AWFisher
Bioc currentAn R package for fast computing for adaptively weighted fisher's method
Release Lineage
Entered 3.10 · Oct 30, 2019
Current · Requires R 4.6
Description
Implementation of the adaptively weighted fisher's method, including fast p-value computing, variability index, and meta-pattern.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
13 5 exported
Complexity
3 avg / 8 max
Call network
13 nodes / 10 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
2,041
Files
30
Compiled share
16.8%
Has compiled src
Yes
Language breakdown
API
Exported functions
5
Internal functions
5
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
3.6
System requirements
–
C++ standard
–
License
GPL-3
License flags
SPDX valid, OSI approved
History
Versions
14
First release
2020-02-08
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
- Help pages
- 6
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
- AWFisher HTML
Repository practices
Checks run against github.com/caleb-huo/awfisher on 2026-10-11.
No development-tooling practices detected in the upstream repository.
Datasets
| Name | Class | Size | Also in |
|---|---|---|---|
| data_mouseMetabolism | list | 3 elements | No other package |
1 internal object is bundled for the package's own use and not listed here.
Topics
People (from the free-text Author field)
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("AWFisher")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.