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 depends: | FDX |
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