mdqc
Bioc currentMahalanobis Distance Quality Control for microarrays
Release Lineage
Entered 2.2 · May 1, 2008
Current · Requires R 4.6
Description
MDQC is a multivariate quality assessment method for microarrays based on quality control (QC) reports. The Mahalanobis distance of an array's quality attributes is used to measure the similarity of the quality of that array against the quality of the other arrays. Then, arrays with unusually high distances can be flagged as potentially low-quality.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
16 2 exported
Complexity
4.6 avg / 21 max
Call network
16 nodes / 13 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
1,301
Files
11
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
2
Internal functions
14
Testing
Has tests
No
Test-to-code ratio
0.00
testthat edition
–
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
100%
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
2.2.1
System requirements
–
C++ standard
–
License
LGPL (>= 2)
License flags
SPDX valid, OSI approved
History
Versions
37
First release
2008-05-13
Latest release
2026-04-28
Avg cadence
183 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
- 5includes a package overview page
- Examples that run
- 100%4 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Repository practices
Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.
No development-tooling practices detected in the Bioconductor git repository.
Datasets
| Name | Class | Size | Also in |
|---|---|---|---|
| allQC | data.frame | 20 × 11 | No other package |
Topics
Depended on by (1)
Bioconductor (1)
People (from the free-text Author field)
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("mdqc")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.