M3Drop
Bioc currentMichaelis-Menten Modelling of Dropouts in single-cell RNASeq
Release Lineage
Entered 3.4 · Oct 18, 2016
Current · Requires R 4.6
Description
This package fits a model to the pattern of dropouts in single-cell RNASeq data. This model is used as a null to identify significantly variable (i.e. differentially expressed) genes for use in downstream analysis, such as clustering cells. Also includes an method for calculating exact Pearson residuals in UMI-tagged data using a library-size aware negative binomial model.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
97 6 exported
Complexity
3.4 avg / 14 max
Call network
97 nodes / 95 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
4,795
Files
60
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
34
Internal functions
61
Recent export changes
Testing & CI
Has tests
No
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
0%
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
3.4
System requirements
–
C++ standard
–
License
GPL (>=2)
License flags
not SPDX, not OSI
History
Versions
20
First release
2016-10-17
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
100%
Dep drift
7
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
- 93%
- Return-value docs
- 100%
- References docs
- 17%
Topics
Depended on by (1)
Bioconductor (1)
People
Tallulah Andrews
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("M3Drop")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.