doppelgangR
Bioc currentIdentify likely duplicate samples from genomic or meta-data
Release Lineage
Entered 3.3 · May 4, 2016
Current · Requires R 4.6
Description
The main function is doppelgangR(), which takes as minimal input a list of ExpressionSet object, and searches all list pairs for duplicated samples. The search is based on the genomic data (exprs(eset)), phenotype/clinical data (pData(eset)), and "smoking guns" - supposedly unique identifiers found in pData(eset).
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
75 15 exported
Complexity
6.7 avg / 65 max
Call network
75 nodes / 104 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
6,482
Files
55
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
15
Internal functions
44
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.07
testthat edition
–
CI present
Yes
CI type
["github-actions"]
PR gated
Yes
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
3.5.0
System requirements
–
C++ standard
–
License
GPL (>=2.0)
License flags
not SPDX, not OSI
History
Versions
21
First release
2016-05-15
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
1
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
- 95%
- Return-value docs
- 100%
- References docs
- 14%
Topics
People
- Levi Waldron author maintainer
- Marcel Ramos contributor
- Markus Reister author contributor