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EmpiricalBrownsMethod

Bioc current

Uses Brown's method to combine p-values from dependent tests

v1.40.0 · Package record · software · MIT + file LICENSE

Release Lineage

Entered 3.3 · May 4, 2016

Current · Requires R 4.6

1.0 In 21 of 49 releases 3.23

Description

Combining P-values from multiple statistical tests is common in bioinformatics. However, this procedure is non-trivial for dependent P-values. This package implements an empirical adaptation of Brown’s Method (an extension of Fisher’s Method) for combining dependent P-values which is appropriate for highly correlated data sets found in high-throughput biological experiments.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

9 0 exported

Complexity

1.4 avg / 3 max

Call network

9 nodes / 7 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

482

Files

13

Compiled share

0%

Has compiled src

No

Language breakdown

R 127 (26.3%)Tests 134 (27.8%)Docs 108 (22.4%)Vignettes 113 (23.4%)

API

Exported functions

2

Internal functions

7

Testing

Has tests

Yes

Test-to-code ratio

1.06

testthat edition

–

Docs

Roxygen coverage

–

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

–

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.2.0

System requirements

–

C++ standard

–

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

21

First release

2016-05-15

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.3: 482 LOCv3.4: 482 LOCv3.5: 482 LOCv3.6: 482 LOCv3.7: 482 LOCv3.8: 482 LOCv3.9: 482 LOCv3.10: 482 LOCv3.11: 482 LOCv3.12: 482 LOCv3.13: 482 LOCv3.14: 482 LOCv3.15: 482 LOCv3.16: 482 LOCv3.17: 482 LOCv3.18: 482 LOCv3.19: 482 LOCv3.20: 482 LOCv3.21: 482 LOCv3.22: 482 LOCv3.23: 482 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

In the Bioconductor 3.23 release
READMENoVignettesYes · 1 · dynamicNEWSYes · 0% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
3
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
0%

Repository practices

Upstream repositoryBeta

Checks run against github.com/ilyalab/combiningdependentpvaluesusingebm on 2026-10-18.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v3 (2026-09-26)

Datasets

Bundled datasets · 4
NameClassSizeAlso in
allPvalsdata.frame46 × 2No other package
datdata.frame46 × 168No other package
pathwaysdata.frame46 × 2No other package
randDatadata.frame11 × 26No other package

All of EmpiricalBrownsMethod's data objects

Topics

Maintainer
David Gibbs

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (3)

Bioconductor (2)

CRAN (1)

People (from the free-text Author field)

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("EmpiricalBrownsMethod")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for EmpiricalBrownsMethod version 1.40.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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