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standR

Bioc current

Spatial transcriptome analyses of Nanostring's DSP data in R

v1.16.0 · software · MIT + file LICENSE

Release Lineage

Entered 3.15 · Apr 27, 2022

Current · Requires R 4.6

1.0 In 9 of 49 releases 3.23

Description

standR is an user-friendly R package providing functions to assist conducting good-practice analysis of Nanostring's GeoMX DSP data. All functions in the package are built based on the SpatialExperiment object, allowing integration into various spatial transcriptomics-related packages from Bioconductor. standR allows data inspection, quality control, normalization, batch correction and evaluation with informative visualizations.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

43 17 exported

Complexity

2.7 avg / 13 max

Call network

43 nodes / 41 edges

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

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Lowest coverage

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

Code

Structure

Lines of code

3,965

Files

71

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,172 (54.8%)Tests 433 (10.9%)Docs 1,091 (27.5%)Vignettes 269 (6.8%)

API

Exported functions

21

Internal functions

26

Testing & CI

Has tests

Yes

Test-to-code ratio

0.20

testthat edition

3

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

4.5%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1

System requirements

C++ standard

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

9

First release

2022-04-26

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

2

LOC over versions

v3.15: 3,906 LOCv3.16: 4,023 LOCv3.17: 3,955 LOCv3.18: 3,934 LOCv3.19: 3,938 LOCv3.20: 3,959 LOCv3.21: 3,966 LOCv3.22: 3,965 LOCv3.23: 3,965 LOC

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

Documentation

Documentation
READMEYes · 111 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
9%

Topics

Depended on by (1)

Bioconductor (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("standR")
Liu, N., Bhuva, D. D., & Mohamed, A. (2026). standR: Spatial transcriptome analyses of Nanostring's DSP data in R (Version 1.16.0) [Computer software]. https://bioconductor.org/packages/standR

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for standR version 1.16.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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