semisup
Bioc currentSemi-Supervised Mixture Model
Release Lineage
Entered 3.5 · Apr 25, 2017
Current · Requires R 4.6
Description
Implements a parametric semi-supervised mixture model. The permutation test detects markers with main or interactive effects, without distinguishing them. Possible applications include genome-wide association analysis and differential expression analysis.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
10 9 exported
Complexity
14.3 avg / 65 max
Call network
10 nodes / 11 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
3,131
Files
63
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
9
Internal functions
1
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.16
testthat edition
–
CI present
Yes
CI type
["travis","appveyor"]
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
3.0.0
System requirements
–
C++ standard
–
License
GPL-3
License flags
SPDX valid, OSI approved
History
Versions
19
First release
2017-05-05
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
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Topics
People
- Armin Rauschenberger author maintainer