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 |
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-release: DiscreteFDR_1.3.6.zip, r-oldrel: DiscreteFDR_1.3.6.zip |
macOS binaries: | r-release (arm64): DiscreteFDR_1.3.6.tgz, r-oldrel (arm64): DiscreteFDR_1.3.6.tgz, r-release (x86_64): DiscreteFDR_1.3.6.tgz, r-oldrel (x86_64): DiscreteFDR_1.3.6.tgz |
Old sources: | DiscreteFDR archive |
Reverse depends: | FDX |
Reverse suggests: | sgof |
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