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IHW

Bioc current

Independent Hypothesis Weighting

v1.40.0 · Package record · software · Artistic-2.0

Release Lineage

Entered 3.3 · May 4, 2016

Current · Requires R 4.6

1.0 In 21 of 49 releases 3.23

Description

Independent hypothesis weighting (IHW) is a multiple testing procedure that increases power compared to the method of Benjamini and Hochberg by assigning data-driven weights to each hypothesis. The input to IHW is a two-column table of p-values and covariates. The covariate can be any continuous-valued or categorical variable that is thought to be informative on the statistical properties of each hypothesis test, while it is independent of the p-value under the null hypothesis.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

47 3 exported

Complexity

3.1 avg / 27 max

Call network

47 nodes / 15 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

2,801

Files

25

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,735 (61.9%)Tests 168 (6%)Docs 485 (17.3%)Vignettes 413 (14.7%)

API

Exported functions

3

Internal functions

44

Testing

Has tests

Yes

Test-to-code ratio

0.10

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

100%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.3.0

System requirements

–

C++ standard

–

License

Artistic-2.0

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: 2,569 LOCv3.4: 2,688 LOCv3.5: 2,688 LOCv3.6: 2,688 LOCv3.7: 2,688 LOCv3.8: 2,897 LOCv3.9: 2,897 LOCv3.10: 2,897 LOCv3.11: 2,897 LOCv3.12: 2,897 LOCv3.13: 2,897 LOCv3.14: 2,801 LOCv3.15: 2,801 LOCv3.16: 2,801 LOCv3.17: 2,801 LOCv3.18: 2,801 LOCv3.19: 2,801 LOCv3.20: 2,801 LOCv3.21: 2,801 LOCv3.22: 2,801 LOCv3.23: 2,801 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 · 159 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
6
Examples that run
83%5 run in a plain check · 1 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Repository practices

Bioconductor git repository

Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.

No development-tooling practices detected in the Bioconductor git repository.

Topics

Maintainer
Nikos Ignatiadis

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (3)

Bioconductor (3)

People

Cite

Cite this package

Run in R for the authors' entry:

citation("IHW")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1038/nmeth.3885.

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 IHW version 1.40.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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