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gasparl
POSSA:Power Simulation for Sequential Analyses and Multiple Hypotheses
Calculates, via simulation, power and appropriate stopping alpha boundaries (and/or futility bounds) for sequential analyses (i.e., group sequential design) as well as for multiple hypotheses (multiple tests included in an analysis), given any specified global error rate. This enables the sequential use of practically any significance test, as long as the underlying data can be simulated in advance to a reasonable approximation. Lukács (2022) <doi:10.21105/joss.04643>.
Maintained by Gáspár Lukács. Last updated 2 years ago.
multiple-testingr-pkgsequential-analysessequential-designstatistical-analysis
1 stars 4.30 score 3 scripts
allenzhuaz
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.
Maintained by Yalin Zhu. Last updated 6 years ago.
multiple-testingpre-ordersequential-testing
3 stars 3.22 score 11 scriptsallenzhuaz
MHTmult:Multiple Hypotheses Testing for Multiple Families/Groups Structure
A Comprehensive tool for almost all existing multiple testing methods for multiple families. The package summarizes the existing methods for multiple families multiple testing procedures (MTPs) such as double FDR, group Benjamini-Hochberg (GBH) procedure and average FDR controlling procedure. The package also provides some novel multiple testing procedures using selective inference idea.
Maintained by Yalin Zhu. Last updated 3 years ago.
hierarchical-datamultiple-testingmultiplicity
2.70 score 9 scripts