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: 1.3-4
Depends: R (≥ 3.00)
Imports: Rcpp (≥ 1.0.1), methods
LinkingTo: Rcpp
Suggests: R.rsp, knitr, rmarkdown
Published: 2020-02-14
Author: Sebastian Döhler [ctb], Guillermo Durand [aut, ctb], Florian Junge [aut, cre], Etienne Roquain [ctb]
Maintainer: Florian Junge <florian.junge at h-da.de>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: NEWS
CRAN checks: DiscreteFDR results


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_1.3-4.tar.gz
Windows binaries: r-devel: DiscreteFDR_1.3-4.zip, r-release: DiscreteFDR_1.3-4.zip, r-oldrel: DiscreteFDR_1.3-4.zip
macOS binaries: r-release: DiscreteFDR_1.3-4.tgz, r-oldrel: DiscreteFDR_1.3-4.tgz
Old sources: DiscreteFDR archive

Reverse dependencies:

Reverse depends: FDX


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