mbkmeans
Bioc currentMini-batch K-means Clustering for Single-Cell RNA-seq
Release Lineage
Entered 3.9 · May 3, 2019
Current · Requires R 4.6
Description
Implements the mini-batch k-means algorithm for large datasets, including support for on-disk data representation.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
20 6 exported
Complexity
1.1 avg / 2 max
Call network
20 nodes / 14 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
2,181
Files
37
Compiled share
34.4%
Has compiled src
Yes
Language breakdown
API
Exported functions
6
Internal functions
2
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.55
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
–
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
3.6
System requirements
1
C++ standard
–
License
MIT + file LICENSE
License flags
SPDX valid, OSI approved
History
Versions
15
First release
2019-05-02
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
100%
Dep drift
4
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
- 83%
- References docs
- 25%
Topics
Depended on by (5)
Bioconductor (5)
People
- Davide Risso author maintainer cph
- Stephanie Hicks author cph
- Yuwei Ni author cph
- Elizabeth Purdom author cph