DiscreteFDR: Multiple Testing Procedures with Adaptation for Discrete Tests

Multiple testing procedures 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 a set of observed p-values and their discrete support under the null. A function to compute such p-values and supports for Fisher's exact tests is also provided, along with a wrapper allowing to apply discrete procedures directly from contingency tables.

Version: 1.3.6
Depends: R (≥ 3.00)
Imports: Rcpp (≥ 1.0.1), methods
LinkingTo: Rcpp
Suggests: R.rsp, knitr, rmarkdown, discreteMTP
Published: 2021-09-03
Author: Sebastian Döhler [ctb], Guillermo Durand [aut, ctb], Florian Junge [aut, cre], Etienne Roquain [ctb]
Maintainer: Florian Junge <florian.junge at h-da.de>
BugReports: https://github.com/DISOhda/DiscreteFDR/issues
License: GPL-3
URL: https://github.com/DISOhda/DiscreteFDR
NeedsCompilation: yes
Materials: NEWS
CRAN checks: DiscreteFDR results

Downloads:

Reference manual: DiscreteFDR.pdf
Vignettes: DiscreteFDR: An R package for controlling the false discovery rate for discrete test statistics
Introduction to DiscreteFDR
Package source: DiscreteFDR_1.3.6.tar.gz
Windows binaries: r-devel: DiscreteFDR_1.3.6.zip, r-devel-UCRT: DiscreteFDR_1.3.6.zip, r-release: DiscreteFDR_1.3.6.zip, r-oldrel: DiscreteFDR_1.3.6.zip
macOS binaries: r-release (arm64): DiscreteFDR_1.3.6.tgz, r-release (x86_64): DiscreteFDR_1.3.6.tgz, r-oldrel: DiscreteFDR_1.3.6.tgz
Old sources: DiscreteFDR archive

Reverse dependencies:

Reverse depends: FDX

Linking:

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