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FDX: False Discovery Exceedance Controlling Multiple Testing
Procedures
Multiple testing procedures for heterogeneous and discrete tests as
described in Döhler and Roquain (2020) <doi:10.1214/20-EJS1771>. The main
algorithms of the paper are available as continuous, discrete and weighted
versions. They take as input the results of a test procedure from package
'DiscreteTests', or a set of observed p-values and their discrete support
under their nulls. A shortcut function to obtain such p-values and supports
is also provided, along with wrappers allowing to apply discrete procedures
directly to data.
| Version: |
2.0.2 |
| Depends: |
R (≥ 3.00) |
| Imports: |
Rcpp (≥ 1.0.12), PoissonBinomial (≥ 1.2.0), pracma, DiscreteFDR (≥ 2.0.0), checkmate, lifecycle, methods |
| LinkingTo: |
Rcpp, RcppArmadillo, PoissonBinomial |
| Suggests: |
DiscreteTests (≥ 0.2.1) |
| Published: |
2024-11-11 |
| DOI: |
10.32614/CRAN.package.FDX |
| Author: |
Sebastian Döhler 
[aut],
Florian Junge
[aut, cre],
Etienne Roquain [ctb] |
| Maintainer: |
Florian Junge <diso.fbmn at h-da.de> |
| BugReports: |
https://github.com/DISOhda/FDX/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/DISOhda/FDX |
| NeedsCompilation: |
yes |
| Language: |
en-US |
| Materials: |
NEWS |
| CRAN checks: |
FDX results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=FDX
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.