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Rcpi

Bioc current

Molecular Informatics Toolkit for Compound-Protein Interaction in Drug Discovery

v1.48.0 · software · Artistic-2.0 | file LICENSE

Release Lineage

Entered 2.14 · Apr 14, 2014

Current · Requires R 4.6

1.0 In 25 of 49 releases 3.23

Description

A molecular informatics toolkit with an integration of bioinformatics and chemoinformatics tools for drug discovery.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

149 129 exported

Complexity

3 avg / 22 max

Call network

149 nodes / 150 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

18,575

Files

392

Compiled share

0%

Has compiled src

No

Language breakdown

R 8,970 (48.3%)Tests 158 (0.9%)Docs 7,183 (38.7%)Vignettes 2,264 (12.2%)

API

Exported functions

129

Internal functions

20

Testing & CI

Has tests

Yes

Test-to-code ratio

0.02

testthat edition

3

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

171

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.0.2

System requirements

C++ standard

License

Artistic-2.0 | file LICENSE

License flags

SPDX valid, not OSI

History

Versions

25

First release

2014-09-10

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

12

LOC over versions

v2.14: 19,884 LOCv3.0: 19,884 LOCv3.1: 19,884 LOCv3.2: 19,884 LOCv3.3: 19,884 LOCv3.4: 20,185 LOCv3.5: 20,638 LOCv3.6: 20,637 LOCv3.7: 20,509 LOCv3.8: 20,573 LOCv3.9: 20,465 LOCv3.10: 20,465 LOCv3.11: 20,465 LOCv3.12: 20,465 LOCv3.13: 20,465 LOCv3.14: 20,465 LOCv3.15: 18,867 LOCv3.16: 18,867 LOCv3.17: 18,575 LOCv3.18: 18,575 LOCv3.19: 18,575 LOCv3.20: 18,575 LOCv3.21: 18,575 LOCv3.22: 18,575 LOCv3.23: 18,575 LOC

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

Documentation

Documentation
READMEYes · 533 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 100% structuredCode of conductYesContributing guideYes
Examples that run
99%
Documented parameters
98%
Return-value docs
100%
References docs
27%

Topics

Depended on by (1)

Bioconductor (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("Rcpi")
Xiao, N., Cao, D., & Xu, Q. (2026). Rcpi: Molecular Informatics Toolkit for Compound-Protein Interaction in Drug Discovery (Version 1.48.0) [Computer software]. https://bioconductor.org/packages/Rcpi

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 Rcpi version 1.48.0 [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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