The functional FDR (fFDR) methodology utilizes an informative variable as well as p-value 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 q-value based FDR methodology.
|Maintainer||David Robinson <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
Install the latest version of this package by entering the following in R:
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.