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StatescopeR

Bioc current

StatescopeR framework for discovery of cell states from cell type-specific gene expression profiles inferred from bulk mRNA profiles

v1.0.2 · Package record · software · MIT + file LICENSE

Release Lineage

Entered 3.23 · Apr 29, 2026

Current · Requires R 4.6

1.0 In 1 of 49 releases 3.23

Description

StatescopeR is an R wrapper around Statescope, a computational framework designed to discover cell states from cell type-specific gene expression profiles inferred from bulk RNA profiles.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

10 10 exported

Complexity

3.9 avg / 6 max

Call network

10 nodes / 0 edges

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

Loading call graph…

Lowest coverage

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

Code

Structure

Lines of code

1,843

Files

46

Compiled share

0%

Has compiled src

No

Language breakdown

R 887 (48.1%)Tests 84 (4.6%)Docs 586 (31.8%)Vignettes 286 (15.5%)

API

Exported functions

10

Internal functions

0

Recent export changes

v3.23+10 BLADE_deconvolution, Refinement, StateDiscovery +7 more

Testing

Has tests

Yes

Test-to-code ratio

0.09

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

25%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.6.0

System requirements

–

C++ standard

–

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

1

First release

2026-05-20

Latest release

2026-05-20

Avg cadence

–

Cold removal rate

–

Dep drift

0

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

Documentation

In the Bioconductor 3.23 release
READMEYes · 53 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 1.0.1Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
12 (1 internal)includes a package overview page
Examples that run
100%10 run in a plain check (5 of them under a condition)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%
Changes in 1.0.1 (Bioconductor 3.23)
  • Deprecation warning of aggregrateAcrossCells and fitTrendVar fix

From NEWS.md in the release

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/tgac-vumc/statescoper on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Coverage (1)
Coverage reporting
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 5
NameClassSizeAlso in
Statescope–––
prior–––
selected_genesvector3 elementsNo other package
signature–––
true_fractions–––

All of StatescopeR's data objects

Topics

Maintainer
Mischa Steketee

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("StatescopeR")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.21203/rs.3.rs-4252952/v1.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for StatescopeR version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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