IHW
Bioc currentIndependent Hypothesis Weighting
Release Lineage
Entered 3.3 · May 4, 2016
Current · Requires R 4.6
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.
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.
Call graph
Open 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
API
Exported functions
3
Internal functions
44
Testing & CI
Has tests
Yes
Test-to-code ratio
0.10
testthat edition
–
CI present
No
CI type
[]
PR gated
No
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
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 83%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Topics
Depended on by (10)
Bioconductor (8)
CRAN (2)
People
- Nikos Ignatiadis author maintainer
- Wolfgang Huber author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("IHW")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.