scDD
Bioc currentMixture modeling of single-cell RNA-seq data to identify genes with differential distributions
Release Lineage
Entered 3.5 · Apr 25, 2017
Current · Requires R 4.6
Description
This package implements a method to analyze single-cell RNA- seq Data utilizing flexible Dirichlet Process mixture models. Genes with differential distributions of expression are classified into several interesting patterns of differences between two conditions. The package also includes functions for simulating data with these patterns from negative binomial distributions.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
30 6 exported
Complexity
13 avg / 74 max
Call network
30 nodes / 39 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
6,814
Files
65
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
6
Internal functions
27
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
SPDX valid, OSI approved
History
Versions
19
First release
2017-04-24
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
100%
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
- 93%
- Return-value docs
- 100%
- References docs
- 85%
Topics
Depended on by (2)
People
- Keegan Korthauer maintainer author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("scDD")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
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