DiscreteFDR: FDR Based Multiple Testing Procedures with Adaptation for Discrete Tests

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" <doi:10.1214/18-EJS1441>. 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.

Version: 2.0.0
Depends: R (≥ 3.00)
Imports: Rcpp (≥ 1.0.12), DiscreteTests, lifecycle, checkmate, DiscreteDatasets
LinkingTo: Rcpp, RcppArmadillo
Suggests: rmarkdown, knitr, R.rsp, kableExtra
Published: 2024-07-08
DOI: 10.32614/CRAN.package.DiscreteFDR
Author: Sebastian Döhler [aut, ctb], Florian Junge [aut, ctb, cre], Guillermo Durand [aut, ctb], Etienne Roquain [ctb], Christina Kihn [ctb]
Maintainer: Florian Junge <diso.fbmn at h-da.de>
BugReports: https://github.com/DISOhda/DiscreteFDR/issues
License: GPL-3
URL: https://github.com/DISOhda/DiscreteFDR
NeedsCompilation: yes
Language: en-US
Materials: NEWS
In views: Omics
CRAN checks: DiscreteFDR results

Documentation:

Reference manual: DiscreteFDR.pdf
Vignettes: Introduction to DiscreteFDR
Further Analyses
A Toy Example
DiscreteFDR: An R package for controlling the false discovery rate for discrete test statistics

Downloads:

Package source: DiscreteFDR_2.0.0.tar.gz
Windows binaries: r-devel: DiscreteFDR_2.0.0.zip, r-release: DiscreteFDR_2.0.0.zip, r-oldrel: DiscreteFDR_2.0.0.zip
macOS binaries: r-release (arm64): DiscreteFDR_2.0.0.tgz, r-oldrel (arm64): DiscreteFDR_2.0.0.tgz, r-release (x86_64): DiscreteFDR_2.0.0.tgz, r-oldrel (x86_64): DiscreteFDR_2.0.0.tgz
Old sources: DiscreteFDR archive

Reverse dependencies:

Reverse depends: FDX
Reverse suggests: sgof

Linking:

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