multistateQTL
Bioc currentToolkit for the analysis of multi-state QTL data
Release Lineage
Entered 3.19 · May 1, 2024
Current · Requires R 4.6
Description
A collection of tools for doing various analyses of multi-state QTL data, with a focus on visualization and interpretation. The package 'multistateQTL' contains functions which can remove or impute missing data, identify significant associations, as well as categorise features into global, multi-state or unique. The analysis results are stored in a 'QTLExperiment' object, which is based on the 'SummarisedExperiment' framework.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
32 17 exported
Complexity
4.5 avg / 11 max
Call network
32 nodes / 18 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
3,691
Files
56
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
19
Internal functions
15
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.28
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
5
First release
2024-04-30
Latest release
2026-04-28
Avg cadence
150 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
- 96%
- Return-value docs
- 100%
- References docs
- 0%
Topics
People
- Amelia Dunstone maintainer author
- Christina Del Azodi author
- Davis McCarthy contributor
Cite
Cite this package
Start here. This is the citation for the package itself.
citation("multistateQTL")Bioconductor packages have no CRAN DOI. The package landing page is https://bioconductor.org/packages/multistateQTL.
BibTeX, derived from DESCRIPTION
@Manual{multistateQTL,
title = {multistateQTL: Toolkit for the analysis of multi-state QTL data},
author = {Dunstone, Amelia and Del Azodi, Christina and McCarthy, Davis},
year = {2026},
note = {R package version 2.4.0},
url = {https://bioconductor.org/packages/multistateQTL}
}Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.
This is the citation for the package. It is not a citation for the R Observatory.
Cite this page
Use this when the claim is about a measurement on this page.
BibTeX
@misc{robservatorymultistateQTL,
author = {Balamuta, James Joseph},
title = {{R} {Observatory}: Metrics for {multistateQTL} version 2.4.0},
year = {2026},
publisher = {HJJB, LLC},
url = {https://r-observatory.thecoatlessprofessor.com/bioc/multistateQTL},
note = {Data set. Data release v2026-08-05}
}APA
Balamuta, J. J. (2026). R Observatory: Metrics for multistateQTL version 2.4.0 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/bioc/multistateQTLRIS
TY - DATA
AU - Balamuta, James Joseph
TI - R Observatory: Metrics for multistateQTL version 2.4.0
PY - 2026
PB - HJJB, LLC
N1 - Data release v2026-08-05
UR - https://r-observatory.thecoatlessprofessor.com/bioc/multistateQTL
ER - In prose
These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/bioc/multistateQTL.Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.