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ProtGenerics

Bioc current

Generic infrastructure for Bioconductor mass spectrometry packages

v1.44.0 · software · Artistic-2.0

Release Lineage

Entered 3.1 · Apr 17, 2015

Current · Requires R 4.6

1.0 In 23 of 49 releases 3.23

Description

S4 generic functions and classes needed by Bioconductor proteomics packages.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

3 0 exported

Complexity

2 avg / 2 max

Call network

3 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

1,080

Files

20

Compiled share

0%

Has compiled src

No

Language breakdown

R 519 (48.1%)Tests 39 (3.6%)Docs 522 (48.3%)

API

Exported functions

2

Internal functions

1

Recent export changes

v3.6+1 writeMSData

Testing & CI

Has tests

Yes

Test-to-code ratio

0.08

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

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

System requirements

C++ standard

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

23

First release

2015-04-16

Latest release

2026-04-28

Avg cadence

183 days

Cold removal rate

100%

Dep drift

1

LOC over versions

v3.1: 173 LOCv3.2: 176 LOCv3.3: 179 LOCv3.4: 179 LOCv3.5: 179 LOCv3.6: 185 LOCv3.7: 185 LOCv3.8: 185 LOCv3.9: 185 LOCv3.10: 366 LOCv3.11: 372 LOCv3.12: 372 LOCv3.13: 697 LOCv3.14: 705 LOCv3.15: 711 LOCv3.16: 713 LOCv3.17: 713 LOCv3.18: 713 LOCv3.19: 947 LOCv3.20: 950 LOCv3.21: 1,080 LOCv3.22: 1,080 LOCv3.23: 1,080 LOC

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

Topics

Depended on by (31)

People

Laurent Gatto

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ProtGenerics")

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 ProtGenerics version 1.44.0 [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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