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blacksheepr

Bioc current

Outlier Analysis for pairwise differential comparison

v1.26.0 · Package record · software · MIT + file LICENSE

Release Lineage

Entered 3.10 · Oct 30, 2019

Current · Requires R 4.6

1.0 In 14 of 49 releases 3.23

Description

Blacksheep is a tool designed for outlier analysis in the context of pairwise comparisons in an effort to find distinguishing characteristics from two groups. This tool was designed to be applied for biological applications such as phosphoproteomics or transcriptomics, but it can be used for any data that can be represented by a 2D table, and has two sub populations within the table to compare.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

15 11 exported

Complexity

4.3 avg / 15 max

Call network

15 nodes / 10 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

2,487

Files

29

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,195 (48%)Tests 110 (4.4%)Docs 722 (29%)Vignettes 460 (18.5%)

API

Exported functions

11

Internal functions

4

Testing

Has tests

Yes

Test-to-code ratio

0.09

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.6

System requirements

–

C++ standard

–

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

14

First release

2019-10-29

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.10: 2,463 LOCv3.11: 2,463 LOCv3.12: 2,463 LOCv3.13: 2,487 LOCv3.14: 2,487 LOCv3.15: 2,487 LOCv3.16: 2,487 LOCv3.17: 2,487 LOCv3.18: 2,487 LOCv3.19: 2,487 LOCv3.20: 2,487 LOCv3.21: 2,487 LOCv3.22: 2,487 LOCv3.23: 2,487 LOC

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 · 11 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
14
Examples that run
100%11 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Repository practices

Upstream repositoryBeta

Checks run against github.com/ruggleslab/blacksheepr on 2026-10-21.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 3
NameClassSizeAlso in
sample_annotationdatadata.frame76 × 6No other package
sample_phosphodatadata.frame15,532 × 76No other package
sample_rnadatadata.frame4,317 × 76No other package

All of blacksheepr's data objects

Topics

Maintainer
RugglesLab

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("blacksheepr")
RugglesLab, & Cornwell, M. (2026). blacksheepr: Outlier Analysis for pairwise differential comparison (Version 1.26.0) [Computer software]. https://bioconductor.org/packages/blacksheepr

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 blacksheepr version 1.26.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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