It is known that current false discovery rate (FDR) procedures can be very conservative when applied to multiple testing in the discrete paradigm where pvalues (and test statistics) have discrete and heterogeneous null distributions. This package implements more powerful weighted or adaptive FDR procedures for FDR control and estimation in the discrete paradigm. The package takes in the original data set rather than just the pvalues in order to carry out the adjustments for discreteness and heterogeneity of pvalue distributions. The package implements methods for two types of test statistics and their pvalues: (a) binomial test on if two independent Poisson distributions have the same means, (b) Fisher's exact test on if the conditional distribution is the same as the marginal distribution for two binomial distributions, or on if two independent binomial distributions have the same probabilities of success.
Package details 


Author  Xiongzhi Chen and Rebecca W. Doerge <rwdoerge@andrew.cmu.edu> 
Date of publication  20170903 17:52:07 UTC 
Maintainer  Xiongzhi Chen <xiongzhi.chen@wsu.edu> 
License  LGPL 
Version  1.1 
URL  http://math.wsu.edu/faculty/xchen/welcome.php 
Package repository  View on CRAN 
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