Package: FDX 2.0.3

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.

Authors:Sebastian Döhler [aut], Florian Junge [aut, cre], Etienne Roquain [ctb]

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FDX.pdf |FDX.html✨
FDX/json (API)
NEWS

# Install 'FDX' in R:
install.packages('FDX', repos = c('https://disohda.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/disohda/fdx/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

3.15 score 2 stars 706 downloads 31 exports 14 dependencies

Last updated 5 days agofrom:7a2882695b. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-win-x86_64OKNov 16 2024
R-4.5-linux-x86_64OKNov 16 2024
R-4.4-win-x86_64OKNov 16 2024
R-4.4-mac-x86_64OKNov 16 2024
R-4.4-mac-aarch64OKNov 16 2024
R-4.3-win-x86_64OKNov 16 2024
R-4.3-mac-x86_64OKNov 16 2024
R-4.3-mac-aarch64OKNov 16 2024

Exports:continuous.GRcontinuous.LRDGRdirect.discrete.GRdirect.discrete.LRdirect.discrete.PBdiscrete.GRdiscrete.LRdiscrete.PBDLRDPBfast.Discrete.GRfast.Discrete.LRfast.Discrete.PBGRLRNDGRNDLRNDPBNGRNLRrejection.pathweighted.GRweighted.LRweighted.PBwGR.AMwGR.GMwLR.AMwLR.GMwPB.AMwPB.GM

Dependencies:backportscheckmatecliDiscreteDatasetsDiscreteFDRDiscreteTestsgluelifecyclePoissonBinomialpracmaR6RcppRcppArmadillorlang

Readme and manuals

Help Manual

Help pageTopics
False Discovery Exceedance (FDX) Control for Heterogeneous and Discrete TestsFDX-package FDX
Continuous Guo-Romano procedurecontinuous.GR GR NGR
Continuous Lehmann-Romano procedurecontinuous.LR LR NLR
Wrapper Functions for the Discrete Guo-Romano ProcedureDGR DGR.default DGR.DiscreteTestResults
Direct Application of Multiple Testing Procedures to Datasetdirect.discrete direct.discrete.GR direct.discrete.LR direct.discrete.PB
Discrete Guo-Romano procedurediscrete.GR discrete.GR.default discrete.GR.DiscreteTestResults
Discrete Lehmann-Romano procedurediscrete.LR discrete.LR.default discrete.LR.DiscreteTestResults
Wrapper Functions for the Discrete Guo-Romano ProcedureDLR DLR.default DLR.DiscreteTestResults
Wrapper Functions for the Discrete Guo-Romano ProcedureDPB DPB.default
Discrete Poisson-Binomial procedurediscrete.PB discrete.PB.default discrete.PB.DiscreteTestResults DPB.DiscreteTestResults
Fast application of discrete proceduresfast.Discrete fast.Discrete.GR fast.Discrete.LR fast.Discrete.PB
Histogram of Raw P-Valueshist.FDX
Wrapper Functions for the Non-Adaptive Discrete Guo-Romano ProcedureNDGR NDGR.default NDGR.DiscreteTestResults
Wrapper Functions for the Non-Adaptive Discrete Guo-Romano ProcedureNDLR NDLR.default NDLR.DiscreteTestResults
Wrapper Functions for the Non-Adaptive Discrete Guo-Romano ProcedureNDPB NDPB.default NDPB.DiscreteTestResults
Plot Method for 'FDX' objectsplot.FDX
Printing FDX resultsprint.FDX
Rejection Path Plot (for 'FDX' objects)rejection.path
Summarizing Discrete FDX Resultsprint.summary.FDX summary.FDX
Weighted Guo-Romano Procedureweighted.GR wGR.AM wGR.GM
Weighted Lehmann-Romano Procedureweighted.LR wLR.AM wLR.GM
Weighted Poisson-Binomial Procedureweighted.PB wPB.AM wPB.GM