Package: FixSeqMTP 0.1.2

FixSeqMTP: Fixed Sequence Multiple Testing Procedures

Several generalized / directional Fixed Sequence Multiple Testing Procedures (FSMTPs) are developed for testing a sequence of pre-ordered hypotheses while controlling the FWER, FDR and Directional Error (mdFWER). All three FWER controlling generalized FSMTPs are designed under arbitrary dependence, which allow any number of acceptances. Two FDR controlling generalized FSMTPs are respectively designed under arbitrary dependence and independence, which allow more but a given number of acceptances. Two mdFWER controlling directional FSMTPs are respectively designed under arbitrary dependence and independence, which can also make directional decisions based on the signs of the test statistics. The main functions for each proposed generalized / directional FSMTPs are designed to calculate adjusted p-values and critical values, respectively. For users' convenience, the functions also provide the output option for printing decision rules.

Authors:Yalin Zhu, Wenge Guo

FixSeqMTP_0.1.2.tar.gz
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FixSeqMTP_0.1.2.tgz(r-4.4-any)FixSeqMTP_0.1.2.tgz(r-4.3-any)
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FixSeqMTP.pdf |FixSeqMTP.html
FixSeqMTP/json (API)

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

Peer review:

Bug tracker:https://github.com/allenzhuaz/fixseqmtp/issues

On CRAN:

multiple-testingpre-ordersequential-testing

17 exports 3 stars 0.92 score 0 dependencies 11 scripts 145 downloads

Last updated 5 years agofrom:7659e10f87. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 09 2024
R-4.5-winNOTESep 09 2024
R-4.5-linuxNOTESep 09 2024
R-4.4-winNOTESep 09 2024
R-4.4-macNOTESep 09 2024
R-4.3-winNOTESep 09 2024
R-4.3-macNOTESep 09 2024

Exports:bisection.FDRbisection.FWERFSFDR.arbidept.cvFSFDR.arbidept.p.adjustFSFDR.indept.cvFSFDR.indept.p.adjustFSFWER.arbidept.cvFSFWER.arbidept.p.adjustFSmdFWER.arbidept.cvFSmdFWER.arbidept.p.adjustFSmdFWER.indept.cvFSmdFWER.indept.p.adjustoptim.accept.adjpoptim.arbidept.adjpoptim.both.adjpoptim.indept.adjpoptim.reject.adjp

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Bisection algorithm (FDR)bisection.FDR
Bisection algorithm (FWER)bisection.FWER
FixSeqMTP : Tools for Fixed Sequence Multiple Testing ProceduresFixSeqMTP-package FixSeqMTP
Critical Values for Fixed Sequence FDR Controlling Procedure under Arbitrary DependenceFSFDR.arbidept.cv
Adjusted P-values for Fixed Sequence FDR Controlling Procedure under Arbitrary DependenceFSFDR.arbidept.p.adjust
Critical Values for Fixed Sequence FDR Controlling Procedure under IndependenceFSFDR.indept.cv
Adjusted P-values for Fixed Sequence FDR Controlling Procedure under IndependenceFSFDR.indept.p.adjust
Critical Values for Fixed Sequence FWER Controlling Procedures under Arbitrary DependenceFSFWER.arbidept.cv
Adjusted P-values for Fixed Sequence FWER Controlling Procedures under Arbitrary DependenceFSFWER.arbidept.p.adjust
Critical values for Fixed Sequence mdFWER Controlling Procedure under Arbitrary Dependence Along with Directional Decisions Regarding Parameters of InterestFSmdFWER.arbidept.cv
Adjusted P-values for Fixed Sequence mdFWER Controlling Procedure under Arbitrary Dependence Along with Directional Decisions Regarding Parameters of InterestFSmdFWER.arbidept.p.adjust
Critical values for Fixed Sequence mdFWER Controlling Procedure under Independence Along with Directional Decisions Regarding Parameters of InterestFSmdFWER.indept.cv
Adjusted P-values for Fixed Sequence mdFWER Controlling Procedure under Independence Along with Directional Decisions Regarding Parameters of InterestFSmdFWER.indept.p.adjust
Objective function to be optimized (2)optim.accept.adjp
Objective function to be optimized (4)optim.arbidept.adjp
Objective function to be optimized (3)optim.both.adjp
Objective function to be optimized (5)optim.indept.adjp
Objective function to be optimized (1)optim.reject.adjp