ASGSCA
Bioc currentAssociation Studies for multiple SNPs and multiple traits using Generalized Structured Equation Models
Release Lineage
Entered 3.0 · Oct 14, 2014
Current · Requires R 4.6
Description
The package provides tools to model and test the association between multiple genotypes and multiple traits, taking into account the prior biological knowledge. Genes, and clinical pathways are incorporated in the model as latent variables. The method is based on Generalized Structured Component Analysis (GSCA).
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
2 2 exported
Complexity
16.5 avg / 24 max
Call network
2 nodes / 1 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
2,945
Files
28
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
2
Internal functions
0
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
–
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
–
System requirements
–
C++ standard
–
License
GPL-3
License flags
SPDX valid, OSI approved
History
Versions
24
First release
2014-10-13
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
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 63%
Topics
People
Hela Romdhani
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("ASGSCA")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.