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yamss

Bioc current

Tools for high-throughput metabolomics

v1.38.0 · Package record · software · Artistic-2.0

Release Lineage

Entered 3.4 · Oct 18, 2016

Current · Requires R 4.6

1.0 In 20 of 49 releases 3.23

Description

Tools to analyze and visualize high-throughput metabolomics data aquired using chromatography-mass spectrometry. These tools preprocess data in a way that enables reliable and powerful differential analysis. At the core of these methods is a peak detection phase that pools information across all samples simultaneously. This is in contrast to other methods that detect peaks in a sample-by-sample basis.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

42 13 exported

Complexity

2.7 avg / 18 max

Call network

42 nodes / 51 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

2,374

Files

33

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,104 (46.5%)Tests 20 (0.8%)Docs 509 (21.4%)Vignettes 741 (31.2%)

API

Exported functions

13

Internal functions

23

Testing

Has tests

Yes

Test-to-code ratio

0.02

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

8.3%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.3.0

System requirements

–

C++ standard

–

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

20

First release

2017-02-26

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.4: 2,313 LOCv3.5: 2,340 LOCv3.6: 1,814 LOCv3.7: 1,814 LOCv3.8: 1,814 LOCv3.9: 1,814 LOCv3.10: 1,814 LOCv3.11: 1,814 LOCv3.12: 1,814 LOCv3.13: 1,814 LOCv3.14: 1,814 LOCv3.15: 1,808 LOCv3.16: 1,808 LOCv3.17: 1,808 LOCv3.18: 1,808 LOCv3.19: 2,374 LOCv3.20: 2,374 LOCv3.21: 2,374 LOCv3.22: 2,374 LOCv3.23: 2,374 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 · 70 wordsVignettesYes · 1 · dynamicNEWSYesCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
11
Examples that run
90%9 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
78%
Help pages citing references
0%
Vignettes (1)

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/hansenlab/yamss on 2026-10-11.

Continuous integration (1)
Travis CI (config file)
How this is detected·Detection ruleset v3 (2026-09-26)

Datasets

Bundled datasets · 1
NameClassSizeAlso in
cmsRawExample–––

All of yamss's data objects

Topics

Maintainer
Leslie Myint

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("yamss")

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

It points to 10.1021/acs.analchem.6b04719.

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 yamss version 1.38.0 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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