RPA
Bioc currentRPA: Robust Probabilistic Averaging for probe-level analysis
Release Lineage
Entered 2.5 · Oct 28, 2009
Current · Requires R 4.6
Description
Probabilistic analysis of probe reliability and differential gene expression on short oligonucleotide arrays.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
64 32 exported
Complexity
3.9 avg / 16 max
Call network
64 nodes / 69 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
4,915
Files
83
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
32
Internal functions
32
Testing
Has tests
Yes
Test-to-code ratio
0.00
testthat edition
–
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
4
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
3.1.1
System requirements
–
C++ standard
–
License
BSD_2_clause + file LICENSE
License flags
SPDX valid, OSI approved
History
Versions
34
First release
2009-10-27
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
100%
Dep drift
7
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Help pages
- 36 (2 internal)includes a package overview page
- Examples that run
- 0%30 hold no code
- Exported functions with examples
- 84%
- Documented parameters
- 99%
- Return-value docs
- 78%
- Help pages citing references
- 100%
- RPA R package HTML
Repository practices
Repository github.com/antagomir/rpa is linked, but repository-practices checks have not run for it yet.
Topics
Depended on by (1)
Bioconductor (1)
People
- Leo Lahti author maintainer
Cite
Cite this package
Run in R for the authors' entry:
citation("RPA")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
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.