selected p-values.
Pvalue: this is a vector. For instance, pvalue=c(0.01,0.04,0.06,0.15,0.17).
Weight : This is weight for p-values. Weight should be positive and weight is a vector with the same length as pvalue. For instance, weight=c(2,4,5,2,3).
If you do not have weight for p-values, simply set weight = NA. Default sets weight=2 for each p-value. This equals to Fisher's method with correlation. Traditional Fisher's method is based on independent assumptions. In this code, all tests (including Fisher's method), take correlations into account.
p_random: this is p-value matrix by randomly selecting 100000 vectors of pvalues. Put randomly selected pvalue vectors in the columns of p_random.
Maintainer: Hongying Dai <email@example.com>
Citation: Dai et al. A Modified Generalized Fisher Method for Combining Probabilities from Dependent Tests. Frontiers in Genetics. 2014, 20
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