Simple False Discovery Rate Calculation

Using the adjustment method from Benjamini & Hochberg (1995) , this package determines which variables are significant under repeated testing with a given dataframe of p values and an user defined "q" threshold. It then returns the original dataframe along with a significance column where an asterisk denotes a significant p value after FDR calculation, and NA denotes all other p values. This package uses the Benjamini & Hochberg method specifically as described in Lee, S., & Lee, D. K. (2018) .


Reference manual

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1.1 by Stephen Wisser, a month ago

Browse source code at

Authors: Stephen C Wisser

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports dplyr, tidyr

See at CRAN