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.
|Depends:||R (≥ 3.00)|
|Imports:||Rcpp (≥ 1.0.1), methods|
|Suggests:||R.rsp, knitr, rmarkdown, discreteMTP|
|Author:||Sebastian Döhler [ctb], Guillermo Durand [aut, ctb], Florian Junge [aut, cre], Etienne Roquain [ctb]|
|Maintainer:||Florian Junge <florian.junge at h-da.de>|
|CRAN checks:||DiscreteFDR results|
DiscreteFDR: An R package for controlling the false discovery rate for discrete test statistics
Introduction to DiscreteFDR
|Windows binaries:||r-devel: 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|
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