GPA
Bioc currentGPA (Genetic analysis incorporating Pleiotropy and Annotation)
Release Lineage
Entered 3.11 · Apr 28, 2020
Current · Requires R 4.6
Description
This package provides functions for fitting GPA, a statistical framework to prioritize GWAS results by integrating pleiotropy information and annotation data. In addition, it also includes ShinyGPA, an interactive visualization toolkit to investigate pleiotropic architecture.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
8 5 exported
Complexity
16 avg / 39 max
Call network
8 nodes / 2 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
3,549
Files
29
Compiled share
17.1%
Has compiled src
Yes
Language breakdown
API
Exported functions
12
Internal functions
2
Testing
Has tests
No
Test-to-code ratio
0.00
testthat edition
–
Docs
Roxygen coverage
83.3%
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
4.0.0
System requirements
1 externalGNU make
C++ standard
–
License
GPL (>= 2)
License flags
SPDX valid, OSI approved
History
Versions
13
First release
2020-04-27
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
- 9 (1 internal)includes a package overview page
- Examples that run
- 88%7 run in a plain check · 1 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 86%
- Help pages citing references
- 89%
- GPA PDF
Repository practices
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/dongjunchung/gpa on 2026-10-25.
GitHub Pages site last deployed 2020-02-27
Topics
People (from the free-text Author field)
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("GPA")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.