gpaExample
Bioc currentExample data for the GPA package (Genetic analysis incorporating Pleiotropy and Annotation)
Release Lineage
Entered 3.11 · Apr 28, 2020
Current · Requires R 4.6
Description
Example data for the GPA package, consisting of the p-values of 1,219,805 SNPs for five psychiatric disorder GWAS from the psychiatric GWAS consortium (PGC), with the annotation data using genes preferentially expressed in the central nervous system (CNS).
None published for Bioconductor
Call graph
Open call graph →Code intelligence has not been computed for this package yet.
Code
Structure
Lines of code
37
Files
6
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
0
Internal functions
0
Testing
Has tests
No
Test-to-code ratio
–
testthat edition
–
Docs
Roxygen coverage
–
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
–
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.0.0
System requirements
–
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
- 1
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- not tracked
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 100%
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 2026-10-21.
GitHub Pages site last deployed 2020-02-27
Datasets
| Name | Class | Size | Also in |
|---|---|---|---|
| exampleData | list | 2 elements | No other package |
Topics
Suggested by (1)
People (from the free-text Author field)
Cite
Cite this package
Run in R for the authors' preferred citation:
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