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R3CPET

Bioc current

3CPET: Finding Co-factor Complexes in Chia-PET experiment using a Hierarchical Dirichlet Process

v1.44.0 · Package record · software · GPL (>=2)

Release Lineage

Entered 3.1 · Apr 17, 2015

Current · Requires R 4.6

1.0 In 23 of 49 releases 3.23

Description

The package provides a method to infer the set of proteins that are more probably to work together to maintain chormatin interaction given a ChIA-PET experiment results.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

109 4 exported

Complexity

4.4 avg / 19 max

Call network

109 nodes / 36 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

6,181

Files

95

Compiled share

20%

Has compiled src

Yes

Language breakdown

R 2,389 (38.7%)C/C++/src 1,236 (20%)Tests 65 (1.1%)Docs 2,016 (32.6%)Vignettes 475 (7.7%)

API

Exported functions

4

Internal functions

50

Testing

Has tests

Yes

Test-to-code ratio

0.03

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

16.7%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.2

System requirements

–

C++ standard

–

License

GPL (>=2)

License flags

not SPDX, not OSI

History

Versions

23

First release

2015-04-16

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

5

LOC over versions

v3.1: 6,051 LOCv3.2: 6,201 LOCv3.3: 6,219 LOCv3.4: 6,224 LOCv3.5: 6,229 LOCv3.6: 6,229 LOCv3.7: 6,229 LOCv3.8: 6,229 LOCv3.9: 6,229 LOCv3.10: 6,229 LOCv3.11: 6,229 LOCv3.12: 6,181 LOCv3.13: 6,181 LOCv3.14: 6,181 LOCv3.15: 6,181 LOCv3.16: 6,181 LOCv3.17: 6,181 LOCv3.18: 6,181 LOCv3.19: 6,181 LOCv3.20: 6,181 LOCv3.21: 6,181 LOCv3.22: 6,181 LOCv3.23: 6,181 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 · 387 wordsVignettesYes · 1 · dynamicNEWSYes · 33% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
35includes a package overview page
Examples that run
91%31 run in a plain check · 3 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
46%

Repository practices

Upstream repositoryBeta

Checks run against github.com/sirusb/r3cpet 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 · 5
NameClassSizeAlso in
Chromosomsdata.frame24 × 2No other package
PPI.Biogridigraph169,166 edgesNo other package
PPI.HPRDigraph39,042 edgesNo other package
RPKMSdata.frame30,627 × 2No other package
geneLocations.nucleusdata.frame5,736 × 11No other package

All of R3CPET's data objects

Topics

Available on

CRANr2uBioconductorautoCRANCOPR

People (from the free-text Author field)

Cite

Cite this package

Run in R for the authors' entry:

citation("R3CPET")

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

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 R3CPET version 1.44.0 [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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