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.">

FDX: False Discovery Exceedance Controlling Multiple Testing Procedures (original) (raw)

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: 2.0.0
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
Published: 2024-10-15
DOI: 10.32614/CRAN.package.FDX
Author: Sebastian Döhler [aut], Florian Junge [aut, cre], Etienne Roquain [ctb]
Maintainer: Florian Junge <florian.junge 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

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