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DiscreteFDR (version 2.1.1)

FDR Based Multiple Testing Procedures with Adaptation for Discrete Tests

Description

Implementations of the multiple testing procedures for discrete tests described in the paper Döhler, Durand and Roquain (2018) "New FDR bounds for discrete and heterogeneous tests" . The main procedures of the paper (HSU and HSD), their adaptive counterparts (AHSU and AHSD), and the HBR variant are available and are coded to take as input the results of a test procedure from package 'DiscreteTests', or a set of observed p-values and their discrete support under their nulls. A shortcut function to obtain such p-values and supports is also provided, along with a wrapper allowing to apply discrete procedures directly to data.

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install.packages('DiscreteFDR')

Monthly Downloads

259

Version

2.1.1

License

GPL-3

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Maintainer

Florian Junge

Last Published

February 13th, 2026

Functions in DiscreteFDR (2.1.1)

hist.DiscreteFDR

Histogram of Raw P-Values
kernel

Kernel Functions
match.pvals

Matching Raw P-Values with Supports
plot.DiscreteFDR

Plot Method for DiscreteFDR objects
print.DiscreteFDR

Printing DiscreteFDR results
summary.DiscreteFDR

Summarizing Discrete FDR Results
DBY

The Discrete Benjamini-Yekutieli Procedure
DBH

Wrapper Functions for the Discrete Benjamini-Hochberg Procedure
direct.discrete.BH

Direct Application of Multiple Testing Procedures to Dataset
ADBH

Wrapper Functions for the Adaptive Discrete Benjamini-Hochberg Procedure
generate.pvalues

Generation of P-Values and Their Supports After Data Transformations
discrete.BH

The Discrete Benjamini-Hochberg Procedure
DiscreteFDR

FDR-based Multiple Testing Procedures with Adaptation for Discrete Tests
DBR

The Discrete Blanchard-Roquain Procedure
fast.Discrete

Fast Application of Discrete Multiple Testing Procedures
fisher.pvalues.support

Computing Discrete P-Values and Their Supports for Fisher's Exact Test