PANR
Bioc currentPosterior association networks and functional modules inferred from rich phenotypes of gene perturbations
Release Lineage
Entered 2.9 · Nov 1, 2011
Current · Requires R 4.6
Description
This package provides S4 classes and methods for inferring functional gene networks with edges encoding posterior beliefs of gene association types and nodes encoding perturbation effects.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
7 3 exported
Complexity
2.9 avg / 10 max
Call network
7 nodes / 5 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
3,781
Files
42
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
3
Internal functions
4
Testing & CI
Has tests
No
Test-to-code ratio
0.00
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
12
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
2.14
System requirements
–
C++ standard
–
License
Artistic-2.0
License flags
SPDX valid, OSI approved
History
Versions
30
First release
2012-03-20
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
1
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 45%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 90%
Topics
Depended on by (1)
Bioconductor (1)
People
Xin Wang