R Observatory: Metrics for splatter version 1.36.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

splatter

Bioc current

Simple Simulation of Single-cell RNA Sequencing Data

v1.36.0 · software · GPL-3 + file LICENSE

View on Bioconductor ↗ Source ↗

Release Lineage

Entered 3.5 · Apr 25, 2017

Current · Requires R 4.6

1.0 In 19 of 49 releases 3.23

Description

Splatter is a package for the simulation of single-cell RNA sequencing count data. It provides a simple interface for creating complex simulations that are reproducible and well-documented. Parameters can be estimated from real data and functions are provided for comparing real and simulated datasets.

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

154 60 exported

Complexity

3.7 avg / 24 max

Call network

154 nodes / 209 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Call graph

Open call graph →

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

20,282

Files

226

Compiled share

0%

Has compiled src

No

Language breakdown

R 12,610 (62.2%)Tests 1,032 (5.1%)Docs 4,939 (24.4%)Vignettes 1,701 (8.4%)

API

Exported functions

63

Internal functions

94

Recent export changes

v3.7+3 newSparseDCParams, sparseDCEstimate, sparseDCSimulate

v3.6+14 BASiCSEstimate, BASiCSSimulate, compareSCEs +11 more −2 compareSCESets, diffSCESets

Testing & CI

Has tests

Yes

Test-to-code ratio

0.08

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

50%

Unsafe pattern score

0

Dep constraint coverage

5%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.0

System requirements

–

C++ standard

–

License

GPL-3 + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

19

First release

2017-05-25

Latest release

2026-04-28

Avg cadence

178 days

Cold removal rate

100%

Dep drift

18

LOC over versions

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

READMEYes · 269 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 81%
Documented parameters: 98%
Return-value docs: 100%
References docs: 9%

Topics

Software › Technology › SingleCell

Software › Technology › Sequencing › RNASeq

Software › ResearchField › Transcriptomics

Software › AssayDomain › GeneExpression

Software › Technology › Sequencing

Software

Software › ResearchField › Immunology › ImmunoOncology

Depended on by (13)

Bioconductor (12)

anglemania BatChef ccImpute HVP mastR NewWave scone scPCA smartid ESCO PsiNorm SummarizedBenchmark

CRAN (1)

scellpam

People

Luke Zappia author maintainer
Christina Azodi contributor
Alicia Oshlack author
Belinda Phipson author

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("splatter")

Format

Zappia, L., Azodi, C., Oshlack, A., & Phipson, B. (2026). splatter: Simple Simulation of Single-cell RNA Sequencing Data (Version 1.36.0) [Computer software]. https://bioconductor.org/packages/splatter

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

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for splatter version 1.36.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

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.

Report a problem with this page →