HybridMTest
Bioc currentHybrid Multiple Testing
Release Lineage
Entered 2.10 · Apr 2, 2012
Current · Requires R 4.6
Description
Performs hybrid multiple testing that incorporates method selection and assumption evaluations into the analysis using empirical Bayes probability (EBP) estimates obtained by Grenander density estimation. For instance, for 3-group comparison analysis, Hybrid Multiple testing considers EBPs as weighted EBPs between F-test and H-test with EBPs from Shapiro Wilk test of normality as weigth. Instead of just using EBPs from F-test only or using H-test only, this methodology combines both types of EBPs through EBPs from Shapiro Wilk test of normality. This methodology uses then the law of total EBPs.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
31 8 exported
Complexity
3.1 avg / 7 max
Call network
31 nodes / 25 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
1,620
Files
47
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
8
Internal functions
1
Testing & CI
Has tests
No
Test-to-code ratio
0.00
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
2.9.0
System requirements
–
C++ standard
–
License
GPL Version 2 or later
License flags
not SPDX, not OSI
History
Versions
29
First release
2012-03-30
Latest release
2026-04-28
Avg cadence
183 days
Cold removal rate
–
Dep drift
0
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 100%
Topics
Depended on by (1)
Bioconductor (1)
People
Demba Fofana