The functional FDR (fFDR) methodology utilizes an informative variable as well as pvalue for multiple hypothesis testing. It models the likelihood of a true null hypothesis as a function of the informative variable (referred to as the "functional proportion""), and models the power of a statistical test also as a function of the informative variable. When neither the functional proportion nor the statistical test depends on the informtaive variable, the fFDR methodology reduces to the traditional qvalue based FDR methodology.
Package details 


Author  David Robinson 
Maintainer  David Robinson <[email protected]> 
License  MIT + file LICENSE 
Version  0.1 
URL  http://github.com/dgrtwo/fFDR 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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