SUITOR
Bioc currentSelecting the number of mutational signatures through cross-validation
Release Lineage
Entered 3.16 · Nov 2, 2022
Current · Requires R 4.6
Description
An unsupervised cross-validation method to select the optimal number of mutational signatures. A data set of mutational counts is split into training and validation data.Signatures are estimated in the training data and then used to predict the mutations in the validation data.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
56 4 exported
Complexity
4.2 avg / 14 max
Call network
56 nodes / 71 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
2,465
Files
24
Compiled share
57.2%
Has compiled src
Yes
Language breakdown
API
Exported functions
4
Internal functions
18
Testing & CI
Has tests
Yes
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
4.2.0
System requirements
–
C++ standard
–
License
GPL-2
License flags
SPDX valid, OSI approved
History
Versions
8
First release
2022-11-01
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
- Bill Wheeler maintainer
- DongHyuk Lee author
- Bin Zhu author