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qvalue

Bioc current

Q-value estimation for false discovery rate control

v2.44.0 · Package record · software · LGPL

Release Lineage

Entered 1.4 · May 17, 2004

Current · Requires R 4.6

1.0 In 45 of 49 releases 3.23

Description

This package takes a list of p-values resulting from the simultaneous testing of many hypotheses and estimates their q-values and local FDR values. The q-value of a test measures the proportion of false positives incurred (called the false discovery rate) when that particular test is called significant. The local FDR measures the posterior probability the null hypothesis is true given the test's p-value. Various plots are automatically generated, allowing one to make sensible significance cut-offs. Several mathematical results have recently been shown on the conservative accuracy of the estimated q-values from this software. The software can be applied to problems in genomics, brain imaging, astrophysics, and data mining.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

9 5 exported

Complexity

5.6 avg / 12 max

Call network

9 nodes / 4 edges

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

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Lowest coverage

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

Code

Structure

Lines of code

2,021

Files

30

Compiled share

0%

Has compiled src

No

Language breakdown

R 935 (46.3%)Docs 687 (34%)Vignettes 399 (19.7%)

API

Exported functions

5

Internal functions

4

Testing

Has tests

No

Test-to-code ratio

0.00

testthat edition

–

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

2.10

System requirements

–

C++ standard

–

License

LGPL

License flags

not SPDX, not OSI

History

Versions

45

First release

2004-08-23

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

12

LOC over versions

v1.4: 936 LOCv1.5: 1,082 LOCv1.6: 1,082 LOCv1.7: 1,082 LOCv1.8: 1,082 LOCv1.9: 1,082 LOCv2.0: 1,082 LOCv2.1: 1,082 LOCv2.2: 1,082 LOCv2.3: 1,082 LOCv2.4: 1,082 LOCv2.5: 1,082 LOCv2.6: 1,082 LOCv2.7: 1,074 LOCv2.8: 1,074 LOCv2.9: 1,074 LOCv2.10: 1,074 LOCv2.11: 1,074 LOCv2.12: 1,074 LOCv2.13: 1,074 LOCv2.14: 8,266 LOCv3.0: 7,696 LOCv3.1: 1,973 LOCv3.2: 2,003 LOCv3.3: 2,003 LOCv3.4: 2,003 LOCv3.5: 2,003 LOCv3.6: 2,021 LOCv3.7: 2,021 LOCv3.8: 2,021 LOCv3.9: 2,021 LOCv3.10: 2,021 LOCv3.11: 2,021 LOCv3.12: 2,021 LOCv3.13: 2,021 LOCv3.14: 2,021 LOCv3.15: 2,021 LOCv3.16: 2,021 LOCv3.17: 2,021 LOCv3.18: 2,021 LOCv3.19: 2,021 LOCv3.20: 2,021 LOCv3.21: 2,021 LOCv3.22: 2,021 LOCv3.23: 2,021 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
READMEYes · 831 wordsVignettesYes · 1 · dynamicNEWSYes · 33% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
9
Examples that run
100%9 run in a plain check
Exported functions with examples
100%
Documented parameters
93%
Return-value docs
100%
Help pages citing references
89%
Vignettes (1)

Repository practices

Upstream repositoryBeta

Checks run against github.com/jdstorey/qvalue on 2026-10-22.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 1
NameClassSizeAlso in
hedenfalklist3 elementsNo other package

All of qvalue's data objects

Topics

Maintainer
John D. Storey

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (73)

Show 73 packagesHide 73 packages

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("qvalue")
Storey, J. D., Bass, A. J., Dabney, A., Robinson, D., & Warnes, G. (2026). qvalue: Q-value estimation for false discovery rate control (Version 2.44.0) [Computer software]. https://bioconductor.org/packages/qvalue

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 qvalue version 2.44.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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